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ORIGINAL RESEARCH article

Front. Neurol.
Sec. Stroke
Volume 15 - 2024 | doi: 10.3389/fneur.2024.1432878
This article is part of the Research Topic Blood-Based Cellular and Molecular Biomarkers in Acute Ischemic Stroke and Hemorrhagic Stroke - Volume II View all articles

The plasma lipids with different fatty acid chains are associated with the risk of hemorrhagic stroke: a Mendelian randomization study

Provisionally accepted
Xingkai Zhang Xingkai Zhang 1,2Qinghai Shi Qinghai Shi 2*Xiaoyu Zhu Xiaoyu Zhu 2,3*
  • 1 Xinjiang Medical University, Ürümqi, China
  • 2 Department of Clinical Laboratory Diagnostic Center, General Hospital of Xinjiang Military Command, Urumqi, China
  • 3 School of Medicine, Shihezi University, Shihezi, Xinjiang Uyghur Region, China

The final, formatted version of the article will be published soon.

    Background and Objective: Hemorrhagic stroke, characterized by acute bleeding due to cerebrovascular lesions, is associated with plasma lipids and endothelial damage. The causal relationship between genetic plasma lipid levels and hemorrhagic stroke remains unclear. This study employs a two-sample Mendelian randomization (MR) analysis to explore the causal relationship between plasma lipid profiles with different fatty acid chains and the risk of intracerebral and subarachnoid hemorrhage, the two main subtypes of hemorrhagic stroke.The datasets for exposure and outcome summary statistics were obtained from publicly available sources such as the GWAS Catalog, IEU OpenGWAS project, and FinnGen. The two-sample MR analysis was employed to initially assess the causal relationship between 179 plasma lipid species and the risk of intracerebral and subarachnoid hemorrhage in the Finnish population, leading to the identification of candidate lipids. The same methods were applied to reanalyze data from European populations and conduct a meta-analysis of the candidate lipids. The Inverse Variance Weighting (IVW) method served as the primary analysis for causal inference, with additional methods used for complementary analyses. Sensitivity analysis was conducted to clarify causal relationships and reduce biases.Results: Two analyses using Mendelian randomization were performed, followed by meta-analyses of the results. A causal relationship was established between 11 specific lipid species and the occurrence of intracerebral hemorrhage within the European population. Additionally, 5 distinct lipid species were associated with subarachnoid hemorrhage. Predominantly, lipids with linoleic acid and arachidonic acid side chains were identified. Notably, lipids containing arachidonic acid chains (C20:4) such as PC 18:1;0_20:4;0 consistently showed a decreased risk of both intracerebral hemorrhage (p < 0.001; OR(95% CI) = 0.892(0.835-0.954)) and subarachnoid hemorrhage (p = 0.002; OR(95% CI) = 0.794(0.689-0.916)). Conversely, lipids with linoleic acid chains (C18:2) were associated with an increased risk of intracerebral hemorrhage.This study identifies a potential causal relationship between lipids with different fatty acid side chains and the risk of intracerebral and subarachnoid hemorrhagic stroke, improving the understanding of the mechanisms behind the onset and progression of hemorrhagic stroke.

    Keywords: hemorrhagic stroke, Plasma lipids, Mendelian randomization, intracerebral hemorrhage, Subarachnoid Hemorrhage, PUFA

    Received: 14 May 2024; Accepted: 17 Jul 2024.

    Copyright: © 2024 Zhang, Shi and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Qinghai Shi, Department of Clinical Laboratory Diagnostic Center, General Hospital of Xinjiang Military Command, Urumqi, China
    Xiaoyu Zhu, Department of Clinical Laboratory Diagnostic Center, General Hospital of Xinjiang Military Command, Urumqi, China

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