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Record W4412910834 · doi:10.3390/cells14151149

Yin Yang 1: Role in Leishmaniasis

2025· review· en· W4412910834 on OpenAlexaff
Devki Nandan, Dilraj Kaur Longowal, Neil E. Reiner

Bibliographic record

VenueCells · 2025
Typereview
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLeishmaniaLeishmaniasisBiologyMacrophageComputational biologyImmunologyGeneticsComputer scienceParasite hosting

Abstract

fetched live from OpenAlex

Leishmaniasis, caused by protozoan parasites of the genus Leishmania, is one of the most neglected human diseases, affecting millions worldwide. A detailed understanding of the molecular mechanisms that govern the outcome of macrophage–Leishmania interactions is crucial for a comprehensive understanding of leishmaniasis; however, our current knowledge of these mechanisms remains limited. It is clear that Leishmania has co-evolved to engage several clever strategies to regulate the cell biology of host macrophages to survive and multiply in phagolysosomes of these cells. In this review, we discuss how Leishmania exploits the macrophage Yin-Yang 1 protein as a critical proxy virulence factor to promote its survival. Additionally, we discuss an atlas of YY1-dependent proteins in human macrophages, which could serve as a valuable resource for researchers studying the role of YY1 in macrophage cell biology.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.942
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.046
GPT teacher head0.368
Teacher spread0.322 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes1
Has abstractyes

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