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.

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.

Zona Incerta ; Prefrontal Cortex ; Fear ; Neural Pathways

Objective: The relationship between serum uric acid (SUA) levels and glycemic indices, including plasma glucose (FPG), 2-hour postload glucose (2h-PG), and glycated hemoglobin (HbA1c), remains inconclusive. We aimed to explore the associations between glycemic indices and SUA levels in the general Chinese population. Methods: The current study was a cross-sectional analysis using the first follow-up survey data from The China Cardiometabolic Disease and Cancer Cohort Study. A total of 105,922 community-dwelling adults aged ≥ 40 years underwent the oral glucose tolerance test and uric acid assessment. The nonlinear relationships between glycemic indices and SUA levels were explored using generalized additive models. Results: A total of 30,941 men and 62,361 women were eligible for the current analysis. Generalized additive models verified the inverted U-shaped association between glycemic indices and SUA levels, but with different inflection points in men and women. The thresholds for FPG, 2h-PG, and HbA1c for men and women were 6.5/8.0 mmol/L, 11.0/14.0 mmol/L, and 6.1/6.5, respectively (SUA levels increased with increasing glycemic indices before the inflection points and then eventually decreased with further increases in the glycemic indices). Conclusion An inverted U-shaped association was observed between major glycemic indices and uric acid levels in both sexes, while the inflection points were reached earlier in men than in women.
Aged ; Asian Continental Ancestry Group ; Blood Glucose/analysis* ; China/epidemiology* ; Cohort Studies ; Diabetes Mellitus/blood* ; Female ; Glucose Tolerance Test ; Glycated Hemoglobin A/analysis* ; Glycemic Index ; Humans ; Male ; Middle Aged ; Uric Acid/blood*

Objective Urine is a promising biomarker source for clinical proteomics studies. Regional physiological differences are common in multi-center clinical studies. In this study, we investigate whether significant differences are present in the urinary proteomes of individuals from different regions in China. Methods In this study, morning urine samples were collected from healthy urban residents in three regions of China (Haikou, Xi'an and Xining) and urinary proteins were preserved using a membrane-based method (Urimem). The urine proteomes of 27 normal samples were analyzed using LC-MS/MS and compared among three regions. Functional annotation of the differential proteins among the three areas was analyzed using the DAVID online database, and pathway enrichment of the differential urinary proteins was analyzed using KEGG. Results We identified 1898 proteins from Urimem samples using label-free proteome quantification, of which 56 urine proteins were differentially expressed among the three regions ( < 0.05). Hierarchical clustering analysis showed that inter-regional differences caused less significant changes in the urine proteome than inter-sex differences. After gender stratification, 16 differential proteins were identified in male samples and 84 differential proteins were identified in female samples. Among these differential proteins, several proteins have been previously reported as urinary disease biomarkers. Conclusions Urimem will facilitate urinary protein storage for large-scale urine sample collection. Regional differences are a confounding factor influencing the urine proteome and should be considered in future multi-center biomarker studies.

Anemia, Hemolytic, Congenital ; Humans ; Ion Channels/genetics* ; Mutation

Background:Clinical outcomes of undifferentiated arthritis (UA) are diverse,and only 40 ％ of patients with UA develop rheumatoid arthritis (RA) after 3 years.Discovering predictive markers at disease onset for further intervention is critical.Therefore,our objective was to analyze the clinical outcomes of UA and ascertain the predictors for RA development.Methods:We performed a prospective,multi-center study from January 2013 to October 2016 among Chinese patients diagnosed with UA in 22 tertiary-care hospitals.Clinical and serological parameters were obtained at recruitment.Follow-up was undertaken in all patients every 12 weeks for 2 years.Predictive factors of disease progression were identified using multivariate Cox proportional hazards regression.Results:A total of 234 patients were recruited in this study,and 17 (7.3％) patients failed to follow up during the study.Among the 217 patients who completed the study,83 (38.2％) patients went into remission.UA patients who developed RA had a higher rheumatoid factor (RF)-positivity (42.9％ vs.16.8％,x2=8.228,P=0.008),anti-cyclic citrullinated peptide (CCP) antibodypositivity (66.7％ vs.10.7％,x2 =43.897,P ＜ 0.001),and double-positivity rate of RF and anti-CCP antibody (38.1％ vs.4.1％,x2 =32.131,P ＜ 0.001) than those who did not.Anti-CCP antibody but not RF was an independent predictor for RA development (hazard ratio 18.017,95％ confidence interval:5.803-55.938;P ＜ 0.001).Conclusion:As an independent predictor of RA,anti-CCP antibody should be tested at disease onset in all patients with UA.

