Deep learning-based clustering for endotyping and post-arthroplasty response classification using knee osteoarthritis multiomic data.

Journal: Annals of the rheumatic diseases
PMID: 39948003

Abstract

OBJECTIVES: Primary knee osteoarthritis (KOA) is a heterogeneous disease with clinical and molecular contributors. Biofluids contain microRNAs and metabolites that can be measured by omic technologies. Multimodal deep learning is adept at uncovering complex relationships within multidomain data. We developed a novel multimodal deep learning framework for clustering of multiomic data from 3 subject-matched biofluids to identify distinct KOA endotypes and classify 1-year post-total knee arthroplasty (TKA) pain/function responses.

Authors

  • Jason S Rockel
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada.
  • Divya Sharma
    Biostatistics Department, Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada.
  • Osvaldo Espin-Garcia
    Department of Biostatistics, Schroeder Arthritis Institute and Krembil Research Institute, University Health Network, Toronto, Canada; Dalla Lana School of Public Health and Department of Statistical Sciences, University of Toronto, Toronto, Canada; Department of Epidemiology and Biostatistics, University of Western Ontario, London, Canada, Toronto, Canada. Electronic address: oespinga@uwo.ca.
  • Katrina Hueniken
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
  • Amit Sandhu
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada.
  • Chiara Pastrello
    Krembil Research Institute, UHN, 60 Leonard Avenue, Toronto, ON M5T 0S8, Canada.
  • Kala Sundararajan
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada.
  • Pratibha Potla
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada.
  • Noah Fine
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada.
  • Starlee S Lively
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada.
  • Kim Perry
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada.
  • Nizar N Mahomed
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada; Department of Surgery, University of Toronto, Toronto, ON, Canada.
  • Khalid Syed
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada; Department of Surgery, University of Toronto, Toronto, ON, Canada.
  • Igor Jurisica
    Departments of Medical Biophysics and Computer Science, University of Toronto, Toronto, Canada. juris@ai.utoronto.ca.
  • Anthony V Perruccio
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada; Department of Surgery, University of Toronto, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
  • Y Raja Rampersaud
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada; Department of Surgery, University of Toronto, Toronto, ON, Canada.
  • Rajiv Gandhi
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada; Department of Surgery, University of Toronto, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
  • Mohit Kapoor
    Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Krembil Research Institute, University Health Network, Toronto, ON, Canada; Department of Surgery, University of Toronto, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada. Electronic address: mkapoor@uhnresearch.ca.

Keywords

External Resources

Popular Topics
Recent Journals