Reproductive system diseases are among the primary contributors to the decline in social fertility rates and the intensification of aging, posing significant threats to both physical and mental health, as well as quality of life. Recent research has revealed the substantial potential of the gut microbiota in improving reproductive system diseases. Under healthy conditions, the gut microbiota maintains a dynamic balance, whereas dysfunction can trigger immune-inflammatory responses, metabolic disorders, and other issues, subsequently leading to reproductive system diseases through the gut-gonadal axis. Reproductive diseases, in turn, can exacerbate gut microbiota imbalance. This article reviews the impact of the gut microbiota and its metabolites on both male and female reproductive systems, analyzing changes in typical gut microorganisms and their metabolites related to reproductive function. The composition, diversity, and metabolites of gut bacteria, such as Bacteroides, Prevotella, and Firmicutes, including short-chain fatty acids, 5-hydroxytryptamine, γ-aminobutyric acid, and bile acids, are closely linked to reproductive function. As reproductive diseases develop, intestinal immune function typically undergoes changes, and the expression levels of immune-related factors, such as Toll-like receptors and inflammatory cytokines (including IL-6, TNF-α, and TGF-β), also vary. The gut microbiota and its metabolites influence reproductive hormones such as estrogen, luteinizing hormone, and testosterone, thereby affecting folliculogenesis and spermatogenesis. Additionally, the metabolism and absorption of vitamins can also impact spermatogenesis through the gut-testis axis. As the relationship between the gut microbiota and reproductive diseases becomes clearer, targeted regulation of the gut microbiota can be employed to address reproductive system issues in both humans and animals. This article discusses the regulation of the gut microbiota and intestinal immune function through microecological preparations, fecal microbiota transplantation, and drug therapy to treat reproductive diseases. Microbial preparations and drug therapy can help maintain the intestinal barrier and reduce chronic inflammation. Fecal microbiota transplantation involves transferring feces from healthy individuals into the recipient’s intestine, enhancing mucosal integrity and increasing microbial diversity. This article also delves into the underlying mechanisms by which the gut microbiota influences reproductive capacity through the gut-gonadal axis and explores the latest research in diagnosing and treating reproductive diseases using gut microbiota. The goal is to restore reproductive capacity by targeting the regulation of the gut microbiota. While the gut microbiota holds promise as a therapeutic target for reproductive diseases, several challenges remain. First, research on the association between gut microbiota and reproductive diseases is insufficient to establish a clear causal relationship, which is essential for proposing effective therapeutic methods targeting the gut microbiota. Second, although gut microbiota metabolites can influence lipid, glucose, and hormone synthesis and metabolism via various signaling pathways—thereby indirectly affecting ovarian and testicular function—more in-depth research is required to understand the direct effects of these metabolites on germ cells or granulosa cells. Lastly, the specific efficacy of gut microbiota in treating reproductive diseases is influenced by multiple factors, necessitating further mechanistic research and clinical studies to validate and optimize treatment regimens.

With the continuous development of society, a large number of new chemicals are continuously emerging, which presents a challenge to current risk assessment and safety management of chemicals. Traditional toxicology research methods have certain limitations in quickly, efficiently, and accurately assessing the toxicity of many chemicals, and cannot meet the actual needs. In response to this challenge, computational toxicology that use mathematical and computer models to achieve the prediction of chemical toxicity has emerged. In the meantime, as researchers increasingly pay attention to understanding the interaction mechanisms between exogenous chemical substances and the body from the system level, and multiomics technologies develop rapidly such as genomics, transcriptomics, proteomics, and metabolomics, huge amounts of data have been generated, providing rich information resources for studying the interactions between chemical substances and biological molecules. System toxicology and network toxicology have also developed accordingly. Of these, network toxicology can integrate these multiomics data to construct biomolecular networks, and then quickly predict the key toxicological targets and pathways of chemicals at the molecular level. This paper outlined the concept and development of network toxicology, summarized the main methods and supporting tools of network toxicology research, expounded the application status of network toxicology in studying potential toxicity of exogenous chemicals such as agricultural chemicals, environmental pollutants, industrial chemicals, and foodborne chemicals, and analyzed the development prospects and limitations of network toxicology research. This paper aimed to provide a reference for the application of network toxicology in other fields.

