OBJECTIVE To evaluate the clinical comprehensive value of four Chinese patent medicines （Xuezhikang， Zhibitai， Zhibituo， Jiangzhiling） in the treatment of hyperlipidemia， and provide a reference for rational clinical drug use. METHODS A clinical comprehensive evaluation index system was established in accordance with the Evidence and Value： Impact on Decision-Making （EVIDEM） framework and Technical Guideline for Clinical Comprehensive Evaluation of Cardiovascular Drugs （2022 edition， trial implementation）. CNKI， Wanfang data， VIP， PubMed， ScienceDirect， Embase and official websites were retrieved to collect the literature such as drug instructions， guidelines and consensus statements， and systematic reviews/meta-analyses for the four Chinese patent medicines. A comprehensive evaluation was conducted from seven dimensions： effectiveness， safety， economy， suitability， accessibility， innovation and characteristics of traditional Chinese medicine. RESULTS This evaluation index system included 7 first-level indicators， 15 second-level indicators and 30 third-level indicators. Xuezhikang achieved the highest comprehensive evaluation score of 81.4 points， and was classified as class Ⅰ recommendation. Zhibitai with 76.0 points and Zhibituo with 60.9 points were both classified as class Ⅱ recommendation. Jiangzhiling with 48.8 points was classified as class Ⅳ recommendation. CONCLUSIONS Xuezhikang demonstrates the optimal clinical comprehensive value for treating hyperlipidemia. Zhibitai exhibits certain advantages in terms of safety and characteristics of traditional Chinese medicine； Zhibituo shows a moderate performance in all aspects； Jiangzhiling has a relatively low score. Appropriate medicines can be selected clinically according to actual conditions and patients’ characteristics.

BACKGROUND:Studies have shown that rheumatoid arthritis and osteoporosis are positively correlated,but the causal relationship and related mechanisms have not yet been confirmed.With the cross-fertilization of computer science and life sciences,Mendelian randomization and bioinformatics analyses based on genome-wide association study(GWAS)and transcriptome sequencing data can assess the causal relationship between two diseases,explore the related mechanisms,and mine the therapeutic targets,which will be beneficial to the precision treatment of rheumatoid arthritis combined with osteoporosis.OBJECTIVE:To explore the causal relationship between rheumatoid arthritis and osteoporosis using two-sample Mendelian randomization and to mine potential co-morbid targets and potential targeted drugs through summary-data-based Mendelian randomization and bioinformatics analyses,aiming to provide theoretical basis for mechanism exploration and precision treatment in the field of rheumatoid arthritis combined with osteoporosis.METHODS:(1)Firstly,GWAS data of rheumatoid arthritis,osteoporosis,and cis-expression quantitative trait locus(cis-eQTL)in Asian and European populations were downloaded from the GWAS Catalog,IEU Open GWAS,FinnGen,and eQTLGen databases,and were used for two-sample Mendelian randomization analysis and summary-data-based Mendelian randomization analysis.(2)Transcriptome sequencing data of rheumatoid arthritis(GSE93272 and GSE15573)were downloaded from the GEO database for bioinformatics analysis.(3)Subsequently,forward and inverse Mendelian randomization analyses between rheumatoid arthritis and osteoporosis were performed,and inverse variance weighted was used as the main metric for the analyses,and the results were corroborated with MR Egger,simple mode,weighted median and weighted mode.(4)Then,the genes closely related to rheumatoid arthritis and osteoporosis were identified based on the summary-data-based Mendelian randomization analysis,and the co-disease targets of rheumatoid arthritis and osteoporosis were mined based on cross-analysis.Meanwhile,the biological functions of the co-morbid targets were verified based on bioinformatics analysis and cellular experiments.(5)In addition,a rheumatoid arthritis risk prediction nomogram was constructed based on DYRK2,and its prediction performance was verified by receiver operating characteristic curve,correction curve and decision curve.Finally,the target potential drugs were mined based on Enrichr database and molecular docking was performed.RESULTS AND CONCLUSION:(1)Forward Mendelian randomization analysis of rheumatoid arthritis and osteoporosis showed statistically significant results except for GCST90044540 and GCST90086118,and all other results indicated a significant causal relationship and positive correlation between rheumatoid arthritis and osteoporosis.(2)Inverse Mendelian randomization analysis suggested that no significant causal relationship was seen between osteoporosis and rheumatoid arthritis.(3)Summary-data-based Mendelian randomization analysis identified a total of 412 and 344 genes positively associated with rheumatoid arthritis and osteoporosis,and 421 and 347 genes negatively associated.Based on the cross-analysis,26 co-morbid genes were subsequently obtained.Among them,DYRK2 was a potential therapeutic target,and subsequent bioinformatics analysis and cellular experiments confirmed its important role in the progression of rheumatoid arthritis and osteoporosis.(4)Furthermore,the constructed nomogram has excellent predictive performance.Finally,four potential DYRK2-targeting drugs(undecanoic acid,metyrapone,JNJ-38877605,and ACA)were discovered and molecular docking also demonstrated reliable targeting ability.(5)In conclusion,based on GWAS data from Asian and European populations,we successfully demonstrated that rheumatoid arthritis and osteoporosis are causally related at the genetic level,DYRK2 is a potential therapeutic target,and four small molecules are potential target drugs.

