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

Abstract 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...

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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: Article in Journal/Newspaper
Language:English
Published: Ovid Technologies (Wolters Kluwer Health) 2020
Subjects:
Online Access:http://dx.doi.org/10.1097/j.pain.0000000000002052
https://journals.lww.com/10.1097/j.pain.0000000000002052
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spelling crovidcr:10.1097/j.pain.0000000000002052 2024-09-15T18:20:16+00:00 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 2020 http://dx.doi.org/10.1097/j.pain.0000000000002052 https://journals.lww.com/10.1097/j.pain.0000000000002052 en eng Ovid Technologies (Wolters Kluwer Health) http://creativecommons.org/licenses/by-nc-nd/4.0/ Pain volume 162, issue 2, page 600-608 ISSN 0304-3959 1872-6623 journal-article 2020 crovidcr https://doi.org/10.1097/j.pain.0000000000002052 2024-08-01T04:17:04Z Abstract 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. Article in Journal/Newspaper Newfoundland Ovid Pain 162 2 600 608
institution Open Polar
collection Ovid
op_collection_id crovidcr
language English
description Abstract 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 Article in Journal/Newspaper
author Liu, Ming
Xie, Zikun
Costello, Christie A.
Zhang, Weidong
Chen, Liujun
Qi, Dake
Furey, Andrew
Randell, Edward W.
Rahman, Proton
Zhai, Guangju
spellingShingle 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
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 Ovid Technologies (Wolters Kluwer Health)
publishDate 2020
url http://dx.doi.org/10.1097/j.pain.0000000000002052
https://journals.lww.com/10.1097/j.pain.0000000000002052
genre Newfoundland
genre_facet Newfoundland
op_source Pain
volume 162, issue 2, page 600-608
ISSN 0304-3959 1872-6623
op_rights http://creativecommons.org/licenses/by-nc-nd/4.0/
op_doi https://doi.org/10.1097/j.pain.0000000000002052
container_title Pain
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container_issue 2
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