Objective This study aims to explore the causal relationships between 731 immune cell phenotypes and cervical cancer using a two-sample Mendelian randomization(MR)analysis.Methods Utilizing results from genome-wide association study(GWAS),inverse variance weighted(IVW),MR-Egger regression,weighted median,simple mode and weighted mode were used for MR analysis,and sensitivity analysis was used for quality control of heterogeneity and horizontal pleiotropy.Results Using IVW as the primary analytical method and ensuring consistency in the direction of results across all five MR methods,we identified five immune cell phenotypes potentially causally associated with cervical cancer.Among these,relative count of central memory CD4+T cells in all CD4+T cells(CM CD4+％CD4+)(ORIVW=0.804,95％CI:0.685-0.943,PIVW=0.0074),absolute count of naive CD8 bright T cell(Naive CD8br AC)(ORIVW=0.493,95％CI:0.359-0.676,PIVW=0.000 01)and median fluorescence intensities of CD45 on immature myeloid-derived suppressor cells(CD45 on Im MDSC)(RIVW=0.746,95％CI:0.609-0.914,PIVW=0.0048)were positively associated with cervical cancer risk,while median fluorescence intensities of IgD on IgD+CD38-unswitched memory B cell(IgD on IgD+CD38-unsw mem)(RIVW=1.393,95％CI:1.148-1.690,PIVW=0.000 78)and median fluorescence intensities of CD3 on terminally differentiated CD8 bright T cell(CD3 on TD CD8br)(ORIVW=1.267,95％CI:1.082-1.483,PIVW=0.0033)were negatively associated with cervical cancer risk.Conclusion This study identifies five immune cell phenotypes closely related to cervical cancer risk through genetic analysis,providing new insights for early prevention and the development of novel immunotherapies for cervical cancer.

Guided by the pathogenesis of"structure-activity imbalance of lung collaterals",this paper proposes that structure-activity imbalance of lung collaterals is the initial factor of idiopathic pulmonary fibrosis(IPF)and elucidates the pathogenesis of abnormal changes in biomechanical properties of IPF.It is postulated that the changes of biomechanical properties of lung tissue are closely related to the injury of lung qi collaterals,the abnormal mechanical stress are closely related to the injury of lung blood collaterals,and the biomechanical response of intrapulmonary resident cells is closely related to the structure-activity imbalance of lung collaterals,which ultimately leading to abnormal increase in lung tissue stiffness and progressive scarring formation in lung tissue.Integrating traditional pathogenesis concepts with microscopic pathological changes,and the in-depth exploration of the correlation between the structure-activity imbalance of lung collaterals and the biomechanical properties of IPF can provide direction for exploring IPF medical-engineering cross research,which are of great significance for enriching the syndrome and treatment system of lung collateral diseases.

ObjectiveTo investigate the protective effect and mechanism of action of flavonoid combination of Alpiniae Officinarum Rhizoma （A. officinarum） against Helicobacter pylori （H. pylori） gastritis in mice. MethodsAfter acclimatization for one week， 56 SPF-grade healthy C57BL/6J mice were gavaged with mixed antibiotics for three consecutive days. They were randomly divided into a normal group， model group， positive drug group （triple therapy group）， and low- and high-dose groups （100， 200 mg·kg^-1） of flavonoid combination of A. officinarum. The H. pylori gastritis mice model was established by gavage with H. pylori bacterial suspension in each group except for the normal group. After successful modeling， mice were administrated with corresponding drugs once a day for two weeks. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in gastric tissue. Rapid urease test paper was used to detect the positive rate of H. pylori. Silver staining was used to observe the H. pylori adherence on the surface of gastric tissue. Immunohistochemistry was used to detect the protein expression of interleukin-8 （IL）-8 and myeloid differentiation factor （MyD88） in gastric tissue. The serum levels of IL-6， tumor necrosis factor-α （TNF-α）， IL-8， and IL-1β were detected by enzyme-linked immunosorbent assay （ELISA）. The expressions of phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） protein were detected by Western blot. ResultsCompared with those in the normal group， mice in the model group had lower gastric weight coefficients， higher pH of gastric juice， 100% H. pylori infection rate， and significantly changed gastric histopathology. The expressions of IL-8 and MyD88 proteins in the gastric tissue of mice in the model group were significantly elevated， and the serum levels of inflammatory factors IL-6， TNF-α， IL-8， and IL-1β were significantly up-regulated in mice. Compared with that in the model group， the gastric