Stroke is the leading cause of death and disability among adults in China， and its common complications include digestive system abnormalities， cognitive impairment， depression， stroke-associated pneumonia， and hemiplegia. The combination of traditional Chinese and Western medicine has great potential in treating post-stroke complications. Xinglou Chengqitang （XLCQT） is a representative prescription of alleviating the disease in the upper part by treating the lower part. It has definite therapeutic effect and high safety. Clinically， XLCQT is often used to treat stroke and its complications. However， the quantity and quality of clinical trials of XLCQT in treating post-stroke complications need to be improved. Additionally， since the basic research is weak， the material basis and multi-target mechanism for the efficacy of this prescription are unknown. This article reviews XLCQT in terms of the pharmacodynamic basis， medicinal properties， safety evaluation， and progress in clinical research and mechanisms in treating post-stroke complications. This article summarizes 22 key active ingredients of XLCQT in treating acute stroke complicated with syndrome of phlegm heat and fu-organ excess. Among these key active ingredients， resveratrol， kaempferol， luteolin， chrysoeriol， apigenin， （+）-catechin， and adenosine have good pharmacokinetic properties and high bioavailability. The mechanisms of XLCQT in treating post-stroke complications are complex， including inflammatory response， brain-gut axis， hypothalamic-pituitary-adrenal （HPA） axis， intestinal flora， neurotrophic factors， autophagy， oxidative stress， and free radical damage. This review helps to deeply understand the pharmacodynamic basis and mechanisms of XLCQT in treating post-stroke complications and provides a theoretical basis for the clinical application of XLCQT against post-stroke complications and the development of drugs.

Animal model research on spleen and stomach diseases in traditional Chinese medicine （TCM） is of great significance for elucidating the nature of diseases and syndromes and for revealing the mechanisms of action of Chinese herbal medicinals. At present， studies on classical TCM syndrome models of spleen and stomach diseases mainly focus on spleen deficiency syndrome， liver constraint syndrome， and damp-heat syndrome. Model construction is mostly based on the etiological and pathophysiological characteristics of syndrome， and model evaluation primarily involves macroscopic manifestations and physicochemical indicators. This paper summarizes the current research status of animal models integrating disease and syndrome for seven common spleen and stomach diseases， including chronic gastritis and gastric precancerous lesions， gastroesophageal reflux disease， functional dyspepsia， inflammatory bowel disease， irritable bowel syndrome， functional constipation， and functional diarrhea. The modeling methods and characteristics of disease-syndrome combined animal models for each disease are analyzed. It is proposed that future research on disease-syndrome integration in spleen and stomach diseases should move toward syste-matic， precise， and integrative development， and that interdisciplinary and cross-disciplinary research approaches should be adopted to enhance the predictive value and application efficiency of disease-syndrome combined animal models.

Since the founding of the People’s Republic of China, remarkable achievements have been gained in infectious disease prevention and control, and rich practical experiences have been accumulated. If these experiences are shared with developing countries, it will greatly contribute to global infectious disease control and global health security. Under the framework of Forum on China-Africa Cooperation, a series of China-Africa public health capacity training programs have been recently held in China, in order to help improve the capability of infectious disease control in African countries. This article summarized and refined good design concepts and practices from these programs, so as to provide insights into sustainable optimization of China-Africa public health capacity training and improvements of the training effectiveness.

