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Exploring the bidirectional relationship between pain and mental disorders: a comprehensive Mendelian randomization study

BACKGROUND: The close relationship between pain and mental health problems is well-known, and psychological intervention can provide an effective alternative to medication-based pain relief. However, previous studies on the connection between pain and psychological problems, the findings thus far ha...

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Autores principales: Yao, Chongjie, Zhang, Yuchen, Lu, Ping, Xiao, Bin, Sun, Pingping, Tao, Jiming, Cheng, Yanbin, Kong, Lingjun, Xu, Dongsheng, Fang, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326936/
https://www.ncbi.nlm.nih.gov/pubmed/37415130
http://dx.doi.org/10.1186/s10194-023-01612-2
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author Yao, Chongjie
Zhang, Yuchen
Lu, Ping
Xiao, Bin
Sun, Pingping
Tao, Jiming
Cheng, Yanbin
Kong, Lingjun
Xu, Dongsheng
Fang, Min
author_facet Yao, Chongjie
Zhang, Yuchen
Lu, Ping
Xiao, Bin
Sun, Pingping
Tao, Jiming
Cheng, Yanbin
Kong, Lingjun
Xu, Dongsheng
Fang, Min
author_sort Yao, Chongjie
collection PubMed
description BACKGROUND: The close relationship between pain and mental health problems is well-known, and psychological intervention can provide an effective alternative to medication-based pain relief. However, previous studies on the connection between pain and psychological problems, the findings thus far have been inconclusive, limiting the potential for translating psychological interventions into clinical practice. To complement the gap, this study utilized genetic data and Mendelian randomization (MR) to examine the potential relationship between pain in different parts and common mental disorders. METHODS: Based on the instrumental variables selected from the Genome-wide association study summary statistics of localized pain and mental disorders, we conducted bidirectional two-sample MR analyses to infer bidirectional causal associations between pain and mental disorders. The inverse-variance weighted MR method and MR-Egger were used as the primary statistical method according to the horizontal pleiotropy and heterogeneity level. We reported the odds ratio to infer the causal effect between pain and mental disorders. F statistic was calculated to measure the statistical efficacy of the analyses. RESULTS: Insomnia is causally related to the genetic susceptibility of multisite pain including head (OR = 1.09, 95% CI: 1.06–1.12), neck/shoulder (OR = 1.12, 95% CI: 1.07–1.16), back (OR = 1.12, 95% CI: 1.07–1.18) and hip (OR = 1.08, 95% CI: 1.05–1.10). Reversely, headache (OR = 1.14, 95% CI: 1.05–1.24), neck/shoulder pain (OR = 1.95, 95% CI: 1.03–3.68), back pain (OR = 1.40, 95% CI: 1.22–1.60), and hip pain (OR = 2.29, 95% CI: 1.18–4.45) promote the genetic liability of insomnia. Depression is strongly associated with the predisposition of multisite pain including headache (OR = 1.28, 95% CI: 1.08–1.52), neck/shoulder pain (OR = 1.32, 95% CI: 1.16–1.50), back pain (OR = 1.35, 95% CI: 1.10–1.66) and stomach/abdominal pain (OR = 1.14, 95% CI: 1.05–1.25), while headache (OR = 1.06, 95% CI: 1.03–1.08), neck/shoulder (OR = 1.09, 95% CI: 1.01–1.17), back (OR = 1.08, 95% CI: 1.03–1.14), and stomach/abdominal pain (OR = 1.19, 95% CI: 1.11–1.26) are predisposing factors for depression. Additionally, insomnia is associated with the predisposition of facial, stomach/abdominal, and knee pain, anxiety was associated with the predisposition of neck/shoulder and back pain, while the susceptibilities of hip and facial pain are influenced by depression, but these associations were unidirectional. CONCLUSIONS: Our results enhance the understanding of the complex interplay between pain and mental health and highlight the importance of a holistic approach to pain management that addresses both physical and psychological factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10194-023-01612-2.
