This study aimed to investigate the effects of acupuncture on dynamic changes in Ca²⁺, Na⁺, and H₂O₂ flux following eccentric exercise-induced muscle injury. The total of 324 healthy male Wistar rats were randomly divided into 6 groups: control group (C), eccentric exercise group (E), eccentric exercise with acupuncture group (EA), EA with TRP channel blocker group (EAT), EA with NOX2 blocker group (EAN) and EA with placebo group (EAP). Gastrocnemius muscles were subject to lengthening contractions with percutaneous electrical stimulation, followed by immediate pretreatment with blocking agents. After 30 min, acupuncture needling was administered to the gastrocnemius muscle, and real-time dynamic changes of Ca²⁺, Na⁺ and H₂O₂ flux were measured with non-invasive micro-test technique during the needle retention period, immediately, 3 h, 6 h, and 24 h post-extraction respectively. Results showed that compared with the E group, acupuncture significantly increased net Ca²⁺ efflux (P < 0.05), extended the period of net Na⁺ influx, and significantly decreased net H₂O₂ efflux (P < 0.05). However, these effects were significantly attenuated in the EAT and EAN groups, where excessive net H₂O₂ efflux was observed (P < 0.001). These findings indicate that acupuncture regulates the dynamic changes of Ca²⁺, Na⁺ and H₂O₂ flux by activating the TRP channels and interacting with NOX2 activity following eccentric exercise-induced skeletal muscle injury.
Animals ; Muscle, Skeletal/metabolism* ; Rats, Wistar ; Rats ; Male ; Calcium/metabolism* ; Hydrogen Peroxide/metabolism* ; Physical Conditioning, Animal ; Sodium/metabolism* ; Acupuncture Therapy ; NADPH Oxidase 2

Following the core outcome set standards for development(COS-STAD), this study aims to construct core outcome set(COS) for clinical research on traditional Chinese medicine(TCM) treatment of simple obesity. Firstly, a comprehensive review was conducted on the randomized controlled trial(RCT) and systematic review(SR) about TCM treatment of simple obesity that were published in Chinese and English databases to collect reported outcomes. Additional outcomes were obtained through semi-structured interviews with patients and open-ended questionnaire surveys for clinicians. All the collected outcomes were then merged and organized as an initial outcome pool, and then a preliminary list of outcomes was formed after discussion by the working group. Subsequently, two rounds of Delphi surveys were conducted with clinicians, methodology experts, and patients to score the importance of outcomes in the list. Finally, a consensus meeting was held to establish the COS for clinical research on TCM treatment of simple obesity. A total of 221 RCTs and 12 SRs were included, and after integration of supplementary outcomes, an initial outcome pool of 141 outcomes were formed. Following discussions in the steering advisory group meeting, a preliminary list of 33 outcomes was finalized, encompassing 9 domains. Through two rounds of Delphi surveys and a consensus meeting, the final COS for clinical research on TCM treatment of simple obesity was determined to include 8 outcomes: TCM symptom scores, body mass index(BMI), waist-hip ratio, waist circumference, visceral fat index, body fat rate, quality of life, and safety, which were classified into 4 domains: TCM-related outcomes, anthropometric measurements, quality of life, and safety. This study has preliminarily established a COS for clinical research on TCM treatment of simple obesity. It helps reduce the heterogeneity in the selection and reporting of outcomes in similar clinical studies, thereby improving the comparability of research results and the feasibility of meta-analysis and providing higher-level evidence support for clinical practice.
Humans ; Obesity/therapy* ; Medicine, Chinese Traditional ; Randomized Controlled Trials as Topic ; Treatment Outcome ; Drugs, Chinese Herbal/therapeutic use*

Hepatocellular carcinoma(HCC), the third leading cause of cancer-related death worldwide, is characterized by high mortality and recurrence rates. Common treatments include hepatectomy, liver transplantation, ablation therapy, interventional therapy, radiotherapy, systemic therapy, and traditional Chinese medicine(TCM). While exhibiting specific advantages, these approaches are associated with varying degrees of adverse effects. To alleviate patients' suffering and burdens, it is crucial to explore additional treatments and elucidate the pathogenesis of HCC, laying a foundation for the development of new TCM-based drugs. With emerging research on gut microbiota, it has been revealed that microbiota plays a vital role in the development of HCC by influencing intestinal barrier function, microbial metabolites, and immune regulation. TCM, with its multi-component, multi-target, and multi-pathway characteristics, has been increasingly recognized as a vital therapeutic treatment for HCC, particularly in patients at intermediate or advanced stages, by prolonging survival and improving quality of life. Recent global studies demonstrate that TCM exerts anti-HCC effects by modulating gut microbiota, restoring intestinal barrier function, regulating microbial composition and its metabolites, suppressing inflammation, and enhancing immune responses, thereby inhibiting the malignant phenotype of HCC. This review aims to elucidate the mechanisms by which gut microbiota contributes to the development and progression of HCC and highlight the regulatory effects of TCM, addressing the current gap in systematic understanding of the "TCM-gut microbiota-HCC" axis. The findings provide theoretical support for integrating TCM with western medicine in HCC treatment and promote the transition from basic research to precision clinical therapy through microbiota-targeted drug development and TCM-based interventions.
Humans ; Gastrointestinal Microbiome/drug effects* ; Carcinoma, Hepatocellular/microbiology* ; Liver Neoplasms/microbiology* ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Medicine, Chinese Traditional