ObjectiveTo explore the mechanism by which Qiangjing tablets （QJT） alleviate the spermatogenic function damage caused by varicocele （VC） based on the Kelch-like ECH-associated protein 1 （Keap1）/nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway-mediated oxidative stress. MethodsTen Sprague-Dawley （SD） rats were randomly assigned into a control group and a model group. Pathological examination confirmed the stability of the model. Thirty-six SD rats were randomized into control， model， low-dose （0.23 g·kg^-1） QJT， medium-dose （0.46 g·kg^-1） QJT， high-dose （0.92 g·kg^-1） QJT， and mazhilin （61.7 mg·kg^-1） groups， with 6 rats in each group. A rat model of experimental left varicocele （ELV） was established by partially ligating the left renal vein to simulate the human nutcracker syndrome. The rats were administrated with corresponding agents once a day for 28 consecutive days. The in vitro testicular culture model of rats was established through the Transwell chamber method and intervened with QJT-containing sera （2.3， 4.6， and 9.2 g·kg^-1）. Microscopic observation was carried out for the morphology of the left kidney. A micrometer was used to measure the diameter of the left spermatic vein （LSV）. The body weights of rats were recorded weekly， and the epididymis and testis weights were measured. The pathological changes of the testicular tissue was observed via hematoxylin-eosin （HE） staining. The levels of testosterone （T） in the cell culture supernatant and reactive oxygen species （ROS） in the rat testicular tissue were measured by enzyme-linked immunosorbent assay （ELISA）. Flow cytometry was employed to determine the ROS content. Immunohistochemical staining was conducted to analyze Keap1， Nrf2， 3β-hydroxysteroid dehydrogenase （3β-Hsd）， GATA-binding protein-4 （Gata-4）， and proto-oncogene receptor tyrosine kinase （C-kit）. The ultrastructure of the tissue was observed by transmission electron microscopy （TEM）. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） staining. The expression of Keap1， Nrf2， glutathione S-transferase α2 （Gsta2）， glutathione S-transferase μ1 （Gstm1）， heme oxygenase-1 （HO-1）， quinone oxidoreductase 1 （Nqo1）， and thioredoxin reductase 1 （Txnrd1） was quantified by Real-time quantitative polymerase chain reaction（Real-time PCR） and Western blot. ResultsCompared with the control group， the ROS content and the percentage of apoptotic cells in the model group were significantly increased （P<0.01）， the T concentration was significantly decreased （P<0.01）， the mRNA and protein expressions of Keap1 were significantly increased （P<0.01）， and the mRNA and protein expressions of Nrf2， Gsta2， Gstm1， HO-1， Nqo1 and Txnrd1 were significantly decreased （P<0.05）. Compared with the model group， the ROS content and the percentage of apoptotic cells in each dose group of the Qiangjing Tablets were significantly reduced （P<0.05）， and the mRNA and protein expressions of Keap1 were significantly decreased （P<0.05）， while the mRNA and protein expressions of Nrf2， Gsta2， Gstm1， HO-1， Nqo1 and Txnrd1 were significantly increased （P<0.05）. ConclusionQJT improves sperm motility in the rat model of VC by modulating the Keap1/Nrf2 signaling pathway and reducing oxidative stress injury.

Objective Jiangtang Tiaozhi Formula(JTTZF)is highly effective in improving glycolipid metabolism disorder.However,its exact mechanism of action has not been fully elucidated.This study aims to explore the potential targets and mechanisms of JTTZF in improving glycolipid metabolism disorder through network pharmacology,molecular docking,molecular dynamics simulations,and experimental validation.Methods Glycolipid metabolism disorder-related targets were obtained from the GeneCards database,while the relevant action targets of the main active ingredients of JTTZF were obtained from the CTD and SwissTargetPrediction databases.Protein-protein interaction(PPI)networks were constructed using STRING and Cytoscape.After selecting the potential key targets,Gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis were conducted through the Metascape database,and a network map of"herb-active ingredient-target-pathway"was constructed.Molecular docking was carried out using AutoDock vina and PyMOL software to verify the correlation between the main components of JTTZF and the core targets.Molecular dynamics simulation was conducted for optimal core protein-compound complexes obtained by molecular docking.A mouse glycolipid metabolism disorder model was established,and the results of network pharmacology were verified by in vivo experiments.Results Topological analysis of the PPI network revealed ten core targets,including TNF,CTNNB1,AKT1,NF-κB1,ESR1,FN1,TP53,IL-1β,IL-6,and EGFR.GO functional enrichment analysis showed that these targets were mainly related to signal transduction and transcriptional regulation.KEGG pathway analysis showed that these targets were related to lipid and atherosclerosis pathway.Molecular docking results reported that the core active ingredient of JTTZF has a certain binding affinity with AKT1,FN1,and IL-6.Molecular dynamics simulations revealed good binding ability between lovastatin,coptisine,salvianolic acid B,and AKT1.Animal experiments showed that JTTZF may reduce blood glucose and blood lipid levels and improve glycolipid metabolism disorder by down-regulating the expression of AKT1,TP53,and inflammatory regulators in lipid and atherosclerotic pathway,inhibiting the expression of FN1 and EGFR,and increasing the expression of CTNNB1 and ESR1.Conclusion JTTZF participates in the regulation of lipid and atherosclerotic pathway,and comprehensively regulates glucose and lipid metabolism and improves atherosclerotic lesions,thereby preventing and treating the occurrence and development of glycolipid metabolism disorder and its complications.

Objective:To systematically retrieve, extract and summarize the best evidence regarding the prevention and management of perioperative gastrointestinal dysfunction in patients with colorectal cancer, and to provide an evidence-based basis for clinical nursing practice.Methods:All evidence on the prevention and management of perioperative gastrointestinal dysfunction in colorectal cancer patients in various domestic and international databases and websites such as UpToDate, China national knowledge infrastructure, etc. were searched according to the "6S" pyramid model, including clinical decisions, guidelines, expert consensus, systematic evaluations, and randomized controlled trials from the time of database construction to August 15, 2024, on a top-to-bottom basis. Literature screening, quality assessment, and evidence extraction were performed independently by 2 nursing researchers.Results:A total of 19 documents were finally included, included 4 guidelines, 3 expert consensus, 7 systematic evaluations, 1 Meta-analysis, and 4 randomized controlled trials, and 35 pieces of evidence were summarized in 6 areas, including screening and assessment, build a multidisciplinary team, preoperative preparation, intraoperative monitoring, postoperative care, and evaluation of outcomes.Conclusions:The evidence summarized in this study is both scientifically rigorous and practically applicable, and can be used by healthcare professionals to design care plans for colorectal cancer patients that accelerate the recovery of gastrointestinal function, thereby promoting evidence-based clinical nursing practice.

Objective To explore the influencing factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial internal carotid artery(ICA)stenosis and to construct a nomogram prediction model.Methods This study retrospectively and consecutively enrolled patients diagnosed with unilateral moderate-to-severe extracranial ICA stenosis and exhibited indications for carotid endarterectomy(CEA)hospitalized in the Department of Neurosurgery at the First Affiliated Hospital of Soochow University,between August 2019 and September 2024.The patients were divided into a stroke group and a non-stroke group,based on their clinical presentation and head MRI results.Baseline characteristics and clinical data including age,sex,body mass index,blood pressure(systolic and diastolic pressure[＜140 mmHg,140-＜160 mmHg,≥160 mmHg]),hypertension,diabetes,smoking and alcohol consumption history,use of statin and antiplatelet medication,fasting blood glucose,high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),triglycerides(TG),total cholesterol(TC)were collected and ratios between LDL-C/HDL-C,TG/HDL-C,non-HDL-C(calculated according to equation:non-HDL-C=TC-HDL-C),and non-HDL-C/HDL-C(nHHR)were calculated based on aforementioned data.The clinical and baseline data were then compared between two groups.Imaging data included side of carotid artery stenosis(identified through neck vascular ultrasound,CT angiography and/or DSA),degree of carotid stenosis(with 50％-69％categorized as moderate stenosis,and,70％-99％as severe stenosis),plaque echogenicity(predominantly low,medium or high),plaque calcification(surface and basal calcification),plaque ulceration(exists or not),bilateral middle cerebral artery(MCA)hemodynamic parameters measured by transcranial Doppler ultrasound(including,mean flow velocity[Vm],peak systolic velocity[Vs],end-diastolic velocity[Vd]),and the pulsatility index(PI,calculated via formula:PI=[Vs-Vd]/Vm).The hemodynamic parameter differences(△Vm,△Vs,△Vd,△PI)between the healthy and affected MCA were calculated.The baseline,clinical and imaging data with P＜0.05 in univariate analysis were included in multivariate Logistic regression analysis using forward stepwise selection to identify influencing factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis,and a nomogram prediction model was then constructed base on the analyzed results.Receiver operating characteristic curves were plotted,and the area under the curve(AUC)was calculated to evaluate the predictive performance of the nomogram.Delong's test was used to compare AUC differences between single indicators and the combined model.Results A total of 166 patients with unilateral moderate-to-severe extracranial ICA stenosis and CEA indication were included.In which,99 patients were in the stroke group and 67 patients were in the non-stroke group.The stroke group had a significantly higher proportion of hypertension patients(78.8％[78/99]vs.59.7％[40/67],P=0.008),higher systolic blood pressure([152±15]mmHg vs.[137±18]mmHg,P＜0.01),higher diastolic blood pressure([84±10]mmHg vs.[80±10]mmHg,P=0.042),higher TG(1.33[0.95,1.77]mmol/L vs.1.10[0.87,1.48]mmol/L,P=0.019),higher TG/HDL-C(1.35[0.97,2.08]vs.1.07[0.81,1.52],P=0.003),and higher nHHR(2.89[2.25,3.61]vs.2.48[1.93,3.27],P=0.027)than the non-stroke group.The HDL-C was significantly lower in the stroke group(0.96[0.80,1.15]mmol/L vs.1.03[0.91,1.16]mmol/L,P=0.014).Statistically significant differences were also observed in the distribution of systolic blood pressure between the groups(P＜0.01).No significant differences were found in other clinical data(all P＞0.05).The proportion of patients with carotid plaque ulceration was higher in the stroke group(35.4％[35/99]vs.16.4％[11/67],P=0.007),while stenosis side,stenosis degree,plaque echogenicity,and plaque calcification type showed no significant differences between the groups(all P＞0.05).△Vm(19[4,32]cm/s vs.10[-3,21]cm/s,P=0.001),△Vs(32[9,55]cm/s vs.24[3,40]cm/s,P=0.005),and △Vd(10[-1,19]cm/s vs.6[-3,12]cm/s,P=0.006)were significantly higher in the stroke group.No significant difference was found in △PI(P=0.076).Multivariate Logistic regression analysis identified high systolic blood pressure(OR,1.063,95％CI 1.036-1.090,P＜0.01),high TG/HDL-C(OR,2.802,95％CI 1.551-5.061,P=0.001),high △Vm(OR,1.032,95％CI 1.010-1.055,P=0.004),and plaque ulceration(OR,2.777,95％CI 1.123-6.871,P=0.027)as independent risk factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis.Systolic blood pressure,TG/HDL-C,△Vm and plaque ulceration were involved in the construction of a combined predictive model for ischemic stroke in the targeted patient group(with unilateral moderate-to-severe extracranial ICA stenosis).The AUC of the combined prediction model was 0.828(95％CI 0.765-0.892,P＜0.01),which was significantly higher than the predictive efficacy of any single factor(all P＜0.01).Conclusions High systolic blood pressure,high TG/HDL-C ratio,high △Vm,and plaque ulceration are independent risk factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis.The nomogram prediction model based on these factors demonstrates good predictive value for assessing ischemic stroke risk in this patient population.

Objective To explore the influencing factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial internal carotid artery(ICA)stenosis and to construct a nomogram prediction model.Methods This study retrospectively and consecutively enrolled patients diagnosed with unilateral moderate-to-severe extracranial ICA stenosis and exhibited indications for carotid endarterectomy(CEA)hospitalized in the Department of Neurosurgery at the First Affiliated Hospital of Soochow University,between August 2019 and September 2024.The patients were divided into a stroke group and a non-stroke group,based on their clinical presentation and head MRI results.Baseline characteristics and clinical data including age,sex,body mass index,blood pressure(systolic and diastolic pressure[＜140 mmHg,140-＜160 mmHg,≥160 mmHg]),hypertension,diabetes,smoking and alcohol consumption history,use of statin and antiplatelet medication,fasting blood glucose,high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),triglycerides(TG),total cholesterol(TC)were collected and ratios between LDL-C/HDL-C,TG/HDL-C,non-HDL-C(calculated according to equation:non-HDL-C=TC-HDL-C),and non-HDL-C/HDL-C(nHHR)were calculated based on aforementioned data.The clinical and baseline data were then compared between two groups.Imaging data included side of carotid artery stenosis(identified through neck vascular ultrasound,CT angiography and/or DSA),degree of carotid stenosis(with 50％-69％categorized as moderate stenosis,and,70％-99％as severe stenosis),plaque echogenicity(predominantly low,medium or high),plaque calcification(surface and basal calcification),plaque ulceration(exists or not),bilateral middle cerebral artery(MCA)hemodynamic parameters measured by transcranial Doppler ultrasound(including,mean flow velocity[Vm],peak systolic velocity[Vs],end-diastolic velocity[Vd]),and the pulsatility index(PI,calculated via formula:PI=[Vs-Vd]/Vm).The hemodynamic parameter differences(△Vm,△Vs,△Vd,△PI)between the healthy and affected MCA were calculated.The baseline,clinical and imaging data with P＜0.05 in univariate analysis were included in multivariate Logistic regression analysis using forward stepwise selection to identify influencing factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis,and a nomogram prediction model was then constructed base on the analyzed results.Receiver operating characteristic curves were plotted,and the area under the curve(AUC)was calculated to evaluate the predictive performance of the nomogram.Delong's test was used to compare AUC differences between single indicators and the combined model.Results A total of 166 patients with unilateral moderate-to-severe extracranial ICA stenosis and CEA indication were included.In which,99 patients were in the stroke group and 67 patients were in the non-stroke group.The stroke group had a significantly higher proportion of hypertension patients(78.8％[78/99]vs.59.7％[40/67],P=0.008),higher systolic blood pressure([152±15]mmHg vs.[137±18]mmHg,P＜0.01),higher diastolic blood pressure([84±10]mmHg vs.[80±10]mmHg,P=0.042),higher TG(1.33[0.95,1.77]mmol/L vs.1.10[0.87,1.48]mmol/L,P=0.019),higher TG/HDL-C(1.35[0.97,2.08]vs.1.07[0.81,1.52],P=0.003),and higher nHHR(2.89[2.25,3.61]vs.2.48[1.93,3.27],P=0.027)than the non-stroke group.The HDL-C was significantly lower in the stroke group(0.96[0.80,1.15]mmol/L vs.1.03[0.91,1.16]mmol/L,P=0.014).Statistically significant differences were also observed in the distribution of systolic blood pressure between the groups(P＜0.01).No significant differences were found in other clinical data(all P＞0.05).The proportion of patients with carotid plaque ulceration was higher in the stroke group(35.4％[35/99]vs.16.4％[11/67],P=0.007),while stenosis side,stenosis degree,plaque echogenicity,and plaque calcification type showed no significant differences between the groups(all P＞0.05).△Vm(19[4,32]cm/s vs.10[-3,21]cm/s,P=0.001),△Vs(32[9,55]cm/s vs.24[3,40]cm/s,P=0.005),and △Vd(10[-1,19]cm/s vs.6[-3,12]cm/s,P=0.006)were significantly higher in the stroke group.No significant difference was found in △PI(P=0.076).Multivariate Logistic regression analysis identified high systolic blood pressure(OR,1.063,95％CI 1.036-1.090,P＜0.01),high TG/HDL-C(OR,2.802,95％CI 1.551-5.061,P=0.001),high △Vm(OR,1.032,95％CI 1.010-1.055,P=0.004),and plaque ulceration(OR,2.777,95％CI 1.123-6.871,P=0.027)as independent risk factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis.Systolic blood pressure,TG/HDL-C,△Vm and plaque ulceration were involved in the construction of a combined predictive model for ischemic stroke in the targeted patient group(with unilateral moderate-to-severe extracranial ICA stenosis).The AUC of the combined prediction model was 0.828(95％CI 0.765-0.892,P＜0.01),which was significantly higher than the predictive efficacy of any single factor(all P＜0.01).Conclusions High systolic blood pressure,high TG/HDL-C ratio,high △Vm,and plaque ulceration are independent risk factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis.The nomogram prediction model based on these factors demonstrates good predictive value for assessing ischemic stroke risk in this patient population.

