Objective: To explore the association between the HLA antibody positivity rate in female blood donors and pregnancy history, number of pregnancies, interval from the last pregnancy to blood donation, and age, to identify associated variables using a univariate generalized additive model (GAM), and to further analyze the predictive role of characteristic variables for HLA antibody positivity using a random forest model. Methods: HLA antibody detection was performed on 391 female blood donors using the Luminex immunomagnetic bead method. The correlation between pregnancy-related factors and HLA antibodies was analyzed using the Chi-square test. Based on R software, a univariate GAM was first constructed to analyze the association types between characteristic variables and the HLA antibody positivity rate, followed by the construction of a random forest model to evaluate the predictive value of the variables. Results: Among the 391 female blood donors without a transfusion history, the overall HLA antibody positivity rate was 26.34%. The positivity rate in donors with a pregnancy history was significantly higher than that in those without (30.09% vs 9.72%, P<0.05), and HLA antibody positivity rate increased linearly with the number of pregnancies (P<0.05). In the univariate GAM, age and number of deliveries exhibited a non-linear association with the HLA antibody positivity rate (the positivity rate increased sharply between 25-35 years of age and stabilized after 3 deliveries). Besides, the interval from the last pregnancy to blood donation showed a linear association with the HLA antibody positivity rate, and the positivity rate decreased as the interval prolonged (P<0.05). In the random forest model, age (mean decrease gini=29.26) and interval from the last pregnancy to blood donation (mean decrease gini=22.02) were core predictive variables: age was more conducive to identifying positive samples, while the interval from the last pregnancy to blood donation was more helpful for excluding negative samples. The number of deliveries (mean decrease accuracy=16.98) made a significant contribution to predicting positive samples, whereas the number of abortions had no impact. The model had an AUC of 0.583 (95% CI: 0.593 8-0.770 2), indicating a certain predictive value. Conclusion: The associated variables identified by the univariate GAM model, including age, interval from the last pregnancy to blood donation, and number of deliveries, provide a basis for key variables in the random forest model. All three variables have predictive value for HLA antibody positivity, which can provide evidence-based support for personalized transfusion management and stratified screening of female blood donors in this region.

Multiple sclerosis(MS)is a complex autoimmune disorder characterized by inflammatory demyelination in the central nervous system.Prominent symptoms include damage to myelin sheaths in the brain,optic nerve,and spinal cord,as well as axonal dysfunction;however,the exact causes and mechanisms of MS remain unclear.Genetic and environmental factors are thought to interact via autoimmune mechanisms,potentially triggering the disease.Recent studies suggest that abnormal activation of the NOD-like receptor thermal protein domain associated protein 3(NLRP3)inflammasome may play a critical role in the pathogenesis of MS.In this context,this review summarizes the molecular mechanisms underlying NLRP3 activation and its connection to MS,considering relevant literature from the past decade.The findings aim to provide insights into the progression of MS and to identify potential therapeutic strategies by elucidating the underlying mechanisms.

Multiple sclerosis(MS)is a complex autoimmune disorder characterized by inflammatory demyelination in the central nervous system.Prominent symptoms include damage to myelin sheaths in the brain,optic nerve,and spinal cord,as well as axonal dysfunction;however,the exact causes and mechanisms of MS remain unclear.Genetic and environmental factors are thought to interact via autoimmune mechanisms,potentially triggering the disease.Recent studies suggest that abnormal activation of the NOD-like receptor thermal protein domain associated protein 3(NLRP3)inflammasome may play a critical role in the pathogenesis of MS.In this context,this review summarizes the molecular mechanisms underlying NLRP3 activation and its connection to MS,considering relevant literature from the past decade.The findings aim to provide insights into the progression of MS and to identify potential therapeutic strategies by elucidating the underlying mechanisms.

