Evidence map›Paper›PMID 37071621›Full record

ArticlePloS one2023

Seasonal variations in gut microbiota and disease course in patients with inflammatory bowel disease.

Mizuki Tani, Shinichiro Shinzaki, Akiko Asakura, Taku Tashiro, Takahiro Amano, Yuriko Otake-Kasamoto, Takeo Yoshihara, Shunsuke Yoshii, Yoshiki Tsujii, Yoshito Hayashi and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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  5. 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

15 authors at 2 institutions in 1 country.

Mizuki TaniDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID 0000-0002-6808-4736
Shinichiro ShinzakiDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.
Akiko AsakuraDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.
Taku TashiroDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.
Takahiro AmanoDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.
Yuriko Otake-KasamotoDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.
Takeo YoshiharaDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.
Shunsuke YoshiiDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.
Yoshiki TsujiiDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.
Yoshito HayashiDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.
Takahiro InoueDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.
Daisuke MotookaGenome Information Research Centre, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka.
Shota NakamuraGenome Information Research Centre, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka.
Hideki IijimaDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.
Tetsuo TakeharaDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID 0000-0001-5036-3457
The University of Osaka · JPOsaka Police Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimEnvironmental factors are associated with onset and course of inflammatory bowel disease (IBD). Our previous study by about 1,100 IBD patients revealed half of the patients experienced seasonal exacerbation of disease. We investigated the seasonality of fecal microbiota composition of IBD patients.

methodsFecal samples were consecutively collected in each season from IBD outpatients and healthy controls between November 2015 and April 2019. Participants who were treated with full elemental diet or antibiotics within 6 months or had ostomates were excluded. Bacterial profiles were analyzed by 16S rRNA sequencing, and the changes between the diseases and seasons were compared.

resultsA total of 188 fecal samples were analyzed from 47 participants comprising 19 Crohn's disease (CD) patients, 20 ulcerative colitis (UC) patients, and 8 healthy controls (HC). In CD patients, the phylum Actinobacteria and TM7 were both significantly more abundant in autumn than in spring and winter, but not in UC patients and HC. Moreover, the genera Actinomyces, a member of Actinobacteria, and c_TM7-3;o_;f_;g_ (TM7-3), that of TM7, were significantly more abundant in autumn than in spring, and the abundance of Actinomyces was significantly correlated with that of TM7-3 throughout the year in CD patients, but not in UC patients and HC. CD patients with high abundance of TM7-3 in the autumn required significantly fewer therapeutic intervention than those without seasonal fluctuation.

conclusionsOral commensals Actinomyces and its symbiont TM7-3 were correlatively fluctuated in the feces of CD patients by season, which could affect the disease course.

Indexed as

Colitis, UlcerativeCrohn DiseaseGastrointestinal MicrobiomeInflammatory Bowel DiseasesBacteriaDisease ProgressionFecesHumansRNA, Ribosomal, 16SSeasonsRNA, Ribosomal, 16S

Identifiers

PMID37071621
PMCPMC10112787
OpenAlexW4366236502

What OpenQuestion holds

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LicenceCC BY
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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.