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 systematically elucidate the molecular mechanism of hesperetin in the treatment of heart failure by network pharmacology, molecular docking, and molecular dynamics, and to clarify its key targets and pathway regulatory networks.Methods:Potential targets of hesperetin were retrieved from the PubChem, Pharmmapper, SwissTargetPrediction, and Similarity ensemble approach databases. Heart failure-related targets were obtained from the OMIM, GeneCards, and TTD databases. Intersection targets were identified using Venny 2.1. A protein-protein interaction (PPI) network of potential targets was constructed using the STRING database and Cytoscape 3.9.0 software. Gene ontology (GO) functional and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses of key targets were performed using the Metascape database. Molecular docking was carried out using Autodock vina1.1.2. GROMACS (2024.03) was employed to conduct a 100 ns molecular dynamics simulation on the optimal affinity complex. The thermodynamic stability of the candidate complex during simulation was evaluated by analyzing the root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), and binding free energy. Data were analyzed by an independent sample t test or one-way analysis of variance. Results:A total of 356 related targets of hesperetin and 2 923 related targets of heart failure were screened, with 152 intersection targets identified as potential targets for hesperetin intervention in heart failure. PPI network topological analysis revealed key targets for hesperetin intervention in heart failure, including insulin-like growth factor 1, estrogen receptor 1 (ER1), cysteine aspartic acid specific protease-3, sarcoma proto-oncogene, matrix metalloproteinase 9 (MMP9), MMP2, Janus kinase 2 (JAK2), albumin, heat shock protein 90 alpha family class A member 1, epidermal growth factor receptor, and B-cell lymphoma-2 (Bcl-2). GO functional enrichment analysis indicated that biological processes were mainly enriched in response to hormone stimulation, positive regulation of cell migration, gland development, response to nutritional levels, regulation of system processes, and response to trauma. Molecular functions were primarily enriched in phosphotransferase activity, nuclear receptor activity, endopeptidase activity, kinase binding, heme binding, hormone binding and protease binding. Cellular components were mainly enriched in membrane-related structures such as vesicle cavity, membrane raft, vacuole cavity, receptor complex and extracellular matrix containing collagen. KEGG pathway enrichment analysis showed that these key targets were significantly enriched in lipid and atherosclerosis, diabetic cardiomyopathy, and the hypoxia-inducible factor-1 signaling pathway. Molecular docking results indicated that the binding energy of hesperetin to MMP9 (?46.442 kJ/mol) was significantly lower than that to other key targets. Molecular dynamics simulations revealed that the hesperetin-MMP9 complex maintained structural stability, with an average RMSD of 1.60 ?. The average RMSF values of MMP9 residues (0.83 ?) and ligand atoms (0.68 ?) indicated stable protein conformation and ligand-binding states. The Rg values of MMP9 [(15.04±0.60) ?] and hesperetin [(4.19±0.35) ?] showed minimal fluctuations, further supporting structural compactness. The total binding free energy of the hesperetin-MMP9 complex during the 100 ns simulation was (?142.3±6.3) kJ/mol, with minimal energy fluctuations, confirming that the complex remained structurally stable without significant energy transition throughout the simulation.Conclusions:Hesperetin may bind effectively to targets such as MMP9, JAK2, Bcl-2, and ER1, and form a stable complex with MMP9. It is suggested to influence biological processes related to lipids and signaling pathways such as atherosclerosis, diabetic cardiomyopathy, and hypoxia-inducible factor-1, thereby playing a role in heart failure intervention.

Objective To study the expression and clinical significance of neural Wiskott-Alrdich syndrome protein(N-WASP)in pla-centas with preeclampsia.Methods This study included a total of 65 pregnant women:15 in the early-onset preeclampsia group,15 in the early-onset control group,15 in the late-onset preeclampsia group,and 20 in the late-onset control group.Real-time fluorescence quan-titative PCR(RT-qPCR)was used to detect the relative expression of N-WASP mRNA in placental tissues.Western blotting and immu-nohistochemistry were used to detect the expression and position of N-WASP protein in placental tissues from each group.Results RT-qPCR revealed significantly lower N-WASP mRNA expression levels in the placental tissue of the early-onset preeclampsia group compared to those in the early-onset control group(0.50±0.19 vs.0.93±0.73,P＜0.05).The N-WASP mRNA expression levels in late-onset preeclampsia placenta were significantly lower than those in the late-onset control group(0.83±0.34 vs.1.15±0.34,P＜0.05).Western blotting revealed significantly lower N-WASP protein expression in the placental tissue of early-onset preeclampsia compared to that in the early-onset control group(0.35±0.17 vs.0.72±0.21,P＜0.05).The N-WASP protein expression in late-onset preeclampsia placenta was significantly lower than that in the late-onset control group(0.39±0.16 vs.0.76±0.20,P＜0.05).The N-WASP mRNA expression in the placenta negatively correlated with the occurrence of early-onset(r =-0.37,P = 0.042)and late-onset preeclampsia(r =-0.39,P = 0.019).Immunohistochemistry revealed that N-WASP protein was localized in the cytoplasm of syncytiotrophoblasts,cytotrophoblasts,villous stromal cells,and vascular endothelial cells.Conclusion The low expression of N-WASP may be closely associated with preeclampsia.

The pathogenesis of aplastic anemia(AA)is complex and associated with hematopoietic stem cell defect,abnormal bone marrow microenvironment,immune dysfunction,and somatic mutation,in which the immune mechanism plays an important role.This article reviews the pathogenesis of AA from the following aspects:regulatory T cell reduction,hematopoietic stem cell reduction caused by factor-related apoptosis/factor-related apoptosis ligand signaling pathway,aberrant target gene expression induced by inflammatory factor-stimulated microRNAs,and regulatory T cell dysfunction,so as to provide ideas and methods for clinical practice.

