Irritable bowel syndrome （IBS） is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years， traditional Chinese medicine （TCM） has made progress in multiple aspects of IBS research and treatment， including syndrome distribution， development of TCM formulas， clinical efficacy evaluation， external therapies， and psychosocial regulation. However， it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria， and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment， combining TCM external therapies such as acupuncture， moxibustion and acupoint application）， and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies， artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas， so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.

Objective With the vigorous development of nuclear reactors and controlled thermonuclear fusion research, the release of tritium, the predominant radionuclide in nuclear wastewater, into the environment has attracted widespread attention. Its impact on human health has also become a hot topic of research. This article presents a visual analysis of the literature on the biological effects of tritium ingestion by organisms over the past 70 years, with the aim of elucidating the biological effects of tritiated water and identifying current research hotspots and emerging trends. Methods We retrieved articles on the biological effects of tritium radiation published in the China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) over the past 70 years. CiteSpace software was used to generate visual maps, including annual number of publications, countries of publication, keyword clustering, keyword timeline, keyword burst, and literature co-citation. Results A total of 437 articles were included. The cumulative number of annual publications exhibited a linear growth trend. Research hotspots focused on low-radioactivity tritiated water, dose rate effect, DNA double-strand break damage, genetic effect, and cancer mortality. Emerging research frontiers included human lymphocyte immune injury, oxidase activity, comparison of marine organisms in different living environments, comparison of tritium and ionizing radiation effects, changes in mitochondrial ATP content, and the hormetic effect of low-dose radiation. Conclusion In cellular and animal models, high doses of tritium exposure induce negative biological effects. However, whether low doses of tritium esposure elicit beneficial biological effects remains to be further explored. It is suggested that domestic and foreign teams enhance academic collaboration and discussions, focusing on current hotspots and frontiers to deepen our understanding of the biological effects induced by tritium radiation. This will provide scientific solutions for disease treatment and establish a scientific basis for the safe utilization of nuclear energy and the formulation of safety standards for nuclear wastewater discharge.

OBJECTIVE To ensure the safety of patients’ drug use and control the risk of medical insurance expenditure by upgrading the pre-prescription review system to conduct pre-review on prescriptions from internet hospitals and external prescriptions， as well as to review the payment methods of drugs （including in-hospital and external drug dispensing）. METHODS The data interfaces of prescriptions from internet hospitals and external prescriptions were integrated to achieve real-time rational drug use intervention. Additionally， an intelligent review project for payment method was added to precisely intervene in the medical insurance payment methods of drugs. The effect of the system upgrade was evaluated by comparing the qualification rates of prescriptions from internet hospitals and external prescriptions and the suspected amounts of drug violations from January to April 2025 （before the system upgrade） and May to August 2025 （after the system upgrade）. RESULTS After the upgrade of the pre-prescription review system， the qualification rates of prescriptions from internet hospitals and external prescriptions increased by 3.5% [95% confidence interval （CI）＝0.3%-6.7%， P ＝0.037 ] ； the suspected amounts of drug violations decreased to 52.9% of the pre-upgrade level （95%CI＝31.6%-88.5%， P ＝0.026）， and the average monthly sequential decrease was 29.5% （95%CI＝12.2%-43.4%， P ＝0.012）. Moreover， the addition of the intelligent review project for payment methods promoted the management of off-label drug use in our hospital. After the upgrade， a total of 79 filling valid applications for off-label drug use were received and archived. CONCLUSIONS The upgrade of the pre-prescription review system effectively improves the review qualification rates of prescriptions from internet hospitals and external prescriptions and the accuracy of medical insurance payment for drugs， and strengthens the supervision of off-label drug use， achieving dual guarantees of clinical rationality and medical insurance compliance.

