OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules， and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column， with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines （2012 edition）， UPLC fi ngerprints were established for 10 batches of Jingangteng capsules， and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）， respectively. The same UPLC method was employed to determine the contents of chlorogenic acid， 3，5-dihydroxy-2-methylbenzoic acid-3- O -glucoside （M1）， caffeic acid， astilbin， oxyresveratrol， quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples， of which 7 were identified as chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories： S1-S4 formed one group， S5 and S6 formed another， S7， S8 and S10 formed a third， and S9 formed a fourth， consistent with the OPLS-DA results； the variable importance projection values for peaks 7， 10， 2， 16 （resveratrol）， 13 （oxyresveratrol）， 11， 6 （caffeic acid）， 5 （M1） and 15 （quercitrin） were ＞1. Quantitative analysis results showed that the contents of chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol were 1.650 8-4.213 7， 0.636 2-2.161 7， 0.031 0-0.086 5， 0.239 1-1.069 3， 0.211 9-1.104 0， 0.488 8-2.399 2， and 0.164 0-0.699 8 mg/g， respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate， accurate， reliable and reproducible； when combined with chemical pattern recognition analysis， they can be used to evaluate the quality of Jingangteng capsules. Nine components， such as resveratrol， oxyresveratrol， caffeic acid， M1 and quercitrin， may serve as markers of quality variation.

Background Benign prostatic hyperplasia (BPH) is a common chronic urinary disease in middle-aged and older men, yet the impact of long-term exposure to atmospheric particulate matter (PM) on its pathogenesis remains unclear. Objective To investigate the association between PM exposure and the risk of incident BPH in middle-aged and older men. Methods Based on four waves of follow-up data (2011–2018) from the China Health and Retirement Longitudinal Study (CHARLS), 4766 participants were enrolled. Robust Poisson regression models were employed to assess the association between exposure to PM (PM₁, PM_2.5, and PM₁₀) and the risk of incident BPH. Relative risks (RR) and their corresponding 95% confidence intervals (95%CI) were calculated. Dose-response relationships were fitted using restricted cubic splines (RCS). Subgroup analyses were performed to explore potential effect modifications, and multiple imputation was used to handle missing data. Results Over a mean follow-up of 6 years, 914 incident BPH cases were identified among the4766 participants (cumulative incidence: 19.18%). After adjusting for confounders, each 10 μg·m⁻³ increase in PM₁, PM_2.5, and PM₁₀ concentrations was associated with a 13.1% (RR=1.131, 95%CI: 1.063, 1.203), 8.5% (RR=1.085, 95%CI: 1.050, 1.122), and 5.1% (RR=1.051, 95%CI: 1.034, 1.069) increased risk of BPH, respectively. RCS analysis showed that no nonlinear relationship was found between PM₁ and PM_2.5 and the risk of BPH (P>0.05); however, a nonlinear association was observed for PM₁₀ (P=0.03), with the risk increment slowing beyond 100 μg·m⁻³. Subgroup and sensitivity analyses confirmed the robustness of these findings. Conclusion Long-term exposure to ambient particulate matter may be associated with an increased risk of incident BPH in middle-aged and older men.

Background Benign prostatic hyperplasia (BPH) is a common chronic urinary disease in middle-aged and older men, yet the impact of long-term exposure to atmospheric particulate matter (PM) on its pathogenesis remains unclear. Objective To investigate the association between PM exposure and the risk of incident BPH in middle-aged and older men. Methods Based on four waves of follow-up data (2011–2018) from the China Health and Retirement Longitudinal Study (CHARLS), 4766 participants were enrolled. Robust Poisson regression models were employed to assess the association between exposure to PM (PM₁, PM_2.5, and PM₁₀) and the risk of incident BPH. Relative risks (RR) and their corresponding 95% confidence intervals (95%CI) were calculated. Dose-response relationships were fitted using restricted cubic splines (RCS). Subgroup analyses were performed to explore potential effect modifications, and multiple imputation was used to handle missing data. Results Over a mean follow-up of 6 years, 914 incident BPH cases were identified among the4766 participants (cumulative incidence: 19.18%). After adjusting for confounders, each 10 μg·m⁻³ increase in PM₁, PM_2.5, and PM₁₀ concentrations was associated with a 13.1% (RR=1.131, 95%CI: 1.063, 1.203), 8.5% (RR=1.085, 95%CI: 1.050, 1.122), and 5.1% (RR=1.051, 95%CI: 1.034, 1.069) increased risk of BPH, respectively. RCS analysis showed that no nonlinear relationship was found between PM₁ and PM_2.5 and the risk of BPH (P>0.05); however, a nonlinear association was observed for PM₁₀ (P=0.03), with the risk increment slowing beyond 100 μg·m⁻³. Subgroup and sensitivity analyses confirmed the robustness of these findings. Conclusion Long-term exposure to ambient particulate matter may be associated with an increased risk of incident BPH in middle-aged and older men.

