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Background: Months after infection with severe acute respiratory syndrome coronavirus 2, at least 10% of patients still experience complaints. Long-COVID (coronavirus disease 2019) is a heterogeneous disease, and clustering efforts revealed multiple phenotypes on a clinical level. However, the molecular pathways underlying long-COVID phenotypes are still poorly understood., Objectives: We sought to cluster patients according to their blood transcriptomes and uncover the pathways underlying their disease., Methods: Blood was collected from 77 patients with long-COVID from the Precision Medicine for more Oxygen (P4O2) COVID-19 study. Unsupervised hierarchical clustering was performed on the whole blood transcriptome. These clusters were analyzed for differences in clinical features, pulmonary function tests, and gene ontology term enrichment., Results: Clustering revealed 2 distinct clusters on a transcriptome level. Compared with cluster 2 (n = 65), patients in cluster 1 (n = 12) showed a higher rate of preexisting cardiovascular disease (58% vs 22%), higher prevalence of gastrointestinal symptoms (58% vs 29%), shorter hospital duration during severe acute respiratory syndrome coronavirus 2 infection (median, 3 vs 8 days), lower FEV 1 /forced vital capacity (72% vs 81%), and lower diffusion capacity of the lung for carbon monoxide (68% vs 85% predicted). Gene ontology term enrichment analysis revealed upregulation of genes involved in the antiviral innate immune response in cluster 1, whereas genes involved with the adaptive immune response were upregulated in cluster 2., Conclusions: This study provides a start in uncovering the pathophysiological mechanisms underlying long-COVID. Further research is required to unravel why the immune response is different in these clusters, and to identify potential therapeutic targets to create an optimized treatment or monitoring strategy for the individual long-COVID patient., Competing Interests: Disclosure statement Disclosure of potential conflict of interest: K. Golebski received funds paid to the institution from the ZonMW grant long COVID; received funds from GlaxoSmithKline (GSK), ALK, and STIMAG; and received consulting fees from GSK. J. W. Duitman has received research funding from Boehringer Ingelheim and Abbvie. M. I. Abdel-Aziz was funded by a full PhD scholarship from the Ministry of Higher Education of the Arab Republic of Egypt during the conduct of the study and received a grant from Stichting Astma Bestrijding. A. H. Maitland-van der Zee received money paid to the institution from the ERANET Systems Medicine and ZonMW grant, another ZonMW grant for COVID-19 research, the Stichting TAAI research grant, the EUROSTARS research grant COPDetect, an unrestricted research grant from Boehringer Ingelheim and GSK, an unrestricted research grant from the Vertex Innovation Award, and the Innovative Health Initiative 3TR research grant; is the (unpaid) chair of the DSMB SOS BPD study; and was the president of the federation of innovative drug research in the Netherlands (FIGON). The rest of the authors declare that they have no relevant conflicts of interest. Data availability: The data are available in the GEO omnibus under accession GSE267625. Also accessible with the link https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE267625., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: The highly effective Cystic Fibrosis Transmembrane conductance Regulator (CFTR) modulator, elexacaftor-tezacaftor-ivacaftor, is now widely being used by people with cystic fibrosis. However, few independent studies have detailed the pharmacokinetics (PK) of CFTR modulators. Blood collection by venipuncture is the gold standard for PK measurements, but it is invasive. The aim of this study was to develop and clinically validate a quantification method for elexacaftor, tezacaftor, ivacaftor, and their main metabolites in dried blood spots (DBSs) using liquid chromatography with tandem mass spectrometry., Methods: Linearity, accuracy, precision, stability, hematocrit (Hct), spot-to-spot carryover, spot volume, and extraction efficiency were validated in DBS for all analytes. The clinical validation of elexacaftor-tezacaftor-ivacaftor in patients was performed by comparing 21 DBS samples with matched plasma samples., Results: The preset requirements for linearity, within-run and between-run accuracy, precision, Hct, spot volume, and extraction efficiency were met. Puncher carryover was observed and resolved by punching 3 blanks after each sample. The samples remained stable and showed no notable degradation across the tested temperatures and time intervals. Corrected DBS values with the Passing-Bablok regression equation showed good agreement in Bland-Altman plots, and acceptance values were within 20% of the mean for a minimum of 67% of the repeats, according to the EMA guidelines., Conclusions: A quantification method for the analysis of elexacaftor, tezacaftor, ivacaftor, and their main metabolites was developed and clinically validated in DBS. This method could be valuable in both clinical care and research to address unanswered PK questions regarding CFTR modulators., Competing Interests: The authors declare no conflict of interest., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

Background: Asthma, a complex respiratory disease, presents with inflammatory symptoms in the lungs, blood, and other tissues. We investigated the relationship between DNA methylation and 35 clinical markers of asthma. The Illumina Infinium EPIC v1 methylation array was used to evaluate 742,442 CpGs in whole blood samples from 319 participants. They were part of the Netherlands Twin Register from families with at least one member suffering from severe asthma. Repeat blood samples were taken after 10 years from 182 of these individuals. Principal component analysis (PCA) on the clinical markers yielded ten principal components (PCs) that explained 92.8% of the total variance. We performed epigenome-wide association studies (EWAS) for each of the ten PCs correcting for familial structure and other covariates., Results: 221 unique CpGs reached genome-wide significance at timepoint 1 (T1) after Bonferroni correction. PC7 accounted for the majority of associations (204), which correlated with loadings of eosinophil counts and immunoglobulin levels. Enrichment analysis via the EWAS Atlas identified 190 of these CpGs to be previously identified in EWASs of asthma and asthma-related traits. Proximity assessment to previously identified SNPs associated with asthma identified 17 unique SNPs within 1 MB of two of the 221 CpGs. EWAS in 182 individuals with epigenetic data at a second timepoint (T2) identified 49 significant CpGs. EWAS Atlas enrichment analysis indicated that 4 of the 49 were previously associated with asthma or asthma-related traits. Comparing the estimates of all the significant associations identified across the two time points (271 in total) yielded a correlation of 0.81., Conclusion: We identified 270 unique CpGs that were associated with PC scores generated from 35 clinical markers of asthma, either cross-sectionally or 10 years later. A strong correlation was present between effect sizes at the 2 timepoints. Most associations were identified for PC7, which captured blood eosinophil counts and immunoglobulin levels and many of these CpGs have previous associations in earlier studies of asthma and asthma-related traits. The results point to using this robust DNA methylation profile as a new, stable biomarker for asthma.

Background: Pediatric Post-COVID-Condition (PPCC) clinics treat children despite limited scientific substantiation. By exploring real-life management of children diagnosed with PPCC, the International Post-COVID-Condition in Children Collaboration (IP4C) aimed to provide guidance for future PPCC care., Methods: We performed a cross-sectional international, multicenter study on used PPCC definitions; the organization of PPCC care programs and patients characteristics. We compared aggregated data from PPCC cohorts and identified priorities to improve PPCC care., Results: Ten PPCC care programs and six COVID-19 follow-up research cohorts participated. Aggregated data from 584 PPCC patients was analyzed. The most common symptoms included fatigue (71%), headache (55%), concentration difficulties (53%), and brain fog (48%). Severe limitations in daily life were reported in 31% of patients. Most PPCC care programs organized in-person visits with multidisciplinary teams. Diagnostic testing for respiratory and cardiac morbidity was most frequently performed and seldom abnormal. Treatment was often limited to physical therapy and psychological support., Conclusions: We found substantial heterogeneity in both the diagnostics and management of PPCC, possibly explained by scarce scientific evidence and lack of standardized care. We present a list of components which future guidelines should address, and outline priorities concerning PPCC care pathways, research and international collaboration., Impact: Pediatric Post-COVID Condition (PPCC) Care programs have been initiated in many countries. Children with PPCC in different countries are affected by similar symptoms, limiting many to participate in daily life. There is substantial heterogeneity in diagnostic testing. Access to specific diagnostic tests is required to identify some long-term COVID-19 sequelae. Treatments provided were limited to physical therapy and psychological support. This study emphasizes the need for evidence-based diagnostics and treatment of PPCC. The International Post-COVID Collaboration for Children (IP4C) provides guidance for guideline development and introduces a framework of priorities for PPCC care and research, to improve PPCC outcomes., (© 2024. The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc.)

Background: Clustering approaches using single omics platforms are increasingly used to characterise molecular phenotypes of eosinophilic and neutrophilic asthma. Effective integration of multi-omics platforms should lead towards greater refinement of asthma endotypes across molecular dimensions and indicate key targets for intervention or biomarker development., Objectives: To determine whether multi-omics integration of sputum leads to improved granularity of the molecular classification of severe asthma., Methods: We analyzed six -omics data blocks-microarray transcriptomics, gene set variation analysis of microarray transcriptomics, SomaSCAN proteomics assay, shotgun proteomics, 16S microbiome sequencing, and shotgun metagenomic sequencing-from induced sputum samples of 57 severe asthma patients, 15 mild-moderate asthma patients, and 13 healthy volunteers in the U-BIOPRED European cohort. We used Monti consensus clustering algorithm for aggregation of clustering results and Similarity Network Fusion to integrate the 6 multi-omics datasets of the 72 asthmatics., Results: Five stable omics-associated clusters were identified (OACs). OAC1 had the best lung function with the least number of severe asthmatics with sputum paucigranulocytic inflammation. OAC5 also had fewer severe asthma patients but the highest incidence of atopy and allergic rhinitis, with paucigranulocytic inflammation. OAC3 comprised only severe asthmatics with the highest sputum eosinophilia. OAC2 had the highest sputum neutrophilia followed by OAC4 with both clusters consisting of mostly severe asthma but with more ex/current smokers in OAC4. Compared to OAC4, there was higher incidence of nasal polyps, allergic rhinitis, and eczema in OAC2. OAC2 had microbial dysbiosis with abundant Moraxella catarrhalis and Haemophilus influenzae. OAC4 was associated with pathways linked to IL-22 cytokine activation, with the prediction of therapeutic response to anti-IL22 antibody therapy., Conclusion: Multi-omics analysis of sputum in asthma has defined with greater granularity the asthma endotypes linked to neutrophilic and eosinophilic inflammation. Modelling diverse types of high-dimensional interactions will contribute to a more comprehensive understanding of complex endotypes., Key Points: Unsupervised clustering on sputum multi-omics of asthma subjects identified 3 out of 5 clusters with predominantly severe asthma. One severe asthma cluster was linked to type 2 inflammation and sputum eosinophilia while the other 2 clusters to sputum neutrophilia. One severe neutrophilic asthma cluster was linked to Moraxella catarrhalis and to a lesser extent Haemophilus influenzae while the second cluster to activation of IL-22., (© 2024 The Author(s). Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.)

Background: Disorders of mucociliary clearance, such as cystic fibrosis (CF), primary ciliary dyskinesia (PCD) and bronchiectasis of unknown origin, are characterised by periods with increased respiratory symptoms, referred to as pulmonary exacerbations. These exacerbations are hard to predict and associated with lung function decline and the loss of quality of life. To optimise treatment and preserve lung function, there is a need for non-invasive and reliable methods of detection. Breath analysis might be such a method. Methods: We systematically reviewed the existing literature on breath analysis to detect pulmonary exacerbations in mucociliary clearance disorders. Extracted data included the study design, technique of measurement, definition of an exacerbation, identified compounds and diagnostic accuracy. Results: Out of 244 identified articles, 18 were included in the review. All studies included patients with CF and two also with PCD. Age and the definition of exacerbation differed between the studies. There were five that measured volatile organic compounds (VOCs) in exhaled breath using gas chromatography with mass spectrometry, two using an electronic nose and eleven measured organic compounds in exhaled breath condensate. Most studies showed a significant correlation between pulmonary exacerbations and one or multiple compounds, mainly hydrocarbons and cytokines, but the validation of these results in other studies was lacking. Conclusions: The detection of pulmonary exacerbations by the analysis of compounds in exhaled breath seems possible but is not near clinical application due to major differences in results, study design and the definition of an exacerbation. There is a need for larger studies, with a longitudinal design, international accepted definition of an exacerbation and validation of the results in independent cohorts.

Background: While some long-term effects of COVID-19 are respiratory in nature, a non-respiratory effect gaining attention has been a decline in hemoglobin, potentially mediated by inflammatory processes. In this study, we examined the correlations between hemoglobin levels and inflammatory biomarkers and evaluated the association between hemoglobin and fatigue in a cohort of Long-COVID patients. Methods: This prospective cohort study in the Netherlands evaluated 95 (mostly hospitalized) patients, aged 40-65 years, 3-6 months post SARS-CoV-2 infection, examining their venous hemoglobin concentration, anemia (hemoglobin < 7.5 mmol/L in women and <8.5 mmol/L in men), inflammatory blood biomarkers, average FSS (Fatigue Severity Score), demographics, and clinical features. Follow-up hemoglobin was compared against hemoglobin during acute infection. Spearman correlation was used for assessing the relationship between hemoglobin concentrations and inflammatory biomarkers, and the association between hemoglobin and fatigue was examined using logistic regression. Results: In total, 11 (16.4%) participants were suffering from anemia 3-6 months after SARS-CoV-2 infection. The mean hemoglobin value increased by 0.3 mmol/L 3-6 months after infection compared to the hemoglobin during the acute phase ( p -value = 0.003). Whilst logistic regression showed that a 1 mmol/L greater increase in hemoglobin is related to a decrease in experiencing fatigue in Long-COVID patients (adjusted OR 0.38 [95%CI 0.13-1.09]), we observed no correlations between hemoglobin and any of the inflammatory biomarkers examined. Conclusion: Our results indicate that hemoglobin impairment might play a role in developing Long-COVID fatigue. Further investigation is necessary to identify the precise mechanism causing hemoglobin alteration in these patients.

Volatile organic compounds (VOCs) might be associated with pulmonary oxygen toxicity (POT). This pilot study aims to identify VOCs linked to oxidative stress employing an in vitro model of alveolar basal epithelial cells exposed to hyperbaric and hyperoxic conditions. In addition, the feasibility of this in vitro model for POT biomarker research was evaluated. The hyperbaric exposure protocol, similar to the U.S. Navy Treatment Table 6, was conducted on human alveolar basal epithelial cells, and the headspace VOCs were analyzed using gas chromatography-mass spectrometry. Three compounds (nonane [ p = 0.005], octanal [ p = 0.009], and decane [ p = 0.018]), of which nonane and decane were also identified in a previous in vivo study with similar hyperbaric exposure, varied significantly between the intervention group which was exposed to 100% oxygen and the control group which was exposed to compressed air. VOC signal intensities were lower in the intervention group, but cellular stress markers (IL8 and LDH) confirmed increased stress and injury in the intervention group. Despite the observed reductions in compound expression, the model holds promise for POT biomarker exploration, emphasizing the need for further investigation into the complex relationship between VOCs and oxidative stress., Competing Interests: The authors declare no conflicts of interest.

