Brain-predicted age difference mediates the association between PROMIS sleep impairment, and self-reported pain measure in persons with knee pain

Knee pain, the most common cause of musculoskeletal pain (MSK), constitutes a severe public health burden. Its neurobiological causes, however, remain poorly understood. Among many possible causes, it has been proposed that sleep problems could lead to an increase in chronic pain symptomatology, whi...

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Main Authors: Soamy Montesino-Goicolea, Pedro Valdes-Hernandez, Chavier Laffitte Nodarse, Alisa J. Johnson, James H. Cole, Lisa H. Antoine, Burel R. Goodin, Roger B. Fillingim, Yenisel Cruz-Almeida
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Aging Brain
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2589958923000257
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author Soamy Montesino-Goicolea
Pedro Valdes-Hernandez
Chavier Laffitte Nodarse
Alisa J. Johnson
James H. Cole
Lisa H. Antoine
Burel R. Goodin
Roger B. Fillingim
Yenisel Cruz-Almeida
author_facet Soamy Montesino-Goicolea
Pedro Valdes-Hernandez
Chavier Laffitte Nodarse
Alisa J. Johnson
James H. Cole
Lisa H. Antoine
Burel R. Goodin
Roger B. Fillingim
Yenisel Cruz-Almeida
author_sort Soamy Montesino-Goicolea
collection DOAJ
description Knee pain, the most common cause of musculoskeletal pain (MSK), constitutes a severe public health burden. Its neurobiological causes, however, remain poorly understood. Among many possible causes, it has been proposed that sleep problems could lead to an increase in chronic pain symptomatology, which may be driven by central nervous system changes. In fact, we previously found that brain cortical thickness mediated the relationship between sleep qualities and pain severity in older adults with MSK. We also demonstrated a significant difference in a machine-learning-derived brain-aging biomarker between participants with low-and high-impact knee pain. Considering this, we examined whether brain aging was associated with self-reported sleep and pain measures, and whether brain aging mediated the relationship between sleep problems and knee pain. Exploratory Spearman and Pearson partial correlations, controlling for age, sex, race and study site, showed a significant association of brain aging with sleep related impairment and self-reported pain measures. Moreover, mediation analysis showed that brain aging significantly mediated the effect of sleep related impairment on clinical pain and physical symptoms. Our findings extend our prior work demonstrating advanced brain aging among individuals with chronic pain and the mediating role of brain-aging on the association between sleep and pain severity. Future longitudinal studies are needed to further understand whether the brain can be a therapeutic target to reverse the possible effect of sleep problems on chronic pain.
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spelling doaj.art-ca4c131fe95b41679e52f865c2fbeae12023-12-04T05:23:54ZengElsevierAging Brain2589-95892023-01-014100088Brain-predicted age difference mediates the association between PROMIS sleep impairment, and self-reported pain measure in persons with knee painSoamy Montesino-Goicolea0Pedro Valdes-Hernandez1Chavier Laffitte Nodarse2Alisa J. Johnson3James H. Cole4Lisa H. Antoine5Burel R. Goodin6Roger B. Fillingim7Yenisel Cruz-Almeida8Pain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States; Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United StatesPain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States; Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United StatesPain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States; Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United StatesPain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States; Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United StatesCentre for Medical Image Computing, Department of Computer Science, University College London, UK; Dementia Research Centre, Institute of Neurology, University College London, UKDepartment of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, United StatesDepartment of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, United StatesPain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States; Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United States; Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, United StatesPain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States; Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United States; Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, United States; Corresponding author at: PO Box 103628, 1329 SW 16th Street, Ste 5180 (zip 32608), Gainesville, FL 32610, United States.Knee pain, the most common cause of musculoskeletal pain (MSK), constitutes a severe public health burden. Its neurobiological causes, however, remain poorly understood. Among many possible causes, it has been proposed that sleep problems could lead to an increase in chronic pain symptomatology, which may be driven by central nervous system changes. In fact, we previously found that brain cortical thickness mediated the relationship between sleep qualities and pain severity in older adults with MSK. We also demonstrated a significant difference in a machine-learning-derived brain-aging biomarker between participants with low-and high-impact knee pain. Considering this, we examined whether brain aging was associated with self-reported sleep and pain measures, and whether brain aging mediated the relationship between sleep problems and knee pain. Exploratory Spearman and Pearson partial correlations, controlling for age, sex, race and study site, showed a significant association of brain aging with sleep related impairment and self-reported pain measures. Moreover, mediation analysis showed that brain aging significantly mediated the effect of sleep related impairment on clinical pain and physical symptoms. Our findings extend our prior work demonstrating advanced brain aging among individuals with chronic pain and the mediating role of brain-aging on the association between sleep and pain severity. Future longitudinal studies are needed to further understand whether the brain can be a therapeutic target to reverse the possible effect of sleep problems on chronic pain.http://www.sciencedirect.com/science/article/pii/S2589958923000257AgingSleep impairmentChronic painBrain ageDeepBrainNet
spellingShingle Soamy Montesino-Goicolea
Pedro Valdes-Hernandez
Chavier Laffitte Nodarse
Alisa J. Johnson
James H. Cole
Lisa H. Antoine
Burel R. Goodin
Roger B. Fillingim
Yenisel Cruz-Almeida
Brain-predicted age difference mediates the association between PROMIS sleep impairment, and self-reported pain measure in persons with knee pain
Aging Brain
Aging
Sleep impairment
Chronic pain
Brain age
DeepBrainNet
title Brain-predicted age difference mediates the association between PROMIS sleep impairment, and self-reported pain measure in persons with knee pain
title_full Brain-predicted age difference mediates the association between PROMIS sleep impairment, and self-reported pain measure in persons with knee pain
title_fullStr Brain-predicted age difference mediates the association between PROMIS sleep impairment, and self-reported pain measure in persons with knee pain
title_full_unstemmed Brain-predicted age difference mediates the association between PROMIS sleep impairment, and self-reported pain measure in persons with knee pain
title_short Brain-predicted age difference mediates the association between PROMIS sleep impairment, and self-reported pain measure in persons with knee pain
title_sort brain predicted age difference mediates the association between promis sleep impairment and self reported pain measure in persons with knee pain
topic Aging
Sleep impairment
Chronic pain
Brain age
DeepBrainNet
url http://www.sciencedirect.com/science/article/pii/S2589958923000257
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