// App-Quantinova.ai

OA03 : Harnessing quantitative proteomics to identify biomarkers of treatment response to etanercept in patients with rheumatoid arthritis

Researchers

Presenter

  • Stephanie F Ling

Principal Investigators

  • Chuan Fu Yap

  • Nisha Nair

  • James Bluett

  • Ann W Morgan

  • John D Isaacs

  • Anthony G Wilson

  • Kimme L Hyrich

  • Anne Barton

  • Darren Plant

Medical Centers

  • NIHR Biomedical Research Centre Manchester, Manchester University NHS Foundation Trust, Manchester, United Kingdom

  • NIHR Leeds Biomedical Research Unit, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom

  • School of Psychology, University of Leeds, Leeds, United Kingdom

  • School of Medicine and Medical Science, University College Dublin, Dublin, Ireland

  • Newcastle-upon-Tyne Hospitals NHS Foundation Trust, Newcastle-upon-Tyne, United Kingdom

  • Centre for Epidemiology Versus Arthritis, The University of Manchester, Manchester, United Kingdom

  • Translational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne, Newcastle, United Kingdom

  • Centre for Genetics and Genomics, Arthritis Research UK, University of Manchester, Manchester, United Kingdom,

Locations

  • United Kingdom

  • Ireland

Companies

  • N/A

Study Components

Therapeutic Area

  • Autoimmune (AI)

Disease

  • Rheumatoid arthritis

Biomarkers

  • Albumin/creatinine

Drug/Treatment

  • Etanercept

  • CHS-0214

Outcome

  • N/A


Study Design

  • Multicenteric

  • Prospective

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • Final