Objective : To identify autophagy-related genes involved in pulmonary infection caused by the highly drug-resistant and virulent methicillin-resistant Staphylococcus aureus strain USA300 ( USA300) ，and to explore the underlying molecular mechanisms ， thereby providing potential targets for immunotherapy． Methods: The GSE220943 dataset of a USA300-induced pulmonary infection mouse model was obtained from the GEO database． Differentially expressed genes ( DEGs ) were identified using the DESeq2 package． Autophagy-related genes ( ARGs) were retrieved from the MSigDB and Autophagy databases．Weighted gene co-expression network analysis ( WGCNA) was performed to construct gene co-expression modules．Genes overlapping among DEGs，ARGs，and WGCNA modules were identified as autophagy-related DEGs．Gene Ontology ( GO) enrichment analysis was con- ducted using the clusterProfiler R package，while Kyoto Encyclopedia of Genes and Genomes ( KEGG) pathway en- richment analysis was performed via the Metascape platform．Immune cell infiltration was analyzed using the Immu- CellAI-mouse website．A protein - protein interaction ( PPI) network was constructed using the STRING database， and hub genes were identified through topological analysis in Cytoscape． Receiver operating characteristic curve ( ROC) curves were plotted via the website https: / /www．bioinformatics．com．cn． Finally，key gene expression was validated in mouse lung tissues by real-time quantitative reverse transcription PCR ( RT-qPCR) ． Results: A total of 6 135，4 075，3 680，and 2 342 differentially expressed genes ( DEGs) were identified at 12，24，48，and 96 hours post-infection，respectively．By integrating DEGs，autophagy-related genes ( ARGs) ，and WGCNA mod- ules，19 autophagy-related DEGs were identified． GO and KEGG enrichment analyses indicated that these genes were mainly involved in CD4 + T cell activation and regulation，innate immune responses，and autophagosome mem- brane formation．Immune infiltration analysis revealed that innate immune cells such as neutrophils and dendritic cells predominated during the early phase of infection，while γδ T cells and M2 macrophages became more promi- nent in the later stages．PPI network analysis identified 12 hub autophagy-related genes，among which three upreg- ulated key genes ( Eif2ak2，Ikbke，and Nfkbiz) were further confirmed．The area under the ROC curve for all three genes was 1. 000．RT-qPCR validation demonstrated significantly elevated expression of these three genes in lung tissues at 24 hours post-infection ( all P＜0. 05) ． Conclusion Eif2ak2，Ikbke，and Nfkbiz may be involved in the pulmonary infection caused by USA300 by promoting autophagy and hold promise as potential targets for immuno- therapy．

Objective: This study aimed to explore the relationships between various exercise components (frequency, intensity, duration) and social anxiety. Methods: A sample of 844 college students in China participated in this study. The Physical Activity Rating Scale-3 assessed participants’ daily physical activity. Social anxiety levels were measured using the Liebowitz Social Anxiety Scale. A questionnaire was developed to collect demographic information and examine the relationships between exercise components and social anxiety levels. Results: One-way analysis of variance revealed significant differences in social anxiety levels across varying physical activity intensities. Specifically, students engaging in high levels of physical activity exhibited the lowest social anxiety. Post hoc analyses identified that exercise frequency F3 (p<0.01), exercise duration D5 (p<0.01), and exercise intensity I3 (p<0.01) were significantly associated with the lowest social anxiety levels. Among these components, regression analysis indicated that exercise duration (p<0.01) had the most substantial impact on social anxiety levels, followed by exercise frequency (p<0.05). In contrast, exercise intensity (p>0.05) did not significantly affect social anxiety levels. Conclusion The most influential factors associated with decreased social anxiety were: 1) moderate to high exercise intensity, 2) exercise duration of at least one hour, and 3) exercise frequency of at least 1–2 times per week. Among these factors, exercise duration and frequency demonstrated significantly stronger associations with reduced social anxiety. Therefore, it is advisable to prioritize exercise duration and frequency in physical activity programs for college students to reduce social anxiety and achieve more substantial outcomes.

