Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

Objective: To analyze the epidemiological characteristics and spatio-temporal clustering characteristics of pulmonary tuberculosis (PTB) in Yulin City, Shaanxi Province from 2007 to 2024, so as to provide the evidence for optimizing regional PTB prevention and control strategies. Methods: Registration data of PTB cases in Yulin City from 2007 to 2024 were collected from the Tuberculosis Management Information System of the China Disease Prevention and Control Information System. The average annual percent change (AAPC) and annual percent change (APC) were used to analyze the trends in PTB registration rates. Descriptive epidemiological methods were used to analyze the temporal, spatial and population distribution characteristics. Spatio-temporal scan analysis was used to analyze the spatio-temporal clustering characteristics. Results: A total of 35 874 PTB cases were registered in Yulin City from 2007 to 2024. The registered incidence decreased from 80.41/105 in 2007 to 38.53/105 in 2024 (AAPC=-3.916%, P<0.05). Downward trends were observed from 2007 to 2016 and from 2019 to 2022 (APC=-4.440%, -19.361%, both P<0.05). March used to be the peak of disease incidence, with a seasonal index of 1.78, while February used to be the trough, with a seasonal index of -1.38. The average annual registered incidence rates were relatively high in Zhouxian County, Wubu County, and Suide County, at 89.02/105, 82.52/105 and 79.61/105, respectively. There were 21 672 registered PTB cases among males, accounting for 60.41%, and 14 202 cases among females, accounting for 39.59%. The higher registered cases were observed in groups aged 15 to <25 years and ≥65 years, with 9 400 and 7 950 cases, accounting for 26.20% and 22.16%, respectively. The proportion of population aged ≥65 years increased from 16.97% in 2007 to 43.24% in 2024, with an increase of 154.80%. Farmers were the predominant occupation, with 24 477 cases, accounting for 68.23%. Spatio-temporal scan analysis showed that the primary clusters consistently included Qingjian County, Suide County, Zizhou County, and Wubu County from 2007 to 2015, 2016 to 2019, 2020 to 2022 and 2023 to 2024. Mizhi County was incorporated into the clusters from 2016 to 2019 and 2020 to 2022, while Jiaxian County was further added from 2023 to 2024. The specific cluster periods were from January 2007 to June 2011, November 2017 to August 2019, March 2020 to July 2021, and February 2023 to July 2024, respectively. Conclusions From 2007 to 2024, the registered incidence of PTB in Yulin City showed an overall declining trend. March marked the peak of disease onset. Males, the elderly aged ≥65 years and farmers were the high-incidence population. Persistent spatio-temporal clustering was observed in the southern regions, including Qingjian County, Suide County, Zizhou County, Wubu County, and Mizhi County.

Objective: To explore the association between physical activity, anxiety symptoms and academic performance among junior high school students, so as to provide data support for optimizing school physical education and health work and formulating physical activity guidelines. Methods: From September to December 2022, a convenience cluster sampling method was used to survey 2 800 junior high school students in a middle school from Anqing City, Anhui Province. Data were collected on the students anxiety symptoms, academic performance, 24 hour physical activity [moderate to vigorous intensity physical activity(MVPA), light intensity physical activity(LPA), sedentary behavior(SB), and sleep(SLP) duration] as well as demographic characteristics. Compositional data analysis was used to explore the associations between 24 hour physical activity, anxiety symptoms and academic performance among junior high school students, and to predict the optimal time use combination pattern. Results: Among the junior high school students, 16.0% (447 students) reported anxiety symptoms, and 42.0% (1 175 students) achieved excellent or good academic performance. Compositional data analysis showed that increased SLP duration was associated with both reduced anxiety symptoms ( β =-0.18) and decreased academic performance ( β =-0.03) among junior high school students; increased MVPA duration was correlated with fewer anxiety symptoms ( β =-0.02) and lower academic performance ( β =-0.13); in contrast, increased SB duration was linked to more anxiety symptoms ( β =0.09) and higher academic performance ( β =0.09) (all P <0.01). LPA duration exhibited a non linear relationship with anxiety symptoms and academic performance in junior high school students (all P >0.05). The time use combination pattern corresponding to the lowest anxiety symptoms and highest academic performance (top 5%) in adolescents was 611 (520-640) minutes of SLP, 258 (230-320) minutes of SB, 454 (280-610) minutes of LPA, and 117 (20-200) minutes of MVPA per day. Conclusions The 24 hour physical activity of junior high school students is associated with anxiety symptoms and academic performance. Therefore, it is recommended to increase the time spent on SB, MVPA, and LPA for junior high school students, while reducing SB.

