Numerous c-mesenchymal-epithelial transition (c-MET) inhibitors have been reported as potential anticancer agents. However, most fail to enter clinical trials owing to poor efficacy or drug resistance. To date, the scaffold-based chemical space of small-molecule c-MET inhibitors has not been analyzed. In this study, we constructed the largest c-MET dataset, which included 2,278 molecules with different structures, by inhibiting the half maximal inhibitory concentration (IC₅₀) of kinase activity. No significant differences in drug-like properties were observed between active molecules (1,228) and inactive molecules (1,050), including chemical space coverage, physicochemical properties, and absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles. The higher chemical diversity of the active molecules was downscaled using t-distributed stochastic neighbor embedding (t-SNE) high-dimensional data. Further clustering and chemical space networks (CSNs) analyses revealed commonly used scaffolds for c-MET inhibitors, such as M5, M7, and M8. Activity cliffs and structural alerts were used to reveal "dead ends" and "safe bets" for c-MET, as well as dominant structural fragments consisting of pyridazinones, triazoles, and pyrazines. Finally, the decision tree model precisely indicated the key structural features required to constitute active c-MET inhibitor molecules, including at least three aromatic heterocycles, five aromatic nitrogen atoms, and eight nitrogen-oxygen atoms. Overall, our analyses revealed potential structure-activity relationship (SAR) patterns for c-MET inhibitors, which can inform the screening of new compounds and guide future optimization efforts.

Abstract In recent years, the prevalence of overweight and obesity among children and adolescents has risen rapidly, posing a serious threat to their physical and mental health. To provide scientific, systematic, and standardized weight management guidance for overweight and obese children and adolescents, the study focuses on the core concept of healthy lifestyle intervention, integrates multidisciplinary expert opinions and research findings,and proposes a comprehensive multidisciplinary intervention framework covering scientific exercise intervention, precise nutrition and diet, optimized sleep management, and standardized psychological support. It calls for the establishment of a multi agent collaborative management mechanism led by the government, implemented by families, fostered by schools, initiated by individuals, optimized by communities, reinforced by healthcare, and coordinated by multiple stakeholders. Emphasizing a child and adolescent centered approach, the consensus advocates for comprehensive, multi level, and personalized guidance strategies to promote the internalization and maintenance of a healthy lifestyle. It serves as a reference and provides recommendations for the effective prevention and control of overweight and obesity, and enhancing the health level of children and adolescents.

Objective　To understand the impact of early and timely treatment and initial antiviral treatment regimen on mortality and attrition of antiretroviral therapy. Methods A retrospective cohort study was conducted using download data on antiretroviral therapy for HIV-infected patients in Liuzhou City, Guangxi Province, from the database of the Basic Information System for AIDS Control and Prevention (BISAC) from 2010 to 2020. The Cox proportional risk regression model was used to analyze the influencing factors of mortality and attrition. Results A total of 15 713 infected patients were included, including 53.4% aged 18-<50 years, 69.4% male, 61.0% farmer, 75.1% CD4 count <350 cells /μL before initial antiviral treatment, the overall mortality rate was 4.30/100 person-years, and the overall attrition was 2.42/100 person-years. The results of Cox regression analysis showed that the influencing factors of mortality were pretreatment CD4 counts of 350-<500 cells/μL(AHR=0.72, 95%CI: 0.63-0.81) and ≥500 cells/μL (AHR= 0.64, 95%CI: 0.55-0.76); duration from diagnosis to initial antiviral treatment 91-180 days (AHR=1.25, 95%CI: 1.08-1.45), 181-365 days (AHR=1.26, 95%CI: 1.08-1.47), and ≥365 days (AHR=1.26, 95%CI: 1.11-1.44); initial antiviral treatment regimens of D4T+3TC+EFV/NVP (AHR=1.47, 95%CI: 1.32-1.63) and AZT/D4T/TDF+3TC+LPV/r (AHR=1.73, 95%CI: 1.50-1.99). Factors affecting attrition were pretreatment CD4 counts of 350-499 cells/μL (AHR=1.32, 95%CI: 1.16-1.50) and ≥500 cells/μL (AHR=1.28, 95%CI: 1.10-1.50); interval from HIV positivity confirmation to initial dosing ≥365 days (AHR=1.21, 95%CI: 1.04-1.40), initial antiviral treatment regimens of TDF+3TC+NVP (AHR=1.32, 95%CI: 1.13-1.55), AZT+3TC+EFV/NVP (AHR=1.43, 95%CI: 1.26-1.62) and AZT/D4T/TDF+3TC+LPV/r (AHR=1.33, 95CI%: 1.06-1.67). Conclusions　Early and timely treatment and the initial antiviral treatment regimen of TDF+3TC+EFV have good efficacy, but attention should be paid to the high risk of attrition of HIV-infected people with high CD4 count before treatment.