BACKGROUND:Studies have shown that rheumatoid arthritis and osteoporosis are positively correlated,but the causal relationship and related mechanisms have not yet been confirmed.With the cross-fertilization of computer science and life sciences,Mendelian randomization and bioinformatics analyses based on genome-wide association study(GWAS)and transcriptome sequencing data can assess the causal relationship between two diseases,explore the related mechanisms,and mine the therapeutic targets,which will be beneficial to the precision treatment of rheumatoid arthritis combined with osteoporosis.OBJECTIVE:To explore the causal relationship between rheumatoid arthritis and osteoporosis using two-sample Mendelian randomization and to mine potential co-morbid targets and potential targeted drugs through summary-data-based Mendelian randomization and bioinformatics analyses,aiming to provide theoretical basis for mechanism exploration and precision treatment in the field of rheumatoid arthritis combined with osteoporosis.METHODS:(1)Firstly,GWAS data of rheumatoid arthritis,osteoporosis,and cis-expression quantitative trait locus(cis-eQTL)in Asian and European populations were downloaded from the GWAS Catalog,IEU Open GWAS,FinnGen,and eQTLGen databases,and were used for two-sample Mendelian randomization analysis and summary-data-based Mendelian randomization analysis.(2)Transcriptome sequencing data of rheumatoid arthritis(GSE93272 and GSE15573)were downloaded from the GEO database for bioinformatics analysis.(3)Subsequently,forward and inverse Mendelian randomization analyses between rheumatoid arthritis and osteoporosis were performed,and inverse variance weighted was used as the main metric for the analyses,and the results were corroborated with MR Egger,simple mode,weighted median and weighted mode.(4)Then,the genes closely related to rheumatoid arthritis and osteoporosis were identified based on the summary-data-based Mendelian randomization analysis,and the co-disease targets of rheumatoid arthritis and osteoporosis were mined based on cross-analysis.Meanwhile,the biological functions of the co-morbid targets were verified based on bioinformatics analysis and cellular experiments.(5)In addition,a rheumatoid arthritis risk prediction nomogram was constructed based on DYRK2,and its prediction performance was verified by receiver operating characteristic curve,correction curve and decision curve.Finally,the target potential drugs were mined based on Enrichr database and molecular docking was performed.RESULTS AND CONCLUSION:(1)Forward Mendelian randomization analysis of rheumatoid arthritis and osteoporosis showed statistically significant results except for GCST90044540 and GCST90086118,and all other results indicated a significant causal relationship and positive correlation between rheumatoid arthritis and osteoporosis.(2)Inverse Mendelian randomization analysis suggested that no significant causal relationship was seen between osteoporosis and rheumatoid arthritis.(3)Summary-data-based Mendelian randomization analysis identified a total of 412 and 344 genes positively associated with rheumatoid arthritis and osteoporosis,and 421 and 347 genes negatively associated.Based on the cross-analysis,26 co-morbid genes were subsequently obtained.Among them,DYRK2 was a potential therapeutic target,and subsequent bioinformatics analysis and cellular experiments confirmed its important role in the progression of rheumatoid arthritis and osteoporosis.(4)Furthermore,the constructed nomogram has excellent predictive performance.Finally,four potential DYRK2-targeting drugs(undecanoic acid,metyrapone,JNJ-38877605,and ACA)were discovered and molecular docking also demonstrated reliable targeting ability.(5)In conclusion,based on GWAS data from Asian and European populations,we successfully demonstrated that rheumatoid arthritis and osteoporosis are causally related at the genetic level,DYRK2 is a potential therapeutic target,and four small molecules are potential target drugs.

