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Vitamin D (Vit D) is a fat-soluble molecule acting like a hormone, and it is involved in several biological mechanisms such as gene expression, calcium homeostasis, bone metabolism, immune modulation, viral protection, and neuromuscular functions. Vit D deficiency can lead to chronic hypocalcemia, hyperparathyroidism, and many other pathological conditions; in this context, low and very low levels of 25-hydroxy-vitamin D (25-OH-D) were found to be associated with an increased risk of COVID-19 infection and the likelihood of many severe diseases. For all these reasons, it is important to quantify and monitor 25-OH-D levels to ensure that the serum/blood concentrations are not clinically suboptimal. Serum concentration of 25-OH-D is currently the main indicator of Vit D status, and it is currently performed by different assays, but the most common quantitation techniques involve immunometric methods or chromatography. Nevertheless, other quantitation techniques and instruments are now emerging, such as AFIAS-1 ® and AFIAS-10 ® (Boditech and Menarini) based on the immunofluorescence analyzer, that guarantee an automated system with cartridges able to give quick and reliable results as a point-of-care test (POCT). This work aims to compare AFIAS-1 ® and AFIAS-10 ® (Boditech and Menarini) Vit D quantitation with Ultra High-Performance Liquid Chromatography coupled with tandem mass spectrometry that currently represents the gold standard technique for Vit D quantitation. The analyses were performed in parallel on 56 samples and in different conditions (from fresh and frozen plasma) to assess the reliability of the results. Any statistically significant differences in methods, the fixed error, and the error proportional to concentration were reported. Results obtained in all conditions showed a good correlation between both AFIAS ® instruments and LC-MS/MS, and we can affirm that AFIAS-1 ® and AFIAS-10 ® are reliable instruments for measuring 25-OH-D with accuracy and in a fast manner.

Background: Fosfomycin acts against aerobic Gram-/+ bacteria by blocking the synthesis of peptidoglycan. Its use has been currently re-evaluated for intravenous administration for the treatment of systemic infections by multidrug-resistant bacteria. Concentration-/time-dependent activity has been suggested, with potential clinical advantages from prolonged or continuous infusion. Nevertheless, little is known about Fosfomycin stability in elastomeric pumps. The aim of the present work was stability investigation before administration at 4 °C and during administration at 34 °C., Methods: InfectoFos ® (InfectoPharm s.r.l., Milan, Italy) preparation for intravenous use in elastomeric pumps at 4 °C and 34 °C was analyzed following EMA guidelines for drug stability. Samples were analyzed with an ultra-high performance liquid chromatography coupled with tandem mass spectrometry method on a LX50 ® UHPLC system equipped with a QSight 220 ® (Perkin Elmer, Milan, Italy) tandem mass spectrometer., Results: Fosfomycin in elastomeric preparation is stable for at least 5 days at a storage temperature of 4 °C and 34 °C., Conclusions: The results suggest Fosfomycin eligibility for continuous infusion even in the context of outpatient parenteral antibiotic therapy. Therefore, this approach should be tested in clinical and pharmacokinetic studies, in order to evaluate the possible gains in the pharmacokinetic profile and the clinical effectiveness.

Schizophrenia affects approximately 24 million people worldwide and clozapine is the most effective antipsychotic drug. Nevertheless, its use in therapy is limited due to adverse effects.Therapeutic drug monitoring is a clinical tool useful to reduce the clozapine toxicity. In the literature, papers showed how psychiatric disorders could be associated with low vitamin D levels, but a few studies focusing on its role in affecting clozapine exposure are available. A TDM repository was analyzed: clozapine and vitamin D levels measured with liquid chromatography were considered. 1261 samples obtained from 228 individuals were evaluated: 624 patients (49.5%) showed clozapine plasma levels in therapeutic range (350-600 ng/mL). Clozapine toxic plasma levels (>1000 ng/mL) were more present in winter (p = 0.025), compared to other seasons. Concerning vitamin D, a sub-analysis of 859 samples was performed: 326 (37.81%) were deficient ( ng/mL), 490 (57.12%) had insufficient concentrations (10-30 ng/mL), while 43 (5.02%) had sufficient (>30 ng/mL) levels. A correlation between vitamin D and clozapine plasma levels (p = 0.007, Pearson coefficient=0.093) was observed. The role of seasonal variation in clozapine plasma exposure in psychiatric patients treated with clozapine was suggested. Further studies in larger cohorts are needed in order to clarify these aspects., Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest., (Copyright © 2023 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)