OBJECTIVE To summarize the current status of position training for clinical pharmacists in China and provide references for the continuous optimization of such training programs. METHODS SinoMed， CNKI，VIP and Wanfang Data were electronically searched to collect position training of clinical pharmacists studies from the inception until November 5th 2024. After data extraction and quality evaluation， descriptive analysis was performed on the results of the included studies. RESULTS & A total of 68 pieces of relevant literature were included in the study. Among them， 50 studies reported on training content， 49 involved the allocation of teaching resources in the bases， 48 addressed training methods， and 39 focused on training evaluation； only 2 studies mentioned faculty development. There were notable variations in the clinical pharmacist training programs across different bases， particularly in the allocation of teaching resources， such as the composition of the teaching team and the utilization of auxiliary teaching tools. Additionally， differences existed in training approaches， such as those employing a single method versus a blended approach. Conversely， the core training content of each base generally revolved around clinical pharmacy practice， demonstrating a degree of consistency. Moreover， the overall emphasis on teacher training and assessment tended to be obviously insufficient. Each base can focus on enhancing the competence of clinical pharmacists by allocating teaching resources， selecting training methods， improving training content， and using evaluation tools， to further enhance the quality of clinical pharmacist training.

ObjectiveTo investigate the influenza virus infection status of influenza-like illness (ILI) at a sentinel hospital in Baoshan District of Shanghai, to explore the seasonal patterns of influenza, so as to provide a scientific basis for influenza prevention and control in Baoshan District of Shanghai. MethodsSurveillance data and pathogenic testing results of ILI from the monitoring year of 2015 to 2023 were collected from the sentinel hospital to describe the seasonal epidemic characteristics of influenza in this district. ResultsThe proportion of ILI visits to sentinel hospital in Baoshan District of Shanghai showed an upward trend from 2015 to 2023 (Z=2.598, P=0.09). The positive rate of influenza virus in ILI was 20.43% (1 761/8 621), of which 14.17% were positive for influenza A virus, including 8.43% for influenza A/H3N2 and 5.74% for influenza A/H1N1. The positive rate of influenza B virus was 6.25%, of which the positive detection rate of influenza B/Victoria virus was 5.35%, while that of influenza B/Yamagata virus was 0.90%. Influenza B/Yamagata virus was not detected in 2019‒2023. The highest positivity rate was observed in the 5‒<15 years age group (25.57%). The positive rate of ILI was lower in males (19.90%) than that in females (20.90%). There were three patterns of influenza epidemic in the district: with year-round circulation in 2016‒2017 and 2021‒2022; with bimodal peaks in 2015‒2016, 2017‒2018 and 2022‒2023; and with one peak in 2018‒2019 and 2019‒2020. The positive rate of influenza virus exhibited seasonal variations, with influenza A virus predominated in summer and autumn. However, influenza B virus showed an increase in spring and winter. ConclusionThe influenza epidemic in Baoshan District, Shanghai exhibits diverse patterns with heterogeneous epidemiological characteristics across different age groups and seasons. Notably, children and adolescents aged 5‒<15 years constitute the key target population for influenza prevention and control. Enhanced surveillance and targeted control measures against influenza A/H3N2 lineage viruses are particularly warranted during summer and autumn seasons.

