Evidence map›Paper›PMID 32471946›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Longitudinal analysis reveals transition barriers between dominant ecological states in the gut microbiome.

Roie Levy, Andrew T Magis, John C Earls, Ohad Manor, Tomasz Wilmanski, Jennifer Lovejoy, Sean M Gibbons, Gilbert S Omenn, Leroy Hood, Nathan D Price

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 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

10 authors at 3 institutions in 1 country.

Roie LevyInstitute for Systems Biology, Seattle, WA 98109.
Andrew T MagisInstitute for Systems Biology, Seattle, WA 98109.
John C EarlsInstitute for Systems Biology, Seattle, WA 98109.ORCID 0000-0002-8239-911X
Ohad ManorArivale, Seattle, WA 98104.
Tomasz WilmanskiInstitute for Systems Biology, Seattle, WA 98109.
Jennifer LovejoyInstitute for Systems Biology, Seattle, WA 98109.
Sean M GibbonsInstitute for Systems Biology, Seattle, WA 98109.ORCID 0000-0002-8724-7916
Gilbert S OmennInstitute for Systems Biology, Seattle, WA 98109.
Leroy HoodInstitute for Systems Biology, Seattle, WA 98109; lhood@systemsbiology.org nprice@systemsbiology.org.ORCID 0000-0001-7158-3678
Nathan D PriceInstitute for Systems Biology, Seattle, WA 98109; lhood@systemsbiology.org nprice@systemsbiology.org.ORCID 0000-0002-4157-0267
Institute for Systems Biology · USUniversity of Michigan · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Pioneer 100 Wellness Project involved quantitatively profiling 108 participants' molecular physiology over time, including genomes, gut microbiomes, blood metabolomes, blood proteomes, clinical chemistries, and data from wearable devices. Here, we present a longitudinal analysis focused specifically around the Pioneer 100 gut microbiomes. We distinguished a subpopulation of individuals with reduced gut diversity, elevated relative abundance of the genus

Indexed as

Gastrointestinal MicrobiomeAdultAgedBacteriaBacteroidesCohort StudiesFecesFemaleHumansLongitudinal StudiesMaleMiddle AgedPhylogenyPrevotellaBacteroidesmicrobiomemultiomicPrevotellastate transition

Identifiers

PMID32471946
PMCPMC7306764
OpenAlexW3030823223

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.