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.

Details

Title
Sportomics method to assess acute phase proteins in Olympic level athletes using dried blood spots and multiplex assay
Author
Bassini, Adriana 1 ; Sartoretto, Silvia 2 ; Jurisica, Lukas 3 ; Magno-França, Alexandre 2 ; Anderson, Leigh 4 ; Pearson, Terry 4 ; Razavi, Morty 4 ; Chandran, Vinod 5 ; Martin, LeRoy 6 ; Jurisica, Igor 7 ; Cameron, L. C. 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); SOmics, Vila Velha, Brazil (GRID:grid.467095.9) 
 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) 
 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) 
 SISCAPA Assay Technologies, Inc., Washington, USA (GRID:grid.467095.9) 
 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) 
 Waters Technologies, Milford, USA (GRID:grid.433801.d) (ISNI:0000 0004 0580 039X) 
 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) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2737613370
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.