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Record W2977278535 · doi:10.1186/s12936-019-2980-y

Uptake of a fluorescently tagged chloroquine analogue is reduced in CQ-resistant compared to CQ-sensitive Plasmodium falciparum parasites

2019· article· en· W2977278535 on OpenAlexafffund
Sarah J. Reiling, Petra Rohrbach

Bibliographic record

VenueMalaria Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaDeutscher Akademischer Austauschdienst
KeywordsPlasmodium falciparumChloroquineIntracellularMalariaVerapamilBiologyCytosolIC50Drug resistanceVacuoleParasite hostingMicrobiologyMultiple drug resistancePharmacologyIn vitroChemistryBiochemistryImmunologyEnzyme

Abstract

fetched live from OpenAlex

Abstract Background Chloroquine (CQ) was the drug of choice for decades in the treatment of falciparum malaria until resistance emerged. CQ is suggested to accumulate in the parasite’s digestive vacuole (DV), where it unfolds its anti-malarial properties. Discrepancies of CQ accumulation in CQ-sensitive (CQS) and CQ-resistant (CQR) strains are thought to play a significant role in drug susceptibility. Analysis of CQ transport and intracellular localization using a fluorescently tagged CQ analogue could provide much needed information to distinguish susceptible from resistant parasite strains. The fluorescently tagged CQ analogue LynxTag-CQ™GREEN (CQGREEN) is commercially available and was assessed for its suitability. Methods IC50 values were determined for both CQ and CQGREEN in two CQS and two CQR Plasmodium falciparum strains. Buffer solutions with varying pH were used to determine pH-dependent localization of CQGREEN in infected red blood cells. Before CQS or CQR parasites were exposed to different pH buffers, they were pre-loaded with varying concentrations of CQGREEN for up to 7 h. Intracellular accumulation was analysed using live cell confocal microscopy. CQGREEN uptake rates were determined for the cytosol and DV in the presence and absence of verapamil. Results In CQS strains, twofold higher IC50 values were determined for the CQGREEN analogue compared to CQ. No significant differences in IC50 values were observed in CQR strains. Addition of verapamil reversed drug resistance of CQR strains to both CQ and CQGREEN. Live cell imaging revealed that CQGREEN fluorescence was mainly seen in the cytosol of most parasites, independent of the concentration used. Incubation periods of up to 7 h did not influence intracellular localization of CQGREEN. Nevertheless, CQGREEN uptake rates in CQR strains were reduced by 50% compared to CQS strains. Conclusion Although fluorescence of CQGREEN was mainly seen in the cytosol of parasites, IC50 assays showed comparable efficacy of CQGREEN and CQ in parasite killing of CQS and CQR strains. Reduced uptake rates of CQGREEN in CQR strains compared to CQS strains indicate parasite-specific responses to CQGREEN exposure. The data contains valuable information when CQGREEN is used as an analogue for CQ.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.286
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations13
Published2019
Admission routes2
Has abstractyes

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