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 incidence rate of kidney diseases in China has always remained high.At present,the clinical treat-ment mainly focuses on symptomatic treatment to delay the progression of the disease,and there is a lack of eco-nomical and effective treatment methods.MicroRNA plays an important regulatory role in the occurrence and devel-opment of diseases.This study aims to explore the role and regulatory mechanism of miR-142a-3p in adriamycin(ADR)-induced renal tubular epithelial cell(TCMK-1)injury,with a focus on its potential as a therapeutic target for ADR nephropathy.First,cell viability was assessed using the CCK-8 kit,and a mouse renal tubular epithelial cell model induced by ADR was established.Subsequently,alterations in miR-142a-3p and its target gene ATG16L1 mRNA levels were quantified using RT-qPCR.Western blotting was used to detect the protein levels of autophagy marker proteins and pyroptosis marker proteins.Monodansylcadaverin(MDC)staining was performed and the autophagy of cells was detected by flow cytometry.The results showed that the relative expression of miR-142a-3p in TCMK-1 cells induced by ADR was increased and the relative expression of its target gene ATG16L1 was decreased(P＜0.0001).Western blotting results showed that the levels of p62(P＜0.001)and pyroptosis-related proteins(P＜0.001)were increased,while the protein levels of autophagy-related proteins were decreased(P＜0.05).The flow cytometry results showed that there was no difference in the mean fluorescence intensity of autoph-agosomes between the ADR group and the autophagosome inhibitor group(3-MA group)(P＞0.05),indicating that after ADR induction,cell autophagy was inhibited and pyroptosis was enhanced.When the expression of miR-142a-3p was inhibited by transfecting miR-142a-3p inhibitor,the relative expression level of the target gene ATG16L1 was restored(P＜0.001).Western blotting showed that the protein level of p62(P＜0.01)and pyropto-sis-related proteins(P＜0.01)were decreased,and the protein level of autophagy-related proteins was restored(P＜0.001).Flow cytometry results further indicated that cell autophagy was restored(P＜0.0001).In conclusion,ADR targets A TG1 6L1 through miR-142a-3p to reduce the autophagy level of TCMK-1,and simultaneously activates GSDMD-mediated pyroptosis.

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*

OBJECTIVES: To study clinical manifestations and gene mutation features of neonates with centronuclear myopathy. METHODS: A retrospective analysis was conducted on the medical data of 5 neonates with centronuclear myopathy diagnosed in the Neonatal Intensive Care Unit of Children's Hospital, Zhejiang University School of Medicine from January 2020 to August 2024. The data included gender, gestational age, birth weight, Apgar score, clinical manifestations, creatine kinase level, electromyography, genetic testing results and the outcomes of the infants. RESULTS: All 5 male neonates had a history of postpartum asphyxia and resuscitation. They all presented with hypotonia, myasthenia, and respiratory failure; two neonates also had swallowing dysfunction. Of the five neonates, three had normal creatine kinase levels, while two had slightly elevated levels. Electromyography was performed for three neonates, among whom two had myogenic damage. MTM1 gene mutations were identified by genetic testing in all five neonates, including two nonsense mutations and three missense mutations, among which one variant had not been previously reported. Four mutations were inherited from the mother, and the other one was a de novo mutation. The five neonates showed no clinical improvement following treatment, failed weaning from mechanical ventilation, and ultimately died after withdrawal of life-sustaining therapy. CONCLUSIONS Centronuclear myopathy caused by MTM1 gene mutation often has a severe phenotype and a poor prognosis, and it should be considered for neonates with hypotonia and myasthenia after birth. Genetic testing should be performed as soon as possible.
Humans ; Myopathies, Structural, Congenital/genetics* ; Male ; Infant, Newborn ; Retrospective Studies ; Mutation ; Female ; Protein Tyrosine Phosphatases, Non-Receptor/genetics*

