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.

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.

Lung cancer is one of the most lethal cancers, and the overall survival rate of lung cancer patients is very low. With the increasing research on lung cancer, the critical role of intestinal flora in lung cancer treatment has been gradually discovered. Among the various therapeutic approaches targeting the intestinal flora, fecal microbiota transplantation (FMT) is considered as a potential strategy to treat lung cancer by interfering with the homeostasis of the intestinal flora. FMT can improve the efficacy of lung cancer treatment and attenuate the side effects associated with immunotherapy, chemotherapy, and radiotherapy by remodeling the microbial composition, modulating the metabolites, and activating immune responses. The aim of this paper is to discuss the current status and potential mechanisms of FMT in lung cancer treatment, and to provide a new strategy for regulating the intestinal flora to enhance the prevention and treatment of lung cancer.

OBJECTIVE To construct a refined intelligent management platform for the supply chain of hospital preparations and to evaluate its implementation effectiveness.METHODS Machine learning and classical time series model were used to predict the demand for hospital preparations. Based on the prediction results， an intelligent management platform was constructed around each link of the supply chain of hospital preparations， which included three functional modules： intelligent auxiliary decision-making， daily expiry date monitoring， and intelligent push and continuous improvement. By comparing indicators such as the mean of average inventory turnover days of each preparation， average monthly expired and scrapped amount， and average clinical satisfaction before and after the application of the platform in the First Affiliated Hospital of Soochow University， the application effectiveness was evaluated from three dimensions: cost control， operational efficiency， and pharmaceutical care service quality.RESULTS The constructed intelligent management platform could automatically generate dynamic inventory grading alerts， production plan suggestions， material procurement suggestions， and expiry date alerts， and intelligently push them to relevant responsible persons. Compared with before the application， in terms of cost control， the mean of average inventory turnover days of each preparation was shortened from 64.1 days to 48.4 days， and the average monthly expired and scrapped amount was reduced from 1 973 yuan to 1 369 yuan； in terms of operational efficiency， the average time for production plan formulation was shortened from 120 min to 60 min， and the average lag days of expiry date alert information was shortened from 15 days to 0.5 days； in terms of pharmaceutical care service quality， the average clinical satisfaction increased from 85.4% to 94.6%.CONCLUSIONS The refined intelligent management platform for the supply chain of hospital preparations has been successfully constructed， which can assist managers in decision-making regarding production plan formulation， procurement， and disposal of near-expiry preparations and materials， thereby achieving the purpose of cost reduction and efficiency improvement.

Objective: To explore the associations between caregivers nutrition literacy and pediatric nonalcoholic fatty liver disease (NAFLD), so as to provide scientific evidence for the key contents of family intervention measures. Methods: In September 2022, a study involving 1 609 thirdgrade students and their caregivers from six schools in Yinzhou, Haishu, and Zhenhai Districts of Ningbo City, Zhejiang Province, was conducted. Venous blood samples were collected to measure lipid profiles and investigate the prevalence of nonalcoholic fatty liver disease (NAFLD) among the children. Family Food Environment Questionnaire was used to assess the nutrition literacy levels of the caregivers. Generalized linear regression analysis was employed to explore the correlation between caregivers nutrition literacy levels and the prevalence of NAFLD in children. Results: Among the surveyed students, 191 were in the NAFLD group, whereas 1 418 were in the nonNAFLD group. The median nutrition literacy score of caregivers in the NAFLD group and nonNAFLD group all were 11.00 (9.00,12.00), which was not significantly different (Z=-0.40, P=0.71). The generalized linear regression results revealed that the level of nutrition literacy of caregivers had no significant effect on childrens Triglyceride-glucose (TyG) index and Triglyceride-glucose-Waisttoheight ratio (TyG-WHtR) [β(95%CI) were 0.001(-0.005-0.006) and 0.000(-0.014-0.014), P>0.05]. Conclusions The nutrition literacy level of caregivers has no significant correlation with the direct incidence of NAFLD in children. As for family intervention measures, it is necessary not only to improve the nutrition literacy level of caregivers but also to effectively apply nutritional knowledge in practice to optimize health management.

