Cited by 119Exercise and Physiological ResponsesPhytochemicals and Antioxidant ActivitiesMuscle metabolism and nutrition

Influence of a Polyphenol-Enriched Protein Powder on Exercise-Induced Inflammation and Oxidative Stress in Athletes: A Randomized Trial Using a Metabolomics Approach

Open access
Nieman, David C., Gillitt, Nicholas D., Knab, Amy M., Shanely, R. Andrew, Pappan, Kirk L., Jin, Fuxia, Lila, Mary Ann·2013·PLoS ONE

Abstract

OBJECTIVES: Polyphenol supplementation was tested as a countermeasure to inflammation and oxidative stress induced by 3-d intensified training. METHODS: Water soluble polyphenols from blueberry and green tea extracts were captured onto a polyphenol soy protein complex (PSPC). Subjects were recruited, and included 38 long-distance runners ages 19-45 years who regularly competed in road races. Runners successfully completing orientation and baseline testing (N = 35) were randomized to 40 g/d PSPC (N = 17) (2,136 mg/d gallic acid equivalents) or placebo (N = 18) for 17 d using double-blinded methods and a parallel group design, with a 3-d running period inserted at day 14 (2.5 h/d, 70% VO2max). Blood samples were collected pre- and post-14 d supplementation, and immediately and 14 h after the third day of running in subjects completing all aspects of the study (N = 16 PSPC, N = 15 placebo), and analyzed using a metabolomics platform with GC-MS and LC-MS. RESULTS: Metabolites characteristic of gut bacteria metabolism of polyphenols were increased with PSPC and 3 d running (e.g., hippurate, 4-hydroxyhippurate, 4-methylcatechol sulfate, 1.8-, 1.9-, 2.5-fold, respectively, P<0.05), an effect which persisted for 14-h post-exercise. Fatty acid oxidation and ketogenesis were induced by exercise in both groups, with more ketones at 14-h post-exercise in PSPC (3-hydroxybutyrate, 1.8-fold, P<0.05). Established biomarkers for inflammation (CRP, cytokines) and oxidative stress (protein carbonyls) did not differ between groups. CONCLUSIONS: PSPC supplementation over a 17-d period did not alter established biomarkers for inflammation and oxidative stress but was linked to an enhanced gut-derived phenolic signature and ketogenesis in runners during recovery from 3-d heavy exertion. TRIAL REGISTRATION: ClinicalTrials.gov, U.S. National Institutes of Health, identifier: NCT01775384.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0072215

Cites

50 of 50 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Polyphenol supplementation with blueberry and green tea extracts increased metabolites characteristic of gut bacteria polyphenol metabolism and ketogenesis in runners during recovery from 3-d heavy exertion.

    “Polyphenol supplementation with blueberry and green tea extracts increased the metabolites characteristic of gut bacteria polyphenol metabolism and ketogenesis in runners during recovery from 3-d heavy exertion [120]”
  • Polyphenol supplementation with blueberry and green tea extracts did not alter established inflammation and oxidative stress in runners during recovery from 3-d heavy exertion.

    “Polyphenol supplementation with blueberry and green tea extracts (as an ibuprofen substitute) did not alter the established inflammation and oxidative stress, but increased amounts of metabolites characteristic of gut bacteria polyphenol metabolism (e.g., hippurate, 4-hydroxyhippuric, 4-methylcatechol sulfate) and ketogenesis in runners during recovery from 3-d heavy exertion [151].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Nieman, D. C., Gillitt, N. D., Knab, A. M., Shanely, R. A., Pappan, K. L., Jin, F., & Lila, M. A.
Affiliations
  • Appalachian State University (US)
  • Metabolon (United States) (US)
  • North Carolina State University (US)
Corresponding author
Nieman, David C.
Venue
PLoS ONE
Published
2013-08-15
Volume
8
Issue
8
Pages
e72215
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2075142095
Cited by
119
References
50
Citations by year
2026: 6 · 2025: 12 · 2024: 9 · 2023: 8 · 2022: 9 · 2021: 13 · 2020: 10 · 2019: 7 · 2018: 11 · 2017: 8 · 2016: 5 · 2015: 9 · 2014: 12
FWCI
9.25
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Topics
  • Health Sciences › Medicine › Rehabilitation › Exercise and Physiological Responses
  • Health Sciences › Medicine › Biochemistry › Phytochemicals and Antioxidant Activities
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Muscle metabolism and nutrition
Keywords
exercise-induced inflammation, oxidative stress, long-distance runners, blueberry extract, green tea extract, hippurate, ketogenesis, beta-hydroxybutyrate, fatty acid oxidation, post-exercise recovery, C-reactive protein, protein carbonyls, metabolomics
MeSH terms
Adult, Antioxidants, Female, Humans, Inflammation, Male, Plant Extracts, Biomarkers, Exercise, Cytokines, Oxidative Stress, Inflammation Mediators, Dietary Supplements, Metabolomics, Metabolome, Athletes, Polyphenols

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review