weight coefficient of mice in each treatment group of the flavonoid combinations of A. officinarum was elevated （P<0.01）， and the pH of gastric juice was reduced （P<0.01）. The infection rate of H. pylori was reduced. The expressions of IL-8 and MyD88 proteins in the gastric tissue of mice in the treatment groups were significantly reduced （P<0.01）， and the serum levels of inflammatory factors IL-6， TNF-α， IL-8， and IL-1β were significantly reduced in a dose-dependent manner （P<0.01）. The flavonoid combinations of A. officinarum down-regulated the expression of PI3K and Akt proteins in H. pylori gastritis-infected cells （P<0.01）. ConclusionThe protective effect of flavonoid combinations of A. officinarum against H. pylori gastritis is associated with the inhibition of H. pylori infection rate and regulation of PI3K/Akt signaling pathway， resulting in inhibiting the release of inflammatory factors.

Animal experiments are an essential component of life sciences and medical research. However, the external validity and reliability of individual animal studies are frequently challenged by inherent limitations such as small sample sizes, high design heterogeneity, and poor reproducibility, which impede the effective translation of research findings into clinical practice. Systematic reviews and meta-analysis represent a key methodology for integrating existing evidence and enhancing the robustness of conclusions. Currently, however, the application of systematic reviews and meta-analysis in the field of animal experiments lacks standardized guidelines for their conduct and reporting, resulting in inconsistent quality and, to some extent, diminishing their evidence value. To address this issue, this paper aims to systematically delineate the reporting process for systematic reviews and meta-analysis of animal experiments and to propose a set of standardized recommendations that are both scientific and practical. The article's scope encompasses the entire process, from the preliminary preparatory phase [including formulating the population， intervention， comparison and outcome （PICO） question, assessing feasibility, and protocol pre-registration] to the key writing points for each section of the main report. In the core methods section, the paper elaborates on how to implement literature searches, establish eligibility criteria, perform data extraction, and assess the risk of bias, based on the Preferred Reporting Items for Systematic Reviews and Meta-analysis （PRISMA) statement, in conjunction with relevant guidelines and tools such as Animal Research： Reporting of in Vivo Experiments （ARRIVE) and a risk of bias assessment tool developed by the Systematic Review Centre for Laboratory Animal Experimentation (SYRCLE). For the presentation of results, strategies are proposed for clear and transparent display using flow diagrams and tables of characteristics. The discussion section places particular emphasis on how to scientifically interpret pooled effects, thoroughly analyze sources of heterogeneity, evaluate the impact of publication bias, and cautiously discuss the validity and limitations of extrapolating findings from animal studies to clinical settings. Furthermore, this paper recommends adopting the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology to comprehensively grade the quality of evidence. Through a modular analysis of the entire reporting process, this paper aims to provide researchers in the field with a clear and practical guide, thereby promoting the standardized development of systematic reviews and meta-analysis of animal experiments and enhancing their application value in scientific decision-making and translational medicine.

Enhanced recovery after surgery (ERAS) is a series of perioperative optimization measures based on evidence-based medicine aimed at achieving rapid recovery. Existing studies have shown that ERAS can effectively reduce surgical stress, decrease the incidence of complications, shorten hospital stays, save medical costs, and improve patient satisfaction. Although lung transplantation techniques have become increasingly mature, lung transplant recipients still have a high incidence of complications during perioperative period. To further improve the perioperative survival rate of lung transplant recipients, introducing ERAS concept into the perioperative management strategy of lung transplantation is of great significance for reducing incidence of perioperative complications, promoting rapid recovery and long-term survival of lung transplant recipients. This article discusses the advances in application of ERAS concept in the perioperative management of lung transplantation, aiming to provide references for optimizing the perioperative management of lung transplant recipients and reducing perioperative complications.