BackgroundRumination can play a certain degree role of psychological adjustment in cancer patients. Previous studies have focused on studying the level of rumination in a single type of cancer patient， but there is a lack of comprehensive investigation and influencing factor research on rumination levels in different types of cancer patients. ObjectiveTo explore the level of rumination and its influencing factors among middle-advanced cancer inpatients， so as to provide certain guidance for targeted psychological care in clinical practice. MethodsFrom January 2021 to December 2022， a systematic sampling technique was used to recruit 346 patients with TNM stage III or above tumors hospitalized in Nuclear Industry 416 Hospital， Chengdu Sixth People's Hospital and the First People's Hospital of Yibin. All individuals were assessed using Perceived Social Support Scale （PSSS） and the Chinese version of Event-Related Ruminant Inventory （C-ERRI）， and Logistic regression analysis was utilized to identify the influencing factors of rumination. ResultsIn terms of C-ERRI， patients scored （15.59±5.61） on intrusive rumination and （14.59±5.43） on deliberate rumination. Education levels of junior high school/high school/vocational training school （OR=0.817， P<0.01） and junior college and above （OR=0.579， P<0.05） were the protective factors of intrusive rumination， whereas annual personal incomes of <10 000 yuan （OR=4.918， P<0.01） or 10 000~50 000 yuan （OR=2.076， P<0.01） and low （OR=6.882， P<0.01） or middle （OR=3.114， P<0.01） level of social support were the risk factors of intrusive rumination. For deliberate rumination， education levels of junior high school/high school/vocational training school （OR=0.574， P<0.01） and junior college and above （OR=0.449， P<0.05） were the protective factors， and low （OR=1.391， P<0.01） or middle （OR=1.161， P<0.05） levels of social support were the risk factors. ConclusionThe level of intrusive rumination of inpatients with middle-advanced cancer is related to education level， economic status and social support， furthermore， the level of deliberate rumination is related to the educational level and social support. ［Funded by Medical Research Project of Chengdu Health Commission （ number， 2020119）］

Objective: To evaluates the association between maternal overweight/obesity during pregnancy and offspring risk of metabolic dysfunction associated steatotic liver disease (MASLD), providing theoretical evidence for early life MASLD prevention. Methods: An online search was conducted across ten databases (CNKI, Wanfang, SinoMed, PubMed, Embase, Web of Science, Cochrane Library, PROSPERO, PQDT Global, ScienceDirect) for research literature on the association between maternal overweight/obesity during pregnancy and the development of MASLD in offspring, with the search period spanning from January 2014 to December 2024. Two researchers independently screened literature, extracted data, and assessed study quality. Statistical analysis was performed using R 4.3.3. Results: Ten studies involving 10 229 participants were included, comprising 4 cohort studies and 6 case control studies. Cohort studies showed that maternal overweight and obesity significantly increased offspring MASLD risk ( RR=1.59, 95%CI=1.06-2.39, P <0.05), with moderate heterogeneity ( I 2=56.9%, P =0.07). Case control studies indicated a positive association between maternal overweight/obesity during pregnancy and offspring risk of MASLD( OR=2.00, 95%CI=1.68-2.39, P < 0.05), with low heterogeneity ( I 2=48.8%, P =0.08). Conclusions Maternal overweight/obesity during pregnancy positively correlates with offspring MASLD risk. Gestational weight management may reduce the risk.

