Evidence map›Paper›PMID 28585563›Full record

ArticleNature communications2017

Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis.

Jaeyun Sung, Seunghyeon Kim, Josephine Jill T Cabatbat, Sungho Jang, Yong-Su Jin, Gyoo Yeol Jung, Nicholas Chia, Pan-Jun Kim

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers.

0numbers the graph read from it
0cells of the map it votes in
161citing papers in PubMed
–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

161 citing papers in PubMed.

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101 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

8 authors.

Jaeyun SungAsia Pacific Center for Theoretical Physics, Pohang, Gyeongbuk 37673, Republic of Korea.
Seunghyeon KimAsia Pacific Center for Theoretical Physics, Pohang, Gyeongbuk 37673, Republic of Korea.
Josephine Jill T CabatbatAsia Pacific Center for Theoretical Physics, Pohang, Gyeongbuk 37673, Republic of Korea.
Sungho JangDepartment of Chemical Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk 37673, Republic of Korea.
Yong-Su JinDepartment of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
Gyoo Yeol JungDepartment of Chemical Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk 37673, Republic of Korea.
Nicholas ChiaMicrobiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA.
Pan-Jun KimAsia Pacific Center for Theoretical Physics, Pohang, Gyeongbuk 37673, Republic of Korea.

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

A system-level framework of complex microbe-microbe and host-microbe chemical cross-talk would help elucidate the role of our gut microbiota in health and disease. Here we report a literature-curated interspecies network of the human gut microbiota, called NJS16. This is an extensive data resource composed of ∼570 microbial species and 3 human cell types metabolically interacting through >4,400 small-molecule transport and macromolecule degradation events. Based on the contents of our network, we develop a mathematical approach to elucidate representative microbial and metabolic features of the gut microbial community in a given population, such as a disease cohort. Applying this strategy to microbiome data from type 2 diabetes patients reveals a context-specific infrastructure of the gut microbial ecosystem, core microbial entities with large metabolic influence, and frequently produced metabolic compounds that might indicate relevant community metabolic processes. Our network presents a foundation towards integrative investigations of community-scale microbial activities within the human gut.

Indexed as

Gastrointestinal MicrobiomeMetabolic Networks and PathwaysBacteriaBiological TransportDatabases as TopicDiabetes Mellitus, Type 2HumansMale

Identifiers

PMID28585563
PMCPMC5467172

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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.