Metabolomic analysis coupled with extreme phenotype sampling identified that lysophosphatidylcholines are associated with multisite musculoskeletal pain

Musculoskeletal pain often occurs simultaneously at multiple anatomical sites. The aim of the study was to identify metabolic biomarkers for multisite musculoskeletal pain (MSMP) by metabolomics with an extreme phenotype sampling strategy. The study participants (n = 610) were derived from the Newfo...

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Published in:Pain
Main Authors: Liu, Ming, Xie, Zikun, Costello, Christie A., Zhang, Weidong, Chen, Liujun, Qi, Dake, Furey, Andrew, Randell, Edward W., Rahman, Proton, Zhai, Guangju
Format: Text
Language:English
Published: Wolters Kluwer 2021
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808366/
http://www.ncbi.nlm.nih.gov/pubmed/32833795
https://doi.org/10.1097/j.pain.0000000000002052
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spelling ftpubmed:oai:pubmedcentral.nih.gov:7808366 2023-05-15T17:22:45+02:00 Metabolomic analysis coupled with extreme phenotype sampling identified that lysophosphatidylcholines are associated with multisite musculoskeletal pain Liu, Ming Xie, Zikun Costello, Christie A. Zhang, Weidong Chen, Liujun Qi, Dake Furey, Andrew Randell, Edward W. Rahman, Proton Zhai, Guangju 2021-02 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808366/ http://www.ncbi.nlm.nih.gov/pubmed/32833795 https://doi.org/10.1097/j.pain.0000000000002052 en eng Wolters Kluwer http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808366/ http://www.ncbi.nlm.nih.gov/pubmed/32833795 http://dx.doi.org/10.1097/j.pain.0000000000002052 Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the International Association for the Study of Pain. This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. CC-BY-NC-ND Pain Research Paper Text 2021 ftpubmed https://doi.org/10.1097/j.pain.0000000000002052 2021-01-31T01:24:36Z Musculoskeletal pain often occurs simultaneously at multiple anatomical sites. The aim of the study was to identify metabolic biomarkers for multisite musculoskeletal pain (MSMP) by metabolomics with an extreme phenotype sampling strategy. The study participants (n = 610) were derived from the Newfoundland Osteoarthritis Study. Musculoskeletal pain was assessed using a self-reported pain questionnaire where painful sites were circled on a manikin by participants and the total number of painful sites were calculated. Targeted metabolomic profiling on fasting plasma samples was performed using the Biocrates AbsoluteIDQ p180 kit. Plasma cytokine concentrations including tumor necrosis factor-α, interleukin-6, interleukin-1β, and macrophage migration inhibitory factor were assessed by enzyme-linked immunosorbent assay. Data on blood cholesterol profiles were retrieved from participants' medical records. Demographic, anthropological, and clinical information was self-reported. The number of reported painful sites ranged between 0 and 21. Two hundred and five participants were included in the analysis comprising 83 who had ≥7 painful sites and 122 who had ≤1 painful site. Women and younger people were more likely to have MSMP (P ≤ 0.02). Multisite musculoskeletal pain was associated with a higher risk of having incontinence, worse functional status and longer period of pain, and higher levels of low-density lipoprotein and non–high-density lipoprotein cholesterol (all P ≤ 0.03). Among the 186 metabolites measured, 2 lysophosphatidylcholines, 1 with 26 carbons with no double bond and 1 with 28 carbons with 1 double bond, were significantly and positively associated with MSMP after adjusting for multiple testing with the Bonferroni method (P ≤ 0.0001) and could be considered as novel metabolic markers for MSMP. Text Newfoundland PubMed Central (PMC) Pain 162 2 600 608
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Paper
spellingShingle Research Paper
Liu, Ming
Xie, Zikun
Costello, Christie A.
Zhang, Weidong
Chen, Liujun
Qi, Dake
Furey, Andrew
Randell, Edward W.
Rahman, Proton
Zhai, Guangju
Metabolomic analysis coupled with extreme phenotype sampling identified that lysophosphatidylcholines are associated with multisite musculoskeletal pain
topic_facet Research Paper
description Musculoskeletal pain often occurs simultaneously at multiple anatomical sites. The aim of the study was to identify metabolic biomarkers for multisite musculoskeletal pain (MSMP) by metabolomics with an extreme phenotype sampling strategy. The study participants (n = 610) were derived from the Newfoundland Osteoarthritis Study. Musculoskeletal pain was assessed using a self-reported pain questionnaire where painful sites were circled on a manikin by participants and the total number of painful sites were calculated. Targeted metabolomic profiling on fasting plasma samples was performed using the Biocrates AbsoluteIDQ p180 kit. Plasma cytokine concentrations including tumor necrosis factor-α, interleukin-6, interleukin-1β, and macrophage migration inhibitory factor were assessed by enzyme-linked immunosorbent assay. Data on blood cholesterol profiles were retrieved from participants' medical records. Demographic, anthropological, and clinical information was self-reported. The number of reported painful sites ranged between 0 and 21. Two hundred and five participants were included in the analysis comprising 83 who had ≥7 painful sites and 122 who had ≤1 painful site. Women and younger people were more likely to have MSMP (P ≤ 0.02). Multisite musculoskeletal pain was associated with a higher risk of having incontinence, worse functional status and longer period of pain, and higher levels of low-density lipoprotein and non–high-density lipoprotein cholesterol (all P ≤ 0.03). Among the 186 metabolites measured, 2 lysophosphatidylcholines, 1 with 26 carbons with no double bond and 1 with 28 carbons with 1 double bond, were significantly and positively associated with MSMP after adjusting for multiple testing with the Bonferroni method (P ≤ 0.0001) and could be considered as novel metabolic markers for MSMP.
format Text
author Liu, Ming
Xie, Zikun
Costello, Christie A.
Zhang, Weidong
Chen, Liujun
Qi, Dake
Furey, Andrew
Randell, Edward W.
Rahman, Proton
Zhai, Guangju
author_facet Liu, Ming
Xie, Zikun
Costello, Christie A.
Zhang, Weidong
Chen, Liujun
Qi, Dake
Furey, Andrew
Randell, Edward W.
Rahman, Proton
Zhai, Guangju
author_sort Liu, Ming
title Metabolomic analysis coupled with extreme phenotype sampling identified that lysophosphatidylcholines are associated with multisite musculoskeletal pain
title_short Metabolomic analysis coupled with extreme phenotype sampling identified that lysophosphatidylcholines are associated with multisite musculoskeletal pain
title_full Metabolomic analysis coupled with extreme phenotype sampling identified that lysophosphatidylcholines are associated with multisite musculoskeletal pain
title_fullStr Metabolomic analysis coupled with extreme phenotype sampling identified that lysophosphatidylcholines are associated with multisite musculoskeletal pain
title_full_unstemmed Metabolomic analysis coupled with extreme phenotype sampling identified that lysophosphatidylcholines are associated with multisite musculoskeletal pain
title_sort metabolomic analysis coupled with extreme phenotype sampling identified that lysophosphatidylcholines are associated with multisite musculoskeletal pain
publisher Wolters Kluwer
publishDate 2021
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808366/
http://www.ncbi.nlm.nih.gov/pubmed/32833795
https://doi.org/10.1097/j.pain.0000000000002052
genre Newfoundland
genre_facet Newfoundland
op_source Pain
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808366/
http://www.ncbi.nlm.nih.gov/pubmed/32833795
http://dx.doi.org/10.1097/j.pain.0000000000002052
op_rights Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the International Association for the Study of Pain.
This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
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op_doi https://doi.org/10.1097/j.pain.0000000000002052
container_title Pain
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