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Record W2939666598 · doi:10.1016/j.cellimm.2019.04.008

Inflammasome gene expression is associated with immunopathology in human localized cutaneous leishmaniasis

2019· article· en· W2939666598 on OpenAlexaff
Gaurav Gupta, Alynne Karen Mendonça de Santana, Ciro Martins Gomes, Aline Turatti, Cristiane M. Milanezi, Roberto Bueno Filho, Carlos Alessandro Fuzo, Roque Pacheco de Almeida, Vanessa Carregaro, Ana Maria Ferreira Roselino, João S. Silva

Bibliographic record

VenueCellular Immunology · 2019
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsUniversity of Manitoba
FundersInstituto Nacional de Ciência e Tecnologia de Doenças TropicaisConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorMinistério da Ciência, Tecnologia, Inovações e ComunicaçõesFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsAIM2InflammasomeBiologyImmunologyNLRP1InflammationCutaneous leishmaniasisGene expressionGeneDownregulation and upregulationCaspase 1LeishmaniasisGeneticsCaspaseApoptosis

Abstract

fetched live from OpenAlex

Localized cutaneous leishmaniasis (LCL) can ultimately progress to chronic ulcerated lesions with strong local inflammatory reactions. The functional role of certain inflammasomes in mediating inflammation caused by Leishmania braziliensis needs to be addressed. By combining PCR-array, quantitative real-time PCR and immunohistochemical analysis, we identified inflammasome genes, such as IL-1β, NLRP3, NLRP1, NLRC5, AIM2 and P2RX7, that were upregulated in LCL patients. Temporal gene expression studies showed that the early phase of LCL displayed increased NLRP3 and reduced AIM2 and NLRP1 expression, while the late stages showed increased AIM2 and NLRP1 and lower NLRP3 expression. Our findings also showed that AIM2, NLRP1, and P2RX7 promoted susceptibility to experimental L. braziliensis infection. These results highlight the importance of inflammasome machinery in human LCL and suggest that inflammasome machinery plays a role in the acute and chronic phases of the disease.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

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 head0.014
GPT teacher head0.256
Teacher spread0.242 · 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 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

Citations25
Published2019
Admission routes1
Has abstractno

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