Objective: To systematically evaluate the influencing factors for autism spectrum disorder (ASD) in Chinese children, so as to provide the evidence for risk prediction and intervention of ASD. Methods: The publications pertaining to the influencing factors for ASD in Chinese children were retrieved from CNKI, Wanfang Data, VIP, PubMed and Embase database from inception to August 2024. A meta-analysis was performed using R package version 4.4.1. Sensitivity analysis was performed using the "leave-one-out" evaluation procedure. Publication bias was assessed using Egger regression test. Results: A total of 38 high-quality articles out of 9 015 articles were finally included, covering 149 607 individuals, with 5 974 cases of ASD. The meta-analysis showed that demographic factors including family history of related diseases (OR=14.958), maternal age of ≥35 years (OR=2.287) and parental history of hazardous occupations (OR=3.511); pregnancy-related factors including history of abortion (OR=5.832), no folate supplementation before and during pregnancy (OR=4.566), tobacco exposure before and during pregnancy (OR=2.596), history of other adverse exposures before and during pregnancy (OR=3.533), history of infectious diseases during pregnancy (OR=3.753), history of non-infectious diseases during pregnancy (OR=2.563), psychological problems during pregnancy (OR=3.864), history of medication during pregnancy (OR=6.651), adverse environmental exposures during pregnancy (OR=3.754), severe pregnancy reactions (OR=5.082), abnormal perinatal period (OR=2.987), cesarean delivery (OR=1.659), other perinatal adverse factors (OR=3.856), history of neonatal asphyxia (OR=2.792) and neonatal jaundice (OR=3.687); parenting factors including non-exclusive breastfeeding (OR=2.510), early/excessive screen exposure (OR=3.589) and feeding problems (OR=3.113); and individual factors including being male (OR=3.333) and history of convulsions/epilepsy (OR=7.035) were influencing factors for ASD in Chinese children. Conclusions The prevalence of ASD in Chinese children is primarily associated with 23 influencing factors, including family history of related diseases, history of abortion, no folate supplementation before and during pregnancy, medication during pregnancy, early/excessive screen exposure and history of convulsions/epilepsy.

Aim To explore the mechanism of luteolin in alleviating hepatic fibrosis.Methods C57BL/6 mice were randomly divided into the control group,CCl4 group,silybin group(100 mg·kg-1)and luteo-lin group(100 mg·kg-1).After 10-week modeling and 2-week treatment,the serum levels of aminotrans-ferase and liver histopathology were examined.Hepatic fibrosis and autophagy-related gene expression were as-sessed using immunohistochemistry and immunofluores-cence.Human hepatic stellate cell line(LX2)was cultured and divided into control,TGF-β1(10 mg·L-1),TGF-β1+silybin(40 μmol·L-1),TGF-β1+luteolin(40 μmol·L-1).Fibrotic and autophagy-re-lated markers were analyzed using quantitative real-time PCR,Western blot,immunofluorescence and MDC staining.Results Compared with the CCl4 group,the treatment groups showed significantly improved liver function and reduced hepatic fibrosis,with markedly downregulated COL1A1 and α-SMA expression,and luteolin demonstrated superior efficacy.Compared with TGF-β1 group,luteolin treatment significantly de-creased mRNA levels of COL1A1,ACTA2 and MAP1LC3B,while increasing the mRNA level of SQSTM1,the protein levels of COL1A1 and α-SMA de-creased,p62 was enhanced,the LC3Ⅱ/Ⅰ ratio was downregulated,and autophagy was reduced.These effects of luteolin were reversed by autophagy inducer rapamycin.Conclusion Luteolin alleviates liver fi-brosis by decreasing the autophagy of hepatic stellate cells.

