Literature DB >> 24760997

Metabolomics approach to assessing plasma 13- and 9-hydroxy-octadecadienoic acid and linoleic acid metabolite responses to 75-km cycling.

David C Nieman1, R Andrew Shanely2, Beibei Luo3, Mary Pat Meaney2, Dustin A Dew2, Kirk L Pappan4.   

Abstract

Bioactive oxidized linoleic acid metabolites (OXLAMs) include 13- and 9-hydroxy-octadecadienoic acid (13-HODE + 9-HODE) and have been linked to oxidative stress, inflammation, and numerous pathological and physiological states. The purpose of this study was to measure changes in plasma 13-HODE + 9-HODE following a 75-km cycling bout and identify potential linkages to linoleate metabolism and established biomarkers of oxidative stress (F2-isoprostanes) and inflammation (cytokines) using a metabolomics approach. Trained male cyclists (N = 19, age 38.0 ± 1.6 yr, wattsmax 304 ± 10.5) engaged in a 75-km cycling time trial on their own bicycles using electromagnetically braked cycling ergometers (2.71 ± 0.07 h). Blood samples were collected preexercise, immediately post-, 1.5 h post-, and 21 h postexercise, and analyzed for plasma cytokines (IL-6, IL-8, IL-10, tumor necrosis factor-α, monocyte chemoattractant protein-1, granulocyte colony-stimulating factor), F2-isoprostanes, and shifts in metabolites using global metabolomics procedures with gas chromatography mass spectrometry (GC-MS) and liquid chromatography mass spectrometry (LC-MS). 13-HODE + 9-HODE increased 3.1-fold and 1.7-fold immediately post- and 1.5 h postexercise (both P < 0.001) and returned to preexercise levels by 21-h postexercise. Post-75-km cycling plasma levels of 13-HODE + 9-HODE were not significantly correlated with increases in plasma cytokines but were positively correlated with postexercise F2-isoprostanes (r = 0.75, P < 0.001), linoleate (r = 0.54, P = 0.016), arachidate (r = 0.77, P < 0.001), 12,13-dihydroxy-9Z-octadecenoate (12,13-DiHOME) (r = 0.60, P = 0.006), dihomo-linolenate (r = 0.57, P = 0.011), and adrenate (r = 0.56, P = 0.013). These findings indicate that prolonged and intensive exercise caused a transient, 3.1-fold increase in the stable linoleic acid oxidation product 13-HODE + 9-HODE and was related to increases in F2-isoprostanes, linoleate, and fatty acids in the linoleate conversion pathway. These data support the use of 13-HODE + 9-HODE as an oxidative stress biomarker in acute exercise investigations.
Copyright © 2014 the American Physiological Society.

Entities:  

Keywords:  exercise; inflammation; linoleate; metabolites; oxidative stress

Mesh:

Substances:

Year:  2014        PMID: 24760997     DOI: 10.1152/ajpregu.00092.2014

Source DB:  PubMed          Journal:  Am J Physiol Regul Integr Comp Physiol        ISSN: 0363-6119            Impact factor:   3.619


  26 in total

1.  Skeletal muscle interstitial fluid metabolomics at rest and associated with an exercise bout: application in rats and humans.

Authors:  Jie Zhang; Sudeepa Bhattacharyya; Robert C Hickner; Alan R Light; Christopher J Lambert; Bruce K Gale; Oliver Fiehn; Sean H Adams
Journal:  Am J Physiol Endocrinol Metab       Date:  2018-11-06       Impact factor: 4.310

2.  Identification of a select metabolite panel for measuring metabolic perturbation in response to heavy exertion.

Authors:  David C Nieman; Nicholas D Gillitt; Wei Sha
Journal:  Metabolomics       Date:  2018-11-01       Impact factor: 4.290

Review 3.  Metabolomics, physical activity, exercise and health: A review of the current evidence.

Authors:  Rachel S Kelly; Michael P Kelly; Paul Kelly
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2020-08-19       Impact factor: 5.187

Review 4.  Cytochrome P450-derived linoleic acid metabolites EpOMEs and DiHOMEs: a review of recent studies.

Authors:  Kelsey Hildreth; Sean D Kodani; Bruce D Hammock; Ling Zhao
Journal:  J Nutr Biochem       Date:  2020-08-20       Impact factor: 6.048

5.  Association of Physical Activity With Bioactive Lipids and Cardiovascular Events.

Authors:  Rosangela A Hoshi; Yanyan Liu; Mohit Jain; Daniel I Chasman; Olga V Demler; Samia Mora; Heike Luttmann-Gibson; Saumya Tiwari; Franco Giulianini; Allen M Andres; Jeramie D Watrous; Nancy R Cook; Karen H Costenbader; Olivia I Okereke; Paul M Ridker; JoAnn E Manson; I-Min Lee; Manickavasagar Vinayagamoorthy; Susan Cheng; Trisha Copeland
Journal:  Circ Res       Date:  2022-07-19       Impact factor: 23.213

Review 6.  Research in the Field of Exercise and Metabolomics: A Bibliometric and Visual Analysis.

Authors:  Zhen Lv; Zhi-Gang Gong; Yong-Jiang Xu
Journal:  Metabolites       Date:  2022-06-14

Review 7.  Lipokines and Thermogenesis.

Authors:  Matthew D Lynes; Sean D Kodani; Yu-Hua Tseng
Journal:  Endocrinology       Date:  2019-10-01       Impact factor: 4.736

8.  12,13-diHOME: An Exercise-Induced Lipokine that Increases Skeletal Muscle Fatty Acid Uptake.

Authors:  Kristin I Stanford; Matthew D Lynes; Hirokazu Takahashi; Lisa A Baer; Peter J Arts; Francis J May; Adam C Lehnig; Roeland J W Middelbeek; Jeffrey J Richard; Kawai So; Emily Y Chen; Fei Gao; Niven R Narain; Giovanna Distefano; Vikram K Shettigar; Michael F Hirshman; Mark T Ziolo; Michael A Kiebish; Yu-Hua Tseng; Paul M Coen; Laurie J Goodyear
Journal:  Cell Metab       Date:  2018-05-01       Impact factor: 27.287

Review 9.  Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise.

Authors:  James A Sanford; Christopher D Nogiec; Malene E Lindholm; Joshua N Adkins; David Amar; Surendra Dasari; Jonelle K Drugan; Facundo M Fernández; Shlomit Radom-Aizik; Simon Schenk; Michael P Snyder; Russell P Tracy; Patrick Vanderboom; Scott Trappe; Martin J Walsh
Journal:  Cell       Date:  2020-06-25       Impact factor: 41.582

10.  Serum levels of oxylipins in achilles tendinopathy: an exploratory study.

Authors:  Sandra Gouveia-Figueira; Malin L Nording; Jamie E Gaida; Sture Forsgren; Håkan Alfredson; Christopher J Fowler
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

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