Objective To investigate the infection with key intestinal parasites in the Jinuo-inhabited areas of Yunnan Province in 2023 and provide a scientific basis for preventing and controlling local parasitic diseases.Methods A cluster random sampling method was used to conduct a survey on human intestinal parasitic diseases in Jinuoshan Township,Jinghong City,Xishuangbanna Dai Autonomous Prefecture,Yunnan Province,from October to November 2023.Fecal samples and information on epidemiological factors were collected from permanent residents of the Jinuo ethnic group.Intestinal helminth eggs were detected and counted using the modified Kato-Katz technique(two slides per fecal sample).Intestinal protozoa were identified via iodine-stained smears.Each fecal sample was subjected to hookworm larval culture using the test tube filter paper method for species identification.Additionally,transparent adhesive tape anal swabs were used to detect Enterobius vermicularis eggs in children aged 3-9 years.Results A total of 1 367 individuals was examined,with 11 species of parasites detected,including 5 helminth species and 6 protozoan species.The overall intestinal parasite infection rate was 25.97%,with helminth and protozoan infection rates at 17.63%and 9.07%,respectively.The infection rate of E.vermicularis in children(via anal swabs)was 16.35%.The infection rates of specific parasites were as follows:Ascaris lumbricoides 0.07%,hookworm 13.97%,Trichuris sp.0.29%,Taenia solium 0.15%,Entamoeba nana 1.68%,Giardia lamblia 1.61%,Entamoeba histolytica 0.07%,Entamoeba coli 0.07%,Iodamolbe butschlii 1.61%,and Blastocystis hominis 4.10%.The degree of Acaris lumbricoides,hookworm,and Trichuris sp.infection was mainly mild.Hookworm species were identified as Necator americanus and Ancylostoma duodenale.No statistically significant differences in infection rates were observed across different village committees,genders,age groups,or occupations(P＞0.05).The infection rates of preschool children and illiterate people were higher at 82.61%and 67.02%,respectively(χ2=344.798,P＜0.01).The infection rate of the Jinuo people was 32.49%,which is higher than that of other ethnic groups(χ2=109.493,P＜0.01).Conclusions The prevalence of intestinal parasitic infections among the Jinuo ethnic group in Yunnan Province remains relatively high.Strengthened prevention and control measures targeting relevant populations are urgently needed,with a particular focus on hookworm infections and E.vermicularis infections in children.

Objective To analyze the monitoring of healthcare-associated infection(HAI)in the intensive care unit(ICU)over the past 12 years based on Joinpoint regression model,and evaluate the trend changes and relevant fac-tors of HAI incidence.Methods ICU patients in a tertiary first-class hospital from January 2012 to December 2023 were selected and performed prospective monitoring.Trend changes of HAI incidence and the correlation with con-sumption of hand hygiene products as well as HAI management measures were analyzed.Results From 2012 to 2023,6 929 ICU patients were included in the monitoring,543 patients had 655 episodes of HAI,with incidence and case incidence of HAI being 7.84％ and 9.45％,respectively.The average severity of the disease was 3.62,and the adjusted HAI incidence was 2.17％.The daily incidence of ventilator-associated pneumonia(VAP),cathe-ter-associated urinary tract infection(CAUTI),and central line-associated bloodstream infection(CLABSI)were 6.19‰,3.45‰,and 1.23‰,respectively.The consumption of hand hygiene products was 122.98 mL/bed-day.The compliance rate and correct rate of hand hygiene were 90.63％and 90.46％,respectively.From 2012 to 2023,incidence of HAI(51.29％vs 4.39％),case incidence of HAI(72.41％vs 4.94％),the adjusted incidence of HAI(15.98％vs 1.04％),daily incidence of VAP(22.50‰ vs 4.33‰),daily incidence of CAUTI(14.23‰ vs 1.64‰),and daily incidence of CLABSI(10.60‰ vs 0.20‰)all decreased significantly(all P＜0.05).Both con-sumption of hand hygiene products(75.16 mL/bed-day vs 147.35 mL/bed-day)and correct rate of hand hygiene(85.00％vs 90.28％)increased significantly(both P＜0.05).A total of 1 946 pathogens were detected,with an increase in the proportion of Staphylococcus aureus(1.30％ vs 9.57％)and a decrease in the proportion of fungi(11.04％vs 1.74％).The daily consumption of hand hygiene products negatively correlated with the incidence of HAI,the case incidence of HAI,as well as the daily incidence of CAUTI and CLABSI(all P＜0.05).Incorpora-ting HAI real-time monitoring system and HAI management into performance assessment could decrease HAI-rela-ted incidence(P＜0.05).Conclusion HAI-related incidence presents a downward trend.Scientific and comprehen-sive HAI prevention and control management measures such as healthcare workers'hand hygiene management,on-line HAI real-time monitoring system,and incorporating HAI management into performance assessment can de-crease HAI-related incidence and promote the improvement of medical quality.

