Evidence map›Paper›PMID 31192167›Full record

ArticleFrontiers in cellular and infection microbiology2019

Multi-omics Analysis of Gut Microbiota and Metabolites in Rats With Irritable Bowel Syndrome.

Si Liu, Chaozeng Si, Yang Yu, Guiping Zhao, Lei Chen, Yu Zhao, Zheng Zhang, Hengcun Li, Yang Chen, Li Min and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2019. 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
0.9field-weighted citation impact, top 27% 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, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2020
    Article
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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

12 authors at 5 institutions in 1 country.

Si LiuBeijing Key Laboratory for Precancerous Lesion of Digestive Disease, Department of Gastroenterology, Beijing Friendship Hospital, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Capital Medical University, Beijing, China.
Chaozeng SiDepartment of Operations and Information Management, China-Japan Friendship Hospital, Beijing, China.
Yang YuBeijing Key Laboratory for Precancerous Lesion of Digestive Disease, Department of Gastroenterology, Beijing Friendship Hospital, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Capital Medical University, Beijing, China.
Guiping ZhaoBeijing Key Laboratory for Precancerous Lesion of Digestive Disease, Department of Gastroenterology, Beijing Friendship Hospital, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Capital Medical University, Beijing, China.
Lei ChenBeijing Key Laboratory for Precancerous Lesion of Digestive Disease, Department of Gastroenterology, Beijing Friendship Hospital, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Capital Medical University, Beijing, China.
Yu ZhaoBeijing Key Laboratory for Precancerous Lesion of Digestive Disease, Department of Gastroenterology, Beijing Friendship Hospital, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Capital Medical University, Beijing, China.
Zheng ZhangBeijing Key Laboratory for Precancerous Lesion of Digestive Disease, Department of Gastroenterology, Beijing Friendship Hospital, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Capital Medical University, Beijing, China.
Hengcun LiBeijing Key Laboratory for Precancerous Lesion of Digestive Disease, Department of Gastroenterology, Beijing Friendship Hospital, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Capital Medical University, Beijing, China.
Yang ChenMOE Key Laboratory of Bioinformatics, BNRist, Department of Automation, Bioinformatics Division, Center for Synthetic and Systems Biology, Tsinghua University, Beijing, China.
Li MinBeijing Key Laboratory for Precancerous Lesion of Digestive Disease, Department of Gastroenterology, Beijing Friendship Hospital, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Capital Medical University, Beijing, China.
Shutian ZhangBeijing Key Laboratory for Precancerous Lesion of Digestive Disease, Department of Gastroenterology, Beijing Friendship Hospital, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Capital Medical University, Beijing, China.
Shengtao ZhuBeijing Key Laboratory for Precancerous Lesion of Digestive Disease, Department of Gastroenterology, Beijing Friendship Hospital, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Capital Medical University, Beijing, China.
Capital Medical University · CNBeijing Friendship Hospital · CNNational Clinical Research Center for Digestive Diseases · CNChina-Japan Friendship Hospital · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Irritable bowel syndrome (IBS) is a common gastrointestinal dysfunctional disease. The pathophysiology of IBS is, however, largely unknown. This study aimed to determine whether evaluation of fecal metabolite and microbiota profiles may offer an opportunity to identify a novel pathophysiological target for IBS, and to reveal possible gut microbe-metabolite associations. By using gas chromatography coupled to time-of-flight mass spectrometry (GC-TOFMS) and 16S rRNA gene sequencing, we measured fecal metabolites and microbiota of the control and water avoidance stress (WAS)-induced IBS rats. We found a significantly differential metabolite profile between the IBS and control groups; a cluster of metabolites was also found to be significantly associated with the amount of defecations. Moreover, the WAS group exhibited a decreased alpha diversity of the microbial population as compared to the control group. However, the characteristics of gut microbiota could not differentiate the IBS group from the control group. Correlation of the metabolite level with the number of microbial genera showed no significant association between the control and IBS groups. This study provides a global perspective on metabolomics and microbiota profiling in WAS-induced IBS model and a theoretical basis for research on the pathophysiology of IBS.

Indexed as

AnimalsBiodiversityCluster AnalysisDisease Models, AnimalFecesGastrointestinal MicrobiomeIrritable Bowel SyndromeMaleMetabolomeMetabolomicsRatsRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNA gene sequencingcorrelation analysisfecal metabolomics profilingirritable bowel syndrome (IBS)water avoidance stress (WAS)

Identifiers

PMID31192167
PMCPMC6549239
OpenAlexW2947406441

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.