Large‐Scale Plasma Proteomics to Profile Pathways and Prognosis of Chronic Pain Article Swipe
Zeyu Li
,
Qing Ma
,
Jie Zhang
,
Rong Yin
,
Jia You
,
Qinggang Hao
,
Xinrui Wu
,
Jujiao Kang
,
Linbo Wang
,
Yue‐Ting Deng
,
Yuzhu Li
,
Chun Shen
,
Bang‐Sheng Wu
,
Jianfeng Feng
,
Yiheng Tu
,
Xiao Xiao
,
Jin‐Tai Yu
,
Wei Cheng
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/advs.202410160
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/advs.202410160
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/advs.202410160
- OA Status
- gold
- Cited By
- 1
- References
- 86
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408245073
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4408245073Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/advs.202410160Digital Object Identifier
- Title
-
Large‐Scale Plasma Proteomics to Profile Pathways and Prognosis of Chronic PainWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-03-06Full publication date if available
- Authors
-
Zeyu Li, Qing Ma, Jie Zhang, Rong Yin, Jia You, Qinggang Hao, Xinrui Wu, Jujiao Kang, Linbo Wang, Yue‐Ting Deng, Yuzhu Li, Chun Shen, Bang‐Sheng Wu, Jianfeng Feng, Yiheng Tu, Xiao Xiao, Jin‐Tai Yu, Wei ChengList of authors in order
- Landing page
-
https://doi.org/10.1002/advs.202410160Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1002/advs.202410160Direct OA link when available
- Concepts
-
Medicine, Proteomics, Chronic pain, Phenome, Proteome, Biobank, Bioinformatics, Internal medicine, Physical therapy, Gene, Biology, Phenotype, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
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86Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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