Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Spermatogenesis is a fundamental process that requires a tightly controlled epigenetic event in spermatogonial stem cells (SSCs). The mechanisms underlying the transition from SSCs to sperm are largely unknown. Most studies utilize gene knockout mice to explain the mechanisms. However, the production of genetically engineered mice is costly and time-consuming. In this study, we presented a convenient research strategy using an RNA interference (RNAi) and testicular transplantation approach. Histone H3 lysine 9 (H3K9) methylation was dynamically regulated during spermatogenesis. As Jumonji domain-containing protein 1A (JMJD1A) and Jumonji domain-containing protein 2C (JMJD2C) demethylases catalyze histone H3 lysine 9 dimethylation (H3K9me2), we firstly analyzed the expression profile of the two demethylases and then investigated their function. Using the convenient research strategy, we showed that normal spermatogenesis is disrupted due to the downregulated expression of both demethylases. These results suggest that this strategy might be a simple and alternative approach for analyzing spermatogenesis relative to the gene knockout mice strategy.
Spermatogenesis/physiology* ; Animals ; Male ; Mice ; Epigenesis, Genetic ; Jumonji Domain-Containing Histone Demethylases/metabolism* ; Histones/metabolism* ; RNA Interference ; Testis/metabolism* ; Methylation ; Mice, Knockout ; Histone Demethylases

Objective:To observe the effect of high-frequency repetitive transcranial magnetic stimulation (rTMS) at different frequencies on cognitive impairment due to high-altitude hypoxia.Methods:Sixty officers and soldiers displaying cognitive impairment in a hypoxic high-altitude environment were randomly divided into 15Hz, 20Hz and 25Hz groups, each of 20. They were given rTMS at those frequencies for 30 days. Before the stimulation and after 15 and 30 days, event-related potentials, latencies of mismatched negativity (MMN) and P300 signals were recorded. The participants′ cognition was also evaluated using the Montreal Cognitive Assessment Scale (MoCA). Correlation between the electrophysiological indexes and the MoCA scores was computed.Results:After 15 days, all had shorter MMN latencies, higher total MoCA scores and better memory scores. The only significant difference among the three groups was in the average memory scores. After 15 days, MMN latency was significantly negatively correlated with the memory scores in all three groups ( r=0.44 to -0.54). Conclusions:rTMS at frequencies above 15Hz can effectively relieve cognitive impairment, especially memory dysfunction, resulting from high-altitude hypoxia.

Objective:To identify the risk factors for acute graft-versus-host disease (aGVHD) in patients with acute myeloid leukemia (AML) undergoing haploidentical hematopoietic stem cell transplantation (HID-HSCT) .Methods:A total of 141 AML patients who underwent HID-HSCT at the Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, from January 2020 to July 2021 were included. The cumulative incidence of aGVHD was analyzed using the Fine-Gray competing risk model, with relapse and death as competing events, to compare differences between groups. Potential risk factors were evaluated by univariable and multivariable Cox proportional hazards regression analyses to determine their independent effects on aGVHD.Results:Among the 141 patients, 86 (61.0%) were male and 55 (39.0%) were female, with a median age at transplantation of 34 years. Within 100 days post-transplant, 59 patients developed grade Ⅱ-Ⅳ aGVHD, whereas 86 patients experienced no or grade Ⅰ aGVHD (the grade 0-Ⅰ aGVHD group) . Survival analysis showed that the 3-year overall survival was 68.7% (95% CI: 57.7%-81.9%) in the grade Ⅱ-Ⅳ aGVHD group, compared with 78.8% (95% CI: 70.4%-88.3%) in the grade 0 - Ⅰ aGVHD group, with the difference not being statistically significant ( P=0.190) . Univariable analysis identified donor age ( P=0.020, HR=1.020, 95% CI: 1.000-1.040) and the female donor-male recipient sex combination ( P=0.033, HR=1.980, 95% CI: 1.160-3.380) as risk factors for grade Ⅱ-Ⅳ aGVHD. Multivariable analysis confirmed that donor age ( P=0.005, HR=1.026, 95% CI: 1.008-1.047) and the female donor-male recipient sex combination ( P=0.002, HR=2.339, 95% CI: 1.354-4.037) were independent risk factors for aGVHD. Patients receiving grafts from donors aged >45 years had a significantly higher 100-day cumulative incidence of grade Ⅱ-Ⅳ aGVHD compared with those receiving grafts from donors ≤45 years [54.7% (95% CI: 42.3%-67.0%) vs 31.6% (95% CI: 21.0%-42.1%) , P=0.006]. Similarly, patients with the female donor-male recipient sex combination had a higher 100-day cumulative incidence of grade Ⅱ-Ⅳ aGVHD than those with other sex combinations [56.8% (95% CI: 40.4%-73.1%) vs 36.9% (95% CI: 27.5%-46.3%) , P=0.015]. Conclusion:Older donor age and the female donor-male recipient sex combination remain independent risk factors for aGVHD in patients with AML undergoing HID-HSCT.

