Evidence map›Paper›PMID 32806561›Full record

ArticleNutrients2020

Impacts of Habitual Diets Intake on Gut Microbial Counts in Healthy Japanese Adults.

Takuya Sugimoto, Tatsuichiro Shima, Ryuta Amamoto, Chiaki Kaga, Yukiko Kado, Osamu Watanabe, Junko Shiinoki, Kaoru Iwazaki, Hiroko Shigemura, Hirokazu Tsuji and 1 more

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Review
  3. Effect of long-term consumption ofBioscience of microbiota, food and health · 2025
    Article
  4. Article
  5. Review
  6. Review
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

11 authors.

Takuya SugimotoYakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan.
Tatsuichiro ShimaYakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan.
Ryuta AmamotoYakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan.
Chiaki KagaYakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan.
Yukiko KadoYakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan.
Osamu WatanabeDevelopment Department, Yakult Honsha Co., Ltd., 1-10-30 Kaigan, Minato-ku, Tokyo 105-8660, Japan.
Junko ShiinokiDevelopment Department, Yakult Honsha Co., Ltd., 1-10-30 Kaigan, Minato-ku, Tokyo 105-8660, Japan.
Kaoru IwazakiCorporate Planning Office, Yakult Honsha Co., Ltd., 1-10-30 Kaigan, Minato-ku, Tokyo 105-8660, Japan.
Hiroko ShigemuraCorporate Planning Office, Yakult Honsha Co., Ltd., 1-10-30 Kaigan, Minato-ku, Tokyo 105-8660, Japan.
Hirokazu TsujiYakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan.
Satoshi MatsumotoYakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although diet is an important factor influencing gut microbiota, there are very few studies regarding that relationship in Japanese people. Here, we analyzed the relationship between habitual dietary intake surveyed by food frequency questionnaire and the quantitative features of gut bacteria by quantitative PCR and next generation sequencer in 354 healthy Japanese adults. The α-diversity of gut microbiota was positively correlated with the intake of mushrooms and beans and negatively correlated with the intake of grains. The β-diversity was significantly associated with the intake of fruits, mushrooms, seaweeds, seafoods, and alcoholic beverages. Multiple linear regression analysis of the relationship between food groups associated with the diversity of gut microbiota and the number of gut bacteria at the genus level found 24 significant associations, including a positive association between alcoholic beverages and the number of

Indexed as

AdultAgaricalesColony Count, MicrobialDietDiet SurveysEatingEdible GrainFabaceaeFeeding BehaviorFemaleGastrointestinal MicrobiomeHealthy VolunteersHigh-Throughput Nucleotide SequencingHumansJapanLinear Modelsgut bacterial countsgut microbiotahabitual dietshealthy populationJapanese

Identifiers

PMID32806561
PMCPMC7468936

What OpenQuestion holds

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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.