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ORIGINAL RESEARCH article

Front. Neurol.
Sec. Stroke
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1434740
This article is part of the Research Topic Advances and controversies in ischemic stroke management: from prevention to diagnosis and acute treatment View all 94 articles

The association between Basal Metabolic Rate and Ischemic Stroke: a Mendelian Randomization Study

Provisionally accepted
Yizhou Chen Yizhou Chen 1,2,3Xiahui Zhang Xiahui Zhang 1,2,3*Meifang Liu Meifang Liu 1,2,3*Yi Zhang Yi Zhang 4*Song Li Song Li 1*Li Zhou Li Zhou 1*Xiaolin Yang Xiaolin Yang 1*Xu Chen Xu Chen 1*Mengqi Yue Mengqi Yue 1*Qi Qu Qi Qu 5Yong Qiu Yong Qiu 6*Jing Shi Jing Shi 1,2,3*
  • 1 Second Clinical Medical College, Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan Province, China
  • 2 Department of Acupuncture and Moxibustion, First Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan Province, China
  • 3 Department of Acupuncture and Moxibustion, Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, Yunnan Province, China
  • 4 Qingdao Central Hospital, Qingdao, Shandong Province, China
  • 5 Hubei Minzu University, Enshi, China
  • 6 Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan Province, China

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

    Objective: This study aims to elucidate the potential impact of basal metabolic rate on ischemic stroke at the genetic prediction level through a two-sample Mendelian randomization analysis.Methods: Using summary data from genome-wide association studies, we obtained information on basal metabolic rate and ischemic stroke from a large-scale genome-wide association study.MR analysis used inverse variance weighting, weighted median, MR-Egger, simple mode, and weighted estimation. Sensitivity analyses, including the MR-Egger method, MR-PRESSO, Cochran's Q-test, and leave-one-out assessment, were performed to assess the reliability of the results.: Genetic susceptibility to basal metabolic rate was significantly associated with ischemic stroke in multiple models, including the inverse variance weighting model (OR, 1.108 [95% CI: 1.005-1.221]; p=0.0392), the weighted median method (OR, 1.179 [95% CI: 1.020-1.363]; p=0.0263), and MR-Egger (OR, 1.291 [95% CI: 1.002-1.663]; p=0.0491). These results indicate a positive causal relationship between basal metabolic rate and ischemic stroke. The MR-Egger intercept and Cochran's Q-test indicated the absence of heterogeneity and horizontal pleiotropy in the analyses of basal metabolic rate and ischemic stroke.The MR analysis suggests a positive correlation between basal metabolic rate and ischemic stroke.

    Keywords: basal metabolic rate, ischemic stroke, causal relationship, Mendelian randomization, MR analysis

    Received: 18 May 2024; Accepted: 16 Jan 2025.

    Copyright: © 2025 Chen, Zhang, Liu, Zhang, Li, Zhou, Yang, Chen, Yue, Qu, Qiu and Shi. 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:
    Xiahui Zhang, Department of Acupuncture and Moxibustion, Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, Yunnan Province, China
    Meifang Liu, Department of Acupuncture and Moxibustion, First Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, Kunming, 650221, Yunnan Province, China
    Yi Zhang, Qingdao Central Hospital, Qingdao, 266000, Shandong Province, China
    Song Li, Second Clinical Medical College, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, Yunnan Province, China
    Li Zhou, Second Clinical Medical College, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, Yunnan Province, China
    Xiaolin Yang, Second Clinical Medical College, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, Yunnan Province, China
    Xu Chen, Second Clinical Medical College, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, Yunnan Province, China
    Mengqi Yue, Second Clinical Medical College, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, Yunnan Province, China
    Yong Qiu, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, Yunnan Province, China
    Jing Shi, Department of Acupuncture and Moxibustion, First Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, Kunming, 650221, Yunnan Province, China

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