Lymphatic metastasis is the main metastatic route for colorectal cancer, which increases the risk of cancer recurrence and distant metastasis. The properties of the lymph node metastatic colorectal cancer (LNM-CRC) cells are poorly understood, and effective therapies are still lacking. Here, we found that hypoxia-induced fibroblast activation protein alpha (FAPα) expression in LNM-CRC cells. Gain- or loss-function experiments demonstrated that FAPα enhanced tumor cell migration, invasion, epithelial-mesenchymal transition, stemness, and lymphangiogenesis via activation of the STAT3 pathway. In addition, FAPα in tumor cells induced extracellular matrix remodeling and established an immunosuppressive environment via recruiting regulatory T cells, to promote colorectal cancer lymph node metastasis (CRCLNM). Z-GP-DAVLBH, a FAPα-activated prodrug, inhibited CRCLNM by targeting FAPα-positive LNM-CRC cells. Our study highlights the role of FAPα in tumor cells in CRCLNM and provides a potential therapeutic target and promising strategy for CRCLNM.

Objective:To analyze immune reconstitution and influencing factors in HIV infected men who have sex with men (MSM) with access to antiviral therapy (ART) in Guangxi Zhuang Autonomous Region (Guangxi) during 2005-2021.Methods:The data were collected from Chinese Disease Prevention and Control Information System. The study subjects were HIV infected MSM with access to the initial ART for ≥24 weeks in Guangxi from 2005 to 2021 and HIV RNA lower than the detection limit within 24 months. The proportion of infected MSM who had immune reconstitution after ART was calculated. Cox proportional hazard regression model was used to analyze the influencing factors of immune reconstitution. Software SPSS 24.0 was used for statistical analysis.Results:A total of 3 200 HIV infected MSM were enrolled, in whom 15.56 % (498/3 200) had no immune reconstitution, 14.78% (473/3 200) had moderate immune reconstitution, and the rate of complete immune reconstitution was 69.66% (2 229/3 200). The M ( Q1, Q3) of ART time for immune reconstitution was 12 (5, 27) months. Multivariate Cox proportional risk regression model analysis results showed that compared with those with initial ART at age ≥30 years, WHO clinical stage Ⅲ/Ⅳ illness, baseline BMI <18.50 kg/m 2 and baseline CD4 +T lymphocyte (CD4) counts <200 cells/μl, HIV infected MSM with initial ART at age <30 years, WHO clinical stageⅠ/Ⅱ illness, baseline BMI≥24.00 kg/m 2 and baseline CD4 counts ≥200 cells/μl were more likely to have complete immune reconstitution. Conclusions:In the HIV infected MSM in Guangxi, failures to achieve moderate and complete immune reconstitution were observed. Surveillance and ART regimen should be improved for key populations, such as those with older age and low baseline CD4 counts.

Objective To construct a prognosis prediction model of primary liver cancer after surgical treatment based on synthetic minority over-sampling technique(SMOTE)algorithm and machine learning model.Methods A retrospective cohort study was conducted on 4 297 patients with primary liver cancer from the surveillance,epidemiology,and end results(SEER)database.One-Hot Encoding and Multiple Imputation were used to preprocess the collect data,and SMOTE algorithm was employed to solve the imbalance of data categories.The obtained clinical variables were included in the machine learning model.Based on decision tree(DT),random forest(RF),gradient boosting decision tree(GBDT)and eXtreme Gradient Boosting(XGBoost),a prognostic prediction model(SMOTE+DT/RF/GBDT/XGBoost)was build,and then the best prediction model was determined by comparing the performance of various models.Finally,a prognostic analysis system for primary liver cancer was developed based on the optimal model,which was then visualized.Results The combination model SMOTE+RF showed the best predictive performance,with higher area under the curve(0.895),accuracy(0.811)and precision(0.806)than those of other models in receiver operating characteristic curve(ROC)analysis.Conclusion The SMOTE+RF prognostic prediction model can effectively predict the survival outcome of patients with primary liver cancer.

