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.

Metabolic dysfunction-associated fatty liver disease （MAFLD） is a chronic liver disease closely related to metabolic dysfunction. Its global prevalence is increasing year by year and shows a trend toward younger onset. It is closely associated with cardiovascular and cerebrovascular diseases， chronic kidney disease， and extrahepatic malignant tumors， and has become a major public health problem affecting the health of the Chinese population. At present， the treatment of MAFLD mainly focuses on lifestyle intervention. When metabolic cardiovascular risk factors and liver injury are present， pharmacological intervention is required. However， there is still no specific drug therapy for MAFLD. In recent years， many studies have found that the pathogenesis of MAFLD involves interactions among multiple factors， including insulin resistance， oxidative stress， endoplasmic reticulum stress， programmed cell death， immune dysregulation， inflammasomes， gut microbiota imbalance， and bile acid metabolism. Traditional Chinese medicine （TCM） has advantages in integrated regulation with multiple components and multiple targets， and shows significant efficacy in the treatment of MAFLD. Active components of Chinese medicinal herbs and Chinese medicine compound formulas exert definite therapeutic effects by regulating multiple signaling pathways to improve lipid metabolism disorders， inhibit inflammatory responses， and regulate the gut microbiota， thereby effectively improving clinical symptoms and delaying the occurrence and development of MAFLD. Therefore， strengthening research on the mechanisms of action of TCM in MAFLD is of crucial importance and significance for its treatment. This article summarizes the mechanisms by which Chinese medicine monomers and compound formulas intervene in MAFLD through the regulation of related signaling pathways， based on the retrieval and analysis of relevant literature from multiple databases， with the aim of providing theoretical support and a reference basis for the clinical application of TCM in the treatment of MAFLD.

Tissue repair requires the reconstruction of functional vascular networks to restore oxygen and nutrient delivery, eliminate metabolic waste, and maintain tissue homeostasis. Although biochemical factors such as growth factors and cytokines have been extensively studied in vascular regeneration, increasing evidence indicates that mechanical signals from the extracellular matrix (ECM) are equally important regulators of angiogenesis. Matrix stiffness, as a major biomechanical property of the tissue microenvironment, provides critical information that influences endothelial cell (EC) behavior and vascular remodeling through mechanotransduction. However, the biological effects of matrix stiffness are not universally defined as either pro- or anti-angiogenic, but are highly dependent on tissue context, cellular composition, disease progression, and the dynamic changes occurring during tissue repair. Therefore, understanding how matrix stiffness regulates vascular regeneration is essential for developing more precise strategies for tissue engineering and regenerative medicine. In this review, we summarize recent advances in the regulation of angiogenesis by matrix stiffness during tissue repair from multiple perspectives. First, we discuss the direct effects of matrix stiffness on EC behaviors, including differentiation, morphological remodeling, migration, proliferation, barrier maintenance, and vascular network formation. ECs sense mechanical alterations in the surrounding matrix through various mechanosensitive structures, including integrins, focal adhesion complexes, and mechanosensitive ion channels such as Piezo1 and TRPV proteins. These mechanical signals are subsequently transmitted through intracellular pathways involving FAK, RhoA/ROCK, MAPK, and Hippo-YAP/TAZ signaling, leading to cytoskeletal reorganization and transcriptional regulation. Through these mechanisms, matrix stiffness regulates endothelial functional states and determines the balance between regenerative vascular formation and pathological vascular remodeling. Beyond the direct regulation of ECs, we further highlight the importance of stiffness-mediated intercellular communication within the regenerative microenvironment. Matrix stiffness can regulate the behavior and secretory profiles of vascular-associated cells, including mesenchymal stem cells and macrophages, thereby indirectly affecting endothelial function through paracrine mechanisms. Changes in matrix mechanics influence the secretion of angiogenic factors, inflammatory cytokines, and extracellular vesicles from these cells, creating a mechanical regulation network that coordinates vascular regeneration. This perspective extends the traditional concept of matrix stiffness from a physical support structure to an active regulatory signal that integrates multiple cellular responses during tissue repair. Furthermore, we discuss the tissue-specific effects of matrix stiffness in vascular regeneration across different organs, including the aorta, lung, liver, and heart. Although excessive matrix stiffening is frequently associated with fibrosis and vascular dysfunction, the consequences of mechanical changes vary considerably among tissues. Moderate stiffness alterations may support endothelial activation and vascular stabilization in certain regenerative contexts, whereas persistent pathological stiffening can promote inflammation, endothelial dysfunction, and impaired vascular repair. These findings emphasize that the biological meaning of “soft” and “stiff” microenvironments should be interpreted according to specific tissue and experimental conditions rather than as universal mechanical classifications. Finally, we summarize current challenges and future perspectives in this field. A major limitation is the lack of standardized mechanical characterization among different studies, as stiffness measurements are influenced by material properties, testing methods, and experimental conditions, limiting direct comparison across research systems. Moreover, most existing models fail to fully reproduce the dynamic and viscoelastic properties of native ECM during tissue regeneration. Future studies should combine advanced biomaterials with standardized mechanical analysis, organoid models, and multi-omics approaches to establish more accurate mechanical regulatory maps. Overall, this review proposes that matrix stiffness is not merely a structural feature of tissues, but an active biological signal that regulates vascular regeneration through coordinated mechanotransduction and multicellular interactions. A deeper understanding of stiffness-mediated vascular regulation will provide new theoretical insights and therapeutic opportunities for improving tissue repair outcomes.