Objective To evaluate the predictive value of different machine learning models constructed in a multicenter environment for potential organ donors and verify their clinical application feasibility. Methods The study included 2 000 inpatients admitted to five domestic tertiary hospitals from January 2020 to December 2023, who met the criteria for potential organ donation assessment. They were randomly divided into a training set and an internal validation set (7∶3). Another 300 similar patients admitted to the First Affiliated Hospital of Harbin Medical University from January 2024 to April 2025 were included as an external validation set. The area under the curve (AUC), sensitivity, specificity, accuracy and F1-score of three models were compared, and the consistency of the potential organ donor determination process was tested. Multivariate logistic regression analysis was used to identify predictive factors of potential organ donors. Decision curve analysis (DCA) was employed to verify the resource efficiency of each model, and the threshold interval and intervention balance point were assessed. Results Apart from age, there were no significant differences in other basic characteristics among the centers (all P>0.05). The consistency of the potential organ donor determination process among researchers in each center was good [all 95% confidence interval (CI) lower limits >0]. In the internal validation set, the XGBoost model had the best predictive performance (AUC=0.92, 95% CI 0.89-0.94) and the best calibration (P=0.441, Brier score 0.099). In the external validation set, the XGBoost model also had the best predictive performance (AUC=0.91, 95% CI 0.88-0.94), outperforming logistic regression and random forest models. Multivariate logistic regression showed that mechanical ventilation had the greatest impact (odds ratio=2.06, 95% CI 1.54-2.76, P<0.001). DCA indicated that the XGBoost model had the highest net benefit in the threshold interval of 0.2-0.6. The “treat all” strategy only had a slight advantage at extremely low thresholds. The recommended threshold interval, which balances intervention costs and clinical benefits, considers ≥50% positive predictive value (PPV) and ≤50 referrals per 100 high-risk patients. Conclusions The XGBoost model established in a multicenter environment is accurate and well-calibrated in predicting potential organ donors. Combined with DCA, it may effectively guide the timing of clinical interventions and resource allocation, providing new ideas for the assessment and management of organ donation after brain death.

Objective To investigate the therapeutic effect of Huangkui capsules on targeted drug-related proteinuria in patients with hepatocellular carcinoma (HCC). Methods A retrospective analysis was conducted on clinical data of HCC patients with targeted drug-related proteinuria from June 2023 to December 2024 at Zhongshan Hospital, Fudan University. According to the treatment plan, patients were divided into the conventional treatment group and the Huangkui combination treatment group (Huangkui capsules combined with conventional treatment), and the clinical efficacy between the two groups was compared. The logistic regression analysis was used to identify the main factors affecting treatment efficacy. Results The Huangkui combination treatment group (n＝29) showed a significantly higher overall effective rate (79.3% vs 42.3%, P＝0.005), and an earlier proteinuria improvement (median time: 3 months vs 6 months, P＝0.008) than the conventional treatment group (n＝26) . The multivariate logistic regression analysis showed angiotensin-converting enzyme inhibitor (ACEI) or angiotensin Ⅱ receptor blocker (ARB) using (OR＝0.190, 95%CI 0.045-0.808, P＝0.025), targeted drug adjustment (OR＝0.132, 95%CI 0.030-0.581, P＝0.007), and Huangkui capsules using (OR＝0.168, 95%CI 0.039-0.730, P＝0.017) were protective factors for treatment efficacy of targeted drug-related proteinuria. Conclusions On the basis of conventional treatment, additive treatment with Huangkui capsules can alleviate targeted drug-related proteinuria faster and more effectively in HCC patients.