Objective To analyze the predictive value of the combined application of triglyceride-glucose index (TyG) and triglyceride-glucose-body mass index (TyG-BMI) for the severity of coronary artery lesions in postmenopausal patients with coronary heart disease (CHD). Methods Menopausal women who were diagnosed by coronary angiography and received treatment in the cardiovascular department were selected as the research subjects. According to the Gensini score, the patients were divided into a moderate group (n=151) and a severe group (n=203). The clinical indexes of the two groups were compared and ROC analysis was used to predict the efficacy. Results The BMI, age, hypertension rate, WBC, PLT, NEUT, TC, TG, LCI, TyG, and TyG‑BMI in the severe group were significantly higher than those in the moderate group, while ALB was significantly lower than that in the moderate group (P<0.05). Multivariate logistic regression showed that age, hypertension, WBC, TyG, and TyG‑BMI were independent risk factors for severe coronary artery disease in postmenopausal women (P<0.05). ROC curve analysis showed that the AUC of TyG was 0.745, the AUC of TyG‑BMI was 0.797, and the AUC of TyG combined with TyG‑BMI was 0.803, all showing good predictive performance. Conclusion TyG and TyG‑BMI are effective indicators for predicting the severity of coronary artery disease in postmenopausal CHD patients. The combination of the two can further improve predictive efficacy, providing a simple and economical reference for early clinical risk stratification.

This research investigated the impact of Ganoderma lucidum polysaccharides(GLP) on hepatoblastoma HepG2 and Huh6 cell models, as well as KM mouse model with in situ transplanted tumors, so as to provide a theoretical basis for the clinical application of GLP. Cell viability was assessed through the CCK-8 assay, whereas cell proliferation was evaluated by using the BeyoClick~(TM)EdU-488 test. Cell apoptosis was visualized via Hochest 33258 staining, and autophagy was detected through Mrfp-GFP-LC3 dual fluorescence staining. An in situ tumor transplantation model was created by using HepG2 cells in mice, and mice were treated with normal saline and GLP of 100, 200, and 300 mg·kg~(-1) for tumor count calculation and size assessment. Hematoxylin-eosin(HE) staining was used to observe pathological changes in tumor tissue and vital organs(liver, kidney, lung, spleen, and heart). Western blot analysis was conducted to measure the protein expressions of tumor protein P53(P53), B-cell lymphoma-2(Bcl-2), Bcl-2-associated X protein(Bax), cleaved-caspase-3, Beclin-1, autophagy related protein-5(Atg-5), microtubule-associated protein-light chain-3Ⅰ(LC3Ⅰ)/LC3Ⅱ, autophagy adapter protein 62(P62), protein kinase B(Akt), p-Akt, mammalian target of rapamycin(mTOR), and p-mTOR. The in vitro experiment revealed that compared with the control group, after GLP treatment, tumor cell viability decreased significantly; apoptosis rate increased in a dose-dependent manner, and autophagic flux was inhibited. The in vivo experiments showed that compared with the model group, mice treated with GLP exhibited significantly fewer and smaller tumors. Western blot results showed that compared with the control group or model group, levels of P53, Bax, cleaved-caspase-3, Beclin-1, Atg-5, and LC3-Ⅱ/LC3-Ⅰ were significantly increased after GLP treatment, and the levels of Bcl-2, P62, p-Akt/Akt, and p-mTOR/mTOR were significantly decreased. These outcomes suggest that GLP promotes apoptosis and autophagy in hepatoblastoma cells by regulating the Akt/mTOR pathway.
Animals ; Humans ; Autophagy/drug effects* ; Reishi/chemistry* ; Mice ; Apoptosis/drug effects* ; TOR Serine-Threonine Kinases/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; Liver Neoplasms/genetics* ; Hepatoblastoma/genetics* ; Polysaccharides/pharmacology* ; Cell Line, Tumor ; Signal Transduction/drug effects* ; Male ; Cell Proliferation/drug effects* ; Hep G2 Cells

Acute lateral ankle sprain (ALAS) is one of the most common sport injuries, with high incidence, recurrence and disability rates. Currently, exercise rehabilitation-based non-surgical treatment is the primary management approach for ALAS. However, there remain improper practices such as excessive immobilization or uncontrolled activity, which contribute to recurrent sprains and chronic ankle instability, significantly impairing patients′ athletic function and quality of life. To standardize the non-surgical management of ALAS, improve the cure rates, and reduce the recurrence and disability rates, Chinese Sports Rehabilitation Medicine Training Project of Chinese Medical Association, Foot and Ankle Basics and Orthopedics Group, Orthopedic Branch of Chinese Medical Doctor Association, and Sports Medicine Branch of Jiangsu Medical Association organized relevant experts to formulate Expert consensus on non-surgical treatment for acute lateral ankle sprain ( version 2025), following the principles of scientific vigor, practicality, and innovation. Thirteen recommendations were proposed for standardized treatment protocols across different healing phases, aiming to provide references for standard management of ALAS and improve the therapeutic outcomes.

