The disease-syndrome combination animal model in traditional Chinese medicine （TCM） andrology serves as an important bridge linking TCM theory with modern medical research， providing a key experimental platform for elucidating the 'syndrome-disease' correlation mechanism in male-specific diseases and for screening effective prescriptions. This article reviews recent progress in animal model research on common TCM andrological diseases， including prostatic diseases， sexual dysfunction， and male infertility， with a focus on analyzing the application， advantages， and disadvantages of various modeling strategies， such as immune induction， hormonal intervention， and multi-factor combination across different syndrome types. However， despite breakthroughs in model construction techniques， current research still faces several challenges， including insufficient standardization of syndrome differentiation and difficulties in quantifying TCM-specific indicators. Future studies need to optimize model evaluation systems by integrating modern technologies， in order to promote the standardization and internationalization of TCM andrology research.

Purpose: It was aimed to clarify the casual connection between prostate cancer (PCa) and arthritis by utilizing two-sample Mendelian randomization (MR) analysis and data from National Health and Nutrition Examination Survey (NHANES) database. Materials and Methods: This study utilized NHANES data. Through association analysis and risk stratification analysis, the association between arthritis and PCa were examined. MR analysis was performed to elucidate the causal relationship between arthritis and PCa. Sensitivity analysis and Steiger directionality test confirmed the reliability of the MR analysis results. Results: A total of 23,608 (PCa:controls=413:23,195) participants after a sample exclusion and variable definition process were screened in NHANES database. Adjustments across three diverse models consistently revealed a notable influence of arthritis on PCa progression. Arthritis was identified as a risk factor for PCa (odds ratio [OR] 1.88, 95% confidence interval [CI] 1.36–2.62, p<0.001). Subsequent analysis indicated that in the arthritis-adjusted model with multiple covariates, the area under the curve of the receiver operating characteristic curve was 0.94. The inverse variance weighting method of MR analysis showed a causal relationship between rheumatoid arthritis (RA) and PCa (OR 1.090, 95% CI 1.053–1.128, p<0.001) as well as osteoar-thritis and PCa (OR 1.002, 95% CI 1.001–1.004, p=0.002). This suggested that RA and osteoarthritis were risk factors for PCa. The heterogeneity (p>0.05), horizontal pleiotropy (p>0.05), leave-one-out and Steiger test confirmed reliability of MR results. Conclusions NHANES database and MR analyses identified arthritis as a risk factor for PCa, offering fresh avenues for preventive and therapeutic approaches.

Objective:To investigate the association between blood selenium levels and sex hormones in Chinese men aged 18-79 years.Methods:Data were derived from the China National Human Biomonitoring survey conducted in 2017-2018, with a final sample size of 5 414 men. General demographic characteristics, behavioral habits, and dietary frequency were collected through questionnaires and physical examinations. Fasting blood samples were collected to measure blood lead, serum testosterone, and estradiol levels. Complex sampling linear regression models were used to analyze the associations between blood selenium levels and testosterone, estradiol, and the testosterone/estradiol ratio, adjusting for confounding factors including age, education level, marital status, smoking status, alcohol consumption, seafood intake, soy product intake, protein supplement intake, BMI, and diabetes status.Results:The mean age of the 5 414 participants was (46.85±27.91) years; 4 774 (91.65%) were of Han ethnicity and 4 505 (86.68%) were married. The median ( Q1, Q3) blood selenium concentration in men was 97.80 (80.64, 116.99) μg/L. After adjusting for confounding factors, the complex sampling linear regression model revealed negative associations between blood selenium levels and both testosterone levels and the testosterone/estradiol ratio, with a significant linear trend ( Ptrend<0.05). Compared with the Q1 group, the β (95% CI) values for testosterone in the Q2, Q3, and Q4 groups were -0.02 (-0.06 to 0.02), -0.03 (-0.08 to 0.01), and -0.06 (-0.09 to -0.02), respectively. Similarly, the β (95% CI) values for the testosterone/estradiol ratio in the Q2, Q3, and Q4 groups were -0.01 (-0.03 to 0.02), -0.01 (-0.04 to 0.04), and -0.03 (-0.06 to -0.01), respectively. Subgroup analysis indicated stronger associations between blood selenium levels and testosterone/estradiol levels in non-smoking and obese men (BMI≥28 kg/m2). Conclusion:Blood selenium levels are negatively associated with testosterone levels and the testosterone/estradiol ratio in Chinese adult males.