Objective To compare the gut fungal composition between gout patients and healthy individuals through high-throughput sequencing of ribosomal DNA internal transcribed spacer 1(ITS1).Methods Gout patients and healthy volunteers who visited our hospital from January 2023 to December 2024 were enrolled in this study.Then based on established medical guidelines,the gout patients were categorized into 3 groups:Group H(asymptomatic hyperuricemia,n=14),Group G(acute gouty arthritis,n=14),and Group I(intercritical period of gouty arthritis,n=15),and the healthy individuals were assigned into Group N(n=9).Fecal samples were collected from all the participants to undergo ITS1 sequencing analysis.The differences in diversity and composition of gut mycobiome,and FunGuild-derived fungal functions and nutritional status were compared among the 4 groups,and the correlation between the gut mycobiome and clinical indicators was analyzed.Results There were no significant differences in baseline features such as gender,age,glomerular filtration rate(GFR),and levels of serum creatinine(SCr)and serum urea among Group N and other gout groups,but obvious differences were observed in body mass index(BMI),erythrocyte sedimentation rate,and levels of C-reactive protein(CRP),serum uric acid(SUA),and IL-1β and IL-6(P<0.05).In terms of gut fungal diversity,ITS1 analysis showed there were no statistical differences in α-diversity or the principal coordinate analysis(PCoA)of β-diversity among the groups.However,as gout progressed,significant changes were observed in β-diversity indices,indicating a shift in the gut fungal community composition with disease advancement(P<0.05).The phyla Ascomycota,Basidiomycota,and Mucoromycotina were the dominant fungal phyla in all groups.Compared with the other 3 gout groups,the abundance of Pichia was significantly increased in Group N(P<0.05),that of Saccharomyces was in Group H(P<0.05),and that of Starmerella was in Group G(P<0.05).Correlation analysis between the gut mycobiome and clinical indices indicated that the relative abundance of Starmerella was significantly positively correlated with IL-1β(P<0.01)and IL-6(P<0.05).The relative abundance of Pichia was significantly positively correlated with IL-1β and IL-6 levels(P<0.05),and negatively correlated with serum urea level(P<0.05),and the relative abundance of Saccharomyces was negatively correlated with IL-1β and IL-6 levels(P<0.05).Conclusion There exist significant alterations in both the diversity and composition of gut fungi among patients with gout at various stages.Notably,the fluctuations in the relative abundance of Starmerella,Pichia and Saccharomyces appear to correlate with key clinical indicators.

Objective To investigate the potential therapeutic targets and underlying molecular mechanisms of Z-ligustilide(Z-LIG)in treating retinitis pigmentosa(RP).Methods By integrating multiple databases,such as GeneCards and TargetNet,common targets for RP and Z-LIG were identified.Protein-protein interaction(PPI)network analysis of the targets was conducted using the STRING database and analyzed in Cytoscape to identify core targets.The DAVID database was employed for the functional enrichment analysis of Gene Ontology(GO)and the pathway enrichment analysis of Kyoto Encyclopedia of Genes and Genomes(KEGG)for the core targets.The PubChem database was accessed for molecular docking verification to validate the binding affinity between Z-LIG and the core targets.Finally,male rd10 mice were randomly divided into a control group(n=5)and a Z-LIG treatment group(n=5).The protective effect of Z-LIG on the visual function in rd10 mice was verified through visual electrophysiology and behavioral tests.Western blotting and RT-qPCR were utilized to investigate the molecular mechanism of action.Results A total of 66 shared targets between RP and Z-LIG were identified through the screening process.PPI network analysis identified 55 key targets.GO enrichment analysis yielded 623 terms,which covering 3 dimensions,including cellular component(CC),molecular function(MF),and biological process(BP),such as inflammatory response.KEGG pathway enrichment analysis further concentrated 124 terms,which were enriched in the PI3K-Akt signaling pathway.Molecular docking suggested that Z-LIG could specifically bind with high affinity to RP-related core targets(such as EGFR and STAT3)via hydrogen bonds.In animal experiments,compared to the control group,the rd10 mice from the Z-LIG group showed a greater preference for the dark environment in the light/dark transition test(P<0.05),exhibited significantly higher amplitudes of A-wave and B-wave in electroretinogram(ERG)(P<0.05),greater number of outer nuclear layers,with fewer apoptotic cells and less microglial activation(P<0.05),demonstrated obviously reduced protein levels of p-PI3K/PI3K and p-AKT/AKT in the retina(P<0.05),and had notably down-regulated mRNA levels of pro-inflammatory cytokines IL-1β and IL-6(P<0.05).Conclusion Z-LIG may exert a protective effect on the retina of rd10 mice by inhibiting the activation of the PI3K/AKT-inflammatory axis,thereby delaying retinal degeneration.