Objective To identify high-risk factors for healthcare-associated infection(HAI)in patients in inten-sive care units(ICUs),and develop a quick response(QR)code-based APP prediction tool.Methods Information of inpatients in general ICUs of three hospitals in Guizhou Province from January to December 2024 were collected.Risk factors were analyzed with a logistic regression model.QR code-based APP was constructed and validated.Results A total of 1 782 patients in general ICUs of three hospitals in Guizhou Province in 2024 were included in the analysis,out of which 410 were HAI cases,and the incidence of HAI was 23.01％.Multivariate logistic regre-ssion analysis results of HAI in ICU inpatients showed that regional gross domestic product(GDP)≥58 685 Yuan,performing pathogen culture during this hospitalization,history of diabetes mellitus,history of cancer,length of hospital stay ≥7 days before infection,and duration of persistent fever＞5 days before infection were independent risk factors for HAI in ICU patients(all P＜0.05).The discrimination of the model(area under the receiver operating characteristic curve[AUC]of 0.841),calibration(Brier score of 0.129),and clinical effectiveness(net benefit of 11.4％when the risk threshold was 5％-74％)all performed well.Conclusion The QR code-based APP prediction tool is of great significance for scientific research transformation and precise HAI control.

Objective:This paper investigates residents'awareness and preference for Traditional Chinese Medicine intelligent diagnostic device(hereinafter referred to as the device),and provides basis and suggestions for further promoting the integrated development of artificial intelligence and traditional Chinese medicine clinical diagnosis.Method:A random sampling survey was conducted,and a Discrete Choice Experiment was designed to conduct an offline survey in Beijing.Use chi square test,count analysis,and conditional Logit model for data analysis.Result:A total of 480 valid questionnaires were collected and surveyed.Most respondents have heard of it(58.96%),a few have used it(31.67%),and most would recommend the device(71.25%).Knowing and using experience will increase the probability of recommendation.Residents attach the highest importance to annual average expenses;More inclined to use devices in the community that can see family data,connect data and hospitals,monitor electrocardiogram,provide comprehensive health reports,and have low annual costs;Willing to pay an additional 572 yuan per year for the comprehensive health report device.Conclusion:There should be more collaboration with hospitals in usage scenarios and cloud data.In addition,manufacturers should enrich output information and service methods of the e.

Toxoplasma gondii is an obligate intracellular parasite that is widely distributed worldwide,and severely endan-gers and threatens human and animal health.T.gondii infection is usually asymptomatic in individuals with normal immune systems.However,during pregnancy,this infection can threaten human health,primarily through abortion,stillbirth,and congenital toxoplasmosis with encephalopathy and ocular damage.The definitive host,cats,play core roles in the spread of tox-oplasmosis in the population.However,knowledge that direct contact between pregnant women and cats necessarily increases miscarriage risk due to T.gondii is lacking among the public.This article reviews the transmission routes of human toxoplas-mosis,clinical characteristics,pathogenesis of pregnancy infections,and prevention measures scientifically,to provide a deci-sion-making reference for personal protection during pregnancy,and enable harmonious and healthy companionship between humans and pet cats.

Objective To investigate the effects of Amanita caojizong on cardiomyocyte apoptosis and the expression of apoptosis-related factors Bcl-2 and Bax,thereby providing experimental evidence for the prevention and treatment of Amanita caojizong poisoning.Methods Mouse cardiomyocytes(HL-1 cells)cultured in vitro were divided into an experimental group(treated with Amanita caojizong extract)and a control group(treated with PBS).After treatment with Amanita caojizong extract,apoptosis of HL-1 cells was observed using TUNEL staining,and the protein expression levels of Bax,Bcl-2,Caspase-3,and Cleaved Caspase-3 in HL-1 cardiomyocytes were detected by Western blot.Results Compared with the control group,the TUNEL staining showed significantly increased apoptotic fluorescence intensity in the Amanita caojizong extract-treated group.The protein expressions of Bax,Caspase-3,and Cleaved Caspase-3 in HL-1 cells in the Amanita caojizong-treated group were upregulated,while the expression of Bcl-2 was downregulated.Conclusion Amanita caojizong can promote apoptosis of mouse cardiomyocytes,and its mechanism may be associated with the Bcl-2/Bax pathway.