Objective To investigate the differences in Mandarin vowel space area(VSA)across geographic regions and genders.Methods Healthy college students residing in Beijing(62 cases,32 males and 30 females)and Shanghai(62 cases,32 males and 30 females)were selected to study the Mandarin VSA with six Chinese vowels(/a/,/e/,/i/,/u/,/o/,/ü/,and the short text Vacation)as the corpus,respectively.Results The differences in VSA between genders were extremely significant(P＜0.001),and the VSA of females was significantly larger than that of males.Simple effect tests for speech material and region showed that when the speech material was con-tinuous speech,the VSAs of Beijing and Shanghai subjects showed no significant difference,but when the speech material was unitary speech,the VSAs of Shanghai subjects were significantly larger than those of Beijing subjects(P=0.003,P＜0.01).Conclusion The VSAs of female adults were larger than those of male adults,and the front vowels of females were more fronted and the back vowels were more backward.The differences produced by different regions based on the Mandarin system of pronunciation were not significant.

Objective:To evaluate the therapeutic efficacy,safety,and factors influencing overall survival(OS)in patients with newly dia-gnosed acute myeloid leukemia(unfit AML)treated with venetoclax(VEN)plus low-dose cytarabine(LDAC)treatment regimen.Methods:In this study,we retrospectively analyzed clinical data from 33 patients with unfit AML treated with VEN plus LDAC at the Affiliated Hospital of Jiangsu University between December 2019 and January 2024.The efficacy and survival outcomes of this regimen were assessed.Results:Thirty-three patients(median age:72 years)were enrolled,including 29 with de novo AML and four with secondary AML.The median follow-up duration was 781 days,with a median OS and progression-free survival(PFS)of 467 days(range:104-812 days)and 395 days(range:104-637 days),respectively.After induction chemotherapy,the overall response rate(ORR)was 69.7%,with a composite rate of complete response(CR)and CR with incomplete blood count recovery(CRi)reaching 36.4%.Morphologic leukemia-free state(MLFS)and partial re-mission(PR)were observed in 3%and 30.3%of patients,respectively.The median number of treatment cycles was three(range:1-6.5).Treatment-related adverse events were primarily hematological,with high rates of grade 3-4 hematologic toxicities.Kaplan-Meier analysis revealed significant associations between survival and ECOG performance status,TP53 mutation status,treatment cycles,and response(P<0.05).Univariate and multivariate Cox regression analyses identified treatment cycles as an independent risk factor for OS(P<0.05).Con-clusions:The VEN plus LDAC regimen demonstrated feasibility and efficacy in patients with newly diagnosed AML;initial response and con-tinuous treatment were associated with favorable survival.

Objective:To construct multimorbidity patterns among elderly individuals with chronic diseases and to explore the relationship between these patterns and frailty.Methods:A cross-sectional study was conducted involving 4, 706 elderly participants aged 60 years and older from selected prefecture-level cities in Shaanxi Province.Data were collected on general information, chronic diseases, and frailty status.The average age of the participants was 69.9±6.7 years, with males comprising 47.3%(2, 255 cases)and females comprising 52.7%(2, 481 cases)of the sample.Latent class analysis(LCA)was employed to identify multimorbidity patterns, while multivariate logistic regression analysis was utilized to examine the associations between these patterns and frailty.Results:The prevalence of multimorbidity within the study population was found to be 43.6%(2, 052 cases out of 4, 706 cases).The highest rates of multimorbidity were observed in anxiety and depression(100%, 23 cases out of 23 cases), dementia(100%, 6 cases out of 6 cases), and Parkinson's disease(100%, 11 cases out of 11 cases).Stroke followed closely with a rate of 96.8%(597 cases out of 617 cases), while rheumatoid arthritis exhibited the lowest rate of multimorbidity with other chronic diseases at 50%(4 cases out of 8 cases).Five distinct multimorbidity patterns were identified through LCA: the complex multimorbidity class(123 cases), the stroke-respiratory class(546 cases), the sleep disorders-osteoarticular class(488 cases), the cardiovascular-metabolic class(987 cases), and the relatively healthy class(2, 562 cases).When compared to the relatively healthy class, the complex multimorbidity class( OR=2.317, 95% CI: 1.573-3.412), stroke-respiratory class( OR=2.279, 95% CI: 1.862-2.788), sleep disorders-osteoarticular class( OR=1.370, 95% CI: 1.111-1.691), and cardiovascular-metabolic class( OR=1.185, 95% CI: 1.003-1.400)were all found to be significantly associated with frailty. Conclusions:The cardiovascular-metabolic class is the most prevalent among elderly individuals.Various patterns exhibit distinct associations with frailty, with the complex multimorbidity class and the stroke-respiratory class being the most significant, as they markedly elevate the risk of frailty.

