Irritable bowel syndrome with diarrhea （IBS-D）， as a prototypical disorder involving the microbiota-gut-brain axis， remains poorly understood in terms of its pathogenesis， posing ongoing challenges for clinical diagnosis. Omics technologies， leveraging their high-throughput detection and systematic analysis advantages， has emerged as a critical tool for deciphering the complex mechanisms underlying traditional Chinese medicine （TCM） treatment of IBS-D. This systematic review summarizes the research progress of transcriptomics， proteomics， metabolomics， microbiomics， and multi-omics integration techniques in TCM interventions for IBS-D. In single-omics studies， transcriptomics using techniques like RNA-seq， reveals the regulatory mechanisms of TCM on IBS-related signaling pathways. Proteomics， leveraging quantitative technologies such as 2D-difference gel electrophoresis and tandem mass tag， identifies differentially expressed proteins and elucidates the action targets of TCM in treating IBS-D. Metabolomics， employing methods like UPLC-Q-TOF-MS and LC-MS/MS， discovers metabolic pathways regulated by TCM to improve metabolic disturbances in IBS-D. Microbiomics， based on 16S rRNA sequencing， confirms that TCM can reshape the gut microbiota structure and restore the intestinal microecological balance， thereby improving IBS-D. Multi-omics integration further overcomes the limitations of single-omics approaches by synthesizing information from transcriptomics， proteomics， metabolomics， and microbiomics， enabling a more comprehensive and systematic elucidation of the complex mechanisms underlying TCM treatment for IBS-D. In the future， research related to IBS-D should be advanced from three aspects： stratified clinical research based on TCM syndrome types， multi-omics integration verification mechanisms， and emerging omics to explore new mechanisms， providing more innovative ideas for the precise diagnosis and treatment of this disease.

Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

Objective To explore the effects of dodecanoylcarnitine(DA)and myristoleic acid(MA)on the function of mouse alveolar epithelial cell line MLE-12 and their underlying mechanisms.Methods An inflammatory model was established by stimulating MLE-12 cells with IL-4.The expression levels of DA,MA,and sphingosine-1-phosphate(S1P)in the cell supernatant were detected by ELISA.MLE-12 cells were separately intervened with DA and MA.RT-PCR and flow cytometry were used to detect the expression changes of inflammatory factors IL-6 and tumor necrosis factor-α(TNF-α)and the level of intracellular reactive oxygen species(ROS).Additionally,Western blot was performed to detect the expression of key proteins such as p38 mitogen-activated protein kinase(p-38 MAPK)and src homology 2 domain-containing phosphatase 1(SHP-1).To explore the role of S1PR2 in the effects of DA and MA,MLE-12 cells were pretreated with the S1PR2 inhibitor JTE-013,and the above experiments were repeated.Results IL-4 stimulation significantly upregulated the levels of DA,MA,and S1P in MLE-12 cells(P<0.05).DA/MA treatment groups exhibited significantly increased expression of IL-6 and TNF-α compared with the control group(P<0.05),along with elevated ROS levels(P<0.05).Western blot analysis revealed that DA/MA promoted SHP-1 dephosphorylation and phosphorylated p38 MAPK activation in MLE-12 cells.Notably,JTE-013 pre-treatment completely reversed these effects(P<0.05).Conclusion Asthma-related metabolites DA and MA exacerbate the inflammatory and oxidative stress responses of MLE-12 cells by activating the S1PR2 receptor,promoting the dephosphorylation of SHP-1 and the activation of the p-p38 MAPK pathway.This study reveals the core regulatory role of S1PR2 in this pathway as well.

Objective To design an intelligent monitoring platform for adverse drug reactions(ADRs)to solve the problems of the traditional ADR monitoring mode.Methods The ADR intelligent monitoring platform was designed based on artificial intelligence and big data technologies,which was developed with Browser/Server(B/S)architecture,C#programming language and.NET development tool.There were five functional modules involved in the platform for ADR knowledge base,monitoring rule setting,intelligent monitoring,report management and statistical analysis.Results The platform realized the full-process management of ADR intelligent monitoring,reporting,review and statistical analysis,which enhanced the ADR report in quantity,quality and timeliness.Conclusion The platform contributes to improving the monitoring of ADR and patient medication safety.[Chinese Medical Equipment Journal,2025,46(9):33-38]

Cardiovascular diseases that develop from hypercholesterolemia-induced atherosclerosis have emerged as a significant threat to human health.Recently,probiotics exhibiting cholesterol-lowering properties have emerged as a prominent area of research.Numerous studies have demonstrated that Lactobacillus reuteri can effectively reduce endogenous cholesterol synthesis,regulate cholesterol transport,and promote cholesterol degradation by modulating the expression of key genes,such as sterol-regulatory element binding protein 2,3-hydroxy-3-methyl-glutaryl coenzyme A reductase,and cholesterol 7 alpha-hydroxylase,in both the liver and intestinal epithelial cells of the host.This leads to a notable decrease in total cholesterol and low-density lipoprotein cholesterol levels in the host serum.The present paper offers a comprehensive overview of the underlying mechanisms responsible for the cholesterol-lowering effects exerted by L.reuteri,aiming to provide valuable insights into the treatment of hypercholesterolemia and the development of probiotics with cholesterol-lowering properties.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