Background: Four months after SARS-CoV-2 infection, 22%-50% of COVID-19 patients still experience complaints. Long COVID is a heterogeneous disease and finding subtypes could aid in optimising and developing treatment for the individual patient., Methods: Data were collected from 95 patients in the P4O2 COVID-19 cohort at 3-6 months after infection. Unsupervised hierarchical clustering was performed on patient characteristics, characteristics from acute SARS-CoV-2 infection, long COVID symptom data, lung function and questionnaires describing the impact and severity of long COVID. To assess robustness, partitioning around medoids was used as alternative clustering., Results: Three distinct clusters of patients with long COVID were revealed. Cluster 1 (44%) represented predominantly female patients (93%) with pre-existing asthma and suffered from a median of four symptom categories, including fatigue and respiratory and neurological symptoms. They showed a milder SARS-CoV-2 infection. Cluster 2 (38%) consisted of predominantly male patients (83%) with cardiovascular disease (CVD) and suffered from a median of three symptom categories, most commonly respiratory and neurological symptoms. This cluster also showed a significantly lower forced expiratory volume within 1 s and diffusion capacity of the lung for carbon monoxide. Cluster 3 (18%) was predominantly male (88%) with pre-existing CVD and diabetes. This cluster showed the mildest long COVID, and suffered from symptoms in a median of one symptom category., Conclusions: Long COVID patients can be clustered into three distinct phenotypes based on their clinical presentation and easily obtainable information. These clusters show distinction in patient characteristics, lung function, long COVID severity and acute SARS-CoV-2 infection severity. This clustering can help in selecting the most beneficial monitoring and/or treatment strategies for patients suffering from long COVID. Follow-up research is needed to reveal the underlying molecular mechanisms implicated in the different phenotypes and determine the efficacy of treatment., Competing Interests: Competing interests: MIA-A was funded by a full PhD scholarship from the Ministry of Higher Education of the Arab Republic of Egypt during the conduct of the study and received a grant from Stichting Astma Bestrijding. AHM received money paid to the institution from the ZonMW grant long COVID, the Stichting TAAI research grant, the EUROSTARS research grant COPDetect, an unrestricted research grant from Boehringer Ingelheim, an unrestricted research grant from the Vertex Innovation Award, a Dutch Lung Foundation grant, a Stichting Asthma Bestrijding grant and the Innovative Medicine Initiative (IMI) 3TR research grant. AHM received consulting fees from Astra Zeneca and Boehringer Ingelheim and received a honorarium for a lecture from GSK. AHM is the (unpaid) chair of the DSMB SOS BPD study, an advisory board member of the CHAMP study, president of the federation of innovative drug research in the Netherlands (FIGON) and president of the European Association of systems medicine (EASYM)., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Sepsis is a common and deadly condition. Within the current model of sepsis immunobiology, the framing of dysregulated host immune responses into proinflammatory and immunosuppressive responses for the testing of novel treatments has not resulted in successful immunomodulatory therapies. Thus, the recent focus has been to parse observable heterogeneity into subtypes of sepsis to enable personalised immunomodulation. In this Personal View, we highlight that many fundamental immunological concepts such as resistance, disease tolerance, resilience, resolution, and repair are not incorporated into the current sepsis immunobiology model. The focus for addressing heterogeneity in sepsis should be broadened beyond subtyping to encompass the identification of deterministic molecular networks or dominant mechanisms. We explicitly reframe the dysregulated host immune responses in sepsis as altered homoeostasis with pathological disruption of immune-driven resistance, disease tolerance, resilience, and resolution mechanisms. Our proposal highlights opportunities to identify novel treatment targets and could enable successful immunomodulation in the future., Competing Interests: Declaration of interests MS-H is supported by the UK National Institute for Health and Care Research (NIHR) Clinician Scientist Award (CS-2016-16-011; 2017–2023). MPS's laboratory is supported by the Calouste Gulbenkian Foundation, La Caixa Foundation (HR18-00502), Fundação para a Ciência e a Tecnologia (GlucoInfect, 5723/2014; FEDER029411, FEDER/29411/2017; Infectenergy, PTDC/MED-FSL/4681/2020; MalBil, 2022.02426.PTDC), the Oeiras–European Research Council Frontier Research Incentive Awards, SymbNET Research Grants (H2020-WIDESPREAD-2020-5-952537), and Congento (LISBOA-01-0145-FEDER-022170). MPS is an associate member of the Deutsche Forschungsgemeinschaft (DFG) Balance of the Microverse initiative (EXC 2051; 390713860). MB is principal investigator of the DFG Balance of the Microverse initiative (EXC 2051; 390713860). JCK is supported by the Medical Research Council (MR/V002503/1), a Wellcome Trust Investigator Award (204969/Z/16/Z), and Wellcome Trust grants (090532/Z/09/Z and 203141/Z/16/Z) to the Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, and the NIHR Oxford Biomedical Research Centre. JM reports grants from the Canadian Institutes of Health Research and has served as chair of data and safety monitoring boards for AM Pharma and Adrenomed. CWS reports grants from the US National Institutes of Health National Institute of General Medical Sciences, during the conduct of the study, and personal fees from Inotrem and Beckman Coulter, outside of the submitted work. IBM has received funding or consultancy fees from Abbvie, Amgen, Bristol Myers Squibb, Cabaletta, Causeway, Eli Lilly, Evelo, GSK, Janssen, Moonlake, Novartis, Pfizer, and UCB. TvdP has received grants from the EU's Horizon 2020 research and innovation funding programme (grant agreements: Flagellin Aerosol Therapy in Treatment of Drug-resistant Bacterial Pneumonia, 847786; ImmunoSEP, 847422). All other authors declare no competing interests., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Bronchial thermoplasty (BT) is a bronchoscopic treatment for severe asthma. Although multiple trials have demonstrated clinical improvement after BT, optimal patient selection remains a challenge and the mechanism of action is incompletely understood. The aim of this study was to examine whether exhaled breath analysis can contribute to discriminate between BT-responders and non-responders at baseline and to explore pathophysiological insights of BT., Methods: Exhaled breath was collected from patients at baseline and six months post-BT. Patients were defined as responders or non-responders based on a half point increase in asthma quality of life questionnaire scores. Gas chromatography-mass spectrometry was used for volatile organic compounds (VOCs) detection and analyses. Analytical workflow consisted of: 1) detection of VOCs that differentiate between responders and non-responders and those that differ between baseline and six months post-BT, 2) identification of VOCs of interest and 3) explore correlations between clinical biomarkers and VOCs., Results: Data was available from 14 patients. Nonanal, 2-ethylhexanol and 3-thujol showed a significant difference in intensity between responders and non-responders at baseline (p = 0.04, p = 0.01 and p = 0.03, respectively). After BT, no difference was found in the compound intensity of these VOCs. A negative correlation was observed between nonanal and IgE and BALF eosinophils (r = -0.68, p < 0.01 and r = -0.61, p = 0.02 respectively) and 3-thujol with BALF neutrophils (r = -0.54, p = 0.04)., Conclusions: This explorative study identified discriminative VOCs in exhaled breath between BT responders and non-responders at baseline. Additionally, correlations were found between VOC's and inflammatory BALF cells. Once validated, these findings encourage research in breath analysis as a non-invasive easy to apply technique for identifying airway inflammatory profiles and eligibility for BT or immunotherapies in severe asthma., Competing Interests: Declaration of competing interest PIB declares to have received financial support from the Netherlands LungFoundation (Grant number: 5.2.13.064JO), Stichting Astma Bestrijding (SAB): grant nr. 1018/041, The Netherlands Organization for Health Research and Development (ZonMw grant number: 90713477) and Boston Scientific Corporation during the conduct of this study. AHM reports grants from Health Holland, GSK and Boehringer Ingelheim outside the submitted work. PB reports grants from Amsterdam UMC, Vertex, Stichting Astma Bestrijding (SAB), Boehringer Ingelheim Grant, Eurostars, Horizon Europe Framework Programme (HORIZON) outside the submitted work. All other authors have no conflict of interest to disclose., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Aims: To describe pulmonary function 3-6 months following acute COVID-19, to evaluate potential predictors of decreased pulmonary function and to review literature for the effect of COVID-19 on pulmonary function., Materials and Methods: A systematic review and cohort study were conducted. Within the P4O2 COVID-19 cohort, 95 patients aged 40-65 years were recruited from outpatient post-COVID-19 clinics in five Dutch hospitals between May 2021-September 2022. At 3-6 months post COVID-19, medical records data and biological samples were collected and questionnaires were administered. In addition, pulmonary function tests (PFTs), including spirometry and transfer factor, were performed. To identify factors associated with PFTs, linear regression analyses were conducted, adjusted for covariates., Results: In PFTs (n = 90), mean ± SD % of predicted was 89.7 ± 18.2 for forced vital capacity (FVC) and 79.8 ± 20.0 for transfer factor for carbon monoxide (DLCO). FVC was

There are ample data to suggest that early-life dysbiosis of both the gut and/or airway microbiome can predispose a child to develop along a trajectory toward asthma. Although individual studies show clear associations between dysbiosis and asthma development, it is less clear what (collection of) bacterial species is mechanistically responsible for the observed effects. This is partly due to issues related to the asthma diagnosis and the broad spectrum of anatomical sites, sample techniques, and analysis protocols that are used in different studies. Moreover, there is limited attention for potential differences in the genetics of individuals that would affect the outcome of the interaction between the environment and that individual. Despite these challenges, the first bacterial components were identified that are able to affect the transcriptional state of human cells, ergo the immune system. Such molecules could in the future be the basis for intervention studies that are now (necessarily) restricted to a limited number of bacterial species. For this transition, it might be prudent to develop an ex vivo human model of a local mucosal immune system to better and safer explore the impact of such molecules. With this approach, we might move beyond association toward understanding of causality., (© 2024 The Authors. Pediatric Allergy and Immunology published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.)

Background: In the Netherlands, the prevalence of post COVID-19 condition is estimated at 12.7% at 90-150 days after SARS-CoV-2 infection. This study aimed to determine the occurrence of fatigue and other symptoms, to assess how many patients meet the Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) criteria, to identify symptom-based clusters within the P4O2 COVID-19 cohort and to compare these clusters with clusters in a ME/CFS cohort., Methods: In this multicentre, prospective, observational cohort in the Netherlands, 95 post COVID-19 patients aged 40-65 years were included. Data collection at 3-6 months after infection included demographics, medical history, questionnaires, and a medical examination. Follow-up assessments occurred 9-12 months later, where the same data were collected. Fatigue was determined with the Fatigue Severity Scale (FSS), a score of ≥ 4 means moderate to high fatigue. The frequency and severity of other symptoms and the percentage of patients that meet the ME/CFS criteria were assessed using the DePaul Symptom Questionnaire-2 (DSQ-2). A self-organizing map was used to visualize the clustering of patients based on severity and frequency of 79 symptoms. In a previous study, 337 Dutch ME/CFS patients were clustered based on their symptom scores. The symptom scores of post COVID-19 patients were applied to these clusters to examine whether the same or different clusters were found., Results: According to the FSS, fatigue was reported by 75.9% of the patients at 3-6 months after infection and by 57.1% of the patients 9-12 months later. Post-exertional malaise, sleep disturbances, pain, and neurocognitive symptoms were also frequently reported, according to the DSQ-2. Over half of the patients (52.7%) met the Fukuda criteria for ME/CFS, while fewer patients met other ME/CFS definitions. Clustering revealed specific symptom patterns and showed that post COVID-19 patients occurred in 11 of the clusters that have been observed in the ME/CFS cohort, where 2 clusters had > 10 patients., Conclusions: This study shows persistent fatigue and diverse symptomatology in post COVID-19 patients, up to 12-18 months after SARS-CoV-2 infection. Clustering showed that post COVID-19 patients occurred in 11 of the clusters that have been observed in the ME/CFS cohort., (© 2024. The Author(s).)

Background: The incidence of severe asthma exacerbations (SAE) requiring a pediatric intensive care unit (PICU) admission during the coronavirus disease 2019 (COVID-19) pandemic (and its association with public restrictions) is largely unknown. We examined the trend of SAE requiring PICU admission before, during, and after COVID-19 restrictions in Amsterdam, the Netherlands, and its relationship with features such as environmental triggers and changes in COVID-19 restriction measures., Methods: In this single-center, retrospective cohort study, all PICU admissions of children aged ≥2 years for severe asthma at the Amsterdam UMC between 2018 and 2022 were included. The concentrations of ambient fine particulate matter (PM 2.5 ) and pollen were obtained from official monitoring stations., Results: Between January 2018 and December 2022, 228 children were admitted to the PICU of the Amsterdam UMC for SAE. While we observed a decrease in admissions during periods of more stringent restriction, there was an increase in the PICU admission rate for SAE in some periods following the lifting of restrictions. In particular, following the COVID-19 restrictions in 2021, we observed a peak incidence of admissions from August to November, which was higher than any other peak during the indicated years. No association with air pollution or pollen was observed., Conclusion: We hypothesize that an increase in clinically diagnosed viral infections after lockdown periods was the reason for the altered incidence of SAE at the PICU in late 2021, rather than air pollution and pollen concentrations., (© 2023 The Authors. Pediatric Pulmonology published by Wiley Periodicals LLC.)

