Extensive studies have identified potential adverse effects on semen quality of obesity, based on body mass index, but the association between body fat distribution, a more relevant indicator for obesity, and semen quality remains less clear. We conducted a longitudinal study of 4304 sperm donors from the Guangdong Provincial Human Sperm Bank (Guangzhou, China) during 2017-2021. A body composition analyzer was used to measure total and local body fat percentage for each participant. Generalized estimating equations were employed to assess the association between body fat percentage and sperm count, motility, and morphology. We estimated that each 10% increase in total body fat percentage (estimated change [95% confidence interval, 95% CI]) was significantly associated with a 0.18 × 10 6 (0.09 × 10 6 -0.27 × 10 6 ) ml and 12.21 × 10 6 (4.52 × 10 6 -19.91 × 10 6 ) reduction in semen volume and total sperm count, respectively. Categorical analyses and exposure-response curves showed that the association of body fat distribution with semen volume and total sperm count was stronger at higher body fat percentages. In addition, the association still held among normal weight and overweight participants. We observed similar associations for upper limb, trunk, and lower limb body fact distributions. In conclusion, we found that a higher body fat distribution was significantly associated with lower semen quality (especially semen volume) even in men with a normal weight. These findings provide useful clues in exploring body fat as a risk factor for semen quality decline and add to evidence for improving semen quality for those who are expected to conceive.
Humans ; Male ; Adult ; Semen Analysis ; China ; Body Fat Distribution ; Longitudinal Studies ; Sperm Count ; Sperm Motility ; Body Mass Index ; Tissue Donors ; Obesity/complications* ; Spermatozoa ; Young Adult ; Middle Aged ; East Asian People

OBJECTIVE: To investigate the clinical features and risk factors associated with cutaneous chronic graft-versus-host disease (cGVHD) after allogeneic hematopoietic stem cell transplantation (allo-HSCT) in children. METHODS: A retrospective analysis was conducted on the clinical data of children who underwent allo-HSCT in the Wuhan Children's Hospital from August 1, 2016, to December 31, 2023, and were regularly followed up for 1 year or more. The differences in clinical features between children with and without cutaneous cGVHD were compared, and the risk factors affecting the occurrence of cutaneous cGVHD were analyzed. RESULTS: During the study period, 296 children received allo-HSCT. Until December 31, 2024, follow-up showed that 20 children (6.8%) developed cutaneous cGVHD, which manifested as cutaneous lichenification, hyperpigmentation, keratosis pilaris, sclerotic changes, and hair or nail involvement. According to their skin lesion area and degree of grading, 5 cases were mild, 10 cases were moderate, and 5 cases were severe. Multivariate logistic regression analysis revealed that female donors and previous acute GVHD were risk factors for the development of cutaneous cGVHD after allo-HSCT. All 20 children were treated with glucocorticoid ± calcineurin inhibitors (tacrolimus/cyclosporine) as first-line therapeutic agents. Only 1 child improved after first-line treatment. The remaining 19 children treated with a second-line regimen of combination interventions based on individualized status, including 10 children who could not tolerate hormonotherapy or first-line treatment, and showed no significant improvement after 3 months, as well as 9 children with multi-organ cGVHD. After comprehensive second-line treatment, 17 children showed improvement in cutaneous symptoms. There were 3 deaths, including 1 due to primary disease recurrence and 2 due to pulmonary infections. CONCLUSION The skin is the first manifestation and most common organ involved in cGVHD in children. Cutaneous cGVHD severely affects the daily activities of transplanted children and requires prolonged immunosuppressive therapy, but has a favorable prognosis. First-line treatments for adults are not applicable to children who usually require a combination treatment with multiple drugs.
Humans ; Graft vs Host Disease/etiology* ; Hematopoietic Stem Cell Transplantation/adverse effects* ; Retrospective Studies ; Risk Factors ; Female ; Child ; Skin Diseases/etiology* ; Chronic Disease ; Transplantation, Homologous ; Male ; Child, Preschool ; Adolescent

During orthodontic treatment, clinical monitoring of patients is a crucial factor in determining treatment success. It aids in timely problem detection and resolution, ensuring adherence to the intended treatment plan. In recent years, digital technology has increasingly permeated orthodontic clinical diagnosis and treatment, facilitating clinical decision-making, treatment planning, and follow-up monitoring. This review summarizes recent advancements in digital technology for monitoring orthodontic tooth movement, related complications, and appliance-wearing compliance. It aims to provide insights for researchers and clinicians to enhance the application of digital technology in orthodontics, improve treatment outcomes, and optimize patient experience. The digitization of diagnostic data and the visualization of dental models make chair-side follow-up monitoring more convenient, accurate, and efficient. At the same time, the emergence of remote monitoring technology allows orthodontists to promptly identify oral health issues in patients and take corresponding measures. Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. The application of digital technology in orthodontic monitoring holds great promise. However, challenges like technical bottlenecks, ethical considerations, and patient acceptance remain.

