A genetic polymorphism that is associated with mitochondrial energy metabolism increases risk of fibromyalgia.

Abstract

Alterations in cellular energy metabolism have been implicated in chronic pain, suggesting a role for mitochondrial DNA. Previous studies reported associations of a limited number of mitochondrial DNA polymorphisms with specific pain conditions. In this study, we examined the full mitochondrial genomes of people with a variety of chronic pain conditions. A discovery cohort consisting of 609 participants either with or without a complex persistent pain conditions (CPPCs) was examined. Mitochondrial DNA was subjected to deep sequencing for identification of rare mutations, common variants, haplogroups, and heteroplasmy associated with 5 CPPCs: episodic migraine, irritable bowel syndrome, fibromyalgia, vulvar vestibulitis, or temporomandibular disorders. The strongest association found was the presence of the C allele at the single nucleotide polymorphism m.2352T>C (rs28358579) that significantly increased the risk for fibromyalgia (odds ratio [OR] = 4.6, P = 4.3 × 10). This relationship was even stronger in women (OR = 5.1, P = 2.8 × 10), and m.2352T>C was associated with all other CPPCs in a consistent risk-increasing fashion. This finding was replicated in another cohort (OR = 4.3, P = 2.6 × 10) of the Orofacial Pain: Prospective Evaluation and Risk Assessment study consisting of 1754 female participants. To gain insight into the cellular consequences of the associated genetic variability, we conducted an assay testing metabolic reprogramming in human cell lines with defined genotypes. The minor allele C was associated with decreased mitochondrial membrane potential under conditions where oxidative phosphorylation is required, indicating a role of oxidative phosphorylation in pathophysiology of chronic pain. Our results suggest that cellular energy metabolism, modulated by m.2352T>C, contributes to fibromyalgia and possibly other chronic pain conditions.

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Published Version (Please cite this version)

10.1097/j.pain.0000000000001996

Publication Info

van Tilburg, Miranda AL, Marc Parisien, Richard G Boles, Gillian L Drury, Julian Smith-Voudouris, Vivek Verma, Samar Khoury, Anne-Julie Chabot-Doré, et al. (2020). A genetic polymorphism that is associated with mitochondrial energy metabolism increases risk of fibromyalgia. Pain, Publish Ahead of Print. 10.1097/j.pain.0000000000001996 Retrieved from https://hdl.handle.net/10161/21675.

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Scholars@Duke

Nackley

Andrea Gail Nackley

Associate Professor in Anesthesiology

Pain is a multidimensional sensory and emotional experience that is important for our survival, but once pain becomes chronic it is no longer beneficial and, instead, becomes a disorder in and of itself. Chronic pain remains one of our nation’s most significant healthcare problems due to a limited understanding of the underlying genetic and environmental factors. There are three main objectives of our lab’s research in this area: 

  1. To determine the factors that put some people, but not others, at risk for maladaptive chronic pain conditions. To achieve this objective, we study genetic, biological, and environmental factors associated with the initial onset of pain as well as its severity and duration. In addition, we are beginning to study factors associated with patient-centered outcomes, which may have the power to predict optimal management strategies for different individuals.
  2. To elucidate the mechanism(s) whereby genetic, biological, and environmental factors drive chronic pain. To achieve this objective, we integrate molecular genetics, animal models, and clinical epidemiologic measures in order to reveal pathogenic processes that are unique to as well as common across a particular condition or individual(s). This line of inquiry will provide novel targets for the development of individualized therapeutics for the management of chronic pain.
  3. To improve pharmacologic management of pain. To achieve this objective, we conduct pre-clinical studies to test the efficacy of new compounds and to optimize the efficacy of existing compounds in patient-relevant animal models.
Smith

Shad Benjamin Smith

Associate Professor of Anesthesiology

Dr. Shad Smith is an assistant professor in the Department of Anesthesiology and holds a faculty position in the Center for Translational Pain Medicine (CTPM). Dr. Smith also has an adjunct appointment at the University of North Carolina at Chapel Hill, as part of the Center for Pain Research and Innovation (CPRI). He earned his bachelor’s degree in psychology with minors in chemistry and zoology from Brigham Young University, before moving on to graduate school.

In 2006, he graduated with a doctorate in psychology with an emphasis in behavioral neuroscience. Following his time at McGill, Dr. Smith accepted a post-doctoral fellowship in the CPRI at the UNC School of Dentistry. He received a Ruth L. Kirschstein National Research Service Award in 2008 to study the role of alpha adrenergic mechanisms in chronic orofacial pain. He joined the faculty at UNC as a research assistant professor in 2011. Dr. Smith has also served since 2007 as a research consultant, and since 2010 as the Director of Bioinformatics, for Algynomics, Inc., a Chapel Hill-based biotech firm spun off from research activities within the UNC School of Dentistry.

Dr. Smith joined the faculty at Duke University in 2016, where he continues his work with genetics of pain disorders. The primary focus of his research career has been the search for genetic variation that contributes to greater pain sensitivity and increased risk for chronic pain disease. He has worked for over a decade with genomic techniques, including both quantitative trait locus (QTL) mapping in the mouse and genetic association in human pain cohorts, investigating a number of pain-related diseases and phenotypes. Dr. Smith has published over 40 journal articles and book chapters, and presented his work at several international meetings. His work with projects such as the OPPERA (Orofacial Pain: Prospective Evaluation and Risk Assessment) study has resulted in a number of novel genes being recognized as genetic risk factors for pain.


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