Evidence map›Paper›PMID 22616015›Full record

Trial reportPloS one2012

Bananas as an energy source during exercise: a metabolomics approach.

David C Nieman, Nicholas D Gillitt, Dru A Henson, Wei Sha, R Andrew Shanely, Amy M Knab, Lynn Cialdella-Kam, Fuxia Jin

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Metabolomics in Exercise and Sports: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2022
    Pooled it
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  13. The exercise metabolome: acute aerobic and anaerobic signatures.Journal of the International Society of Sports Nutrition · 2022
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  17. Grape polyphenols supplementation for exercise-induced oxidative stress.Journal of the International Society of Sports Nutrition · 2021
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

David C NiemanHuman Performance Laboratory, Appalachian State University, North Carolina Research Campus, Kannapolis, North Carolina, United States of America. niemandc@appstate.edu
Nicholas D Gillitt
Dru A Henson
Wei Sha
R Andrew Shanely
Amy M Knab
Lynn Cialdella-Kam
Fuxia Jin
Appalachian State University · USDavid H. Murdock Research Institute · USUniversity of North Carolina at Charlotte · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study compared the acute effect of ingesting bananas (BAN) versus a 6% carbohydrate drink (CHO) on 75-km cycling performance and post-exercise inflammation, oxidative stress, and innate immune function using traditional and metabolomics-based profiling. Trained cyclists (N = 14) completed two 75-km cycling time trials (randomized, crossover) while ingesting BAN or CHO (0.2 g/kg carbohydrate every 15 min). Pre-, post-, and 1-h-post-exercise blood samples were analyzed for glucose, granulocyte (GR) and monocyte (MO) phagocytosis (PHAG) and oxidative burst activity, nine cytokines, F₂-isoprostanes, ferric reducing ability of plasma (FRAP), and metabolic profiles using gas chromatography-mass spectrometry. Blood glucose levels and performance did not differ between BAN and CHO (2.41±0.22, 2.36±0.19 h, P = 0.258). F₂-isoprostanes, FRAP, IL-10, IL-2, IL-6, IL-8, TNFα, GR-PHAG, and MO-PHAG increased with exercise, with no trial differences except for higher levels during BAN for IL-10, IL-8, and FRAP (interaction effects, P = 0.003, 0.004, and 0.012). Of 103 metabolites detected, 56 had exercise time effects, and only one (dopamine) had a pattern of change that differed between BAN and CHO. Plots from the PLS-DA model visualized a distinct separation in global metabolic scores between time points [R²Y(cum) = 0.869, Q²(cum) = 0.766]. Of the top 15 metabolites, five were related to liver glutathione production, eight to carbohydrate, lipid, and amino acid metabolism, and two were tricarboxylic acid cycle intermediates. BAN and CHO ingestion during 75-km cycling resulted in similar performance, blood glucose, inflammation, oxidative stress, and innate immune levels. Aside from higher dopamine in BAN, shifts in metabolites following BAN and CHO 75-km cycling time trials indicated a similar pattern of heightened production of glutathione and utilization of fuel substrates in several pathways.

Indexed as

ExerciseAdultBicyclingBlood GlucoseCross-Over StudiesCytokinesDietary CarbohydratesDopamineEnergy MetabolismF2-IsoprostanesHumansInterleukinsMaleMetabolomicsMusaOxidative StressBlood GlucoseCytokinesDietary CarbohydratesDopamineF2-IsoprostanesInterleukins

Identifiers

PMID22616015
PMCPMC3355124
OpenAlexW2112129141

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.