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Introduction: The complex and unresolved pathogenesis of schizophrenia has posed significant challenges to its diagnosis and treatment. While recent research has established a clear association between immune function and schizophrenia, the causal relationship between the two remains elusive.
Methods: We employed a bidirectional two-sample Mendelian randomization approach to investigate the causal relationship between schizophrenia and 731 immune cell traits by utilizing public GWAS data. We further validated the causal relationship between schizophrenia and six types of white cell measures.
Results: We found the overall causal effects of schizophrenia on immune cell traits were significantly higher than the reverse ones (0.011 ± 0.049 vs 0.001 ± 0.016, p < 0.001), implying that disease may lead to an increase in immune cells by itself. We also identified four immune cell traits that may increase the risk of schizophrenia: CD11c+ monocyte %monocyte (odds ratio (OR): 1.06, 95% confidence interval (CI): 1.03~1.09, FDR = 0.027), CD11c+ CD62L- monocyte %monocyte (OR:1.06, 95% CI: 1.03~1.09, FDR = 0.027), CD25 on IgD+ CD38- naive B cell (OR:1.03, 95% CI:1.01~1.06, FDR = 0.042), and CD86 on monocyte (OR = 1.04, 95% CI:1.01~1.06, FDR = 0.042). However, we did not detect any significant causal effects of schizophrenia on immune cell traits. Using the white blood cell traits data, we identified that schizophrenia increases the lymphocyte counts (OR:1.03, 95%CI: 1.01-1.04, FDR = 0.007), total white blood cell counts (OR:1.02, 95%CI: 1.01-1.04, FDR = 0.021) and monocyte counts (OR:1.02, 95%CI: 1.00-1.03, FDR = 0.034). The lymphocyte counts were nominally associated with the risk of schizophrenia (OR:1.08,95%CI:1.01-1.16, P=0.019).
Discussion: Our study found that the causal relationship between schizophrenia and the immune system is complex, enhancing our understanding of the role of immune regulation in the development of this disorder. These findings offer new insights for exploring diagnostic and therapeutic options for schizophrenia.
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http://dx.doi.org/10.3389/fimmu.2024.1452214 | DOI Listing |
Urol Oncol
September 2025
Nutritional, Genes and Human Disease Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh. Electronic address:
Background: Understanding the mutational landscape is critical for elucidating the molecular mechanisms driving cancer progression. This study aimed to profile somatic mutations in bladder cancer patients (N=7) from Bangladesh to provide insights into the genetic alterations underlying this malignancy.
Methods: We performed targeted sequencing of 50 oncogenes and tumor suppressor genes using the Ion AmpliSeq Cancer Hotspot Panel v2 on tumor and matched blood samples from seven bladder cancer patients.
Introduction: The present study examined whether college students could be categorized into distinct subgroups that differed in their distracted driving and walking frequencies.
Method: A sample of 277 college students participated in this study. They completed an online survey measuring their frequencies of distracted driving and walking, trait impulsivity (relatively stable characteristics of individuals to act spontaneously without considering the potential consequences), and behavioral impulsivity (process-oriented construct reflecting impulsive decision-making).
J Allergy Clin Immunol
September 2025
Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA. Electronic address:
Background: Genetic control of gene expression in asthma-related tissues is not well-characterized, particularly for African-ancestry populations, limiting advancement in our understanding of the increased prevalence and severity of asthma in those populations.
Objective: To create novel transcriptome prediction models for asthma tissues (nasal epithelium and CD4+ T cells) and apply them in transcriptome-wide association study to discover candidate asthma genes.
Methods: We developed and validated gene expression prediction databases for unstimulated CD4+ T cells and nasal epithelium using an elastic net framework.
Brain Behav Immun
September 2025
Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address:
Background: The proteome is a valuable resource for pinpointing therapeutic targets. Therefore, we conducted a proteome-wide Mendelian randomization (MR) study aimed at identifying potential protein markers and therapeutic targets for Anti-N-Methyl-D-Aspartate Receptor Encephalitis (NMDAR-E).
Methods: Protein quantitative trait loci (pQTLs) were obtained from seven published genome-wide association studies (GWASs) focusing on the plasma proteome, resulting in summary-level data for 734 circulating protein markers.
Sci Adv
September 2025
Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.
Grain size substantially influences rice quality and yield. In this study, we identified (), a quantitative trait locus encoding an F-box protein that enhances grain length by promoting cell proliferation. The transcription factor OsbZIP35 represses expression, while COR1 interacts with OsTCP19, leading to its degradation.
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