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Background: Numerous studies have documented significant alterations in the bodily fluids of Chronic Obstructive Pulmonary Disease (COPD) patients. However, existing literature lacks causal inference due to residual confounding and reverse causality. Methods: Summary-level data for COPD were obtained from two national biobanks: the UK Biobank, comprising 1,605 cases and 461,328 controls, and FinnGen, with 6,915 cases and 186,723 controls. We also validated our findings using clinical data from 2,690 COPD patients and 3,357 healthy controls from the First Affiliated Hospital of Guangzhou Medical University. A total of 44 bodily fluid biomarkers were selected as candidate risk factors. Mendelian randomization (MR) and meta-analyses were used to evaluate the causal effects of these bodily fluids on COPD and lung function (FEV1/FVC). Results: Mendelian randomization (MR) and meta-analyses, by integrating data from the UK Biobank and FinnGen cohort, found that 3 bodily fluids indicators (HDLC, EOS, and TP) were causally associated with the risk of COPD, two (EOS and TP) of which is consistent with our observational findings. Moreover, we noticed EOS and TP were causally associated with the risk of lung function (FEV1/FVC). Conclusions: The MR findings and clinical data highlight the independent and significant roles of EOS and TP in the development of COPD and lung function (FEV1/FVC), which might provide a deeper insight into COPD risk factors and supply potential preventative strategies. [ABSTRACT FROM AUTHOR]

Background: The inactivated Sinopharm/BBIBP COVID‐19 vaccine has been widely used in the world and has joined the COVAX vaccine supply program for developing countries. It is also well adapted for usage in low‐ and middle‐income nations due to their low storage requirements. Objective: This study aims to report on the kinetics, durability, and neutralizing ability of the induced immunity of the BBIBP vaccine, and the intensified antibody response elicited by the booster. Methods: A total of 353 healthy adult participants, aged 20–74 years, were recruited in this multicenter study. A standard dose of the BBIBP vaccine was administered (Month 0), followed by a second standard dose (Month 1), and a booster dose (after Month 7). Vaccine‐induced virus‐specific antibody levels (SARS‐CoV‐2‐IgA/IgM/IgG), conventional virus neutralization test (cVNT), pseudovirus neutralization test (pVNT), and surrogate virus neutralization test (sVNT) were monitored over multiple time points. Results: Neutralizing titers induced by the two doses of inactivated vaccine for COVID‐19 peaked at Month 2 and declined to 33.89% at Month 6. Following the booster dose, elevated levels of antibodies were induced for IgA, IgG, and neutralizing antibodies, with neutralizing titer reaching 13.2 times that of before the booster. Conclusion: By monitoring the antibody titer levels postvaccination, this study has shown that serum antibody levels will decrease over time, but a notable spike in antibody levels postbooster highlights the anamnestic immune response. This signifies that the protection capability has increased following the injection of booster immunization. [ABSTRACT FROM AUTHOR]

The sudden emergence of the SARS-CoV-2 Omicron variant is causing major global concern due to its high number of mutations compared to previous variants, which is a relatively rare but significant event that can change the course of viral evolution, the occurrence of which might have huge consequences for the natural evolution of species in general, prompting us to rethink our knowledge on evolution. [ABSTRACT FROM AUTHOR]

Metabolomics based on the mass spectrometry approach can serve as a platform to detect pathogens and spoilage microorganisms. However, the accurate quantification of biomarkers with lower molecular weight based on mass spectrometry is generally limited by isotope-labeled standards and complicated protocols, which is not conducive to large-scale applications. Here, we developed a novel method that combined metabolomics with deep learning for the identification of Listeria monocytogenes. A convolutional neural network (CNN) model of these three potential biomarkers for L. monocytogenes was established, with a prediction accuracy of 82.2%. Furthermore, metabolic fingerprints composed of 29 metabolites were obtained using pseudotargeted metabolomics approach, which successfully distinguished six common Listeria species in hierarchical cluster analysis. The binary and multiple classifiers of CNN models were established to identify L. monocytogenes and common pathogens, which prediction accuracies were 96.7% and 96.3%, respectively. This novel method combined pseudotargeted metabolomics with deep learning is a promising powerful tool for pathogen identification and classification. • A platform that combined metabolomics and deep learning was used for pathogen identification. • Three metabolic potential biomarkers for identifying L. monocytogenes were selected. • The CNN model based on metabolic fingerprints was established. • Compared to traditional LC–MS methods, the detection time is shortened to 12 min. [ABSTRACT FROM AUTHOR]