OBJECTIVE: To investigate the predictive value of the prognostic nutritional index (PNI) and systemic inflammatory response index (SIRI) for short-term efficacy and prognosis in newly treated patients with peripheral T-cell lymphoma (PTCL). METHODS: The general data, laboratory indicators, disease stage and other clinical data of 91 newly treated PTCL patients admitted to the Affiliated Hospital of Xuzhou Medical University from January 2015 to December 2023 were retrospectively analyzed. The optimal cutoff values for PNI and SIRI were determined using receiver operating characteristic (ROC) curves, and the patients were stratified into groups based on these cutoffs to compare clinical features and short-term efficacy between the different groups. Kaplan-Meier method was used to plot survival curves, and univariate and multivariate analyses were performed to identify the factors affecting overall survival (OS). RESULTS: The optimal cutoff values for PNI and SIRI were 45.30 and 1.74×10⁹/L, respectively. Patients in different PNI groups showed statistically significant differences in age, Ann Arbor stage, lactate dehydrogenase (LDH) level, international prognostic index (IPI), prognostic index for PTCL-not otherwise specified (PIT), pathological subtypes, and complete response (CR) rate (P < 0.05). PTCL patients in different SIRI groups exhibited significant differences in Ann Arbor stage, LDH level, IPI score, PIT score, and CR rate (P < 0.05). Logistic regression analysis showed that age ≥60 years old (OR =2.750), Ann Arbor stage Ⅲ-Ⅳ (OR =5.200), IPI score ≥2 (OR =7.650), low PNI (OR =3.296), and high SIRI (OR =3.130) were independent risk factors affecting treatment efficacy in PTCL patients (P < 0.05). Cox proportional hazards regression model analysis showed that low PNI and elevated β₂-microglobulin (β₂-MG) levels were independent risk factors affecting OS (P < 0.05). CONCLUSION PNI and SIRI have certain application value in evaluating short-term efficacy and prognosis in patients with PTCL. Compared with SIRI, PNI demonstrates greater predictive value for patient prognosis.
Humans ; Prognosis ; Lymphoma, T-Cell, Peripheral/therapy* ; Retrospective Studies ; Nutrition Assessment ; Male ; Female ; Middle Aged ; ROC Curve ; Inflammation

Objective To systematically retrieve and integrate the best evidence of enteral and parenteral nutrition support in adult patients with severe bums.Methods 2 nursing master students who had studied evidence-based nursing systematically searched the clinical decisions,recommended practices,guidelines,expert consensuses,systematic reviews,evidence summaries and other evidences on enteral and parenteral nutrition support for adult patients with severe bums in domestic and foreign guideline networks,relevant institutional websites and databases.The retrieval time was from the establishment of the databases to April 2023.2 researchers who had obtained master's degrees and undergone systematic evidence-based training in Fudan University used the appraisal of guidelines for research and evaluation n and JBI critical appraisal tools to evaluate the methodological quality,and extracted and summarized the evidence according to the theme.Results A total of 28 articles were included,including l clinical decision,9 guidelines,3 expert consensuses,9 systematic reviews,and 6 evidence summaries.A total of 20 pieces of evidence were summarized from 6 aspects:nutritional risk screening and assessment,energy requirement calculation,timing and route of nutritional support,nutrient intake,nutritional support monitoring and effect evaluation.Conclusion The best evidence of enteral and parenteral nutrition support for adult patients with severe burns summarized in this study is more comprehensive and scientific.It is suggested that in clinical application,targeted screening should be carried out according to the promotion and hindering factors of evidence,so as to scientifically carry out nutritional support for adult patients with severe burns.