Objective: To explore the associations of moderate to vigorous intensity physical activity (MVPA) and sedentary behavior (SB) among primary and secondary school students and their parents, so as to provide a scientific basis for formulating targeted physical activity promotion strategies for children and adolescents. Methods: From 2021 to 2022, basic information and 24 h movement behaviors of 2 484 pairs of students and their parents were collected from five primary and secondary schools in Haizhu District, Guangzhou City, with a convenient sampling combining with cluster sampling method. Component regression models were constructed to analyze the relationship between parental MVPA, SB and primary and secondary school students MVPA and SB, and a component isochronous substitution model was used to explore the effects of mutual substitution between parental MVPA, residual components (time use components other than SB during the 24 h period), and SB on the behavioral activities of MVPA and SB in primary and secondary school students. Results: Parental MVPA and SB of students in grade 1 to 3 were positively correlated with both students MVPA and SB ( β=0.06, 0.12, P <0.01). The component isochronous substitution model showed that substituting 10 and 20 minutes of MVPA for SB by parents in grade 1 to 3 was associated with an increase in MVPA of students, and substituting 10 and 20 minutes of residual ingredients for SB was associated with a decrease in SB of students, with mean changes of 0.8 (95% CI =0.4-1.2) and 1.4 (95% CI =0.7-2.2) and -1.4 (95% CI =-1.7 to -1.1) and -2.9 (95% CI =-3.4 to -2.3)( P <0.05). No statistically significant associations were observed between parents of students in grades 4 to 6 and 7 to 9 and students physical activity and sedentary behaviour ( P >0.05). Conclusions Parents of students in grades 1 to 3 increases MVPA and decrease SB are beneficial to increase MVPA and decrease SB of students. Parents could promote physical activity among primary and secondary school students, and the intervention gateway should be advanced, with the low grades as the optimal intervention period.

Recent data suggest that vascular endothelial growth factor receptor inhibitor (VEGFRi) can enhance the anti-tumor activity of the anti-programmed cell death-1 (anti-PD-1) antibody in colorectal cancer (CRC) with microsatellite stability (MSS). However, the comparison between this combination and standard third-line VEGFRi treatment is not performed, and reliable biomarkers are still lacking. We retrospectively enrolled MSS CRC patients receiving anti-PD-1 antibody plus VEGFRi (combination group, n=54) or VEGFRi alone (VEGFRi group, n=32), and their efficacy and safety were evaluated. We additionally examined the immune characteristics of the MSS CRC tumor microenvironment (TME) through single-cell and spatial transcriptomic data, and an MSS CRC immune cell-related signature (MCICRS) that can be used to predict the clinical outcomes of MSS CRC patients receiving immunotherapy was developed and validated in our in-house cohort. Compared with VEGFRi alone, the combination of anti-PD-1 antibody and VEGFRi exhibited a prolonged survival benefit (median progression-free survival: 4.4 vs. 2.0 months, P=0.0024; median overall survival: 10.2 vs. 5.2 months, P=0.0038) and a similar adverse event incidence. Through single-cell and spatial transcriptomic analysis, we determined ten MSS CRC-enriched immune cell types and their spatial distribution, including naive CD4⁺ T, regulatory CD4⁺ T, CD4⁺ Th17, exhausted CD8⁺ T, cytotoxic CD8⁺ T, proliferated CD8⁺ T, natural killer (NK) cells, plasma, and classical and intermediate monocytes. Based on a systemic meta-analysis and ten machine learning algorithms, we obtained MCICRS, an independent risk factor for the prognosis of MSS CRC patients. Further analyses demonstrated that the low-MCICRS group presented a higher immune cell infiltration and immune-related pathway activation, and hence a significant relation with the superior efficacy of pan-cancer immunotherapy. More importantly, the predictive value of MCICRS in MSS CRC patients receiving immunotherapy was also validated with an in-house cohort. Anti-PD-1 antibody combined with VEGFRi presented an improved clinical benefit in MSS CRC with manageable toxicity. MCICRS could serve as a robust and promising tool to predict clinical outcomes for individual MSS CRC patients receiving immunotherapy.
Humans ; Colorectal Neoplasms/drug therapy* ; Male ; Female ; Immunotherapy ; Middle Aged ; Aged ; Tumor Microenvironment/immunology* ; Retrospective Studies ; Microsatellite Instability ; Transcriptome ; Single-Cell Analysis ; Programmed Cell Death 1 Receptor/immunology* ; Gene Expression Profiling ; Immune Checkpoint Inhibitors/therapeutic use* ; Adult ; Receptors, Vascular Endothelial Growth Factor/antagonists & inhibitors*