Objective To observe the value of deep learning model for automatically segmenting prostate on large-field T2WI based on integrated 68Ga-prostate specific membrane antigen(PSMA)PET/MRI.Methods Ninety male patients with prostate tumors who underwent 68Ga-PSMA PET/MRI were retrospectively enrolled and divided into training set(n=72)and validation set(n=18)at the ratio of 4∶1.Models were established based on 3D SegResNet and 3D Unet deep learning neural networks,respectively.Taken physicians'manual segmentation results as reference standards,the performances of models for segmenting the peripheral zone(PZ)and central zone(CZ)+transition zone(TZ)of prostate on large-field T2WI were evaluated.Results In both training and validation sets,the Dice similarity coefficient(DSC)of 3D SegResNet deep learning model for segmenting prostate on T 2WI were both higher than that of 3D Unet model(both P＜0.05),the 95％Hausdorff distance(HD95)of SegR esNet deep learning model for segmenting prostate CZ+TZ was lower than that of 3D Unet model(both P＜0.05),while DSC and HD95 of these 2 models for segmenting prostate CZ+TZ were superior to PZ(all P＜0.05).Conclusion 3D SegResNet deep learning model could be used to automatically segment prostate on large-field T2WI based on integrated 68Ga-PSMA PET/MRI.

Objective:To analyze the genetic etiology and prognosis in fetuses with increased nuchal translucency (NT) in order to assist in the clinical prenatal genetic counseling and diagnosis.Methods:This study retrospectively enrolled 1 658 cases of singleton pregnancy (<35 years old) receiving invasive prenatal diagnosis, including karyotype analysis and/or chromosome microarray analysis or copy number variation (CNV) sequencing, due to NT value ≥2.5 mm in the first trimester in Henan Provincial People's Hospital from August 2014 to December 2021. They were divided into different groups according to the thickness of NT (≥2.5-<3.0, ≥3.0-<3.5, ≥3.5-<4.5, ≥4.5-<5.5, ≥5.5-<6.5 and ≥6.5 mm groups) and abnormal ultrasound findings (isolated increased NT group, increased NT complicated by soft markers/non-severe structural abnormality group and increased NT complicated by severe structural abnormality group). The results of invasive prenatal diagnosis and pregnancy outcomes were compared between different groups using Chi-square test and trend Chi-square test. Results:The detection rates of numerical abnormalities of chromosomes were 15.8% (262/1 658) and 17.6% (252/1 431) when the NT thickness cut-off value were 2.5 mm or 3.0 mm, respectively. Overall, the detection rate of numerical abnormalities of chromosomes increased with thickness of NT ( χ2trend=180.75, P<0.001), ranging from 6.6% (44/671) in the NT≥2.5-<3.5 mm group to 45.6% (113/248) in the NT≥5.5 mm group. The incidence of pathogenic/likely pathogenic CNV(P/LP CNV) did not increased with NT thickness ( χ2trend=3.26, P=0.071), and the highest detection rate was observed in the NT≥4.5-<5.5 mm group (9.0%, 19/211). The detection rate of numerical abnormalities of chromosomes plus P/LP CNV in the isolated NT≥2.5-<3.0 mm group and NT≥3.0-<3.5 mm group were 5.3% (10/188) and 9.6% (36/375), respectively, however, the difference was not statistically significant ( χ2=3.06, P=0.080). The detection rates of numerical abnormalities of chromosomes plus P/LP CNV in the isolated NT≥3.5-<4.5 mm group and NT≥2.5-<3.0 mm complicated by soft markers/ non-severe structural abnormality group were 12.7% (52/410) and 24.1% (7/29), respectively, and the risk were 2.6 times (95% CI: 1.3-5.2) and 5.7 times (95% CI: 2.0-16.4) of the isolated NT≥2.5-<3.0 mm group, respectively. The pregnancy termination rate increased with the NT thickness ( χ2trend=304.42, P<0.001), ranging from 10.8% (23/212) in the NT≥2.5-<3.0 mm group to 90.7% (117/129) in the NT≥6.5 mm group. After exclusion of the pregnancies terminated due to numerical abnormalities of chromosomes and P/LP CNV, 87.6% (862/984) of the fetus with increased NT were born alive. Conclusions:The detection rate of numerical abnormalities of chromosomes increases with the thickness of NT. Invasive prenatal diagnosis is required for non-advance aged singleton pregnant women when fetuses present with isolated NT≥2.5 mm with or without soft markers/structural abnormalities.

Objective:To analyze clinical characteristics of and causative genes in two families with dystrophic epidermolysis bullosa, and to reveal the pathogenesis of the disease and mechanisms underlying phenotypic differences between patients.Methods:DNA was extracted from peripheral blood samples of members from two families with dystrophic epidermolysis bullosa, and subjected to high-throughput sequencing and Sanger sequencing.Results:The clinical manifestations of the 2 probands in the 2 families were consistent with the diagnosis of dystrophic epidermolysis bullosa, and the symptoms of the proband in family 1 were more serious than those of other patients in the family. Genetic testing showed that all patients in family 1 carried a mutation c.6082G>C (p.G2028R) in the COL7A1 gene, and the proband and her phenotypically normal mother and uncle also carried a splice-site mutation c.7068+2 (IVS91) T>G in the COL7A1 gene, both of which were first reported. The proband in family 2 carried the mutations c.6081_6082 ins C (p.G2028Rfs*71) and c.1892G>A (p.W631X, first reported) in the COL7A1 gene, which were inherited from her father and mother, respectively.Conclusion:The two pathogenic mutations may be the molecular mechanism underlying the severe clinical phenotype in the proband in family 1; the first reported mutations enriched the mutation spectrum of the COL7A1 gene.