Objective. To explore the clinical effect of Sanfeng Tongqiao Diwan in the treatment of allergic rhinitis. Methods. Allergic rhinitis patients included in this study were randomly divided into control group and study group for 7 days of treatment. The control group was treated with Tongqiao Biyan Pian, while the study group was treated with Sanfeng Tongqiao Diwan. Results. After 7 days of treatment, the total effective rate of Sanfeng Tongqiao Diwan was 75.76%, which was higher than that of Tongqiao Biyan Pian (65.62%). The scores of visual analogue scale (VAS), symptom relief, Rhinoconjunctivitis Quality of Life Questionnaire (RQLQ), and Epworth sleepiness scale (ESS) in both groups were significantly improved before and after treatment (P < 0.05), and the improvement was most significant 24 hours after treatment. The adverse reactions in both groups were low. Conclusion. Sanfeng Tongqiao Diwan can significantly alleviate the symptoms and improve the quality of life of patients with allergic rhinitis, with less adverse reactions. [ABSTRACT FROM AUTHOR]

There is a current pandemic of a new type of coronavirus, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The number of confirmed infected cases has been rapidly increasing. This paper analyzes the characteristics of SARS-CoV-2 in comparison with Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV), Middle East Respiratory Syndrome Coronavirus (MERS-CoV) and influenza. COVID-19 is similar to the diseases caused by SARS-CoV and MERS-CoV virologically and etiologically, but closer to influenza in epidemiology and virulence. The comparison provides a new perspective for the future of the disease control, and offers some ideas in the prevention and control management strategy. The large number of infectious people from the origin, and the highly infectious and occult nature have been two major problems, making the virus difficult to eradicate. We thus need to contemplate the possibility of long-term co-existence with COVID-19. [ABSTRACT FROM AUTHOR]

The comorbidities between gastroesophageal reflux disease (GERD) and various neurodegenerative and psychiatric disorders have been widely reported. However, the genetic correlations, causal relationships, and underlying mechanisms linking GERD to these disorders remain largely unknown. Here, we conducted a bidirectional Mendelian randomization (MR) analysis to determine the causality between GERD and 6 neurodegenerative and psychiatric disorders. Sensitivity analyses and multivariable MR were performed to test the robustness of our findings. Linkage disequilibrium score regression was used to assess the genetic correlation between these diseases as affected by heredity. Multiple bioinformatics tools combining two machine learning algorithms were applied to further investigate the potential mechanisms underlying these diseases. We found that genetically predicted GERD significantly increased the risk of Alzheimer's disease, major depressive disorder, and anxiety disorders. There might be a bidirectional relationship between GERD and insomnia. GERD has varying degrees of genetic correlations with AD, ALS, anxiety disorders, insomnia, and depressive disorder. Bioinformatics analyses revealed the hub shared genes and the common pathways between GERD and 6 neurodegenerative and psychiatric disorders. Our findings demonstrated the complex nature of the genetic architecture across these diseases and clarified their causality, highlighting that treatments for the cure or remission of GERD may serve as potential strategies for preventing and managing neurodegenerative and psychiatric disorders. [ABSTRACT FROM AUTHOR]

Blood is critical for health, supporting key functions like immunity and oxygen transport. While studies have found links between common blood clinical indicators and COVID-19, they cannot provide causal inference due to residual confounding and reverse causality. To identify indicators affecting COVID-19, we analyzed clinical data (n = 2,293, aged 18–65 years) from Guangzhou Medical University's first affiliated hospital (2022-present), identifying 34 significant indicators differentiating COVID-19 patients from healthy controls. Utilizing bidirectional Mendelian randomization analyses, integrating data from over 2.46 million participants from various large-scale studies, we established causal links for six blood indicators with COVID-19 risk, five of which is consistent with our observational findings. Specifically, elevated Troponin I and Platelet Distribution Width levels are linked with increased COVID-19 susceptibility, whereas higher Hematocrit, Hemoglobin, and Neutrophil counts confer a protective effect. Reverse MR analysis confirmed four blood biomarkers influenced by COVID-19, aligning with our observational data for three of them. Notably, COVID-19 exhibited a positive causal relationship with Troponin I (Tnl) and Serum Amyloid Protein A, while a negative association was observed with Plateletcrit. These findings may help identify high-risk individuals and provide further direction on the management of COVID‐19. [ABSTRACT FROM AUTHOR]