"Weibing" is a fundamental concept in traditional Chinese medicine (TCM), representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction. This perspective delves into the biological foundations and quantifiable markers of Weibing, aiming to establish a research framework for early disease intervention. Here, we propose the "Health Quadrant Classification" system, which divides the state of human body into health, sub-health, disease-susceptible state, and disease. We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions. To understand the intrinsic dynamics of this state, we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models. At the molecular level, bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression. Furthermore, we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease. This approach resonates with TCM's preventive philosophy, emphasizing proactive health maintenance and disease prevention. Ultimately, our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.

DKD is a common microvascular complication of diabetes mellitus and the main cause of chronic kidney disease in China.Asprosin is a novel adipokine,which plays an important regulatory role in IR,glucose and lipid metabolism,inflammatory response and mitochondrial function.Asprosin is closely related to diabetes mellitus,obesity and other diseases,and may be involved in the pathophysiological process of DKD.Asprosin is expected to become a new biomarker and potential therapeutic target for early screening and diagnosis of DKD.Therefore,this article reviews the research progress of Asprosin in DKD.

DKD is a common microvascular complication of diabetes mellitus and the main cause of chronic kidney disease in China.Asprosin is a novel adipokine,which plays an important regulatory role in IR,glucose and lipid metabolism,inflammatory response and mitochondrial function.Asprosin is closely related to diabetes mellitus,obesity and other diseases,and may be involved in the pathophysiological process of DKD.Asprosin is expected to become a new biomarker and potential therapeutic target for early screening and diagnosis of DKD.Therefore,this article reviews the research progress of Asprosin in DKD.

Objective:To compare the prognostic values of different classification by using transpulmonary pressure gradient (TPG), diastolic pressure gradient (DPG) and pulmonary vascular resistance (PVR) in patients with pulmonary hypertension due to left heart disease (PH-LHD), and investigated hemodynamic and clinical factors associated with mortality in patients with PH-LHD.Methods:This was a single-center prospective cohort study. In-hospital patients diagnosed with PH-LHD via right heart catheterization at the Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, from September 2013 to December 2019 were enrolled. Patients were divided according to TPG (cutoff value 12 mmHg; 1 mmHg=0.133 kPa), DPG (cutoff value 7 mmHg), PVR (cutoff value 3 Wood Units), and the combination of TPG and PVR. Baseline characteristic was recorded. All patients were followed up until the occurrence of endpoint event, defined as all-cause death that occurred during the follow-up period, or until April 18, 2022. Receiver operating characteristic curves were used to compare the predictive value of 3 classification methods for all-cause death in PH-LHD patients. The optimal cutoff values were calculated using Jorden index. Survival analysis was performed using Kaplan-Meier analysis, and log-rank test was used to compare the predictive efficacy of classification methods based on optimal cutoff values or guidance-recommended thresholds for the survival of PH-LHD patients. Variables showing statistical significance in the univariate analysis were incorporated into multivariate Cox regression model to analyze the independent risk factors for all-cause mortality.Results:A total of 243 patients were enrolled, aged (54.9±12.7) years old, including 169 (69.5%) males. During a median follow-up of 57 months, there were 101 (41.6%) deaths occurred. Grouping results were as follows: (1) TPG: TPG≤12 mmHg group 115 patients, TPG>12 mmHg group 128 patients; (2) DPG: DPG<7 mmHg group 193 patients, DPG≥7 mmHg group 50 patients; (3) PVR: PVR≤3 Wood Units group 108 patients, PVR>3 Wood Units group 135 patients; (4) TPG and PVR: TPG≤12 mmHg and PVR≤3 Wood Units group 89 patients, TPG>12 mmHg and PVR>3 Wood Units group 109 patients. PVR ( AUC=0. 698,95% CI:0.631-0.766) had better predictive value for all-cause mortality than TPG ( AUC=0.596, 95% CI: 0.523-0.669) and DPG ( AUC=0.526, 95% CI: 0.452-0.601) (all P<0.05). The optimal cutoff values for TPG, DPG, and PVR were13.9 mmHg, 2.8 mmHg, and 3.8 Wood Units, respectively. Kaplan-Meier analysis based on the optimal cutoff values or guidance-recommended thresholds showed that PVR and TPG were the predictors of survival ( P<0.05), while DPG did not showed significance ( P>0.05). Multivariate Cox regression analysis showed that age, PVR and log 2N-terminal pro-B-type natriuretic peptide were independent risk factors for all-cause mortality in PH-LHD patients (all P<0.05). Conclusion:Classification according to PVR was most valuable in predicting all-cause death in PH-LHD patients, while TPG showed moderate predictive ability and DPG had no predictive value.

