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Expression of pentraxin 3 in the lungs of human, horse, cattle and pig

2012· article· en· W3175099793 on OpenAlexafffundabout
Michelle Soron, Baljit Singh

Bibliographic record

VenueThe FASEB Journal · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiomarkers in Disease Mechanisms
Canadian institutionsUniversity of Saskatchewan
FundersAlberta Livestock and Meat Agency
KeywordsPTX3InflammationInnate immune systemProinflammatory cytokineImmune systemPathologyBiologyLungImmunologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Bacterial lung diseases cause significant mortality and morbidity, causing enormous economic damage to the animal industry and cost billions of dollars in human health care. The innate immune system plays a critical role in the initiation of immune response in the lung. Pentraxin 3 (PTX3) is an acute phase protein that is produced at sites of inflammation by many cell types upon stimulation by proinflammatory cytokines, and agonists such as endotoxins. PTX3 recognizes and binds to many pathogens, activates the complement cascade, and has a role in the clearance of apoptotic and necrotic cells. Because there are very few data on the expression of PTX3 in the lungs, we examined PTX3 expression in normal and inflamed lungs of the horse, pig, human, and cattle using light and electron microscopic immunochemistry. We show PTX3 staining in bronchial epithelial cells and vascular endothelium in normal and inflamed lungs. Alveolar macrophages and inflammatory cells recruited into the lungs of bacteria‐infected animals stain intensely for PTX3. Immuno‐gold electron microscopy on horse, and calf lungs showed PTX3 in the nuclei, cytoplasm, and vesicular organelles of alveolar macrophages, endothelial cells and pulmonary intravascular macrophages. These data show PTX3 is expressed in normal lungs and its expression is increased in inflamed lungs. Grant Funding Source : Alberta Livestock and Meat Agency

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.378

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 studies0.0000.000
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 head0.016
GPT teacher head0.253
Teacher spread0.237 · 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
Published2012
Admission routes3
Has abstractyes

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