Submission ID 92344
| Poster Code | HR-P-72 |
|---|---|
| Title of Abstract | ORGAN AND CELL-SPECIFIC BIOMARKERS OF LONG-COVID IDENTIFIED WITH TARGETED PROTEOMICS AND MACHINE LEARNING |
| Abstract Submission | Background: Survivors of acute COVID-19 often suffer prolonged, diffuse symptoms post- infection, referred to as "Long-COVID". A lack of Long-COVID biomarkers and pathophysiological mechanisms limits effective diagnosis, treatment and disease surveillance. We performed targeted proteomics and machine learning analyses to identify novel blood biomarkers of Long-COVID. Methods: A case-control study comparing the expression of 2925 unique blood proteins in Long-COVID outpatients versus COVID-19 inpatients and healthy control subjects. Targeted proteomics was accomplished with proximity extension assays, and machine learning was used to identify the most important proteins for identifying Long-COVID patients. Organ system and cell type expression patterns were identified with Natural Language Processing (NLP). Results: Machine learning analysis identified 119 relevant proteins for differentiating Long- COVID outpatients (Bonferonni corrected P<0.01). Protein combinations were narrowed down to two optimal models, with nine and five proteins each, and with both having excellent sensitivity and specificity for Long-COVID status (AUC=1.00, F1=1.00). NLP expression analysis highlighted the diffuse organ system involvement in Long-COVID, as well as the involved cell types, including leukocytes and platelets, as key components associated with Long-COVID. Conclusions: Proteomic analysis of plasma from Long-COVID patients identified 119 highly relevant proteins and two optimal models with nine and five proteins, respectively. The identified proteins reflected widespread organ and cell type expression. Optimal protein models, as well as individual proteins, hold the potential for accurate diagnosis of Long-COVID and targeted therapeutics. |
| Please indicate who nominated you | Dr. Kelly Anderson - Graduate Chair, Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry |
| What Canadian Institutes of Health Research (CIHR) institute is your research most closely aligned? | Circulatory and Respiratory Health Infection and Immunity |
| What Canadian Institutes of Health Research (CIHR) pillar of health research does your research fall under? | Biomedical |
| PDF of abstract | Abstract_Submission_Maitray_Patel_LongCovid.pdf 2023-01-30 at 18:28:00 |
| Presenter and Author(s) | Maitray Patel Maitray Patel |
