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Pro‐Inflammatory Profiling Of RAGE Targeted Mice Following Short‐Term Tobacco Exposure

2022· article· en· W4225426312 on OpenAlexaboutno aff
Katrina Curtis, Derek Clarke, Samuel Grajeda, Makayla Hanegan, Katie Neciosup, Joe Black, Ben Theurer, Juan Antonio Arroyo, Paul R. Reynolds

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Glycation End Products research
Canadian institutionsnot available
FundersNational Institutes of Health
KeywordsRage (emotion)Profiling (computer programming)MedicineInflammationInflammatory responseImmunologyBiologyNeuroscienceComputer science

Abstract

fetched live from OpenAlex

Inflammation underpins pulmonary disease progression during tobacco smoke exposure that may culminate in irreversdible pulmonary remodeling. While primary smoke poses notable risk, nearly half of the US population is also at risk due to exposure to secondhand smoke (SHS). In the present study, we assessed a potential role for RAGE, a cell‐surface pattern recognition receptor implicated in pro‐inflammatory signaling, following exposure to SHS. Specifically, we used wild type, RAGE null, and lung‐specific RAGE overexpressing transgenic (TG) mice and evaluated the elaboration of inflammatory mediators in bronchoalveolar lavage fluid (BALF). Select mice were administered semi‐synthetic glycosaminoglycan ethers (SAGEs), a family of anionic, partially lipophilic sulfated polysaccharide derivatives known to inhibit RAGE signaling. Mice were exposed to room air (RA) or SHS from three Kentucky 3R4F research cigarettes via a nose‐only delivery system (Sireq Scientific, Montreal, Canada) five days a week and ip injections of PBS or SAGE (a 30mg/kg body weight) occurred three times per week from PN40 until sacrifice date on PN70. RAGE mRNA and protein expression was elevated in wild type and TG mice following SHS exposure and no expression was detected in RAGE nulls. BALF analyses revealed RAGE‐mediated control of leukocyte extravasation and a multiplex cytokine array confirmed a role for RAGE in the coordination of pro‐inflammatory chemokine/cytokine secretion. Among other mediators, TNF‐a, MIP‐2, and IL‐1b were each differentially secreted by lung tissue following SHS exposure and concentrations were significantly decreased in BALF from exposed RAGE null or wild type mice concomitantly administered SAGEs. In summary, inflammatory responses induced by SHS exposure were influenced by the availability of RAGE, as evidenced by RAGE nulls and SAGE treatment. These data reveal fascinating data suggesting the utility of RAGE abrogation in lessening smoke‐induced pulmonary exacerbations.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.283
Teacher spread0.267 · 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
Published2022
Admission routes1
Has abstractyes

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