Evidence map›Paper›PMID 39163860›Full record

ArticleCell2024

Mining human microbiomes reveals an untapped source of peptide antibiotics.

Marcelo D T Torres, Erin F Brooks, Angela Cesaro, Hila Sberro, Matthew O Gill, Cosmos Nicolaou, Ami S Bhatt, Cesar de la Fuente-Nunez

Abstract read
In one paragraph

Article in Cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

  1. Bridging the gap:Gut microbes · 2026
    Review
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  3. Article
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  5. Review
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  7. Review
  8. Article
  9. Investigations of the Evolved Molecular Basis for Terpenoid Biosynthesis in Marine Sponges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Article
  11. Review
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  13. Article
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  15. Article
  16. Article
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  18. Article
  19. Article
  20. Article

28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Marcelo D T TorresMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.
Erin F BrooksDepartment of Medicine (Hematology; Blood and Marrow Transplantation), Stanford University, Stanford, CA 94305, USA.
Angela CesaroMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.
Hila SberroDepartment of Medicine (Hematology; Blood and Marrow Transplantation), Stanford University, Stanford, CA 94305, USA.
Matthew O GillDepartment of Genetics, Stanford University, Stanford, CA 94305, USA.
Cosmos NicolaouDepartment of Medicine (Hematology; Blood and Marrow Transplantation), Stanford University, Stanford, CA 94305, USA.
Ami S BhattDepartment of Medicine (Hematology; Blood and Marrow Transplantation), Stanford University, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA. Electronic address: asbhatt@stanford.edu.
Cesar de la Fuente-NunezMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: cfuente@upenn.edu.

Funding

TRANSGENIC AND CHIMERIC MOUSE COREP30DK050306 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GARY D. WU · 1997 to 2026
$32.5M
Culture-free pathogen tracking in hospitalized patientsR01AI143757 · NIAID · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2020 to 2023
$3.0M
Emerging novel mechanisms of antibiotic resistance in the prevalent foodborne pathogen, SalmonellaR01AI148623 · NIAID · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2019 to 2023
$2.0M
Combining chemical and computational tools for predictive models of microbiome communitiesR35GM138201 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI DE LA FUENTE, CESAR · 2020 to 2024
$1.8M
NIAID NIH HHS R01 AI143757NIAID NIH HHS R01 AI148623NIDDK NIH HHS P30 DK050306NIGMS NIH HHS R35 GM138201
6 · The paper itself

Abstract

Drug-resistant bacteria are outpacing traditional antibiotic discovery efforts. Here, we computationally screened 444,054 previously reported putative small protein families from 1,773 human metagenomes for antimicrobial properties, identifying 323 candidates encoded in small open reading frames (smORFs). To test our computational predictions, 78 peptides were synthesized and screened for antimicrobial activity in vitro, with 70.5% displaying antimicrobial activity. As these compounds were different compared with previously reported antimicrobial peptides, we termed them smORF-encoded peptides (SEPs). SEPs killed bacteria by targeting their membrane, synergizing with each other, and modulating gut commensals, indicating a potential role in reconfiguring microbiome communities in addition to counteracting pathogens. The lead candidates were anti-infective in both murine skin abscess and deep thigh infection models. Notably, prevotellin-2 from Prevotella copri presented activity comparable to the commonly used antibiotic polymyxin B. Our report supports the existence of hundreds of antimicrobials in the human microbiome amenable to clinical translation.

Indexed as

Anti-Bacterial AgentsAntimicrobial PeptidesMicrobiotaAnimalsBacteriaFemaleHumansMetagenomeMiceOpen Reading FramesPrevotellaAnti-Bacterial AgentsAntimicrobial Peptidesantibioticsantimicrobial peptidescomputational mininghuman microbiomemicroproteinspeptidesSEPssmORF-encoded peptides

Identifiers

PMID39163860
PMCPMC12821620

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.