Objective To investigate the cerebellar hemisphere homotopic functional connectivity in patients with concomitant exotropia(CE)based on voxel-mirrored homotopic connectivity(VMHC),aiming to provide a reference basis for the neuropathogenesis of CE.Methods A total of 36 CE patients who visited the Ophthalmology Department of Jian-gxi Provincial People's Hospital from October 2021 to October 2022 were included as the study group(CE group),while healthy volunteers who were recruited from society and matched in age and gender with the CE group were included as the control group(HC group).Subjects in both groups underwent 3.0T functional magnetic resonance imaging scans,and the magnetic resonance data were processed using DPABI_V4.0 software and SPM8 to compare the differences in VMHC values of various brain regions of subjects in the two groups.Results Compared with the HC group,the VMHC values in the cerebellar regions 6,8 and 9 on both sides and vermis cerebelli region 2 of subjects in the CE group were significantly re-duced(all P＜0.05).The difference pattern of VMHC values in cerebellar regions showed that compared with the HC group,the VMHC values in cerebellar regions 6,8,9 and vermis cerebelli region 2 of subjects in the CE group were signifi-cantly different,especially the VMHC value in cerebellar region 9.Conclusion Functional changes in the cerebellar hemisphere,especially in cerebellar hemisphere region 9,play an important role in the pathogenesis of CE,which may be closely related to eye position voxel control and fusion.

Objective:To construct an interactive health care participation program for patients undergoing lower limb bone transport based on the interactive patient participation safety theory framework and the Patient Health Engagement model.Methods:From August to November 2022, through literature review and interviews with patients undergoing lower limb bone transport, a preliminary draft of the interactive health care participation program was developed based on the interactive patient participation safety theory framework and the Patient Health Engagement model. The Delphi method was used to conduct two rounds of consultations with 25 experts to screen and revise the program items.Results:The expert positive coefficients for the two rounds of expert consultations were 92.00% (23/25) and 100.00% (23/23). The authority coefficient was 0.913, and the Kendall's W coefficients for consistency were 0.127 and 0.140 ( P<0.01). The final program included three primary items, 22 secondary items, and 65 tertiary items. Conclusions:The interactive health care participation program for patients undergoing lower limb bone transport constructed in this study is both scientific and practical, can provide a theoretical basis and practical guidance for patient engagement in health care.

