Objective To evaluate the efficacy of Puerariae lobatae radix （PLR） and Anemarrhenae Rhizoma （AR） in preventing and treating Alzheimer’s disease （AD） and explore its potential mechanism of action by LC-MS serum metabolomics strategy. Methods The AD rat model was established by administering aluminum chloride （AlCl₃） and D-galactose （D-gal） for 20 weeks. The traditional Chinese medicine intervention group was given the PLR, AR, and PLR-AR extracts for 8 weeks by gavage. The model effect and efficacy were evaluated by Morris water maze test and biochemical indicators including SOD, NO, and MDA; Metabolomics research based on the UHPLC-Q/TOF-MS method was conducted, and relevant metabolic pathways were analyzed through the MetaboAnalyst online website. Results The learning and memory abilities of AD model rats were significantly decreased compared with the control group, and the levels of oxidative stress and lipid peroxides were significantly increased （P<0.05）, while the SOD content was decreased considerably （P<0.01）. The learning and memory abilities of AD model rats were improved, oxidative stress and lipid peroxidation levels were reversed, and serum SOD content was increased significantly after the intervention of PLR-AR, with better effects than single drugs. Through metabolomics, 70 differential metabolites were identified between the AD model group and the control group, mainly involving 10 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism, and unsaturated fatty acid biosynthesis, et.al. The intervention of PLR-AR could adjust 47 metabolites, with 20 metabolites showing significant differences （P<0.05）. The significantly adjusted metabolites involve 6 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, et al. Conclusion The combination of PLR and AR could significantly improve the learning and memory abilities of AD rat models. The mechanism may be related to the improvement of oxidative stress and lipid peroxidation levels, the increase of serum SOD content, and the regulation of phenylalanine, tyrosine, and tryptophan biosynthesis pathways.

Objective To analyze the long-term trend in the disease burden of congenital birth defects(CBDs)among neonates in China from 1990 to 2021,compare the trend with global patterns,and identify key subtypes along with their association with socioeconomic status to provide evidence for public health interventions.Methods Utilizing data from the Global Burden of Disease Study 2021(GBD 2021),we extracted indicators including disability-adjusted life years(DALYs),mortality,and prevalence for the neonatal period(＜28 days)in China,encompassing ten major CBD subtypes.Joinpoint regression analysis was employed to calculate annual percent changes and estimate annual percent changes(EAPC),with comparisons of subtype composition between 1990 and 2021.Nonlinear regression was used to assess the relationship between DALYs rates and the Socio-demographic Index(SDI).Results From 1990 to 2021,DALYs rates for neonatal CBDs declined significantly both globally and in China,with China's EAPC at-4.67％[95％CI:(—5.06,—4.28)],substantially exceeding the global average of-1.70％[95％CI:(—1.75,—1.64)].Congenital heart anomalies remained the primary burden,while neural tube defects and orofacial clefts in China showed notable reductions(EAPCs of-7.25％and-11.22％,respectively).However,DALYs rates for congenital musculoskeletal and limb anomalies exceeded global expected levels.A resurgence in the prevalence was observed post-2015,with higher burdens in males.DALYs rates exhibited a negative correlation with SDI.Conclusion China has achieved significant reductions in the neonatal CBDs burden,surpassing global trends;yet challenges persist in managing congenital heart anomalies and musculoskeletal defects.Future efforts should focus on enhancing early screening,surgical interventions,and regional equity to align with global health objectives.

Objective To establish a highly sensitive and specific method for detecting human DNA based on real time quantitative PCR(qPCR)technique for the rapid detection of potential DNA con-tamination sources in DNA laboratories.Methods Primers and probes were designed with Primer Ex-pressTM software using the reference sequence of human 18S rRNA gene as a template,and the opti-mal prime-probe combination was screened by matrix method.The PCR products of the target se-quence of human 18S rRNA gene were used to construct the plasmid,and a plasmid standard was used to draw the standard curve of the qPCR system.According to the Minimum Information for Pub-lication of Quantitative Real-time PCR Experiments(MIQE)guidelines,the specificity,sensitivity,re-peatability and application effect of the qPCR system were evaluated.Results The sensitivity of the qPCR system established in this study was 5.3×10-5 ng/μL,which showed good specificity for human DNA samples.The correlation coefficient of the qPCR system was-0.999,and amplification efficiency was 100％.Both the intra-batch and inter-batch variation coefficients were less than 2％.Conclusion The established human DNA detection method based on qPCR technique has good specificity,high sen-sitivity,and robust stability.It can be used for rapid detection of DNA contamination and daily moni-toring of the accumulated human DNA in the laboratory environment.

Primary biliary cholangitis (PBC) is a type of autoimmune liver disease characterized by chronic intrahepatic cholestasis. Although portal hypertension is a common complication in patients with cirrhotic PBC, portal hypertension and its related complications can occur in the early stage of the disease, that is, before the cirrhosis onset. Therefore, early identification and long-term management are of great significance to reduce the occurrence of portal hypertension and decompensation events and improve long-term prognosis in patients with PBC. This paper focuses on the epidemiology, pathophysiological mechanism, clinical characteristics, non-invasive diagnosis, and treatment strategies for portal hypertension in early-stage PBC patients.