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 evaluate the safety and complications of external cephalic version(ECV)for term breech presentation and to explore factors influencing the occurrence of ECV-related complications.Methods:Pregnant women with term breech presentation who underwent ECV(ECV group,n=751)and those who under-went direct cesarean section(CS)without ECV(CS group,n=706)at Guangzhou Women and Children's Medi-cal Center of Guangzhou Medical University,from January 1,2018,to July 31,2024,were enrolled.Differences in maternal clinical characteristics and neonatal outcomes were compared between the two groups.The ECV group was further divided into a successful ECV subgroup(n=537)and a failed ECV subgroup(n=214)to compare complication rates.Based on the presence or absence of complications,the ECV group was divided into a compli-cation subgroup(n=86)and a no-complication subgroup(n=665).Univariate analysis was performed on the clinical data of these subgroups.Statistically significant factors identified in the univariate analysis were subse-quently included in a multivariate Logistic regression analysis to identify high-risk factors for ECV complications.Results:①Among the 751 women undergoing ECV,the success rate was 71.50％(537/751).The vaginal deliv-ery rate following successful ECV was 57.26％(430/751).The overall complication rate was 11.45％(86/751),with a perinatal mortality rate of 0.13％(1/751).②There were no significant differences with regard to severe neonatal asphyxia and neonatal intensive care admission rate between ECV group and CS group(P＞0.05).③The total complication rate,incidence of cesarean delivery(CS)within 24 h,and incidence of uterine contrac-tions were significantly higher in the failed ECV group compared to the successful ECV group(P＜0.05).Howev-er,there was no statistically significant difference in the incidence of severe complications(fetal demise,placental abruption,emergency CS)between the two groups(P＞0.05).④Univariate and multivariate Logistic regression analyses revealed that three factors were associated with a reduced risk of ECV complications(P＜0.05):a high-er amniotic fluid index(AFI),non-engagement of the presenting part,and a palpable fetal head.Conversely,the use of anesthesia and the use of nifedipine as the tocolytic were associated with an increased risk of ECV compli-cations(P＜0.05).Conclusions:ECV does not increase the adverse outcomes of full-term neonates with breech presentation.But failed ECV can increase complications.Higher amniotic fluid index,not engaged of fetal presen-tation,touchable of fetal head and appropriate tocolytic agent application can reduce the complications while anes-thesia during ECV procedure can increase the complications of ECV.

OBJECTIVE To analyze the differences in chemical composition of mussels from Shengsi,Zhoushan in different har-vest months,and to compare the differences in the composition of mussels from different origins,so as to provide ideas for the compre-hensive utilization of its resources.METHODS Ultra-high performance liquid chromatography-triple quadrupole mass spectrometry(UHPLC-QqQ-MS)and spectrophotometry were used to analyze and evaluate the contents of nucleosides,amino acids,water-soluble proteins,total sugars and polysaccharides in mussels from Shengsi,Zhoushan in 12 months of the year and from 5 different origins;principal component analysis(PCA),partial least squares discriminant method(PLS-DA)and TOPSIS method were used to compre-hensively evaluate mussels.RESULTS A total of 16 amino acids and 11 nucleosides were detected in mussels.The average content of total amino acids in Shengsi mussels throughout the year was 4 851.74 μg·g-1,the average content of total nucleosides was 921.40 μg·g-1,and the average contents of water-soluble protein,polysaccharides,and total sugars were 51.32 mg·g-1,74.39 μg·g-1,and 417.22 mg·g-1,respectively.The nucleosides of Shengsi mussels were the highest in March and April,the ami-no acids and water-soluble proteins were the highest in April and May,and the polysaccharides and total sugars were the highest in Oc-tober and November.The PCA and PLS-DA results of the chemical components of different resources showed that there were great differences in Shengsi mussel samples harvested in different seasons.The entropy weight TOPSIS analysis showed that the comprehen-sive scores of Shengsi mussels in March and April(S7 and S8)were better than those in other areas,and the comprehensive score of Shengsi mussels in April(S8)was the highest,which was determined to be the best harvesting month.CONCLUSION The comparison results of multi-type resource chemistry show that there are great differences in the chemical compo-sition of Shengsi mussels in different harvesting seasons;the quality of Shengsi mussels is better than that of other areas;April is the best harvesting season,providing a reference for the quality evaluation and comprehensive development and utilization of mussels.

