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.

The differences in chemical quality characteristics between Xinjiang Rehmannia glutinosa and R. glutinosa were analyzed to provide a theoretical basis for the introduction and quality control of R. glutinosa. In this study, the high performance liquid chromatography(HPLC) fingerprints of 6 batches of Xinjiang R. glutinosa and 10 batches of R. glutinosa samples were established. The content of iridoid glycosides, phenylethanoid glycosides, monosaccharides, oligosaccharides, and polysaccharides in Xinjiang R. glutinosa and R. glutinosa was determined by high performance liquid chromatography-diode array detection(HPLC-DAD), high performance liquid chromatography-evaporative light scattering detection(HPLC-ELSD), and ultraviolet-visible spectroscopy(UV-Vis). The determination results were analyzed with by chemical pattern recognition and entropy weight TOPSIS method. The results showed that there were 19 common peaks in the HPLC fingerprints of the 16 batches of R. glutinosa, and catalpol, aucubin, rehmannioside D, rehmannioside A, hydroxytyrosol, leonuride, salidroside, cistanoside A, and verbascoside were identified. Hierarchical cluster analysis(HCA) and principal component analysis(PCA) showed that Qinyang R. glutinosa, Mengzhou R. glutinosa, and Xinjiang R. glutinosa were grouped into three different categories, and eight common components causing the chemical quality difference between Xinjiang R. glutinosa and R. glutinosa in Mengzhou and Qinyang of Henan province were screened out by orthogonal partial least squares discriminant analysis(OPLS-DA). The results of content determination showed that there were glucose, sucrose, raffinose, stachyose, polysaccharides, and nine glycosides in Xinjiang R. glutinosa and R. glutinosa samples, and the content of catalpol, rehmannioside A, leonuride, cistanoside A, verbascoside, sucrose, and glucose was significantly different between Xinjiang R. glutinosa and R. glutinosa. The analysis with entropy weight TOPSIS method showed that the comprehensive quality of R. glutinosa in Mengzhou and Qinyang of Henan province was better than that of Xinjiang R. glutinosa. In conclusion, the types of main chemical components of R. glutinosa and Xinjiang R. glutinosa were the same, but their content was different. The chemical quality of R. glutinosa was better than Xinjiang R. glutinosa, and other components in R. glutinosa from two producing areas and their effects need further study.
Rehmannia/classification* ; Drugs, Chinese Herbal/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Quality Control

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

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.

Tricuspid regurgitation(TR)is a common heart valve disease.According to the pathogenesis,TR can be divided into primary(organic)and secondary(functional)regurgitation,of which functional TR accounts for more than 90%.Patients with severe TR have poor prognosis and poor drug treatment,and surgery(valvuloplasty)is the main treatment.At present,transcatheter edge-to-edge tricuspid valve repair(T-TEER)has become an essential program of transcatheter treatment for TR,providing minimally invasive treatment for TR patients who cannot undergo surgery or are at high risk of surgery.T-TEER reduces the degree of regurgitation by clamping leaflets,and is currently in the early stage of research and development exploration and clinical validation,mainly for functional TR.T-TEER devices have also made significant progress(TriClip,PASCAL),and Chinese-made novel-designed T-TEER devices are also undergoing clinical trials(DragonFly-TTM,SQ-Kyrin-TTM,NeoBlazarTM).This paper reviews the current applications and research progress of T-TEER.

Objective To provide clinical practitioners with references for rational and safe usage of cyclophosphamide(CTX)by conducting an in-depth analysis of its adverse drug events(ADE)reported in clinical settings.Methods Based on the Food and Drug Administration(FDA)adverse event reporting system,the online pharmacovigilance tool OpenVigil collected ADE data of CTX from January 1,2013 to March 11,2023.The ADE data mining analysis was performed using the reporting odds ratio(ROR)and Bayesian confidence propagation neural network(BCPNN)methods.Results A total of 8 223 ADE reports met the inclusion criteria,and 422 ADE signals were obtained,involving 21 system organ classification(SOC),of which women(44.12％)accounted for a higher proportion than men(31.02％),the age distribution was mainly in the population 46-65 years old.The involved SOC mainly included infections and invasive diseases,hematologic and lymphatic system diseases,systemic diseases and various reactions at the site of administration,etc.;the ADE signals with a higher number of reports were myelosuppression,disease progression,pyrexia,febrile neutropenia,etc.A total of 18 suspected adverse drug reaction(ADR)not documented in the CTX drug insert were unearthed.Conclusion Clinical practitioners should be alert to ADE signals outside the drug insert,such as neonatal diseases and maternal exposure before pregnancy,methemoglobinemia,etc.,when using cyclophosphamide to improve the safety and effectiveness of clinical treatment.

