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睡眠特征与多部位疼痛感知之间的因果关系:一项两样本孟德尔随机化研究。

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

作者信息

Yin Yulai, Zhang Xiaoyu

机构信息

Cangzhou Central Hospital, Hebei Medical University, Cangzhou, China.

Department of Thyroid and Breast Surgery III, Cangzhou Central Hospital, Cangzhou, China.

出版信息

Front Neurosci. 2024 Aug 13;18:1428951. doi: 10.3389/fnins.2024.1428951. eCollection 2024.

DOI:10.3389/fnins.2024.1428951
PMID:39193526
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11347297/
Abstract

OBJECTIVE

This Mendelian Randomization (MR) study aims to explore the potential causal relationships between four sleep traits and pain in 10 different body sites.

MATERIALS AND METHODS

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 Egger-intercept method for pleiotropy testing, leave-one-out sensitivity analysis, and calculation of F-statistics to assess the presence of weak instrument bias.

RESULTS

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.

CONCLUSION

This study elucidates the causal relationships between four sleep characteristics and pain across 10 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.

摘要

目的

本孟德尔随机化(MR)研究旨在探讨四种睡眠特征与10个不同身体部位疼痛之间的潜在因果关系。

材料与方法

本研究利用全基因组关联研究(GWAS)数据库中的暴露和结局数据,采用逆方差加权法(IVW)进行主要因果估计。使用IVW和MR-Egger方法进行Cochran Q和Rücker Q异质性检验,采用Egger截距法进行多效性检验、留一法敏感性分析,并计算F统计量以评估弱工具变量偏差的存在。

结果

研究表明,基因预测的失眠显著增加了未指定疼痛、胸痛、牙龈疼痛、上腹部疼痛和下腹部疼痛发生的风险。白天小睡与关节疼痛可能性的适度降低有关,但可能同时增加胸痛、上腹部疼痛和全身性腹痛的风险。睡眠类型和睡眠时间均未显示出与疼痛感知有明确的因果关系。

结论

本研究阐明了四种睡眠特征与10个不同身体部位疼痛之间的因果关系。总体而言,失眠和睡眠不足对多个身体部位疼痛的影响更为明显。相反,充足睡眠与躯体疼痛可能性之间的关联相对较低且不太显著。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/5ec6efe06293/fnins-18-1428951-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/ca6bae3bb27c/fnins-18-1428951-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/021e879df88a/fnins-18-1428951-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/cb68faa22ff0/fnins-18-1428951-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/5f0c594a8a67/fnins-18-1428951-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/ff1af61c6313/fnins-18-1428951-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/87f90747b9f8/fnins-18-1428951-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/51f48c81e9e3/fnins-18-1428951-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/5b2221fb37d4/fnins-18-1428951-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/5ec6efe06293/fnins-18-1428951-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/ca6bae3bb27c/fnins-18-1428951-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/021e879df88a/fnins-18-1428951-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/cb68faa22ff0/fnins-18-1428951-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/5f0c594a8a67/fnins-18-1428951-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/ff1af61c6313/fnins-18-1428951-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/87f90747b9f8/fnins-18-1428951-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/51f48c81e9e3/fnins-18-1428951-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/5b2221fb37d4/fnins-18-1428951-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf6/11347297/5ec6efe06293/fnins-18-1428951-g009.jpg

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