Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Objective: To investigate sleep quality among patients with hypertension and diabetes, so as to provide the basis for improving the health of patients with chronic diseases. Methods: From May to August 2022, patients with hypertension and diabetes under the community management in 4 counties and cities (districts) of Shaoxing City, Zhejiang Province were recruited using a multi-stage stratified cluster random sampling method. Demographic information, disease history, smoking, alcohol consumption, physical activity and sleep quality were collected by questionnaire surveys, and blood pressure, fasting blood glucose and glycosylated hemoglobin were collected through physical examination and laboratory testing. The incidence of poor sleep quality symptoms (snoring/asphyxia/suffocation, difficulty falling asleep, night awakening, taking sleeping pills and early morning awakening) in patients with diabetes and hypertension was descriptively analyzed, and sleep quality was evaluated. Results: A total of 1 539 patients with hypertension and diabetes were surveyed, including 715 males (46.46%) and 824 females (53.54%). The patients had a mean age of (68.68±7.62) years. The proportions of night awakening, early morning awakening, snoring/asphyxia/suffocation, difficulty falling asleep and taking sleeping pills were 29.82%, 28.53%, 20.73%, 15.79% and 4.29%, respectively. The proportion of poor sleep quality was 66.54%. Employment status, smoking status, moderate/high intensity physical activity and blood pressure control were related to poor sleep quality (all P<0.05). Conclusion Poor sleep quality is common in patients with hypertension and diabetes, with the main symptoms being night awakening, early morning awakening, difficulty falling asleep and snoring/asphyxia/suffocation.

Objective: To investigate the situation of road traffic injuries (RTIs) among middle school students in Shaoxing City, Zhejiang Province, so as to provide the basis for implementation of interventions against RTIs among students. Methods: From 2021 to 2023, a multi-stage stratified cluster sampling method was used to select 82 junior high school classes and 89 senior high school classes in Shaoxing City as the survey population. Data on basic information, commuting travel, road safety behaviors and road safety knowledge awareness were collected through questionnaires, and the prevalence of RTIs in the past year was analyzed. Results: A total of 6 287 middle school students were surveyed, and 971 cases of RTIs were reported, with a reporting rate of 15.44%. The reporting rate of RTIs was higher in males than in females (17.68% vs. 13.34%, P<0.05). The reporting rate of RTIs was higher in high school students than in junior high school students (17.70% vs. 12.66%, P<0.05). The students who mainly walked to school (18.00%), walked 5 days a week (17.82%) and traveled with classmates (17.58%) had higher reporting rates of RTIs. Among those who walked for ≥20 minutes, the reporting rate of RTIs was higher in males than in females (P<0.05). Among different road safety behaviors, the reporting rate of RTIs was higher in males than in females who used electronic devices (P<0.05). The reporting rates of RTIs were relatively high among students who played for ≥10 minutes on the way (32.92%), crossed traffic lights directly when being late for school (41.54%) and crossed traffic barriers directly (30.67%). The reporting rate of RTIs among middle school students decreased with the increase of road safety knowledge scores (P<0.05). Conclusions Male students, high school students, students with road risky behaviors and with low awareness of road safety knowledge have higher reporting rates of RTIs. It is necessary to strengthen road safety knowledge education for students.

Background::Early detection of esophageal squamous cell carcinoma (ESCC) can considerably improve the prognosis of patients. Aberrant cell-free DNA (cfDNA) methylation signatures are a promising tool for detecting ESCC. However, available markers based on cell-free DNA methylation are still inadequate. This study aimed to identify ESCC-specific cfDNA methylation markers and evaluate the diagnostic performance in the early detection of ESCC.Methods::We performed whole-genome bisulfite sequencing (WGBS) for 24 ESCC tissues and their normal adjacent tissues. Based on the WGBS data, we identified 21,469,837 eligible CpG sites (CpGs). By integrating several methylation datasets, we identified several promising ESCC-specific cell-free DNA methylation markers. Finally, we developed a dual-marker panel based on methylated KCNA3 and OTOP2, and then, we evaluated its performance in our training and validation cohorts. Results::The ESCC diagnostic model constructed based on KCNA3 and OTOP2 had an AUC of 0.91 [95% CI: 0.85–0.95], and an optimal sensitivity and specificity of 84.91% and 94.32%, respectively, in the training cohort. In the independent validation cohort, the AUC was 0.88 [95% CI: 0.83–0.92], along with an optimal sensitivity of 81.5% and specificity of 92.9%. The model sensitivity for stage I–II ESCC was 78.4%, which was slightly lower than the sensitivity of the model (85.7%) for stage III–IV ESCC. Conclusion::The dual-target panel based on cfDNA showed excellent performance for detecting ESCC and might be an alternative strategy for screening ESCC.