Objective:To compare the diagnostic value of semi-quantitative parameters of fluorine 18-labelled prostate-specific membrane antigen( 18F-PSMA)positron emission tomography /computed tomography(PET/CT)and the Prostate-specific Membrane Antigen Reporting and Data System(PSMA-RADS)score for identifying benign and malignant oligo-PSMA-avid bone lesions(1-5 lesions)in elderly patients with prostate cancer. Methods:A retrospective analysis was conducted on 157 prostate cancer patients who underwent 18F-PSMA PET/CT examinations at Beijing Hospital from October 2022 to August 2024.According to the inclusion and exclusion criteria, a total of 63 patients were selected.All patients underwent 18F-PSMA PET/CT examination for the purpose of initial staging or detecting lesions with biochemical recurrence.PSMA-avid bone lesions were evaluated using the PSMA-RADS version 2.0 scoring system and the semi-quantitative parameters were measured on PSMA PET/CT images.According to the comprehensive diagnostic criteria, PSMA-avid bone lesions were divided into metastatic group and non-metastatic group.The differences in PSMA-RADS scores, semi-quantitative parameters, bone density abnormalities, and lesion distribution were compared between the two groups.Multivariate logistic regression analysis was performed to determine the factors related to the bone metastasis in prostate cancer.By plotting the receiver operating characteristic(ROC)curves and calculating the area under the curve(AUC), factors with better diagnostic performance were evaluated and screened, and the optimal diagnostic threshold for each factor in diagnosing bone metastasis was determined. Results:There were a total of 129 PSMA-avid bone lesions for 63 patients(aged 60-84 years, median age 69 years), including 35 lesions(27.1%)in the metastatic group and 94 lesions(72.9%)in the non-metastatic group.The differences between metastatic group and non-metastatic group in PSMA-RADS scores[5(4, 5) vs.3(3, 3)], maximum standardized uptake value(SUV max)[12.6(7.0, 18.4) vs.4.7(3.5, 5.9)], lesion SUV max/mediastinal blood pool SUV max ratio(lesion-to-blood pool ratio, LBR)[5.4(3.0, 8.3) vs.1.7(1.4, 2.2)], lesion SUV max/liver SUV max ratio(lesion-to-liver ratio, LLR)[2.6(1.6, 4.1) vs.0.8(0.7, 1.1)], PSMA receptor expressing tumor volume(PSMA-TV)[0.6(0.3, 1.0) vs.1.0(0.7, 1.5)], total lesion of PSMA(TL-PSMA)[4.4(2.4, 7.0) vs.2.4(1.7, 3.9)], proportion of changes in osteogenic bone density[77.1%(27/35) vs.2.1%(2/94)], proportion of lesions located in the ribs[14.3%(5/35) vs.46.8%(44/94)], and proportion of lesions located in the pelvis[54.3%(19/35) vs.20.2%(19/94)]were all statistically significant(all P<0.05). Multivariate logistic regression analysis indicated that none of the variables with statistically significant differences between groups above were independent risk factors for osseous metastasis in prostate cancer(all P>0.05). Among them, The PSMA-RADS score, LLR, LBR, and SUV max all had good diagnostic efficacy for osseous metastasis, with 0.995(95% CI: 0.987-1.000), 0.923(95% CI: 0.869-0.977), 0.898(95% CI: 0.828-0.967), and 0.890(95% CI: 0.820-0.961), respectively.The cut-off values for diagnosing osseous metastasis were 4 score for PSMA-RADS score, 0.934 for LLR, 1.990 for LBR, and 5.47 for SUV max, respectively.According to Delong's test, there were statistically significant differences in AUC between PSMA-RADS score and 18F-PSMA PET/CT semi-quantitative parameters(LLR, LBR, and SUV max)( Z-values were 2.677, 2.776, and 2.929, respectively, and P-values were 0.007, 0.006, and 0.003, respectively). Conclusions:The PSMA-RADS score(Version 2.0)and 18F-PSMA PET/CT semi-quantitative parameters(LLR, LBR, and SUV max)both have good diagnostic value in differentiating benign and malignant PSMA-avid bone lesions in elderly patients with prostate cancer, among which the PSMA-RADS score has the best diagnostic efficacy.

