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Record W7112933231

Reduced expression of TLR3, TLR10 and TREM1 by human macrophages in Chronic cavitary pulmonary aspergillosis, and novel associations of VEGFA, DENND1B and PLAT

2014· article· en· W7112933231 on OpenAlexaff

Bibliographic record

VenueResearch Explorer (The University of Manchester) · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicInflammation biomarkers and pathways
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsCCPATLR3GeneChronic mucocutaneous candidiasisReceptorSingle-nucleotide polymorphismDiseaseGene expression
DOInot available

Abstract

fetched live from OpenAlex

Chronic cavitary pulmonary aspergillosis (CCPA) is an uncommon but serious pulmonary disease of humans, with an annual mortality rate of 10–30%. It is caused by the fungus Aspergillus fumigatus. Patients are overtly immunocompetent; however, some immunogenetic defect is likely. To investigate this, we performed a genetic association study analysing biologically plausible candidate genes in 112 CCPA patients and 279 healthy controls, and investigated gene expression in monocyte-derived macrophages from patients and controls at baseline and during stimulation with A. fumigatus. Single-nucleotide polymorphisms (SNPs) associated with CCPA were found in TLR1, CLEC7A (dectin-1), PLAT (n = 2), VEGFA, and DENND1B. Macrophages from CCPA patients showed low TLR3 and TLR10 expression and high TREM1 expression at baseline, as compared with macrophages from healthy subjects, with major expression differences being seen in most Toll-like receptors (TLRs) during 9 h of co-culture with A. fumigatus. The differences in baseline expression between the healthy and CCPA groups suggest roles for TLR3 and TLR10 in susceptibility to CCPA, and the association of SNPs in PLAT (n = 2), VEGFA and DENND1B supports novel roles for plasminogen activation and angiogenesis and of these genes specifically in susceptibility to CCPA.

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)0.000
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 score0.530
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.044
GPT teacher head0.268
Teacher spread0.225 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

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