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Treatment response in rheumatoid arthritis is predicted by the microbiome: a large observational study in UK DMARD-naïve patients.
Danckert, Nathan P; Freidin, Maxim B; Smith, Isabelle Granville; Wells, Philippa M; Naeini, Maryam Kazemi; Visconti, Alessia; Compte, Roger; MacGregor, Alexander; Williams, Frances M K.
Afiliación
  • Danckert NP; Department of Twin Research and Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, UK.
  • Freidin MB; Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK.
  • Smith IG; Department of Twin Research and Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, UK.
  • Wells PM; UK Dementia Research Institute, Imperial College London, London, UK.
  • Naeini MK; Department of Brain Sciences, Imperial College London, London, UK.
  • Visconti A; Department of Twin Research and Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, UK.
  • Compte R; Department of Twin Research and Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, UK.
  • MacGregor A; Department of Twin Research and Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, UK.
  • Williams FMK; Norwich Medical School, University of East Anglia, Norwich, UK.
Article en En | MEDLINE | ID: mdl-38291926
ABSTRACT

OBJECTIVES:

Disease-modifying antirheumatic drugs (DMARDs) are first line treatment in rheumatoid arthritis (RA). Treatment response to DMARDs is patient-specific, dose efficacy is difficult to predict and long-term results variable. The gut microbiota are known to play a pivotal role in prodromal and early-disease RA, manifested by Prevotella spp. enrichment. The clinical response to therapy may be mediated by microbiota, and large-scale studies assessing the microbiome are few. This study assessed whether microbiome signals were associated with, and predictive of, patient response to DMARD-treatment. Accurate early identification of those who will respond poorly to DMARD therapy would allow selection of alternative treatment (e.g. biologic therapy), and potentially improve patient outcome.

METHODS:

A multicentre, longitudinal, observational study of stool- and saliva microbiome was performed in DMARD-naïve, newly diagnosed RA patients during introduction of DMARD treatment. Clinical data and samples were collected at baseline (n = 144) in DMARD-naïve patients and at six weeks (n = 117) and 12 weeks (n = 95) into DMARD-therapy. Samples collected (n = 365 stool, n = 365 saliva) underwent shotgun sequencing. Disease activity measures were collected at each timepoint and minimal clinically important improvement determined.

RESULTS:

In total, 26 stool microbes were found to decrease in those manifesting a minimal clinically important improvement. Prevotella spp. and Streptococcus spp. were the predominant taxa to decline following six weeks and 12 weeks of DMARDs, respectively. Furthermore, baseline microbiota of DMARD-naïve patients were indicative of future response.

CONCLUSION:

DMARDs appear to restore a perturbed microbiome to a eubiotic state. Moreover, microbiome status can be used to predict likelihood of patient response to DMARD.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Rheumatology (Oxford) Asunto de la revista: REUMATOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Rheumatology (Oxford) Asunto de la revista: REUMATOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido