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.

Environmental toxicants have been linked to aging and age-related diseases. The emerging evidence has shown that the enhancement of detoxification gene expression is a common transcriptome marker of long-lived mice, Drosophila melanogaster, and Caenorhabditis elegans. Meanwhile, the resistance to toxicants was increased in long-lived animals. Here, we show that farnesoid X receptor (FXR) agonist obeticholic acid (OCA), a marketed drug for the treatment of cholestasis, may extend the lifespan and healthspan both in C. elegans and chemical-induced early senescent mice. Furthermore, OCA increased the resistance of worms to toxicants and activated the expression of detoxification genes in both mice and C. elegans. The longevity effects of OCA were attenuated in Fxr ^-/- mice and Fxr homologous nhr-8 and daf-12 mutant C. elegans. In addition, metabolome analysis revealed that OCA increased the endogenous agonist levels of the pregnane X receptor (PXR), a major nuclear receptor for detoxification regulation, in the liver of mice. Together, our findings suggest that OCA has the potential to lengthen lifespan and healthspan by activating nuclear receptor-mediated detoxification functions, thus, targeting FXR may offer to promote longevity.

OBJECTIVES: To explore the therapeutic mechanism of compound Centella asiatica formula (CCA) for alleviating Schistosoma japonicum (Sj)-induced liver fibrosis in mice. METHODS: The active components and targets of CCA were identified using the TCMSP database with cross-analysis of Sj-related liver fibrosis targets. A "drug-component-target-pathway-disease" network was constructed using Cytoscape 3.9.1. Functional enrichment analysis (GO/KEGG) was performed using DAVID. Molecular docking study was carried out to validate interactions between the core targets and the key compounds. For experimental validation of the results, 36 mice were divided into control group, Sj-infected model group, and CCA-treated groups. In the latter two groups, liver fibrosis was induced via abdominal infection with Sj cercariae for 8 weeks, followed by 8 weeks of daily treatment with CCA decoction or saline. Hepatic pathology of the mice was assessedwith HE and Masson staining, and hepatic expressions of collagen-I and collagen-III were detected using immunohistochemistry; serum IL-6 and TNF-α levels were determined with ELISA. Hepatic expressions of TLR4 and MyD88 proteins were analyzed with Western blotting. RESULTS: We identified a total of 107 bioactive CCA components and 791 targets, including 37 intersection targets linked to Sj-induced fibrosis. The core targets included TNF, TP53, JUN, MMP9, and CXCL8, involving the IL-17 signaling, lipid metabolism, TLR4/MyD88 axis, and cancer pathways. Molecular docking study confirmed strong binding affinity between quercetin (a primary CCA component) and TNF/TP53/JUN/MMP9. In Sj-infected mouse models, CCA treatment significantly attenuated hepatic inflammatory cell infiltration, reduced collagen-I and collagen-III deposition, improved tissue architecture, reduced serum IL-6 and TNF-α levels, and downregulated TLR4 and MyD88 expressions in the liver. CONCLUSIONS CCA mitigates Sj-induced liver fibrosis by targeting TNF, TP53, JUN, and MMP9 to modulate the TLR4/MyD88 pathway, thereby suppressing pro-inflammatory cytokine release, inhibiting hepatic stellate cell activation, reducing collagen deposition, and preventing granuloma formation in the liver.
Animals ; Toll-Like Receptor 4/metabolism* ; Mice ; Myeloid Differentiation Factor 88/metabolism* ; Schistosoma japonicum ; Liver Cirrhosis/parasitology* ; Schistosomiasis japonica ; Signal Transduction ; Molecular Docking Simulation ; Inflammation ; Centella/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Tumor Necrosis Factor-alpha/metabolism*

High mobility group box 1 (HMGB1), when released extracellularly, plays a pivotal role in the development of spinal cord synapses and exacerbates autoimmune diseases within the central nervous system. In experimental autoimmune encephalomyelitis (EAE), a condition that models multiple sclerosis, the levels of extracellular HMGB1 and interleukin-33 (IL-33) have been found to be inversely correlated. However, the mechanism by which IL-33 deficiency enhances HMGB1 release during EAE remains elusive. Our study elucidates a potential signaling pathway whereby the absence of IL-33 leads to increased binding of P300/CBP-associated factor with HMGB1 in the nuclei of astrocytes, upregulating HMGB1 acetylation and promoting its release from astrocyte nuclei in the spinal cord of EAE mice. Conversely, the addition of IL-33 counteracts the TNF-α-induced increase in HMGB1 and acetylated HMGB1 levels in primary astrocytes. These findings underscore the potential of IL-33-associated signaling pathways as a therapeutic target for EAE treatment.
Animals ; Encephalomyelitis, Autoimmune, Experimental/metabolism* ; Astrocytes/metabolism* ; Interleukin-33/metabolism* ; HMGB1 Protein/metabolism* ; Acetylation ; Mice, Knockout ; Mice, Inbred C57BL ; p300-CBP Transcription Factors/metabolism* ; Mice ; Spinal Cord/metabolism* ; Cells, Cultured ; Female ; Signal Transduction

In this study, araucarene diterpenes, characterized by a pimarene skeleton with a variably oxidized side chain at C-13, were investigated. A total of 16 araucarene diterpenoids and their derivatives were isolated from the woods of Agathis dammara, including 11 previously unreported compounds: dammaradione (1), dammarones D-G (2, 5, 14, 15), dammaric acids B-F (8-12), and dammarol (16). The structures of these new compounds were elucidated using high-resolution electrospray ionization mass spectroscopy (HR-ESI-MS) and one-dimensional/two-dimensional (1D/2D) nuclear magnetic resonance (NMR), while their absolute configurations were determined through the electronic circular dichroism (ECD) exciton chirality method and Snatzke's method. The hypoglycemic activity of all isolated compounds was evaluated using a transgenic zebrafish model, and a structure-activity relationship (SAR) analysis was conducted. Araucarone (3) and dammaric acid C (9), serving as representative compounds, demonstrated significant hypoglycemic effects on zebrafish. The primary mechanism involves the promotion of pancreatic β cell regeneration and glucose uptake. Specifically, these compounds enhance the differentiation of pancreatic endocrine precursor cells (PEP cells) into β cells in zebrafish.
Zebrafish ; Animals ; Diterpenes/isolation & purification* ; Insulin-Secreting Cells/cytology* ; Glucose/metabolism* ; Hypoglycemic Agents/isolation & purification* ; Molecular Structure ; Structure-Activity Relationship ; Plant Extracts/pharmacology* ; Regeneration/drug effects*

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.

Objective To investigate the effect of long noncoding RNAMCTP1-AS1 on the proliferation and invasion of cervical cancer cells and its related mechanisms.Methods The Cancer Genome Atlas database was used to analyze the expression of MCTP1-AS1 in cervical cancer tissues and normal cervical tissues,and the correlation between the expression level of MCTP1-AS1 and the pathological stage of cervical cancer patients was analyzed.The expression of MCTP1-AS1 in cervical cancer cell lines HCC1106,HCC94,SiHa,Hela,C33A and normal cervical epithelial cells H8 was detected.Hela cells were transfected with pcDNA-Ctrl plasmid(Ctrl group)and pcDNA-MCTP1-AS1 plasmid(MCTP1-AS1 group),respectively.the proliferation and invasion ability of Hela cells were detected,respectively.the expression of proliferation proteins CDK2 and Cyclin A and invasion proteins N-cadherin and ZEB1 in Hela cells were detected,the targeting relationship between MCTP1-AS1 and miR-10a-5p were verified.The expression of miR-10a-5p in Hela cells was detected.Results Compared with normal cervical tissue,the expression of MCTP1-AS1 in cervical cancer tissue was significantly decreased(P＜0.01).The expression level of MCTP1-AS1 was negatively correlated with the pathological stage of cervical cancer patients(P＜0.01).Compared with H8 cells,the expression of MCTP1-AS1 in cervical cancer cell lines HCC1106,HCC94,SiHa,Hela,and C33A were significantly decreased(P＜0.01).Compared to Ctrl group,overexpression of MCTP1-AS1 significantly reduced the levels of proliferative proteins CDK2 and Cyclin A,as well as invasive proteins N-cadherin and ZEB1 in Hela cells.MCTP1-AS1 directly binds to miR-10a-5p(P＜0.01).Compared to Ctrl group,MCTP1-AS1 group showed a significant decrease in miR-10a-5p expression in Hela cells(P＜0.01).Conclusion MCTP1-AS1 expression is downregulated in cervical cancer tissues and cells,and MCTP1-AS1 expression is negatively correlated with the pathological stage of cervical cancer patients.MCTP1-AS1 inhibits the proliferation and invasion of cervical cancer cells by targeting miR-10a-5p.

Objective:To analyze the current status of the research in two emerging fields-digital health and digital medicine,and the distinctions and interconnections between them,and to explore critical cognitionfor benign development of this field.Methods:Based on bibliometric method,this study analyzed 1 747 papers published in two Q1 journals categorized under"medical informatics"in Chinese Academy of Sciences Journal Citation Reports between January 1st,2019,and June 30th,2024.A biclustering analysis of highly cited and source article was conducted using a"co-cited literature clustering and all articles citing this cluster"approach.Results:In 1 747 literature,a total of 28 classic high cited articles in digital medicinejournals and digital health journals were screened out afterthe literatures of irrelevant citations were deleted,and then,they were further analyzed.The clustering performancesof similar clusters for high cited articles of two kinds of journals were similar,and the difference of intra-cluster similarity(Isim)between them was not statistically significant(P>0.05).The inter-cluster similarity(Esim)of digital health journal was 0.0480,which was significantly higher than that of digital health journal,and the difference of that between them wasstatistically significant(t=-3.925,P<0.05).The clustering result of digital medicine was better,which whole research direction could be divided into deep learning-based ophthalmic medical image analysis,image recognition with artificial intelligence(AI),algorithm model of using AI,reporting standard and assessment method of digital medicine and scientific research by using AI.However,the contents of high cited literatures of digital health field had a lot of overlap with digital medicine field,and various clusters of literature have inconsistent themesafter these literatures were clustered.Conclusions:Research of digital medicine is tending towards two primary directions:specific application of AI,and theimprovement of digital medical standards and processes.Meanwhile,the articles and literatures with high quality in digital health still cannot divorce the medical field,and the discipline system still is immature.

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.