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Cytokine Gene Expression in Healing and Non‐Healing Cases of Cutaneous Leishmaniasis in Response to <i>In vitro</i> Stimulation with Recombinant gp63 Using Semi‐Quantitative RT–PCR

2001· article· en· W2050784399 on OpenAlexaff
Gholamreza Habibi, Ali Khamesipour, W. Robert McMaster, Fereidoun Mahboudi

Bibliographic record

VenueScandinavian Journal of Immunology · 2001
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPeripheral blood mononuclear cellImmunogenCytokineImmunologyReverse transcription polymerase chain reactionInterferon gammaStimulationRecombinant DNALeishmania infantumInterleukin 4Cutaneous leishmaniasisGene expressionMedicineInterleukinLeishmaniasisIn vitroBiologyGeneInternal medicineVisceral leishmaniasisAntibody

Abstract

fetched live from OpenAlex

Objectives of this study were to test the cytokine gene expression in peripheral blood mononuclear cells (PBMCs) from cases with nonhealing and healing cutaneous leishmaniasis (CL) in response to in vitro stimulation of recombinant gp63 (rgp63) and soluble Leishmania antigen (SLA). Healing and nonhealing cases are, respectively, defined as recovered from disease and refractory to various treatments. To evaluate the type of immunological response, mRNA transcription level for interleukin (IL)-4, IL-10, IL-12 and interferon (IFN)-gamma were determined using semiquantitative reverse transcription-polymerase chain reaction (RT-PCR) technique in PBMCs of these volunteers. The results clearly demonstrated a high level of IL-4 expression in nonhealing cases of CL and a low expression level of transcripts for IFN-gamma and IL-12. In contrast, a high level of IFN-gamma and IL-12 expression and a low level of IL-4 and IL-10 expression were detected in the healing cases. These findings not only support the balance of Th1/Th2 cytokines in the inducing predominant profile in healing and nonhealing cases, but it may also show the potential of rgp63 as a proper immunogen which might induce protective responses.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.330
Teacher spread0.293 · 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 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".

Quick stats

Citations47
Published2001
Admission routes1
Has abstractyes

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