The incidence rate of kidney diseases in China has always remained high.At present,the clinical treat-ment mainly focuses on symptomatic treatment to delay the progression of the disease,and there is a lack of eco-nomical and effective treatment methods.MicroRNA plays an important regulatory role in the occurrence and devel-opment of diseases.This study aims to explore the role and regulatory mechanism of miR-142a-3p in adriamycin(ADR)-induced renal tubular epithelial cell(TCMK-1)injury,with a focus on its potential as a therapeutic target for ADR nephropathy.First,cell viability was assessed using the CCK-8 kit,and a mouse renal tubular epithelial cell model induced by ADR was established.Subsequently,alterations in miR-142a-3p and its target gene ATG16L1 mRNA levels were quantified using RT-qPCR.Western blotting was used to detect the protein levels of autophagy marker proteins and pyroptosis marker proteins.Monodansylcadaverin(MDC)staining was performed and the autophagy of cells was detected by flow cytometry.The results showed that the relative expression of miR-142a-3p in TCMK-1 cells induced by ADR was increased and the relative expression of its target gene ATG16L1 was decreased(P＜0.0001).Western blotting results showed that the levels of p62(P＜0.001)and pyroptosis-related proteins(P＜0.001)were increased,while the protein levels of autophagy-related proteins were decreased(P＜0.05).The flow cytometry results showed that there was no difference in the mean fluorescence intensity of autoph-agosomes between the ADR group and the autophagosome inhibitor group(3-MA group)(P＞0.05),indicating that after ADR induction,cell autophagy was inhibited and pyroptosis was enhanced.When the expression of miR-142a-3p was inhibited by transfecting miR-142a-3p inhibitor,the relative expression level of the target gene ATG16L1 was restored(P＜0.001).Western blotting showed that the protein level of p62(P＜0.01)and pyropto-sis-related proteins(P＜0.01)were decreased,and the protein level of autophagy-related proteins was restored(P＜0.001).Flow cytometry results further indicated that cell autophagy was restored(P＜0.0001).In conclusion,ADR targets A TG1 6L1 through miR-142a-3p to reduce the autophagy level of TCMK-1,and simultaneously activates GSDMD-mediated pyroptosis.

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.

Purpose::This study evaluated the methods and clinical effects of multidisciplinary collaborative treatment for occlusal reconstruction in patients with old jaw fractures and dentition defects.Methods::Patients with old jaw fractures and dentition defects who underwent occlusal reconstruction at the Third Affiliated Hospital of Air Force Military Medical University from January 2018 to December 2022 were enrolled. Clinical treatment was classified into 3 phases. In phase I, techniques such as orthognathic surgery, microsurgery, and distraction osteogenesis were employed to reconstruct the correct 3-dimensional (3D) jaw position relationship. In phase II, bone augmentation and soft tissue management techniques were utilized to address insufficient alveolar bone mass and poor gingival soft tissue conditions. In phase III, implant-supported overdentures or fixed dentures were used for occlusal reconstruction. A summary of treatment methods, clinical efficacy evaluation, comparative analysis of imageological examinations, and satisfaction questionnaire survey were utilized to evaluate the therapeutic efficacy in patients with traumatic old jaw fractures and dentition defects. All data are summarized using the arithmetic mean ± standard deviation and compared using independent sample t-tests. Results::In 15 patients with old jaw fractures and dentition defects (an average age of 32 years, ranging from 18 to 53 years), there were 7 cases of malocclusion of single maxillary fracture, 6 of malocclusion of single mandible fracture, and 2 of malocclusion of both maxillary and mandible fractures. There were 5 patients with single maxillary dentition defects, 2 with single mandibular dentition defects, and 8 with both maxillary and mandibular dentition defects. To reconstruct the correct 3D jaw positional relationship, 5 patients underwent Le Fort I osteotomy of the maxilla, 3 underwent bilateral sagittal split ramus osteotomy of the mandible, 4 underwent open reduction and internal fixation for old jaw fractures, 3 underwent temporomandibular joint surgery, and 4 underwent distraction osteogenesis. All patients underwent jawbone augmentation, of whom 4 patients underwent a free composite vascularized bone flap (26.66%) and the remaining patients underwent local alveolar bone augmentation. Free gingival graft and connective tissue graft were the main methods for soft tissue augmentation (73.33%). The 15 patients received 81 implants, of whom 11 patients received implant-supported fixed dentures and 4 received implant-supported removable dentures. The survival rate of all implants was 93.82%. The final imageological examination of 15 patients confirmed that the malocclusion was corrected, and the clinical treatment ultimately achieved occlusal function reconstruction. The patient satisfaction questionnaire survey showed that they were satisfied with the efficacy, phonetics, aesthetics, and comfort after treatment.Conclusion::Occlusal reconstruction of old jaw fractures and dentition defects requires a phased sequential comprehensive treatment, consisting of 3D spatial jaw correction, alveolar bone augmentation and soft tissue augmentation, and implant-supported occlusal reconstruction, achieving satisfactory clinical therapeutic efficacy.