Objective:To investigate the effect of salidroside on the proliferation and invasion of prostate cancer PC-3M cells and the possible molecular mechanism.Methods:PC-3M cells were treated with different concentrations (0, 50, 100, 150, 200 nmol/L) of salidroside for 48 h, and MTS assay was used to detect the effect of salidroside on the proliferation of PC-3M cells. The PC-3M cells treated with the most obvious inhibitory effect concentration of salidroside were selected as the salidroside group, and the PC-3M cells treated with 0.9% NaCl were selected as the control group. Transwell assay was used to detect the effect of salidroside on PC-3M cell invasion. The expression difference of LINC01207 between prostate cancer tissues and adjacent tissues was analyzed by using GEPIA database. Real-time quantitative polymerase chain reaction (qRT-PCR) was used to detect the expression of LINC01207 and miR-1182 in PC-3M cells after salidroside treatment. Western blot was used to detect the expressions of proliferation and invasion related proteins in PC-3M cells after salidroside treatment.Results:After treated with 0, 50, 100, 150, and 200 nmol/L salidroside, the absorbance values of prostate cancer PC-3M cells were 0.98±0.17, 0.72±0.08, 0.47±0.10, 0.12±0.03, and 0.42±0.05, respectively, and the difference was statistically significant ( F = 42.02, P < 0.05); and 150 nmol/L salidroside had the most significant inhibitory effect. The salidroside group (150 nmol/L salidroside) was performed to do the subsequent experiment. The invasion number of PC-3M cells in the control group and the salidroside group were (80±11) and (36±13), respectively ( t = 5.15, P < 0.05). GEPIA database online analysis showed that the expression of LINC01207 in prostate cancer tissues was higher than that in paracancerous tissues ( P < 0.01). qRT-PCR results showed that the relative expression level of LINC01207 in PC-3M cells of the control group and the salidroside group was (6.2±1.1) and (1.2±0.7), respectively; and the expression of LINC01207 in PC-3M cells of the salidroside group was lower than that of the control group ( t = 7.88, P < 0.01). The relative expression level of miRNA-1182 was (1.00±0.20) and (7.02±0.35), respectively; the expression of miRNA-1182 in PC-3M cells of the salidroside group was higher than that of the control group ( t = 30.07, P < 0.01). Western blot results showed that after PC-3M cells were treated with salidroside, the expressions of cell proliferation proteins CDK2 and cyclin E decreased; the expressions of cell invasion proteins CD147, matrix metalloproteinases (MMP)-2, MMP-9 decreased. Conclusions:Salidroside inhibits prostate cancer PC-3M cell proliferation and invasion by downregulating LINC01207 expression and activating miRNA-1182 expression.

BackgroundPatients with schizophrenia are at high risk of suffering from metabolic syndrome. Most previous studies on the influencing factors of metabolic syndrome focused on the inpatients and limited ones on patients dwelling in community. ObjectiveTo explore the influencing factors at different risk levels of metabolic syndrome in community-dwelling patients with schizophrenia in Guangzhou， so as to provide references for future interventions on metabolic syndrome in this patient population. MethodsIn November 2021， 3 339 patients with schizophrenia who were registered in and administered by Guangzhou Mental Health Information System were included. All these patients had finished the physical examination in 2020， and whether they had metabolic syndrome was assessed basing on Guideline for the prevention and treatment of type 2 diabetes mellitus in China （2020 edition）. Patients were divided into high-risk group （n=423）， critical group （n=1 524） and metabolic syndrome group （n=1 392） according to the Chinese expert consensus on the management of metabolic syndrome in patients with schizophrenia. Multiple logistic regression analysis were performed on the risk factors of metabolic syndrome in community-dwelling patients with schizophrenia. ResultsThe prevalence rate of metabolic syndrome in community-dwelling patients with schizophrenia was 41.69%. Univariate analysis showed that the results in gender （χ²=44.610）， age （χ²=55.992）， marriage status （χ²=30.755）， illness course （χ²=25.913） and body mass index （χ²=829.265） were significantly different among the three groups （P<0.01）. Kruskal-Wallis H test showed that the levels of waist circumference （H=920.331）， systolic blood pressure （H=436.673）， diastolic blood pressure （H=393.337）， fasting blood glucose （H=807.304）， triglyceride （H=1 134.125） and high-density lipoprotein cholesterol （H=593.615） among the three groups were significantly different （P<0.01）. Logistic regression analysis showed that age ≥50 （OR=1.761， 95% CI： 1.087~2.853）， overweight （OR=2.418， 95% CI： 1.862~3.140） and obesity （OR=57.903， 95% CI： 14.340~233.802） were risk factors contributing to high-risk patients becoming critical population （P<0.05 or 0.01）. Female gender （OR=1.295， 95% CI： 1.034~1.622）， aged 40~49 （OR=2.597， 95% CI： 1.582~4.263）， age ≥50 （OR=4.392， 95% CI： 2.609~7.395）， overweight （OR=7.844， 95% CI： 6.018~10.223） and obesity （OR=426.785， 95% CI： 105.724~1 722.839） were risk factors for high-risk patients developing into metabolic syndrome population （P<0.05 or 0.01）. ConclusionThe prevalence rate of metabolic syndrome is higher in community-dwelling patients with schizophrenia. Female gender， older age， overweight and obesity would increase the risk of metabolic syndrome in schizophrenic patients. ［Funded by Health Science and Technology Project in Guangzhou （number， 20221A010028）］