A novel analytical method was developed in this study by combining online solid phase extraction with ultra performance liquid chromatography-tandem mass spectrometry(Online SPE-UPLC-MS/MS)for simultaneous determination of 50 kinds of steroid hormones in surface water.Specifically,after high-speed centrifugation of 4 mL water samples,the supernatant was directly injected into an Oasis HLB online SPE column for enrichment and purification.Subsequently,the target compounds were transferred to the analytical column via valve switching for separation and analysis.The chromatographic separation was performed on a Thermo Acclaim RSLC C18 column(100 mm×2.1 mm,2.2 μm),using a mobile phase composed of 5 mmol/L ammonium fluoride aqueous solution and acetonitrile.Mass spectrometric detection was conducted in positive ion mode,utilizing multiple reaction monitoring(MRM)with quantification achieved by the internal standard method.The method validation demonstrated that the limits of detection(LOD)for the 50 kinds of steroid hormones ranged from 0.02 to 0.50 ng/L,while the limits of quantification(LOQ)were between 0.08 and 1.67 ng/L.The average recoveries in surface water samples at spiked concentrations of 5,20 and 200 ng/L were between 74.1％and 119％,with relative standard deviations(RSDs)of 0.2％to 9.9％.This method was applied to analyze 11 surface water samples collected from sites surrounding a pharmaceutical and chemical industrial park.A total of 44 kinds of steroid hormones were detected,with concentrations ranging from 0.11 to 88.6 ng/L,revealing the presence of hormone contamination in the environmental waters surrounding industrial areas.Compared with the traditional offline SPE methods,the proposed online SPE technique significantly reduced sample volume requirements and pretreatment time,while minimizing the loss of target compounds during the pretreatment process.Moreover,compared to reported online SPE techniques,this method achieved high-throughput analysis of multiple classes of steroid hormones,with lower detection limits and higher recoveries.Overall,this method provided rapid sample preparation,high sensitivity,and excellent stability,making it suitable for the direct analysis of trace steroid hormones in surface water.

