Machine Learning Analysis of Whole-Blood Transcriptomics Data in Rheumatoid Arthritis Patients Treated with Adalimumab Identifies Predictive Biomarkers of Response.

Journal: Arthritis & rheumatology (Hoboken, N.J.)
Published Date:

Abstract

OBJECTIVES: Tumor necrosis factor inhibitors (TNFi) have significantly improved rheumatoid arthritis (RA) management, yet variability in patient response remains a substantial challenge, with approximately 40% of patients discontinuing TNFi due to non-response or adverse effects. This study aimed to identify biomarkers predictive of adalimumab treatment response using whole blood transcriptomics, leveraging machine learning models for data mining followed by targeted statistical analysis.

Authors

  • Chuan Fu Yap
    Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK.
  • Nisha Nair
    Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK.
  • Ann W Morgan
    School of Medicine University of Leeds, Leeds, UK.
  • John D Isaacs
    Translational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne, UK.
  • Anthony G Wilson
    School of Medicine and Medical Science, Conway Institute, University College Dublin, Dublin, Ireland.
  • Kimme Hyrich
    NIHR Biomedical Research Centre Manchester, Manchester, UK.
  • Guillermo Barturen
    GENYO, Centre for Genomics and Oncological Research Pfizer, University of Granada, Andalusian Regional Government, PTS Granada, Granada, Spain.
  • María Riva-Torrubia
    GENYO, Centre for Genomics and Oncological Research Pfizer, University of Granada, Andalusian Regional Government, PTS Granada, Granada, Spain.
  • Marta Gut
    Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain.
  • Ivo Gut
    Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain.
  • Marta E Alarcón Riquelme
    GENYO, Centre for Genomics and Oncological Research Pfizer, University of Granada, Andalusian Regional Government, PTS Granada, Granada, Spain.
  • Anne Barton
    Centre for Genetics and Genomics Versus Arthritis,Centre for Musculoskeletal Research,Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9PT, UK.
  • Darren Plant
    Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK.

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