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.

ObjectiveTo explore the characteristics of traditional Chinese medicine （TCM） syndromes in the patients with concurrent knee osteoarthritis （KOA） and postmenopausal osteoporosis （PMOP） and provide a scientific basis for precise TCM syndrome differentiation， diagnosis， and treatment of such concurrent diseases. MethodsA prospective， multicenter， cross-sectional clinical survey was conducted to analyze the characteristics of TCM syndromes in the patients with concurrent PMOP and KOA. Excel 2021 was used to statistically analyze the general characteristics of the included patients. Continuous variables were reported as x¯±s， and binary variables were reported as percentages. UCINET and Gephi were used to construct a complex "isease-syndrome-symptom" network for in-depth mining. Topological structure indicators， edge connection information between nodes， and weighted adjacency matrices were calculated by UCINET and Python. Gephi was used for complex network visualization. ResultsA total of 157 patients with concurrent PMOP and KOA from 12 TCM hospitals or community health service centers were selected for the collection of TCM syndrome and symptom information. A total of 4 main TCM syndromes were obtained， which were kidney-Yang deficiency （47.13%）， liver-kidney Yin deficiency （36.94%）， spleen-kidney Yang deficiency （8.92%）， and kidney Yin-Yang deficiency （7.01%）. In addition， 10 concurrent syndromes （mainly Qi stagnation and blood stasis， Qi and blood deficiency， spleen Yang deficiency， and cold-dampness） were identified. Based on the results of comprehensive frequency statistics and complex network analysis， as well as TCM theoretical knowledge and relevant guidelines， the general characteristics of concurrent PMOP and KOA and the main TCM syndromes in the dimensions of physical symptoms， pain， tongue and pulse manifestations， and defecation and urination were obtained. ConclusionThe main TCM syndromes in the patients with concurrent PMOP and KOA may be kidney Yang deficiency， liver-kidney Yin deficiency， spleen-kidney Yang deficiency， and kidney Yin-Yang deficiency， among which kidney Yang deficiency and liver-kidney Yin deficiency are the core TCM syndromes.

ObjectiveTo explore the characteristics of traditional Chinese medicine （TCM） syndromes in the patients with concurrent knee osteoarthritis （KOA） and postmenopausal osteoporosis （PMOP） and provide a scientific basis for precise TCM syndrome differentiation， diagnosis， and treatment of such concurrent diseases. MethodsA prospective， multicenter， cross-sectional clinical survey was conducted to analyze the characteristics of TCM syndromes in the patients with concurrent PMOP and KOA. Excel 2021 was used to statistically analyze the general characteristics of the included patients. Continuous variables were reported as x¯±s， and binary variables were reported as percentages. UCINET and Gephi were used to construct a complex "isease-syndrome-symptom" network for in-depth mining. Topological structure indicators， edge connection information between nodes， and weighted adjacency matrices were calculated by UCINET and Python. Gephi was used for complex network visualization. ResultsA total of 157 patients with concurrent PMOP and KOA from 12 TCM hospitals or community health service centers were selected for the collection of TCM syndrome and symptom information. A total of 4 main TCM syndromes were obtained， which were kidney-Yang deficiency （47.13%）， liver-kidney Yin deficiency （36.94%）， spleen-kidney Yang deficiency （8.92%）， and kidney Yin-Yang deficiency （7.01%）. In addition， 10 concurrent syndromes （mainly Qi stagnation and blood stasis， Qi and blood deficiency， spleen Yang deficiency， and cold-dampness） were identified. Based on the results of comprehensive frequency statistics and complex network analysis， as well as TCM theoretical knowledge and relevant guidelines， the general characteristics of concurrent PMOP and KOA and the main TCM syndromes in the dimensions of physical symptoms， pain， tongue and pulse manifestations， and defecation and urination were obtained. ConclusionThe main TCM syndromes in the patients with concurrent PMOP and KOA may be kidney Yang deficiency， liver-kidney Yin deficiency， spleen-kidney Yang deficiency， and kidney Yin-Yang deficiency， among which kidney Yang deficiency and liver-kidney Yin deficiency are the core TCM syndromes.