The use of standard protocols in studies supports consistent data collection, improves data quality, and facilitates cross-study analyses. Funded by the National Institutes of Health, the PhenX (consensus measures for Phen otypes and e X posures) Toolkit is a catalog of recommended measurement protocols that address a wide range of research topics and are suitable for inclusion in a variety of study designs. In 2020, a PhenX Working Group of smoking cessation experts followed a well-established consensus process to identify and recommend measurement protocols suitable for inclusion in smoking cessation and smoking harm reduction studies. The broader scientific community was invited to review and provide feedback on the preliminary recommendation of the Working Group. Fourteen selected protocols for measuring smoking cessation, harm reduction, and biomarkers research associated with smoking cessation were released in the PhenX Toolkit ( https://www.phenxtoolkit.org) in February 2021. These protocols complement existing PhenX Toolkit content related to tobacco regulatory research, substance use and addiction research, and other measures of smoking-related health outcomes. Adopting well-established protocols enables consistent data collection and facilitates comparing and combining data across studies, potentially increasing the scientific impact of individual studies., Competing Interests: ☆*Conflict of Interest: None

Background: Therapeutic drug monitoring (TDM) for antibiotic drugs represents a consolidated practice to optimize the effectiveness and to limit the toxicity of specific drugs by guiding dosage adjustments. The comparison of TDM results with drug-specific pharmacokinetic/pharmacodynamic (PK/PD) parameters, based on killing dynamics and bacterial susceptibility, increases the probability of therapeutic success., Purpose: The aim of this study was the analytical validation of a new UHPLC-MS/MS assay for the quantification of 19 antibiotics divided in two different sets considering their chemical/pharmacological properties. This method has been implemented in an analytical LC-MS/MS Kit System by CoQua Lab s.r.l (Turin)., Methods: The analytical validation is developed in accordance with "ICH Harmonized Guideline M10 on bioanalytical method validation and study sample analysis" and "Guidelines for regulatory auditing of quality management system of medical device manufacturers". Method suitability in the clinical context was tested by analysing clinical samples from patients treated with antibiotic drugs., Results: This method allows for simultaneous TDM of the following molecules: dalbavancin, daptomycin, linezolid, tedizolid, levofloxacin, moxifloxacin, meropenem, ertapenem, vaborbactam, avibactam, sulbactam, tazobactam, ceftazidime, ceftriaxone, ceftolozane, ceftobiprole, cefiderocol, ceftaroline and piperacillin. These drugs were quantified showing analytical performance parameters compliant with guidelines in terms of repeatability, reproducibility, robustness, bias, LOD, LOQ and linearity. The method was capable to successfully monitor drug concentrations in 65 samples from 52 patients undergoing treatment., Conclusion: The UHPLC-MS/MS method described in this work can be useful for TDM of the reported antimicrobial agents. The analytical protocol is rapid and suitable to be used in routine analysis., Competing Interests: Conflict of interest statement We wish to draw the attention of the Editor to the following facts which may be considered as potential conflicts of interest and to significant financial contributions to this work. The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Marco Simiele reports a relationship with CoQua Lab srl that includes: equity or stocks. Alessandra Manca reports a relationship with CoQua Lab srl that includes: equity or stocks. Antonio D’Avolio reports a relationship with CoQua Lab srl that includes: equity or stocks., (Copyright © 2023. Published by Elsevier Masson SAS.)

