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Peptidomics analysis of plasma in patients with ankylosing spondylitis
Peptidomics analysis of plasma in patients with ankylosing spondylitis
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Peptidomics analysis of plasma in patients with ankylosing spondylitis
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Peptidomics analysis of plasma in patients with ankylosing spondylitis
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Peptidomics analysis of plasma in patients with ankylosing spondylitis
Peptidomics analysis of plasma in patients with ankylosing spondylitis
Journal Article

Peptidomics analysis of plasma in patients with ankylosing spondylitis

2023
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Overview
This study aimed to explore the differential expression of peptides associated with ankylosing spondylitis (AS) patients, enabling identification of potential functional peptides to provide the basis for the novel intervention targets for AS. 3 AS patients and 3 healthy volunteers were enrolled in this study. The expression profiles for peptides present in the plasma of AS patients and the healthy individual were analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The physicochemical properties and biological functions of identified peptides were further analyzed by bioinformatics. The results of peptide identification were verified by cell viability analysis, using CCK8 and Edu staining assay, and the differential peptides relevant to the disease were screened. 52 differential peptides were successfully identified using mass spectrometry. 44 peptides were up-regulated, while eight were down-regulated. FGA-peptide (sequences: DSGEGDFLAEGGGVRGPR), C4A-peptide (sequences: NGFKSHAL), and TUBB-peptide (sequences: ISEQFTAMFR) were screened out that could significantly promote the proliferation of fibroblasts in AS patients. Bioinformatics analysis showed these differentially expressed peptides might be associated with \"MHC class I protein binding\" and \"pathogenic Escherichia coli infection\" pathways, which might further affect the progression of AS. This pilot study shows 3 differentially expressed peptides may have the potential function for the occurrence and development of AS, may provide novel insights into the underlying molecular mechanisms of AS based on peptide omics.