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Record W1975954393 · doi:10.1097/fjc.0b013e3181ad7d57

Downregulation of the Endothelin System of Lung Myofibroblasts in Congestive Heart Failure

2009· article· en· W1975954393 on OpenAlexaff
Annick Préfontaine, Angelino Calderone, Jocelyn Dupuis

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2009
Typearticle
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsDownregulation and upregulationHeart failureInternal medicineLungEndocrinologyMedicineEndothelin 1MyofibroblastEndothelin receptorCardiologyReceptorChemistryFibrosis

Abstract

fetched live from OpenAlex

Congestive heart failure (CHF) causes lung remodelling with thickening of the alveolar septa and proliferation of myofibroblasts (MYF). Endothelin-1 (ET-1) is increased in CHF and may contribute to this process. CHF was induced in rats by myocardial infarction. After three weeks there was lung remodelling with thickening of alveolar septa and increases in 5'-bromodeoxyuridine uptake and vimentin expression (P < 0.05). The mitogenic and protein synthesis response of MYF to ET-1 (10 nM) were assessed by H-thymidine and H-leucine incorporation respectively. The mitogenic response in CHF (19.0 +/- 3.0%, mean +/- SEM) was less than for sham rats (35 +/- 5.4%, P < 0.05). This was associated with a lower production of ET-1 by CHF MYF (15.15 +/- 5.67 fmol/ml) compared to sham (33.66 +/- 13.22 fmol/ml; P < 0.05). Additionally, protein expression of ETA (0.36 +/- 0.038 AU) and ETB receptors (0.24 +/- 0.075 AU) were reduced in CHF compared to shams (0.65 +/- 0.086 AU and 0.81 +/- 0.21 AU respectively; P < 0.05). There is a downregulation of the ET system of lung MYF in CHF with reduced proliferation in response to ET-1. This may represent a protective adaptation to counteract lung remodelling in response to chronic exposure to high levels of ET-1.

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 score0.172
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.006
GPT teacher head0.255
Teacher spread0.249 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

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