Pre-silencing of genes involved in the electron transport chain (ETC) pathway is associated with responsiveness to abatacept in rheumatoid arthritis
Autor: | Céline Derambure, Olivier Vittecoq, Nicolas Vergne, Maria Antonietta D'Agostino, G. Dzangue-Tchoupou, Philippe Musette, Thierry Lequerré, Caroline Bérard, Martine Hiron |
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Přispěvatelé: | Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Physiopathologie et biothérapies des maladies inflammatoires et autoimmunes, Physiopathologie, Autoimmunité, maladies Neuromusculaires et THErapies Régénératrices (PANTHER), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Laboratoire de Mathématiques Raphaël Salem (LMRS), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Service de Rhumatologie [CHU Ambroise Paré], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Ambroise Paré [AP-HP], Service de rhumatologie [CHU Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Centre d'Investigation Clinique [CHU Rouen] (CIC Rouen), Hôpital Charles Nicolle [Rouen]-CHU Rouen, Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM) |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Adult
Male 0301 basic medicine Settore MED/16 - REUMATOLOGIA lcsh:Diseases of the musculoskeletal system Microarray Drug Resistance Oxydative stress Context (language use) Bioinformatics Arthritis Rheumatoid Abatacept 03 medical and health sciences NDUFA4 0302 clinical medicine Abatacept response Rheumatoid medicine Humans Gene silencing Rheumatoid arthritis Gene Aged 030203 arthritis & rheumatology [STAT.AP]Statistics [stat]/Applications [stat.AP] business.industry Arthritis Gene Expression Profiling Middle Aged medicine.disease [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] Mitochondria 3. Good health Methotrexate 030104 developmental biology Electron Transport Chain Complex Proteins Antirheumatic Agents Female lcsh:RC925-935 DNA microarray Transcriptome business [STAT.ME]Statistics [stat]/Methodology [stat.ME] Biomarkers Research Article medicine.drug |
Zdroj: | Arthritis Research and Therapy Arthritis Research and Therapy, BioMed Central, 2017, 19 (1), ⟨10.1186/s13075-017-1319-8⟩ Arthritis Research & Therapy, Vol 19, Iss 1, Pp 1-13 (2017) Arthritis Research & Therapy |
ISSN: | 1478-6354 |
DOI: | 10.1186/s13075-017-1319-8⟩ |
Popis: | Background In the current context of personalized medicine, one of the major challenges in the management of rheumatoid arthritis (RA) is to identify biomarkers that predict drug responsiveness. From the European APPRAISE trial, our main objective was to identify a gene expression profile associated with responsiveness to abatacept (ABA) + methotrexate (MTX) and to understand the involvement of this signature in the pathophysiology of RA. Methods Whole human genome microarrays (4 × 44 K) were performed from a first subset of 36 patients with RA. Data validation by quantitative reverse-transcription (qRT)-PCR was performed from a second independent subset of 32 patients with RA. Gene Ontology and WikiPathways database allowed us to highlight the specific biological mechanisms involved in predicting response to ABA/MTX. Results From the first subset of 36 patients with RA, a combination including 87 transcripts allowed almost perfect separation between responders and non-responders to ABA/MTX. Next, the second subset of patients 32 with RA allowed validation by qRT-PCR of a minimal signature with only four genes. This latter signature categorized 81% of patients with RA with 75% sensitivity, 85% specificity and 85% negative predictive value. This combination showed a significant enrichment of genes involved in electron transport chain (ETC) pathways. Seven transcripts from ETC pathways (NDUFA6, NDUFA4, UQCRQ, ATP5J, COX7A2, COX7B, COX6A1) were significantly downregulated in responders versus non-responders to ABA/MTX. Moreover, dysregulation of these genes was independent of inflammation and was specific to ABA response. Conclusion Pre-silencing of ETC genes is associated with future response to ABA/MTX and might be a crucial key to susceptibility to ABA response. Electronic supplementary material The online version of this article (doi:10.1186/s13075-017-1319-8) contains supplementary material, which is available to authorized users. |
Databáze: | OpenAIRE |
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