Evidence map›Paper›PMID 35005851›Full record

ArticleMolecular systems biology2022

Dimensionless parameter predicts bacterial prodrug success.

Brandon Alexander Holt, McKenzie Tuttle, Yilin Xu, Melanie Su, Joachim J Røise, Xioajian Wang, Niren Murthy, Gabriel A Kwong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular systems biology, 2022. 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. Article
  2. Article
  3. Article
  4. 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.

Brandon Alexander HoltWallace H. Coulter Department of Biomedical Engineering, Georgia Tech College of Engineering and Emory School of Medicine, Atlanta, GA, USA.ORCID 0000-0002-8204-4984
McKenzie TuttleWallace H. Coulter Department of Biomedical Engineering, Georgia Tech College of Engineering and Emory School of Medicine, Atlanta, GA, USA.
Yilin XuWallace H. Coulter Department of Biomedical Engineering, Georgia Tech College of Engineering and Emory School of Medicine, Atlanta, GA, USA.
Melanie SuWallace H. Coulter Department of Biomedical Engineering, Georgia Tech College of Engineering and Emory School of Medicine, Atlanta, GA, USA.
Joachim J RøiseDepartment of Bioengineering, Innovative Genomics Institute, University of California, Berkeley, CA, USA.ORCID 0000-0002-1794-7570
Xioajian WangInstitute of Advanced Synthesis, School of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing, China.ORCID 0000-0002-1502-8781
Niren MurthyDepartment of Bioengineering, Innovative Genomics Institute, University of California, Berkeley, CA, USA.
Gabriel A KwongWallace H. Coulter Department of Biomedical Engineering, Georgia Tech College of Engineering and Emory School of Medicine, Atlanta, GA, USA.ORCID 0000-0002-6255-6755

Funding

Noninvasive and predictive biomarkers of organ transplant rejectionDP2HD091793 · NICHD · GEORGIA INSTITUTE OF TECHNOLOGY · PI KWONG, GABRIEL A · 2016 to 2016
$2.4M
Graduate Training for Rationally Designed, Integrative Biomaterials - GT BioMATT32EB006343 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI TEMENOFF, JOHNNA S · 2008 to 2018
$2.2M
Harnessing protease activity for predictive monitoring of cancer immunotherapyR01CA237210 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI KWONG, GABRIEL A · 2019 to 2023
$1.7M
NCI NIH HHS R01 CA237210NIBIB NIH HHS T32 EB006343NICHD NIH HHS DP2 HD091793
6 · The paper itself

Abstract

Understanding mechanisms of antibiotic failure is foundational to combating the growing threat of multidrug-resistant bacteria. Prodrugs-which are converted into a pharmacologically active compound after administration-represent a growing class of therapeutics for treating bacterial infections but are understudied in the context of antibiotic failure. We hypothesize that strategies that rely on pathogen-specific pathways for prodrug conversion are susceptible to competing rates of prodrug activation and bacterial replication, which could lead to treatment escape and failure. Here, we construct a mathematical model of prodrug kinetics to predict rate-dependent conditions under which bacteria escape prodrug treatment. From this model, we derive a dimensionless parameter we call the Bacterial Advantage Heuristic (BAH) that predicts the transition between prodrug escape and successful treatment across a range of time scales (1-10

Indexed as

Bacterial InfectionsProdrugsAnti-Bacterial AgentsAntimicrobial PeptidesBacteriaHumansAnti-Bacterial AgentsAntimicrobial PeptidesProdrugsantibiotic failurebacteriaenzymesminimum inhibitory concentrationprodrugs

Identifiers

PMID35005851
PMCPMC8744131

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.