Background. SARS-CoV-2 induces apoptosis and amplifies the immune response by continuously stressing the endoplasmic reticulum (ER) after invading cells. This study aimed to establish a protein-metabolic pathway associated with ER dysfunction based on the invasion mechanism of SARS-CoV-2. Methods. This study included 17 healthy people and 46 COVID-19 patients, including 38 mild patients and 8 severe patients. Proteomics and metabolomics were measured in the patient plasma collected at admission and one week after admission. The patients were further divided into the aggravation and remission groups based on disease progression within one week of admission. Results. Cross-sectional comparison showed that endoplasmic reticulum molecular chaperone-binding immunoglobulin protein (ERC-BiP), angiotensinogen (AGT), ceramide acid (Cer), and C-reactive protein (CRP) levels were significantly increased in COVID-19 patients, while the sphingomyelin (SM) level was significantly decreased P < 0.05 . In addition, longitudinal comparative analysis found that the temporal fold changes of ERC-BiP, AGT, Cer, CRP, and SM were significantly different between the patients in the aggravation and remission groups P < 0.05 . ERC-BiP, AGT, and Cer levels were significantly increased in aggravation patients, while SM was significantly decreased P < 0.05 . Meanwhile, ERC-BiP was significantly correlated with AGT (r = 0.439; P < 0.001). Conclusions. ERC-BiP can be used as a core index to reflect the degree of ER stress in COVID-19 patients, which is of great value for evaluating the functional state of cells. A functional pathway for AGT/ERC-BiP/glycolysis can directly assess the activation of unfolded protein reactions. The ERC-BiP pathway is closer to the intracellular replication pathway of SARS-CoV-2 and may help in the development of predictive protocols for COVID-19 exacerbation. [ABSTRACT FROM AUTHOR]

Introduction: Chicken eggs and cow's milk are two of the most common foods that cause allergic reactions in infants and young children, and there is a lack of precise diagnostic methods to identify the allergic state of these patients. The recently developed food allergen component-resolved diagnosis (CRD) may be a more accurate diagnosis method for food allergies. Methods: One hundred children sensitized to egg white and milk crude extracts and diagnosed with or suspected allergic disease were included. The specific immunoglobulin E (sIgE) (s) of animal food allergen crude extracts (egg yolk, milk, shrimp, crab, cod, beef) and the main components of egg white and milk were tested. The sensitization characteristics, cross-reactivity, and clinical relevance were analyzed. Results: The results of egg white-sensitized patients showed that ovalbumin (Gal d 2) had the highest positive rate of 100%. Compared with other pairwise combinations of egg allergens, the combination of egg white and Gal d 2 had higher diagnostic accuracy, with an AUC of 0.876 (95% CI: 0.801–0.951), a sensitivity of 88.9%, and a specificity of 75.9%. The positive rates of beta-lactoglobulin (Bos d 5) and alpha-lactoglobulin (Bos d 4) in the milk-sensitized children were comparable, 92% and 91%, respectively. The combination of crude milk extract and Bos d 4 had the highest diagnostic accuracy, with an AUC of 0.969 (95% CI: 0.938–0.999), a sensitivity of 100%, and a specificity of 82.7%. Conclusion: Among these subjects, our study found the main allergenic component of egg white was Gal d 2, and the main allergenic components of milk were Bos d 4 and Bos d 5. CRD may help identify egg/milk allergies and non-allergies. [ABSTRACT FROM AUTHOR]