Objective To investigate the role of Glycoprotein non-metastatic melanoma protein B(GPNMB)in hypoxia-induced epithelial-mesenchymal transition(EMT)in human chorionic trophoblast HTR-8/SVneo cells.Methods HTR-8/SVneo cells were cultured in vitro to investigate the effect of hypoxia on GPNMB expression.The cells were transfected with either a GPNMB overexpression plasmid(pcDNA3.1-GPNMB),small interfering RNA targeting GPNMB(si-GPNMB-1/2),or their respective negative controls(pcDNA3.1-NC or si-NC),and were also treated with the autophagy agonist rapamycin(Rap).The experimental groups were categorized as follows:Normoxia,Hypoxia,Normoxia/Hypoxia+si-NC or si-GPNMB,Normoxia/Hypoxia+pcDNA3.1-NC or pcDNA3.1-GPNMB,Normoxia/Hypoxia+Rap,and Hypoxia+Rap+pcDNA3.1-NC or pcDNA3.1-GPNMB.GPNMB expression levels were evaluated using qRT-PCR,Western blotting,and immunofluorescence staining.The expression of autophagy-related proteins(LC3B Ⅱ/Ⅰ,p62)and epithelial-mesenchymal transition(EMT)markers(E-cadherin,N-cadherin)was analyzed by Western blotting.Cell migration and invasion capacities were assessed using wound healing and Transwell assays.Results Compared with the Normoxia group,the mRNA and protein levels of GPNMB were downregulated in the Hypoxia group.Additionally,the protein levels of p62 and N-cadherin were reduced,while LC3B Ⅱ/Ⅰ and E-cadherin expression levels were increased(P<0.05).Compared with the Hypoxia+si-NC group,the Hypoxia+si-GPNMB-2 group showed significantly decreased protein levels of p62 and N-cadherin,along with elevated levels of LC3B Ⅱ/Ⅰ and E-cadherin(P<0.05).Compared with the Hypoxia+pcDNA3.1-NC group,the Hypoxia+pcDNA3.1-GPNMB group exhibited opposite trends.Notably,compared with the Hypoxia group,the Hypoxia+Rap group showed increased LC3B Ⅱ/Ⅰ and E-cadherin levels,accompanied by reduced p62 and N-cadherin levels(P<0.05).However,compared with the Hypoxia+pcDNA3.1-GPNMB group,the Hypoxia+Rap+pcDNA3.1-GPNMB group attenuated the promoting effect of GPNMB overexpression on EMT in HTR-8/SVneo cells,as evidenced by decreased p62 and N-cadherin protein expression levels and increased LC3BⅡ/Ⅰ and E-cadherin protein expression levels(P<0.05).Conclusion In hypoxia-induced HTR-8/SVneo cells,GPNMB inhibits autophagy,promotes the epithelial-mesenchymal transition,and enhances cell migration and invasion.

Objective To analyze the results of human-machine coupling quality control(QC)for inpatient medical re-cords,compare them with manual QC results,and evaluate the value of the human-machine coupling approach.Methods Dis-charge medical records from a tertiary hospital between January 1,2024,and November 30,2024,underwent QC via two meth-ods:human-machine coupling QC and manual QC.Manual QC was performed based on medical record documentation standards and medical record management quality control indicators.The differences in the results obtained by human-machine coupling QC and manual QC were statistically analyzed.Results The human-machine coupling method reviewed 76 204 medical records,i-dentifying 204 544 issues.Manual QC reviewed 521 records,identifying 2 032 issues.The identified problems were categorized into five types:documentation,diagnosis and treatment,front page(administrative data),communication documents,and ap-proval documents.Conclusion Rule-based human-machine coupling QC achieves comprehensive and full-process coverage of inpatient medical records.The generated QC reports can display the distribution and correction status of detected issues,provi-ding a basis and direction for hospital management.

