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Abstract
Sportomics is a subject-centered holistic method similar to metabolomics focusing on sports as the metabolic challenge. Dried blood spot is emerging as a technique due to its simplicity and reproducibility. In addition, mass spectrometry and integrative computational biology enhance our ability to understand exercise-induced modifications. We studied inflammatory blood proteins (Alpha-1-acid glycoprotein—A1AG1; Albumin; Cystatin C; C-reactive protein—CRP; Hemoglobin—HBA; Haptoglobin—HPT; Insulin-like growth factor 1; Lipopolysaccharide binding protein—LBP; Mannose-binding lectin—MBL2; Myeloperoxidase—PERM and Serum amyloid A1—SAA1), in 687 samples from 97 World-class and Olympic athletes across 16 sports in nine states. Data were analyzed with Spearman's rank-order correlation. Major correlations with CRP, LBP; MBL2; A1AG1, and SAA1 were found. The pairs CRP-SAA1 and CRP-LBP appeared with a robust positive correlation. Other pairs, LBP-SAA1; A1AG1-CRP; A1AG1-SAA1; A1AG1-MBL, and A1AG1-LBP, showed a broader correlation across the sports. The protein–protein interaction map revealed 1500 interactions with 44 core proteins, 30 of them linked to immune system processing. We propose that the inflammation follow-up in exercise can provide knowledge for internal cargo management in training, competition, recovery, doping control, and a deeper understanding of health and disease.
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1 Federal University of State of Rio de Janeiro, Laboratory of Protein Biochemistry, Rio de Janeiro, Brazil (GRID:grid.467095.9) (ISNI:0000 0001 2237 7915); SOmics, Vila Velha, Brazil (GRID:grid.467095.9)
2 Federal University of State of Rio de Janeiro, Laboratory of Protein Biochemistry, Rio de Janeiro, Brazil (GRID:grid.467095.9) (ISNI:0000 0001 2237 7915)
3 Federal University of State of Rio de Janeiro, Laboratory of Protein Biochemistry, Rio de Janeiro, Brazil (GRID:grid.467095.9) (ISNI:0000 0001 2237 7915); Carleton University, School of Computer Science, Ottawa, Canada (GRID:grid.34428.39) (ISNI:0000 0004 1936 893X); University of Toronto, Department of Computer Science, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938)
4 SISCAPA Assay Technologies, Inc., Washington, USA (GRID:grid.467095.9)
5 University Health Network, Arthritis Program, Schroeder Arthritis Institute, Krembil Research Institute, Toronto, Canada (GRID:grid.231844.8) (ISNI:0000 0004 0474 0428); University of Toronto, Faculty of Medicine, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938)
6 Waters Technologies, Milford, USA (GRID:grid.433801.d) (ISNI:0000 0004 0580 039X)
7 University Health Network, Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, and Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, Toronto, Canada (GRID:grid.231844.8) (ISNI:0000 0004 0474 0428); University of Toronto, Departments of Medical Biophysics and Computer Science, and Faculty of Dentistry, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); Slovak Academy of Sciences, Institute of Neuroimmunology, Bratislava, Slovakia (GRID:grid.419303.c) (ISNI:0000 0001 2180 9405)