An uncontrolled inflammatory response during SARS-CoV-2 infection has been highlighted in several studies. This seems to be due to pro-inflammatory cytokines whose production could be regulated by vitamin D, ROS production or mitogen-activated protein kinase (MAPK). Several genetic studies are present in the literature concerning genetic influences on COVID-19 characteristics, but there are few data on oxidative stress, vitamin D, MAPK and inflammation-related factors, considering gender and age. Therefore, the aim of this study was to evaluate the role of single nucleotide polymorphisms in these pathways, clarifying their impact in affecting COVID-19-related clinical features. Genetic polymorphisms were evaluated through real-time PCR. We prospectively enrolled 160 individuals: 139 patients were positive for SARS-CoV-2 detection. We detected different genetic variants able to affect the symptoms and oxygenation. Furthermore, two sub-analyses were performed considering gender and age, showing a different impact of polymorphisms according to these characteristics. This is the first study highlighting a possible contribution of genetic variants of these pathways in affecting COVID-19 clinical features. This may be relevant in order to clarify the COVID-19 etiopathogenesis and to understand the possible genetic contribution for further SARS infections.

Selecting and implementing a tissue-clearing protocol is challenging. Established more than 100 years ago, tissue clearing is still a rapidly evolving field of research. There are currently many published protocols to choose from, and each performs better or worse across a range of key evaluation factors (e.g., speed, cost, tissue stability, fluorescence quenching). Additionally, tissue-clearing protocols are often optimized for specific experimental contexts, and applying an existing protocol to a new problem can require a lengthy period of adaptation by trial and error. Although the primary literature and review articles provide a useful starting point for optimization, there is growing recognition that many articles do not provide sufficient detail to replicate or reproduce experimental results. To help address this issue, we have developed a novel, freely available repository of tissue-clearing protocols named T-CLEARE (Tissue CLEAring protocol REpository; https://doryworkspace.org/doryviz). T-CLEARE incorporates community responses to an open survey designed to capture details not commonly found in the scientific literature, including modifications to published protocols required for specific use cases and instances when tissue-clearing protocols did not perform well (negative results). The goal of T-CLEARE is to provide a forum for the community to share evaluations and modifications of tissue-clearing protocols for various tissue types and potentially identify best-in-class methods for a given application.

Cannabinoid derivates have been largely used for different medical purpose. In the literature, several methods capable of separating THC and its principles metabolites are described, although Δ8- and Δ9-THC separation has not been completely achieved. THC metabolism has not been fully understood and metabolites plasma distribution in healthy and pathological patients remains to further deepen. The aim of this study was the validation of UHPLC-MS/MS method for the quantification of 10 cannabinoids in human plasma, as important tool for improving clinical efficacy of cannabis administration. Obtained results were in accordance with recommendations of ICH Harmonised Guideline for bioanalytical method validation, showing a good linearity, optimal accuracy as well as satisfactory results in terms of intra-day and inter-day precision and matrix effect. Furthermore, blood sampling study was performed to investigate the better collection method. Optimal separation of Δ-9-tetrahydrocannabinol (Δ9-THC), Δ8-tetrahydrocannabinol (Δ8-THC) was obtained. The present method showed optimal linearity and satisfactory results in terms of specificity and selectivity. Recovery was between 92.0% and 96.5% for all analytes. The matrix-effect showed good performance; no carry over was observed. Cannabinoid metabolites present in higher plasma concentrations were: 11-Hydroxy-Δ9-tetrahydrocannabinol, 11-Nor-9carboxy-Δ9-tetrahydrocannabinol and THC-COOH-glucuronide. Method performance makes it suitable for routine purposes and a potential tool for therapeutic ranges definition. The present work will be used to test several samples in a long-term clinical study, paving the way for further future works., Competing Interests: Conflict of interest statement The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Alessandra Manca reports a relationship with CoQua Lab srl that includes: equity or stocks. Antonio D’Avolio reports a relationship with CoQua Lab srl that includes: equity or stocks. No patents., (Copyright © 2022 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)