Objective:To systematically integrate the best available evidence on non-pharmacological management of functional gastrointestinal symptoms (FGIDs) in patients with inflammatory bowel disease (IBD), providing evidence-based support for clinical practice.Methods:Evidence related to non-pharmacological management of FGIDs in IBD patients, including guidelines, clinical decision documents, evidence summaries, expert consensus statements, and systematic reviews, was systematically retrieved from domestic and international professional websites and databases. The search period covered February 27, 2016 to February 27, 2025. Literature was screened and appraised for quality.Results:A total of 15 studies were included. A total of 32 items of evidence were summarized across 10 aspects: multidisciplinary management, screening, assessment, dietary management, exercise management, psychological management, skin care, traditional Chinese medicine interventions, physical interventions, and health education and follow-up.Conclusions:The summarized best evidence for non-pharmacological management of FGIDs in IBD patients provides scientific and systematic guidance for healthcare professionals, helping them better identify and manage FGIDs in this population.

Abstract Traditional Chinese medicine (TCM) has demonstrated unique advantages in the prevention and treatment of chronic diseases such as glycolipid metabolism disorder. However, its widespread application has been hindered by the unclear biological essence of TCM syndromes and therapeutic mechanisms. As an emerging interdisciplinary field, phenomics integrates multi-dimensional data including genome, transcriptome, proteome, metabolome, and microbiome. When combined with TCM's holistic philosophy, it forms TCM phenomics, providing novel approaches to reveal the biological connotation of TCM syndromes and the mechanisms of herbal medicine. Taking glycolipid metabolism disorder as an example, this paper explores the application of TCM phenomics in glycolipid metabolism disorder. By analyzing molecular characteristics of related syndromes, TCM phenomics identifies differentially expressed genes, metabolites, and gut microbiota biomarkers to elucidate the dynamic evolution patterns of syndromes. Simultaneously, it deciphers the multi-target regulatory networks of herbal formulas, demonstrating their therapeutic effects through mechanisms including modulation of insulin signaling pathways, improvement of gut microbiota imbalance, and suppression of inflammatory responses. Current challenges include the subjective nature of syndrome diagnosis, insufficient standardization of animal models, and lack of integrated multi-omics analysis. Future research should employ machine learning, multimodal data integration, and cross-omics longitudinal studies to establish quantitative diagnostic systems for syndromes, promote the integration of precision medicine in TCM and western medicine, and accelerate the modernization of TCM.