AUTHOR=Yin Yulai , Zhang Xiaoyu 

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

JOURNAL=Frontiers in Neuroscience

VOLUME=Volume 18 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2024.1428951

DOI=10.3389/fnins.2024.1428951

ISSN=1662-453X

ABSTRACT=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.