Recent advances in fluorescence microscopy techniques and tissue clearing, labeling, and staining provide unprecedented opportunities to investigate brain structure and function. These experiments' images make it possible to catalog brain cell types and define their location, morphology, and connectivity in a native context, leading to a better understanding of normal development and disease etiology. Consistent annotation of metadata is needed to provide the context necessary to understand, reuse, and integrate these data. This report describes an effort to establish metadata standards for three-dimensional (3D) microscopy datasets for use by the Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative and the neuroscience research community. These standards were built on existing efforts and developed with input from the brain microscopy community to promote adoption. The resulting 3D Microscopy Metadata Standards (3D-MMS) includes 91 fields organized into seven categories: Contributors, Funders, Publication, Instrument, Dataset, Specimen, and Image. Adoption of these metadata standards will ensure that investigators receive credit for their work, promote data reuse, facilitate downstream analysis of shared data, and encourage collaboration., (© 2022. The Author(s).)

The PhenX Toolkit (https://www.phenxtoolkit.org/) is an online catalog of recommended measurement protocols to facilitate cross-study analyses for biomedical research. An expert review panel (ERP) reviewed and updated the PhenX Toolkit Speech and Hearing domain to improve the precision and consistency of speech, language, and hearing disorder phenotypes. A three-member ERP convened in August 2018 to review the measurement protocols in the PhenX Speech and Hearing domain. Aided by three additional experts in voice assessment, vertigo, and stuttering, the ERP updated the 28 protocols to reflect the latest science and technology. ERP recommendations include six new protocols, five updated protocols (from the same source), and one retired protocol. New additions include two voice-related, three hearing-related, and two speech-related protocols. Additions reflect new phone/tablet applications for hearing and language, and clinical evaluations of voice. "Language" was added to the domain name, which is now "Speech, Language, and Hearing," to represent language-related protocols. These protocols can facilitate the assessment of speech, language, and hearing in clinical and population research. Common data elements (i.e., use of the same variables across studies) used by geneticists, otolaryngologists, audiologists, speech-language pathologists, and in other disciplines can lead to cross-study data integration and increased statistical power when studies are combined., (© 2021 Research Triangle Institute. Annals of Human Genetics published by University College London (UCL) and John Wiley & Sons Ltd.)

Purpose: Estimating the overall prevalence of genetic conditions among children in the United States and the burden of these conditions on children and their families has been challenging. The redesigned National Survey of Children's Health provides an opportunity to examine the prevalence and burden., Methods: We used the combined 2016-2017 National Survey of Children's Health to estimate the prevalence of genetic conditions among children aged 0 to 17 years (N = 71,522). Bivariate analyses were used to assess differences in sociodemographic characteristics, health-related characteristics, and health care utilization between children with and without genetic conditions., Results: In 2016-2017, the prevalence of children aged 0 to 17 years with a reported genetic condition was approximately 0.039, roughly equating to 2.8 million children. A greater percentage of children with genetic conditions had a physical (50.9% vs 24.8%), mental (27.9% vs 5.8%), or behavioral/developmental/intellectual condition (55.6% vs 14.4%) than children without a genetic condition. Furthermore, they used more care and had more unmet health needs (7.6% vs 2.9%)., Conclusion: This study provides an estimate of the overall prevalence of children living with genetic conditions in the United States based on a nationally representative sample. It also highlights the physical, mental, and behavioral health needs among children with genetic conditions and their unmet health care needs., Competing Interests: Conflict of Interest All authors declare no conflicts of interest., (Published by Elsevier Inc.)