Objective:To investigate whether neoadjuvant therapy can improve the prognosis of patients with pancreatic cancer.Methods:A retrospective case-control study analyzed data from the Surveillance, Epidemiology, and End Results (SEER) database on 12, 103 patients who underwent surgical treatment between January 1, 2010, and December 31, 2021. Patients were divided into the neoadjuvant therapy group ( n=3 276) and the upfront surgery group ( n=8 827) based on whether they received neoadjuvant treatment. The neoadjuvant therapy group included 2 342 patients receiving neoadjuvant chemotherapy and 934 patients receiving neoadjuvant chemoradiotherapy. The upfront surgery group consisted of 4 335 patients receiving adjuvant chemotherapy, 1 987 patients receiving adjuvant chemoradiotherapy, 63 patients receiving adjuvant radiotherapy, and 2 442 patients undergoing surgery alone. Propensity score matching was used to eliminate group differences and create a cohort with no statistical differences in other clinicopathological features except for the grouping variable. Variables such as age, gender, tumor location, race, population of residence, tumor diameter, household income, TNM stage, and information on radiotherapy and chemotherapy were used for 1∶1 case matching. T stage, N stage, and the use of radiotherapy or chemotherapy were matched exactly. After matching, 1 182 patients were included in each group: the neoadjuvant therapy group contained 1 155 patients receiving neoadjuvant chemoradiotherapy and 27 receiving neoadjuvant chemotherapy, while the upfront surgery group comprised 848 patients receiving adjuvant chemotherapy and 334 receiving adjuvant chemoradiotherapy. TNM staging was reported according to the 7th edition of the AJCC guidelines. The primary outcome was overall survival. Measurement data with skewed distributions were expressed as M( Q1, Q3), and intergroup comparisons were conducted using the Wilcoxon rank-sum test. Categorical data were compared using the chi-square test or the Fisher′s exact test. The Log-rank test and subgroup analyses to assess interactions between neoadjuvant therapy and subgroup in COX regression models were used to compare survival benefits across variables. Landmark analysis was performed to create segmented survival curves, studying the impact of neoadjuvant therapy on prognosis during different follow-up periods. Results:The neoadjuvant therapy group had a higher proportion of T 4 tumor involving celiac axis, superior mesenteric artery, and/or common hepatic artery compared to the upfront surgery group (14.7% vs 2.8%, P<0.001). Additionally, significant differences were observed between groups in terms of race, location, population of residence, age, tumor diameter, tumor stage, and adjuvant therapy regimen ( P<0.05). The median overall survival time in the neoadjuvant therapy group was 30 months, compared to 22 months in the upfront surgery group ( P<0.001). In the neoadjuvant therapy group, the median survival was 30 months for both neoadjuvant chemotherapy and chemoradiotherapy patients; in the upfront surgery group, it was 26 months for both adjuvant chemotherapy and chemoradiotherapy patients, 17 months for adjuvant radiotherapy patients, and 12 months for surgery-only patients. After propensity score matching, there were no differences in the distribution of clinical characteristics between groups ( P>0.05), and all patients in the matched cohort had received chemotherapy. The matched neoadjuvant therapy group had a longer median overall survival compared to the upfront surgery group (30 months vs 27 months, P<0.001). Subgroup interaction analysis revealed that T stage had a significant interaction with neoadjuvant therapy, both before (T 4 stage: HR=0.382, 95% CI: 0.319-0.458; T 2-T 3 stages: HR=0.696, 95% CI: 0.656-0.738; T 1 stage: HR=1.199, 95% CI: 0.867-1.657; interaction P<0.001) and after matching (T 4 stage: HR=0.581, 95% CI: 0.414-0.814; T 2-T 3 stages: HR=0.827, 95% CI: 0.734-0.931; T 1 stage: HR=1.320, 95% CI: 0.716-2.433; interaction P=0.043). Subgroup interaction analysis indicated that T 1 patients did not benefit from neoadjuvant therapy; survival curves plotted for matched T 1 patients showed no difference in survival between the neoadjuvant therapy group and the upfront surgery group ( P=0.323). Conversely, non-T 1 (T 2-T 4) stage patients showed significant survival benefits in both unmatched and matched cohorts ( P<0.001). Landmark analysis showing that the survival benefits occurred mainly in the early postoperative period of up to 3 years ( P<0.001), but there was no difference in overall survival between the neoadjuvant therapy group and the upfront surgery group of >3 years ( P>0.05). Patients with Arterial invasion (T 4 stage compared to T 1-T 3 stages) showed a similarly significant interaction with the benefit of neoadjuvant therapy in both the pre-matching cohort (interaction P<0.001) and the post-matching cohort (interaction P=0.037). Patients with T 4 stage disease in the neoadjuvant therapy group had longer overall survival compared to the upfront surgery group (median overall survival in pre-matching cohort: 30 months vs 13 months, P<0.001; median overall survival in post-matching cohort: 28 months vs 18 months, P=0.001). Among T 4 stage patients in the post-matching cohort, neoadjuvant therapy provided significant survival benefits during the early postoperative period of up to 3 years ( P=0.001). However, there was no difference in overall survival between the neoadjuvant therapy group and the direct surgery group beyond 3 years( P=0.729). Conclusions:The prognosis in the neoadjuvant therapy group was better than in the upfront surgery group. Propensity score matching and subgroup interaction analysis showed that non-T 1 and T 4 stage patients benefited more from neoadjuvant therapy, with benefits mainly seen in the early postoperative period (≤3 years).

ObjectiveTo investigate the content of trihalomethanes (THMs) in treated water after different water treatment processes and their correlations with premanganate index, so as to provide data support for the renovation of water production process and optimization of water quality improvement. MethodsFrom 2022 to 2023, seven centralized water supply units using raw water from Qingcaosha reservoir were selected as the testing sites, among which three units with the conventional treatment process, two units with the advanced treatment process, and two units with the advanced treatment process combined CO₂ treatment. Monthly water quality testing data were collected, focusing on testing the concentration variations of THMs, trichloromethane, dibromochloromethane, bromodichloromethane, bromoform, and permanganate index. ResultsThe comparison between conventional treatment process and advanced treatment process demonstrated that the conventional treatment process exhibited significantly higher concentrations of trihalomethanes, trichloromethane, bromodichloromethane, and permanganate index in water samples (all P<0.05). When comparing conventional treatment process with advanced treatment process combined with carbon dioxide treatment, the conventional treatment process showed significantly elevated levels of trihalomethanes, dibromochloromethane, bromodichloromethane, and permanganate index (all P<0.05). No statistically significant differences were observed in the comparison of various indicators between advanced treatment process and advanced treatment process combined with carbon dioxide treatment for any of the measured parameters (all P>0.05). Analysis of seasonal variations revealed that finished water during the high-temperature period (May to November) contained significantly higher concentrations of trihalomethanes, trichloromethane, bromodichloromethane, and tribromomethane compared to the low-temperature period (December to April of the following year) (all P<0.05). Significant positive correlations were identified between permanganate index and trihalomethanes (r=0.213, P=0.007), permanganate index and dibromochloromethane (r=0.186, P=0.019), permanganate index and bromodichloromethane (r=0.243, P=0.002), permanganate index and tribromomethane (r=0.193, P=0.014). ConclusionCompared to the conventional water treatment process, advanced treatment process and advanced treatment combined with CO₂ injection process can significantly reduce the concentrations of THMs in the treated effluent water. Besides, the generation of THMs is affected by seasonal temperatures, with higher concentrations of THMs, trichloromethane, bromodichloromethane, and bromoform being observed in the high-temperature season. Additionally, the permanganate index shows a significant positive correlation with THMs concentrations, indicating that the content of organic matter in the source of raw water contributes to the generation of THMs in the treated water.

