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Record W2560473644

Short-chain Fatty Acids Modulate Bacterial Growth and Airway Epithelial Cell Inflammatory Responses

2012· dissertation· en· W2560473644 on OpenAlexfundno aff
Peyman Ghorbani

Bibliographic record

VenueTSpace (University of Toronto) · 2012
Typedissertation
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsCystic fibrosisCystic fibrosis transmembrane conductance regulatorCytokineInflammationLungSputumMicrobiologyImmunologyBiologyChemistryMedicinePathologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Short-chain fatty acids (SCFAs) are anaerobic bacterial metabolites. Cystic fibrosis (CF) lung disease is a condition caused by mutations in the cystic fibrosis transmembrane conductange regulator (CFTR) gene and is characterized by persistent lung inflammation and bacterial colonization. We measured the concentrations of SCFAs in sputum of patients with CF and tested the effect of these compounds on bacterial growth. Furthermore we found that SCFAs can influence the inflammatory protein expression and cytokine release in airway epithelial cells. SCFAs differentially alter cytokine release in CF bronchial epithelial cells (CFBE) compared to CFBE expressing wild-type CFTR. We also studied the effect of SCFAs in an acute lung injury model in BALB/cJ mice and found that intratracheally administered SCFAs can affect the inflammatory environment of the airways in vivo. We conclude that SCFAs may be important in the airways and that further investigation is warranted to understand their effects on inflammation and infection.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

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)0.0070.001

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 head0.012
GPT teacher head0.263
Teacher spread0.251 · 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 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 routes1
Has abstractyes

Explore more

Same venueTSpace (University of Toronto)→Same topicCystic Fibrosis Research Advances→French-language works237,207→