Evidence map›Paper›PMID 31262998›Full record

ArticleMolecular & cellular proteomics : MCP2019

Associations of the Fecal Microbial Proteome Composition and Proneness to Diet-induced Obesity.

Hao Q Tran, Robert H Mills, Nicole V Peters, Mary K Holder, Geert J de Vries, Rob Knight, Benoit Chassaing, David J Gonzalez, Andrew T Gewirtz

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

Article in Molecular & cellular proteomics : MCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 14 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

9 authors at 3 institutions in 2 countries.

Hao Q Tran‡Center for Inflammation, Immunity and Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA.
Robert H Mills§Department of Pharmacology, University of California, San Diego, CA; ¶Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, CA; ‖Department of Pediatrics, and Department of Computer Science and Engineering, University of California, San Diego, CA; **Center for Microbiome Innovation, University of California, San Diego, CA.
Nicole V Peters‡‡Neuroscience Institute, Georgia State University, Atlanta, GA.
Mary K Holder‡‡Neuroscience Institute, Georgia State University, Atlanta, GA; §§School of Psychology, Georgia Institute of Technology, Atlanta, GA 30332.
Geert J de Vries‡‡Neuroscience Institute, Georgia State University, Atlanta, GA.
Rob Knight‖Department of Pediatrics, and Department of Computer Science and Engineering, University of California, San Diego, CA; **Center for Microbiome Innovation, University of California, San Diego, CA.
Benoit Chassaing‡Center for Inflammation, Immunity and Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA; ‡‡Neuroscience Institute, Georgia State University, Atlanta, GA.
David J Gonzalez§Department of Pharmacology, University of California, San Diego, CA; ¶Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, CA; **Center for Microbiome Innovation, University of California, San Diego, CA. Electronic address: djgonzalez@ucsd.edu.
Andrew T Gewirtz‡Center for Inflammation, Immunity and Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA. Electronic address: agewirtz@gsu.edu.
Georgia State University · USUniversity of California San Diego · USGeorgia Institute of Technology · US

Funding

Pathophysiology of TLR5KO ColitisR01DK083890 · NIDDK · GEORGIA STATE UNIVERSITY · PI GEWIRTZ, ANDREW T · 2010 to 2023
$5.0M
DECONSTRUCTING INFLAMMATION AND ALTERED MICROBIOTA IN METABOLIC SYNDROMER01DK099071 · NIDDK · GEORGIA STATE UNIVERSITY · PI GEWIRTZ, ANDREW T · 2013 to 2024
$4.8M
NIDDK NIH HHS R01 DK083890NIDDK NIH HHS R01 DK099071
6 · The paper itself

Abstract

Consumption of refined high-fat, low-fiber diets promotes development of obesity and its associated consequences. Although genetics play an important role in dictating susceptibility to such obesogenic diets, mice with nearly uniform genetics exhibit marked heterogeneity in their extent of obesity in response to such diets. This suggests non-genetic determinants play a role in diet-induced obesity. Hence, we sought to identify parameters that predict, and/or correlate with, development of obesity in response to an obesogenic diet. We assayed behavior, metabolic parameters, inflammatory markers/cytokines, microbiota composition, and the fecal metaproteome, in a cohort of mice (

Indexed as

AnimalsBody CompositionDiet, High-FatDiet, WesternFecesFemaleFlagellinGastrointestinal MicrobiomeImmunoglobulin AInflammation MediatorsLipocalin-2Metabolic SyndromeMice, Inbred C57BLObesityProteomeRNA, Ribosomal, 16SFlagellinImmunoglobulin AInflammation MediatorsLcn2 protein, mouseLipocalin-2ProteomeRNA, Ribosomal, 16SImmunology*Mass SpectrometryMicrobiomeMouse modelsObesityOmics

Identifiers

PMID31262998
PMCPMC6731084
OpenAlexW2953493704

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.