• Rabies deaths were 13,743.44 (95% uncertainty interval: 6019.13-17,938.53) in 2019. • The global disease burden of rabies had declined over the past 30 years. • The disease burden of rabies was closely related to the sociodemographic index level. Rabies is an acute lethal infectious disease caused by a lyssavirus infection. In 2018, the World Health Organization proposed a global strategic plan to end human rabies deaths by 2030. However, systematic studies on the global rabies disease burden and epidemiological trends are scarce. We extracted the disease burden and epidemiological data of rabies worldwide in the preceding 30 years from the Global Burden of Disease Study 2019 and performed a comprehensive analysis. In 2019, the incident cases of rabies worldwide were 14,075.51 (95% uncertainty interval: 6124.33-21,618.11), and the number of deaths was 13,743.44 (95% uncertainty interval: 6019.13-17,938.53), both of which were lower than that in 1990. With the improvement of the sociodemographic index, the incident cases, the number of deaths, age-standardized incidence rate, age-standardized incidence death rate, and disability-adjusted life years of rabies all showed downward trends. Adolescents and adults aged <50 years represented the majority of rabies cases worldwide. The global disease burden of rabies has declined over the past 30 years. Furthermore, the disease burden of rabies was closely related to the sociodemographic index level. [ABSTRACT FROM AUTHOR]

Mugwort, timothy, and birch are commonly spread pollen allergens across China. Although several studies have described the rates of sensitization to mugwort, timothy, and birch in China, most of them just on specific whole-allergen extracts but little was known about the co-sensitization characteristics of its allergen components. This study aimed to explore the patterns of sensitization to mugwort, timothy, birch, and their major allergen components. Serum specific IgE (sIgE) levels of allergen components of mugwort, timothy, birch, and cross-reactive carbohydrate determinants (CCD) were detected in 160 patients whose serum showed positive results to at least one of mugwort, timothy, and birch allergens via EUROBlotMaster system. Skin prick testing was utilized to assess the allergic reaction of grass, weed, and tree allergens. Latent class analysis was used to identify underlying patterns of sensitization to a series of allergen components and their corresponding extracts. 88.8% of patients with allergic rhinitis and/or asthma were positive for mugwort-sIgE, 30% for timothy-sIgE, and 32.5% for birch-sIgE. By using the LCA model, three sensitization patterns as "Mugwort, Art v 4, Bet v 2 and Phl p 12 co-sensitized", "Timothy, mugwort, and CCD co-sensitized", "Mugwort and Art v 1 co-sensitized" were revealed based on optimal statistical fit in this study. Compared with other clusters, participants in "Mugwort, Art v 4, Bet v 2 and Phl p 12 co-sensitized" pattern were associated with higher sensitization rates of common grass and tree pollens allergen. The spearman's coefficient between CCD and timothy was larger than the corresponding values of CCD with mugwort or birch. CCD and profilin, as minor allergens in pollens, were associated with other pollen sIgE false positives presumably due to cross-reactivity. Patients sensitized with profilin had a significantly higher risk of sensitization to other pollens. • The prevalence of sensitization to weed pollens achieves the highest level, followed by grass and tree pollens. • The spearman's coefficient between CCD and timothy is large than corresponding values of CCD with mugwort or birch. • Profilin and CCD are highly cross-reactive and responsible for skin test reactions to many pollen sources. • In this study, three sensitization patterns were revealed in people who had a positive response to at least one of mugwort, timothy, and birch. • This study provides new insights into better interpretation of multiple allergen sensitization characteristics in China. [ABSTRACT FROM AUTHOR]

The newly identified Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has resulted in a global health emergency (COVID-19) because of its rapid spread and high mortality. Since the virus epidemic, many pathogenic mechanisms have been revealed, and virus-related vaccines have been successfully developed and applied in clinical practice. However, the pandemic is still developing, and new mutations are still emerging. Virus pathogenicity is closely related to the immune status of the host. As innate immunity is the body's first defense against viruses, understanding the inhibitory effect of SARS-CoV-2 on innate immunity is of great significance for determining the target of antiviral intervention. This review summarizes the molecular mechanism by which SARS-CoV-2 escapes the host immune system, including suppressing innate immune production and blocking adaptive immune priming. Here, on the one hand, we devoted ourselves to summarizing the combined action of innate immune cells, cytokines, and chemokines to fine-tune the outcome of SARS-CoV-2 infection and the related immunopathogenesis. On the other hand, we focused on the effects of the SARS-CoV-2 on innate immunity, including enhancing viral adhesion, increasing the rate of virus invasion, inhibiting the transcription and translation of immune-related mRNA, increasing cellular mRNA degradation, and inhibiting protein transmembrane transport. This review on the underlying mechanism should provide theoretical support for developing future molecular targeted drugs against SARS-CoV-2. Nevertheless, SARS-CoV-2 is a completely new virus, and people's understanding of it is in the process of rapid growth, and various new studies are also being carried out. Although we strive to make our review as inclusive as possible, there may still be incompleteness. [ABSTRACT FROM AUTHOR]