Background: Consistent use of reliable and clinically appropriate outcome measures is a priority for clinical trials, with clear definitions to allow comparability. We aimed to develop a core outcome set (COS) for pulmonary disease interventions in primary ciliary dyskinesia (PCD)., Methods: A multidisciplinary international PCD expert panel was set up. A list of outcomes was created based on published literature. Using a modified three-round e-Delphi technique, the panel was asked to decide on relevant end-points related to pulmonary disease interventions and how they should be reported. First, inclusion of an outcome in the COS was determined. Second, the minimum information that should be reported per outcome. The third round finalised statements. Consensus was defined as ≥80% agreement among experts., Results: During the first round, experts reached consensus on four out of 24 outcomes to be included in the COS. Five additional outcomes were discussed in subsequent rounds for their use in different subsettings. Consensus on standardised methods of reporting for the COS was reached. Spirometry, health-related quality-of-life scores, microbiology and exacerbations were included in the final COS., Conclusion: This expert consensus resulted in a COS for clinical trials on pulmonary health among people with PCD., Competing Interests: Conflict of interest: S. Aliberti has received fees outside of this work from Insmed, Zambon, AstraZeneca, CSL Behring GmbH, Grifols, Fondazione Internazionale MENARINI, MSD Italia S.r.l., Brahms, Physioassist SAS and GlaxoSmithKline. S.D. Dell has received grants outside of this work from Boehringer Ingelheim, Vertex and Sanofi, and she owns the copyright to the PCD-QOL Questionnaires. T.W. Ferkol has received consulting fees from Translate Bio and Arrowhead Pharmaceuticals. R.A. Athanazio has received personal fees outside of this work from Astrazeneca, Chiesi, GSK, Omron, Sanofi, Vertex and Zambon. K.G. Nielsen is part of the European Reference Network on respiratory diseases (ERN-LUNG) and director of PCD CTN. F.C. Ringshauen has received fees outside of this work from AstraZeneca, Boehringer Ingelheim, Celtaxsys, Corbus, Insmed, Novartis, Parion, University of Dundee, Vertex and Zambon. M. Shteinberg has received consulting fees from AstraZeneca, Boehringer Ingelheim, Dexcel, Kamada, Synchrony Medical, Trumed and Zambon. J.D. Chalmers has received grants outside of this work from AstraZeneca, Boehringer Ingelheim, Chiesi, GlaxoSmithKline, Gilead Sciences, Grifols, Insmed, Janssen, Novartis, Pfizer and Zambon; and is an associate editor of this journal. The remaining authors have nothing to disclose., (Copyright ©The authors 2024.)

Background: The global severity of SARS-CoV-2 illness has been associated with various urban characteristics, including exposure to ambient air pollutants. This systematic review and meta-analysis aims to synthesize findings from ecological and non-ecological studies to investigate the impact of multiple urban-related features on a variety of COVID-19 health outcomes., Methods: On December 5, 2022, PubMed was searched to identify all types of observational studies that examined one or more urban exposome characteristics in relation to various COVID-19 health outcomes such as infection severity, the need for hospitalization, ICU admission, COVID pneumonia, and mortality., Results: A total of 38 non-ecological and 241 ecological studies were included in this review. Non-ecological studies highlighted the significant effects of population density, urbanization, and exposure to ambient air pollutants, particularly PM 2.5 . The meta-analyses revealed that a 1 μg/m 3 increase in PM 2.5 was associated with a higher likelihood of COVID-19 hospitalization (pooled OR 1.08 (95% CI:1.02-1.14)) and death (pooled OR 1.06 (95% CI:1.03-1.09)). Ecological studies, in addition to confirming the findings of non-ecological studies, also indicated that higher exposure to nitrogen dioxide (NO 2 ), ozone (O 3 ), sulphur dioxide (SO 2 ), and carbon monoxide (CO), as well as lower ambient temperature, humidity, ultraviolet (UV) radiation, and less green and blue space exposure, were associated with increased COVID-19 morbidity and mortality., Conclusion: This systematic review has identified several key vulnerability features related to urban areas in the context of the recent COVID-19 pandemic. The findings underscore the importance of improving policies related to urban exposures and implementing measures to protect individuals from these harmful environmental stressors., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Anke-Hilse Maitland-Van der Zee reports financial support was provided by Partners in the Precision Medicine for more Oxygen (P4O2) consortium. George S. Downward reports financial support was provided by Partners in the Precision Medicine for more Oxygen (P4O2) consortium. Lizan D. Bloemsma reports financial support was provided by Partners in the Precision Medicine for more Oxygen (P4O2) consortium. Prof. Dr. Anke-Hilse Maitland-Van der Zee received the following grants (money paid to institution): ZonMW grant Long Covid - Stichting TAAI research grant CF - EUROSTARS research grant COPDetect - Unrestricted research grant Boehringer Ingelheim - Vertex Innovation Award (unrestricted research grant) - Dutch Lung Foundation grant - Stichting Astma Bestrijding grant - Innovative Medicine Initiative (IMI) 3 TR research grant George S. Downward recieved the following grants (money paid to institution): Eindhoven, Wageningen, Utrecht, UMC Utrecht Alliance (EWUU) Interdisciplinary Teaching Grant National Institutes of Health (NIH) grant on “Relative and Absolute Risk for site-Specific Cancer Mortality attributed to Household Air Pollution” NUFFIC Capacity Building Education Grant, (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Severe asthma in children and adolescents exerts a substantial health, financial, and societal burden. Severe asthma is a heterogeneous condition with multiple clinical phenotypes and underlying inflammatory patterns that might be different in individual patients. Various add-on treatments have been developed to treat severe asthma, including monoclonal antibodies (biologics) targeting inflammatory mediators. Biologics that are currently approved to treat children (≥ 6 years of age) or adolescents (≥ 12 years of age) with severe asthma include: anti-immunoglobulin E (omalizumab), anti-interleukin (IL)-5 (mepolizumab), anti-IL5 receptor (benralizumab), anti-IL4/IL13 receptor (dupilumab), and antithymic stromal lymphopoietin (TSLP) (tezepelumab). However, access to these targeted treatments varies across countries and relies on few and crude indicators. There is a need for better treatment stratification to guide which children might benefit from these treatments. In this narrative review we will assess the most recent developments in the treatment of severe pediatric asthma, as well as potential biomarkers to assess treatment efficacy for this patient population., (© 2023. The Author(s).)

Background: Because of altered airway microbiome in asthma, we analysed the bacterial species in sputum of patients with severe asthma., Methods: Whole genome sequencing was performed on induced sputum from non-smoking (SAn) and current or ex-smoker (SAs/ex) severe asthma patients, mild/moderate asthma (MMA) and healthy controls (HC). Data were analysed by asthma severity, inflammatory status and transcriptome-associated clusters (TACs)., Results: α-diversity at the species level was lower in SAn and SAs/ex, with an increase in Haemophilus influenzae and Moraxella catarrhalis, and Haemophilus influenzae and Tropheryma whipplei, respectively, compared to HC. In neutrophilic asthma, there was greater abundance of Haemophilus influenzae and Moraxella catarrhalis and in eosinophilic asthma, Tropheryma whipplei was increased. There was a reduction in α-diversity in TAC1 and TAC2 that expressed high levels of Haemophilus influenzae and Tropheryma whipplei, and Haemophilus influenzae and Moraxella catarrhalis, respectively, compared to HC. Sputum neutrophils correlated positively with Moraxella catarrhalis and negatively with Prevotella, Neisseria and Veillonella species and Haemophilus parainfluenzae. Sputum eosinophils correlated positively with Tropheryma whipplei which correlated with pack-years of smoking. α- and β-diversities were stable at one year., Conclusions: Haemophilus influenzae and Moraxella catarrhalis were more abundant in severe neutrophilic asthma and TAC2 linked to inflammasome and neutrophil activation, while Haemophilus influenzae and Tropheryma whipplei were highest in SAs/ex and in TAC1 associated with highest expression of IL-13 type 2 and ILC2 signatures with the abundance of Tropheryma whipplei correlating positively with sputum eosinophils. Whether these bacterial species drive the inflammatory response in asthma needs evaluation., (© 2023 The Authors. Allergy published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.)

Background: Patients with COPD are at high risk of lung cancer developing, but no validated predictive biomarkers have been reported to identify these patients. Molecular profiling of exhaled breath by electronic nose (eNose) technology may qualify for early detection of lung cancer in patients with COPD., Research Question: Can eNose technology be used for prospective detection of early lung cancer in patients with COPD?, Study Design and Methods: BreathCloud is a real-world multicenter prospective follow-up study using diagnostic and monitoring visits in day-to-day clinical care of patients with a standardized diagnosis of asthma, COPD, or lung cancer. Breath profiles were collected at inclusion in duplicate by a metal-oxide semiconductor eNose positioned at the rear end of a pneumotachograph (SpiroNose; Breathomix). All patients with COPD were managed according to standard clinical care, and the incidence of clinically diagnosed lung cancer was prospectively monitored for 2 years. Data analysis involved advanced signal processing, ambient air correction, and statistics based on principal component (PC) analysis, linear discriminant analysis, and receiver operating characteristic analysis., Results: Exhaled breath data from 682 patients with COPD and 211 patients with lung cancer were available. Thirty-seven patients with COPD (5.4%) demonstrated clinically manifest lung cancer within 2 years after inclusion. Principal components 1, 2, and 3 were significantly different between patients with COPD and those with lung cancer in both training and validation sets with areas under the receiver operating characteristic curve of 0.89 (95% CI, 0.83-0.95) and 0.86 (95% CI, 0.81-0.89). The same three PCs showed significant differences (P < .01) at baseline between patients with COPD who did and did not subsequently demonstrate lung cancer within 2 years, with a cross-validation value of 87% and an area under the receiver operating characteristic curve of 0.90 (95% CI, 0.84-0.95)., Interpretation: Exhaled breath analysis by eNose identified patients with COPD in whom lung cancer became clinically manifest within 2 years after inclusion. These results show that eNose assessment may detect early stages of lung cancer in patients with COPD., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Objective: Evidence shows that the conventional cardiometabolic risk factors do not fully explain the burden of microvascular complications in type 2 diabetes (T2D). One potential factor is the impact of pulmonary dysfunction on systemic microvascular injury. We assessed the associations between spirometric impairments and systemic microvascular complications in T2D., Design: Cross-sectional study., Setting: National Diabetes Management and Research Centre in Ghana., Participants: The study included 464 Ghanaians aged ≥35 years with established diagnosis of T2D without primary myocardial disease or previous/current heart failure. Participants were excluded if they had primary lung disease including asthma or chronic obstructive pulmonary disease., Primary and Secondary Outcome Measures: The associations of spirometric measures (forced expiratory volume in 1 s (FEV 1 ), forced vital capacity (FVC) and FEV 1 /FVC ratio) with microvascular complications (nephropathy (albumin-creatinine ratio ≥3 mg/g), neuropathy (vibration perception threshold ≥25 V and/or Diabetic Neuropathy Symptom score >1) and retinopathy (based on retinal photography)) were assessed using multivariable logistic regression models with adjustments for age, sex, diabetes duration, glycated haemoglobin concentration, suboptimal blood pressure control, smoking pack years and body mass index., Results: In age and sex-adjusted models, lower Z-score FEV 1 was associated with higher odds of nephropathy (OR 1.55, 95% CI 1.19-2.02, p=0.001) and neuropathy (1.27 (1.01-1.65), 0.038) but not retinopathy (1.22 (0.87-1.70), 0.246). Similar observations were made for the associations of lower Z-score FVC with nephropathy (1.54 (1.19-2.01), 0.001), neuropathy (1.25 (1.01-1.54), 0.037) and retinopathy (1.19 (0.85-1.68), 0.318). In the fully adjusted model, the associations remained significant for only lower Z-score FEV 1 with nephropathy (1.43 (1.09-1.87), 0.011) and neuropathy (1.34 (1.04-1.73), 0.024) and for lower Z-score FVC with nephropathy (1.45 (1.11-1.91), 0.007) and neuropathy (1.32 (1.03-1.69), 0.029). Lower Z-score FEV 1 /FVC ratio was not significantly associated with microvascular complications in age and sex and fully adjusted models., Conclusion: Our study shows positive but varying strengths of associations between pulmonary dysfunction and microvascular complications in different circulations. Future studies could explore the mechanisms linking pulmonary dysfunction to microvascular complications in T2D., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Rationale: Patients with severe asthma are dependent upon treatment with high doses of inhaled corticosteroids (ICS) and often also oral corticosteroids (OCS). The extent of endogenous androgenic anabolic steroid (EAAS) suppression in asthma has not previously been described in detail. The objective of the present study was to measure urinary concentrations of EAAS in relation to exogenous corticosteroid exposure., Methods: Urine collected at baseline in the U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Disease outcomes) study of severe adult asthmatics (SA, n=408) was analysed by quantitative mass spectrometry. Data were compared to that of mild-to-moderate asthmatics (MMA, n=70) and healthy subjects (HC, n=98) from the same study., Measurements and Main Results: The concentrations of urinary endogenous steroid metabolites were substantially lower in SA than in MMA or HC. These differences were more pronounced in SA patients with detectable urinary OCS metabolites. Their dehydroepiandrosterone sulfate (DHEA-S) concentrations were <5% of those in HC, and cortisol concentrations were below the detection limit in 75% of females and 82% of males. The concentrations of EAAS in OCS-positive patients, as well as patients on high-dose ICS only, were more suppressed in females than males (p<0.05). Low levels of DHEA were associated with features of more severe disease and were more prevalent in females (p<0.05). The association between low EAAS and corticosteroid treatment was replicated in 289 of the SA patients at follow-up after 12-18 months., Conclusion: The pronounced suppression of endogenous anabolic androgens in females might contribute to sex differences regarding the prevalence of severe asthma., Competing Interests: Conflict of interest: V. Yasinska reports participation in advisory boards for AZ and GSK, and lecture honoraria from Sanofi and GSK. Conflict of interest: C. Gómez has nothing to disclose. Conflict of interest: J. Kolmert has nothing to disclose. Conflict of interest: M. Ericsson has nothing to disclose. Conflict of interest: A. Pohanka has nothing to disclose. Conflict of interest: A. James reports personal grant from Swedish Heart-Lung Foundation. Conflict of interest: L.I. Andersson has nothing to disclose. Conflict of interest: M. Sparreman-Mikus has nothing to disclose. Conflict of interest: A.R. Sousa reports employment and stocks or stock options from GSK. Conflict of interest: J.H. Riley has nothing to disclose. Conflict of interest: S. Bates has nothing to disclose. Conflict of interest: P.S. Bakke reports lecture honoraria from AstraZeneca and Boehringer Ingelheim. Conflict of interest: N. Zounemat Kermani has nothing to disclose. Conflict of interest: M. Caruso has nothing to disclose. Conflict of interest: P. Chanez reports participation in advisory boards, honoraria for consultancy, lectures fees and support for attending and/or travel from ALK, Almirall, AZ, Chiesi, GSK, Menarini, Novartis and Sanofi. Conflict of interest: S.J. Fowler has nothing to disclose. Conflict of interest: T. Geiser has nothing to disclose. Conflict of interest: P.H. Howarth reports employment and stocks or stock options from GSK. Conflict of interest: I. Horváth reports participation on an advisory board for AZ and Chiesi, honoraria for lectures from Chiesi and Roche, and support for attending and/or travel from Roche. Conflict of interest: N. Krug has nothing to disclose. Conflict of interest: P. Montuschi has nothing to disclose. Conflict of interest: M. Sanak has nothing to disclose. Conflict of interest: A. Behndig has nothing to disclose. Conflict of interest: D.E. Shaw has nothing to disclose. Conflict of interest: R.G. Knowles has nothing to disclose. Conflict of interest: B. Dahlén reports grant from GSK and Novartis. Conflict of interest: A-H. Maitland-van der Zee reports grants from BI, Vertex Innovation Award, Dutch Lung Foundation, Stichting Astma Bestrijding, IMI/3TR, EU grant ONELAB and EUROSTARS grant with Respiq, consulting fees from AZ and BI, and lecture honoraria from GSK. Conflict of interest: P.J. Sterk reports a grant from the Innovative Medicines Initiative. Conflict of interest: R. Djukanovic reports consulting fees from Synairgen, lecture honoraria from Regeneron, GSK and Kymab, and an advisory board for Synairgen. Conflict of interest: I.M. Adcock reports grant from EU-IMI, grants from GSK, MRK, EPSRC and Sanofi, consulting fees from GSK, Sanofi, Chiesi and Kinaset, lecture honoraria from AZ, Sanofi and Eurodrug, and payment for an educational event from Sunovion. Conflict of interest: K.F. Chung reports lectures honoraria from Novartis, AZ and Merck, advisory boards for GSK, AZ, Novartis, Roche, Merck, Rickett-Beckinson, Nocion and Shionogi, the Scientific Advisory Board of the Clean Breathing Institute supported by Haleon, grants from GSK, MRC and EPSRC, and support for travel from AZ. Conflict of interest: C.E. Wheelock has nothing to disclose. Conflict of interest: S-E. Dahlén reports research grants, consulting fees or lecture honoraria from AZ, Cayman Chemicals, GSK, Regeneron, Sanofi and Teva. Conflict of interest: E. Wikström Jonsson reports a research grant and expert assignment by Region Stockholm, and an expert appointment by the Swedish Medical Product Agency., (Copyright ©The authors 2023.)

