Evidence map›Paper›PMID 33663411›Full record

ArticleBMC gastroenterology2021

Gut microbiota composition and functional prediction in diarrhea-predominant irritable bowel syndrome.

Lijun Mei, Jiaoli Zhou, Yimo Su, Kunhong Mao, Jing Wu, Caicai Zhu, Ling He, Ying Cui

Open access · goldAbstract read
In one paragraph

Article in BMC gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Altered molecular signature of the intestinal microbiota in irritable bowel syndrome patients versus healthy controls: An updated systematic review.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
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  17. Effect ofFrontiers in microbiomes · 2024
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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 2 institutions in 1 country.

Lijun Mei *Jiangxi University of Traditional Chinese Medicine Affiliated Hospital, Nanchang, 330006, China.
Jiaoli Zhou *Jiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China.
Yimo SuJiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China.
Kunhong MaoJiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China.
Jing WuJiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China.
Caicai ZhuJiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China.
Ling HeJiangxi University of Traditional Chinese Medicine Affiliated Hospital, Nanchang, 330006, China. heling118@126.com.ORCID http://orcid.org/0000-0002-5198-712X
Ying CuiJiangxi Maternal and Child Health Hospital, Nanchang, 330006, China.
Jiangxi University of Traditional Chinese Medicine · CNJiangxi Maternal and Child Health Hospital · CN

Funding

Jiangxi Provincial Health Committee 2018A043
6 · The paper itself

Abstract

backgroundIrritable bowel syndrome (IBS) is common and difficult to treat and its pathogenesis is closely related to gut microbiota. However, differences in gut microbiota of patients in different regions make it more difficult to elucidate the mechanism of IBS. We performed an analysis of gut microbiota composition and functional prediction in Chinese patients with diarrhea-predominant IBS (IBS-D).

methodsFecal samples were obtained from 30 IBS-D patients and 30 healthy controls (HCs) in Nanchang, China. Using 16S gene sequence profiles, we analyzed the abundance of dominant microbiota at different taxonomy levels. Based on 16S information, Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) was used to predicting the function of gut microbiota.

resultsCompared to HCs, gut microbiota richness but not diversity was decreased in IBS-D patients. The abundant phyla Firmicutes, Fusobacteria and Actinobacteria decreased significantly, and Proteobacteria increased significantly in IBS-D patients. PICRUSt indicated that function expression of gut microbiota in IBS-D patients was up-regulated in metabolism of cofactors and vitamins, xenobiotics biodegradation and metabolism, and down-regulated in environmental adaptation, cell growth and death.

conclusionsCompared with the normal population in China, IBS-D patients are characterized by complex and unstable gut microbiota, which may influence inflammation and metabolism of the host.

Indexed as

Gastrointestinal MicrobiomeIrritable Bowel SyndromeChinaDiarrheaFecesHumansPhylogenyDiarrhea-predominant irritable bowel syndromeFunctional predictionGut microbiota

Identifiers

PMID33663411
PMCPMC7934555
OpenAlexW3133642478

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.