Chronic refractory wound (CRW) is one of the most challengeable issues in clinic due to complex pathogenesis, long course of disease and poor prognosis. Experts need to conduct systematic summary for the diagnosis and treatment of CRW due to complex pathogenesis and poor prognosis, and standard guidelines for the diagnosis and treatment of CRW should be created. The Guideline forthe diagnosis and treatment of chronic refractory wounds in orthopedic trauma patients ( version 2023) was created by the expert group organized by the Chinese Association of Orthopedic Surgeons, Chinese Orthopedic Association, Chinese Society of Traumatology, and Trauma Orthopedics and Multiple Traumatology Group of Emergency Resuscitation Committee of Chinese Medical Doctor Association after the clinical problems were chosen based on demand-driven principles and principles of evidence-based medicine. The guideline systematically elaborated CRW from aspects of the epidemiology, diagnosis, treatment, postoperative management, complication prevention and comorbidity management, and rehabilitation and health education, and 9 recommendations were finally proposed to provide a reliable clinical reference for the diagnosis and treatment of CRW.

In the current clinical diagnosis, medical images have become an important basis for diagnosis, and different modes of medical images provide different tissue information and functional information. Single-mode images can only provide single diagnostic information, by which difficult and complicated diseases cannot be diagnosed, and comprehensive and accurate diagnostic results can be obtained only with the help of multiple diagnostic information. The multimodal fusion technology fuses multiple modes of medical images into single-mode images, and thus the single-mode images contain complementary information between multiple modes of images, so that sufficient information for clinical diagnosis can be obtained in a single image. In this paper, the multimodal medical image fusion methods are sorted into two types, namely the traditional fusion method and the fusion method based on deep learning.

Objective: To investigate the clustering of risk factors among populations at high risk of cardiovascular diseases in Shaoxing City, Zhejiang Province, so as to provide the evidence for formulating the cardiovascular disease control measures among populations at high risk of cardiovascular diseases. Methods: The populations with hypertension, diabetes, dyslipidemia and a history of cardio-cerebrovascular disease at ages of 35 to 70 years were sampled from 6 districts (counties) of Shaoxing City using a multi-stage cluster random sampling method from May to July 2021. Participants' demographics, history of disease, smoking, alcohol consumption and drug use were collected through questionnaires, and height, body weight and blood lipid were measured. The participants at high risk of cardiovascular diseases were enrolled, and the prevalence and clustering of five risk factors were investigated, including current smoking, current alcohol consumption, overweight/obesity, never exercise and daily sedentary duration of 3 hours and longer. Factors affecting the clustering of risk factors were identified with an ordinal logistic regression model. Results: Totally 1 695 participants were enrolled, including 940 men (55.46%) and 755 women (44.54%), with a mean age of (62.56±6.08) years old. There were 213 participants with a history of cardio-cerebrovascular disease (12.57%), and the prevalence of hypertension, diabetes and dyslipidemia was 78.53%, 61.95% and 46.78%, respectively, and there were 32.63% of participants with current smoking, 35.99% with current alcohol consumption, 49.38% with overweight/obesity, 62.12% with never exercise and 61.24% with daily sedentary duration of 3 hours and longer, respectively. There were 28.85% of participants with two risk factors, and 46.90% with three to five risk factors. Ordinal logistic regression analysis showed that male (OR=5.430, 95%CI: 4.389-6.726), and development of hypertension (OR=1.655, 95%CI: 1.313-2.090) led to present more numbers of clustering of risk factors, and annual household income of 20 000 to 50 000 Yuan (OR=0.620, 95%CI: 0.473-0.812), a history of cardio-cerebrovascular diseases (OR=0.430, 95%CI: 0.324-0.572), presence of diabetes (OR=0.592, 95%CI: 0.476-0.736) led to less numbers of clustering of risk factors among populations at high risk of cardiovascular diseases. Conclusions There is clustering of risk factors among populations at high risk of cardiovascular diseases in Shaoxing City. Men, income, history of cardio-cerebrovascular diseases, hypertension and diabetes are factors affecting the clustering of risk factors.