Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures

Sluka, Kathleen A.; Wager, Tor D.; Sutherland, Stephani P.; Labosky, Patricia A.; Balach, Tessa; Bayman, Emine O.; Berardi, Giovanni; Brummett, Chad M.; Burns, John; Buvanendran, Asokumar; Caffo, Brian; Calhoun, Vince D.; Clauw, Daniel; Chang, Andrew; Coffey, Christopher S.; Dailey, Dana L.; Ecklund, Dixie; Fiehn, Oliver; Fisch, Kathleen M.; Frey Law, Laura A.; Harris, Richard E.; Harte, Steven E.; Howard, Timothy D.; Jacobs, Joshua; Jacobs, Jon M.; Jepsen, Kristen; Johnston, Nicolas; Langefeld, Carl D.; Laurent, Louise C.; Lenzi, Rebecca; Lindquist, Martin A.; Lokshin, Anna; Kahn, Ari; McCarthy, Robert J.; Olivier, Michael; Porter, Linda; Qian, Wei-Jun; Sankar, Cheryse A.; Satterlee, John; Swensen, Adam C.; Vance, Carol G.T.; Waljee, Jennifer; Wandner, Laura D.; Williams, David A.; Wixson, Richard L.; Zhou, Xiaohong Joe

doi:10.1097/j.pain.0000000000002938

Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures

Journal Article · Thu Jun 15 00:00:00 EDT 2023 · Pain

DOI:https://doi.org/10.1097/j.pain.0000000000002938· OSTI ID:2202571

^[1]; Wager, Tor D. ^[2]; Sutherland, Stephani P. ^[3]; Labosky, Patricia A. ^[4]; Balach, Tessa ^[5]; Bayman, Emine O. ^[6]; Berardi, Giovanni ^[7]; Brummett, Chad M. ^[8]; Burns, John ^[9]; Buvanendran, Asokumar ^[10]; Caffo, Brian ^[3]; Calhoun, Vince D. ^[11]; Clauw, Daniel ^[8]; Chang, Andrew ^[12]; Coffey, Christopher S. ^[6]; Dailey, Dana L. ^[7]; Ecklund, Dixie ^[6]; Fiehn, Oliver ^[13]; Fisch, Kathleen M. ^[14]; Frey Law, Laura A. ^[7] more »

Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA; The A2CPS Consortium. et al.
Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH
Department of Biostatistics, Johns Hopkins Bloomberg Schools of Public Health, Baltimore, MD
Office of Strategic Coordination, Division of Program Coordination, Planning and Strategic Initiatives, Office of the Director, National Institutes of Health, Bethesda, MD
Department of Orthopaedic Surgery and Rehabilitation Medicine, The University of Chicago, Chicago, IL
Clinical Trials and Data Management Center, Department of Biostatistics, University of Iowa, Iowa City, IA
Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA
Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI
Division of Behavioral Sciences, Rush Medical College, Chicago, IL
Department of Anesthesiology, Rush Medical College, Chicago, IL
Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, and Emory University, Atlanta, GA,
Department of Surgery, University of Michigan Medical School, Ann Arbor, MI
University of California, Davis, Davis, CA, United States
Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, San Diego, CA, United States; Center for Computational Biology and Bioinformatics, University of California San Diego, San Diego, CA, United States
Department of Biochemistry, Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC; Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
Department of Orthopedic Surgery, Rush Medical College, CHicago, IL
Environmental and Molecular Sciences Laboratory, Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA,
Institute for Genomic Medicine Genomics Center
National Institute on Drug Abuse, Bethesda, MD
Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC; Department of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, San Diego, CA, United States
Hillman Cancer Center
Texas Advanced Computing Center, University of Texas, AUstin, TX
Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC; Department of Internal Medicine, Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
National Institute of Neurological Disorders and Stroke, Bethesda, MD; Office of Pain Policy and Planning National Institutes of Health, Bethesda, MD
National Institute of Neurological Disorders and Stroke, Bethesda, MD
NorthShore Orthopaedic and Spine Institute, CHicago, IL
Center for MR Research and Departments of Radiology, Neurosurgery, and Bioengineering, University of Illinois College of Medicine at Chicago, Chicago, IL, United States

Chronic pain affects more than 50 million Americans. Treatments remain inadequate, in large part, because the pathophysiological mechanisms underlying the development of chronic pain remain poorly understood. Pain biomarkers could potentially identify and measure biological pathways and phenotypical expressions that are altered by pain, provide insight into biological treatment targets, and help identify at-risk patients who might benefit from early intervention. Biomarkers are used to diagnose, track, and treat other diseases, but no validated clinical biomarkers exist yet for chronic pain. To address this problem, the National Institutes of Health Common Fund launched the Acute to Chronic Pain Signatures (A2CPS) program to evaluate candidate biomarkers, develop them into biosignatures, and discover novel biomarkers for chronification of pain after surgery. This article discusses candidate biomarkers identified by A2CPS for evaluation, including genomic, proteomic, metabolomic, lipidomic, neuroimaging, psychophysical, psychological, and behavioral measures. Acute to Chronic Pain Signatures will provide the most comprehensive investigation of biomarkers for the transition to chronic postsurgical pain undertaken to date. Data and analytic resources generatedby A2CPS will be shared with the scientific community in hopes that other investigators will extract valuable insights beyond A2CPS’s initial findings. This article will review the identified biomarkers and rationale for including them, the current state of the science on biomarkers of the transition from acute to chronic pain, gaps in the literature, and how A2CPS will address these gaps.

View Accepted Manuscript (DOE)

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

Contributing Organization:: The A2CPS Consortium

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 2202571

Report Number(s):: PNNL-SA--169072

Journal Information:: Pain, Journal Name: Pain Journal Issue: 9 Vol. 164; ISSN 0304-3959

Publisher:: International Association for the Study of PainCopyright Statement

Country of Publication:: United States

Language:: English

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60 APPLIED LIFE SCIENCES
biomarker
biosignatures
brain imaging
chronic pain
omics
pain
postsurgical pain
psychosocial

Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures

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