Evidence map›Paper›PMID 37329880›Full record

ArticleCell host & microbe2023

The TaxUMAP atlas: Efficient display of large clinical microbiome data reveals ecological competition in protection against bacteremia.

Jonas Schluter, Ana Djukovic, Bradford P Taylor, Jinyuan Yan, Caichen Duan, Grant A Hussey, Chen Liao, Sneh Sharma, Emily Fontana, Luigi A Amoretti and 10 more

Open access · greenAbstract read
In one paragraph

Article in Cell host & microbe, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 21 citations in OpenAlex.

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  15. A comparativeFrontiers in microbiology · 2025
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  16. Review
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  18. Microbiota and metabolic adaptation shapebioRxiv : the preprint server for biology · 2024
    Article
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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

20 authors at 6 institutions in 1 country.

Jonas SchluterInstitute for Systems Genetics, Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA. Electronic address: jonas.schluter@nyulangone.org.
Ana DjukovicProgram for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Bradford P TaylorCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jinyuan YanProgram for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Caichen DuanInstitute for Systems Genetics, Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA.
Grant A HusseyInstitute for Systems Genetics, Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA.
Chen LiaoProgram for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Sneh SharmaProgram for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Emily FontanaDepartment of Immunology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Luigi A AmorettiDepartment of Immunology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Roberta J WrightDepartment of Immunology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Anqi DaiAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jonathan U PeledAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA.
Ying TaurDepartment of Immunology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Miguel-Angel PeralesAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA.
Benjamin A SiranosianDepartment of Genetics, Stanford University, Stanford, CA, USA.
Ami S BhattDepartment of Genetics, Stanford University, Stanford, CA, USA; Department of Medicine, Division of Hematology, Stanford University, Stanford, CA, USA; Department of Medicine, Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University School of Medicine, Stanford, CA, USA.
Marcel R M van den BrinkAdult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA.
Eric G PamerDuchossois Family Institute, University of Chicago, Chicago, IL, USA.
Joao B XavierProgram for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA. Electronic address: xavierj@mskcc.org.
Memorial Sloan Kettering Cancer Center · USNew York University · USCenter for Disease Dynamics, Economics & Policy · USStanford Blood Center · USStanford University · USUniversity of Chicago · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
T LYMPHOCYTE SUBSET FUNCTION POST-TRANSPLANTATIONP01CA023766 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SCHEINBERG, DAVID A · 1985 to 2023
$59.0M
Thymic and Peripheral Aspects of T Cell Aging and RejuvenationP01AG052359 · NIA · UNIVERSITY OF ARIZONA · PI JANKO Z. NIKOLICH · 2017 to 2026
$23.5M
Systems Biology of Microbiome-mediated Resilience to Antibiotic-resistant PathogensU01AI124275 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI PAMER, ERIC G., XAVIER, JOAO · 2016 to 2020
$8.9M
The role of intestinal microbiota in graft-versus-host diseaseR01CA228308 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Philip L Lorenzi, Marcel R M van den Brink · 2018 to 2026
$5.2M
The role of autophagy gene Atg16L1 in allogeneic hematopoietic stem cell transplantation - Resubmission - 1R01HL123340 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CADWELL, KEN HASHIGIWA, VAN DEN BRINK, MARCEL R M · 2015 to 2022
$5.2M
Mathematical ecology models of host-microbiota interaction in auto microbiota transplants (auto-FMT)R01AI137269 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI TAUR, YING, XAVIER, JOAO · 2019 to 2023
$3.8M
Culture-free pathogen tracking in hospitalized patientsR01AI143757 · NIAID · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2020 to 2023
$3.0M
Third-party “off the shelf” mature or precursor CAR T cells to prevent or treat malignant relapse after allo HCTR01HL147584 · NHLBI · SLOAN-KETTERING INST CAN RESEARCH · PI VAN DEN BRINK, MARCEL R M · 2019 to 2022
$2.7M
The role of intestinal microbiota in graft-versus-host diseaseR01CA228358 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI VAN DEN BRINK, MARCEL R M · 2018 to 2022
$2.6M
The unleashed microbiome of cancer patients as a discovery platform for rational microbiome engineeringDP2AI164318 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SCHLUTER, JONAS · 2021 to 2025
$2.5M
Microbiota mechanisms and biomarkers in GVHDK08HL143189 · NHLBI · SLOAN-KETTERING INST CAN RESEARCH · PI PELED, JONATHAN · 2019 to 2023
$858k
NCI NIH HHS P01 CA023766NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA228308NCI NIH HHS R01 CA228358NHLBI NIH HHS K08 HL143189NHLBI NIH HHS R01 HL123340NHLBI NIH HHS R01 HL147584NIAID NIH HHS DP2 AI164318NIAID NIH HHS R01 AI137269NIAID NIH HHS R01 AI143757NIAID NIH HHS U01 AI124275NIA NIH HHS P01 AG052359
6 · The paper itself

Abstract

Longitudinal microbiome data provide valuable insight into disease states and clinical responses, but they are challenging to mine and view collectively. To address these limitations, we present TaxUMAP, a taxonomically informed visualization for displaying microbiome states in large clinical microbiome datasets. We used TaxUMAP to chart a microbiome atlas of 1,870 patients with cancer during therapy-induced perturbations. Bacterial density and diversity were positively associated, but the trend was reversed in liquid stool. Low-diversity states (dominations) remained stable after antibiotic treatment, and diverse communities had a broader range of antimicrobial resistance genes than dominations. When examining microbiome states associated with risk for bacteremia, TaxUMAP revealed that certain Klebsiella species were associated with lower risk for bacteremia localize in a region of the atlas that is depleted in high-risk enterobacteria. This indicated a competitive interaction that was validated experimentally. Thus, TaxUMAP can chart comprehensive longitudinal microbiome datasets, enabling insights into microbiome effects on human health.

Indexed as

BacteremiaGastrointestinal MicrobiomeMicrobiotaAnti-Bacterial AgentsBacteriaHumansAnti-Bacterial Agentsantibiotic resistanceEnterobacteriaceaegut dominationgut microbiomeKlebsiellapatient datataxonomy

Identifiers

PMID37329880
PMCPMC10527165
OpenAlexW4380894077

What OpenQuestion holds

Textmetadata
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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.