Objectives:To investigate the predictive factors of stroke associated-pneumonia (SAP) in patients with acute stroke, develop nomogram and neural network prediction models and verify their predictive performance.Methods:Patients with acute stroke admitted to the First Affiliated Hospital of Kunming Medical University and Zhenxiong County People's Hospital were included retrospectively. Multivariate logistic regression analysis was used to determine the independent predictive factors of SAP, and develop nomogram and neural network prediction models. Receiver operating characteristic curve (ROC) curves were used to validate and compare the predictive performances. Results:A total of 450 patients with acute stroke were enrolled, including 286 males (63.6%), aged 64.28±13.24 years; 344 patientss (76.4%) had ischemic stroke and 106 (23.6%) had hemorrhagic stroke; 128 patients (28.4%) experienced SAP. According to the random number method, they were divided into a modeling cohort ( n=300) and a validation cohort ( n=150). Multivariate logistic regression analysis in the modeling cohort showed that a higher baseline National Institutes of Health Stroke Scale (NIHSS) score, gastric tube placement, use of proton pump inhibitors, heart failure, and higher neutrophil/lymphocyte ratio (NLR) were the independent predictive factors of SAP. ROC curve analysis showed that the area under the ROC curve of the nomogram model for predicting SAP in the modeling cohort and validation cohort was 0.841 (95% confidence interval [ CI] 0.795-0.880) and 0.863 (95% CI 0.798-0.914), respectively. The sensitivity for predicting SAP were 75.00% and 70.45%, respectively, and the specificity was 81.94% and 92.45%, respectively. The area under the ROC curve of the neural network model for predicting SAP in the modeling cohort and validation cohort was 0.847 (95% CI 0.802-0.866) and 0.862 (95% CI 0.796-0.913), respectively. The sensitivity for predicting SAP were 76.19% and 72.73%, and the specificity was 79.17% and 89.62%, respectively. Conclusions:Higher NIHSS score, gastric tube placement, use of proton pump inhibitors, heart failure, and higher NLR are the independent risk factors for SAP in patients with acute stroke. The nomogram and neural network prediction model developed using the above risk factors have higher predictive value for SAP.

Abdominal war trauma is a common and high-risk type of injury in the modern battlefield,with rapid changes in condition and a high mortality rate.There is an urgent need for emerging medical technologies to improve the efficiency and success rate of first aid for military casualties.With the development of artificial intelligence(AI),5G,and other emerging technologies,the concept of intelligent medical treatment is gradually forming and can assist in the diagnosis and treatment of abdominal trauma.This paper reviews the characteristics of abdominal war trauma in modern wars,discusses the application of intelligent medical treatment for abdominal war trauma and its drawbacks to be solved,aiming to provide reference for research related to abdominal war trauma.