Objective:To analyze the epidemiological characteristics and influencing factors of single-cigarette use and dual cigarette-cigar use in China.Methods:This study was a cross-sectional study that selected 85 638 urban and rural residents who met the inclusion criteria from the 2018 China Health Literacy Survey as research subjects. An analysis was conducted on 21 849 users of cigarettes and cigars among them. Due to the small number of individuals who exclusively used cigars (247 cases), the research subjects were divided into two categories: exclusive cigarette users and dual users of cigarettes and cigars. The groups were categorized by age (18-34 years, 35-54 years, ≥55 years), gender (male, female), education level (primary school and below, junior high school and high school, university and above) and annual household income (<20 000 yuan, 20 000-<80 000 yuan, ≥80 000 yuan) to compare the tobacco usage rate and conduct subgroup analyses for each subgroup. Multivariate logistic regression analysis was employed, incorporating general demographic characteristic information to explore the influencing factors of exclusive cigarette use and dual use of cigarettes and cigars, respectively.Results:The rate of exclusive cigarette use in our country was 24.3%, while the dual use rate of cigarettes and cigars was 0.9%. The exclusive cigarette use rate and the dual use rate of cigarettes and cigars among males were significantly higher than those among females (48.25% vs 2.48%, and 1.84% vs 0.06%) (both P<0.001). For males, the high-risk factors for exclusive cigarette use included living in urban areas ( OR: 1.37, 95% CI: 1.23-1.54), being Han ethnicity ( OR: 1.73, 95% CI: 1.51-1.98), and having an annual household income ≥20 000 yuan ( OR: 1.54, 95% CI: 1.38-1.82) while having a junior high school education or higher was a protective factor ( OR: 0.68, 95% CI: 0.52-0.90). Age≥35 years ( OR: 3.36, 95% CI: 2.62-4.32) and having a junior high school education or higher ( OR: 1.30, 95% CI: 1.02-1.67) were risk factors for dual use of cigarettes and cigars in males. Among females, living in urban areas ( OR: 1.53, 95% CI: 1.19-1.97) and being Han ethnicity ( OR: 5.96, 95% CI: 4.47-7.96) were risk factors for exclusive cigarette use, while having a university education or higher was a protective factor ( OR: 0.28, 95% CI: 0.18-0.42). However, for female dual use of cigarettes and cigars, no significant effects were observed for any demographic characteristics. Conclusions:The use rate of cigarettes alone in China is significantly higher than that of cigarette-cigar dual use, and the rates of cigarette use alone and cigarette-cigar dual use in men are significantly higher than those in women. Tobacco use is being affected by sociodemographic factors, among which place of residence, ethnicity and education level are the main influencing factors of cigarette use alone, and gender, age and education level are the main influencing factors of cigarette-cigar dual use.

Objective To analyze the efficacy and safety of ustekinumab(UST)in patients with moderate-to-severe Crohn's disease(CD),and to identify factors influencing clinical outcomes.Methods Data were retrospectively collected from patients with moderate-to-severe CD treated with UST in the First Affiliated Hospital of Zhejiang Chinese Medical University and Hangzhou Hospital of Traditional Chinese Medicine between November 2020 and May 2023.Patients were categorized into first-line(not treated with biologic agents,n=68)and second-line(treated with biologic agents,n=66)treatment groups based on prior use of biologic agents.Baseline characteristics,including age,sex,smoking status,disease duration,age at diagnosis,lesion site,disease behavior,perianal disease,history of intestinal surgery,and CD-related drug use,were compared between the two groups.Crohn's disease activity indices(CDAI)were recorded at baseline,week 14,and week 52 to assess the clinical efficacy at weeks 14 and 52.Endoscopic evaluations were performed at baseline and week 52 to evaluate endoscopic efficacy at week 52.The 52-week drug persistence rate and safety profile were also analyzed.Influencing factors related to clinical outcomes were evaluated using univariate and multivariate logistic regression.Results A total of 134 patients with moderate-to-severe CD treated with UST were included.At week 14,clinical response and remission rates were 75.4%(101/134)and 33.6%(45/134),respectively,with no significant difference in clinical efficacy between first-line and second-line groups(clinical response rate:77.9%vs.72.7%,P=0.484;clinical remission rate:38.2%vs.28.8%,P=0.247).At week 52,clinical response and remission rates were 79.9%(107/134)and 56.0%(75/134),respectively.The rates of endoscopic response and remission were 70.9%(95/134)and 38.8%(52/134),respectively.There were no significant differences in clinical efficacy(clinical response rate:80.9%vs.78.8%,P=0.763;clinical remission rate:60.3%vs.51.5%,P=0.306)and endoscopic efficacy(endoscopic response rate:76.5%vs.65.2%,P=0.149;endoscopic remission rate:42.6%vs.34.8%,P=0.354)between the two groups.The 52-week drug persistence rate was 85.8%(115/134),and the adverse reaction rate was 4.5%(6/134).Compared with first-line treatment group,biologic-experienced patients had a significantly higher proportion of dose-optimized therapy in second-line treatment group(45.5%vs.22.1%,P=0.004).Multivariate logistic regression showed that the 14-week clinical response was a significant predictor of 52-week clinical remission,while perianal disease and intestinal surgery history were significant factors associated with treatment failure(P<0.05).Conclusions UST demonstrates significant efficacy in improving clinical and endoscopic outcomes for moderate-to-severe CD patients,with a favorable safety profile.Clinical response at 14 weeks is strongly predictive of clinical remission at 52 weeks.Patients with perianal disease or a history of intestinal surgery were at higher risk of treatment failure.