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

Objective:To compare the safety and efficacy of 3D-printed porous bioceramic artificial bone and artificial bone substitutes in the treatment of limb bone defects.Methods:A total of 220 patients with post-traumatic limb bone defects admitted to Xijing Hospital Affiliated to Air Force Medical University of the Chinese People's Liberation Army (34 cases), the Third Hospital of Hebei Medical University (60 cases), Xi'an Honghui Hospital (28 cases), the Third Hospital of Southern Medical University (18 cases), Changsha Third Hospital (28 cases), Foshan Traditional Chinese Medicine Hospital (16 cases), Foshan Fuxing Chancheng Hospital (12 cases), and Henan Provincial Orthopaedic Hospital (24 cases) from May 2022 to October 2023 were included as research subjects. According to the manufacturing method of the bone graft material, the subjects were randomly divided into the 3D printed porous bioceramic artificial bone group (3D printing group) and the artificial bone substitute group (non-3D printing group) at a ratio of 1:1 by the envelope method. Adverse events that might be related to the surgery were selected through correlation evaluation and classified as abnormal laboratory indicators, systemic or other site symptoms and abnormalities, and local symptoms and abnormalities of the affected limb. The safety of the two groups was compared. The bone graft fusion rate, bone defect repair and healing rate, and short form 12 (SF-12) score of the two groups were calculated to evaluate the postoperative recovery.Results:Thirty-two cases were excluded (4 cases refused to use their data after reconsideration, 7 cases were not used after preoperative assessment, and 21 cases exceeded the standard for body mass index and laboratory indicators upon re-examination). A total of 188 cases were randomly divided into the 3D printing group and the non-3D printing group according to the random method, with 94 cases in each group. Among them, 11 cases in the 3D printing group and 9 cases in the non-3D printing group dropped out due to loss to follow-up. Finally, 168 cases completed the follow-up, including 83 cases in the 3D printing group and 85 cases in the non-3D printing group. In the 3D printing group, there were 53 males and 30 females, with an average age of 47.9±12.7 years; in the non-3D printing group, there were 53 males and 32 females, with an average age of 48.6±12.9 years. A total of 51 cases in the two groups experienced adverse events related to the surgery, including 13 cases of abnormal laboratory indicators (5 cases in the 3D printing group and 8 cases in the non-3D printing group), 15 cases of systemic or other site symptoms and abnormalities (9 cases in the 3D printing group and 6 cases in the non-3D printing group), and 23 cases of local symptoms and abnormalities of the affected limb (13 cases in the 3D printing group and 10 cases in the non-3D printing group). There was no statistically significant difference in the incidence of adverse events between the two groups ( P>0.05). The bone graft fusion rates of the 3D printing group and the non-3D printing group at 6 months after surgery were 99%(82/83) and 99%(84/85), respectively, and the bone defect repair and healing rates were 89%(74/83) and 89%(76/85), respectively. At the time of 12 months after surgery, the bone graft fusion rates were 99%(82/83) and 99%(84/85), respectively, and the bone defect repair and healing rates were 94%(78/83) and 92%(78/85), respectively. There was no statistically significant difference in the bone graft fusion rate and bone defect repair and healing rate between the two groups ( P>0.05). The SF-12 scores during the screening period were 27.82±2.96 points and 27.22±4.23 points in the 3D printing group and the non-3D printing group, respectively, and at 3 months after surgery were 28.08±3.13 points and 27.64±3.16 points, at 6 months after surgery were 29.42±3.10 points and 28.55±3.45 points, and at 12 months after surgery were 29.78±2.80 points and 29.58±2.94 points, respectively. There was no statistically significant difference between the groups ( P>0.05). Both groups of surgeries were successfully completed without any serious surgical or bone graft-related complications. Conclusion:The safety and efficacy of 3D-printed porous bioceramic artificial bone in the treatment of limb bone defects are not significantly different from those of currently clinically applied artificial bone substitutes.

Objective:To systematically evaluate the qualitative study on HIV pre-exposure prophylaxis (PrEP) medication experience among men who have sex with men (MSM) .Methods:China National Knowledge Infrastructure, Wanfang Data, China Biology Medicine disc, VIP, PubMed, Web of Science, Embase, CINAHL, Cochrane Library, and PsycINFO were searched. The search period was from database establishment to February 1, 2024. The methodological quality of the included literature was evaluated according to the quality evaluation criteria for qualitative research of the Joanna Briggs Institute Evidence-Based Health Care Center. The integrative synthesis was used to integrate the findings.Results:A total of 11 articles were included, and 36 findings were distilled into eight new categories, which were synthesized to form three integrated findings (perceived PrEP medication benefits by MSM, perceived barriers to PrEP medication by MSM, and multidimensional adaptations to enhance the PrEP medication experience in MSM) .Conclusions:Healthcare providers should pay close attention to the PrEP medication experience of MSM, identify medication challenges promptly, and focus on assisting them with self-adaptation to improve the PrEP medication experience and increase PrEP medication adherence in MSM.

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.