Evidence map›Paper›PMID 34355212›Full record

ArticleFrontiers in digital health2021

Digital Insights Into Nucleotide Metabolism and Antibiotic Treatment Failure.

Allison J Lopatkin, Jason H Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

30 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Redefining Antimicrobial Resistance inInternational journal of molecular sciences · 2026
    Review
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  8. Review
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  11. Article
  12. Predicting fitness inFrontiers in tuberculosis · 2025
    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

2 authors at 2 institutions in 1 country.

Allison J Lopatkin *Department of Biology, Barnard College, New York, NY, United States.
Jason H Yang *Ruy V. Lourenço Center for Emerging and Re-emerging Pathogens, Rutgers New Jersey Medical School, Newark, NJ, United States.
Columbia University · USRutgers, The State University of New Jersey · US

Funding

Effects of Host Metabolic Variation on Antibiotic SusceptibilityR00GM118907 · NIGMS · RBHS-NEW JERSEY MEDICAL SCHOOL · PI YANG, JASON HUNG-YING · 2020 to 2022
$747k
NIGMS NIH HHS R00 GM118907
6 · The paper itself

Abstract

Nucleotide metabolism plays a central role in bacterial physiology, producing the nucleic acids necessary for DNA replication and RNA transcription. Recent studies demonstrate that nucleotide metabolism also proactively contributes to antibiotic-induced lethality in bacterial pathogens and that disruptions to nucleotide metabolism contributes to antibiotic treatment failure in the clinic. As antimicrobial resistance continues to grow unchecked, new approaches are needed to study the molecular mechanisms responsible for antibiotic efficacy. Here we review emerging technologies poised to transform understanding into why antibiotics may fail in the clinic. We discuss how these technologies led to the discovery that nucleotide metabolism regulates antibiotic drug responses and why these are relevant to human infections. We highlight opportunities for how studies into nucleotide metabolism may enhance understanding of antibiotic failure mechanisms.

Indexed as

antibiotic persistenceantibiotic resistanceantibiotic tolerancemachine learningmetabolic modelingnucleotide metabolismpredictive modelingwhole genome sequencing

Identifiers

PMID34355212
PMCPMC8336923
OpenAlexW3135196786

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.