• It was the first study to evaluate twice-weekly docetaxel and nedaplatin as radiosensitizers in inoperable ESCC. • The MTD was 5 mg/m2, and the DLTs were esophagitis and increased liver enzymes. • The regimen showed promising radiosentizing effect on in-filed disease control and good tolerability. This phase I trial aimed to determine the maximal tolerated dose (MTD) of incorporating a twice-weekly docetaxel and nedaplatin regimen into definitive concurrent chemoradiotherapy (CCRT) as radiosensitizers in patients with inoperable esophageal squamous cell carcinoma (ESCC). The CCRT regimen included docetaxel (5 mg/m2, 10 mg/m2, or 15 mg/m2) and nedaplatin (5 mg/m2, 10 mg/m2, or 15 mg/m2) twice-weekly based on the traditional 3 + 3 dose escalation strategy, and radiotherapy (64 Gy in 32 fractions). The primary goals were to determine the MTD of concurrent chemotherapy and the dose limiting toxicities (DLTs). In-field objective response rate (ORR) was investigated. Fifteen patients had been recruited and analyzed. DLT involving persistent grade 3 esophagitis over 1 week was observed in all three patients (3/3) at dose level 3 (15 mg/m2), and two patients (2/6) experienced DLTs in the dose level 2 (10 mg/m2) due to esophageal fistula and persistent grade 3 esophagitis over 1 week, while one patient (1/6) treated at dose level 1 (5 mg/m2) exhibited DLT owing to Grade 3 increased liver enzymes, suggesting a MTD of 5 mg/m2. The in-filed ORR was both 100% in all patients and those receiving MTD. The 1-year loco-regional recurrence-free survival rate was 83.3%, 83.3% and 66.7% in dose level 1, 2, and 3, respectively. The MTD of twice-weekly docetaxel and nedaplatin regimen was 5 mg/m2 in inoperable ESCC patients treated with definitive CCRT. Low dose concurrent docetaxel and nedaplatin showed promising radiosensitizing effect on in-filed disease control and good tolerability. [ABSTRACT FROM AUTHOR]

Purpose: The gross tumor volume (GTV) could be an independent prognostic factor for unresectable locally advanced non-small cell lung cancer (LANSCLC). We aimed to develop and validate a novel integrated GTV-TNM stratification system to supplement LANSCLC sub-staging in patients treated with concurrent chemoradiotherapy (CCRT).Methods: We performed a retrospective review of 340 patients with unresectable LANSCLC receiving definitive CCRT. All included patients were divided into two randomized cohorts. Then the Kaplan-Meier method and Cox regression were calculated to access the prognostic value of the integrated GTV-TNM stratification system, which was further validated by the area under the receiver operating characteristic curve (AUC) score and F1-score.Results: The optimal outcome-based GTV cut-off values (70 and 180 cm3) of the modeling cohort were used to determine each patient's integrated GTV-TNM stratum in the whole cohort. Our results indicated that a lower integrated GTV-TNM stratum could had better overall survival and progression-free survival (all P < 0.001), which was recognized as an independent prognostic factor. Also, its prognostic value was robust in both the modeling and validation cohorts. Furthermore, the prognostic validity of the integrated GTV-TNM stratification system was validated by significantly improved AUC score (0.636 vs. 0.570, P = 0.027) and F1-score (0.655 vs. 0.615, P < 0.001), compared with TNM stage.Conclusions: We proposed a novel integrated GTV-TNM stratification system to supplement unresectable LANSCLC sub-staging due to its prognostic value independent of TNM stage and other clinical characteristics, suggesting that it could be considered in individual treatment decision-making process. [ABSTRACT FROM AUTHOR]