Objective:Based on multivariate analysis of the influencing factors of fecal pollution after radical re-section in children with congenital megacolon,a risk prediction model was constructed and evaluated.Methods:A total of 200 children with Hirschsprung's disease who underwent radical surgery at Nanyang Central Hospital of Henan Province from June 2020 to June 2023 were selected,and all children were followed up for 1 year.According to the occurrence of postoperative fecal incontinence,the children were divided into the non-occurrence group and the oc-currence group.Univariate Logistic regression analysis was performed on all possible influencing factors,and the back-ward stepwise regression method was used to screen out the relevant factors affecting postoperative fecal inconti-nence in children with Hirschsprung's disease after radical surgery.A risk prediction model was constructed based on these relevant factors,and its efficacy was verified using calibration curves,the Hosmer-Lemeshow test,and ROC curves.Results:Postoperative fecal incontinence occurred in 19.50%(39/200)of the children.A statistically signifi-cant difference was observed between the non-occurrence group and the occurrence group in terms of the following data(P＜0.05):age,preoperative nutritional support,need for auxiliary defecation before surgery,length of the dis-eased intestinal segment,educational level of caregivers,preoperative hypoproteinemia,resection range,postoperative diet compliance of the children,postoperative defecation training of the children,postoperative enterocolitis,and post-operative anal dilatation therapy.Multivariate Logistic regression analysis showed that preoperative nutritional support,need for auxiliary defecation before surgery,length of the diseased intestinal segment,educational level of caregivers,postoperative diet compliance of the children,postoperative defecation training of the children,postoperative entero-colitis,and postoperative anal dilatation therapy were all independent influencing factors for postoperative fecal inconti-nence in children with Hirschsprung's Disease after radical surgery(P＜0.05).Among these factors,the educational level of caregivers was the strongest predictor of postoperative fecal incontinence in children with Hirschsprung's dis-ease after radical surgery.Results of the calibration curve showed that the concordance index of the risk prediction model for postoperative fecal incontinence in children with Hirschsprung's Disease after radical surgery was 0.837.The Hosmer-Lemeshow test results indicated no statistically significant difference between the predicted values and the actual values of risk prediction(P＜0.05),suggesting that the model had a good fit and high prediction accuracy.Re-sults of the ROC curve showed that the area under the curve(AUC)of the risk prediction model for predicting postop-erative fecal incontinence in children with Hirschsprung's Disease after radical surgery was 0.887(95%CI:0.762～1.000,P＜0.05),with a sensitivity of 0.914,a specificity of 0.763,and a Youden index of 0.677.These findings indicate that the risk prediction model has moderate discriminative ability and good predictive performance.Conclusion:Preop-erative nutritional support,need for auxiliary defecation before surgery,length of the diseased intestinal segment,edu-cational level of caregivers,postoperative diet compliance of children,postoperative defecation training of children,postoperative enterocolitis,and postoperative anal dilatation therapy are all independent influencing factors for postop-erative fecal incontinence in children with Hirschsprung's disease after radical surgery.The risk prediction model for postoperative fecal incontinence in children with Hirschsprung's disease after radical surgery,established based on multivariate analysis,is helpful for early identification of high-risk groups and timely implementation of individualized in-tervention measures.

