IL-6 Linkage To Exercise-Induced Shifts In Lipid-Related Metabolites: A Metabolomics-Based Analysis

ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
Dr.. David Nieman, Director (Creator)
Institution
Appalachian State University (ASU )
Web Site: https://library.appstate.edu/

Abstract: Metabolomics profiling and bioinformatics technologies were Substantial increase In used to determine the relationship between exercise-induced increases in IL-6 and lipid-related metabolites 6 and lipid-related metabolites. Twenty-four male runners (age 36.5 +/- 1.8 y) ran on treadmills to exhaustion (2.26 +/- 0.01 h, 24.9 +/- 1.3km, 69.7 +/- 1.9% Vastus lateralis muscle biopsy and blood samples were collected before and immediately after running and showed a 33.7 +/- 4.2% decrease in muscle glycogen, 39.0 +/- 8.8-, 2.4 +/- 0.3-, and 1.4 +/- 0.1-fold increases in plasma IL-6, IL-8, and MCP-1, respectively, and 95.0 +/- 18.9 and 158 20.6% increases in cortisol and epinephrine, respectively (all, P < 0.001). The metabolomics analysis revealed changes in 209 metabolites, especially long- and medium-chain fatty acids, fatty acid oxidation products (dicarboxylate and monohydroxy fatty acids, acylcarnitines), and ketone bodies. OPLS-DA modeling supported a strong separation in pre- and post-exercise samples (R2Y = 0.964, Q2Y = 0.902). OPLSR analysis failed to produce a viable model for the relationship between IL-6 and all lipid-related metabolites (R2Y = 0.76, Q2Y = -0.0748). Multiple structure equation models were evaluated based on IL-6, with the best-fit pathway model showing a linkage of exercise time to IL-6, then camitine, and 13-methylmyristic acid (a marker for adipose tissue lipolysis) and sebacate. These metabolomics-based data indicate that the increase in plasma IL-6 after long endurance running has a minor relationship to increases in lipid related metabolites.

Additional Information

Publication
Nieman, D. 2017. IL-6 Linkage to Exercise-Induced Shifts In Lipid-Related Metabolites: A Metabolomics-Based Analysis. Journal of Proteome Research. V 16.2. Pg 970-977. DOI: 10.1021/acs.jproteome.6b00892.
Language: English
Date: 2017
Keywords
running, interleukin-6, metabolomics, cortisol, epinephrine

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