Objective:To investigate the effects of ascites grading and the application of non-selective beta-blockers (NSBBs) on the 1-year prognosis of acute-on-chronic liver failure (ACLF).Methods:1 386 ascitic cases with ACLF were graded and followed up for one year. The 1-year prognostic effect of ascites grade and NSBBs was analyzed on ACLF by the Kaplan Meier Log-rank test, Cox stepwise regression, and multivariate regression.The t-test, Mann-Whitney U, or Kruskal-Wallis test were used for intergroup comparison of measurement data. The χ2 test was used for intergroup comparison of numerical data. Results:The incidence rate of ascites at admission was 77.56% in 1 386 ACLF cases. The Log-rank (Mantel-Cox) of the 1-year survival curve test for 1 386 ACLF patients with ascites grade was 21.384, P<0.01. Multivariate regression and Cox stepwise regression analysis showed that ascites grade, age, gastrointestinal bleeding, pulmonary infection, acute kidney injury, prothrombin activity (PTA), urea, MELD-Na score, and the use of NSBBs were closely related to the 1-year prognosis of ACLF. The log rank (Mantel-Cox) of NSBBs treatment in the grade 2/3 ascites group was 6.113, P=0.013, and the difference was statistically significant, suggesting that NSBBs treatment can help improve the 1-year survival rate in ACLF patients with grade 2 and 3 ascites. Conclusions:Ascites grading and the use of NSBBs affect the prognostic factor of ACLF at one year. NSBBs may be beneficial for the long-term prognosis of ACLF, and treatment can be continued in patients who have already received NSBBs prior to the onset of ACLF.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Objective:To document the effectiveness of ultrasound-guided genicular nerve block (GNB) in treating knee osteoarthritis (KOA).Methods:A total of 92 KOA patients were randomly divided into an observation group and a control group with 46 in each. Those in both groups were treated conventionally, including with non-steroidal anti-inflammatory drugs, acupuncture, ultrasound, laser irradiation and manipulation therapy. The observation group additionally underwent ultrasound-guided genicular nerve block treatment, once a week for 2 weeks. Pain scoring on a visual analog scale (VAS), the Western Ontario and McMaster University Osteoarthritis Index (WOMAC) and a 6-minute walk test (6MWT) were used to evaluate everyone before and after the treatment, and then 8 weeks later.Results:In the observation group the average VAS rating [(3.54±2.00) at week 2 and (4.13±2.04) at week 8] and the average WOMAC subscale and total scores [(36.91±16.91) at week 8] had improved significantly right after the experiment and 8 weeks later. But in the control group this was true only right after the treatment. The observation group also demonstrated superior improvements in 6MWT distance at week 2 [(434.22±125.19)m] and week 8 [(446.35±126.45)m] compared to both its own baseline and the control group.Conclusions:Ultrasound-guided genicular nerve block is a rapid, precise, effective, and long-lasting intervention for alleviating pain, improving knee function and enhancing walking endurance in KOA patients.

Objective:To investigate the feasibility of the bortezomib, lenalidomide, and dexamethasone (VRD) regimen combined with autologous hematopoietic stem cell transplantation (auto-HSCT) in patients with multiple myeloma (MM) and renal impairment, analyze treatment efficacy and renal responses stratified based on renal dysfunction severity, and explore the prognostic significance of early renal response and its affecting factors.Methods:This retrospective study, conducted at the First Affiliated Hospital of Soochow University, categorized 316 patients with newly diagnosed MM (NDMM) from August 2018 to October 2022 based on renal function for analysis of clinical characteristics, treatment response, and prognosis. Continuous variables were compared using t-tests or Mann-Whitney U tests, categorical variables utilizing Chi-square tests, survival outcomes employing Kaplan-Meier and Log-rank tests, and renal response predictors with logistic regression.Results:Patients were stratified based on baseline estimated glomerular filtration rate (eGFR) : normal [≥90 ml·min -1· (1.73 m 2) -1, n=160], mild [≥60 ml·min -1· (1.73 m 2) -1 to <90 ml·min -1· (1.73 m 2) -1, n=55], moderate [≥30 ml·min -1· (1.73 m 2) -1 to <60 ml·min -1· (1.73 m 2) -1, n=39], and severe impairment [<30 ml·min -1· (1.73 m 2) -1, n=62]. Moderate and severe renal impairment correlated with advanced International Staging System/Revised International Staging System classification, lower hemoglobin levels, frailty, and higher light-chain/IgD subtype prevalence ( P<0.05). Despite younger age ( P=0.001) and higher transplant rates ( P=0.041) in severe cases, overall response rates ( ORR: 93.7% ; ≥VGPR: 82.9% ) were comparable across groups ( P>0.05). Among 24 dialysis-dependent patients at diagnosis, 11 (45.8% ) achieved dialysis independence after induction [median: 3.0 (0.5–4.0) months], including 10 undergoing auto-HSCT. In 89 evaluable patients [baseline eGFR <50 ml·min -1· (1.73 m 2) -1], renal ORR (RORR) was 70.8% [rapid complete response: 31.5% ; rapid partial response: 11.2% ; rapid minimal response (RMR) : 28.1% ]. Renal response predicted better survival (overall survival: HR=0.36, 95% CI: 0.13–0.99, P=0.049). Moderate-to-severe renal impairment was associated with increased transplant-related adverse events and delayed engraftment ( P<0.05) ; however, auto-HSCT significantly improved outcomes after 33.5-month median follow-up (range: 2–65 months). Multivariate analysis identified 1q21+ ( OR=3.58, 95% CI: 1.17–11.02, P=0.026) and light-chain subtype ( OR=2.86, 95% CI: 1.08–7.69, P=0.036) as independent predictors of poor renal response. Conclusion:VRD regimen plus auto-HSCT demonstrates robust efficacy in NDMM, including patients with renal impairment, with a 70.8% RORR and manageable toxicity. Achieving ≥RMR correlates with superior prognosis, whereas 1q21+ and light-chain subtype independently predict inferior renal response.