Background: Bronchiectasis is a common comorbidity in patients with asthma and is associated with increased disease severity. In patients with severe eosinophilic asthma, biologics targeting IL-5/5Ra have beneficial effects on oral corticosteroid (OCS) use and exacerbation frequency. However, how coexisting bronchiectasis affects the response to such treatments is unknown., Objective: To evaluate the real-world effectiveness of anti-IL-5/5Ra therapy in patients with severe eosinophilic asthma and comorbid bronchiectasis on exacerbation frequency and daily maintenance and cumulative OCS dose., Methods: This real-world study evaluated data from 97 adults with severe eosinophilic asthma and computed tomography-confirmed bronchiectasis from the Dutch Severe Asthma Registry, who initiated anti-IL5/5Ra biologics (mepolizumab, reslizumab, and benralizumab) and had follow-up data for 12 months or greater. The analysis was performed for the total population and subgroups with or without maintenance OCS use., Results: Anti-IL-5/5Ra therapy significantly reduced exacerbation frequency in patients with maintenance OCS use as well as in those without it. In the year before biologic initiation, 74.5% of all patients had two or more exacerbations, which decreased to 22.1% in the follow-up year (P < .001). The proportion of patients on maintenance OCS decreased from 47% to 30% (P < .001), and in the OCS-dependent patients (n = 45) maintenance OCS dose decreased from median (interquartile range) of 10.0 mg/d (5-15 mg/d) to 2.5 mg/d (0-5 mg/d) after 1 year (P < .001)., Conclusions: This real-world study shows that anti-IL-5/5Ra therapy reduces exacerbation frequency and daily maintenance as well as the cumulative OCS dose in patients with severe eosinophilic asthma and comorbid bronchiectasis. Although it is an exclusion criterion in phase 3 trials, comorbid bronchiectasis should not preclude anti-IL-5/5Ra therapy in patients with severe eosinophilic asthma., (Copyright © 2023 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.)

Background: Asthma and COPD are among the most common respiratory diseases. To improve the early detection of exacerbations and the clinical course of asthma and COPD new biomarkers are needed. The development of noninvasive metabolomics of exhaled air into a point-of-care tool is an appealing option. However, risk factors for obstructive pulmonary diseases can potentially introduce confounding markers due to altered volatile organic compound (VOC) patterns being linked to these risk factors instead of the disease. We conducted a systematic review and presented a comprehensive list of VOCs associated with these risk factors., Methods: A PRISMA-oriented systematic search was conducted across PubMed, Embase and Cochrane Libraries between 2000 and 2022. Full-length studies evaluating VOCs in exhaled breath were included. A narrative synthesis of the data was conducted, and the Newcastle-Ottawa Scale was used to assess the quality of included studies., Results: The search yielded 2209 records and, based on the inclusion/exclusion criteria, 24 articles were included in the qualitative synthesis. In total, 232 individual VOCs associated with risk factors for obstructive pulmonary diseases were found; 58 compounds were reported more than once and 12 were reported as potential markers of asthma and/or COPD in other studies. Critical appraisal found that the identified studies were methodologically heterogeneous and had a variable risk of bias., Conclusion: We identified a series of exhaled VOCs associated with risk factors for asthma and/or COPD. Identification of these VOCs is necessary for the further development of exhaled metabolites-based point-of-care tests in these obstructive pulmonary diseases., Competing Interests: Conflict of interest: S. Shahbazi Khamas and A.H. Alizadeh Bahmani have nothing to disclose. S.J.H. Vijverberg has received research funding from the Dutch Lung Foundation, she is the chair of Young Investigators of Netherlands Respiratory Society (unpaid) and she is early career member representative of the Pediatrics Assembly of the European Respiratory Society (unpaid). P. Brinkman has received funding from Amsterdam UMC, Vertex, Stichting Astma Bestrijding, Boehringer Ingelheim, Eurostars and the Horizon Europe Framework Program. A.H. Maitland-van der Zee received unrestricted research grants from Vertex and Boehringer Ingelheim, received funding from the Dutch Lung Foundation and Stichting Astma Bestrijding, and an Innovative Medicine Initiative 3TR research grant; received consulting fees (paid to institution) from AstraZeneca and Boehringer Ingelheim, and received honoraria (paid to institution) for lectures by GSK. She is also the principal investigator of the P4O2 (Precision Medicine for more Oxygen) public–private partnership sponsored by Health Holland involving many private partners who contribute in cash and/or in kind. Partners in the P4O2 consortium are the Amsterdam UMC, Leiden University Medical Center, Maastricht UMC+, Maastricht University, UMC Groningen, UMC Utrecht, Utrecht University, TNO, Aparito, Boehringer Ingelheim, Breathomix, Clear, Danone Nutricia Research, Fluidda, MonitAir, Ncardia, Ortec Logiqcare, Philips, Proefdiervrij, Quantib-U, RespiQ, Roche, Smartfish, SODAQ, Thirona, TopMD, Lung Alliance Netherlands and the Lung Foundation Netherlands (Longfonds). The consortium is additionally funded by the PPP Allowance made available by Health∼Holland, Top Sector Life Sciences and Health (LSHM20104 and LSHM20068), to stimulate public–private partnerships and by Novartis), and she is the president of the Federation of Innovative Drug Research in the Netherlands (FIGON) (unpaid) and president of the European Association of Systems Medicine (EASYM)., (Copyright ©The authors 2023.)

Rationale: Children with preschool wheezing or school-age asthma are reported to have airway microbial imbalances. Objectives: To identify clusters in children with asthma or wheezing using oropharyngeal microbiota profiles. Methods: Oropharyngeal swabs from the U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes) pediatric asthma or wheezing cohort were characterized using 16S ribosomal RNA gene sequencing, and unsupervised hierarchical clustering was performed on the Bray-Curtis β-diversity. Enrichment scores of the Molecular Signatures Database hallmark gene sets were computed from the blood transcriptome using gene set variation analysis. Children with severe asthma or severe wheezing were followed up for 12-18 months, with assessment of the frequency of exacerbations. Measurements and Main Results: Oropharyngeal samples from 241 children (age range, 1-17 years; 40% female) revealed four taxa-driven clusters dominated by Streptococcus , Veillonella , Rothia , and Haemophilus . The clusters showed significant differences in atopic dermatitis, grass pollen sensitization, FEV 1 % predicted after salbutamol, and annual asthma exacerbation frequency during follow-up. The Veillonella cluster was the most allergic and included the highest percentage of children with two or more exacerbations per year during follow-up. The oropharyngeal clusters were different in the enrichment scores of TGF-β (transforming growth factor-β) (highest in the Veillonella cluster) and Wnt/β-catenin signaling (highest in the Haemophilus cluster) transcriptomic pathways in blood (all q values <0.05). Conclusions: Analysis of the oropharyngeal microbiota of children with asthma or wheezing identified four clusters with distinct clinical characteristics (phenotypes) that associate with risk for exacerbation and transcriptomic pathways involved in airway remodeling. This suggests that further exploration of the oropharyngeal microbiota may lead to novel pathophysiologic insights and potentially new treatment approaches.

Introduction : The coronavirus disease 2019 (COVID-19) pandemic has led to the death of almost 7 million people, however, with a cumulative incidence of 0.76 billion, most people survive COVID-19. Several studies indicate that the acute phase of COVID-19 may be followed by persistent symptoms including fatigue, dyspnea, headache, musculoskeletal symptoms, and pulmonary functional-and radiological abnormalities. However, the impact of COVID-19 on long-term health outcomes remains to be elucidated. Aims : The Precision Medicine for more Oxygen (P4O2) consortium COVID-19 extension aims to identify long COVID patients that are at risk for developing chronic lung disease and furthermore, to identify treatable traits and innovative personalized therapeutic strategies for prevention and treatment. This study aims to describe the study design and first results of the P4O2 COVID-19 cohort. Methods : The P4O2 COVID-19 study is a prospective multicenter cohort study that includes nested personalized counseling intervention trial. Patients, aged 40-65 years, were recruited from outpatient post-COVID clinics from five hospitals in The Netherlands. During study visits at 3-6 and 12-18 months post-COVID-19, data from medical records, pulmonary function tests, chest computed tomography scans and biological samples were collected and questionnaires were administered. Furthermore, exposome data was collected at the patient's home and state-of-the-art imaging techniques as well as multi-omics analyses will be performed on collected data. Results : 95 long COVID patients were enrolled between May 2021 and September 2022. The current study showed persistence of clinical symptoms and signs of pulmonary function test/radiological abnormalities in post-COVID patients at 3-6 months post-COVID. The most commonly reported symptoms included respiratory symptoms (78.9%), neurological symptoms (68.4%) and fatigue (67.4%). Female sex and infection with the Delta, compared with the Beta, SARS-CoV-2 variant were significantly associated with more persisting symptom categories. Conclusions : The P4O2 COVID-19 study contributes to our understanding of the long-term health impacts of COVID-19. Furthermore, P4O2 COVID-19 can lead to the identification of different phenotypes of long COVID patients, for example those that are at risk for developing chronic lung disease. Understanding the mechanisms behind the different phenotypes and identifying these patients at an early stage can help to develop and optimize prevention and treatment strategies.

The association between neutrophil extracellular traps (NETs) and response to inhaled corticosteroids (ICS) in asthma is unclear. To better understand this relationship, we analyzed the blood transcriptomes from children with controlled and uncontrolled asthma in the Taiwanese Consortium of Childhood Asthma Study using weighted gene coexpression network analysis and pathway enrichment methods. We identified 298 uncontrolled asthma-specific differentially expressed genes and one gene module associated with neutrophil-mediated immunity, highlighting a potential role for neutrophils in uncontrolled asthma. We also found that NET abundance was associated with nonresponse to ICS in patients. In a neutrophilic airway inflammation murine model, steroid treatment could not suppress neutrophilic inflammation and airway hyperreactivity. However, NET disruption with deoxyribonuclease I (DNase I) efficiently inhibited airway hyperreactivity and inflammation. Using neutrophil-specific transcriptomic profiles, we found that CCL4L2 was associated with ICS nonresponse in asthma, which was validated in human and murine lung tissue. CCL4L2 expression was also negatively correlated with pulmonary function change after ICS treatment. In summary, steroids fail to suppress neutrophilic airway inflammation, highlighting the potential need to use alternative therapies such as leukotriene receptor antagonists or DNase I that target the neutrophil-associated phenotype. Furthermore, these results highlight CCL4L2 as a potential therapeutic target for individuals with asthma refractory to ICS.

