Circulating Mir-140 and leptin improve the accuracy of the differential diagnosis between psoriatic arthritis and rheumatoid arthritis: a case-control study.

ACPA = anti‐cyclic citrullinated peptide antibodies ACR = American college of rheumatology ACTB = actin beta BMI = body mass index CRP = C-reactive protein CV = cardiovascular DAPSA = disease activity in psoriatic arthritis DAS28 = disease activity score 28 DMARDs = disease-modifying anti-rheumatic drugs ESR = erythrocyte sedimentation rate EULAR = European league against rheumatism HAQ = health assessment questionnaire HC = healthy controls HDL = high density lipoprotein HMW = high molecular weight IGF = insulin-like growth factor IL = interleukin LDL = low density lipoprotein LMW = low molecular weight MAPK = mitogen-activated protein kinase MMW = medium molecular weight NF‐κB = nuclear factor κB NSAIDs = non-steroidal anti-inflammatory drugs OA = osteoarthritis PASI = psoriasis area severity index PBMCs = peripheral blood mononuclear cells PsA = psoriatic arthritis RA = rheumatoid arthritis RF = rheumatoid factor SIRT‐1 = silencing the gene for sirtuin SNORD-25 = small nucleolar RNA = C/D Box 25 TGF-β = activity and in transforming growth factor TNF = tumor necrosis factor VAS = visual analogue scale VEGF = vascular endothelial growth factor miRNA = microRNA

Journal

Translational research : the journal of laboratory and clinical medicine
ISSN: 1878-1810
Titre abrégé: Transl Res
Pays: United States
ID NLM: 101280339

Informations de publication

Date de publication:
01 2022
Historique:
received: 23 02 2021
revised: 03 08 2021
accepted: 03 08 2021
pubmed: 12 8 2021
medline: 4 1 2022
entrez: 11 8 2021
Statut: ppublish

Résumé

The differential diagnosis of psoriatic arthritis (PsA) and rheumatoid arthritis (RA) is difficult because of the lack of diagnostic clinical signs and reliable biomarkers. This study investigated microRNAs (miRNA) and adipokines as potential additional markers to discriminate PsA from RA. The expression profile of miRNA (miR-21, miR-140, miR-146a, miR-155, miR-181b, miR-223, miR-let-7e) and inflammatory cytokines (IL-1β, IL-6, IL-17a, IL-23a, TNF-α) from peripheral blood mononuclear cells of PsA and RA patients compared to healthy controls (HC) were evaluated by real-time PCR, and serum adipokines (adiponectin, chemerin, leptin, resistin, visfatin) and cytokines by ELISA assay. Univariable binary logistic regression was used to find the association between PsA and potential predictors. The gene expression of miRNA and cytokines and the serum levels of adipokines were found significantly different in PsA and RA patients compared to HC, as well as in PsA versus RA. MiR-140 gene expression resulted up-regulated in PsA patients and reduced in RA in comparison to HC, and, for the first time, significantly higher in PsA compared with RA. Serum levels of IL-23a and leptin were significantly increased in PsA and RA populations than in HC, as well as in PsA versus RA. Furthermore, circulating TNF-α was up-regulated in PsA and RA in comparison to controls, while resulted higher in RA than in PsA. Univariable binary logistic regression analysis found the above-mentioned markers associated to PsA versus RA. Our results first demonstrated an increased expression of circulating miR-140 and serum leptin in PsA patients compared to RA, which were identified as potential additional biomarkers to discriminate PsA from RA. Since the differential diagnosis of PsA and RA poses challenges in clinical practice, our data may help to enhance the diagnostic performance of PsA in daily practice.

Identifiants

pubmed: 34380068
pii: S1931-5244(21)00191-2
doi: 10.1016/j.trsl.2021.08.001
pii:
doi:

Substances chimiques

Adipokines 0
Biomarkers 0
Cytokines 0
LEP protein, human 0
Leptin 0
MicroRNAs 0
Mirn140 microRNA, human 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

18-34

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Sara Cheleschi (S)

Rheumatology Unit, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Viale Bracci 1, Siena, Italy. Electronic address: saracheleschi@hotmail.com.

Sara Tenti (S)

Rheumatology Unit, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Viale Bracci 1, Siena, Italy.

Giorgio Bedogni (G)

Data Science, Qeios, London, UK.

Antonella Fioravanti (A)

Rheumatology Unit, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Viale Bracci 1, Siena, Italy.

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Classifications MeSH