Objective To explore the relationships of microRNA-125b(miR-125b),microR-NA-142-5p(miR-142-5p)and microRNA-140-3p(miR-140-3p)with sensitivity to programmed death receptor-1(PD-1)antibody therapy in patients with non-small cell lung cancer(NSCLC)and their clinical significance.Methods A total of 219 NSCLC patients were selected and divided into sensitive group(n=92)and non-sensitive group(n=127)based on their sensitivity to PD-1 anti-body therapy.Serum levels of miR-125b,miR-142-5p and miR-140-3p were compared between the two groups.A new combined predictor was constructed using miR-125b,miR-142-5p,and miR-140-3p through a Logistic regression model.The predictive performance was evaluated using the receiver operating characteristic(ROC)curve,and data were substituted into the equation forpredictive vali-dation.Results The serum level of miR-125b was higher in the non-sensitive group than that in the sensitive group,while the serum levels of miR-142-5pand miR-140-3p were lower in the non-sensitive group(P＜0.05).Logistic regression analysis showed that an increased level of miR-125b was an independent risk factor for sensitivity to PD-1 antibody therapy in NSCLC patients(P＜0.05),while increased levels of miR-142-5p and miR-140-3p were independent protective factors(P＜0.05).The optimal cut-off value for the combined predictor was 0.117,with a sensitivity of 90.22％,a specificity of 85.04％,and an accuracy of 87.21％.ROC curve analysis revealed that the area under the curve(AUC)for the combined predictor in predicting sensitivity to PD-1 antibod-y therapy was 0.928,which was significantly larger than the AUCs of 0.825,0.817 and 0.772 for miR-125b,miR-142-5p and miR-140-3p,respectively(P＜0.05).A new equation was obtained by transforming the original Logistic regression equation,and data from three randomly selected pa-tients were substituted into the equation for calculation,with predictive results being consistent with clinical reality.Conclusion The miR-125b,miR-142-5p and miR-140-3p are all associated with sensitivity to PD-1 antibody therapy in NSCLC patients and can serve as biomarkers for predicting sensitivity to PD-1 antibody therapy.The combined predictor based on these three microRNAs can further enhance predictive value and provide more reliable reference information for clinical treat-ment decisions.

Objectives:Coronary slow flow(CSF)has long been regarded as a marker of coronary microvascular dysfunction(CMD).This study aims to evaluate the diagnostic value of CSF for CMD in patients with angina and nonobstructive coronary arteries(ANOCA).Methods:The study data were derived from the ANOCA-CMD prospective cohort study.All enrolled patients underwent coronary angiography and concurrent coronary physiological assessments in the left anterior descending artery using pressure-wire and thermodilution techniques to obtain coronary flow reserve(CFR)and the index of microcirculatory resistance(IMR).Based on the results,CMD was classified into four subtypes:CMD with elevated IMR(IMR≥25),CMD with reduced CFR(CFR<2.5),CMD with either reduced CFR or elevated IMR(CFR<2.5 or IMR≥25),and CMD with both reduced CFR and elevated IMR(CFR<2.5 and IMR≥25).The corrected thrombolysis in myocardial infarction(TIMI)frame count(CTFC)in the left anterior descending artery was calculated from coronary angiography images,with CSF defined as CTFC>27.This study evaluated the correlation between CTFC,CFR,and IMR,and investigated the diagnostic value of CSF for CMD in ANOCA patients.Results:A total of 103 ANOCA patients were enrolled in this study,with a mean age of(64.2±10.6)years,and 53.4％were female.Among them,57 patients(55.3％)were diagnosed with coronary slow flow.Patients with slow flow had higher IMR(P<0.001)and CFR(P=0.041).Similarly,the proportion of CMD with elevated IMR was higher in the slow flow group(P<0.001),while the proportion of CMD with reduced CFR was lower(P=0.044).There was no significant difference between the groups in the proportions of CMD with either reduced CFR or elevated IMR or CMD with both reduced CFR and elevated IMR(all P>0.05).CTFC was positively correlated with hyperemic mean transit time(r=0.424,P<0.001),IMR(r=0.430,P<0.001),and CFR(r=0.211,P=0.032).The area under the curve(AUC)of CTFC for diagnosing CMD with elevated IMR was 0.721(95％CI:0.623-0.819)with an accuracy of 67％(57％,76％),for diagnosing CMD with reduced CFR was 0.610(95％CI:0.499-0.720)with an accuracy of 60％(50％,70％),for diagnosing CMD with either reduced CFR or elevated IMR was 0.549(95％CI:0.425-0.673)with an accuracy of 47％(37％,57％),and for diagnosing CMD with both reduced CFR and elevated IMR was 0.582(95％CI:0.471-0.693)with an accuracy of 47％(37％,57％).Thus,CSF demonstrated limited diagnostic values across all subtypes of CMD.Conclusions:In ANOCA patients,CSF cannot serve as an effective diagnostic marker for CMD.Therefore,in clinical practice,the slow flow phenomenon should not be directly equated with the presence of coronary microvascular dysfunction in ANOCA patients.

