ArticleBrain and behavior2025
Immune Cells and Intracerebral Hemorrhage: A Causal Investigation Through Mendelian Randomization.
Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Selective Kv1.3 inhibition promotes M2 microglial polarization, accelerates hematoma resolution, and improves neurological recovery following collagenase-induced spontaneous intracerebral hemorrhage in mice.Veterinary world · 2026Article
- Genetically prioritized plasma proteins in intracerebral hemorrhage identified by Mendelian randomization with functional evidence of neuronal vulnerability.American journal of translational research · 2026Article
- Combining Machine Learning, Single-Cell Sequencing Data, and Mendelian Randomization Studies to Explore the Correlation Between Ischemic Stroke and Inflammatory Pathway Genes.International journal of genomics · 2026Article
- The LINC00968/miR-194-5p Axis Exacerbates Neurological Dysfunction After Intracerebral Hemorrhage by Regulating Oxidative Stress and Neuroinflammation.Neurochemical research · 2025Article
- The role of immune cells in cirrhosis: evidence from a two-sample Mendelian randomization study.Scientific reports · 2025Article
- Dendritic cell-related gene signature in pancreatic cancer stratifies patient subtypes and implicates a KCTD14-TNF signaling axis.Frontiers in immunology · 2025Article
- Tumor associated macrophages in gastric cancer dual roles in immune evasion and clinical implications for targeted therapy.Frontiers in immunology · 2025Review
- Mapping the immunological landscape and emerging immunotherapeutic strategies in cervical cancer: a comprehensive review.Frontiers in oncology · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundThe involvement of immune cells in the pathophysiology of intracerebral hemorrhage (ICH) is becoming increasingly recognized, yet their specific causal contributions remain uncertain. The objective of this research is to uncover the potential causal interactions between diverse immune cells and ICH using Mendelian randomization (MR) analysis.
methodsGenetic variants associated with 731 immune cell traits were sourced from a comprehensive genome-wide association study (GWAS) involving 3757 participants. Summary statistics data for ICH were acquired from FinnGen, comprising 4056 ICH cases and 371,717 controls. The principal analytical tool utilized in our study was the inverse-variance weighted (IVW) method, incorporated as a key component of a two-sample MR approach. To mitigate potential biases and verify the stability of the conclusions drawn from the primary analytical methods, a series of sensitivity analyses were performed.
resultsMR analysis elucidated 33 immune cell traits with causal associations, comprising B cells (eight traits), conventional dendritic cells (cDC, two traits), maturation stages of T cells (two traits), monocytes (two traits), myeloid cells (five traits), TBNK cells (six traits), and regulatory T cells (Treg, eight traits). DP (CD4+CD8+) %T cell (OR = 0.83, CI = 0.72-0.96, p = 0.013) exhibited the strongest protective effect. In contrast, transitional AC (OR = 1.09, CI = 1.02-1.16, p = 0.006) and IgD- CD27- %lymphocyte (OR = 1.08, CI = 1.00-1.17, p = 0.045) showed a higher tendency to increase the ICH risk. The sensitivity analyses validated the robustness and consistency of these results.
conclusionOur research provides robust evidence substantiating the causal relationship between specific immunophenotypes and ICH risk. The identification of these findings significantly enhances our understanding of the pathogenic mechanisms underlying ICH, particularly pertaining to the immune system. This breakthrough paves the way for innovative clinical and pharmaceutical research opportunities, potentially promoting the development of targeted therapies and enhanced strategies for managing and preventing ICH.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.