Large‐Scale Plasma Proteomics to Profile Pathways and Prognosis of Chronic Pain
Source abstract
Abstract
Abstract While increasing peripheral mechanisms related to chronic pain, the plasma proteomics profile associated with it and its prognosis remains elusive. This study utilizes 2923 plasma proteins and chronic pain of 51 644 participants from UK Biobank and finds 474 proteins linked to chronic pain in six sites: head, neck or shoulder, back, stomach or abdominal, hip, and knee, with 11 proteins sharing across pain sites. The identified proteins are largely enriched in immune and metabolic pathways and highly expressed in tissues like lungs and small intestines. Phenome‐wide analysis highlights the significance of pain‐related proteome on diverse facets of human health, and in‐depth Mendelian randomization validates 10 proteins (CD302, RARRES2, TNFRSF1B, BTN2A1, TNFRSF9, COL18A1, TNF, CD74, TNFRSF4, and BTN2A1) as markers of chronic pain. Furthermore, protein sets capable of classifying pain patients and healthy participants, particularly performing best in hip pain (area under curve, AUC = 0.725), are identified. Interestingly, the prediction of pain spreading over ten years achieves an AUC of 0.715, with leptin identified as a crucial predictor. This study delineates proteins associated with various pain conditions and identifies proteins capable of classifying pain and predicting pain spreading, offering benefits for both research and clinical practice.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Fibromyalgia and Chronic Fatigue Syndrome Research · Muscle metabolism and nutrition · Exercise and Physiological Responses
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Science and Technology for Brain‐Inspired Intelligence Department of Neurology Huashan Hospital State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science Fudan University Shanghai 200433 China
Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence (Fudan University) Ministry of Education Shanghai 200433 China
Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science East China Normal University Shanghai 200062 China
Department of Neurosurgery Huashan Hospital, Shanghai Medical College Fudan University Shanghai 200040 China
National Center for Neurological Disorders Shanghai 200040 China
Department of Computer Science University of Warwick Coventry CV4 7AL UK
Fudan ISTBI–ZJNU Algorithm Centre for Brain‐inspired Intelligence Zhejiang Normal University Zhejiang 321004 China
CAS Key Laboratory of Mental Health, Institute of Psychology Chinese Academy of Sciences Beijing 100101 China
Funding
National Key Research and Development Program of China · National Natural Science Foundation of China · Program of Shanghai Academic Research Leader
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