ObjectiveThis paper aims to investigate and evaluate the staged efficacy and safety of the representative empirical prescription of the “Zhu Ke Jiao” theory， Qijia Rougan prescription， combined with entecavir in the treatment of hepatic fibrosis in chronic hepatitis B. MethodsA multicenter randomized controlled clinical study was conducted， and 101 patients diagnosed with chronic hepatitis B-related hepatic fibrosis （CHB-HF） who met the diagnosis and inclusion criteria were randomly assigned to an observation group （Qijia Rougan prescription + entecavir） and a control group （entecavir）. The treatment duration was 24 weeks. Liver stiffness measurement （LSM）， fibrosis-4 index （FIB-4）， portal vein diameter， hepatitis B serology， biochemical indicators， hepatic fibrosis markers in serum ［hyaluronic acid （HA）， laminin （LN）， procollagen Ⅲ peptide （PⅢP）， and type Ⅳ collagen （Ⅳ-C）］， and traditional Chinese medicine syndrome scores were used as efficacy evaluation indicators. Efficacy assessments and explorations of different staged subgroups of Qijia Rougan prescription were conducted according to LSM values based on the Metavir pathological staging standard. ResultsA total of 98 cases were included for statistical analysis， with 49 cases in the observation group and 49 in the control group. The general data of the patients in both groups were comparable. Compared with the same group before treatment， the observation group showed a significant reduction in LSM and FIB-4 （P<0.01）， as well as notable improvements in LN， Ⅳ-C， and various TCM syndrome scores （P<0.05， P<0.01）. When compared to the control group after treatment， the observation group demonstrated significant improvements in LSM， FIB-4， and various TCM syndrome score indicators （P<0.05， P<0.01）， indicating that the observation group performed better than the control group. Subgroup analysis of the regression of hepatic fibrosis stages showed that compared to the same group before treatment， the observation group had better improvement in regression of stages F2 and F3 （P<0.05）. When compared to the control group after treatment， the observation group exhibited superior improvement in regression of stage F3 （P<0.05）. No adverse events occurred in either group during the treatment period. ConclusionCompared with entecavir alone， the combination of Qijia Rougan prescription and entecavir significantly improves the degree of hepatic fibrosis and clinical TCM symptoms in patients. The optimal intervention period is primarily during stage F3， which is a potential “interception” point of the “Zhu Ke Jiao” theory.

