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Record W4404814358 · doi:10.26685/urncst.705

Molecular Mechanisms Driving Alveolarization and Their Clinical Implications: A Literature Review

2024· review· en· W4404814358 on OpenAlexaff
Raxsana Sivapalan

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2024
Typereview
Languageen
FieldHealth Professions
TopicPediatric health and respiratory diseases
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsForensic engineeringEngineering

Abstract

fetched live from OpenAlex

Introduction: The highly coordinated process of lung organogenesis is essential for healthy respiratory function. This review aims to unveil the molecular pathways underlying alveolar development, a critical component of lung maturation. Methods: A comprehensive literature analysis was conducted, focusing on significant signalling pathways, transcription factors, and regulatory components involved in each stage of alveolar development. This approach was taken to understand the molecular intricacies of both prenatal and postnatal lung development. Results: Lung development progresses through five stages: embryonic, pseudoglandular, canalicular, saccular, and alveolar. Each stage involves distinct morphological changes, alongside specific molecular interactions that regulate alveolar cell differentiation and maturation. FGF signalling is crucial during the pseudoglandular and canalicular stages, while Wnt and TGF-β signalling are particularly active in late-stage alveolarization, facilitating alveolar septation and surfactant production. Transcription factors like Nkx2.1, Foxa2, and Sox2 orchestrate the development of epithelial cell populations that give rise to alveoli. Disruptions in these molecular processes can result in impaired lung function and conditions such as ARDS and BPD. Discussion: The intricate crosstalk between signalling pathways, transcription factors, and the extracellular matrix is critical for proper alveolar development. The complex interplay of genetic, environmental, and mechanical factors can significantly impact alveolar development, leading to severe respiratory conditions. While current research provides valuable insights, in vivo studies are needed to elucidate the dynamics of crucial signalling pathways during lung development. Furthermore, the long-term effects of early-life environmental exposures on alveolarization and lung function need to be explored. Conclusion: Alveolarization is vital for lung development and respiratory function. This review highlights the importance of signalling pathways and cellular interactions in this process.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.155
GPT teacher head0.575
Teacher spread0.420 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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