Objective: This study aimed to explore the relationships between various exercise components (frequency, intensity, duration) and social anxiety. Methods: A sample of 844 college students in China participated in this study. The Physical Activity Rating Scale-3 assessed participants’ daily physical activity. Social anxiety levels were measured using the Liebowitz Social Anxiety Scale. A questionnaire was developed to collect demographic information and examine the relationships between exercise components and social anxiety levels. Results: One-way analysis of variance revealed significant differences in social anxiety levels across varying physical activity intensities. Specifically, students engaging in high levels of physical activity exhibited the lowest social anxiety. Post hoc analyses identified that exercise frequency F3 (p<0.01), exercise duration D5 (p<0.01), and exercise intensity I3 (p<0.01) were significantly associated with the lowest social anxiety levels. Among these components, regression analysis indicated that exercise duration (p<0.01) had the most substantial impact on social anxiety levels, followed by exercise frequency (p<0.05). In contrast, exercise intensity (p>0.05) did not significantly affect social anxiety levels. Conclusion The most influential factors associated with decreased social anxiety were: 1) moderate to high exercise intensity, 2) exercise duration of at least one hour, and 3) exercise frequency of at least 1–2 times per week. Among these factors, exercise duration and frequency demonstrated significantly stronger associations with reduced social anxiety. Therefore, it is advisable to prioritize exercise duration and frequency in physical activity programs for college students to reduce social anxiety and achieve more substantial outcomes.

Objective: This study aimed to explore the relationships between various exercise components (frequency, intensity, duration) and social anxiety. Methods: A sample of 844 college students in China participated in this study. The Physical Activity Rating Scale-3 assessed participants’ daily physical activity. Social anxiety levels were measured using the Liebowitz Social Anxiety Scale. A questionnaire was developed to collect demographic information and examine the relationships between exercise components and social anxiety levels. Results: One-way analysis of variance revealed significant differences in social anxiety levels across varying physical activity intensities. Specifically, students engaging in high levels of physical activity exhibited the lowest social anxiety. Post hoc analyses identified that exercise frequency F3 (p<0.01), exercise duration D5 (p<0.01), and exercise intensity I3 (p<0.01) were significantly associated with the lowest social anxiety levels. Among these components, regression analysis indicated that exercise duration (p<0.01) had the most substantial impact on social anxiety levels, followed by exercise frequency (p<0.05). In contrast, exercise intensity (p>0.05) did not significantly affect social anxiety levels. Conclusion The most influential factors associated with decreased social anxiety were: 1) moderate to high exercise intensity, 2) exercise duration of at least one hour, and 3) exercise frequency of at least 1–2 times per week. Among these factors, exercise duration and frequency demonstrated significantly stronger associations with reduced social anxiety. Therefore, it is advisable to prioritize exercise duration and frequency in physical activity programs for college students to reduce social anxiety and achieve more substantial outcomes.

Objective: This study aimed to explore the relationships between various exercise components (frequency, intensity, duration) and social anxiety. Methods: A sample of 844 college students in China participated in this study. The Physical Activity Rating Scale-3 assessed participants’ daily physical activity. Social anxiety levels were measured using the Liebowitz Social Anxiety Scale. A questionnaire was developed to collect demographic information and examine the relationships between exercise components and social anxiety levels. Results: One-way analysis of variance revealed significant differences in social anxiety levels across varying physical activity intensities. Specifically, students engaging in high levels of physical activity exhibited the lowest social anxiety. Post hoc analyses identified that exercise frequency F3 (p<0.01), exercise duration D5 (p<0.01), and exercise intensity I3 (p<0.01) were significantly associated with the lowest social anxiety levels. Among these components, regression analysis indicated that exercise duration (p<0.01) had the most substantial impact on social anxiety levels, followed by exercise frequency (p<0.05). In contrast, exercise intensity (p>0.05) did not significantly affect social anxiety levels. Conclusion The most influential factors associated with decreased social anxiety were: 1) moderate to high exercise intensity, 2) exercise duration of at least one hour, and 3) exercise frequency of at least 1–2 times per week. Among these factors, exercise duration and frequency demonstrated significantly stronger associations with reduced social anxiety. Therefore, it is advisable to prioritize exercise duration and frequency in physical activity programs for college students to reduce social anxiety and achieve more substantial outcomes.

