Objective To investigate the relationship between biological aging and the rate of cognitive decline in middle-aged and elderly populations.Methods Longitudinal tracking data of cognitive function were obtained from the China Health and Retirement Longitudinal Study(CHARLS).We employed the Klemera and Doubal method(KDM)to estimate biological age(BA),and calculate the biological aging index(BAI)and biological aging type(BAT).A multivariate linear regression model was employed to analyze the relationships between baseline BAI,BAT,and cognitive function scores.Based on the baseline analysis,a mixed-effects model was used to examine the longitudinal associations between baseline BAI,BAT,and cognitive function during follow-up.Results A total of 5 897 participants were included in the study.BAI was found to be negatively associated with baseline cognitive function scores,with the partial regression coefficient(β)(95％CI)being-0.185(—0.231,—0.139)(P＜0.001).Compared with the lagged aging group,the premature aging group had lower cognitive function scores(β[95％CI]:—0.741[—0.966,—0.516]).For age and sex,for each additional year of baseline BAI,cognitive function scores declined by an average of 0.012(95％CI:—0.019,—0.005)points per year after adjusting for age and sex,and declined by 0.011(95％CI:—0.018,—0.004)points per year after adjusting for other covariates.Compared with participants with lagged aging,those with premature aging experienced,on average,an additional decline of 0.042(95％CI:—0.075,0.009)points per year in cognitive function scores after adjusting for age and sex alone,and by 0.039(95％CI:—0.072,—0.007)points per year after adjusting for other covariates.Conclusion Biological aging affects the rate of cognitive decline in middle-aged and elderly populations.A higher BAI is associated with a faster decline in cognitive function.Compared with those with lagged aging,individuals with premature aging exhibit a more rapid rate of cognitive decline.

Objective To investigate the causal relationship between hyperthyroidism and systemic lu-pus erythematosus(SLE).Methods According to the current summary data of genome-wide association studies(GWAS),the screened single nucleotide polymorphism(SNP)was selected as the instrumental varia-bles,hyperthyroidism served as the exposure factor and SLE as the outcome variable,and the Mendelian ran-domization analysis(MR)analysis method was used for conducting the study.Among them,the inverse vari-ance weighting(IVW)was the main MR analysis method,the MR-Egger regression method was used to the test for horizontal pleiotropy,and the sensitivity adopted the leave-one-method test,and the MR results con-ducted the visualized analysis by scatter plot,forest plot and funnel plot.Results Ten valid SNP were screened.In the MR analysis,IVW supported a causal relationship between hyperthyroidism and SLE(OR=1.838,95%CI:1.302-2.593,P<0.001);the MR-egger regression method supported the relationship be-tween hyperthyroidism and SLE(OR=4.070,95%CI:1.961-8.449,P=0.003);in addition,the weighted median method also supported the relationship between hyperthyroidism and SLE(OR=1.685,95%CI:1.238-2.294,P<0.001).Conclusion There appears to be a causal relationship between hyperthyroidism and SLE.

Methods: After screening the dataset provided in the published literature, this study included 495 CHMs and their 8 075 compounds. Three molecular descriptors were used to represent the compounds: the molecular access system (MACCS), extended connectivity fingerprint (ECFP), and two-dimensional (2D) molecular descriptors computed by the RDKit open-source toolkit (RDKit_2D). A homogeneous graph with CHMs as nodes was constructed and a classification model for the cold and hot medicinal properties of CHMs was developed based on a GCN using the molecular descriptor information of the compounds as node features. Finally, using accuracy and F1 score to evaluate model performance, the GCN model was experimentally compared with the traditional machine learning approaches, including decision tree (DT), random forest (RF), k-nearest neighbor (KNN), Naïve Bayes classifier (NBC), and support vector machine (SVM). MACCS, ECFP, and RDKit_2D molecular descriptors were also adopted as features for comparison. Results: The experimental results show that the GCN achieved better performance than the traditional machine learning approach when using MACCS as features, with the accuracy and F1 score reaching 0.836 4 and 0.845 3, respectively. The accuracy and F1 score have increased by 0.8690 and 0.8120, respectively, compared with the lowest performing feature combination OMER (only the combination of MACCS, ECFP, and RDKit_2D). The accuracy and F1 score of DT, RF, KNN, NBC, and SVM are 0.505 1 and 0.501 8, 0.616 2 and 0.601 5, 0.676 8 and 0.624 3, 0.616 2 and 0.607 1, 0.636 4 and 0.622 5, respectively. Conclusion In this study, by introducing molecular descriptors as features, it is verified that molecular descriptors and fingerprints play a key role in classifying the cold and hot medicinal properties of CHMs. Meanwhile, excellent classification performance was achieved using the GCN model, providing an important algorithmic basis for the in-depth study of the “structure-property” relationship of CHMs.

