Evidence map›Paper›PMID 32591517›Full record

ArticleScientific data2020

Large-scale metabolic interaction network of the mouse and human gut microbiota.

Roktaek Lim, Josephine Jill T Cabatbat, Thomas L P Martin, Haneul Kim, Seunghyeon Kim, Jaeyun Sung, Cheol-Min Ghim, Pan-Jun Kim

Erratum issuedAbstract readDataset
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Roktaek LimDepartment of Biology, Hong Kong Baptist University, Kowloon, Hong Kong.ORCID http://orcid.org/0000-0003-3441-0692
Josephine Jill T CabatbatSchool of Life Sciences, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea.
Thomas L P MartinDepartment of Biology, Hong Kong Baptist University, Kowloon, Hong Kong.
Haneul KimDepartment of Physics, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea.
Seunghyeon KimDepartment of Biology, Hong Kong Baptist University, Kowloon, Hong Kong.
Jaeyun SungMicrobiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
Cheol-Min GhimSchool of Life Sciences, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea.
Pan-Jun KimDepartment of Biology, Hong Kong Baptist University, Kowloon, Hong Kong. panjunkim@hkbu.edu.hk.ORCID http://orcid.org/0000-0002-9329-4997

Funding

Hong Kong Baptist University (HKBU) FRG2/17-18/097Hong Kong Baptist University (HKBU) RC-SGT2/18-19/SCI/001
6 · The paper itself

Abstract

The role of our gut microbiota in health and disease is largely attributed to the collective metabolic activities of the inhabitant microbes. A system-level framework of the microbial community structure, mediated through metabolite transport, would provide important insights into the complex microbe-microbe and host-microbe chemical interactions. This framework, if adaptable to both mouse and human systems, would be useful for mechanistic interpretations of the vast amounts of experimental data from gut microbiomes in murine animal models, whether humanized or not. Here, we constructed a literature-curated, interspecies network of the mammalian gut microbiota for mouse and human hosts, called NJC19. This network is an extensive data resource, encompassing 838 microbial species (766 bacteria, 53 archaea, and 19 eukaryotes) and 6 host cell types, interacting through 8,224 small-molecule transport and macromolecule degradation events. Moreover, we compiled 912 negative associations between organisms and metabolic compounds that are not transportable or degradable by those organisms. Our network may facilitate experimental and computational endeavors for the mechanistic investigations of host-associated microbial communities.

Indexed as

Gastrointestinal MicrobiomeMetabolic Networks and PathwaysAnimalsHumansMice

Identifiers

PMID32591517
PMCPMC7320173

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.