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ORIGINAL RESEARCH article

Front. Neurosci.
Sec. Sleep and Circadian Rhythms
Volume 18 - 2024 | doi: 10.3389/fnins.2024.1428951

The causal relationship between sleep characteristics and multi-site pain perception: A two-sample Mendelian randomization study

Provisionally accepted
Yulai YIN Yulai YIN 1*Xiaoyu Zhang Xiaoyu Zhang 2*
  • 1 Hebei Medical University, Shijiazhuang, China
  • 2 Cangzhou Central Hospital, Cangzhou, Hebei, China

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

    Objective: This Mendelian Randomization (MR) study aims to explore the potential causal relationships between four sleep traits and pain in ten different body sites.The study utilizes exposure and outcome data from the GWAS database, employing the Inverse Variance Weighting Method (IVW) for primary causal estimates. Cochran Q and Rücker Q heterogeneity tests are conducted using IVW and MR-Egger methods, with the Eggerintercept method for pleiotropy testing, leave-one-out sensitivity analysis, and calculation of Fstatistics to assess the presence of weak instrument bias.The study reveals that genetically predicted insomnia significantly increases the risk of unspecified pain, chest pain, gum pain, upper abdominal pain, and lower abdominal pain occurrence.Daytime napping is associated with a moderate reduction in the likelihood of joint pain but may concomitantly elevate the risk of chest pain, upper abdominal pain, and generalized abdominal pain.Neither sleep chronotype nor sleep duration demonstrated a definitive causal relationship with pain perception.This study elucidates the causal relationships between four sleep characteristics and pain across ten different body regions. Overall, the contribution of insomnia and sleep deficiency to pain in multiple body regions is more pronounced. Conversely, the association between adequate sleep and the likelihood of somatic pain is relatively lower and less significant.

    Keywords: Sleep traits, Pain, Mendelian randomization, Instrumental variables, Single nucleotide polymorphisms

    Received: 14 May 2024; Accepted: 31 Jul 2024.

    Copyright: © 2024 YIN and Zhang. 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:
    Yulai YIN, Hebei Medical University, Shijiazhuang, China
    Xiaoyu Zhang, Cangzhou Central Hospital, Cangzhou, 061001, Hebei, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.