Immune Checkpoint Inhibitors ; Transcriptome ; Immunotherapy ; Biomarkers, Tumor

Objective: To investigate the factors influencing the development of gastric cancer in Chinese populations, so as provide insights into creating a model for predicting gastric cancer incidence among Chinese populations. Methods: The case-control and cohort studies pertaining to factors affecting the development of gastric cancer were retrieved in electronic Chinese and English databases, including CNKI, Wanfang Data, VIP, PubMed, Web of Science and Embase from their inception until September 30, 2021. A meta-analysis was performed using R package version 4.1.0. Sensitivity analysis was performed using the “leave-one-out” evaluation procedure, and the publication bias was evaluated using the Egger regression test and the trim-and-fill procedure. Results: A total of 5 301 publications were screened and 116 eligible studies were included in the final analysis, including 103 case-control studies and 13 cohort studies, which covered approximately 3.23 million study subjects. A total of 45 factors affecting the development of gastric cancer were collected, and there were less than 4 publications reporting 7 factors, which were only qualitatively described. There were 38 factors included in the final meta-analysis. A total of 21 factors were identified as risk factors of gastric cancer, including a history of gastrointestinal diseases (pooled OR=4.85, 95%CI: 3.74-6.29), H. pylori infection (pooled OR=3.18, 95%CI: 2.35-4.32), binge eating and drinking (pooled OR=2.88, 95%CI: 2.09-3.97) and a family history of tumors (pooled OR=2.78, 95%CI: 2.17-3.56), and 10 factors as protective factors, including vegetable intake (pooled OR=0.48, 95%CI: 0.38-0.61), tea consumption (pooled OR=0.55, 95%CI: 0.47-0.64), administration of aspirin (pooled OR=0.53, 95%CI: 0.31-0.92) and administration of statins (pooled OR=0.59, 95%CI: 0.44-0.80). Sensitivity analyses of eating moldy food frequently, white meat intake, favoring spicy food and administration of sulfonylureas were not robust. Following correction with the trim-and-fill procedure, there was still a publication bias pertaining to high income, diabetes, administration of stains, alcohol consumption, tea consumption and white meat intake. Conclusions The development of gastric cancer is associated with a medical history of gastrointestinal disease, H. pylori infection, family history of tumors and poor dietary habits. Risk and protective factors of gastric cancer are recommended to be included in models used to predict gastric cancer incidence among Chinese populations.

Objective:To explore the association between lifestyle-related factors and colorectal adenoma.Methods:Based on the Screening Project of Early Diagnosis and Treatment of Colorectal Cancer in Jiashan county Zhejiang province, from August 2012 to March 2018, information gathered through records on questionnaire and colonoscopic diagnosis were collected from participants with positive results during the primary screening stage. According to the findings of colonoscopy, 11 232 controls without any colorectal diseases and 3 895 cases with colorectal adenoma were included in the study. Multivariate logistic regression models were used to analyze the association between lifestyle-related factors and colorectal adenoma.Results:After adjusting for possible confounding factors, results from multivariate logistic regression analysis showed that smoking, alcohol drinking and obesity were positively related to the risk of colorectal adenoma, with ORs (95 %CIs) as 1.38 (1.24-1.54), 1.37 (1.24-1.51) and 1.38 (1.20-1.59) respectively. However, regular aspirin intake was negatively related with the risk of colorectal adenoma ( OR=0.65, 95 %CI: 0.53-0.80). After stratified by sex and age, data showed that the associations between smoking, alcohol drinking and colorectal adenoma were statistically significant in males, and the association between regular aspirin intake and colorectal adenoma was also statistically significant in older participants (aged 60 years and older). Conclusion:Smoking, alcohol drinking, regular aspirin intake and obesity were associated with colorectal adenoma.