Objective This research was performed to identify rodent-borne pathogens in Hekou Port,Yunnan Province.Methods Rodents were captured using cages and dissected to collect their lungs,liver,spleen,and other viscera.Eight pathogens,including Yersinia pestis,Leptospira,Bartonella,and Anaplasmataceae,were identified using polymerase chain reaction amplification.Amplified pathogen sequences from positive samples were sequenced,and BLAST homology searches were conducted using GenBank to confirm pathogen identities.A phylogenetic tree of the identified pathogens was constructed using the neighbor joining method.Results The total of 31 rodents,identified as Rattus tanezumi,R.norvegicus,and Mus musculus,were captured.Among these,R.tanezumi was the dominant species,accounting for 64.52％of the total.Two pathogens,Leptospira interrogans and Neoehrlichia mikurensis,were detected,with positivity rates of 9.68％and 29.03％,respectively.No other pathogens were detected.The overall positivity rate for rodent-borne pathogens was 35.48％.Conclusions The single 16S rRNA gene fragment is insufficient for the molecular identification of all Neoehrlichia species.Accurate species identification should be based on a combined analysis of multiple genes.The prevalence of rodent-borne pathogens in Hekou Port indicates the necessity for enhanced surveillance of rodent-borne diseases and implementation of additional prevention and control measures in border ports.

Objective:The aims of this study were to compare the clinical effectiveness of an immunosuppressant(sintilimab)combined with different chemotherapy regimens(two-and three-drug regimens)in the neoadjuvant treatment of advanced gastric cancer and to explore the efficacy-associated clinical features.Methods:A retrospective analysis was conducted on patients with advanced gastric cancer who re-ceived treatment at Lanzhou University Second Hospital between August 2020 and February 2024.Overall,133 patients were included in the study and assigned into groups A(three-drug regimens)and B(two-drug regimens),according to the treatment regimen received.Recent ef-ficacy outcomes,including the pathological complete response rate(pCR),major pathological response rate(MPR),objective response rate(ORR),and disease control rate(DCR),as well as long-term efficacy outcomes,including overall survival(OS)and disease-free survival(DFS),were compared.Subgroup analyses were performed to identify clinical features associated with treatment efficacy.Results:The recent effic-acy outcomes were similar between groups A(two-drug regimen)and B(three-drug regimen),with pCRs of 18.46%and 27.94%,MPRs of 52.31%and 58.82%,ORRs of 76.92%and 76.47%,and DCRs of 87.69%and 95.59%,respectively.However,the three-drug regimen led to significantly improved OS and DFS,compared with the two-drug regimen(P<0.05).Subgroup analysis revealed that male patients and those with gastric antrum cancer,an ECOG score of 0,a T4 stage tumor,and no vascular or nerve invasion benefited more from the three-drug re-gimen.Conclusions:Sintilimab combined with the three-drug chemotherapy regimen demonstrated superior long-term efficacy in the neo-adjuvant treatment of advanced gastric cancer,compared with the combination with the two-drug regimen.Certain clinical features may predict greater benefit from the three-drug regimen.

Objective To investigate the relationship between serum glial fibrillary acidic protein(GFAP)level and transcranial Doppler(TCD)parameters in carotid stenosis patients after carotid stent implantation.Methods A total of 123 patients with carotid stenosis who received carotid stent implantation in our hospital from September 2021 to February 2024 were recruited,and di-vided into a normal group(39 cases)and a damaged group(84 cases)according to their cerebro-vascular reserve.The GFAP level and TCD parameters were collected before and after treatment.ROC curve analysis was employed to analyze the value of GFAP level in evaluating cerebrovascu-lar reserve in the patients.Results Significantly larger proportion of diabetes and higher level of total cholesterol were observed in the damaged group than the normal group(P＜0.05).Mean flow velocity(MFV),pulse index(PI),peak systolic velocity(PSV),and levels of GFAP,neuron-specific enolase(NSE)and S-100β were all obviously decreased in both groups after surgery than the levels before(P＜0.05).When compared with the normal group,the damaged group had nota-bly higher serum GFAP level before operation,and lower PI and PSV values and higher GFAP,NSE and S-100β levels after operation(P＜0.05,P＜0.01).Both pre-and post-operative serum GFAP levels were negatively correlated with postoperative MFV,PI and PSV(P＜0.01).The concomitant diabetes,pre-and post-operative serum GFAP levels,and postoperative PSV value and NSE and S-100β levels were independent influencing factors for cerebrovascular reserve in ca-rotid stenosis patients after carotid stent implantation(P＜0.05,P＜0.01).The post-operative se-rum GFAP level showed significantly better value than the pre-operative level in assessing cere-brovascular reserve,with an AUC value of 0.860(95％CI:0.786-0.916)and 0.777(95％CI:0.693-0.847),respectively.Conclusion Serum GFAP level is related to TCD parameters in ca-rotid stenosis patients after carotid stent implantation.Combined GFAP level and TCD parameters together can be used to evaluate the cerebrovascular reserve for the patients.

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.