{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T22:50:39Z","timestamp":1792795839454,"version":"4.5.0"},"reference-count":69,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T00:00:00Z","timestamp":1646006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Immunol."],"abstract":"<jats:p>Psoriatic arthritis (PsA) is a chronic inflammatory joint disease, and the diagnosis is quite difficult due to the unavailability of reliable clinical markers. This study aimed to investigate the fecal metabolites in PsA by comparison with rheumatoid arthritis (RA), and to identify potential diagnostic biomarkers for PsA. The metabolic profiles of the fecal samples from 27 PsA and 29 RA patients and also 36 healthy controls (HCs) were performed on ultra-high-performance liquid chromatography coupled with hybrid triple quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS). And differentially altered metabolites were screened and assessed using multivariate analysis for exploring the potential biomarkers of PsA. The results showed that 154 fecal metabolites were significantly altered in PsA patients when compared with HCs, and 45 metabolites were different when compared with RA patients. A total of 14 common differential metabolites could be defined as candidate biomarkers. Furthermore, a support vector machines (SVM) model was performed to distinguish PsA from RA patients and HCs, and 5 fecal metabolites, namely, \u03b1\/\u03b2-turmerone, glycerol 1-hexadecanoate, dihydrosphingosine, pantothenic acid and glutamine, were determined as biomarkers for PsA. Through the metabolic pathways analysis, we found that the abnormality of amino acid metabolism, bile acid metabolism and lipid metabolism might contribute to the occurrence and development of PsA. In summary, our research provided ideas for the early diagnosis and treatment of PsA by identifying fecal biomarkers and analyzing metabolic pathways.<\/jats:p>","DOI":"10.3389\/fimmu.2022.812996","type":"journal-article","created":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T13:48:36Z","timestamp":1646056116000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Altered Fecal Metabolomics and Potential Biomarkers of Psoriatic Arthritis Differing From Rheumatoid Arthritis"],"prefix":"10.3389","volume":"13","author":[{"given":"Nan","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linjiao","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lili","family":"Shang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaojun","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanlin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuting","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoying","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chong","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenyu","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,2,28]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autrev.2018.01.002","article-title":"Interaction Between Microbiome and Host Genetics in Psoriatic Arthritis","volume":"17","author":"Chimenti","year":"2018","journal-title":"Autoimmun Rev"},{"key":"B2","doi-asserted-by":"publisher","first-page":"1665","DOI":"10.12688\/f1000research.19144.1","article-title":"Psoriatic Arthritis","volume":"8","author":"Ocampo","year":"2019","journal-title":"F1000Res"},{"key":"B3","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.jaut.2016.10.009","article-title":"Management of Psoriatic Arthritis: Early Diagnosis, Monitoring of Disease Severity and Cutting Edge Therapies","volume":"76","author":"Raychaudhuri","year":"2017","journal-title":"J Autoimmun"},{"key":"B4","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1007\/s12016-016-8529-8","article-title":"Interactions of the Immune System With Skin and Bone Tissue in Psoriatic Arthritis: A Comprehensive Review","volume":"51","author":"Sukhov","year":"2016","journal-title":"Clin Rev Allergy Immunol"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejr.2021.03.003","article-title":"Clinical and Laboratory Characteristics of Psoriatic Arthritis in a Cohort of Egyptian Patients","volume":"43","author":"ElSherbiny","year":"2021","journal-title":"Egypt Rheumatol"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1016\/j.autrev.2014.01.008","article-title":"Diagnosis and Classification of Psoriasis","volume":"13","author":"Raychaudhuri","year":"2014","journal-title":"Autoimmun Rev"},{"key":"B7","doi-asserted-by":"publisher","first-page":"101494","DOI":"10.1016\/j.berh.2020.101494","article-title":"The Gut Microbiome in Psoriasis and Psoriatic Arthritis","volume":"33","author":"Myers","year":"2019","journal-title":"Best Pract Res Clin Rheumatol"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1111\/bjd.12230","article-title":"Is the Prevalence of Psoriasis Increasing? 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