Aim To explore the effect of targeted inhi-bition of co-signaling molecule B7-H3 on the growth,migration,and angiogenesis ability of human umbilical vein endothelial cells(HUVECs).Methods Small interference RNA was used to knock down HUVECs B7-H3 molecules.CCK-8 test was used to detect cell proliferation at 24 h,48 h and 72 h.Transwell test was then used to detect 24 h cell migration,and three-dimensional cell culture was used to observe cell angio-genesis.Results Compared with the negative control group(siRNA-Control),siRNA-720,siRNA-1707 and siRNA-1690 had different inhibitory effects on the expression of B7-H3.B7-H3 inhibition of siRNA-1690 was significantly higher than that of siRNA-720 and siRNA-1707,and siRNA-1690 sequence was chosen for follow-up experiment.The results of CCK-8 cell vi-ability assay showed that the proliferation ability of HU-VECs decreased by 24％,22％(P＞0.05,compared with 24 h)and 15％(P＜0.05,compared with 48 h)respectively at 24 h,48 h and 72 h after B7-H3 knockout.The migration ability of B7-H3 for 24 h was significantly lower than that of siRNA-Control group(P＜0.01).The results of three-dimensional cell cul-ture showed that the angiogenic ability of HUVECs de-creased significantly after si-B7-H3 knockdown of B7-H3 gene(P＜0.01).Conclusion Targeting B7-H3 inhibits the growth,migration,and angiogenesis of hu-man umbilical vein endothelial cells.

Aim To explore the ameliorative effects of berberine(BBR)on diabetic nephropathy(DN)in mice and investigate its potential mechanisms through transcriptomic analysis.Methods 8-week-old db/db mice were randomly assigned into four groups:model group(DN group),BBR 50 mg·kg-1 group(BBR-L group),BBR 100 mg·kg-1 group(BBR-H group),and empagliflozin 10 mg·kg-1 group(EMPA group).Age-matched db/m mice were used as the control group(NC group),with eight mice in each group.Each group received intragastric administration once daily for eight weeks.After the treatment,serum,u-rine,and kidney samples were collected to evaluate re-nal function indicators and observe renal pathological changes.Differentially expressed genes(DEGs)in kidney tissue were identified through transcriptomic a-nalysis,followed by KEGG and GO enrichment analy-sis.Potential targets were further validated using mo-lecular docking,molecular dynamics simulations,West-ern blot,and immunohistochemistry.Results Both BBR and EMPA significantly reduced fasting blood glu-cose levels in DN mice,improved renal function,and alleviated renal injury and fibrosis.Compared to the NC group,855 DEGs were identified in the DN group,while 194 DEGs were identified in the BBR-H group compared to the DN group.KEGG enrichment analysis indicated that the mechanisms underlying BBR's effects on DN were primarily related to type 1 diabetes and bile secretion pathways.Molecular docking results demonstrated a strong binding affinity between BBR and FXR and a moderate binding affinity with SHP.Molecular dynamics simulations corroborated the doc-king results.FXR and SHP protein expression signifi-cantly decreased in the DN group compared to the NC group.At the same time,BBR treatment significantly increased the expression of these proteins compared to the DN group.Conclusion BBR may mitigate DN-in-duced renal injury by modulating bile acid and lipid homeostasis through the FXR-SHP pathway.

The objective of this study was to determine the frequency and resistance patterns of ESBL-producing E.coli in lambs with diarrhea in the Kashi area,Xinjiang.The findings may provide guidance for the prevention and control of clinical E.coli disease.We collected 385 samples of perianal feces from lambs with diarrhea in the Kashgar area.From these samples,we isolated 371 strains of E.coli.We then used the double-paper-sheet synergistic method to screen for ESBL-producing E.coli.Additionally,we conducted analyses to identify drug-resistance genes,analyze drug resistance,and study the phylo-typing of the screened strains.Of 371 E.coli strains,204 were identified as ESBL-producing strains.The prevalence rates of blaCTX-M,blaCTX-M-1G,blaCTX-M-9G,and bla TEM resistance genes was 67.65％,69.12％,30.39％,and 63.73％,respectively.All ESBL-pro-ducing strains were resistant to multiple drugs,with resistance rates ranging from 90.69％to 100％for eight specific drugs:ampicillin,cefotaxime,gentamicin,enrofloxacin,azithromy-cin,tetracycline,chloramphenicol,methotrexate,and amitrazine.The phylogenetic subgroups of the strains were distributed primarily in groups A and D.Among group A strains,41.11％exhibited resistance to ten drugs,whereas among group D strains,40％exhibited resistance to 11 drugs.ESBL-pro-ducing strains of Escherichia coli are the main pathogens cau-sing diarrhea in lambs in the Kashgar region;group A is the main group,and all groups are multi-drug resistant.