Objective:Near-infrared(NIR)spectroscopy technology faces the problem of insufficient model generalization due to individual differences in non-invasive blood glucose testing,in order to solve this problem,to improve data utilization,and to build predictive models with stronger generalization ability,this study introduces a transfer learning method to study the NIR spectroscopy non-invasive glucose testing.Methods:Migration learning is a machine learning technique that aims to improve task performance in the target domain by transferring knowledge from the source domain to the target domain.In this study,we used community population data as the source domain and student population data as the target domain to improve the performance of the noninvasive glucose detection model on the target domain.In order to verify the effectiveness of migration learning,this study compares the performance of the model before and after migration learning.Results:the model's performance on the noninvasive glucose detection task is significantly improved by the migration learning strategy,and the MAPE and MAE of the migrated model decreases by 52.5460％and 6.0805％,respectively,and the RMSE and MSE decreases by 10.7215％and 12.1135％.Conclusions:This study demonstrates the promising application of transfer learning in the field of non-invasive blood glucose detection,which is expected to realize portable and continuous blood glucose monitoring in the future by migrating the features that are difficult to access in the source domain but are related to blood glucose values to the target domain,which will greatly improve the quality of life of diabetic patients.Advances in noninvasive glucose testing technology will not only reduce patients' pain,but also provide a more convenient means of glucose monitoring,which will provide strong support for diabetes management.

Aimed to find a safe and effective drug to replace nitroimidazole drugs in aquaculture pro-duction for the prevention and treatment of Trichomoniasis in pigeons,which can improve the eco-nomic benefits of meat pigeon breeding and ensure food safety.Firstly,Trichomonas was isolated and cultured from the crop of diseased pigeons and identified.After stable passage,a quantitative method for in vitro detection of Trichomonas was established by combining an automated cell counter and quantitative real-time PCR technology.To prepared the drug,powders of Sophora fla-vescent and Philodendron were made into herbal water extracts(SFPA)and mixed with copper sulfate(CS)solution.Then added the drug to the culture medium of Trichomonas to determine the effective concentration of it.A total of 135 pairs each of Silver King and Mimas breeding pigeons in the same laying period were selected and randomly divided into three groups,with 6 replicates in each group and 15 pairs of breeding pigeons in each replicate.Four days before brooding,the three groups were fed with 200 mL of pure water,0.5 g/L metronidazole(MDZ)solution,and a mixed solution of 30 g/L SFPA and 0.5 g/L CS,respectively.The feeding experiment lasted for 26 d.Results showed that the mixed solution of SFPA and CS had a significant killing effect on Trichomonas in vitro(P＜0.05).Feeding the drug to breeding pigeons significantly reduced the in-fection rate of breeding pigeons by Trichomonas(P＜0.05).The drug had no significant effect on the serum biochemical indexes,antioxidant properties,immunoglobulin levels of breeding pigeons,the average cage weight,immune organ indexes,meat quality and slaughter performance of squabs(P＞0.05).The results suggested that adding SFPA and CS to pigeons can effectively prevent and treat Trichomoniasis and improve production performance.It can replace nitroimidazole drugs without affecting the immune level of breeding pigeons and the weight,immune level,slaughter performance and meat quality of squabs,thereby reduce drug residues in poultry products and en-hance the food safety.

Objective:To study the effects of astragalus polysaccharide on the proliferation of osteoblasts and the effects of astraga-lus polysaccharide on bone repair in rabbits with apical periodontitis.Methods:CCK8 assay was used to detect of astragalus poly-saccharide on the proliferation of MC3T3-E1 cells.The expression of osteogenic marker factor BMP-2 and Runx-2 mRNA and pro-tein of MC3T3-E1 cells were detected by RT-PCR and Western blot respectively.The animal models of mandibular incisors with apical periodontitis in rabbits was established and verified by roentgenogram and HE staining.The repair ability of bone tissue was detected by roentgenogram.The expression of BMP-2 in the rabbit apical tissue was detected by immunohistochemistry.The results were compared between the treated and control rabbits(n=3).Results:Astragalus polysaccharide promoted cell proliferation after 24 h,48 h and 72 h exposure(P＜0.05).Roentgenogram and HE staining confirmed that the rabbit apical periodontitis was successfully constructed.The bone defect volume in the treated rabbits apical tissue was less and the expression of BMP-2 was high-er than that in the control rabbits(P＜0.05).Conclusion:Astragalus polysaccharide promotes the proliferation ability of osteoblasts and promotes the bone repair of rabbits with apical periodontitis.

Magnesium(Mg)-based bone implants have emerged as a promising candidate in bone regeneration due to their elastic modulus matching natural bone,favorable biodegradability,and biocompatibility.The degradation-derived magnesium ions(Mg2+)promote angiogenesis through multifaceted molecular mechanisms,thereby accelerating bone healing.This review systematically elucidates key pathways by which Mg2+regulates vascularization:① Activation of the CGRP-FAK-VEGF signaling axis via dorsal root ganglia-mediated neurovascular coupling;② Stabilization of HIF-1α through inhibiting VHL-mediated ubiquitination degradation and activating MagT1/TRPM7 ion channels,thereby enhancing VEGF transcription;③ Modulation of Notch signaling to drive vascular endothelial differentiation of bone marrow mesenchymal stem cells(BMSCs);④The activation of PI3K/AKT signaling pathway enhances endothelial nitric oxide synthase(eNOS)activity,leading to increased nitric oxide(NO)production which subsequently promotes endothelial cell proliferation and migration;⑤Immunomodulatory effects via macrophage M2 polarization and subsequent secretion of angiogenic factors;⑥stimulation of PDGF-BB secretion from MC3T3-E1 pre-osteoblasts.Notably,Mg2+exhibits concentration-dependent pro-angiogenic effects(optimal range:1-10 mM)and specifically enhances type H vessel formation,which critically couples angiogenesis with osteogenesis to boost bone regeneration efficiency.