ObjectiveTo evaluate and analyze the syndrome characteristics of Qi and Yin deficiency accompanied by Qi stagnation and blood stasis in a rhein-induced cathartic colon （CC） rat model. MethodsTwenty-four rats were divided into a normal group and a model group （CC group）. The rats were administered equal volumes of physiological saline or 2% rhein suspension by gavage to establish the model over three cycles （approximately 118 days）. The first cycle lasted 46 days， with a dosage of 12 mL·kg^-1·d^-1， administered every other day. The second cycle lasted 37 days， with a dosage of 12 mL·kg^-1·d^-1， administered for 5 consecutive days followed by 2 days of cessation. The third cycle lasted 35 days， with a dosage of 16 mL·kg^-1·d^-1， also administered for 5 consecutive days followed by 2 days of cessation. Each cycle ended when 80% of the rats no longer exhibited loose stools. Body mass， 24 h food intake， coat condition， and coat red （R）， green （G）， and blue （B） values were recorded. The open field test （OFT） was used to measure the total distance traveled to evaluate Qi deficiency. The body mass coefficient and 24 h water intake were recorded to assess Yin deficiency. The sucrose preference test （SPT） was used to determine the sucrose preference rate （SPR）， and the average speed in OFT was measured to evaluate depressive status （liver depression and Qi stagnation）. Tongue images and their R， G， and B values were recorded. Whole blood viscosity （WBV） and plasma viscosity （PV） were measured using an automatic hemorheological analyzer to evaluate blood stasis. A carbon ink propulsion test was performed to determine the intestinal transit rate （ITR） for disease model evaluation. Hematoxylin-eosin （HE） staining was used to observe histopathological changes in the colon. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of transient receptor potential ankyrin 1 （TRPA1） and tryptophan hydroxylase 1 （TPH1） in colon tissue. Western blot was used to detect the protein expression of TRPA1 and TPH1. ResultsIn terms of syndrome indicators， compared with the normal group， the body mass of the CC group decreased （P<0.05）， while 24 h food intake increased （P<0.01）. The coats of the CC group appeared withered， disheveled， and dull， and the R， G， and B values of the coat decreased （P<0.01）. The total distance traveled in OFT decreased （P<0.01）. The body mass coefficient decreased （P<0.01）， while 24 h water intake increased （P<0.05， P<0.01）. The SPR decreased （P<0.01）， and the average speed in OFT slowed （P<0.01）. The tongue appeared dark red， and the R， G， and B values of tongue images decreased （P<0.01）. WBV and PV increased （P<0.01）. Regarding disease indicators， compared with the normal group， the ITR decreased in the CC group （P<0.01）. Pathologically， HE staining showed necrosis and shedding of colonic mucosal epithelial cells， disruption of mucosal continuity， and infiltration of inflammatory cells in the lamina propria in the CC group. Semi-quantitative analysis showed increased HAI scores （P<0.05） and increased inflammatory cell counts and area proportion （P<0.05）. In terms of molecular biological indicators， compared with the normal group， the mRNA and protein expression levels of TRPA1 and TPH1 in colon tissue decreased in the CC group （P<0.05， P<0.01）. ConclusionThe rhein-induced CC rat model conforms to the traditional Chinese medicine syndrome characteristics of Qi and Yin deficiency accompanied by Qi stagnation and blood stasis.

ObjectiveTo investigate the feasibility， safety， and efficacy of surgery-assisted transjugular intrahepatic portosystemic shunt （SA-TIPS） in the treatment of portal hypertension comorbid with complex portal vein thrombosis， including cavernous transformation of the portal vein （CTPV）. MethodsAn analysis was performed for the data of 36 patients with portal hypertension and complex portal vein thrombosis who underwent SA-TIPS in Beijing Shijitan Hospital， Capital Medical University， from November 2023 to January 2025， including general status， technical data of the surgical process （surgical success rate， puncture times， time of operation， the number of stents used， and the length of shunt）， perioperative complications， and surgical recovery. The change in portal pressure gradient （PPG） after shunt was compared， and the rate of reaching the standard for PPG reduction was calculated， as well as stent patency rate within 1 week after surgery. The paired samples t-test was used for comparison of continuous data between two groups. ResultsAmong the 36 patients， 34 （94.4%） underwent SA-TIPS successfully. The incidence rate of perioperative complications was 16.7% （6/36）， including 3 cases of thoraco-abdominal hemorrhage， 2 cases of intraoperative arrhythmia， and 1 case of incision infection. There was a significant reduction in PPG after SA-TIPS （t=19.85， P<0.01）， and the patients achieving a ≥50% reduction in PPG accounted for 76.5% （26/34）. Imaging reexamination within 1 week showed a shunt patency rate of 100%. ConclusionSA-TIPS has a high technical success rate， a favorable safety profile， and good efficacy in the treatment of portal hypertension comorbid with complex portal vein thrombosis （including CTPV）， and therefore， it holds promise for clinical application.