Pharmacological management of airway obstructive diseases is a fast-evolving field. Several advances in unravelling disease mechanisms as well as intracellular and molecular pathways of drug action have been accomplished. While the clinical translation and implementation of in vitro results to the bedside remains challenging, advances in comprehending the mechanisms of respiratory medication are expected to assist clinicians and scientists in identifying meaningful read-outs and designing clinical studies. This European Respiratory Society Research Seminar, held in Naples, Italy, 5-6 May 2022, focused on current and future developments of the drugs used to treat asthma and COPD; on mechanisms of drug action, steroid resistance, comorbidities and drug interactions; on prognostic and therapeutic biomarkers; on developing novel drug targets based on tissue remodelling and regeneration; and on pharmacogenomics and emerging biosimilars. Related European Medicines Agency regulations are also discussed, as well as the seminar's position on the above aspects., Competing Interests: Conflict of interest: The following authors declared that they have no significant relationships with manufacturer(s) of any commercial product(s) or provider(s) of any commercial service(s) discussed during their presentation in Naples and/or with the manuscript: L. Fregonese, A.G. Mathioudakis, E. Papakonstantinou and M. Rukhadze. The following authors have declared that they have real or perceived conflicts of interest with manufacturer(s) of any commercial product(s) or provider(s) of any commercial service(s) discussed during their presentation in Naples and/or in the manuscript. Company/institution names appear as provided by the authors in their ICMJE disclosure form. M. van den Berge: his institution has received grants or contracts from GlaxoSmithKline, Roche, Novartis, AstraZeneca and Sanofi. M. Cazzola: has personally received a) consulting fees from ABC Farmaceutici, Lallemand and Recipharm; b) payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing or educational events from GSK, AstraZeneca, Glenmark, Cipla, Sanofi, Chiesi Farmaceutici, Abdi Ibrahim, Mankind Pharma, Mundipharma, Malesci and Guidotti; c) payment for expert testimony from Chiesi Farmaceutici; d) support for attending meetings and/or travel from the European Respiratory Society; and e) a leadership or fiduciary role in other board, society, committee or advocacy group, paid or unpaid at Elsevier (Deputy Editor of Respiratory Medicine). R. Gosens: his institution has received grants or contracts from Boehringer Ingelheim, Aquilo and Sanofi-Genzyme. N. Hanania: has personally received a) consulting fees as Advisory Committee Member and/or consultant from AstraZeneca, Genentech, GSK, Mylan, Sanofi, Regeneron, Amgen, and Teva (2020–2021); and b) grant/research support from Boehringer Ingelheim, GSK, Novartis, Sanofi Genzyme, Genentech, Mylan (2020–2021). A-H. Maitland-van der Zee: her institution received a) grants or contracts from Health Holland, Amsterdam UMC, Leiden University Medical Center, Maastricht UMC+, Maastricht University, UMC Groningen, UMC Utrecht, Utrecht University, TNO, Aparito, Boehringer Ingelheim, Breathomix, Clear, Danone Nutricia Research, Fluidda, MonitAir, Ncardia, Ortec Logiqcare, Philips, Proefdiervrij, Quantib-U, RespiQ, Roche, Smartfish, SODAQ, Thirona, TopMD, Lung Alliance Netherlands, Lung Foundation Netherlands, Novartis, Vertex, Dutch Lung Foundation grant and Stichting Astma Bestrijding grant; b) consulting fees from AstraZeneca and Boehringer Ingelheim; c) participation on a Data Safety Monitoring Board or Advisory Board as Chair of DSMB SOS BPD study and Advisory board member CHAMP study; and d) leadership or fiduciary role in other board, society, committee or advocacy group, paid or unpaid as President Federation of Innovative Drug Research in the Netherlands and President European Association of systems medicine. P. Rogliani: has personally received consulting fees from Almirall, AstraZeneca, Biofutura, Boehringer Ingelheim, Chiesi Farmaceutici, GlaxoSmithKline, Menarini Group, Mundipharma, and Novartis. M.G. Matera: has personally received a) consulting fees from ABC Farmaceutici, GSK and Chiesi Farmaceutici; and b) payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing or educational events from GSK, AstraZeneca and Chiesi Farmaceutici. C.P. Page: has personally received a) grants or contracts from The Defence Science and Technology Laboratory, Goodbody Health, Medical Research Council and Epiendo; b) consulting fees from Epiendo, Recipharm, Glycosinnovation and Eurodrug; c) payment or honoraria from Epiendo, Recipharm, Glycosinnovation and Eurodrug; d) payment for expert testimony from Teva; e) support for attending meetings and/or travel from ERS; f) participation on a Data Safety Monitoring Board or Advisory Board for ACCORD; g) leadership or fiduciary role in other board, society, committee or advocacy group, paid or unpaid as President of the British Pharmacological Society, Trustee of the Fraunhofer Institute of Experimental Medicine and Toxicology, Hanover and UAR Council, non executive director Epiendo and Prep Pharma; and h) stock or stock options in Verona Pharma. D. Singh: has personally received consulting fees from Aerogen, AstraZeneca, Boehringer Ingelheim, Chiesi, Cipla, CSL Behring, Epiendo, Genentech, GlaxoSmithKline, Glenmark, Gossamerbio, Kinaset, Menarini, Novartis, Pulmatrix, Sanofi, Synairgen, Teva, Theravance and Verona. D. Stolz: her institution received a) grants or contracts from Swiss National Foundation, Curetis AG, AstraZeneca and Boston Scientifics; and she has personally received b) payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing or educational events from CSL Behring, Berlin-Chemie Menarini, Novartis, GlaxoSmithKline, AstraZeneca, Curetis AG, Vifor, Merck, Chiesi, Sanofi, MSD and Boehringer Ingelheim; c) participation on a Data Safety Monitoring Board or Advisory Board for GKS and CSL Behring; and d) leadership or fiduciary role in other board, society, committee or advocacy group, paid or unpaid as GOLD representative for Switzerland, Education Council Chair of the European Respiratory Society and President of the Education Committee of the Swiss Respiratory Society. J. Vestbo: has personally received a) consulting fees from ALK Abello, AstraZeneca, Boehringer-Ingelheim, Chiesi, GSK, Novartis and TEVA; and b) payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing or educational events from AstraZeneca, Boehringer-Ingelheim, Chiesi and GSK., (Copyright ©ERS 2023.)

Background: COPD and adult-onset asthma (AOA) are the most common noncommunicable respiratory diseases. To improve early identification and prevention, an overview of risk factors is needed. We therefore aimed to systematically summarise the nongenetic (exposome) risk factors for AOA and COPD. Additionally, we aimed to compare the risk factors for COPD and AOA., Methods: In this umbrella review, we searched PubMed for articles from inception until 1 February 2023 and screened the references of relevant articles. We included systematic reviews and meta-analyses of observational epidemiological studies in humans that assessed a minimum of one lifestyle or environmental risk factor for AOA or COPD., Results: In total, 75 reviews were included, of which 45 focused on risk factors for COPD, 28 on AOA and two examined both. For asthma, 43 different risk factors were identified while 45 were identified for COPD. For AOA, smoking, a high body mass index (BMI), wood dust exposure and residential chemical exposures, such as formaldehyde exposure or exposure to volatile organic compounds, were amongst the risk factors found. For COPD, smoking, ambient air pollution including nitrogen dioxide, a low BMI, indoor biomass burning, childhood asthma, occupational dust exposure and diet were amongst the risk factors found., Conclusions: Many different factors for COPD and asthma have been found, highlighting the differences and similarities. The results of this systematic review can be used to target and identify people at high risk for COPD or AOA., Competing Interests: Provenance: Submitted article, peer reviewed. Conflict of interest: A.H. Maitland-Van der Zee is the PI of P4O2 (Precision Medicine for more Oxygen) public–private partnership sponsored by Health Holland involving many private partners who contribute in cash and/or in kind. Partners in the Precision Medicine for more Oxygen (P4O2) consortium are the Amsterdam UMC, Leiden University Medical Center, Maastricht UMC+, Maastricht University, UMC Groningen, UMC Utrecht, Utrecht University, TNO, Aparito, Boehringer Ingelheim, Breathomix, Clear, Danone Nutricia Research, Fluidda, MonitAir, Ncardia, Ortec Logiqcare, Philips, Proefdiervrij, Quantib-U, RespiQ, Roche, Smartfish, SODAQ, Thirona, TopMD, Lung Alliance Netherlands (LAN) and the Lung Foundation Netherlands (Longfonds). The consortium is additionally funded by the PPP Allowance made available by Health Holland, Top Sector Life Sciences & Health (LSHM20104; LSHM20068), to stimulate public-private partnerships and by Novartis. A.H. Maitland-Van der Zee has received grants from Boehringer Ingelheim, Vertex Innovation Award, Dutch Lung Foundation, Stichting Asthma Bestrijding, and Innovative Medicine Initiative (IMI). A.H. Maitland-Van der Zee has received consulting fees from AstraZeneca and Boehringer Ingelheim. A.H. Maitland-Van der Zee has received GSK honarium for a lecture. A.H. Maitland-Van der Zee is the chair of DSMB SOS BPD study and advisory board member of the CHAMP study. A.H. Maitland-Van der Zee is the president of the federation of innovative drug research in the Netherlands (FIGON) and president of the European Association of systems medicine (EASYM). The remaining authors have no conflicts to declare., (Copyright ©The authors 2023.)

Background: The use of anti-interleukin-5 (IL5) for severe asthma is based on criteria from randomised controlled trials (RCTs), but in real-life patients might not fulfil the eligibility criteria but may benefit from biologics. We aimed to characterise patients starting anti-IL5(R) in Europe and evaluate the discrepancies between initiation of anti-IL5(R) in real life and in RCTs., Materials and Methods: We performed a cross-sectional analysis with data from the severe asthma patients at the start of anti-IL5(R) in the Severe Heterogeneous Asthma Research collaboration Patient-centred (SHARP Central) registry. We compared the baseline characteristics of the patients starting anti-IL5(R) from 11 European countries within SHARP with the baseline characteristics of the severe asthma patients from 10 RCTs (four for mepolizumab, three for benralizumab and three for reslizumab). Patients were evaluated following eligibility criteria from the RCTs of anti-IL5 therapies., Results: Patients starting anti-IL5(R) in Europe (n=1231) differed in terms of smoking history, clinical characteristics and medication use. The characteristics of severe asthma patients in the SHARP registry differed from the characteristics of patients in RCTs. Only 327 (26.56%) patients fulfilled eligibility criteria of all the RCTs; 24 patients were eligible for mepolizumab, 100 for benralizumab and 52 reslizumab. The main characteristics of ineligibility were: ≥10 pack-years, respiratory diseases other than asthma, Asthma Control Questionnaire score ≤1.5 and low-dose inhaled corticosteroids., Conclusion: A large proportion of patients in the SHARP registry would not have been eligible for anti-IL5(R) treatment in RCTs, demonstrating the importance of real-life cohorts in describing the efficacy of biologics in a broader population of patients with severe asthma., Competing Interests: Conflict of interest: S. Principe is an employee of the University of Palermo with co-EU research funds EU-REACT FESR o FSE, PON Ricerca e Innovazione 2014–2020 - DM 1062/2021. Conflict of interest: A. Ten Brinke reports grants from AstraZeneca, GSK and TEVA, fees for advisory boards and lectures from AstraZeneca, GSK, Novartis, TEVA and Sanofi Genzyme. Conflict of interest: I. Grisle declares honoraria for lectures from AZ, Novartis, GSK, Berlin Chemie, Boehringer Ingelheim and Norameda. Conflict of interest: P. Kuna declares honoraria for lectures/presentations from AstraZeneca, GSK, Boehringer Ingelheim, Berlin Chemie, Menarini, FAES, Adamed, Polpharma, Glenmark, Novartis and Teva, and support for attending meetings from AstraZeneca, Berlin Chemie and Menarini. Conflict of interest: S. Popović-Grle declares consulting fees from AZ, GSK, Novartis, Pliva Teva, Sanofi and ALK, and honoraria for lectures from AZ, GSK, Novartis, Pliva TEVA, Sanofi and ALK. Conflict of interest: S. Škgrat declares, in the past 36 months, honoraria for lectures and educational events from AstraZeneca (AZ), Pliva Teva, Berlin Chemie, Chiesi and Medis, and participation on advisory boards for AZ and Berlin Chemie. Conflict of interest: C. Porsbjerg declares, in the past 36 months, grants from AZ, GSK, Novartis, TEVA, Sanofi, Chiesi and ALK, consulting fees from AZ, GSK, Novartis, TEVA, Sanofi, Chiesi and ALK, honoraria for lectures from AZ, GSK, Novartis, TEVA, Sanofi, Chiesi and ALK, participation for advisory boards AZ, GSK, Novartis, TEVA, Sanofi, Chiesi and ALK. Conflict of interest: All the other authors declare that they have no conflicts of interest., (Copyright ©The authors 2023.)

Introduction: In the randomized double-blind placebo-controlled CounterCOVID study, oral imatinib treatment conferred a positive clinical outcome and a signal for reduced mortality in COVID-19 patients. High concentrations of alpha-1 acid glycoprotein (AAG) were observed in these patients and were associated with increased total imatinib concentrations., Aims: This post-hoc study aimed to compare the difference in exposure following oral imatinib administration in COVID-19 patients to cancer patients and assess assocations between pharmacokinetic (PK) parameters and pharmacodynamic (PD) outcomes of imatinib in COVID-19 patients. We hypothesize that a relatively higher drug exposure of imatinib in severe COVID-19 patients leads to improved pharmacodynamic outcome parameters., Methods: 648 total concentration plasma samples obtained from 168 COVID-19 patients were compared to 475 samples of 105 cancer patients, using an AAG-binding model. Total trough concentration at steady state (Ct trough ) and total average area under the concentration-time curve (AUCt ave ) were associated with ratio between partial oxygen pressure and fraction of inspired oxygen (P/F), WHO ordinal scale (WHO-score) and liberation of oxygen supplementation (O 2 lib). Linear regression, linear mixed effects models and time-to-event analysis were adjusted for possible confounders., Results: AUCt ave and Ct trough were respectively 2.21-fold (95%CI 2.07-2.37) and 1.53-fold (95%CI 1.44-1.63) lower for cancer compared to COVID-19 patients. Ct trough , not AUCt ave , associated significantly with P/F (β=-19,64; p-value=0.014) and O 2 lib (HR 0.78; p-value= 0.032), after adjusting for sex, age, neutrophil-lymphocyte ratio, dexamethasone concomitant treatment, AAG and baseline P/F-and WHO-score. Ct trough , but not AUCt ave associated significantly with WHO-score. These results suggest an inverse relationship between PK-parameters, Ct trough and AUCt ave , and PD outcomes., Conclusion: COVID-19 patients exhibit higher total imatinib exposure compared to cancer patients, attributed to differences in plasma protein concentrations. Higher imatinib exposure in COVID-19 patients did not associate with improved clinical outcomes. Ct trough and AUCt ave inversely associated with some PD-outcomes, which may be biased by disease course, variability in metabolic rate and protein binding. Therefore, additional PKPD analyses into unbound imatinib and its main metabolite may better explain exposure-response., Competing Interests: Declaration of Competing Interest J.A. is an inventor on a patent (WO2012150857A1, 2011) covering protection against endothelial barrier dysfunction through inhibition of the tyrosine kinase abl-related gene (arg). J.A. served as a non-compensated scientific advisor for Exvastat Ltd. S.S. is an employee of Exvastat Ltd. and has no other conflicts of interests. All other authors declare no competing interests., (Copyright © 2023. Published by Elsevier B.V.)

Volatile organic compounds (VOCs) found in exhaled breath continue to garner interest as an alternative diagnostic tool in pulmonary infections yet, their clinical integration remains a challenge with difficulties in translating identified biomarkers. Alterations in bacterial metabolism secondary to host nutritional availability may explain this but is often inadequately modelled in vitro . The influence of more clinically relevant nutrients on VOC production for two common respiratory pathogens was investigated. VOCs from Staphylococcus aureus ( S.aureus ) and Pseudomonas aeruginosa ( P.aeruginosa ) cultured with and without human alveolar A549 epithelial cells were analyzed using headspace extraction coupled with gas chromatography-mass spectrometry. Untargeted and targeted analyses were performed, volatile molecules identified from published data, and the differences in VOC production evaluated. Principal component analysis (PCA) could differentiate alveolar cells from either S. aureus or P. aeruginosa when cultured in isolation based on PC1 ( p = 0.0017 and 0.0498, respectively). However, this separation was lost for S. aureus ( p = 0.31) but not for P. aeruginosa ( p = 0.028) when they were cultured with alveolar cells . S. aureus cultured with alveolar cells led to higher concentrations of two candidate biomarkers, 3-methyl-1-butanol ( p = 0.001) and 3-methylbutanal ( p = 0.002) when compared to S. aureus, alone. P. aeruginosa metabolism resulted in less generation of pathogen-associated VOCs when co-cultured with alveolar cells compared to culturing in isolation. VOC biomarkers previously considered indicative of bacterial presence are influenced by the local nutritional environment and this should be considered when evaluating their biochemical origin., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Fenn, Ahmed, Lilien, Kos, Tuip de Boer, Fowler, Schultz, Maitland-van der Zee, Brinkman and Bos.)

