Evidence map›Paper›PMID 28111203›Full record

ArticleCell host & microbe2017

Systematic Characterization and Analysis of the Taxonomic Drivers of Functional Shifts in the Human Microbiome.

Ohad Manor, Elhanan Borenstein

Abstract read
In one paragraph

Article in Cell host & microbe, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

70 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Oral administration ofFrontiers in veterinary science · 2023
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10 more citing papers are in PubMed but not listed here.

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

2 authors.

Ohad ManorDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Elhanan BorensteinDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA; Santa Fe Institute, Santa Fe, NM 87501, USA. Electronic address: elbo@uw.edu.

Funding

A Computational Framework for Designing Microbiome ManipulationDP2AT007802 · NCCIH · UNIVERSITY OF WASHINGTON · PI BORENSTEIN, ELHANAN · 2012 to 2012
$2.3M
NCCIH NIH HHS DP2 AT007802
6 · The paper itself

Abstract

Comparative analyses of the human microbiome have identified both taxonomic and functional shifts that are associated with numerous diseases. To date, however, microbiome taxonomy and function have mostly been studied independently and the taxonomic drivers of functional imbalances have not been systematically identified. Here, we present FishTaco, an analytical and computational framework that integrates taxonomic and functional comparative analyses to accurately quantify taxon-level contributions to disease-associated functional shifts. Applying FishTaco to several large-scale metagenomic cohorts, we show that shifts in the microbiome's functional capacity can be traced back to specific taxa. Furthermore, the set of taxa driving functional shifts and their contribution levels vary markedly between functions. We additionally find that similar functional imbalances in different diseases are driven by both disease-specific and shared taxa. Such integrated analysis of microbiome ecological and functional dynamics can inform future microbiome-based therapy, pinpointing putative intervention targets for manipulating the microbiome's functional capacity.

Indexed as

Computational BiologyMicrobiotaSoftwareActinobacteriaBacillotaBacteroidesCommunicable DiseasesDatabases, GeneticDiabetes Mellitus, Type 2Genome, MicrobialHumansMetagenomicsPhylogenyProteobacteriacomparative analysiscompositional shiftsfunctional metagenomicshuman microbiomeintegrative analysismicrobial driversmulti-omicstaxonomic profiling

Identifiers

PMID28111203
PMCPMC5316541

What OpenQuestion holds

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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.