Evidence map›Paper›PMID 28446174›Full record

ArticleBMC systems biology2017

A scalable metabolite supplementation strategy against antibiotic resistant pathogen Chromobacterium violaceum induced by NAD

Deepanwita Banerjee, Dharmeshkumar Parmar, Nivedita Bhattacharya, Avinash D Ghanate, Venkateswarlu Panchagnula, Anu Raghunathan

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Deepanwita BanerjeeChemical Engineering Division, CSIR-National Chemical Laboratory, Pune, India.
Dharmeshkumar ParmarChemical Engineering Division, CSIR-National Chemical Laboratory, Pune, India.
Nivedita BhattacharyaChemical Engineering Division, CSIR-National Chemical Laboratory, Pune, India.
Avinash D GhanateChemical Engineering Division, CSIR-National Chemical Laboratory, Pune, India.
Venkateswarlu PanchagnulaChemical Engineering Division, CSIR-National Chemical Laboratory, Pune, India.
Anu RaghunathanChemical Engineering Division, CSIR-National Chemical Laboratory, Pune, India. anu.raghunathan@ncl.res.in.
National Chemical Laboratory · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe leading edge of the global problem of antibiotic resistance necessitates novel therapeutic strategies. This study develops a novel systems biology driven approach for killing antibiotic resistant pathogens using benign metabolites.

resultsControlled laboratory evolutions established chloramphenicol and streptomycin resistant pathogens of Chromobacterium. These resistant pathogens showed higher growth rates and required higher lethal doses of antibiotic. Growth and viability testing identified malate, maleate, succinate, pyruvate and oxoadipate as resensitising agents for antibiotic therapy. Resistant genes were catalogued through whole genome sequencing. Intracellular metabolomic profiling identified violacein as a potential biomarker for resistance. The temporal variance of metabolites captured the linearized dynamics around the steady state and correlated to growth rate. A constraints-based flux balance model of the core metabolism was used to predict the metabolic basis of antibiotic susceptibility and resistance.

conclusionsThe model predicts electron imbalance and skewed NAD/NADH ratios as a result of antibiotics - chloramphenicol and streptomycin. The resistant pathogen rewired its metabolic networks to compensate for disruption of redox homeostasis. We foresee the utility of such scalable workflows in identifying metabolites for clinical isolates as inevitable solutions to mitigate antibiotic resistance.

Indexed as

Systems BiologyAnti-Bacterial AgentsChromobacteriumComputer SimulationDirected Molecular EvolutionDrug Resistance, BacterialNADPhenotypeAnti-Bacterial AgentsNADAntibiotic resistanceFlux balance analysisFlux variability analysisMetabolismMetabolomicNADNADHRedox homeostasis

Identifiers

PMID28446174
PMCPMC5405553
OpenAlexW2608638031

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.