REPRINTED WITH PERMISSION OF IASP – PAIN 164 (2023): 1912–1926: Predicting chronic postsurgical pain: current evidence anda novel program to develop predictive biomarker signatures

Ból Pub Date : 2024-03-18 DOI:10.5604/01.3001.0054.4396
K. Sluka, T. D. Wager, S. P. Sutherland, Patricia A. Labosky, Tessa Balach, Emine O. Bayman, Giovanni Berardi, Chad M. Brummett, John Burns, A. Buvanendran, Brian Caffo, VinceD. Calhoun, Daniel Clauw, Andrew Chang, Christopher S. Coffey, D. Dailey, D. Ecklund, Oliver Fiehn, K. Fisch, L. F. Frey Law, Richard E. Harris, Steve Harte, Timothy D. Howard, Joshua Jacobs, Jon M. Jacobs, K. Jepsen, Nicolas Johnston, Carl D. Langefeld, Louise C. Laurent, Rebecca N. Lenzi, Martin A. Lindquist, A. Lokshin, Ari Kahn, Robert J McCarthy, Michael Olivier, Linda L Porter, Wei-Jun Qian, Cheryse A. Sankar, John Satterlee, Adam C. Swensen, C. Vance, Jennifer Waljee, Laura D. Wandner, David A. Williams, Richard L. Wixson, Xiaohong Joe Zhou
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Abstract

Chronic pain affects more than 50 million Americans. Treatments remain inadequate, in large part, because thepathophysiological mechanisms underlying the development of chronic pain remain poorly understood. Painbiomarkers could potentially identify and measure biological pathways and phenotypical expressions that arealtered 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 clinicalbiomarkers exist yet for chronic pain. To address this problem, the National Institutes of Health Common Fundlaunched the Acute to Chronic Pain Signatures (A2CPS) program to evaluate candidate biomarkers, develop theminto biosignatures, and discover novel biomarkers for chronification of pain after surgery. This article discussescandidate biomarkers identified by A2CPS for evaluation, including genomic, proteomic, metabolomic, lipidomic,neuroimaging, psychophysical, psychological, and behavioral measures. Acute to Chronic Pain Signatures will providethe most comprehensive investigation of biomarkers for the transition to chronic postsurgical pain undertaken todate. Data and analytic resources generated by A2CPS will be shared with the scientific community in hopes thatother investigators will extract valuable insights beyond A2CPS’s initial findings. This article will review the identifiedbiomarkers and rationale for including them, the current state of the science on biomarkers of the transition fromacute to chronic pain, gaps in the literature, and how A2CPS will address these gaps.
经国际疼痛学会许可转载 - 疼痛 164 (2023):1912-1926:预测慢性手术后疼痛:现有证据和开发预测性生物标志物特征的新计划
慢性疼痛影响着 5000 多万美国人。治疗方法仍然不足,很大程度上是因为人们对慢性疼痛发生的病理生理机制仍然知之甚少。疼痛生物标志物有可能识别和测量因疼痛而改变的生物通路和表型表达,为生物治疗目标提供洞察力,并帮助识别可能受益于早期干预的高危患者。生物标记物被用于诊断、追踪和治疗其他疾病,但目前还没有针对慢性疼痛的有效临床生物标记物。为了解决这个问题,美国国立卫生研究院共同基金启动了急性至慢性疼痛特征(A2CPS)计划,以评估候选生物标志物,将其发展为生物特征,并发现用于术后疼痛慢性化的新型生物标志物。本文将讨论 A2CPS 确定的候选生物标志物,包括基因组、蛋白质组、代谢组、脂质组、神经影像学、心理物理、心理学和行为测量等。从急性疼痛到慢性疼痛的特征将提供迄今为止对手术后慢性疼痛过渡的生物标志物进行的最全面的调查。A2CPS 生成的数据和分析资源将与科学界共享,希望其他研究人员能在 A2CPS 的初步研究结果之外获得有价值的见解。本文将回顾已确定的生物标志物和纳入这些标志物的理由、从急性疼痛向慢性疼痛过渡的生物标志物的科学现状、文献中的差距以及 A2CPS 将如何弥补这些差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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