OBJECTIVE To investigate the antidepressant effect and underlying mechanism of total triterpenes from Poriae Cutis （PCTT）. METHODS UPLC-Q-TOF-MS technology was adopted to analyze the chemical constituents of PCTT. Network pharmacology was applied to screen the antidepressant active ingredients， key targets and signaling pathways of PCTT， and molecular docking was performed to verify the binding capacity between potential active ingredients and core targets. In animal experiment， mice were intragastrically administered PCTT at doses of 80， 160 and 320 mg/kg for 14 consecutive days. Lipopolysaccharide was used to establish an acute depression mouse model. Subsequently， behavioral assays were conducted. The levels of serum inflammatory factors， hippocampal neurotransmitters and brain-derived neurotrophic factor （BDNF） were detected. Western blot and qPCR assays were adopted to validate the antidepressant mechanism of PCTT. RESULTS A total of 101 chemical constituents were identified in PCTT. Network pharmacology screened out 10 potential active ingredients （including poriacosone B， poriacosone A， pachymic acid， etc.）， six core targets [including tumor necrosis factor （TNF）， peroxisome proliferator-activated receptor， caspase-3， etc.]， as well as multiple signaling pathways including TNF and interleukin-17 （IL-17）. All 10 potential active ingredients exhibited strong binding affinity to the six core targets. Animal experimental results demonstrated that 320 mg/kg PCTT markedly increased the movement distance and movement speed of depression model mice （P＜0.05）， and shortened immobility time in tail suspension test and forced swimming test （P＜0.05）. PCTT reduced serum levels of IL-6， IL-1β and TNF-α， decreased hippocampal glutamate level； it also downregulated the relative mRNA expression of TNF-α， tumor necrosis factor receptor-2 （TNFR2）， phosphoinositide 3-kinase （PI3K） and protein kinase B （AKT）， as well as TNFR2 protein expression and the ratios of phosphorylated-PI3K/PI3K，phosphorylated-AKT/AKT in the prefrontal cortex. Meanwhile， PCTT elevated the levels of 5- hydroxytryptamine， dopamine and BDNF in the hippocampus. CONCLUSIONS PCTT exerts antidepressant effects possibly by regulating the TNF-α/PI3K/AKT signaling pathway to downregulate the expression of pro-inflammatory factors， thereby modulating the release of neurotransmitters and BDNF.

ObjectiveTo construct and evaluate various machine learning models for predicting the risk of chronic obstructive pulmonary disease （COPD） in individuals， thereby providing data support for early screening and intervention. MethodsA total of 823 subjects were selected for this study， comprising 142 individuals in the high-risk group for COPD and 681 individuals in the low-risk group. Data collected included demographic characteristics， smoking history， symptoms （such as cough and shortness of breath）， and scores from the Chronic obstructive pulmonary disease screening questionnaire. Four machine learning algorithms—Logistic regression， random forest， support vector machine， and XGBoost—were utilized to construct risk prediction models. The performance of these models was assessed using 5-fold cross-validation， with evaluation metrics including accuracy， precision， recall， F1-score， area under the receiver operating characteristic curve （AUC）， and average precision （AP）. Furthermore， a feature importance analysis was performed. ResultsThe Logistic Regression model exhibited superior performance， achieving an AUC of 0.982 and an AP of 0.939. This was closely followed by the Random Forest model， which recorded an AUC of 0.975 and an AP of 0.890. Feature importance analysis revealed that smoking history， symptoms of shortness of breath， and body weight were significant predictors. All models demonstrated robust performance in identifying low-risk populations； however， variations were observed in their efficacy in identifying high-risk populations. ConclusionMachine learning models have proven effective in identifying individuals at high risk for COPD. Among these， the Logistic regression model exhibits the best overall performance， efficiently identifying high-risk populations and serving as a valuable clinical auxiliary screening tool. Various models， each with distinct performance characteristics， are suited to different clinical screening scenarios， thereby offering targeted decision-making support for the establishment of a hierarchical and intelligent COPD screening pathway.

