Evidence map›Paper›PMID 28355531›Full record

ArticleInternational journal for parasitology. Drugs and drug resistance2017

Using a genome-scale metabolic network model to elucidate the mechanism of chloroquine action in Plasmodium falciparum.

Shivendra G Tewari, Sean T Prigge, Jaques Reifman, Anders Wallqvist

Open access · goldAbstract read
In one paragraph

Article in International journal for parasitology. Drugs and drug resistance, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-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

11 citing papers in PubMed, 29 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

4 authors at 3 institutions in 1 country.

Shivendra G TewariDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, US Army Medical Research and Materiel Command, Ft. Detrick, MD 21702, USA. Electronic address: stewari@bhsai.org.
Sean T PriggeDepartment of Molecular Microbiology and Immunology, Johns Hopkins University, Baltimore, MD 21205, USA. Electronic address: sprigge2@jhu.edu.
Jaques ReifmanDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, US Army Medical Research and Materiel Command, Ft. Detrick, MD 21702, USA. Electronic address: jaques.reifman.civ@mail.mil.
Anders WallqvistDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, US Army Medical Research and Materiel Command, Ft. Detrick, MD 21702, USA. Electronic address: sven.a.wallqvist.civ@mail.mil.
Telemedicine & Advanced Technology Research Center · USJohns Hopkins University · USUnited States Army Medical Research and Development Command · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chloroquine, long the default first-line treatment against malaria, is now abandoned in large parts of the world because of widespread drug-resistance in Plasmodium falciparum. In spite of its importance as a cost-effective and efficient drug, a coherent understanding of the cellular mechanisms affected by chloroquine and how they influence the fitness and survival of the parasite remains elusive. Here, we used a systems biology approach to integrate genome-scale transcriptomics to map out the effects of chloroquine, identify targeted metabolic pathways, and translate these findings into mechanistic insights. Specifically, we first developed a method that integrates transcriptomic and metabolomic data, which we independently validated against a recently published set of such data for Krebs-cycle mutants of P. falciparum. We then used the method to calculate the effect of chloroquine treatment on the metabolic flux profiles of P. falciparum during the intraerythrocytic developmental cycle. The model predicted dose-dependent inhibition of DNA replication, in agreement with earlier experimental results for both drug-sensitive and drug-resistant P. falciparum strains. Our simulations also corroborated experimental findings that suggest differences in chloroquine sensitivity between ring- and schizont-stage P. falciparum. Our analysis also suggests that metabolic fluxes that govern reduced thioredoxin and phosphoenolpyruvate synthesis are significantly decreased and are pivotal to chloroquine-based inhibition of P. falciparum DNA replication. The consequences of impaired phosphoenolpyruvate synthesis and redox metabolism are reduced carbon fixation and increased oxidative stress, respectively, both of which eventually facilitate killing of the parasite. Our analysis suggests that a combination of chloroquine (or an analogue) and another drug, which inhibits carbon fixation and/or increases oxidative stress, should increase the clearance of P. falciparum from the host system.

Indexed as

AntimalarialsCell SurvivalChloroquineComputer SimulationDNA ReplicationGene Expression ProfilingGenetic FitnessMetabolic Networks and PathwaysMetabolomicsPlasmodium falciparumSystems BiologyAntimalarialsChloroquineCarbon fixationChloroquineMetabolic network modelingPlasmodiumRedox metabolism

Identifiers

PMID28355531
PMCPMC5376308
OpenAlexW2598090622

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.