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 2024 National Education Work Conference pointed out that at the current juncture of the critical period for achieving the goals and tasks of the 14th Five-Year Plan,the implementation of the Education Powerhouse Construction Plan Outline should be taken as the main line of work,and building first-class disciplines is an crucial task for a higher education powerhouse.In 2022,forensic medicine was officially listed as a first-level discipline under the medical category,presenting an un-precedented historical opportunity for the development of forensic medicine.The forensic medicine dis-cipline of Southern Medical University comprehensively improves the quality of talent cultivation and facilitates the construction of first-class disciplines as its main direction.It aims to initiate and imple-ment a high-level faculty team building plan featuring"combining recruitment and cultivation,inter-disciplinary integration";make vigorous efforts to establish a first-level doctoral program,refine advan-tageous second-level disciplines and research directions;and establish an innovative research platform from a high starting point with deep integration.The discipline adheres to moral cultivation and the Five Domains of Education simultaneous development,to build a high-quality talent joint training model.Guided by the construction of the national legal system and industry needs,the discipline will enhance social service capabilities.The forensic medicine construction in our university will continue to contribute to the rule of law in China and educational power.

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 This study aimed to investigate the effects of sleep interruption(SI)cycles on emotional behavior in ICR mice,and to establish a mouse model of comorbid anxiety and depression induced by SI.Methods Seventy-two male ICR mice(4～5 weeks old)were divided randomly into a blank group and a model group.Mice in the model group were subjected to SI stress modeling for 1,2,and 3 weeks,respectively.After modeling,emotional behaviors were evaluated using open-field,elevated plus maze,light-dark box,marble-burying,and forced-swimming tests.Serum corticosterone levels were detected by enzyme-linked immunosorbent assay.Results Mice in the model group buried significantly more marbles after 1 week of SI stress,compared with the blank group(P＜0.05).After 2 weeks of stress,mice in the model group also showed a significant decrease in the number of crossings in the light-dark box(P＜0.05)and a significant increase in the number of marbles buried(P＜0.01)compared with the control group.After 3 weeks of stress,mice in the model group showed a significant increase in the number of marbles buried(P＜0.05),a significant decrease in the number of crossings in the light-dark box(P＜0.05),and a significant increase in immobility time in the forced-swim test(P＜0.01).Conclusions ICR mice exhibited significant anxiety-related behaviors after 2 weeks of SI modeling and significant anxiety-and depressive-related behavioral changes after 3 weeks.Three weeks of SI stress can be used to establish a model of comorbid anxiety and depression.

Objective:To investigate the impact of pre-treatment TPMT and NUDT15 genotyping on medication selection, tolerability and discontinuation rates of azathioprine or 6-mercaptopurine therapy in children with inflammatory bowel disease (IBD).Methods:A retrospective cohort study was conducted on 181 children with IBD who were scheduled for azathioprine or 6-mercaptopurine therapy at the Department of Gastroenterology, Children′s Hospital, Zhejiang University School of Medicine between January 2010 and January 2023. Among them, 168 children who received treatment were divided into a genotyped group and non-genotyped group based on pre-treatment TPMT and NUDT15 genotyping. The incidence of drug-related adverse reactions was compared between the two groups. The impact of genotyping on medication selection and discontinuation rates was analyzed. Chi-square test or Fisher exact test were used for intergroup comparisons. Logistic regression analysis was used to control the confounding factors. Firth Logistic regression analysis was applied for data with complete separation. The probability of discontinuation was assessed using survival analysis with Cox proportional hazards modeling.Results:Among the 181 children with IBD, 13 did not receive azathioprine or 6-mercaptopurine due to genetic variants, while the remaining 168 underwent the therapy (154 cases of Crohn′s disease and 14 cases ulcerative colitis; 108 males and 60 females). Excluding the 13 untreated cases, 77 children underwent TPMT and NUDT15 genotyping were assigned to the genotyped group, and the remaining 91 to the non-genotyped group. Adverse reactions included myelosupression (26 cases,15.5%), hepatotoxicity (18 cases,10.7%), gastrointestinal disturbance (25 cases,14.9%), alopecia (12 cases,7.1%), fever (3 cases,1.8%), rash (2 cases,1.2%), and pancreatitis (1 case,0.6%). The incidence of overall adverse reactions was significantly higher in the non-genotyped group compared to that of the genotyped group (40.7% (37/91) vs. 26.0% (20/77), P<0.05). Specifically, the non-genotyped group had a higher rate of gastrointestinal reactions compared to the genotyped group (24.2% (22/91) vs. 3.3% (3/77), P<0.01). Cox regression analysis revealed that non-genotyped group had a higher risk of treatment discontinuation due to the adverse reactions ( HR=1.47, 95% CI 0.65-3.30). Conclusion:Pre-treatment genotyping of TPMT and NUDT15 variants can help guide the selection of clinical drugs, reduce the incidence of drug-related adverse reactions and enhance tolerability of azathioprine or 6-mercaptopurine therapy in IBD children.