Objective:To investigate the association between blood selenium levels and sex hormones in Chinese men aged 18-79 years.Methods:Data were derived from the China National Human Biomonitoring survey conducted in 2017-2018, with a final sample size of 5 414 men. General demographic characteristics, behavioral habits, and dietary frequency were collected through questionnaires and physical examinations. Fasting blood samples were collected to measure blood lead, serum testosterone, and estradiol levels. Complex sampling linear regression models were used to analyze the associations between blood selenium levels and testosterone, estradiol, and the testosterone/estradiol ratio, adjusting for confounding factors including age, education level, marital status, smoking status, alcohol consumption, seafood intake, soy product intake, protein supplement intake, BMI, and diabetes status.Results:The mean age of the 5 414 participants was (46.85±27.91) years; 4 774 (91.65%) were of Han ethnicity and 4 505 (86.68%) were married. The median ( Q1, Q3) blood selenium concentration in men was 97.80 (80.64, 116.99) μg/L. After adjusting for confounding factors, the complex sampling linear regression model revealed negative associations between blood selenium levels and both testosterone levels and the testosterone/estradiol ratio, with a significant linear trend ( Ptrend<0.05). Compared with the Q1 group, the β (95% CI) values for testosterone in the Q2, Q3, and Q4 groups were -0.02 (-0.06 to 0.02), -0.03 (-0.08 to 0.01), and -0.06 (-0.09 to -0.02), respectively. Similarly, the β (95% CI) values for the testosterone/estradiol ratio in the Q2, Q3, and Q4 groups were -0.01 (-0.03 to 0.02), -0.01 (-0.04 to 0.04), and -0.03 (-0.06 to -0.01), respectively. Subgroup analysis indicated stronger associations between blood selenium levels and testosterone/estradiol levels in non-smoking and obese men (BMI≥28 kg/m2). Conclusion:Blood selenium levels are negatively associated with testosterone levels and the testosterone/estradiol ratio in Chinese adult males.

Objective:To construct multimorbidity patterns among elderly individuals with chronic diseases and to explore the relationship between these patterns and frailty.Methods:A cross-sectional study was conducted involving 4, 706 elderly participants aged 60 years and older from selected prefecture-level cities in Shaanxi Province.Data were collected on general information, chronic diseases, and frailty status.The average age of the participants was 69.9±6.7 years, with males comprising 47.3%(2, 255 cases)and females comprising 52.7%(2, 481 cases)of the sample.Latent class analysis(LCA)was employed to identify multimorbidity patterns, while multivariate logistic regression analysis was utilized to examine the associations between these patterns and frailty.Results:The prevalence of multimorbidity within the study population was found to be 43.6%(2, 052 cases out of 4, 706 cases).The highest rates of multimorbidity were observed in anxiety and depression(100%, 23 cases out of 23 cases), dementia(100%, 6 cases out of 6 cases), and Parkinson's disease(100%, 11 cases out of 11 cases).Stroke followed closely with a rate of 96.8%(597 cases out of 617 cases), while rheumatoid arthritis exhibited the lowest rate of multimorbidity with other chronic diseases at 50%(4 cases out of 8 cases).Five distinct multimorbidity patterns were identified through LCA: the complex multimorbidity class(123 cases), the stroke-respiratory class(546 cases), the sleep disorders-osteoarticular class(488 cases), the cardiovascular-metabolic class(987 cases), and the relatively healthy class(2, 562 cases).When compared to the relatively healthy class, the complex multimorbidity class( OR=2.317, 95% CI: 1.573-3.412), stroke-respiratory class( OR=2.279, 95% CI: 1.862-2.788), sleep disorders-osteoarticular class( OR=1.370, 95% CI: 1.111-1.691), and cardiovascular-metabolic class( OR=1.185, 95% CI: 1.003-1.400)were all found to be significantly associated with frailty. Conclusions:The cardiovascular-metabolic class is the most prevalent among elderly individuals.Various patterns exhibit distinct associations with frailty, with the complex multimorbidity class and the stroke-respiratory class being the most significant, as they markedly elevate the risk of frailty.