Objective:To evaluate the impact of colonoscopy on the incidence of colorectal cancer (CRC).Methods:This study was based on the Screening Project of Early Diagnosis and Treatment of CRC in Jiashan county, Zhejiang province. After excluding participants with incomplete information, these with individual history of CRC, those with CRC, enteritis or ulcer, noticed through colonoscopy exam at baseline, a total of 25 894 participants were finally included. Cox proportional hazards regression model was used to analyze the association between colonoscopy and the incidence of CRC.Results:This study was followed up for 160 113 person-years with a median of 5.67 years. During the follow-up period, 127 of them developed the CRC. The incidence rates of CRC in participants, were 202.35 per 100 000 person-years, 40.93 per 100 000 person-years and 63.62 per 100 000 person-years, respectively among the following three groups: who did not take the colonoscopy, without colorectal lesions or with benign colorectal lesions noticed by the colonoscopy and the differences were statistically significant ( P<0.05). After adjusting for potential confounding factors, the HRs(95 %CI) of CRC were 0.24 (0.16-0.36) and 0.29 (0.17-0.49), among those who did not have or had colorectal lesions in the participants who underwent the colonoscopy. Stratified by anatomic site, age and sex, results showed that the associations among the aforementioned groups were relatively stable. Conclusion:Colonoscopy could effectively contribute to the reduction of CRC incidence in the high-risk population.

Objective: To investigate the pharmacodynamics of modified Xiaochaihutang granules (MXG) and its active ingredients group (AIG) on gastric ulcer in order to provide scientific basis for the clinical effect and lay foundation for the development of related hospital preparations.Methods: Gastric ulcer models induced by pyloric ligation,acetic acid and ethanol were applied to observe the curative effects of MXG and its AIG, and the effects of MXG and its AIG on gastric secretion, gastric acid content, pepsin activity, superoxide dismutase (SOD) and malondialdehyde(MDA) contents were also studied.Results: Compared to the model control group,MXG and AIG could significantly reduce the ulcer index(P<0.01), total acidity(P<0.01),and pepsin activity (P<0.05 or 0.01), increase the SOD activity (P<0.05)and inhibit the increase of lipid peroxide MDA.Conclusion: MXG and AIG show better control effects on acute and chronic gastric ulcer, and the effects are related to reducing the activity of pepsin, increasing the SOD activity, inhibiting the increase of lipid peroxide MDA and so on.

Objective To study the application value of MSCT in preoperative evaluation of rectal cancer before surgery.Methods Clinical materials of 146 patients with colonoscopy and clinical proved rectal cancer were recruited.MSCT were performed with plain and triphasic dynamic contrast enhancement before surgery.The value of MSCT was evaluated by comparing the results of pre-operative evaluation with the surgical results.Results 130 cases accepted surgical treatment:3 cases of transanal local excision,28 cases of Miles operation,3 cases of Hartmann operation,96 cases of Dixon.Preoperative evaluation of MSCT:33 cases of Miles,4 cases of Hartmann,88 cases of Dixon,5 cases of local excision of the anus.The accuracy on MSCT preoperative evaluation was 84.62%. MSCT preoperative evaluation consistency was consistent with postoperative outcome(k=0.653,χ2=225.352,P=0.000).Conclu-sion It is high accuracy for MSCT in preoperative evaluation of rectal cancer,and it can provide important significance for preopera-tive selection of surgical procedures.

With the increase of the number of floating population,the proportion of female floating population in the total number of mobile population is also growing.Most of the female floating population is at the age of childbearing age,and their lack of knowledge of reproductive health and incorrect attitude and behavior is one of the main reasons for their not optimistic reproductive health status.This paper mainly analyzes the current status of reproductive health knowledge and behavior of female floating population and its influencing factors,so as to provide theoretical basis for improving the reproductive health of female migrant population in the future.