Background: Effectiveness studies with biological therapies for asthma lack standardised outcome measures. The COMSA (Core Outcome Measures sets for paediatric and adult Severe Asthma) Working Group sought to develop Core Outcome Measures (COM) sets to facilitate better synthesis of data and appraisal of biologics in paediatric and adult asthma clinical studies., Methods: COMSA utilised a multi-stakeholder consensus process among patients with severe asthma, adult and paediatric clinicians, pharmaceutical representatives, and health regulators from across Europe. Evidence included a systematic review of development, validity and reliability of selected outcome measures plus a narrative review and a pan-European survey to better understand patients' and carers' views about outcome measures. It was discussed using a modified GRADE (Grading of Recommendations Assessment, Development and Evaluation) Evidence to Decision framework. Anonymous voting was conducted using predefined consensus criteria., Results: Both adult and paediatric COM sets include forced expiratory volume in 1 s (FEV 1 ) as z-scores, annual frequency of severe exacerbations and maintenance oral corticosteroid use. Additionally, the paediatric COM set includes the Paediatric Asthma Quality of Life Questionnaire and Asthma Control Test or Childhood Asthma Control Test, while the adult COM set includes the Severe Asthma Questionnaire and Asthma Control Questionnaire-6 (symptoms and rescue medication use reported separately)., Conclusions: This patient-centred collaboration has produced two COM sets for paediatric and adult severe asthma. It is expected that they will inform the methodology of future clinical trials, enhance comparability of efficacy and effectiveness of biological therapies, and help assess their socioeconomic value. COMSA will inform definitions of non-response and response to biological therapy for severe asthma., Competing Interests: Conflict of interest: E. Khaleva and A. Rattu declare funding from 3TR European Union Innovative Medicines Initiative 2 to their institution for the present manuscript. C. Brightling declares grants from GlaxoSmithKline, AstraZeneca, Novartis, Chiesi, Boehringer Ingelheim, Genentech, Roche, Sanofi, Mologic and 4DPharma; consulting fees from GlaxoSmithKline, AstraZeneca, Novartis, Chiesi, Boehringer Ingelheim, Genentech, Roche, Sanofi, Mologic, 4DPharma and Teva; and support from the 3TR project. G.W. Clarke declares that he is an employee of AstraZeneca; and that he holds stock or stock options in AstraZeneca. M. van den Berge declares grants from GlaxoSmithKline, AstraZeneca, Roche, Genentech and Novartis paid to the university. A. Bossios declares honoraria for lectures from GlaxoSmithKline, AstraZeneca, Teva and Novartis; support for attending meetings from AstraZeneca and Novartis; honoraria for advisory board meetings from GlaxoSmithKline, AstraZeneca, Teva, Novartis and Sanofi; being a member of the Steering Committee of SHARP, Secretary of Assembly 5 (Airway Diseases, Asthma, COPD and Chronic Cough) of the European Respiratory Society; Vice-chair of the Nordic Severe Asthma Network (NSAN). V. Ramiconi and S. Romagosa Vilarnau declare unrestricted educational grants paid to the organisation from Novartis, Pfizer, AstraZeneca, Chiesi Farmaceutici, GlaxoSmithKline, AbbVie, LeoPharma, Boehringer Ingelheim, Sanofi, Regeneron, OM Pharma, MSD, Roche and DBV Technologies; support for attending meetings from Novartis. S-E. Dahlén declares a 3TR Innovative Medicines Initiative grant; consulting fees for AstraZeneca, Cayman Co., GlaxoSmithKline, Novartis, Regeneron, Sanofi and Teva; payment for lectures from AstraZeneca and Sanofi. S. Principe declares support for provision of study materials and medical writing. G. Hedlin declares participation in advisory boards of AstraZeneca and Sanofi. F. Singer reports grants from Lung League Bern, grants from the Swiss Cystic Fibrosis Society (CFCH), personal fees from Vertex Pharmaceuticals, personal fees from Novartis, outside the submitted work. A. Deschildre reports personal consulting fees from Sanofi-Regeneron, ALK, Novartis and GlaxoSmithKline; honoraria for lectures from ALK, Boehringer Ingelheim and Novartis; support for attending meetings from AstraZeneca, Stallergènes-Greer, MEDA, Nutricia, Sanofi and Novartis, outside the submitted work; and being on the scientific committee of SFA (Société Française d'Allergologie). L.J. Fleming declares participation in advisory boards and honoraria for lectures from Sanofi, Respiri UK, AstraZeneca, Novartis and Teva, outside of the scope of this publication; all payments were made to her institution. H. Staudinger reports that he is a salaried employee of Sanofi Genzyme and owns company stock of Sanofi and Merck & Co. K.C. Pike declares consultancy fees from Novartis, Adherium and Respiri, and honoraria for a lecture from Novartis. J. Grigg declares payments from GlaxoSmithKline, OM Pharma, Omron and Novartis (advisory boards), Sanofi (for lectures) and AstraZeneca (CI clinical trial). N. Rutjes reports personal fees for advisory board work from Sanofi. G.H. Koppelman reports receiving research grants from the Lung Foundation of the Netherlands, Ubbo Emmius Foundation, H2020 European Union, Teva, GlaxoSmithKline and Vertex, outside this work (money to institution); he reports memberships of advisory boards to GlaxoSmithKline and PURE-IMS, outside this work (money to institution). D. Cunoosamy holds shares in AstraZeneca and Sanofi. A.H. Maitland-van der Zee has received research grants outside the submitted work from GlaxoSmithKline, Boehringer Ingelheim and Vertex, she is the PI of a P4O2 (Precision Medicine for more Oxygen) public private partnership sponsored by Health Holland involving many private partners that contribute in cash and/or in kind (Boehringer Ingelheim, Breathomix, Fluidda, Ortec Logiqcare, Philips, Quantib-U, Roche, Smartfish, SODAQ, Thirona, TopMD and Novartis), and she has served in advisory boards for AstraZeneca, GlaxoSmithKline and Boehringer Ingelheim with money paid to her institution. K.F. Chung has received honoraria for participating in advisory board meetings of GlaxoSmithKline, AstraZeneca, Roche, Novartis, Merck and Shionogi, regarding treatments for asthma, COPD and chronic cough, and has also been remunerated for speaking engagements for Novartis and AstraZeneca; received a MRC grant on Precision Medicine for severe asthma, EPSRC grant on air pollution and asthma, and a GlaxoSmithKline grant on mepolizumab and eosinophils in asthma. P. Nagakumar received speaker fees for talks on severe asthma from GlaxoSmithKline and Novartis. G. Brusselle declares payments from AstraZeneca, Novartis, Boehringer Ingelheim, Chiesi, Sanofi, GlaxoSmithKline and MSD, outside the submitted work. E. Hamelmann declares support from the German Ministry of Education and Research (BMBF) and German Asthma Net (GAN) eV; funding for research in severe asthma in children (CHAMP-01GL1742D) and for Severe Asthma Register. S. Vijverberg is PI of the PERMEABLE consortium. The PERMEABLE consortium is a research consortium focused on severe asthma and allergy and supported by ZonMW (456008004), the Swedish Research Council (2018-05619), the Ministry of Education, Science and Sport of the Republic of Slovenia (C3330-19-252012), and the German Ministry of Education and Research (BMBF) FKZ01KU1909A), under the frame of the ERA PerMed JTC 2018 Call. In addition, S. Vijverberg has received research funding for a project on severe paediatric asthma from the Lung Foundation Netherlands (6.2.18.244JO). A-M.M. Schoos has participated on an advisory board for ALK. B. Dahlén reports personal fees for lectures from AstraZeneca, Novartis and Sanofi; and grants from Novartis and GlaxoSmithKline, outside the submitted work; participation on an advisory board for AstraZeneca and Sanofi. A. Exley declares being a minority shareholder in GlaxoSmithKline Plc. E.A. Gaillard reports consultancy work for Boehringer Ingelheim with money paid to the institution (University of Leicester); investigator-led research grants from Circassia Group, Gilead Sciences, Chiesi Limited and Propeller Health; and has a research collaboration with Medimmune. M. Pijnenburg declares payments to her institution from Sanofi Genzyme (advisory work) and Novartis (speakers fee). E. Melén declares consulting fees from AstraZeneca, Chiesi, Novartis and Sanofi, outside the submitted work. R. Chaudhuri has received lecture fees from GlaxoSmithKline, AstraZeneca, Teva, Chiesi, Sanofi and Novartis; honoraria for advisory board meetings from GlaxoSmithKline, AstraZeneca, Teva, Chiesi and Novartis; sponsorship to attend international scientific meetings from Chiesi, Napp, Sanofi and GlaxoSmithKline, and a research grant to her institute from AstraZeneca for a UK multi-centre study. C. Pilette declares grants, consulting fees and honoraria for lectures (paid to institution) from AstraZeneca, Chiesi, GlaxoSmithKline, Novartis, Mundipharma, Teva, Sanofi and ALK. C. Porsbjerg declares grants (paid to institution), consulting fees (paid to institution and personal honoraria) and honoraria for lectures (paid to institution and personal honoraria) from AstraZeneca, GlaxoSmithKline, Novartis, Teva, Sanofi, Chiesi and ALK; participation on an advisory board (paid to institution and personal honoraria) for AstraZeneca, Novartis, Teva, Sanofi and ALK. C. Coleman and C. Williams declare funding received to support this work by the European Lung Foundation (ELF) from the European Commission's Innovative Medicines Initiative 2 Joint Undertaking under grant agreement number 831434 (3TR), and are employees of the ELF. B. Ahrens, S. Kaul, D. Hartenstein and V. Mahler declare no conflict of interest for this article and state that the views expressed in this review are the personal views of the author and may not be understood or quoted as being made on behalf of or reflecting the position of the respective national competent authorities, the European Medicines Agency or one of its committees or working parties. L.G. Heaney declares support from the 3TR; grants from industrial pharma partners Amgen, AstraZeneca, Medimmune, Janssen, Novartis, Roche/Genentech, GlaxoSmithKline and Boehringer Ingelheim; project grant funding from Medimmune, Novartis UK, Roche/Genentech and GlaxoSmithKline, outside the submitted work; payments for lectures by AstraZeneca, Novartis, Roche/Genentech, GlaxoSmithKline, Chiesi and Teva, outside the submitted work; travel funding support to international respiratory meetings by AstraZeneca, Chiesi, Novartis, Boehringer Ingelheim, Teva and GlaxoSmithKline, outside the submitted work; advisory boards for AstraZeneca, Novartis, GlaxoSmithKline, Chiesi, Teva, Theravance and Vectura, outside the submitted work. R. Djukanovic declares funding from the European Respiratory Society, Teva, GlaxoSmithKline, Novartis, Sanofi and Chiesi for the SHARP Clinical Research Collaboration; consulting fees for Synairgen; honorarium for a lecture from GlaxoSmithKline; participation on a data safety monitoring board or advisory board for Kymab (Cambridge) and shares in Synairgen outside of the submitted work. A. Bourdin declares grants from Boehringer and AstraZeneca; consulting fees and payments from Boehringer, AstraZeneca, GlaxoSmithKline, Novartis, Chiesi, Regeneron, Sanofi and Amgen outside of the submitted work. B. Karadag declares participation in a trial conducted by Sanofi (payment to institution) and attending advisory board meetings for GlaxoSmithKline (personal fees). K. Blumchen declares grants from Aimmune Therapeutics, DBV Technologies and Hipp GmbH; consulting fees from Aimmune Therapeutics, DBV Technologies and Allergy Therapeutics; payments for lectures from Aimmune Therapeutics, DBV Technologies, Novartis, Allergy Therapeutics, HAL, ALK, Allergopharma, Nutricia, Thermo Fisher Scientific, and Bausch and Lomb; personal fees for expert discussions from Novartis and Nestle; fees for attending meetings from Aimmune Therapeutics and DBV Technologies; being on data safety monitoring board of Charité, IIT. A. Gupta received speaker/advisory board fees from GlaxoSmithKline, Novartis, AstraZeneca and Boehringer Ingelheim; received research grants from GlaxoSmithKline, Novartis, AstraZeneca and Boehringer Ingelheim, paid to institution. L. Giovannini-Chami declares consulting fees from ALK, AstraZeneca and Novartis; honoraria for lectures, presentations from Novartis, ALK, Stallergènes, Sanofi and AstraZeneca; support for attending meetings from Stallergènes; participation on a data safety monitoring board or advisory board for Sanofi; being head of the Scientific Committee of the French Pediatric Pulmonology and Allergology Society. C.S. Murray has received lecture fees from GlaxoSmithKline and Novartis; received grants from Asthma UK and National Institute for Health Research; and has participated on an advisory board for Boehringer Ingelheim. G. Roberts declares European Union Innovative Medicines Initiative funding and AstraZeneca paid to the institution. Other co-authors declare no conflicts of interest for this article., (Copyright ©The authors 2023.)

