Evidence map›Paper›PMID 40388614›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Environmental resistome-guided development of resistance-tolerant antibiotics.

James Peek, Abir Bhattacharjee, Ján Burian, David Chun-Cheng Hsieh, Yozen Hernandez, Melinda Ternei, Cecilia Panfil, Sean F Brady

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Environmental resistome-guided development of resistance-tolerant antibiotics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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

8 authors.

James PeekLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, New York, NY 10065.
Abir BhattacharjeeLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, New York, NY 10065.
Ján BurianLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, New York, NY 10065.
David Chun-Cheng HsiehLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, New York, NY 10065.
Yozen HernandezLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, New York, NY 10065.ORCID 0000-0003-3349-8856
Melinda TerneiLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, New York, NY 10065.
Cecilia PanfilLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, New York, NY 10065.
Sean F BradyLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, New York, NY 10065.ORCID 0000-0001-5967-8586

Funding

Discovery of Antibiotics from Soil Microbiomes Using MetagenomicsR35GM122559 · NIGMS · ROCKEFELLER UNIVERSITY · PI SEAN F BRADY · 2017 to 2026
$4.7M
HHS | NIH (NIH) 5R35GM122559NIGMS NIH HHS R35 GM122559
6 · The paper itself

Abstract

Failure to anticipate new forms of antibiotic resistance has led to resistance developing rapidly to virtually all antibiotics that have entered clinical use. Many of the most problematic types of resistance originated in the environment, where ancient arms races between antibiotic-producing microbes and their competitors have created vast arsenals of antibiotics and resistance. Seizing on the knowledge that resistance in nature is frequently a harbinger of future clinical resistance, we propose introducing an additional step into the antibiotic development process that exploits the susceptibility of development candidates to environmental resistance as a metric for prioritizing lead compounds and as a roadmap for their structural optimization. Using the antibiotic albicidin as a model, we show how the environmental resistome can guide the development of more resistance-tolerant leads. We used metagenomic surveys to identify resistance vulnerabilities for albicidin and guide the synthesis of analogs that evade the resistance threats. We found that natural albicidin analogs (congeners) were especially enriched in structural features that escape resistance, which inspired our syntheses and provided compelling evidence for the evolution of families of antibiotics in response to resistance in nature. The coupling of metagenomics-based resistance surveillance with structural optimizations of new antibiotics is a broadly applicable approach that is easily integrated into antibiotic development programs to generate compounds that are more resilient in the face of resistance.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialBacteriaMetagenomeMetagenomicsAnti-Bacterial Agentsantibiotic resistancedrug developmentmetagenomicsresistome

Identifiers

PMID40388614
PMCPMC12130845

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.