AIM To establish the quality standard of the zhujieshen Formula Granules based on standard decoction.METHODS The contents and transfer rates of ginsenoside Ro and chikusetsu saponin Ⅳa in standard decoction and formula granules were determined by HPLC,after which the transfer rates were calculated.The HPLC characteristic chromatograms of standard decoctions were established,after which cluster analysis and principal component analysis were adopted.Then the HPLC characteristic chromatograms of formula granules were established.RESULTS Nine common peaks were found in the HPLC characteristic chromatograms of seventeen batches of standard decoctions with the similarities of more than 0.9(except for S6,S12),which were clustered into two categories,and the accumulative variance contribution rate of three principal components reached 86.7％.The contents of ginsenoside Ro in three batches of formula granules were 83.1-88.6 mg/g,and the transfer rates were 53.1％-55.5％.The contents of chikusetsusaponin Ⅳa were 14.8-15.0 mg/g,and the transfer rates were 47.4％-48.1％.Nine common peaks were found in the HPLC characteristic chromatograms of three batches of formula granules with the similarities of 0.998,0.998 and 0.999,respectively.CONCLUSION This reasonable and reliable method can comprehensively evaluate the quality of Zhujieshen Formula Granules,and provide a reference for the quality control.

Background: The incidence density of metabolic dysfunction-associated fatty liver disease (MAFLD) and the effect of a healthy lifestyle on the risk of MAFLD remain unknown. We evaluated the prevalence and incidence density of MAFLD and investigated the association between healthy lifestyle and the risk of MAFLD. Methods: A cross-sectional analysis was conducted on 37,422 participants to explore the prevalence of MAFLD. A cohort analysis of 18,964 individuals was conducted to identify the incidence of MAFLD, as well as the association between healthy lifestyle and MAFLD. Cox proportional hazards regression was used to calculate the hazard ratio (HR) and 95% confidence interval (CI) with adjustments for confounding factors. Results: The prevalence of MAFLD, non-alcoholic fatty liver disease, and their comorbidities were 30.38%, 28.09%, and 26.13%, respectively. After approximately 70 thousand person-years of follow-up, the incidence densities of the three conditions were 61.03, 55.49, and 51.64 per 1,000 person-years, respectively. Adherence to an overall healthy lifestyle was associated with a 19% decreased risk of MAFLD (HR, 0.81; 95% CI, 0.72 to 0.92), and the effects were modified by baseline age, sex, and body mass index (BMI). Subgroup analyses revealed that younger participants, men, and those with a lower BMI experienced more significant beneficial effects from healthy lifestyle. Conclusion Our results highlight the beneficial effect of adherence to a healthy lifestyle on the prevention of MAFLD. Health management for improving dietary intake, physical activity, and smoking and drinking habits are critical to improving MAFLD.