Evidence map›Paper›PMID 37697152›Full record

ArticleNature biotechnology2024

BugSigDB captures patterns of differential abundance across a broad range of host-associated microbial signatures.

Ludwig Geistlinger, Chloe Mirzayi, Fatima Zohra, Rimsha Azhar, Shaimaa Elsafoury, Clare Grieve, Jennifer Wokaty, Samuel David Gamboa-Tuz, Pratyay Sengupta, Issac Hecht and 11 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

21 authors.

Ludwig GeistlingerCenter for Computational Biomedicine, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-2495-5464
Chloe MirzayiInstitute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA.
Fatima ZohraInstitute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA.
Rimsha AzharInstitute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA.
Shaimaa ElsafouryInstitute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA.
Clare GrieveInstitute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA.
Jennifer WokatyInstitute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA.
Samuel David Gamboa-TuzInstitute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA.
Pratyay SenguptaDepartment of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology (IIT) Madras, Chennai, India.ORCID http://orcid.org/0000-0002-0184-9335
Issac HechtWikiWorks, Boca Raton, FL, USA.
Aarthi RavikrishnanGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Rafael S GonçalvesCenter for Computational Biomedicine, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-1255-0125
Eric FranzosaInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-8798-7068
Karthik RamanDepartment of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology (IIT) Madras, Chennai, India.ORCID http://orcid.org/0000-0002-9311-7093
Vincent CareyChanning Division of Network Medicine, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Jennifer B DowdLeverhulme Centre for Demographic Science, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-2006-5656
Heidi E JonesInstitute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA.
Sean DavisDepartments of Biomedical Informatics and Medicine, University of Colorado Anschutz School of Medicine, Denver, CO, USA.
Nicola SegataDepartment CIBIO, University of Trento, Trento, Italy.ORCID http://orcid.org/0000-0002-1583-5794
Curtis HuttenhowerInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-1110-0096
Levi WaldronInstitute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA. levi.waldron@sph.cuny.edu.ORCID http://orcid.org/0000-0003-2725-0694

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Ramnik J Xavier · 1991 to 2026
$35.3M
Cancer Genomics:Integrative and Scalable Solutions in R / BioconductorU24CA180996 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MORGAN, MARTIN T, WALDRON, LEVI · 2014 to 2023
$6.9M
Exploiting Public Metagenomic Data to Uncover Cancer-Microbiome RelationshipsR01CA230551 · NCI · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI Levi Waldron · 2020 to 2026
$3.9M
NCI NIH HHS R01 CA230551NCI NIH HHS U24 CA180996NIDDK NIH HHS P30 DK043351U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 5R01CA230551U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 5U24CA180996
6 · The paper itself

Abstract

The literature of human and other host-associated microbiome studies is expanding rapidly, but systematic comparisons among published results of host-associated microbiome signatures of differential abundance remain difficult. We present BugSigDB, a community-editable database of manually curated microbial signatures from published differential abundance studies accompanied by information on study geography, health outcomes, host body site and experimental, epidemiological and statistical methods using controlled vocabulary. The initial release of the database contains >2,500 manually curated signatures from >600 published studies on three host species, enabling high-throughput analysis of signature similarity, taxon enrichment, co-occurrence and coexclusion and consensus signatures. These data allow assessment of microbiome differential abundance within and across experimental conditions, environments or body sites. Database-wide analysis reveals experimental conditions with the highest level of consistency in signatures reported by independent studies and identifies commonalities among disease-associated signatures, including frequent introgression of oral pathobionts into the gut.

Indexed as

MicrobiotaAnimalsBacteriaDatabases, FactualGastrointestinal MicrobiomeHost Microbial InteractionsHumans

Identifiers

PMID37697152
PMCPMC11098749

What OpenQuestion holds

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LicenceCC BY
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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.