Objective To develop a prediction tool for post-endoscopic retrograde cholangiopancreatography(ER-CP)early biliary tract infection(PEEBI)in patients with choledocholithiasis,and assist clinical decision-making be-fore ERCP and early personalized intervention after ERCP.Methods An observational bidirectional cohort study was adopted to select inpatients with choledocholithiasis who underwent ERCP in a hospital.Directed acyclic graph(DAGs)and the least absolute shrinkage and selection operator(LASSO)were used to predict PEEBI based on lo-gistic regression,and the models were compared and validated internally and externally.Results From January 1,2020 to September 30,2023,a total of 2 121 patients with choledocholithiasis underwent ERCP were enrolled,of whom 77(3.6％)developed PEEBI,mostly in the first 2 days after surgery(66.2％).The major influencing fac-tors for PEEBI were non-iatrogenic patient-related factors,namely diabetes mellitus(OR=2.43,95％CI:1.14-4.85),bile duct malignancy(OR=3.95,95％CI:1.74-8.31)and duodenal papillary diverticulum(OR=4.39,95％CI:1.86-9.52).Compared with the LASSO model,the DAGs model showed higher ability(3.0％)in com-prehensive discrimination(P=0.007),as well as good differentiation performance(D=0.133,P=0.894)and cal-ibration performance(x2=5.499,P=0.703)in external validation.Conclusion The DAGs model constructed in this study has good predictive performance.With the help of this tool,targeted early preventive measures in clinical practice can be taken to reduce the occurrence of PEEBI.

AIM To investigate the renal protective effects of Shiwei Ruxiang Powder on gouty nephritis in rats based on mitophagy.METHODS Rats were randomly divided into the blank group,the model group,the low-dose,medium-dose,and high-dose Shiwei Ruxiang Powder groups(200,400,800 mg/kg)and allopurinol group(10 mg/kg).The rat model of gouty nephropathy was established by gavage of potassium oxyzinate(750 mg/kg)and uric acid(300 mg/kg).The rats had their levels of UA,SCr,BUN,XOD,SOD,MDA,ROS measured by automatic biochemical analyzer,ELISA and chemical fluorescence method;their renal pathological changes observed by HE staining;their apoptosis of renal tissue cells observed by TUNEL staining;and their mRNA and protein expressions of IL-1β,TNF-α,Bax,Bcl-2,caspase-3,caspase-9,PINK1,Parkin and LC3-Ⅱ detected by RT-qPCR and Western blot.RESULTS Compared with the model group,Shiwei Ruxiang Powder groups displayed dose-dependently decreased serum levels of UA,BUN and SCr,renal deposition of urate crystal and apoptosis(P<0.05);decreased renal levels of ROS and inflammatory factors IL-1β and TNF-α(P<0.05);and increased renal expressions of mitochondrial autophagy-related proteins PINK1,Parkin and LC3-Ⅱ(P<0.01).CONCLUSION Shiwei Ruxiang Powder may relieve gouty kidney injury in rats by reducing the uric acid level,the renal oxidative stress and inflammatory response,and activating mitophagy pathway as well.

Objective To improve the fixation method of the transmission electron microscope for better morphological preservation of mitochondria and lipid droplets in mouse brown adipose tissue. Methods The fixation method for mouse brown adipose tissue was optimized, mainly including an increased concentration of paraformaldehyde from 2% to 4% in the pre-fixative, employment of transcardial perfusion followed by immersion fixation in pre-fixation, and using imidazole-buffered osmium tetroxide as the post-fixative. The ultrastructures of brown adipocytes prepared by the improved method were observed and compared with those of a known standard protocol (3 mice in each group). The improved method was further validated in the quantitative analysis of mitochondrial cristae density and lipid droplets. Results The mitochondrial cristae and membrane structure of other organelles of brown adipocytes were better preserved using the optimized method compared with those of the standard method. Lipid droplets were presented as round structures with high electron density instead of vacuolated appearances. Using this method, we observed that the density of mitochondrial cristae and the content of lipid droplets increased in brown adipocytes after cold adaptation. Conclusion The optimized method can better preserve the ultrastructure of organelles in brown adipocytes, especially mitochondria and lipid droplets, and ma)' be applicable for studying the ultrastructures remodeling of brown adipose tissue under different physiological or pathological conditions.

OBJECTIVE: This study was aimed at investigating the carrier rate of, and molecular variation in, α- and β-globin gene mutations in Hunan Province. METHODS: We recruited 25,946 individuals attending premarital screening from 42 districts and counties in all 14 cities of Hunan Province. Hematological screening was performed, and molecular parameters were assessed. RESULTS: The overall carrier rate of thalassemia was 7.1%, including 4.83% for α-thalassemia, 2.15% for β-thalassemia, and 0.12% for both α- and β-thalassemia. The highest carrier rate of thalassemia was in Yongzhou (14.57%). The most abundant genotype of α-thalassemia and β-thalassemia was -α ^3.7/αα (50.23%) and β ^IVS-II-654/β ^N (28.23%), respectively. Four α-globin mutations [CD108 (ACC>AAC), CAP +29 (G>C), Hb Agrinio and Hb Cervantes] and six β-globin mutations [CAP +8 (C>T), IVS-II-848 (C>T), -56 (G>C), beta nt-77 (G>C), codon 20/21 (-TGGA) and Hb Knossos] had not previously been identified in China. Furthermore, this study provides the first report of the carrier rates of abnormal hemoglobin variants and α-globin triplication in Hunan Province, which were 0.49% and 1.99%, respectively. CONCLUSION Our study demonstrates the high complexity and diversity of thalassemia gene mutations in the Hunan population. The results should facilitate genetic counselling and the prevention of severe thalassemia in this region.
Humans ; beta-Thalassemia/genetics* ; alpha-Thalassemia/genetics* ; Hemoglobinopathies/genetics* ; China/epidemiology* ; High-Throughput Nucleotide Sequencing