Objective:To develop a rapid assessment scale for healthy aging suitable for the Chinese population.Methods:Based on existing healthy aging assessment scales, national standards, and expert consensus, an initial Healthy Aging Rapid Assessment Scale was drafted through two rounds of expert consultation. A pre-survey was conducted with 3 220 subjects recruited from Guangzhou between July 2023 and July 2024. Items were screened through item analysis and exploratory factor analysis to form the final scale. Reliability and validity of the final scale were validated across five cities: Guangzhou, Dongguan, Shenzhen, Baoding, and Chuxiong.Results:The initial version comprised 36 items, while the finalized scale contained 18 items across three dimensions: metabolic health, mental health, and cognitive health. Test-retest reliability ranged from 0.71 to 0.81 across all study sites. The Spearman-Brown coefficient varied between 0.91-0.96, Cronbach′s α between 0.77-0.83, comparative fit index (CFI) between 0.90-0.98, goodness-of-fit index (GFI) between 0.90-0.99, and root-mean-square error of approximation (RMSEA) between 0.03-0.09. For the three dimensions, reliability and validity metrics demonstrated consistency: Spearman-Brown coefficients 0.87-0.99, Cronbach′s α 0.77-0.83, CFI 0.90-0.98, GFI 0.90-0.99, and RMSEA 0.03-0.09 across four regions.Conclusion:The developed Healthy Aging Rapid Assessment Scale for the Chinese population exhibits robust reliability and validity.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To investigate the correlation between serum uric acid(SUA)levels and incident chronic kidney disease(CKD)in middle-aged and elderly Chinese population and gender differences.Methods Based on the longitudinal survey data of China Health and Retirement Longitudinal Study from 2011 to 2015,the CKD-Epidemiology Collaboration cystatin C formula was used to estimate the glomerular filtration rate(eGFR),and 4 119 participants with normal renal function(eGFR≥60 mL·min-1·1.72 m-2)at baseline were included.Incident CKD was defined as eGFR<60 mL·min-1·1.72 m-2 at the follow-up in 2015.Logistic regression analysis was used to analysis the association of SUA levels at baseline and incident CKD among different genders.Restricted cubic spline analysis was used to analyze the dose-response relationship.Results After 4-year follow-up,127 participants developed incident CKD,including 57 males and 70 females.Multivariate Logistic regression analysis showed that elevated SUA levels were independently associated with the risk of incident CKD(OR=1.532,P<0.001).For each 1 mg/dL increase in SUA,the risk of incident CKD increased by 33.6%in males(OR=1.336,P=0.012)and 77.5%in females(OR=1.755,P<0.001).Restricted cubic spline analysis showed a linear positive correlation between SUA levels and incident CKD in both males and females.Participants were divided into four groups according to SUA quartiles(Q1-Q4).Multivariate Logistic regression analysis indicated a significant increase in the risk of incident CKD in Q3 group(3.75 mg/dL4.43 mg/dL)compared with Q1 group in females(Q3 group:OR=2.571,P=0.045;Q4 group:OR=3.666,P=0.005).Conclusion SUA is an independent risk factor for incident CKD in the middle-aged and elderly population.In females,serum uric acid levels exceeding 3.75 mg/dL are associated with an increased risk of incident CKD.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

Objective:To explore the value of serum P-selectin,Interleukin-18(IL-18),and Homocysteine(Hcy)levels in predicting the adverse outcomes of interventional therapy in elderly patients with deep vein thrombosis(DVT)in the lower extremities.Methods:A total of 165 elderly patients with DVT from January 2020 to August 2023 were se-lected.All patients underwent transcatheter intervention thrombolysis therapy.Patients were divided into good outcome group and poor outcome group according to the clinical treatment outcome.Serum P-selectin,IL-18,and Hcy levels were compared between the two groups.The correlation between serum P-selectin,IL-18,and Hcy levels and disease indicators,as well as the outcomes of interventional therapy was analyzed.The predictive value of serum P-selectin,IL-18,and Hcy levels for the outcomes of interventional therapy was evaluated.Results:The total effective rate of catheter-based interventional thrombolysis in 165 patients was 81.82%(135/165).The patients with good outcomes were included in the good outcome group,and the patients with poor outcomes were included in the poor outcome group.The difference in circumference between the affected side and the healthy side of the thigh and the difference in circumference between the affected side and the healthy side of the calf in the poor outcome group were greater than those in the good outcome group(P<0.05).The levels of serum P-selectin,IL-18,and Hcy in the poor outcome group were higher than those in the good outcome group(P<0.05).The levels of serum P-selectin,IL-18,and Hcy were posi-tively correlated with the difference in circumference between the affected and healthy thighs and the difference in cir-cumference between the affected and healthy calves,and negatively correlated with the outcome of interventional therapy(P<0.05).Before and after correcting other factors,serum P-selectin,IL-18,and Hcy were all independent risk factors for the outcome of interventional therapy in elderly patients with DVT(P<0.05).The area under the curve(AUC)of serum P-selectin,IL-18,and Hcy for predicting the outcome of interventional therapy for elderly DVT was 0.789(95%CI:0.718-0.848),0.812(95%CI:0.744-0.868),and 0.792(95%CI:0.722-0.851),respectively.The cutoff values were 44.21 ng/mL,185.73 ng/L,and 23.60 μmol/L,with sensitivities of 70.00%,70.00%,and 80.00%,and specificities of 82.22%,82.96%,and 68.15%,respectively.The AUC of the combined prediction of the outcomes of interventional therapy for elderly DVT was 0.935(95%CI:0.886-0.967),with a cutoff value of 44.08 ng/mL,185.16 ng/L,and 23.37 μmol/L for the three variables,with a sensitivity of 86.67%and a specificity of 88.15%.This was significantly better than the individual prediction values of the three variables(Z=5.817,4.753,5.206,all P<0.001).Conclusion:Serum P-selectin,IL-18,and Hcy are significantly correlated with disease indicators and interventional treatment outcomes in el-derly patients with DVT,and can effectively predict the outcome of interventional treatment,with a high combined pre-dictive value.