ObjectiveTo explore the efficacy and potential neural mechanisms of individualized precision rehabilitation combining multimodal neuromodulation technologies under the guidance of multidisciplinary team (MDT)-based whole process dynamic assessment in a patient with large-area cerebral infarction who responded poorly to conventional rehabilitation. MethodsA 38-year-old male patient presented with hemiplegia and complete aphasia following large-area cerebral infarction in the left fronto-temporo-parietal lobe and basal ganglia due to arterial dissection. Under the MDT framework, the patient underwent six months of inpatient rehabilitation and one month of outpatient follow-up. Multimodal assessments were performed at multiple time points using diffusion tensor imaging (DTI), functional magnetic resonance imaging (fMRI), three-dimensional gait analysis and 128-channel electroencephalogram (EEG) monitoring, combined with standardized scales, such as Chinese Rehabilitation Research Center Standard Aphasia Examination (CRRCAE), Loewenstein Occupational Therapy Cognitive Assessment (LOTCA), simplified Fugl-Meyer Assessment (FMA) and modified Barthel Index (MBI). The rehabilitation protocol integrated conventional therapies with multimodal interventions, including multi-target transcranial magnetic stimulation, brain-computer interface (BCI)-driven robotic hand training and task-oriented virtual reality upper limb training. ResultsAfter intervention, the patient showed significant improvements: LOTCA score increased by 16 points, CRRCAE subscale scores improved by 60% to 90%, total FMA score increased from 20 to 54, FMA-Balance reached 12, and MBI improved from 40 to 91. DTI revealed an increase in global fiber tract count, elevated fractional anisotropy in the corpus callosum and right corticospinal tract, and significantly increased amplitude of low-frequency fluctuations and regional homogeneity in specific brain regions on fMRI. Event-related desynchronization dynamically decreased during BCI training, and three-dimensional gait parameters showed overall improvement. ConclusionFor patients with large-area stroke who respond inadequately to conventional rehabilitation, an individualized precision rehabilitation system based on MDT whole-process dynamic assessment and integrating multimodal neuromodulation with conventional therapy can effectively enhance cognitive, language, motor functions and activities of daily living. Neuroimaging and electrophysiological findings suggest that the mechanism may involve promoting neural fiber remodeling and modulating regional brain activity.

ObjectiveTo evaluate the clinical efficacy of Zuogui Pill （左归丸，ZGP） decoction on neurological function， motor function， and activities of daily living in patients with ischemic stroke （IS） of liver-kidney yin deficiency syndrome， and to assess its potential mechanisms from the perspectives of cerebral perfusion and corticospinal tract （CST） remodeling. MethodsA total of 108 patients with IS of liver-kidney yin deficiency syndrome and onset time ≤14 days were enrolled and randomly divided into a control group and a treatment group， with 54 cases in each group. The control group received conventional western medicine， while the treatment group received ZGP decoction （one dose per day） in addition to the conventional treatment. Both groups were treated for 90 days. The National Institutes of Health Stroke Scale （NIHSS）， modified Rankin Scale （mRS）， modified Barthel Index （MBI）， Fugl-Meyer Assessment （FMA）， and Chinese medicine syndrome score （CMS） were evaluated before treatment and after （90±3） days of treatment. Three-dimensional arterial spin labeling （3D-ASL） and diffusion tensor imaging （DTI） were performed to obtain ipsilesional cerebral blood flow （CBF） in the unaffected and affected hemispheres， relative CBF （rCBF）， and fractional anisotropy （FA） of the CST. Nodal analysis of FA values along the CST was also conducted. Correlation analysis was used to assess the relationships between post-treatment cerebral perfusion parameters （CBF and rCBF）， and FA values with clinical neurological function scores. ResultsAfter treatment， both groups showed significantly decreased NIHSS， mRS and CMS scores， together with significantly increased FMA and MBI scores （P＜0.01）. Intergroup comparison showed that NIHSS， mRS， and CMS scores in the treatment group were significantly lower than those in the control group ， while MBI and FMA scores were significantly higher （P＜0.01）. The 3D-ASL results revealed that CBF and rCBF values in the affected hemisphere significantly increased in both groups after treatment， and the treatment group had significantly higher values （P＜0.01）. DTI showed that the FA value of the CST on the affected side in the treatment group was significantly higher than that in the control group after treatment （P＜0.05）. Nodal analysis along the CST further demonstrated that the continuity of FA values at lesion-related nodes 45~99 in the treatment group was significantly better than that in the control group （P＜0.01）， with significant increases at nodes 65~71 and 76~81 compared with baseline （P＜0.05 or P＜0.01）， whereas the control group showed a decreasing trend at nodes 80~93 （P＜0.05）. Correlation analysis indicated that CBF and rCBF values in the affected hemisphere were negatively correlated with NIHSS and mRS scores and positively correlated with MBI score （P＜0.05）. FA value of the CST on the affected side， both before and after treatment， were negatively correlated with NIHSS score and positively correlated with FMA score （P＜0.05 or P＜0.01）. ConclusionZGP decoction can effectively improve neurological function， motor function， and activities of daily living in IS patients with liver-kidney yin deficiency syndrome， and its mechanism may be related to enhanced cerebral perfusion in the affected hemisphere and corticospinal tract structural remodeling.