Objective To explore the core drugs and antidepressant molecular mechanisms of Chinese herbal compound in the clinical treatment of depression.Methods Relevant literature was searched through CNKI,Wanfang and VIP to screen and sort out the Chinese Herbal compounds used in clinical practice.By analyzing the frequency of medication and the association rules of Chinese medicines,Bupleuri Radix,Paeoniae Radix Alba,Curcumae Radix were determined as the core Chinese medicinals for the treatment of depression.The active components and target proteins of these drugs were screened by TCMSP database,and depression-related targets were obtained from TTD,OMIM,DrugBank and GeneCards.Protein-protein interaction(PPI)network and'core drug-active ingredient-intersection target'network were constructed by STRING and Cytoscape.Gene Ontology(GO)enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were performed by Metascape.Molecular docking analysis used RCSB database,AutoDockTools and PyMOL to verify the binding activity of key active components with core targets.Results The drugs for the treatment of depression in clinical Chinese herbal compound prescriptions were mainly cold,sweet,bitter and pungent,and the liver meridian was the first.Bupleuri Radix,Paeoniae Radix Alba,Curcumae Radix had the highest frequency of medication,and the combination of"Paeoniae Radix Alba-Bupleuri Radix"and"Curcumae Radix-Paeoniae Radix Alba-Bupleuri Radix"had the highest support.In the PPI network,SLC6A4,AKT1 and CHRNA4 were the key targets.GO enrichment analysis results showed that core drugs play a role in synaptic membranes and other parts through biological processes such as chemical synaptic transmission,as well as molecular functions such as G protein-coupled receptor activity.KEGG pathway enrichment analysis results showed that core drugs may treat depression through neuroactive ligand-receptor interaction,calcium signaling pathway and other pathways.Molecular docking confirmed that there was a strong binding activity between the key active ingredients and the core target.Conclusion Bupleuri Radix,Paeoniae Radix Alba,Curcumae Radix are the core drugs for clinical treatment of depression,which can treat depression through multi-component,multi-target and multi-pathway.

To determine the main components of the fishy smell of the Eupolyphaga Steleophaga, and to provide a theoretical basis for deodorizing the Eupolyphaga Steleophaga. METHODS Head space-solid phase microextraction-gas chromatography-mass spectrometry was used to identify the components of 10 batches of Eupolyphaga Steleophaga, and area normalization method and chemometrics method were used to analyze the smelly gas of different batches. Odor activity value(OAV) was used to evaluate the contribution of odor components and identify key odor components. RESULTS A total of 87 volatile odor components were identified, the key fishy smell compounds(OAV≥1) were m-methylphenol, dimethyltrisulfide, 4-methylphenol, 2-methyliso-borneol, 2-etzol, 4-methylvaleric acid, iso-valeric acid, etc. Modified fishy gas composition(0.1

In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations. It analyzed the principles and advantages of commonly used rapid, non-destructive detection techniques, offering a reference for the application and promotion of these technologies in TCM preparation detection. Additionally, this paper explored various data preprocessing techniques, operational processes, and machine learning algorithms to enhance data utilization efficiency. Finally, it focused on the challenges of applying machine learning in TCM preparation detection and offered corresponding recommendations, providing guidance for the future integration of machine learning with rapid, non-destructive detection techniques in practical production.
Machine Learning ; Drugs, Chinese Herbal/analysis* ; Medicine, Chinese Traditional/methods* ; Humans ; Quality Control

Cocrystal separation technology is a technology that utilizes coformers to selectively form cocrystals with target compounds and separate them from mixed systems. Our study used puerarin (PUE), daidzein (DDZ), and genistein (GEN) as model drugs, which have similar structures and are the main isoflavones in Pueraria lobata root. The separation and purification processes in the modern traditional Chinese medicine (TCM) of these three components use conventional column chromatography, recrystallization, and other technologies, which have the issues of lengthy separation cycles, high solvent consumption, and inefficient preparation. Different with existing separation technology, our team used the early-found cocrystal separation method to design a step-by-step extraction and separation experiment of GEN-PUE-DDZ ternary mixture. Caffeine and L-proline were added to the mixed system in turn, GEN-caffeine cocrystal and PUE-proline cocrystal were prepared by suspension method. The cocrystals precipitated out of the solution. The purities of the GEN-caffeine cocrystal and the PUE-proline cocrystal could achieve 93% (the purity of GEN) and 99% (the purity of PUE). Besides, the purity of DDZ could also be increased by 6.76 times. This study proposed a simple operating, low cost and wide application range separation method different from the traditional separation method and realized the separation of structurally similar chemical components in TCM, laying a foundation for the application of cocrystal technology in the separation and refining of TCM.

Seven compounds were isolated from Onychium japonicum by macroporous resin, silica gel, ODS, Sephadex LH-20 column chromatography and semi-preparative HPLC. Their structures were identified by NMR, MS and other spectroscopic methods as onychone A (1), quercetin (2), quercetin-3-O-α-L-rhamnoside (3), kaempferol-7-O-β-D-glucopyranoside (4), kaempferol-3-O-α-L-rhamnopyranoside (5), (-)-prunin (6), and norathyriol (7). Compound 1 is a novel macrocyclic flavonoid, and all the others are reported from this plant for the first time. In vitro cytotoxic activities of compounds 1-7 were evaluated by MTS testing with five cancer cell lines. Compound 7 exhibited weak cytotoxicity against tumor cell lines A549, SMMC-7721, and SW480.