Objective:To analyze the clinical characteristics of tigecycline-related adverse reactions and provide the basis for the safe and rational use of the drug.Methods:Adverse reaction reports with suspected drug as tigecycline from Beijing Adverse Drug Reaction Monitoring Center from January 1st, 2019 to June 30th, 2024 were collected. The adverse reaction reports were standardized using the preferred term (PT) and system organ class (SOC) in the Chinese updated edition (2015 version) of the World Health Organization Adverse Reaction Terminology. The patients' general condition, tigecycline use, and adverse reaction occurrence (including latency, severity, treatment, outcome, and correlation evaluation) were descriptively and statistically analyzed. Results:A total of 408 tigecycline-related adverse reaction reports were entered, including 153 females (37.5%) and 255 males (62.5%). The age was (68±21) years, ranging from 2 to 99. The main reasons for tigecycline use were infections of lung, blood flow, skin and skin soft tissue, etc. The pathogens were mainly Klebsiella pneumoniae, Acinetobacter baumanii, Escherichia coli, etc. The usage and dosage of tigecycline in most patients were in line with the instructions. Four hundred and eight adverse event reports involved 11 SOCs and 580 PTs. The top 3 SOCs were gastrointestinal diseases (195 case times, 33.62%), vascular, bleeding and coagulation diseases (183 case times, 31.55%), and hepatobiliary diseases (142 case times, 24.48%). The main clinical manifestations were nausea, vomiting, diarrhea, etc. The main laboratory abnormalities were decreased plasma fibrinogen, decreased platelet count, increased alanine aminotransferase, increased aspartate aminotransferase, and increased bilirubin. There were 27 case times of adverse reactions that were not recorded in the instructions, mainly including leukopenia, abdominal distension, fever, dysbacteriosis, etc. The latency of adverse reactions ranged from 5 min to 65 days, with a median time of 5 days. The grade of adverse reactions was general in 379 patients (92.89%) and severe in 29 patients (7.11%). The top 3 SOCs involved in 53 case times of severe adverse reactions were hepatobiliary diseases (30 case times, 56.60%), vascular, bleeding and coagulation diseases (8 case times, 15.09%), and urinary tract diseases (4 case times, 7.55%), the main clinical manifestations were elevated liver enzymes, coagulation disorders, pancreatitis, etc. After the occurrence of adverse reactions, all patients stopped tigecycline, and received symptomatic treatments such as liver protection, intravenous infusion of human fibrinogen, intravenous infusion of platelets, and antidiarrheal therapy. Among 408 patients, 66 (16.18%) were cured, 297 (72.79%) were improved, 20 (4.90%) were not improved, and 25 cases' outcome (6.13%) were unknown. The shortest time for recovery or improvement was 0.5 hour, the longest was 44 days, with a median time of 5 days. The correlation between tigecycline and adverse reactions was probable in 132 patients (32.35%), and possible in 276 patients (67.65%). Conclusions:Tigecycline-related adverse reactions involve multiple organ systems, mainly including gastrointestinal diseases, vascular, bleeding and coagulation diseases, and hepatobiliary diseases, etc. which can lead to severe adverse reactions such as acute pancreatitis and coagulation disorders. After drug withdrawal and symptomatic treatments, most patients had a good prognosis.