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

作者：Kathleen A. Sluka, Tor D. Wager, Stephani P. Sutherland, Patricia A. Labosky, Tessa Balach, Emine O. Bayman, Giovanni Berardi, Chad M. Brummett, John W. Burns, Asokumar Buvanendran, Brian Caffo, Vince D. Calhoun, Daniel J. Clauw, Andrew C. Chang, Christopher S. Coffey, Dana L. Dailey, Dixie Ecklund, Oliver Fiehn, Kathleen M. Fisch, Laura Frey‐Law, Richard E. Harris, Steven E. Harte, Timothy D. Howard, Joshua Jacobs, Jon Jacobs, Kristen Jepsen, Nicolas Johnston, Carl D. Langefeld, Louise C. Laurent, Rebecca N. Lenzi, Martin A. Lindquist, Anna Lokshin, Ari E. Kahn, Robert J. McCarthy, Michael Olivier, Linda Porter, Weijun Qian, Cheryse A. Sankar, John S. Satterlee, Adam Swensen, Carol Vance, Jennifer F. Waljee, Laura D. Wandner, David A. Williams, Richard L. Wixson, Xiaohong Joe Zhou · 发表于：Pain · 年份：2023 · DOI：10.1097/j.pain.0000000000002938 · 被引用次数：116 · 研究领域：Musculoskeletal pain and rehabilitation、Pain Management and Placebo Effect、Pain Management and Opioid Use

ABSTRACT: 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 ration...