Evidence map›Paper›PMID 30899534›Full record

ArticleBMJ open gastroenterology2019

Gut microbiome meta-analysis reveals dysbiosis is independent of body mass index in predicting risk of obesity-associated CRC.

K Leigh Greathouse, James Robert White, R Noah Padgett, Brittany G Perrotta, Gregory D Jenkins, Nicholas Chia, Jun Chen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 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

7 authors at 4 institutions in 1 country.

K Leigh GreathouseNutrition Sciences Division, Robbins College of Health and Human Science, Baylor University, Waco, Texas, USA.ORCID 0000-0002-6855-8516
James Robert WhiteResphera Biosciences, Baltimore, Maryland, USA.
R Noah PadgettDepartment of Educational Psychology, Baylor University, Waco, Texas, USA.
Brittany G PerrottaDepartment of Biology, Baylor University, Waco, Texas, USA.
Gregory D JenkinsDepartment of Surgery, Mayo Clinic, Rochester, New York, USA.
Nicholas ChiaDepartment of Surgery, Mayo Clinic, Rochester, New York, USA.
Jun ChenDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, New York, USA.
Baylor University · USMayo Clinic · USMayo Clinic in Florida · USResphera Biosciences · US

Funding

Microbial Metabolic Toxicity Drives Colon CancerR01CA179243 · NCI · MAYO CLINIC ROCHESTER · PI CHIA, NICHOLAS · 2014 to 2018
$2.0M
NCI NIH HHS R01 CA179243
6 · The paper itself

Abstract

objectiveObesity is a risk factor for colorectal cancer (CRC), accounting for more than 14% of CRC incidence. Microbial dysbiosis and chronic inflammation are common characteristics in both obesity and CRC. Human and murine studies, together, demonstrate the significant impact of the microbiome in governing energy metabolism and CRC development; yet, little is understood about the contribution of the microbiome to development of obesity-associated CRC as compared to individuals who are not obese.

designIn this study, we conducted a meta-analysis using five publicly available stool and tissue-based 16S rRNA and whole genome sequencing (WGS) data sets of CRC microbiome studies. High-resolution analysis was employed for 16S rRNA data, which allowed us to achieve species-level information to compare with WGS.

resultsCharacterisation of the confounders between studies, 16S rRNA variable region and sequencing method did not reveal any significant effect on alpha diversity in CRC prediction. Both 16S rRNA and WGS were equally variable in their ability to predict CRC. Results from diversity analysis confirmed lower diversity in obese individuals without CRC; however, no universal differences were found in diversity between obese and non-obese individuals with CRC. When examining taxonomic differences, the probability of being classified as CRC did not change significantly in obese individuals for all taxa tested. However, random forest classification was able to distinguish CRC and non-CRC stool when body mass index was added to the model.

conclusionOverall, microbial dysbiosis was not a significant factor in explaining the higher risk of colon cancer among individuals with obesity.

Indexed as

colonic bacteriacolorectal cancerobesity

Identifiers

PMID30899534
PMCPMC6398873
OpenAlexW2953358317

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.