Evidence map›Paper›PMID 40777816›Full record

ArticleJournal of clinical biochemistry and nutrition2025

Seven days of piceatannol supplementation exerted no effect on fat metabolism at rest, during and after exercise.

Nobukazu Kasai, Kanon Hayashi, Masaki Kito, Takuma Morishima

Abstract read
In one paragraph

Article in Journal of clinical biochemistry and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Nobukazu KasaiFaculty of Health and Medical Sciences, Aichi Shukutoku University, 2-9 Katahira, Nagakute, Aichi 480-1146, Japan.
Kanon HayashiFaculty of Health and Medical Sciences, Aichi Shukutoku University, 2-9 Katahira, Nagakute, Aichi 480-1146, Japan.
Masaki KitoSchool of Engineering, Chukyo University, 101 Tokodachi, Kaizu-cho, Toyota, Aichi 470-0393, Japan.
Takuma MorishimaFaculty of Liberal Arts and Sciences, Chukyo University, 101-2 Yagoto-honmachi, Showa, Nagoya, Aichi 466-8666, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Piceatannol is a type of polyphenol that is abundantly obtained from passion fruit. The present study aimed to determine the effect of 7 days of piceatannol supplementation on fat metabolism at rest, during and after low-intensity aerobic exercise. This randomized, double-blind, and crossover study included eight physically active male participants. The participants completed two experimental trials: placebo and piceatannol. They ingested either a placebo or piceatannol tablets containing 0 or 10 ‍mg of piceatannol for seven consecutive days. The participants visited the laboratory at 8:00 am after seven days. In the following baseline measurements, the participants performed 60 ‍min of pedaling exercise at 30% of their maximum oxygen uptake. Respiratory gas and blood samples were collected before, during, and after the exercise. No significant differences were found between the trials in oxygen uptake, carbon dioxide output, ventilation, and respiratory exchange ratio either at rest and during and after exercise. Similarly, serum growth hormone, cortisol, insulin, free fatty acid, glycerol, acetoacetic acid, 3-hydroxybutyric acid, and ketone body responses exhibited no significant differences between trials. These results indicate that the 7-day piceatannol supplementation did not promote fat metabolism at rest and during and after low-intensity aerobic exercise.

Indexed as

fat metabolismhormonelow-intensity exercisepiceatannolsupplementation

Identifiers

PMID40777816
PMCPMC12326246

What OpenQuestion holds

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Registered trials

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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.