Literature DB >> 23984841

Serum metabolic signatures induced by a three-day intensified exercise period persist after 14 h of recovery in runners.

David C Nieman1, R Andrew Shanely, Nicholas D Gillitt, Kirk L Pappan, Mary Ann Lila.   

Abstract

This study investigated changes in the human serum metabolome elicited by a 3-day period of intensified training. Runners (N = 15, mean ± SD age, 35.2 ± 8.7 years) ran for 2.5 h/day on treadmills at ∼70% VO2max for 3 days in a row, with blood samples collected pre-exercise, and immediately and 14 h post-exercise. Samples were analyzed using gas and liquid chromatography/mass spectrometry (GC-MS, LC-MS), with compounds identified based on comparison to more than 2800 purified standards. Repeated measures ANOVA was used to identify metabolites that differed significantly across time, with multiple testing corrected by the false discovery rate (FDR) (q-value). Immediately following the 3-day exercise period, significant 2-fold or higher increases in 75 metabolites were measured, with all but 22 of these metabolites related to lipid/carnitine metabolism, 13 to amino acid/peptide metabolism, 4 to hemoglobin/porphyrin metabolism, and 3 to Krebs cycle intermediates (q-values < 0.001). After a 14 h overnight recovery period, 50 of the 75 metabolites remained elevated, with 8 decreased (primarily amino acid-related metabolites) (q-values < 0.05). Among the top 20 metabolites, the mean fold changes were 12.4 ± 5.3 and 2.9 ± 1.3 immediately and 14-h post-exercise, respectively. Significant decreases (40-70%, q < 0.01) in 22 metabolites (primarily related to lysolipid and bile acid metabolism) were measured post-exercise, with all but 4 of these still decreased after 14 h rest recovery (q < 0.025). Runners experienced a profound systemic shift in blood metabolites related to energy production especially from the lipid super pathway following 3 days of heavy exertion that was not fully restored to pre-exercise levels after 14 h recovery.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23984841     DOI: 10.1021/pr400717j

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  36 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.  High-fat diet-induced β-cell proliferation occurs prior to insulin resistance in C57Bl/6J male mice.

Authors:  Rockann E Mosser; Matthew F Maulis; Valentine S Moullé; Jennifer C Dunn; Bethany A Carboneau; Kavin Arasi; Kirk Pappan; Vincent Poitout; Maureen Gannon
Journal:  Am J Physiol Endocrinol Metab       Date:  2015-01-27       Impact factor: 4.310

3.  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

4.  Lipid profile of human synovial fluid following intra-articular ankle fracture.

Authors:  Elizabeth M Leimer; Kirk L Pappan; Dana L Nettles; Richard D Bell; Mark E Easley; Steven A Olson; Lori A Setton; Samuel B Adams
Journal:  J Orthop Res       Date:  2016-03-14       Impact factor: 3.494

5.  Women with preterm birth have a distinct cervicovaginal metabolome.

Authors:  Jeny Ghartey; Jamie A Bastek; Amy G Brown; Laura Anglim; Michal A Elovitz
Journal:  Am J Obstet Gynecol       Date:  2015-03-28       Impact factor: 8.661

Review 6.  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 7.  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

8.  Metabolomic analysis of Shiga toxin 2a-induced injury in conditionally immortalized glomerular endothelial cells.

Authors:  Christian Patry; Kathrin Plotnicki; Christian Betzen; Alba Perez Ortiz; Kirk L Pappan; Simon C Satchell; Peter W Mathieson; Martina Bielaszewska; Helge Karch; Burkhard Tönshoff; Neysan Rafat
Journal:  Metabolomics       Date:  2019-10-01       Impact factor: 4.290

9.  N-lactoyl-amino acids are ubiquitous metabolites that originate from CNDP2-mediated reverse proteolysis of lactate and amino acids.

Authors:  Robert S Jansen; Ruben Addie; Remco Merkx; Alexander Fish; Sunny Mahakena; Onno B Bleijerveld; Maarten Altelaar; Lodewijk IJlst; Ronald J Wanders; P Borst; Koen van de Wetering
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-11       Impact factor: 11.205

10.  Plasma metabolomic profiles of breast cancer patients after short-term limonene intervention.

Authors:  Jessica A Miller; Kirk Pappan; Patricia A Thompson; Elizabeth J Want; Alexandros P Siskos; Hector C Keun; Jacob Wulff; Chengcheng Hu; Julie E Lang; H-H Sherry Chow
Journal:  Cancer Prev Res (Phila)       Date:  2014-11-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.