Evidence map›Paper›PMID 25202708›Full record

ArticleBioMed research international2014

Systematic analysis of the association between gut flora and obesity through high-throughput sequencing and bioinformatics approaches.

Chih-Min Chiu, Wei-Chih Huang, Shun-Long Weng, Han-Chi Tseng, Chao Liang, Wei-Chi Wang, Ting Yang, Tzu-Ling Yang, Chen-Tsung Weng, Tzu-Hao Chang and 1 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

60 citing papers in PubMed, 110 citations in OpenAlex.

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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

11 authors at 5 institutions in 1 country.

Chih-Min ChiuInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 300, Taiwan.
Wei-Chih HuangInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 300, Taiwan.
Shun-Long WengInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 300, Taiwan ; Department of Obstetrics and Gynecology, Hsinchu Mackay Memorial Hospital, Hsinchu 300, Taiwan ; Mackay Medicine, Nursing and Management College, Taipei 104, Taiwan ; Department of Medicine, Mackay Medical College, New Taipei City 251, Taiwan.
Han-Chi TsengTseng Han-Chi General Hospital, Nantou 542, Taiwan.
Chao LiangHealth GeneTech Corporation, Taoyuan 330, Taiwan.
Wei-Chi WangHealth GeneTech Corporation, Taoyuan 330, Taiwan.
Ting YangInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 300, Taiwan.
Tzu-Ling YangInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 300, Taiwan.
Chen-Tsung WengHealth GeneTech Corporation, Taoyuan 330, Taiwan.
Tzu-Hao ChangGraduate Institute of Biomedical Informatics, Taipei Medical University, Taipei 110, Taiwan.
Hsien-Da HuangInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 300, Taiwan ; Department of Biological Science and Technology, National Chiao Tung University, Hsinchu 300, Taiwan ; Center for Bioinformatics Research, National Chiao Tung University, Hsinchu 300, Taiwan ; Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
National Yang Ming Chiao Tung University · TWBuddhist Tzu Chi General Hospital · TWKaohsiung Medical University · TWMackay Memorial Hospital · TWTaipei Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eighty-one stool samples from Taiwanese were collected for analysis of the association between the gut flora and obesity. The supervised analysis showed that the most, abundant genera of bacteria in normal samples (from people with a body mass index (BMI) ≤ 24) were Bacteroides (27.7%), Prevotella (19.4%), Escherichia (12%), Phascolarctobacterium (3.9%), and Eubacterium (3.5%). The most abundant genera of bacteria in case samples (with a BMI ≥ 27) were Bacteroides (29%), Prevotella (21%), Escherichia (7.4%), Megamonas (5.1%), and Phascolarctobacterium (3.8%). A principal coordinate analysis (PCoA) demonstrated that normal samples were clustered more compactly than case samples. An unsupervised analysis demonstrated that bacterial communities in the gut were clustered into two main groups: N-like and OB-like groups. Remarkably, most normal samples (78%) were clustered in the N-like group, and most case samples (81%) were clustered in the OB-like group (Fisher's P  value = 1.61E - 07). The results showed that bacterial communities in the gut were highly associated with obesity. This is the first study in Taiwan to investigate the association between human gut flora and obesity, and the results provide new insights into the correlation of bacteria with the rising trend in obesity.

Indexed as

AdultAgedAged, 80 and overBacteriaBiodiversityBiomarkersBody WeightCase-Control StudiesCluster AnalysisComputational BiologyFemaleGastrointestinal TractHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedBiomarkers

Identifiers

PMID25202708
PMCPMC4150407
OpenAlexW1979087912

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.