Background: Changes in exhaled volatile organic compounds (VOCs) can be used to discriminate between respiratory diseases, and increased concentrations of hydrocarbons are commonly linked to oxidative stress. However, the VOCs identified are inconsistent between studies, and translational studies are lacking., Methods: In this bench to bedside study, we captured VOCs in the headspace of A549 epithelial cells after exposure to hydrogen peroxide (H 2 O 2 ), to induce oxidative stress, using high-capacity polydimethylsiloxane sorbent fibres. Exposed and unexposed cells were compared using targeted and untargeted analysis. Breath samples of invasively ventilated intensive care unit patients (n=489) were collected on sorbent tubes and associated with the inspiratory oxygen fraction ( F IO 2 ) to reflect pulmonary oxidative stress. Headspace samples and breath samples were analysed using gas chromatography and mass spectrometry., Results: In the cell, headspace octane concentration was decreased after oxidative stress (p=0.0013), while the other VOCs were not affected. 2-ethyl-1-hexanol showed an increased concentration in the headspace of cells undergoing oxidative stress in untargeted analysis (p=0.00014 ) . None of the VOCs that were linked to oxidative stress showed a significant correlation with F IO 2 (R s range: -0.015 to -0.065) or discriminated between patients with F IO 2 ≥0.6 or below (area under the curve range: 0.48 to 0.55)., Conclusion: Despite a comprehensive translational approach, validation of known and novel volatile biomarkers of oxidative stress was not possible in patients at risk of pulmonary oxidative injury. The inconsistencies observed highlight the difficulties faced in VOC biomarker validation, and that caution is warranted in the interpretation of the pathophysiological origin of discovered exhaled breath biomarkers., Competing Interests: Conflict of interest: D. Fenn has nothing to disclose. Conflict of interest: T.A. Lilien has nothing to disclose. Conflict of interest: L.A. Hagens has nothing to disclose. Conflict of interest: M.R. Smit has nothing to disclose. Conflict of interest: N.F.L. Heijnen has nothing to disclose. Conflict of interest: A.M. Tuip-de Boer has nothing to disclose. Conflict of interest: A.H. Neerincx has nothing to disclose. Conflict of interest: K. Golebski has nothing to disclose. Conflict of interest: D.C.J.J. Bergmans has nothing to disclose. Conflict of interest: R.M. Schnabel has nothing to disclose. Conflict of interest: M.J. Schultz has nothing to disclose. Conflict of interest: A.H. Maitland-van der Zee has received research grants outside the submitted work from GSK, Boehringer Ingelheim and Vertex; she is the principal investigator of a P4O2 (Precision Medicine for more Oxygen) public–private partnership sponsored by Health Holland involving many private partners that contribute in cash and/or in kind (Boehringer Ingelheim, Breathomix, Fluidda, Ortec Logiqcare, Philips, Quantib-U, Roche, Smartfish, SODAQ, Thirona, TopMD and Novartis); and she has served in advisory boards for AstraZeneca, GSK and Boehringer Ingelheim, with money paid to her institution. Conflict of interest: P. Brinkman has nothing to disclose. Conflict of interest: L.D.J. Bos reports grants from the Dutch Lung Foundation (Young investigator grant), grants from the Dutch Lung Foundation and Health Holland (Public–Private Partnership grant), grants from the Dutch Lung Foundation (Dirkje Postma Award), grants from IMI COVID19 initiative, and grants from Amsterdam UMC fellowship, outside the submitted work; he has also served in advisory capacity for Santhera and Janssen with money paid to his institution., (Copyright ©The authors 2023.)

The COMEX-30 hyperbaric treatment table is used to manage decompression sickness in divers but may result in pulmonary oxygen toxicity (POT). Volatile organic compounds (VOCs) in exhaled breath are early markers of hyperoxic stress that may be linked to POT. The present study assessed whether VOCs following COMEX-30 treatment are early markers of hyperoxic stress and/or POT in ten healthy, nonsmoking volunteers. Because more oxygen is inhaled during COMEX-30 treatment than with other treatment tables, this study hypothesized that VOCs exhaled following COMEX-30 treatment are indicators of POT. Breath samples were collected before and 0.5, 2, and 4 h after COMEX-30 treatment. All subjects were followed-up for signs of POT or other symptoms. Nine compounds were identified, with four (nonanal, decanal, ethyl acetate, and tridecane) increasing 33-500% in intensity from before to after COMEX-30 treatment. Seven subjects reported pulmonary symptoms, five reported out-of-proportion tiredness and transient ear fullness, and four had signs of mild dehydration. All VOCs identified following COMEX-30 treatment have been associated with inflammatory responses or pulmonary diseases, such as asthma or lung cancer. Because most subjects reported transient pulmonary symptoms reflecting early-stage POT, the identified VOCs are likely markers of POT, not just hyperbaric hyperoxic exposure.

Background: Various definitions used to describe cisplatin nephrotoxicity potentially lead to differences in determination of risk factors. This study evaluated incidence of kidney injury according to commonly used and alternative definitions in two cohorts of children who received cisplatin., Methods: This retrospective cohort study included children from Vancouver, Canada (one center), and Mexico City, Mexico (two centers), treated with cisplatin for a variety of solid tumors. Serum creatinine-based definitions (KDIGO and Pediatric RIFLE (pRIFLE)), electrolyte abnormalities consisted of hypokalemia, hypophosphatemia and hypomagnesemia (based on NCI-CTCAE v5), and an alternative definition (Alt-AKI) were used to describe nephrotoxicity. Incidence with different definitions, definitional overlap, and inter-definition reliability was analyzed., Results: In total, 173 children (100 from Vancouver, 73 from Mexico) were included. In the combined cohort, Alt-AKI criteria detected more patients with cisplatin nephrotoxicity compared to pRIFLE and KDIGO criteria (82.7 vs. 63.6 vs. 44.5%, respectively). Nephrotoxicity and all electrolyte abnormalities were significantly more common in Vancouver cohort than in Mexico City cohort except when using KDIGO definition. The most common electrolyte abnormalities were hypomagnesemia (88.9%, Vancouver) and hypophosphatemia (24.2%, Mexico City). The KDIGO definition provided highest overlap of cases in Vancouver (100%), Mexico (98.6%), and the combined cohort (99.4%). Moderate overall agreement was found among Alt-AKI, KDIGO, and pRIFLE definitions (κ = 0.18, 95% CI 0.1-0.27) in which KDIGO and pRIFLE showed moderate agreement (κ = 0.48, 95% CI 0.36-0.60)., Conclusions: Compared to pRIFLE and KDIGO criteria, Alt-AKI criteria detected more patients with cisplatin nephrotoxicity. pRIFLE is more sensitive to detect not only actual kidney injury but also patients at risk of cisplatin nephrotoxicity, while KDIGO seems more useful to detect clinically significant kidney injury. A higher resolution version of the Graphical abstract is available as Supplementary information., (© 2022. The Author(s), under exclusive licence to International Pediatric Nephrology Association.)

Background: Uncontrolled asthma can lead to severe exacerbations and reduced quality of life. Research has shown that the microbiome may be linked with asthma characteristics; however, its association with asthma control has not been explored. We aimed to investigate whether the gastrointestinal microbiome can be used to discriminate between uncontrolled and controlled asthma in children., Methods: 143 and 103 feces samples were obtained from 143 children with moderate-to-severe asthma aged 6 to 17 years from the SysPharmPediA study. Patients were classified as controlled or uncontrolled asthmatics, and their microbiome at species level was compared using global (alpha/beta) diversity, conventional differential abundance analysis (DAA, analysis of compositions of microbiomes with bias correction), and machine learning [Recursive Ensemble Feature Selection (REFS)]., Results: Global diversity and DAA did not find significant differences between controlled and uncontrolled pediatric asthmatics. REFS detected a set of taxa, including Haemophilus and Veillonella, differentiating uncontrolled and controlled asthma with an average classification accuracy of 81% (saliva) and 86% (feces). These taxa showed enrichment in taxa previously associated with inflammatory diseases for both sampling compartments, and with COPD for the saliva samples., Conclusion: Controlled and uncontrolled children with asthma can be differentiated based on their gastrointestinal microbiome using machine learning, specifically REFS. Our results show an association between asthma control and the gastrointestinal microbiome. This suggests that the gastrointestinal microbiome may be a potential biomarker for treatment responsiveness and thereby help to improve asthma control in children., (© 2023 The Authors. Pediatric Allergy and Immunology published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.)

Background: Uncontrolled pediatric asthma has a large impact on patients and their caregivers. More insight into determinants of uncontrolled asthma is needed. We aim to compare treatment regimens, inhaler techniques, medication adherence and other characteristics of children with controlled and uncontrolled asthma in the: Systems Pharmacology approach to uncontrolled Paediatric Asthma (SysPharmPediA) study., Material and Methods: 145 children with moderate to severe doctor-diagnosed asthma (91 uncontrolled and 54 controlled) aged 6-17 years were enrolled in this multicountry, (Germany, Slovenia, Spain, and the Netherlands) observational, case-control study. The definition of uncontrolled asthma was based on asthma symptoms and/or exacerbations in the past year. Patient-reported adherence and clinician-reported medication use were assessed, as well as lung function and inhalation technique. A logistic regression model was fitted to assess determinants of uncontrolled pediatric asthma., Results: Children in higher asthma treatment steps had a higher risk of uncontrolled asthma (OR (95%CI): 3.30 (1.56-7.19)). The risk of uncontrolled asthma was associated with a larger change in FEV 1 % predicted post and pre-salbutamol (OR (95%CI): 1.08 (1.02-1.15)). Adherence and inhaler techniques were not associated with risk of uncontrolled asthma in this population., Conclusion: This study showed that children with uncontrolled moderate-to-severe asthma were treated in higher treatment steps compared to their controlled peers, but still showed a higher reversibility response to salbutamol. Self-reported adherence and inhaler technique scores did not differ between controlled and uncontrolled asthmatic children. Other determinants, such as environmental factors and differences in biological profiles, may influence the risk of uncontrolled asthma in this moderate to severe asthmatic population., Competing Interests: Declaration of Competing Interest AHAB, EMAS, LDB, SB, PC, SiH, AMH, JK, ADK, OSP, SJHV, and CW have no conflicts of interest to disclose. MG has received the SysPharmPedia and PERMEABLE grants, co-financed by the Ministry of Education, Science and Sport Slovenia (MIZS), and he was also funded by Slovenian Research Agency. SuH has received honoraria from Nutricia. MK has received the ERACoSysMed grant. He was funded by the European Union, the German ministry of education and research, the German research foundation, and Infectopharm and received consulting fees from Bionorica, Sanofi, Novartis, and Bencard. He also received honoraria from ERS, EAACI, ATS, Novartis, Glaxo, Chiesi, Sanofi, Nutricia, Hipp, and Allergopharma. GHK has received grants for his institution outside this study from the Lung Foundation of the Netherlands, The Netherlands Organization of Scientific Research, GSK, TEVA, Vertex, and Ubbo Emmius Foundation. He also received financial support for his institute as membership of scientific advisory boards to GSK and to PURE IMS. AHN has received the ZonMW grant. MWP has received research grants for her institute from Netherlands Lung Foundation and Netherlands Organisation for Health Research and Development and received consulting fees as an advisory board from Sanofi Genzyme. She also received speaker fees from AbbVie and Novartis. She is also chair of the pediatric assembly European Respiratory Society. MPY was funded by ISCIII through AES and EC within the AAL framework, and the SysPharmPedia grant from the ERACoSysMed 1st Joint Transnational Call from the European Union under the Horizon 2020. She was funded by the Ramón y Cajal Program by the Spanish Ministry of Science and Innovation and by the European Social Fund “ESF Investing in your future”. She was funded by the Spanish Ministry of Science and Innovation and the European Regional Development Fund “ERDF A way of making Europe” by the European Union grant [SAF2017–83417R], and by MCIN/AEI/10.13039/501,100,011,033 [grant PID2020–116274RB-I00] (Outside of the submitted work). She was also funded by the Allergopharma Award 2021, Instituto de Salud Carlos III (ISCIII) [CB06/06/1088], and received support from GlaxoSmithKline S.A. (Outside of the submitted work). UP has received the SysPharmPedia grant, co-financed by the Ministry of Education, Science and Sport Slovenia (MIZS), and funded by the Slovenian Research Agency and the Ministry of Education, Science and Sport of the Republic of Slovenia for the PERMEABLE grant. MIA was funded by a full PhD scholarship from the Ministry of Higher Education of the Arab Republic of Egypt during the conduct of the study and was funded by a grant from Stichting Asthma Bestrijding. AHM has received ERANET Systems Medicine and ZonMW grant [project number: 9,003,035,001], SysPharmPediA grant from the ERACoSysMed 1st Joint Transnational Call from the European Union under the Horizon 2020 (AC15/00,015) and she is the PI of P4O2 (Precision Medicine for more Oxygen) public-private partnership sponsored by Health Holland involving many private partners who contribute in cash and/or in kind (Boehringer Ingelheim, Breathomix, Fluidda, Ortec Logiqcare, Philips, Quantib-U, Smartfish, SODAQ, Thirona, TopMD, and Novartis) and received Unrestricted research grant Boehringer Ingelheim and Vertex Innovation Award paid to her institution. She also received consulting fees paid to her institution from Astra Zeneca and Boehringer Ingelheim and received honoraria for lectures paid to her institution from GSK. She is chair of the DSMB SOS BPD study, advisory board member of the CHAMP study, president federation of innovative drug research in the Netherlands (FIGON), and the president European association of systems medicine (EASYM)., (Copyright © 2022. Published by Elsevier B.V.)

Long COVID is the persistence of one or more COVID-19 symptoms after the initial viral infection, and there is evidence supporting its association with lung damage. In this systematic review, we provide an overview of lung imaging and its findings in long COVID patients. A PubMed search was performed on 29 September 2021, for English language studies in which lung imaging was performed in adults suffering from long COVID. Two independent researchers extracted the data. Our search identified 3130 articles, of which 31, representing the imaging findings of 342 long COVID patients, were retained. The most common imaging modality used was computed tomography (CT) (N = 249). A total of 29 different imaging findings were reported, which were broadly categorized into interstitial (fibrotic), pleural, airway, and other parenchymal abnormalities. A direct comparison between cases, in terms of residual lesions, was available for 148 patients, of whom 66 (44.6%) had normal CT findings. Although respiratory symptoms belong to the most common symptoms in long COVID patients, this is not necessarily linked to radiologically detectable lung damage. Therefore, more research is needed on the role of the various types of lung (and other organ) damage which may or may not occur in long COVID.

Asthma is a complex, heterogeneous disease that necessitates a proper patient evaluation to decide the correct treatment and optimize disease control. The recent introduction of new target therapies for the most severe form of the disease has heralded a new era of treatment options, intending to treat and control specific molecular pathways in asthma pathophysiology. Precision medicine, using omics sciences, investigates biological and molecular mechanisms to find novel biomarkers that can be used to guide treatment selection and predict response. The identification of reliable biomarkers indicative of the pathological mechanisms in asthma is essential to unravel new potential treatment targets. In this chapter, we provide a general description of the currently available -omics techniques, focusing on their implications in asthma therapy., (© 2022. The Author(s), under exclusive license to Springer Nature Switzerland AG.)