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spelling pubmed-103269362023-07-08 Exploring the bidirectional relationship between pain and mental disorders: a comprehensive Mendelian randomization study Yao, Chongjie Zhang, Yuchen Lu, Ping Xiao, Bin Sun, Pingping Tao, Jiming Cheng, Yanbin Kong, Lingjun Xu, Dongsheng Fang, Min J Headache Pain Research BACKGROUND: The close relationship between pain and mental health problems is well-known, and psychological intervention can provide an effective alternative to medication-based pain relief. However, previous studies on the connection between pain and psychological problems, the findings thus far have been inconclusive, limiting the potential for translating psychological interventions into clinical practice. To complement the gap, this study utilized genetic data and Mendelian randomization (MR) to examine the potential relationship between pain in different parts and common mental disorders. METHODS: Based on the instrumental variables selected from the Genome-wide association study summary statistics of localized pain and mental disorders, we conducted bidirectional two-sample MR analyses to infer bidirectional causal associations between pain and mental disorders. The inverse-variance weighted MR method and MR-Egger were used as the primary statistical method according to the horizontal pleiotropy and heterogeneity level. We reported the odds ratio to infer the causal effect between pain and mental disorders. F statistic was calculated to measure the statistical efficacy of the analyses. RESULTS: Insomnia is causally related to the genetic susceptibility of multisite pain including head (OR = 1.09, 95% CI: 1.06–1.12), neck/shoulder (OR = 1.12, 95% CI: 1.07–1.16), back (OR = 1.12, 95% CI: 1.07–1.18) and hip (OR = 1.08, 95% CI: 1.05–1.10). Reversely, headache (OR = 1.14, 95% CI: 1.05–1.24), neck/shoulder pain (OR = 1.95, 95% CI: 1.03–3.68), back pain (OR = 1.40, 95% CI: 1.22–1.60), and hip pain (OR = 2.29, 95% CI: 1.18–4.45) promote the genetic liability of insomnia. Depression is strongly associated with the predisposition of multisite pain including headache (OR = 1.28, 95% CI: 1.08–1.52), neck/shoulder pain (OR = 1.32, 95% CI: 1.16–1.50), back pain (OR = 1.35, 95% CI: 1.10–1.66) and stomach/abdominal pain (OR = 1.14, 95% CI: 1.05–1.25), while headache (OR = 1.06, 95% CI: 1.03–1.08), neck/shoulder (OR = 1.09, 95% CI: 1.01–1.17), back (OR = 1.08, 95% CI: 1.03–1.14), and stomach/abdominal pain (OR = 1.19, 95% CI: 1.11–1.26) are predisposing factors for depression. Additionally, insomnia is associated with the predisposition of facial, stomach/abdominal, and knee pain, anxiety was associated with the predisposition of neck/shoulder and back pain, while the susceptibilities of hip and facial pain are influenced by depression, but these associations were unidirectional. CONCLUSIONS: Our results enhance the understanding of the complex interplay between pain and mental health and highlight the importance of a holistic approach to pain management that addresses both physical and psychological factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10194-023-01612-2. Springer Milan 2023-07-07 /pmc/articles/PMC10326936/ /pubmed/37415130 http://dx.doi.org/10.1186/s10194-023-01612-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yao, Chongjie
Zhang, Yuchen
Lu, Ping
Xiao, Bin
Sun, Pingping
Tao, Jiming
Cheng, Yanbin
Kong, Lingjun
Xu, Dongsheng
Fang, Min
Exploring the bidirectional relationship between pain and mental disorders: a comprehensive Mendelian randomization study
title Exploring the bidirectional relationship between pain and mental disorders: a comprehensive Mendelian randomization study
title_full Exploring the bidirectional relationship between pain and mental disorders: a comprehensive Mendelian randomization study
title_fullStr Exploring the bidirectional relationship between pain and mental disorders: a comprehensive Mendelian randomization study
title_full_unstemmed Exploring the bidirectional relationship between pain and mental disorders: a comprehensive Mendelian randomization study
title_short Exploring the bidirectional relationship between pain and mental disorders: a comprehensive Mendelian randomization study
title_sort exploring the bidirectional relationship between pain and mental disorders: a comprehensive mendelian randomization study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326936/
https://www.ncbi.nlm.nih.gov/pubmed/37415130
http://dx.doi.org/10.1186/s10194-023-01612-2
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