Objective: To evaluate the incremental vaccine effectiveness (VE) of two dose of the mumps containing vaccine (MuCV) in chidren, so as to provide a basis for optimizing mumps immunization strategies. Methods: A 1∶2 frequency matched case-control study was conducted by using reported mumps cases in childcare centers or schools from Lu an, Hefei, Ma anshan and Huainan cities of Anhui Province from September 1, 2023 to June 30, 2024, as a case group(383 cases). And healthy children in the same classroom were selected as a control group(766 cases). The MuCV immunization histories of participants were collected to estimate the incremental VE of the second dose of MuCV against mumps. Group comparisons were performed using the Chi square test or t-test. For matched case-control pairs, the Cox regression model was employed to calculate the odds ratio (OR) with 95% confidence interval (CI) for two dose MuCV vaccination and to estimate the incremental vaccine effectiveness (VE). Results: There were no statistically significant differences between the case and control groups regarding gender, age, dosage of MuCV vaccination and the time interval since the last dose vaccination( χ 2/t=0.05, 0.20, 0.94, -0.02, P >0.05). The proportions of the case and control groups vaccinated with two doses of MuCV were 26.63% and 29.37%, respectively, and the overall incremental VE of the second dose of MuCV was 40.73% (95% CI=3.03%-63.77%, P <0.05). Subgroup analyses revealed that the incremental VE for children with a period of ≥1 year between the two doses of MuCV was 54.13% (95% CI=1.90%-78.56%, P <0.05), while for children with a period of <1 year, it was 30.63% (95% CI=-28.59%-62.58%, P >0.05). The incremental VE of the second dose of MuCV was 30.36% (95% CI=-25.95%-61.50%, P >0.05) in kindergarten children and 66.73% (95% CI=14.92%-86.99%, P <0.05) in elementary and secondary school students. The incremental VE was 28.78% (95% CI=-27.46%-60.21%, P >0.05) within five years of the last dose of MuCV vaccination and 66.07% (95% CI=-41.56%-91.87%, P >0.05) for vaccinations administered beyond five years. Conclusions The second dose of MuCV may offer additional protection for children; however, extending the interval between two dose of MuCV (<1 year) has shown limited incremental protective effects. Therefore, it is crucial to consider optimizing current immunization strategies for mumps.

ObjectiveTo investigate the current status of latent tuberculosis infection (LTBI) among the elderly population in rural areas of Changxing County, Zhejiang Province, and to provide an evidence for the development of LTBI prevention and control measures. MethodsBetween January and May 2024, elderly individuals participating in urban and rural residents’ health checkups were screened for Mycobacterium tuberculosis infection using a domestically produced interferon-γ release assay (IGRA) kit. Individuals tested positive by IGRA but without active tuberculosis were classified as LTBI cases. The prevalence of LTBI among the participants was subsequently analyzed. ResultsAmong the 6 765 subjects, 637 tested positive by IGRA, including one identified active tuberculosis patient, resulting in a LTBI prevalence rate of 9.40%. There was a statistically significant difference in positivity rates across different IGRA methodologies (χ²=35.530, P<0.001). Higher LTBI rate was observed in males, individuals with a history of diabetes mellitus, and those with a history of pulmonary tuberculosis, exhibiting statistically significant differences (χ²=32.401, P<0.001; χ²=5.789, P=0.020; χ²=39.248, P<0.001, respectively.) No statistically significant difference in LTBI rate was found across different age groups (χ²=0.238, P=0.971). ConclusionThe prevalence of LTBI among the elderly rural residents in Changxing County is relatively low. Male, individuals with a history of diabetes mellitus, and those with a history of pulmonary tuberculosis have an increased risk of LTBI, warranting targeted risk monitoring and timely interventions.

Diabetic retinopathy(DR)is one of the most common and severe microvascular complications in diabetic patients and has become one of the leading causes of blindness worldwide. With the continuous rise in the prevalence of diabetes, in-depth exploration of the pathogenesis of DR and effective intervention measures is of great clinical significance. The mechanistic target of rapamycin(mTOR), as a protein kinase, is widely involved in cellular processes such as growth, metabolism, and autophagy. Research indicates that the mTOR signaling pathway plays a crucial regulatory role in the pathological progression of DR, and its abnormal activity can disrupt retinal cell autophagy function, thereby accelerating cellular damage and disease progression. Autophagy, as an important regulatory mechanism for cellular homeostasis, maintains cellular functional balance by clearing damaged organelles and protein aggregates. This article provides a systematic review of the structural and functional aspects of the mTOR signaling pathway, the molecular regulatory mechanisms of autophagy, and their roles in retinal pathological changes. By summarizing current research findings, the article aims to clarify the key regulatory role of the mTOR-autophagy axis in DR, providing theoretical support for elucidating the molecular pathogenesis of DR and offering potential targets and research directions for developing novel targeted therapeutic strategies, thereby holding significant scientific and clinical value.