Anti-carbamylated protein antibodies as a clinical response predictor in rheumatoid arthritis patients treated with abatacept.


Journal

Clinical and experimental rheumatology
ISSN: 0392-856X
Titre abrégé: Clin Exp Rheumatol
Pays: Italy
ID NLM: 8308521

Informations de publication

Date de publication:
Historique:
received: 23 12 2019
accepted: 24 02 2020
pubmed: 3 5 2020
medline: 11 2 2021
entrez: 3 5 2020
Statut: ppublish

Résumé

Carbamylation is an irreversible post-translational modification of proteins. The presence of anti-carbamylated protein antibodies (anti-CarP) has been observed in rheumatoid arthritis (RA). This study was focused to verify whether anti-CarP antibodies can be used as a predictive factor of clinical response to abatacept (CTLA4-Ig) in RA patients. Sixty RA patients treated with abatacept were enrolled. A home-made ELISA for anti-CarP and a commercial anti-CCP3.1 kit for anti-citrullinated proteins antibodies (anti-CCP) were applied to determine serum levels every six months of therapy. Rheumatoid factor (RF) was also tested. Anti-CarP positive patients (n=18) were younger (p=0.01) and with a longer disease duration (p=0.05) when compared to anti-CarP negative patients (n=42) at baseline. Considering the entire cohort, a significant reduction of anti-CarP titre after twelve-months of treatment was shown (p<0.01). A significant reduction of Disease Activity Score (DAS) 28-C-reactive protein (CRP) in the first six months of therapy was found in the subgroup of anti-CarP positive patients in comparison with the negative ones (p=0.003). No significant results were found by dividing the cohort using the positivity to anti-CCP and/or RF. Earlier onset and a longer disease duration in anti-CarP positive patients might suggest they are specific risk factors for RA in this subgroup of patients. The correlation between the anti-CarP positivity at baseline and the reduction of disease activity during the first six months of treatment with abatacept allowed us to hypothesise that anti-CarP antibodies, but not anti-CCP and/or RF, could be used as a good clinical response predictor.

Identifiants

pubmed: 32359037
pii: 15133
doi: 10.55563/clinexprheumatol/g8xqxr
doi:

Substances chimiques

Autoantibodies 0
Peptides, Cyclic 0
Abatacept 7D0YB67S97
Rheumatoid Factor 9009-79-4

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

91-97

Commentaires et corrections

Type : CommentIn

Auteurs

Rajesh Kumar (R)

Rheumatology and Clinical Immunology Unit, Department of Clinical and Experimental Sciences, ASST Spedali Civili and University of Brescia, Italy.

Silvia Piantoni (S)

Rheumatology and Clinical Immunology Unit, Department of Clinical and Experimental Sciences, ASST Spedali Civili and University of Brescia, Italy. slv.piantoni@gmail.com.

Michele Boldini (M)

Rheumatology and Clinical Immunology Unit, Department of Clinical and Experimental Sciences, ASST Spedali Civili and University of Brescia, Italy.

Emirena Garrafa (E)

Department of Molecular and Translational Medicine, University of Brescia, Italy.

Chiara Bazzani (C)

Rheumatology and Clinical Immunology Unit, Department of Clinical and Experimental Sciences, ASST Spedali Civili and University of Brescia, Italy.

Micaela Fredi (M)

Rheumatology and Clinical Immunology Unit, Department of Clinical and Experimental Sciences, ASST Spedali Civili and University of Brescia, Italy.

Roberta Ottaviani (R)

Rheumatology and Clinical Immunology Unit, Department of Clinical and Experimental Sciences, ASST Spedali Civili and University of Brescia, Italy.

Ilaria Cavazzana (I)

Rheumatology and Clinical Immunology Unit, Department of Clinical and Experimental Sciences, ASST Spedali Civili and University of Brescia, Italy.

Angela Tincani (A)

Rheumatology and Clinical Immunology Unit, Department of Clinical and Experimental Sciences, ASST Spedali Civili and University of Brescia, Italy.

Franco Franceschini (F)

Rheumatology and Clinical Immunology Unit, Department of Clinical and Experimental Sciences, ASST Spedali Civili and University of Brescia, Italy.

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Classifications MeSH