Evidence map›Paper›PMID 32992898›Full record

ArticleNutrients2020

The Effect of Athletes' Probiotic Intake May Depend on Protein and Dietary Fiber Intake.

Joy Son, Lae-Guen Jang, Byung-Yong Kim, Sunghee Lee, Hyon Park

Abstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
–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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  11. The gut microbiome connects nutrition and human health.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  12. Gut microbiome composition: link between sports performance and protein absorption?Journal of the International Society of Sports Nutrition · 2024
    Article
  13. Article
  14. 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

5 authors.

Joy SonExercise Nutrition & Biochemistry Lab., KyungHee University, Yongin 17104, Korea.
Lae-Guen JangExercise Nutrition & Biochemistry Lab., KyungHee University, Yongin 17104, Korea.
Byung-Yong KimChunLab, Inc., Seocho-gu, Seoul 06725, Korea.
Sunghee LeeResearch Lab., Ildong Pharmaceutical Co., Ltd., Hwaseong 18449, Korea.
Hyon ParkExercise Nutrition & Biochemistry Lab., KyungHee University, Yongin 17104, Korea.ORCID 0000-0001-9205-7271

Funding

the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea NRF-2016S1A5A2A01023587
6 · The paper itself

Abstract

Studies investigating exercise-induced gut microbiota have reported that people who exercise regularly have a healthy gut microbial environment compared with sedentary individuals. In contrast, recent studies have shown that high protein intake without dietary fiber not only offsets the positive effect of exercise on gut microbiota but also significantly lowers the relative abundance of beneficial bacteria. In this study, to resolve this conundrum and find the root cause, we decided to narrow down subjects according to diet. Almost all of the studies had subjects on an ad libitum diet, however, we wanted subjects on a simplified diet. Bodybuilders who consumed an extremely high-protein/low-carbohydrate diet were randomly assigned to a probiotics intake group (

Indexed as

AthletesDietary SupplementsGastrointestinal MicrobiomeAdultBacteriaBifidobacterium bifidumDietDietary FiberDietary ProteinsExerciseFatty Acids, VolatileFecesFemaleHumansLactobacillusMaleDietary FiberDietary ProteinsFatty Acids, Volatileathletesbodybuilderdietary fibergut microbiotaprobioticprotein

Identifiers

PMID32992898
PMCPMC7650591

What OpenQuestion holds

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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.