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Exploration of potential biomarkers for prurigo nodularis based on plasma‐metabolome analysis

Prurigo nodularis (PN) is a chronic and debilitating skin disease with severe itching that negatively impacts patients' quality of life and mental state. However, the treatment options for PN remain limited. Global metabolomics analysis can offer effective information on energy metabolism, path...

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Published in:Experimental dermatology 2024-09, Vol.33 (9), p.e15170-n/a
Main Authors: Wang, Duoqin, Peng, Lisi, Zhu, Yiqi, Xu, Shuwen, Xiao, Zijing, Shen, Yanyun, Jin, Taiyu, Shao, Yixin, Tang, Hui
Format: Article
Language:English
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Summary:Prurigo nodularis (PN) is a chronic and debilitating skin disease with severe itching that negatively impacts patients' quality of life and mental state. However, the treatment options for PN remain limited. Global metabolomics analysis can offer effective information on energy metabolism, pathogenesis and potential diagnostic biomarkers. No study on metabolomic analysis of PN has been reported. To further understand the mechanisms of PN and analyse the plasma metabolite profiles in patients with PN. Targeted‐metabolome analysis of 306 metabolites in plasma from 18 patients with PN and 19 healthy controls was performed using Liquid Chromatography‐tandem Mass Spectrometer analysis. We identified 31 differential metabolites. Most acylcarnitines, long‐chain fatty acids, alpha‐aminobutyric acid, hydroxybutyric acid and lactic acid among these metabolites were up‐regulated in patients with PN; in contrast, glucaric acid, suberic acid, bile acid derivatives and most amino acids were down‐regulated. Positive correlations exist between glucaric acid and itching severity and acylcarnitines and insomnia. Suberic acid and the Investigator's Global Assessment (IGA) scores correlate negatively. Metabolite variation reflects the dysregulation of energy metabolism and chronic systematic inflammation in PN. Several metabolites, such as glucaric acid, suberic acid and acylcarnitines, merit further study as potential biomarkers of disease severity in PN.
ISSN:0906-6705
1600-0625
1600-0625
DOI:10.1111/exd.15170