Objective To explore the genes related to the pathogenesis of polycystic ovary syndrome(PCOS)through bioinformatics methods and verify them in ovarian granulosa cells,providing a reference for screening potential molecular markers of PCOS.Methods The GSE34526 and GSE137684 datasets were re-spectively used as the training set and validation set.The inflammation-related genes potentially associated with the onset of PCOS were explored through differential expression analysis and weighted gene co-expres-sion network analysis.Subsequently,their predictive value was verified through the receiver operating charac-teristic(ROC)curve.Thirty patients with PCOS(the PCOS group)and 27 patients without PCOS(the con-trol group)who were treated in Affiliated Hospital of Youjiang Medical University for Nationalities were se-lected as the research objects.RT-qPCR was applied to verify the expression level of core genes in granular cells.Spearman correlation and multiple linear regression were used to analyze the correlation between the ex-pression level of core genes and various clinical parameters,and the ROC curve was used to analyze the diag-nostic efficacy of the expression level of core genes for PCOS.Finally,the protein expression level of core genes was verified on animal models.Results A total of 1 888 differentially expressed genes,89 module-relat-ed genes and 366 inflammatory response-related genes were identified.The core gene phosphatidylinositol-4,5-diphosphate 3-kinase catalytic subunit γ(PIK3CG)was ultimately obtained by taking co-expressed genes and verifying with the ROC curve.RT-qPCR results showed that the expression level of PIK3CG in granulosa cells of the PCOS group was higher than that of the control group(P<0.05).Spearman correlation analysis showed that the expression level of PIK3CG was positively correlated with BMI,testosterone(T),fasting in-sulin(FINS),and insulin resistance index(HOMA-IR,P<0.05).Multivariate linear regression analysis showed that FINS,HOMA-IR and BMI were increased with the increasing of PIK3CG expression level(P<0.05).ROC curve analysis showed that the area under the curve for diagnosing PCOS patients with PIK3CG mRNA expression levels in granulosa cells was 0.659 3.The immunohistochemical results showed that the ex-pression of PIK3CG protein in the ovarian tissues of mice in the PCOS group was significantly increased.Con-clusion PIK3CG may be potentially associated with the pathogenesis of PCOS.

Following the principles of evidence-based medicine,in accordance with the structure and drafting rules of standardized documents,based on literature research,according to the characteristics of chronic cough in children and issues that need to form a consensus,the TCM Guidelines for Diagnosis and Treatment of Chronic Cough in Children was formulated based on the Delphi method,expert discussion meetings,and public solicitation of opinions.The guideline includes scope of application,terms and definitions,eti-ology and diagnosis,auxiliary examination,treatment,prevention and care.The aim is to clarify the optimal treatment plan of Chinese medicine in the diagnosis and treatment of this disease,and to provide guidance for improving the clinical diagnosis and treatment of chronic cough in children with Chinese medicine.

Objective:To construct and validate a risk prediction model for work-related musculoskeletal disorders (WMSDs) among nurses, so as to provide a scientific and objective reference tool for the screening of high-risk groups of WMSDs among nurses.Methods:This study was a cross-sectional study. From March to July 2021, convenience sampling was used to select 1 050 nurses from 25 hospitals in Beijing as the research subject. The risk factors for WMSDs were evaluated by issuing the Musculoskeletal Disease Questionnaire. All survey subjects were randomly divided into the training set ( n=715) and the validation set ( n=304) according to the ratio of 7∶3, and the training set was used to build the model. The predictive ability of the risk model was evaluated using the area under receiver operating characteristic curve (AUC) and the validation set was used for validation. A total of 1 050 questionnaires were distributed and 1 019 valid questionnaires were recovered, with a valid recovery rate of 97.05%. Results:Among 1 019 nurses, the weekly incidence of WMSDs was 84.0% (856/1 019) and the annual incidence was 86.7% (883/1 019) . The neck was the site with the highest incidence of WMSDs, the weekly incidence and annual incidence were 70.3% (716/1 019) and 70.1% (714/1 019) , respectively. The results of multivariate Logistic regression analysis showed that the risk factors of the weekly incidence of WMSDs among nurses included age ≥40 years old ( P<0.001) , tense work atmosphere ( P<0.001) , forward neck posture ( P=0.002) , doing the same job daily ( P=0.039) , needing to dealing with patients ( P=0.012) and keeping the back in the same posture for a long time ( P=0.002) , and the risk factors of the annual incidence of WMSDs among nurses included age ≥40 years old ( P=0.001) , did not participation in safety protection training ( P=0.003) , high education ( P=0.041) , stressful work atmosphere ( P=0.005) , significantly forward neck posture ( P=0.008) , needing to dealing with patients frequently ( P=0.001) , work involving cold or temperature changes ( P=0.017) , insufficient rest time ( P=0.019) , frequent shift change ( P=0.035) , frequent repetition of the same action of the trunk at work ( P=0.025) , hand bending ( P=0.006) . Based on the above screening variables, a nomogram model was established to predict the risk of weekly and annual incidence of WMSDs among nurses, and the AUC values of the model in the training set were 0.794 [95% CI: (0.750-0.838) ] and 0.789 [95% CI: (0.718-0.860) ], respectively. The validation set further confirmed the predictive ability of the nomogram model. The AUC values for predicting the risk of weekly and annual incidence of WMSDs among nurses were 0.782 [95% CI: (0.729-0.835) ] and 0.794 [95% CI: (0.721-0.868) ], respectively. Conclusions:The nomogram model has good predictive ability for the occurrence risk of WMSDs among nurses, which can help to screen high-risk groups and give effective intervention in time.

0.05).Conclusion The 15 STR loci of Miao ethnic group show the characteristics of high polymorphism and hereditary stability.Therefore,the obtained data can be of applicable value in human population of Guangxi Miao genetics investigation,and forensic application,as well as individual identification and parent checkup.