Purpose: The PhenX Toolkit ( www.phenxtoolkit.org ), an online catalog of recommended measurement protocols, facilitates cross-study analyses for research with human participants. The PhenX Steering Committee recommended genomic medicine implementation as a new research domain, with the following scope: genomic knowledge and education (both patients and providers); implementation science; changes in management and treatment; return of results; patient outcomes; and ethical, legal, and social issues (ELSI) associated with genomic research., Methods: A seven-member expert Working Group convened in October 2019 to identify well-established measurement protocols for a new genomic medicine implementation domain and used the established PhenX consensus process to select measurement protocols for inclusion in the PhenX Toolkit., Results: The Working Group recommended 15 measurement protocols for inclusion in the PhenX Toolkit, with priority given to those with empirical evidence supporting validity. Consortia funded by the National Institutes of Health, and particularly the National Human Genome Research Institute, proved critical in identifying protocols with established utility in this research domain, and identified protocols that were developed through a rigorous process for scope elements that lacked formally validated protocols., Conclusion: Use of these protocols, which were released in September 2020, can facilitate standard data collection for genomic medicine implementation research., (© 2021. The Author(s).)

This study aimed to examine insurance coverage, use of the healthcare system, satisfaction with care, transition from pediatric to adult healthcare services, and social and emotional support for individuals with genetic conditions. In June 2013, the National Genetics Education and Consumer Network surveyed US individuals with genetic conditions about their healthcare experiences. Chi square statistics were used to compare use of the healthcare system, satisfaction, social and emotional support of children (0-17 years) and adults (18 + years) with genetic conditions. There were 1895 valid responses (53.0 % individuals with genetic conditions, 47.0 % parents of these individuals). The findings suggest several potential areas to impact the quality of care received by this population. The majority of respondents reported that they had: (1) more than one health professional they considered to be their personal doctor or nurse (70.5 % children; 57.8 % adults); (2) providers that listened carefully to their needs always or most of the time (82.2 % children; 83.5 % adults); and (3) providers that usually or always involved them as partners in their care (78.4 % children; 66.6 % adults). However, several significant differences around care and support received between children versus adults and areas of need were reported. Most persons surveyed received care from a system of providers that was self- or parent- coordinated and lacked sufficient social and emotional support. Data from this study will inform practice and identifies further research needed to improve care provided to individuals with genetic conditions who require a combination of specialty and primary care.

The need for comprehensive analysis to compare and combine data across multiple studies in order to validate and extend results is widely recognized. This paper aims to assess the extent of data compatibility in the substance abuse and addiction (SAA) sciences through an examination of measure commonality, defined as the use of similar measures, across grants funded by the National Institute on Drug Abuse (NIDA) and the National Institute on Alcohol Abuse and Alcoholism (NIAAA). Data were extracted from applications of funded, active grants involving human-subjects research in four scientific areas (epidemiology, prevention, services, and treatment) and six frequently assessed scientific domains. A total of 548 distinct measures were cited across 141 randomly sampled applications. Commonality, as assessed by density (range of 0-1) of shared measurement, was examined. Results showed that commonality was low and varied by domain/area. Commonality was most prominent for (1) diagnostic interviews (structured and semi-structured) for substance use disorders and psychopathology (density of 0.88), followed by (2) scales to assess dimensions of substance use problems and disorders (0.70), (3) scales to assess dimensions of affect and psychopathology (0.69), (4) measures of substance use quantity and frequency (0.62), (5) measures of personality traits (0.40), and (6) assessments of cognitive/neurologic ability (0.22). The areas of prevention (density of 0.41) and treatment (0.42) had greater commonality than epidemiology (0.36) and services (0.32). To address the lack of measure commonality, NIDA and its scientific partners recommend and provide common measures for SAA researchers within the PhenX Toolkit., (Published by Elsevier Ireland Ltd.)

The Public Health Foundation (PHF), under contract to the U.S. Department of Health and Human Services, Public Health Service (PHS), worked with federal, state, and local public health, mental health, substance abuse, and environmental agencies in nine states to develop and successfully test a methodology for estimating investments in essential public health services. Estimates from the nine-state sample revealed the predominance of personal health expenditures in the public health system. Of total state health care dollars, only 1 percent was spent on population-based health services by participating agencies. This pilot provides a rational starting point toward a uniform methodology for highlighting public health expenditures that may be critical in revealing the effects of a changing health care environment on the nation's health. In combination with other data, results are expected to lead to a more informed policy-making process.