Objective To investigate the relationship between serum microRNA(miRNA,miR)-9-5p,miR-21-5p and miR-206 and hemorrhagic transformation(HT)occurs and prognosis in patients with large ar-tery atherosclerotic cerebral infarction(ACI-LAA)after thrombolysis.Methods A total of 265 patients with ACI-LAA admitted to the hospital from April 2021 to November 2023 were selected as the research objects.According to whether HT occurred after intravenous thrombolysis,they were divided into non-HT group and HT group,and the expression levels of serum miR-9-5p,miR-21-5p and miR-206 were compared between the two groups.The general data of patients with ACI-LAA were collected.Univariate and multivariate Logistic regression analysis were used to analyze the influencing factors of HT occurs in patients with ACI-LAA after thrombolysis.The receiver operating characteristic(ROC)curve was used to analyze the efficacy of serum miR-9-5p,miR-21-5p and miR-206 expression levels in predicting HT occurs after thrombolysis in patients with ACI-LAA.The patients with ACI-LAA were followed up for 90 d.According to the modified Rankin scale(mRS)score,the patients were divided into a good prognosis group and a poor prognosis group,and the expression levels of serum miR-9-5p,miR-21-5p and miR-206 were compared between the two groups.Univa-riate and multivariate Logistic regression analysis were used to analyze the influencing factors of poor progno-sis in patients with ACI-LAA.ROC curve was used to analyze the efficacy of serum miR-9-5p,miR-21-5p and miR-206 expression levels in predicting poor prognosis of patients with ACI-LAA.Results HT occurred in 74(27.92％)of 265 patients with ACI-LAA after thrombolysis.Compared with the non-HT group,the National Institutes of Health Stroke Scale(NIHSS)score atadmission,the proportion of hypertension,the proportion of infarct size &ge;10 cm2,and the expression levels of serum miR-21-5p and miR-206 were significantly in-creased in the HT group(P＜0.05).However,the expression level of serum miR-9-5p was decreased(P＜0.05).Hypertension,high NIHSS score at admission,the proportion of infarct size &ge;10 cm2,high expression of miR-21-5p and miR-206 were risk factors for HT occurs in patients with ACI-LAA after intravenous thrombolysis,and high expression of miR-9-5p was a protective factor(P＜0.05).The ROC curve showed that the area under the curve(AUC)and 95％CI of single and combined detection of serum miR-9-5p,miR-21-5p and miR-206 for predicting HT occurs were 0.796(0.726-0.866),0.779(0.711-0.846),0.784(0.714-0.854),0.891(0.839-0.943),respectively.Among 265 patients with ACI-LAA,83 patients(31.32％)had poor prognosis at 90 d of follow-up.Compared with the good prognosis group,the age,NIHSS score at admis-sion,the proportion of HT,the proportion of infarct size &ge;10 cm2,and the expression levels of serum miR-21-5p and miR-206 were increased(P＜0.05),and the expression level of serum miR-9-5p was decreased(P＜0.05)in the poor prognosis group.Advanced age,high NIHSS score at admission,HT,infarct size &ge;10 cm2,high expression of miR-21-5p,and high expression of miR-206 were risk factors for poor prognosis of ACI-LAA patients,and high expression of miR-9-5p was a protective factor(P＜0.05).The ROC curve showed that The AUC(95％CI)of single and combined detection of serum miR-9-5p,miR-21-5p and miR-206 for predicting poor prognosis were 0.754(0.691-0.818),0.779(0.719-0.838),0.792(0.815-0.919),0.931(0.902-0.960),respectively.Conclusion Low expression of serum miR-9-5p,high expression of miR-21-5p and high expression of miR-206 are associated with the HT occurs and poor prognosis in patients with ACI-LAA after thrombolysis,and the combined detection of the three indicators has a high predictive value for the HT occurs and poor prognosis.

The pathway by which cells obtain energy is inconsistent in aerobic and anaerobic conditions, glucose enters the cell and is converted into pyruvate by glycolysis under the action of hexokinase. When oxygen is sufficient, pyruvate enters the mitochondrial matrix and is converted into acetyl-CoA under the action of pyruvate dehydrogenase to participate in the tricarboxylic acid cycle and ultimately produce the necessary energy support for cell activities. When the cells are in an hypoxic state, pyruvate can produce lactic acid under the action of lactate dehydrogenase, and then carry out the corresponding cell activities after being energized. In recent years, advances in scientific research have elucidated that lactate serves not only as a crucial energy source, directly participating in metabolic processes such as mitochondrial respiration, but also plays critical roles in various physiological and pathological processes, including the regulation of inflammation, tissue repair, memory formation, and neuroprotection. These multifaceted functions further influence the onset, progression, and prognosis of diseases, thereby underscoring the broad regulatory significance of lactate in organismal physiology. Lactic acid modification is also associated with the occurrence and development of vascular related diseases, including changes in vascular endothelial microenvironment, lactic acid accumulation after thrombosis and inflammation, promotion of vascular endothelial microenvironment hypoxia, and lactic acid stimulation of vascular endothelial cells to produce inflammatory response. Clarifying the relationship between lactate modification and vaso-related diseases may help to reveal the underlying mechanism of disease occurrence and development. This article reviews the relationship between Lactylation and vascular related diseases, aiming to provide new targets and references for the treatment of vascular related diseases.