Objective: This study aimed to explore the relationships between various exercise components (frequency, intensity, duration) and social anxiety. Methods: A sample of 844 college students in China participated in this study. The Physical Activity Rating Scale-3 assessed participants’ daily physical activity. Social anxiety levels were measured using the Liebowitz Social Anxiety Scale. A questionnaire was developed to collect demographic information and examine the relationships between exercise components and social anxiety levels. Results: One-way analysis of variance revealed significant differences in social anxiety levels across varying physical activity intensities. Specifically, students engaging in high levels of physical activity exhibited the lowest social anxiety. Post hoc analyses identified that exercise frequency F3 (p<0.01), exercise duration D5 (p<0.01), and exercise intensity I3 (p<0.01) were significantly associated with the lowest social anxiety levels. Among these components, regression analysis indicated that exercise duration (p<0.01) had the most substantial impact on social anxiety levels, followed by exercise frequency (p<0.05). In contrast, exercise intensity (p>0.05) did not significantly affect social anxiety levels. Conclusion The most influential factors associated with decreased social anxiety were: 1) moderate to high exercise intensity, 2) exercise duration of at least one hour, and 3) exercise frequency of at least 1–2 times per week. Among these factors, exercise duration and frequency demonstrated significantly stronger associations with reduced social anxiety. Therefore, it is advisable to prioritize exercise duration and frequency in physical activity programs for college students to reduce social anxiety and achieve more substantial outcomes.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

Mass spectrometry imaging(MSI)is an emerging high-tech"photography"method combining mass spectrometry and image visualization technologies,which can simultaneously monitor the spatial distribution of multiple molecules in biological samples.In recent years,the characteristics of this tech-nology have been used to visually study the distribution of drugs in hair,among which matrix-assisted laser desorption ionization-mass spectrometry imaging(MALDI-MSI)technology has been most widely applied in hair analysis.Based on the principle of MALDI-MSI technology,this paper discusses the key technical elements of MALDI-MSI technology applied to hair analysis and reviews the research achievements of MSI in hair analysis.It concludes that improving the ionization efficiency,resolution,sensitivity and stability of MALDI-MSI technology remains the future exploration direction,and simpli-fying data analysis and establishing databases will help promote MALDI-MSI as a routine analytical technique for hair analysis.

Objective To establish and optimize an in vitro incubation system with human liver micro-somes and investigate the in vitro metabolites and possible metabolic pathways of mirtazapine.Methods Three major metabolites of mirtazapine were selected to optimize the incubation conditions of liver mi-crosomes.The metabolites of mirtazapine were analyzed by liquid chromatography-high resolution mass spectrometry(LC-HRMS)to identify the in vitro metabolites and metabolic pathways of mir-tazapine.Results Ten metabolites,including nine phase Ⅰ metabolites and one phase Ⅱ metabolite,were identified in the in vitro liver microsome incubation.Among them,five new metabolites and one new metabolic pathway were discovered.The pathways involved in phase Ⅰ metabolic included methyla-tion,hydroxylation,oxidation,reduction,etc.,while the phase Ⅱ biotransformation was mainly glucuroni-dation.Conclusion The metabolites discovered in this study are consistent with the main metabolites of mirtazapine reported in literature,which are N-desmethylmetazapine,8-hydroxy mirtazapine and mirtazapine-N-oxide.The results can provide basis for the confirmation of mirtazapine cases and pro-vide reference for the study of other substances.