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.

The idea of disease prevention runs through the traditional medical diagnosis and treatment system,and also plays an important role in the prevention and treatment of gastric precancerous lesions.This article organically combines disease differentiation,syndrome differentiation,symptom differentiation,and constitution differentiation to form a four in one diagnosis and treatment model.Disease differentiation means identifying the name of the disease and grasping the progression stage of the disease;syndrome differentiation means combining the macroscopic and microscopic aspects to accurately grasp the pathogenesis;symptom differentiation means identifying complications and clinical problems that need to be solved urgently;constitution differentiation means predicting syn-drome type bias and disease development.This model not only enables systematic diagnosis and treatment of gastric precancerous le-sions,but also provides targeted diagnosis and treatment plans for patients,with the characteristics of comprehensiveness,full process,and personalization.Therefore,combining the four in one diagnosis and treatment model of disease differentiation-syndrome differentia-tion-symptom differentiation-constitution identification with the disease prevention theory is conducive to the early detection of gastric precancerous lesions,timely tracking of the progress of the lesions,and the adoption of correct,comprehensive,and full-process inter-vention methods to reverse gastric precancerous lesions,which can play a positive role in the diagnosis,treatment,and prevention of gastric precancerous lesions.

Objective To investigate the causal association of liver function and lipid metabolism levels with sleep disorders based on the Mendelian randomization analysis.Methods The analysis was conducted using the data from genome-wide association studies,with the exposure factors of liver function and lipid metabolism levels(alanine aminotransferase[ALT],aspartate aminotransferase[AST],gamma-glutamyl transpeptidase[GGT],albumin[Alb],serum total protein[TP],total bilirubin[TBil],alkaline phosphatase[ALP],triglyceride[TG],triglyceride-to-glycerol-3-phosphate[TG/G3P]ratio,total cholesterol[TC],high-density lipoprotein cholesterol[HDL-C],low-density lipoprotein cholesterol[LDL-C],poly-unsaturated fatty acids[PUFA],total fatty acids[TFA],PUFA/TFA ratio)and the outcome factor of sleep disorders(nonorganic).The regression models including inverse variance weighted,MR-Egger,Simple mode,weighted median,and Weighted mode were used to perform the Mendelian randomization analysis.Results Serum Alb(odds ratio[OR]=0.728,95%confidence interval[CI]:0.535-0.989,P＜0.05),HDL-C(OR=0.879,95%CI:0.784-0.986,P＜0.05),and PUFA/TFA ratio(OR=0.800,95%CI:0.642-0.998,P＜0.05)were negatively associated with sleep disorders,while TG/G3P ratio(OR=1.222,95%CI:1.044-1.431,P＜0.05)was positively associated with sleep disorders.The results of Mendelian randomization did not show a causal association of ALT,AST,GGT,TP,TBil,ALP,TG,TC,LDL-C,PUFA,and TFA with sleep disorders(all P＞0.05).The results of the MR-Egger intercept test showed no pleiotropy(P＞0.05),and Mendelian randomization was a valid method for causal inference in this study.Conclusion According to the results of the Mendelian randomization analysis,liver function and lipid metabolism show significant association with sleep disorders.Liver function and lipid metabolism can be used as indicators for predicting the risk of sleep disorders and performing intervention.

Children and adults differ significantly in physiology,biochemistry and immune function,which leads to sig-nificant differences in blood transfusion strategies between children and adults.To guide the clinical transfusion practice of pediatric patients and improve the prognosis of children,the National Health Commission organized the formulation and re-lease of the health industry standard Guideline for Pediatric Transfusion(WS/T 795-2022).This paper will briefly introduce some concepts that help understand of the Standard and the preparation process of the Standard,and explain and interpret the preparation of the"scope","general provisions"and"factors to consider"of the Standard,hoping to contribute to the understanding and implementation of the Standard.

Objective To explore the key of post-processing techniques for continuous and symmetrical display of cervical verte-bral bony structures using curve planar reformation(CPR).Methods Data from 150 patients who underwent cervical spine CT scans were collected and divided into three groups based on cervical curvature:normal,straightened,and kyphotic.A multi-slice CPR post-processing method was designed,using the display rate of structures such as C2/C3 to C6/C7 intervertebral foramina,uncovertebral joints,facet joints,and pedicles of vertebral arch as the measurement index to find the optimal site and angle for CPR baseline selection.Additionally,the consistency of the intervertebral foramen diameter and area measurements on both sides of the CPR baseline level,as well as the normal appearance of the cervical vertebral bony structures during baseline translation were observed.Results The optimal site for the CPR baseline was C4/C5 with a best angle of 100° for normal or straightened cervical curvature,and C5/C6 with a best angle of 100° for kyphotic curvature.At these baseline levels,the measurements of the longitudinal and transverse diameters,as well as the area,of the intervertebral foramina on both sides were similar,providing a valuable comparison.When translating the baseline forwards and backwards,CPR could continuously and symmetrically display the cervical vertebral bony structures clearly.Conclusion Performing multi-slice CPR image post-processing based on the aforementioned baseline sites and angles aids in the comparison of the left and right sides,facili-tating the convenient and intuitive detection of subtle abnormalities in cervical vertebral bony structures.

Bluetongue virus is an arbovirus that seriously harms ruminants such as sheep,this study aims to investigate the molecular mechanism of bluetongue virus infection and host cell interferon antiviral immune response.The study was conducted to characterize the mRNA expression of inter-feron pathway genes by real-time fluorescence quantitative PCR,as well as Western blot analysis of MDA5,TRAF3,RIG-Ⅰ,and TBK1 protein expression in BHK-21 cells induced by BTV with a multiplicity of infections(MOI)of 1 for 18,24,and 36 h.The results showed that the most pro-nounced changes in the expression of interferon signaling pathway genes were observed at 24 h of induction,the gene mRNA expression levels of the IFN-α,IFN-β,RIG-Ⅰ,TBK1,MDA5,VISA,and TRAF3 genes were upregulated.However,the mRNA expression levels of IKKε and TRAF6 genes were downregulated.At the protein level,MDA5 and TBK1 proteins were upregulated while RIG-1 and TRAF3 proteins were downregulated,which showed that BTV infection induces a typeⅠ interferon immune response in BHK-21 cells.This study lays the foundation for further exploring the antiviral immunity mechanism of IFN-Ⅰ signaling pathway regulatory genes in host cells infected with BTV infection.

Post-stroke urinary incontinence (PSUI) is a common complication in patients with stroke, affecting at least one-third of patients with stroke and seriously affecting their quality of life and rehabilitation process. This article reviews the pathogenesis, risk factors, and treatment of PSUI.