OBJECTIVE To explore the mechanism Baitouweng Decoction on mice with vulvovaginal candidiasis(VVC)based on phosphoinositide 3-kinase(PI3K)/protein kinase B(AKT)-hypoxia-inducible factor-1α(HIF-1α)pathway.METHODS Female SPF-grade Kunming mice were injected subcutaneously with estradiol benzoate and vaginally inoculated with Candida albicans suspension to establish a VVC mouse model.The mice with successful modeling were randomly divided into model group,high-,me-dium-,and low-dose Baitouweng Decoction groups(23.4,11.7,and 5.85 g·kg-1),and fluconazole group(0.02 g·kg-1),with 20 mice in each group.Another 20 mice were injected with estradiol benzoate as control group.Treatment started the day after success-ful model establishment and continued for 14 days.Two hours after the last administration,the number of neutrophils in vaginal lavage fluid was examined with Papanicolaou stain.The HE staining method was used to observe the morphology of vaginal tissue.ELISA was used to measure the levels of nicotinamide adenine dinucleo-tide phosphate oxidase 2(NOX2),reactive oxygen species(ROS),su-peroxide dismutase(SOD),malondialdehyde(MDA)in the vaginal tissues.The mRNA expression levels of PI3K,AKT and HIF-1α were detected using qPCR.Western blot was employed to evaluate the protein expression of p-PI3K,PI3K,p-AKT,AKT,and HIF-1α in vaginal tissue.RESULTS Compared to the control group,the model group exhibited a significant increase in neutrophils in va-ginal lavage fluid(P<0.001);the vaginal mucosal layer was severely desquamated and a large number of inflammatory cells infiltrated.Additionally,there was an elevation in NOX2,ROS,and MDA levels in vaginal tissue(P<0.001),while SOD content decreased(P<0.001).Furthermore,the mRNA expression of PI3K,AKT and HIF-1α was reduced along with decreased protein ex-pression of p-PI3K/PI3K,p-AKT/AKT,and HIF-1α(P<0.001).In comparison to the model group,both high-dose and medi-um-dose groups treated with Baitouweng Decoction demonstrated a significant decrease in neutrophil count in lavage fluid(P<0.01,P<0.001);the condition of the vaginal mucosa improved to varying degrees.Moreover,the levels of ROS and MDA in vaginal tissue were reduced(P<0.05,P<0.01,P<0.001),the activity of NOX2 was decreased(P<0.01,P<0.001),and the activity of SOD was increased(P<0.01,P<0.001).The high-dose group showed that,the mRNA expression of PI3K,AKT,and HIF-1α in vaginal tissue was increased(P<0.001),the ratios of p-PI3K/PI3K and p-AKT/AKT,and the protein expression of HIF-1α were increased(P<0.001).CONCLUSION Baitouweng Decoction has a therapeutic effect on VVC,and its mechanism of action may be related to the PI3K/AKT-HIF-1α signal pathway.