Objective:To verify the efficacy of VELscope autofluorescence examination technology in the early warning of potential oral malignant diseases.Methods:80 patients with suspected dysplasia were included and underwent oral examination,visually en-hanced lesion scope(VELscope)autofluorescence examination and histopathology examination respectively,the fluorescence imaging results were compared with the histopathological results.Results:Pathological reports showed 64 cases with mild or no dysplasia,9 cases with moderate or severe dysplasia,1 case with moderate dysplasia without malignant transformation and 6 cases with cancer.The results of VELscope showed that there were 73 positive cases and negative 7 cases of fluorescence deletion.The sensitivity and specificity of VELscope were 93.75％and 9.37％respectively,and the sensitivity could reach 100％in the cancerous tissue.Con-clusion:As a non-invasive examination method,VELscope is highly sensitive but lowly specific.

Aim To investigate the protective effects and potential mechanisms of Radix Angelica sinensis and Radix Hedysari ultrafiltrate(RAS-RH)on X-ray-induced cellular damage in Raw264.7 macrophages.Methods An integrated approach combining network pharmacology,molecular docking,and bioinformatics a-nalysis was employed to predict therapeutic targets and signaling pathways of RAS-RH in coronary heart dis-ease(CHD).Subsequent in vitro validation was per-formed using an X-ray(6 Gy)-induced macrophage in-jury model with four experimental groups:control,radi-ation-only model,and three RAS-RH-treated groups at varying concentrations.Cell viability was assessed by CCK-8 assay,apoptosis by flow cytometry with Annexin V-FITC/PI staining,mitochondrial membrane potential by JC-1 fluorescence,and inflammatory cytokine levels(IL-1 β,IL-6,IL-18,TNF-α)by ELISA.Molecular mechanisms were investigated through Western blot and qRT-PCR analyses of TLR4/NLRP3/Caspase-1 sig-naling pathway components and Bcl-2 family proteins.Results Network pharmacology revealed RAS-RH's multi-target action on apoptosis and inflammation-relat-ed pathways,particularly NF-κB and Bcl-2 signaling.Molecular docking identified strong binding affinities between RAS-RH components and TLR4/NLRP3 pro-teins.In vitro studies demonstrated that RAS-RH treat-ment significantly improved cell viability(P＜0.01),reduced apoptosis(P＜0.01),restored mitochondrial membrane potential(P＜0.05),and attenuated radia-tion-induced ultrastructural damage including mem-brane disruption and cytoplasmic vacuolization.ELISA showed marked suppression of pro-inflammatory cyto-kines(P＜0.01).Transmission electron microscopy(TEM)analysis revealed that RSA-RH ameliorated pyroptosis-associated ultrastructural alterations,inclu-ding plasma membrane disruption and cytoplasmic vac-uolization.Protein and gene expression analyses con-firmed downregulation of TLR4/NLRP3/Caspase-1 pathway and modulation of Bcl-2/Bax ratio.Conclu-sion RAS-RH exerts radioprotective effects through dual regulation of pyroptosis and apoptosis pathways,suggesting its potential as an adjuvant therapy for radia-tion-induced cardiovascular complications in CHD pa-tients.

Objective To identify high-risk factors for healthcare-associated infection(HAI)in patients in inten-sive care units(ICUs),and develop a quick response(QR)code-based APP prediction tool.Methods Information of inpatients in general ICUs of three hospitals in Guizhou Province from January to December 2024 were collected.Risk factors were analyzed with a logistic regression model.QR code-based APP was constructed and validated.Results A total of 1 782 patients in general ICUs of three hospitals in Guizhou Province in 2024 were included in the analysis,out of which 410 were HAI cases,and the incidence of HAI was 23.01％.Multivariate logistic regre-ssion analysis results of HAI in ICU inpatients showed that regional gross domestic product(GDP)≥58 685 Yuan,performing pathogen culture during this hospitalization,history of diabetes mellitus,history of cancer,length of hospital stay ≥7 days before infection,and duration of persistent fever＞5 days before infection were independent risk factors for HAI in ICU patients(all P＜0.05).The discrimination of the model(area under the receiver operating characteristic curve[AUC]of 0.841),calibration(Brier score of 0.129),and clinical effectiveness(net benefit of 11.4％when the risk threshold was 5％-74％)all performed well.Conclusion The QR code-based APP prediction tool is of great significance for scientific research transformation and precise HAI control.

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.