Objective:To investigate the effect of dulagopeptide on physical examination indexes,plasma glucose metabolism and islet function in type 2 diabetes mellitus(T2DM)patients with poorly controlled plasma glucose.Methods:135 T2DM patients with poorly controlled plasma glucose who were admitted in our hospital from January 2023 to July 2024 were selected.A prospective randomized controlled design was adopted,they were divided into control group 1(received treatment with sitagliptin,n=45),control group 2(received treatment with insulin glargine,n=45),and observation group(received treatment with dulaglutide,n=45)according to the random number table method.Physical examination indexes,plasma glucose indicators,islet function,and incidence of adverse reactions were compared among the three groups.Results:12 weeks after treatment,body mass index(BMI),waist circumference,fasting plasma glucose(FPG),glycated hemoglobin(HbA1c),and postprandial 2-hour plasma glucose(2hPG)in the observation group were lower than those in control group 1 and control group 2(P＜0.05).12 weeks after treatment,the observation group had the highest HbA1c compliance rate,reaching 71.1％(P＜0.05).12 weeks after treatment,the fasting C-peptide(FC-P)and HOMA-islet(CP-DM)levels in the observation group were higher than those in control group 1 and control group 2(P＜0.05).Conclusion:Dulagopeptide can effectively improve physical examination indexes,plasma glucose indicators,and islet function in T2DM patients with poorly controlled plasma glucose.

Objective To develop a predictive model for guiding blood transfusion decisions in pediatric patients with traumatic brain injury(TBI)by identifying and analyzing key factors that influence blood transfusion requirements.Methods A retrospective analysis was conducted on the clinical data of 1,535 pediatric patients with TBI admitted to four medical institutions from January 1,2015,to December 31,2022.Patients were divided into two groups:those who received red blood cell transfusions during hospitalization and those who did not.Comparative analyses were performed on demographic,clinical,and laboratory data between these two groups.Logistic regression analysis was used to identify risk factors associated with in-hospital blood transfusion,and a predictive model was developed using a nomogram.The performance of this model was evaluated using a receiver operating characteristic(ROC)curve.Results Significant differences were observed between the blood transfusion and non-blood transfusion groups in terms of baseline demographics,clinical indicators,and laboratory test results(all P<0.05).Patients in the blood transfusion group exhibited significantly higher in-hospital mortality,compli-cation rates,use of mechanical ventilation,ICU admission rates,and length of stay compared to those in the non-blood transfusion group(all P<0.05).Multivariate logistic regression analysis identified heart rate,presence of other fractures,treatment methods,hemoglobin(Hb),platelet count(Plt),activated partial thromboplastin time(APTT),and D-dimer levels as independent risk factors for blood transfusion in TBI patients.The area under the ROC curve for the blood transfusion prediction model,based on these independent risk factors,was 0.95(95%CI:0.94～0.97),indicating excellent predictive accuracy.Calibration and decision curves further validated the robust-ness and reliability of the model's predictive capacity.Conclusions Heart rate,presence of other fractures,treatment methods,Hb,Plt count,APTT,and D-dimer levels serve as independent risk factors for blood transfusion in TBI patients.The prediction model developed based on these factors demonstrates excellent predictive performance,thereby guiding clinicians in making informed blood transfusion decisions and enhancing the success rate of patient outcomes.