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Since Cell Transcriptomic Profiling of Cytochrome P450 Expression in the Lung in COPD

2025· article· en· W4410273312 on OpenAlexaff
Robert Foronjy, Oleg V. Evgrafov, Alison Wallace, Richard E. Murphy, Shwetha Phatarpekar, A. Parthiban, Abdoulaye Dabo

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineTranscriptomeCOPDProfiling (computer programming)Gene expression profilingLungCytochrome P450Computational biologyBioinformaticsIntensive care medicineGene expressionInternal medicineGeneticsGeneMetabolismBiology

Abstract

fetched live from OpenAlex

Abstract Introduction: Cytochrome P450 enzymes (CYPs) metabolize endogenous and exogenous compounds to preserve tissue integrity. The lung is intimately exposed to the environment and CYPs play an indispensable role in detoxifying airborne irritants like cigarette smoke and pollution. In addition, CYPs can both activate and deactivate carcinogens and thus they exert significant effects on lung cancer development, particularly in smokers. CYPs are expressed in the lung in alveolar and airway epithelial cells, endothelial cells, macrophages and smooth muscle cells. The distribution of cytochrome P450 enzymes in the lung underscores their significance and the effects they exert on both protective and potentially harmful metabolic processes in the lung. Given their impact, it is important to understand whether CYP expression changes within the lungs of COPD subjects. Conceivably, changes in CYP expression could alter the metabolism of inhaled irritants potentially influencing the development of lung cancer and other respiratory diseases. Methods: Formalin fixed paraffin embedded (FFPE) lung tissue blocks from age-matched smokers with and without COPD were collected (N=2 per group). 10-micron shavings from these FFPE blocks underwent deparaffination and rehydration of the cells in order to check RNA integrity. Those samples with good RNA integrity were then processed for single cell sequencing. 20-micron shavings from the FFPE blocks with excellent RNA integrity underwent deparaffination and rehydration of the cells. Single cell sequencing was then conducted on these cells isolated from paraffin-embedded, formalin fixed lung tissue from smokers with and without COPD (N=2 per group). CYP expression in the lung was then analyzed. Results: Using shavings from FFPE lung tissue blocks, we were able to obtain high quality scRNA-seq data and identified 20 distinct cell types within our samples (Figure 1). CYP2E1 was widely expressed in the lung and did not concentrate in the airway epithelium (Figure 2). In contrast to CYP2E1, the expression of CYP2F1 focally concentrated in ciliated and Club cells in the lung (Figure 3). Single cell sequencing of cells from the lungs of age-matched healthy and COPD subjects demonstrated reduced expression of CYP2F1 in COPD (Figure 3) and reduced expression of CYP4X1 and CYP2J2 in Cluster 2 in COPD (Table1). Conclusions: This single cell transcriptomic study identified the diverse distribution of CYP enzymes in the lung and found differential expression of CYP enzymes in COPD. Future studies will evaluate the impact of CYP2F1 depletion in COPD by smoke-exposing airway specific CYP2F1 knockout mice to chronic cigarette smoke exposure.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.354
Teacher spread0.342 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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