Rationale: There is a major unmet need for improving the care of children and adolescents with severe asthma and wheeze. Identifying factors contributing to disease severity may lead to improved diagnostics, biomarkers, or therapies. The airway microbiota may be such a key factor. Objectives: To compare the oropharyngeal airway microbiota of children and adolescents with severe and mild/moderate asthma/wheeze. Methods: Oropharyngeal swab samples from school-age and preschool children in the European U-BIOPRED (Unbiased BIOmarkers in the PREDiction of respiratory disease outcomes) multicenter study of severe asthma, all receiving severity-appropriate treatment, were examined using 16S ribosomal RNA gene sequencing. Bacterial taxa were defined as amplicon sequence variants. Results: We analyzed 241 samples from four cohorts: A) 86 school-age children with severe asthma; B) 39 school-age children with mild/moderate asthma; C) 65 preschool children with severe wheeze; and D) 51 preschool children with mild/moderate wheeze. The most common bacteria were Streptococcus (mean relative abundance, 33.5%), Veillonella (10.3%), Haemophilus (7.0%), Prevotella (5.9%), and Rothia (5.5%). Age group (school-age vs. preschool) was associated with the microbiota in β-diversity analysis ( F  = 3.32, P  = 0.011) and in a differential abundance analysis (28 significant amplicon sequence variants). Among all children, we found no significant difference in the microbiota between children with severe and mild/moderate asthma/wheeze in univariable β-diversity analysis ( F  = 1.99, P  = 0.08, N  = 241), but a significant difference in a multivariable model ( F  = 2.66, P  = 0.035), including the number of exacerbations in the previous year. Age was also significant when expressed as a microbial maturity score (Spearman Rho, 0.39; P  = 4.6 × 10 -10 ); however, this score was not associated with asthma/wheeze severity. Conclusions: There was a modest difference in the oropharyngeal airway microbiota between children with severe and mild/moderate asthma/wheeze across all children but not in individual age groups, and a strong association between the microbiota and age. This suggests the oropharyngeal airway microbiota as an interesting entity in studying asthma severity, but probably without the strength to serve as a biomarker for targeted intervention.

Elexacaftor/tezacaftor/ivacaftor (ETI) is a cystic fibrosis (CF) transmembrane conductance regulator modulator, which has shown efficacy in CF patients (≥6 years) with ≥1 Phe508del mutation and a minimal function mutation. In October 2019, ETI became available on compassionate use basis for Dutch CF patients with severe lung disease. Our objective was to investigate safety and efficacy of ETI in this patient group in a real-life setting. A multicenter longitudinal observational study was conducted to examine changes in FEV 1 , BMI, and adverse events at initiation and 1, 3, 6, and 12 months after starting ETI. The number of exacerbations was recorded in the 12 months before and the 12 months after ETI treatment. Patients eligible for compassionate use had a FEV 1 <40% predicted. Wilcoxon signed-rank test analyzed changes over time. Twenty subjects were included and followed up for up to 12 months after starting ETI. Treatment was well tolerated with mild side effects reported, namely, rash (15%) and stomach ache (20%) with 80% resolving within 1 month. Mean absolute increase of FEV 1 was 11.8/13.7% (p ≤ .001) and BMI was 0.49/1.87 kg/m 2 (p < .001-0.02) after 1/12 months, respectively. In comparison to the number of exacerbations pretrial, there was a marked reduction in exacerbations after initiation. Our findings show long-term effects of treatment with ETI in patients with severe CF lung disease in a real-life setting. Treatment with ETI is associated with increased lung function and BMI, less exacerbations, and only mild side effects., (© 2022 The Authors. Pharmacology Research & Perspectives published by British Pharmacological Society and American Society for Pharmacology and Experimental Therapeutics and John Wiley & Sons Ltd.)

The safety and efficacy of pharmacotherapy in children, particularly preterms, neonates and infants, is limited by a paucity of good-quality data from prospective clinical drug trials. A specific challenge is the establishment of valid biomarkers. OMICs technologies may support these efforts by complementary information about targeted and nontargeted molecules through systematic characterization and quantitation of biological samples. OMICs technologies comprise at least genomics, epigenomics, transcriptomics, proteomics, metabolomics and microbiomics in addition to the patient's phenotype. OMICs technologies are in part hypothesis-generating, allowing an in depth understanding of disease pathophysiology and pharmacological mechanisms. Application of OMICs technologies in paediatrics faces major challenges before routine adoption. First, developmental processes need to be considered, including a subdivision into specific age groups as developmental changes clearly impact OMICs data. Second, compared to the adult population, the number of patients is limited as are the type and amount of necessary biomaterial, especially in neonates and preterms. Thus, advanced trial designs and biostatistical methods, noninvasive biomarkers, innovative biobanking concepts including data and samples from healthy children, as well as analytical approaches (eg liquid biopsies) should be addressed to overcome these obstacles. The ultimate goal is to link OMICs technologies with innovative analysis tools, such as artificial intelligence at an early stage. The use of OMICs data based on a feasible approach will contribute to the identification complex phenotypes and subpopulations of patients to improve the development of medicines for children with potential economic advantages., (© 2022 The Authors. British Journal of Clinical Pharmacology published by John Wiley & Sons Ltd on behalf of British Pharmacological Society.)

Introduction: Childhood asthma is a complex heterogenous inflammatory disease that can pose a large burden on patients and their caregivers. There is a strong need to adapt asthma treatment to the individual patient taking into account underlying inflammatory profiles, moving from a 'one size fits all' approach toward a much-needed personalized approach., Areas Covered: This review article aims to provide an overview of recent advances in the management and treatment of pediatric asthma, including novel insights on the molecular heterogeneity of childhood asthma, the emergence of biologicals to treat severe asthma, and innovative e-health and home monitoring techniques to make asthma management more convenient and accessible., Expert Opinion: Molecular technologies have provided new treatment leads. E-health and home monitoring technologies have helped to gain more insights into disease dynamics and improve adherence to treatment while bringing health care to the patient. However, uncontrolled childhood asthma is still a major unmet clinical need and precision-medicine approaches are still scarce in clinical practice. Advanced omics methods may help researchers or clinicians to more accurately phenotype and treat subtypes of childhood asthma and gain more insight into the complexity of the disease.

Pharmacogenomics (PGx) relates to the study of genetic factors determining variability in drug response. Implementing PGx testing in paediatric patients can enhance drug safety, helping to improve drug efficacy or reduce the risk of toxicity. Despite its clinical relevance, the implementation of PGx testing in paediatric practice to date has been variable and limited. As with most paediatric pharmacological studies, there are well-recognised barriers to obtaining high-quality PGx evidence, particularly when patient numbers may be small, and off-label or unlicensed prescribing remains widespread. Furthermore, trials enrolling small numbers of children can rarely, in isolation, provide sufficient PGx evidence to change clinical practice, so extrapolation from larger PGx studies in adult patients, where scientifically sound, is essential. This review paper discusses the relevance of PGx to paediatrics and considers implementation strategies from a child health perspective. Examples are provided from Canada, the Netherlands and the UK, with consideration of the different healthcare systems and their distinct approaches to implementation, followed by future recommendations based on these cumulative experiences. Improving the evidence base demonstrating the clinical utility and cost-effectiveness of paediatric PGx testing will be critical to drive implementation forwards. International, interdisciplinary collaborations will enhance paediatric data collation, interpretation and evidence curation, while also supporting dedicated paediatric PGx educational initiatives. PGx consortia and paediatric clinical research networks will continue to play a central role in the streamlined development of effective PGx implementation strategies to help optimise paediatric pharmacotherapy., (© 2021 The Authors. British Journal of Clinical Pharmacology published by John Wiley & Sons Ltd on behalf of British Pharmacological Society.)

Background: Reslizumab, a biologic targeting IL-5, has been shown to reduce asthma exacerbations and maintenance oral corticosteroid use in randomized controlled trials and pre-post studies in patients with severe eosinophilic asthma. However, real-world effectiveness data of reslizumab are scarce, and it is unknown whether reslizumab has added value after switching from another type 2 biologic., Objective: To evaluate (1) the real-world effectiveness of reslizumab on severe asthma exacerbations, maintenance oral corticosteroid use, and overall treatment response, both in biologic-naive patients who initiated reslizumab and in those who switched from another type 2 biologic; and (2) physicians' experience with reslizumab treatment., Methods: This observational real-world study evaluated data from 134 adults with severe eosinophilic asthma included in the Dutch severe asthma registry (RAPSODI), who initiated reslizumab treatment (4-weekly infusions, 0.3 mg/kg) before April 2020 and had follow-up data for 6 months and greater. Clinical asthma experts completed surveys on their experience with reslizumab treatment., Results: Overall, reslizumab reduced the exacerbation rate (odds ratio [95% CI] = 0.10 [0.05-0.21]; P < .001), oral corticosteroid use (OR [95% CI], 0.2 [0.0-0.5]; P < .001), and maintenance dose (median [CI], 5.0 [0.0-10.0] to 0.0 [0.0-5.0]; P < .001), with comparable results in biologic-naive reslizumab initiators and switchers. The overall response to reslizumab was graded good or excellent in 59.2% of patients. The additive effectiveness of reslizumab after switching from another biologic was reflected in physicians' surveys., Conclusions: Real-world data show that reslizumab reduces severe asthma exacerbations and oral corticosteroid use in patients with severe eosinophilic asthma, both in biologic-naive reslizumab initiators and in those who switched from another type 2 biologic. This additional value of reslizumab was recognized by clinical asthma experts., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Aims: Ethnic differences exist in the prevalence and progression of chronic kidney disease (CKD). However, underlying mechanisms remain unclear. It has been proposed that chronic low-grade inflammation plays an important role in CKD pathogenesis. In the current analysis, we study the association between systemic inflammatory biomarkers and CKD prevalence in different ethnic groups., Methods: We examined cross-sectional associations between biomarkers of low-grade inflammation, including serum high-sensitive (hs)-CRP, fibrinogen, and D-dimer, and CKD prevalence in different ethnic groups residing in Amsterdam, the Netherlands. We included 5740 participants (similar-sized Dutch, African Surinamese, South-Asian Surinamese, Ghanaian, Turkish and Moroccan populations) aged 18 to 70 years of the Healthy Life in an Urban Setting study (HELIUS) cohort., Results: In the fully adjusted models, adjusted for ethnicity-specific cut-off values, elevated fibrinogen [odds ratio 2.50 (95 % confidence interval 1.10-5.78)] and D-dimer [2.99 (1.28-7.00)] were significantly associated with CKD in Dutch. In South-Asian Surinamese, a significant association with elevated D-dimer [2.66 (1.32-5.37)] was found., Conclusions: Our study shows that there are both differences in biomarker levels and the association with CKD across ethnic groups. Future research to identify potential drivers of the differential associations and susceptibility of CKD among ethnic groups to reduce the CKD burden is necessary., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: The knowledge of factors influencing disease progression in patients with established coronary heart disease (CHD) is still relatively limited. One potential pathway is related to peroxisome proliferator-activated receptor gamma coactivator-1 alpha (PPARGC1A), a transcription factor linked to energy metabolism which may play a role in the heart function. Thus, its associations with subsequent CHD events remain unclear. We aimed to investigate the effect of three different SNPs in the PPARGC1A gene on the risk of subsequent CHD in a population with established CHD. Methods: We employed an individual-level meta-analysis using 23 studies from the GENetIcs of sUbSequent Coronary Heart Disease (GENIUS-CHD) consortium, which included participants ( n = 80,900) with either acute coronary syndrome, stable CHD, or a mixture of both at baseline. Three variants in the PPARGC1A gene (rs8192678, G482S; rs7672915, intron 2; and rs3755863, T528T) were tested for their associations with subsequent events during the follow-up using a Cox proportional hazards model adjusted for age and sex. The primary outcome was subsequent CHD death or myocardial infarction (CHD death/myocardial infarction). Stratified analyses of the participant or study characteristics as well as additional analyses for secondary outcomes of specific cardiovascular disease diagnoses and all-cause death were also performed. Results: Meta-analysis revealed no significant association between any of the three variants in the PPARGC1A gene and the primary outcome of CHD death/myocardial infarction among those with established CHD at baseline: rs8192678, hazard ratio (HR): 1.01, 95% confidence interval (CI) 0.98-1.05 and rs7672915, HR: 0.97, 95% CI 0.94-1.00; rs3755863, HR: 1.02, 95% CI 0.99-1.06. Similarly, no significant associations were observed for any of the secondary outcomes. The results from stratified analyses showed null results, except for significant inverse associations between rs7672915 (intron 2) and the primary outcome among 1) individuals aged ≥65, 2) individuals with renal impairment, and 3) antiplatelet users. Conclusion: We found no clear associations between polymorphisms in the PPARGC1A gene and subsequent CHD events in patients with established CHD at baseline., Competing Interests: SL has received Roche funding for unrelated work; SJ has received grants from AstraZeneca, The Medicines Company; CH declares advisory board and speaker’s bureau for AstraZeneca, institutional research grants from Bristol Myers Squibb, Merck &Co, GlaxoSmithKline, Roche Diagnostics, and advisory board for Bayer and Boehringer Ingelheim; EH declares being an expert committee member, lecture fees, and institutional research grant from Sanofi and Amgen, institutional research grants from AstraZeneca and GlaxoSmithKline, as well as an expert committee member and lecture fees for Novo Nordisk and Behringer; BH has an institutional research grant from AstraZeneca for unrelated work and is an advisory board member for Opsis Health and Lab Me Analytics, and Intermountain Healthcare has licensed his intellectual property to CareCentra and Alluceo; NE declares institutional research grants from AstraZeneca and Pfizer. AXA has received institutional research grant and speaker fee from AstraZeneca and an institutional research grant from Roche Diagnostics; AXA has received an institutional research grant and speaker fee from AstraZeneca and an institutional research grant from Roche Diagnostics; BH has an institutional research grant from AstraZeneca for unrelated work and is an advisory board member for Opsis Health and Lab Me Analytics, and Intermountain Healthcare has licensed his intellectual property to CareCentra and Alluceo. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Schillemans, Tragante, Maitusong, Gigante, Cresci, Laguzzi, Vikström, Richards, Pilbrow, Cameron, Foco, Doughty, Kuukasjärvi, Allayee, Hartiala, Tang, Lyytikäinen, Nikus, Laurikka, Srinivasan, Mordi, Trompet, Kraaijeveld, van Setten, Gijsberts, Maitland-van der Zee, Saely, Gong, Johnson, Cooper-DeHoff, Pepine, Casu, Leiherer, Drexel, Horne, van der Laan, Marziliano, Hazen, Sinisalo, Kähönen, Lehtimäki, Lang, Burkhardt, Scholz, Jukema, Eriksson, Åkerblom, James, Held, Hagström, Spertus, Algra, de Faire, Åkesson, Asselbergs, Patel and Leander.)