Objective To explore the correlation between the rs7296288 single nucleotide polymorphism(SNP)of the DHH gene and the onset of depression.Methods From March 2018 to December 2019,480 patients with depression in Sichuan Provincial People's Hospital,Jining Mental Hospital,Yunnan Mental Health Center were collected as the case group,and 329 patients without depression were collected as the control group.Peripheral blood samples were collected and DNA was extracted.After multiple amplification and high-throughput sequencing,statistical software was used to analyze the relevant data.Results The rs7296288 polymorphism of the DHH gene,the AA genotype was 32.9％in the control group and 36.7％in the case group,with no statistical difference;the AC genotype was 52.8％in the control group and 47.7％in the case group,with no statistical difference;the CC genotype was 14.3％in the control group and 15.6％in the case group,with no statistical difference.The co-dominant,dominant,and recessive statistical models were not statistically significant.Subgroup analysis of the degree of depressive episodes,suicide attempts,and first-episode patients did not find an association between the rs7296288 SNP locus of the DHH gene and the clinical features of depression,that is,the SNP rs7296288 of the DHH gene had no significant correlation with depression.Conclusion The rs7296288 polymorphism of DHH gene is not correlated with the pathogenesis of depression.

In recent years, the deep integration of artificial intelligence (AI) into medical education has created new opportunities for teaching Biochemistry and Molecular Biology, while also offering innovative solutions to the pedagogical challenges associated with protein structure and function. Focusing on the case of anaplastic lymphoma kinase (ALK) gene mutations in non-small-cell lung cancer (NSCLC), this study integrates AI into case-based learning (CBL) to develop an AI-CBL hybrid teaching model. This model features an intelligent case-generation system that dynamically constructs ALK mutation scenarios using real-world clinical data, closely linking molecular biology concepts with clinical applications. It incorporates AI-powered protein structure prediction tools to accurately visualize the three-dimensional structures of both wild-type and mutant ALK proteins, dynamically simulating functional abnormalities resulting from conformational changes. Additionally, a virtual simulation platform replicates the ALK gene detection workflow, bridging theoretical knowledge with practical skills. As a result, a multidimensional teaching system is established—driven by clinical cases and integrating molecular structural analysis with experimental validation. Teaching outcomes indicate that the three-dimensional visualization, dynamic interactivity, and intelligent analytical capabilities provided by AI significantly enhance students’ understanding of molecular mechanisms, classroom engagement, and capacity for innovative research. This model establishes a coherent training pathway linking “fundamental theory-scientific research thinking-clinical practice”, offering an effective approach to addressing teaching challenges and advancing the intelligent transformation of medical education.

OBJECTIVES: To evaluate the osteogenic efficacy of three-dimensional printing individualized titanium mesh (3D-PITM) as a scaffold material in guided bone regeneration (GBR). METHODS: 1) Patients undergoing GBR for alveolar bone defects were enrolled as study subjects, and postoperative healing complications were recorded. 2) Postoperative cone beam computed tomography (CBCT) scans acquired at least 6 months post-surgery were used to calculate the percentage of actual bone formation volume. 3) Alveolar bone specimens were collected during the first-stage implant surgery for histomorphometric analysis. This analysis quantitatively measured the proportions of newly formed bone and newly formed unmineralized bone within the specimens. Specimens were categorized into three groups based on healing complications (good healing group, wound dehiscence group, 3D-PITM exposure group) to compare differences in the proportions of newly formed bone and newly formed unmineralized bone. RESULTS: 1) Twelve patients were included. Guided bone regeneration failed in one patient, and 3D-PITM exposure occurred in three patients (exposure rate: 25%). 2) The mean percentage of actual bone formation volume in the 11 successful guided bone regeneration cases was 95.23%±28.85%. 3) Histomorphometric analysis revealed that newly formed bone constituted 40.35% of the alveolar bone specimens, with newly formed unmineralized bone accounting for 13.84% of the newly formed bone. Intergroup comparisons showed no statistically significant differences (P>0.05) in the proportions of newly formed bone or newly formed unmineralized bone between the good healing group and the wound dehiscence group or the 3D-PITM exposure group. CONCLUSIONS 3D-PITM enables effective bone augmentation. Radiographic assessment demonstrated favorable bone formation volume, while histological analysis confirmed substantial formation of newly formed mineralized bone within the surgical site.
Humans ; Printing, Three-Dimensional ; Titanium ; Cone-Beam Computed Tomography ; Bone Regeneration ; Osteogenesis ; Surgical Mesh ; Tissue Scaffolds ; Alveolar Process/surgery* ; Adult ; Male ; Middle Aged ; Female ; Wound Healing ; Guided Tissue Regeneration, Periodontal/methods* ; Alveolar Bone Loss/surgery*