Objective To explore the clinical characteristics of patients with diffuse large B-cell lymphoma (DLBCL) accompanied with KMT2D gene mutation and the impact of its co-mutated genes on prognosis. Methods Clinical data of 155 newly diagnosed DLBCL patients were obtained. The second-generation sequencing method was used to detect 475 hotspot genes, including KMT2D mutation. Patients were divided into the KMT2D mutation group and KMT2D wild-type group based on the presence or absence of KMT2D gene mutation. Clinical characteristics, differences in co-mutated genes, and survival differences between the two groups were compared. Results The frequency of KMT2D mutation was 31%, which is predominantly observed in elderly patients (P=0.07) and less in the double-expressor phenotype (P=0.07). Compared with the KMT2D wild-type group, KMT2D gene mutation was associated with higher co-mutation rates of CDKN2A (OR=2.82, P=0.01) and BCL2 (OR=3.84, P=0.016), while being mutually exclusive with MYC gene mutation (OR=0.11, P=0.013). In univariate survival analysis, no statistically significant difference in overall survival (OS) was found between the KMT2D mutation group and the wild-type group (P=0.54). Further analysis of the prognostic significance of KMT2D with other gene mutations indicated that patients with KMT2D^mutBTG2^mut had poorer OS than those with KMT2D^wt BTG2^mut (P=0.07) and KMT2D^wt BTG2^wt (P=0.05). On the contrary, patients with KMT2D^mut CD79B^mut had better OS than those with KMT2D^mut CD79B^wt (P=0.09), with no prognostic impact observed for other co-mutated genes. Multivariate Cox regression analysis revealed that Ann Arbor stages Ⅲ and Ⅳ (HR=2.751, 95%CI: 1.169-6.472, P=0.02), elevated LDH levels (HR=2.461, 95%CI: 1.396-4.337, P=0.002), Ki-67 index>80% (HR=1.875, 95%CI: 1.066-3.299, P=0.029), and KMT2D^mutBTG2^mut(HR=4.566, 95%CI: 1.348-15.471, P=0.015) were independent risk factors for OS in patients with DLBCL (P<0.05). Conclusion DLBCL patients with KMT2D mutation often have multiple gene mutations, among which patients with a co-mutated BTG2 gene have poor prognosis.

Aim To investigate the effects of rosavin on hepatocellular steatosis and its mechanism of action.Methods AML-12 and HepG2 cells were induced to undergo hepatocellular steatosis by free fatty acids(FFA),and the optimal inducing concentration was determined by oil red O staining and CCK-8 assay.The cell activity was detected by CCK-8 assay after ro-savin treatment,and the lipid droplet accumulation was observed by oil red O staining.The levels of triglycer-ide(TG),total cholesterol(TC),glutamic oxalacetic transaminase(AST),glutamic pyruvic transaminase(ALT),superoxide dismutase(SOD),glutathione per-oxidase(GSH-Px),and malondialdehyde(MDA)were detected by kits.The potential targets of rosavin in non-alcoholic fatty liver disease(NAFLD)were ana-lyzedby network pharmacology and molecular docking,and the expression of core candidate targets before and after the rosavin intervention was detected by real-time fluorescence quantitative PCR.Results Hepatocyte steatosis was induced by FFA,and the intervention of rosavin(25,50 μmol·L-1)reduced the number of intracellular lipid droplets in hepatocytes in a dose-de-pendent manner,also lowered the cellular levels of TG,TC,AST,ALT,elevated the levels of SOD and GSH-Px,and reduced the levels of MDA.Network pharma-cological analysis and molecular docking yielded five core candidate targets:NOS3,MAPK14,PPARG,TNF-α,and IGF-1,and real-time fluorescence quantitative PCR showed that the action of loxavir significantly re-duced the gene expression of TNF-α and PPARG in hepatocytes after FFA induction.Conclusions Rosa-vin can attenuate the inflammatory response,oxidative stress level,and lipid accumulation in hepatocytes by modulating TNF-α and PPARG,thereby ameliorating FFA-induced hepatocellular steatosis.