Objective:This study aims to evaluate the impact of Diagnosis-Related-Groups(DRGs)payment on the average total cost,length of stay,service volume,effectiveness,and characteristics of traditional Chinese medicine(TCM)hospitals.Methods:A national medical center specializing in TCM was selected as the research subject.The Difference-in-Difference Model(DID)was utilized to analyze the differences in various indicators between insured patients(intervention group)and uninsured patients(control group)before and after the implementation of the payment reform policy.The reliability and stability of the model were verified through parallel trend tests and placebo tests.Results:The coefficients of DID interaction terms for eleven indicators including average total hospitalization cost,number of cases,length of stay,proportion of medical service revenue,and proportion of herbal medicine revenue were significant(P<0.05).The DID interaction term coefficients for four indicators including herbal medicine usage rate and proportion of non-pharmacological TCM therapy revenue were not significant(P>0.05).Conclusion:DRG payment significantly reduced the per-admission cost,with significant decreases in consumables and medical technology expenses,optimizing cost structure,and a slight decrease in the proportion of herbal medicine costs.It is necessary to further expand the sample size,track policy impacts,and comprehensively evaluate the effects of DRG payment on TCM hospitals in China.

Wnt/β-catenin is a signaling pathway associated with embryonic development, organ formation, cancer, and fibrosis. Its activation can repair kidney damage during acute kidney injury (AKI) and accelerate the occurrence of renal fibrosis after chronic kidney disease (CKD). Interestingly, p53 has also been found as a key modulator in AKI and CKD in recent years. Meantime, some studies have found crosstalk between Wnt/β-catenin signaling pathways and p53, but more evidence is required on whether they have synergistic effects in renal disease progression. This article reviews the role and therapeutic targets of Wnt/β-catenin and p53 in AKI and CKD and proposes for the first time that Wnt/β-catenin and p53 have a synergistic effect in the treatment of renal injury.

Objective:To evaluate the relationship between the Geriatric Nutritional Risk Index (GNRI) and postoperative pulmonary complications (PPCs) in elderly patients undergoing thoracoscopic lung resection.Methods:Two hundred and ninety-one elderly patients of either sex, aged ≥60 yr, of American Society of Anesthesiologists Physical Status classificationⅠ-Ⅲ, undergoing elective thoracoscopic lung resection at Xuzhou Cancer Hospital from July 2022 to September 2023, were selected. Patients were divided into high GNRI group or low GNRI group based on the optimal cutoff value of GNRI (represented as a continuous variable) determined by the receiver operating characteristic curve to predict PPCs. The occurrence of PPCs was compared between the two groups within the first 7 postoperative days. The relationship between GNRI and PPCs was evaluated by the logistic regression analysis. The nonlinear correlation between GNRI score (expressed as a continuous variable) and PPCs was investigated by the restricted cubic spline. The accuracy of the GNRI, Assess Respiratory Risk in Surgical Patients in Catalonia (ARISCAT) score, and combination of the two in predicting the occurrence of PPCs was evaluated by the areas under the ROC curve (95% confidence interval[ CI]). Results:A total of 269 patients were finally included, with 114 in high GNRI group (GNRI≥100.9) and 155 in low GNRI group (GNRI<100.9). Compared with high GNRI group, the incidence of PPCs was significantly increased compared with low GNRI group (42.6% vs 16.7%, P<0.001). The multivariate logistic regression analysis showed that low GNRI was a risk factor for PPCs, while elevated GNRI score was a protective factor for PPCS in elderly patients undergoing thoracoscopic lung resection ( P<0.05). The restricted cubic spline showed a linear correlation between GNRI score and PPCs ( P=0.947). The areas under the receiver operating characteristic curves of the GNRI, ARISCAT score, and combination of the two in predicting PPCs were 0.646 (95% CI 0.589-0.704), 0.619 (95% CI 0.564-0.674) and 0.708 (95% CI 0.647-0.769), respectively. Conclusions:Low GNRI is an independent risk factor for PPCs in elderly patients undergoing thoracoscopic lung resection, while elevated GNRI score is a protective factor. The combination of GNRI and ARISCAT score can predict the occurrence of PPCs.