Objective:To evaluate the diagnostic efficacy of B-type natriuretic peptide(BNP)combined with the Evaluation of Guidelines in Syncope Study(EGSYS)score for cardiogenic syncope(CS), and to provide evidence for rapid clinical identification of high-risk patients.Methods:We retrospectively analyzed 366 patients with syncope hospitalized in the department of cardiovascular medicine of Beijing Hospital from January 1, 2016, to December 31, 2022.Based on the international guideline diagnostic criteria, the patients were categorized into four groups: neutrally mediated reflex syncope(NMS)group, orthostatic hypotension(OH)group, cardiogenic syncope(CS)group, and syncope of unknown origin(US)group.BNP levels were measured at admission and EGSYS scores were calculated.Receiver operating characteristic(ROC)curve analysis was performed to assess the diagnostic efficacy of individual and combined indices for CS.Results:A total of 366 syncope patients were included, among which 70 patients(19.1%)were diagnosed with NMS, 25 patients(6.8%)with OH, 44 patients(12.0%)with CS, and 227 patients(62.0%)with US.Patients in the CS group had significantly higher BNP levels and EGSYS scores compared to those in the NMS, OH, and US groups(all P<0.001). The AUC of EGSYS score for diagnosing CS was 0.783(95% CI: 0.711-0.855), while the AUC of BNP level for diagnosing CS was 0.805(95% CI: 0.727-0.884). When BNP level was combined with EGSYS score, diagnostic performance was significantly improved, with the AUC increasing to 0.855(95% CI: 0.792-0.918). Conclusions:The combination of BNP and EGSYS score significantly can improve the diagnostic accuracy of cardiogenic syncope, providing a practical diagnostic strategy for the early identification of high-risk syncope patients in clinical practice.

Objective To develop and validate a machine learning-based predictive model to assess the in-hospital mortality risk of patients with myocardial infarction(MI)complicated by heart failure(HF)undergoing percutaneous coronary intervention(PCI).Methods This retrospective study analyzed MI patients with HF who underwent PCI at The First Affiliated Hospital of Xinjiang Medical University from January 2019 to January 2023.Patient data,including demographic characteristics,vital signs,laboratory test results,imaging parameters and medication use,were collected and randomly divided into a training set(70％)and a validation set(30％).The extreme gradient boosting(XGBoost)model was used to identify variables significantly associated with in-hospital mortality,and the Shapley additive explanations(SHAP)model was applied to assess feature importance.A predictive model was then constructed using univariate and multivariate Logistic regression analyses.Model performance was evaluated using receiver operating characteristic(ROC)curves,area under the curve(AUC)values,calibration curves,and decision curve analysis.Finally,a nomogram was developed for intuitive risk assessment.Results A total of 1 214 MI patients with HF were included in the study,with a median age of 64 years.The in-hospital mortality rate was 7.41％(90 deaths).XGBoost feature selection identified ten key predictive variables:age,myoglobin,albumin,fasting blood glucose,N-terminal pro-B-type natriuretic peptide(NT-proBNP),diabetes mellitus,creatinine,cystatin C,procalcitonin,and left ventricular ejection fraction.Based on these variables,a Logistic regression model was developed,with seven final predictors:age,diabetes mellitus,creatinine,fasting blood glucose,cystatin C,NT-proBNP,and albumin.The model demonstrated high predictive accuracy,with AUC value of 0.869(95％CI:0.84-0.89)in the training set and 0.827(95％CI:0.79-0.85)in the validation set.The calibration curve indicated that the predicted probabilities were consistent with the actual observed outcomes,and decision curve analysis showed that the model had a high net benefit across various decision thresholds.Conclusion This study developed a machine learning-based predictive model incorporating Logistic regression to assess the in-hospital mortality risk of MI patients with HF undergoing PCI.The model demonstrated high predictive performance and clinical utility.The nomogram derived from this model provides an intuitive tool for individualized risk assessment,aiding clinicians in the early identification of high-risk patients,optimizing intervention strategies,and improving patient outcomes.