Objective To investigate the association between 8 insulin resistance(IR)surrogate markers and incident atherosclerotic cardiovascular disease(ASCVD)in population with cardiovascular-kidney-metabolic syndrome(CKM)of stages 0-3,and to identify the surrogate marker with the best predictive performance.Methods A study was conducted on 20121 community residents classified as CKM stages 0-3 from the Chengdu cohort of the China Multi-Ethic Cohort.A Cox proportional hazards model was used to calculate hazard ratios(HRs)between each IR surrogate marker and incident ASCVD.Cubic spline regression was employed to explore the dose-response relationships between these markers and incident ASCVD.The relative relationships between different markers and incident ASCVD were examined through the ratio of HRs(RHRs).Time-dependent area under the receiver operating characteristic curve(TDAUC)and Uno's C-statistic were calculated to compare the predictive performance of each marker for incident ASCVD.Based on the PREVENT equation components and the 8 surrogate markers under analysis,random forest feature selection was used to determine the contribution of each marker to accurate prediction.Results During a follow-up period of82 741.93 person-years,1447 incident cases of ASCVD were recorded,with an incidence density of 17.49 per 1000 person-years.Association analyses indicated that the triglyceride to high-density lipoprotein cholesterol ratio(TG/HDL)and the TyG/(TG/HDL)index were not associated with incident ASCVD(P＞0.05).The TyG index combined with obesity measurement parameters emerged as a reliable predictor of ASCVD incidence.The most promising indicator,TyG index with waist-to-height ratio(TyG_WHtR),exhibited an inverted J-shaped association with incident ASCVD(P for nonlinearity=0.045;TDAUC=0.640;C=0.634),while the TyG index with body mass index(TyG_BMI),waist circumference(TyG_WC),and waist-to-hip ratio(TyG_WHR)showed positive linear associations(all P for trend＜0.05),with relatively lower predictive performance(C=0.564,0.588,and 0.598,respectively).Although both the TyG index and the metabolic score for insulin resistance(METS-IR)were associated with increased ASCVD risk(TyG:Q2 vs.Q1,HR=1.23 and Q4 vs.Q1,HR=1.24;METS-IR:P for non-linearity=0.045),they exhibited poor predictive performance for incident ASCVD.Conclusion The TyG index combined with obesity measurement parameters is an ideal IR surrogate marker for predicting incident ASCVD in populations with stages 0-3 CKM.Monitoring these markers will facilitate the prevention and control of cardiovascular diseases in CKM populations.

Objective To develop a machine learning(ML)-based prediction model for assessing the therapeutic effects of resveratrol(RES)on the pathological damage of acute pancreatitis(AP),and to optimize RES administration strategies for AP through validation using an animal model.Methods AAn ML-based prediction model was constructed using published data.Interpretability analysis was applied to identify high-efficacy zones within the parameter space of administration dose and frequency,which was followed by rigorous screening to select the optimal dosing strategy that balanced therapeutic efficacy and experimental feasibility.A total of 32 C57BL/6 mice were randomly assigned to 4 groups(n=8 per group),including a control group(Ctrl),an AP model group induced by caerulein(CER)and referred to as CER-AP,a treatment group receiving RES via intraperitoneal injection(RES i.p.),and a treatment group receiving RES via intragastric gavage(RES i.g.).The Ctrl group received intraperitoneal injection of normal saline.The CER-AP and the treatment groups were induced with 10 intraperitoneal injections of CER at 50 μg/kg.RES was administered to the RES i.p.and RES i.g.groups according to the optimal dose and timing predicted by the ML model.Blood and tissue samples were collected 12 hours after the experiment started.Results The gradient boosting decision tree model,optimized via Hyperopt,yielded the best performance,predicting that the optimal dose and administration frequency were 19.992 mg/kg and 3.828 times,respectively.Accordingly,a regimen of 20 mg/kg RES,administered four times,was used in the animal experiments.Compared with the Ctrl group,the CER-AP group exhibited higher pancreatic pathology scores and elevated levels of serum amylase,lipase,pancreatic myeloperoxidase,and trypsin,with all differences reaching statistical significance(all P<0.05).The administration of 20 mg/kg RES via both intraperitoneal injection and intragastric gavage mitigated pancreatic inflammatory cell infiltration and necrosis,improved the overall pathology score,and reduced serum amylase,lipase,and pancreatic myeloperoxidase levels to varying degrees(all P<0.05).Conclusion A regimen of 20 mg/kg RES administered four times effectively alleviates the severity of CER-induced AP.The therapeutic benefits appear to arise from a multi-target regulatory network that simultaneously suppresses inflammatory cascades,mitigates oxidative stress,and reduces apoptosis,thereby reducing pancreatic tissue damage and systemic inflammatory responses.