Object:To explore the feasibility of using artificial intelligence for quality control of echocardiographic images.Methods:Retrospectively，5 000 two-dimensional echocardiographic video images within the period from 2021 to 2023 were randomly retrieved from the echocardiography database of Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University. Among these selected images，1 559 of them were apical views. The physician team formulated the scoring rules，which specifically included four scoring criteria：gain，scaling ratio，cardiac axis angle，and structure. Subsequently，the data were labeled with view classification and image quality scores. The labeled data were further partitioned into the training set（ n = 643），the validation set（ n = 276），and the test set（ n = 640）. The training and validation sets were utilized for constructing the models for view classification and quality assessment，while the test set was employed to verify the models' effectiveness. The view classification module was implemented using the SlowFast model，and the quality assessment module involved algorithms such as ResNet，Video Swin Transformer，SSD，and U-Net. Results:The average accuracy，precision，recall rate and F1 score of the classification model in identifying each apical view were 0.987 1，0.983 0，0.987 1 and 0.984 9 respectively，and the inference time was（333.4 ± 105.4）ms. The average accuracies of the quality assessment module in terms of gain，scaling ratio，cardiac axis angle and display of main structures were 0.915 1，0.928 2，0.938 7 and 0.965 6 respectively，and the overall scoring accuracy was 0.912 7.Conclusions:The echocardiogram quality control system developed in this research can effectively classify and evaluate the quality of two-dimensional images of the apical views in echocardiograms. Moreover，it guarantees the objectivity，timeliness and high-efficiency of quality control，which has reference value for the establishment of the echocardiogram quality control system.

Objective:Exploring the role and mechanism of CHMP4C in regulating necroptosis during gastric can-cer development and progression.Method:The expression of CHMP4C in pan-cancer was analyzed by bioinformatics methods,and the expression of CHMP4C was detected in human normal gastric epithelial cells and GC cell lines by RT-qPCR and Western blot.Overexpression or knockdown of CHMP4C was performed in GC cell lines,and the effects of CHMP4C on the growth and proliferation of GC cells were detected using CCK-8 and clone formation assays.The CCK-8 experiment and Hoechst/PI double staining experiment were used to detect the changes in GC cell mortality and PI positive cell ratio after treatment with the necroptsis inducer TSZ or inhibitor necrostatin-1(Nec-1).Western blot assay was used to detect the protein and phosphorylation levels of RIPK1,RIPK3,and MLKL in GC cells.Result:CHMP4C was upregulated in GC tissues and cells.The CCK-8 and clone formation experiments showed that overex-pression of CHMP4C significantly improved the proliferation ability and colony formation efficiency of GC cells,while knockdown of CHMP4C significantly weakened GC cells.Moreover,the results of CCK-8 and Hoechst 33342/PI double staining experiments showed that upregulated CHMP4C could inhibit TSZ induced GC cell death;Nec-1 can reverse the decrease in GC cell viability caused by CHMP4C knockdown.Western blot experiment showed that the levels of p-RIPK1,p-RIPK3,and p-MLKL were significantly decreased in overexpressing cells,while they were increased in knockdown cells.After treatment with Nec-1,the expression levels of these three proteins decreased in knockdown cells.Conclusion:CHMP4C may promote GC progression by negatively regulating necroptosis through inhibiting the phosphorylation of the RIPK1/RIPK3/MLKL signaling pathway,suggesting that it is expected to be a potential target for GC therapy.