Objective To prepare isophenylcyclopentylamine hydrochloride capsules and evaluate its quality. Methods The suitable excipients were selected by the drug-excipient compatibility test,and after the formulation and preparation process design and screening,the micromeritic property and hygroscopicity of contents of capsules as well as the basic performance and stability of is-ophenylcyclopentylamine hydrochloride capsules were evaluate. Results The selected formulation was composed of isophenylcyclo-pentylamine hydrochloride 10 mg,anhydrous dibasic calcium phosphate 128.7 mg,mannitol 128.7 mg and aerosil 2.7 mg.The angle of repose of intermediate powders was(30.71±1.09)°,aerated and packed bulk densities were(0.76±0.01)and(0.90±0.02)g/ml re-spectively,Hausner value was 1.19±0.01,Carr′s index was(15.86±1.05)%,indicating good flowability and filling property as well as relatively low humidity.The contents,uniformity of contents and dissolution of capsules fulfilled the requirements.The quality of ca-pusles kept well in the 6-month accelerated and long-term stability test.Conclusion The formulation is simple and reasonable,and the preparation process showed a good reproducibility,which might be suitable for industrialization.

Objective: To evaluate the impact of the targeted next-generation sequencing (NGS) assay for difficult congenital anemias. Methods: Blood Disease Hospital Anemia Panel 2014 (BDHAP-2014) including 217 known genes of congenital anemias was developed. NGS and parental verification were performed for patients who were suspected diagnosed with congenital anaemia from August 2014 to July 2017. Results: A total of 46 patients were enrolled in this study, the clinical suspection were 11 cases Fanconi anemia (FA), 8 cases congenital dyserythropoietic anemia (CDA), 6 cases congenital sideroblast anemia (CSA), 12 cases congenital hemolytic anemia (CHA), 1 case dyskeratosis congenital (DC), 4 cases iron-refractory iron deficiency anemia and 4 cases unexplained cytopenia (Uc), respectively. 28 (60.9%) of 46 patients became confirmed cases after targeted NGS, corresponding to 44 mutations of which 33 were new. 26(56.5%) patients with results of the assay matching to clinical suspection, including FA (5/11, 45.5%), CSA (6/6, 100.0%), CDA (3/8, 37.5%) and CHA (12/12, 100.0%). 2 (4.3%) cases not matching to clinical suspection, including dyskeratosis congenital (DC) was made in 1(2.2%) patients with suspected FA and familial hemophagocytic lymphohistiocytosis (FHL) was made in 1(2.2%) patients with suspected unexplained cytopenia (Uc). In 12 CHA patients, the hemolytic type was further clarified by the NGS. The remaining 18 cases were not clearly diagnosed. Conclusion: Targeted NGS assay is of major impact on congenital anemias. The assay should be used routinely in congenital anemias.
Anemia ; High-Throughput Nucleotide Sequencing ; Humans

OBJECTIVETo investigate the risk factors for the development of congenital anal atresia in neonates.

METHODSA total of 70 neonates who were admitted to 17 hospitals in Foshan, China from January 2011 to December 2014 were enrolled as case group, and another 70 neonates who were hospitalized during the same period and had no anal atresia or other severe deformities were enrolled as control group. Univariate and multivariate logistic regression analyses were used to investigate the risk factors for the development of congenital anal atresia.

RESULTSThe univariate analysis revealed that the age of mothers, presence of oral administration of folic acid, infection during early pregnancy, and polyhydramnios, and sex of neonates showed significant differences between the case and control groups (P<0.05). The multivariate logistic regression analysis revealed that infection during early pregnancy (OR=18.776) and male neonates (OR=9.304) were risk factors for congenital anal atresia, and oral administration of folic acid during early pregnancy was the protective factor (OR=0.086).

CONCLUSIONSInfection during early pregnancy is the risk factor for congenital anal atresia, and male neonates are more likely to develop congenital anal atresia than female neonates. Supplementation of folic acid during early pregnancy can reduce the risk of congenital anal atresia.