Evidence map›Paper›PMID 22184244›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Metagenomic systems biology of the human gut microbiome reveals topological shifts associated with obesity and inflammatory bowel disease.

Sharon Greenblum, Peter J Turnbaugh, Elhanan Borenstein

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 381 papers.

0numbers the graph read from it
0cells of the map it votes in
381citing papers in PubMed
24.2field-weighted citation impact, top 1% 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

381 citing papers in PubMed, 858 citations in OpenAlex.

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  17. TheJournal of bacteriology · 2025
    Article
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  19. Computational analysis of the gut microbiota-mediated drug metabolism.Computational and structural biotechnology journal · 2025
    Article
  20. Dynamic changes in the pregnancy microbiome and their role in preterm birth.Frontiers in cellular and infection microbiology · 2025
    Review

321 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

3 authors at 2 institutions in 1 country.

Sharon GreenblumDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Peter J Turnbaugh
Elhanan Borenstein
University of Washington · USCenter for Systems Biology · US

Funding

THEORETICAL ANALYSIS OF FUNCTIONAL MODULESP50GM068763 · NIGMS · HARVARD UNIVERSITY · PI BENENSON, YAAKOV · 2003 to 2012
$28.9M
INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
NHGRI NIH HHS T32 HG000035NHGRI NIH HHS T32 HG00035NIGMS NIH HHS P50 GM068763
6 · The paper itself

Abstract

The human microbiome plays a key role in a wide range of host-related processes and has a profound effect on human health. Comparative analyses of the human microbiome have revealed substantial variation in species and gene composition associated with a variety of disease states but may fall short of providing a comprehensive understanding of the impact of this variation on the community and on the host. Here, we introduce a metagenomic systems biology computational framework, integrating metagenomic data with an in silico systems-level analysis of metabolic networks. Focusing on the gut microbiome, we analyze fecal metagenomic data from 124 unrelated individuals, as well as six monozygotic twin pairs and their mothers, and generate community-level metabolic networks of the microbiome. Placing variations in gene abundance in the context of these networks, we identify both gene-level and network-level topological differences associated with obesity and inflammatory bowel disease (IBD). We show that genes associated with either of these host states tend to be located at the periphery of the metabolic network and are enriched for topologically derived metabolic "inputs." These findings may indicate that lean and obese microbiomes differ primarily in their interface with the host and in the way they interact with host metabolism. We further demonstrate that obese microbiomes are less modular, a hallmark of adaptation to low-diversity environments. We additionally link these topological variations to community species composition. The system-level approach presented here lays the foundation for a unique framework for studying the human microbiome, its organization, and its impact on human health.

Indexed as

Computational BiologyDatabases, GeneticFecesGastrointestinal TractHumansInflammatory Bowel DiseasesMetabolic Networks and PathwaysMetagenomeMetagenomicsObesitySpecies SpecificityStatistics, NonparametricSystems Biology

Identifiers

PMID22184244
PMCPMC3258644
OpenAlexW2088209062

What OpenQuestion holds

Textmetadata
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.