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Record W2160745165 · doi:10.1086/588146

<i>Leishmania infantum</i>Promastigotes Reduce Entry of HIV‐1 into Macrophages through a Lipophosphoglycan‐Mediated Disruption of Lipid Rafts

2008· article· en· W2160745165 on OpenAlexaff
Ravendra Garg, Robert Lodge, Albert Descoteaux, Michel J. Tremblay

Bibliographic record

VenueThe Journal of Infectious Diseases · 2008
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsArmand Frappier MuseumUniversité LavalCentre hospitalier de l'Université LavalInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsLipophosphoglycanLeishmaniaBiologyLipid raftVisceral leishmaniasisLeishmania donovaniViral replicationVirologyLeishmania infantumMacrophageLeishmaniasisLeishmania mexicanaViral entryVirusMicrobiologyCell biologyImmunologyIn vitroSignal transductionParasite hostingGenetics

Abstract

fetched live from OpenAlex

Visceral leishmaniasis is now recognized as an opportunistic disease in patients infected with human immunodeficiency virus type 1 (HIV-1). We report here that Leishmania infantum promastigotes enhance HIV-1 replication in monocyte-derived macrophages (MDMs) at late time points in the virus growth curve but also that, surprisingly, a reduction in HIV-1 production is seen during the initial days after infection. This early effect is caused by a Leishmania-mediated inhibition of virus entry into MDMs through the action of lipophosphoglycan (LPG), the major promastigote surface glycolipid. The impact of LPG in the observed phenomenon was confirmed using LPG-defective lpg1-/- knockout mutant promastigotes. Our results suggest that the LPG-mediated effect results from the disruption of lipid rafts. Altogether, these findings suggest that the presence of Leishmania within the same cellular microenvironment leads to 2 opposite, time-dependent effects on HIV-1 replication. Leishmania and HIV-1 can thus establish complex interactions in their common natural host cells.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.284
Teacher spread0.269 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations11
Published2008
Admission routes1
Has abstractyes

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