Integrated biopsychosocial signatures: moving beyond isolated biomarkers to predict, prevent, and treat persistent pain.

IF 5.5 1区 医学 Q1 ANESTHESIOLOGY
Yenisel Cruz-Almeida
{"title":"Integrated biopsychosocial signatures: moving beyond isolated biomarkers to predict, prevent, and treat persistent pain.","authors":"Yenisel Cruz-Almeida","doi":"10.1097/j.pain.0000000000003635","DOIUrl":null,"url":null,"abstract":"Persistent pain affects one-fifth of the global population, creating a healthcare crisis that defies conventional treatments and understanding. This perspective examines how pain research is evolving from seeking isolated biomarkers to developing composite biomarker signatures that integrate neuroimaging, multiomics, and sensor data. The future requires further advancement toward integrated biopsychosocial signatures that combine these biological markers with psychological and social factors to create truly holistic pain characterizations. Achieving this requires shifting from siloed research to team science integrating diverse disciplines and patient perspectives. Through artificial intelligence and cross-disciplinary collaboration, we can envision making persistent pain predictable, preventable, and precisely treatable while maintaining the patient's voice as central to compassionate care.","PeriodicalId":19921,"journal":{"name":"PAIN®","volume":"37 1","pages":"S99-S102"},"PeriodicalIF":5.5000,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PAIN®","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/j.pain.0000000000003635","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANESTHESIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Persistent pain affects one-fifth of the global population, creating a healthcare crisis that defies conventional treatments and understanding. This perspective examines how pain research is evolving from seeking isolated biomarkers to developing composite biomarker signatures that integrate neuroimaging, multiomics, and sensor data. The future requires further advancement toward integrated biopsychosocial signatures that combine these biological markers with psychological and social factors to create truly holistic pain characterizations. Achieving this requires shifting from siloed research to team science integrating diverse disciplines and patient perspectives. Through artificial intelligence and cross-disciplinary collaboration, we can envision making persistent pain predictable, preventable, and precisely treatable while maintaining the patient's voice as central to compassionate care.
综合生物心理社会特征:超越孤立的生物标志物,预测、预防和治疗持续性疼痛。
持续的疼痛影响着全球五分之一的人口,造成了一场传统治疗和理解都无法解决的医疗危机。这一观点探讨了疼痛研究如何从寻找孤立的生物标志物发展到开发综合神经成像、多组学和传感器数据的复合生物标志物特征。未来需要进一步向综合生物-心理-社会特征发展,将这些生物标记与心理和社会因素结合起来,创造真正的整体疼痛特征。实现这一目标需要从孤立的研究转向整合不同学科和患者观点的团队科学。通过人工智能和跨学科合作,我们可以设想使持续性疼痛可预测、可预防和精确治疗,同时保持患者的声音作为富有同情心的护理的核心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
PAIN®
PAIN® 医学-临床神经学
CiteScore
12.50
自引率
8.10%
发文量
242
审稿时长
9 months
期刊介绍: PAIN® is the official publication of the International Association for the Study of Pain and publishes original research on the nature,mechanisms and treatment of pain.PAIN® provides a forum for the dissemination of research in the basic and clinical sciences of multidisciplinary interest.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信