Because of the unclear active substances, metabolic pathways, and targets of new drugs of traditional Chinese medicine(TCM), non-clinical safety evaluation often fails to accurately locate the target organs and tissue exposed to medicinal toxicity. The human use experience(HUE) contains important safety information of TCM, while the clinical safety data in the past HUE are few and have not been effectively applied. Standardized prospective HUE studies should be carried out to collect the clinical safety data, in which appropriate physical and chemical indicators(including blood, urine, and stool routine), liver biochemical indicators, kidney biochemical indicators, and cardiovascular biochemical indicators should be selected for safety evaluation, and the detection time point and sample size should be rationally designed. Importance should be attached to the observation of symptoms and signs of adverse events/reactions in patients as well as the safety information of special groups such as the elderly, children, and pregnant women. The adverse events of TCM should be observed, judged, and treated according to the theory and the diagnosis and treatment mode of TCM. The clinical safety information about the HUE should be comprehensively collected for new drugs of TCM to make up for the lack of extrapolation of toxicological test results to humans. The unique advantages of clinical origin of new drugs of TCM should be given full play for cross-reference of the results of toxicological research and the conclusions of HUE safety evaluation. In addition, benefit-risk assessment should be conducted based on HUE, and a panoramic safety evaluation system characterized by macro and micro combination and in line with the characteristics of TCM should be established to improve the success rate in the research and development of new drugs of TCM.
Humans ; Drugs, Chinese Herbal/adverse effects* ; Medicine, Chinese Traditional/adverse effects* ; Drug-Related Side Effects and Adverse Reactions ; Female

This study explored the potential therapeutic targets and mechanisms of Danggui Shaoyao San(DSS) in the prevention and treatment of Alzheimer's disease(AD) through transcriptomics and metabolomics, combined with animal experiments. Fifty male C57BL/6J mice, aged seven weeks, were randomly divided into the following five groups: control, model, positive drug, low-dose DSS, and high-dose DSS groups. After the intervention, the Morris water maze was used to assess learning and memory abilities of mice, and Nissl staining and hematoxylin-eosin(HE) staining were performed to observe pathological changes in the hippocampal tissue. Transcriptomics and metabolomics were employed to sequence brain tissue and identify differential metabolites, analyzing key genes and metabolites related to disease progression. Reverse transcription-quantitative polymerase chain reaction(RT-qPCR) was employed to validate the expression of key genes. The Morris water maze results indicated that DSS significantly improved learning and cognitive function in scopolamine(SCOP)-induced model mice, with the high-dose DSS group showing the best results. Pathological staining showed that DSS effectively reduced hippocampal neuronal damage, increased Nissl body numbers, and reduced nuclear pyknosis and neuronal loss. Transcriptomics identified seven key genes, including neurexin 1(Nrxn1) and sodium voltage-gated channel α subunit 1(Scn1a), and metabolomics revealed 113 differential metabolites, all of which were closely associated with synaptic function, oxidative stress, and metabolic regulation. RT-qPCR experiments confirmed that the expression of these seven key genes was consistent with the transcriptomics results. This study suggests that DSS significantly improves learning and memory in SCOP model mice and alleviates hippocampal neuronal pathological damage. The mechanisms likely involve the modulation of synaptic function, reduction of oxidative stress, and metabolic balance, with these seven key genes serving as important targets for DSS in the treatment of AD.
Animals ; Alzheimer Disease/genetics* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Mice, Inbred C57BL ; Metabolomics ; Transcriptome/drug effects* ; Maze Learning/drug effects* ; Hippocampus/metabolism* ; Humans ; Disease Models, Animal ; Memory/drug effects*