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Record W4394697731 · doi:10.5114/pja.2024.138449

Evaluation of serum levels of all the transforming growth factor β (TGF-β 1-3) isoforms in asthmatic patients

2024· article· en· W4394697731 on OpenAlexaboutno aff
Marcelina Koćwin, Mateusz Jonakowski, Alicja Majos, Janusz Szemraj, Piotr Kuna, Michał Panek

Bibliographic record

VenueAlergologia Polska - Polish Journal of Allergology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTGF-β signaling in diseases
Canadian institutionsnot available
Fundersnot available
KeywordsTransforming growth factorGene isoformTransforming growth factor betaInternal medicineGrowth factorMedicineEndocrinologyCancer researchImmunologyBiologyGeneticsGeneReceptor

Abstract

fetched live from OpenAlex

Introduction: Asthma is a heterogeneous chronic inflammatory disease of the airways.Chronic inflammation leads to changes in the structure and stiffening of the bronchial wall, and irreversible disruption of airflow through the airways.One of the factors researchers consider important in the process of inflammation and fibrosis is the transforming growth factor β (TGF-β).Overexpression of TGF-β in the structural cells of the bronchial tree is thought to translate into excessive secretion of type I and III collagen, fibronectin, tenascin and proteoglycans, as well as inhibition of matrix metalloproteinases and collagenases, promoting the phenomenon of remodeling.Aim: To evaluate serum levels of all the TGF-β (TGF-β 1-3) isoforms in asthmatic patients, compare the obtained results with those of non-asthmatic subjects, and analyze potential correlations between particular isoforms. Material and methods:The study included 69 individuals, 41 asthmatic patients and 28 non-asthmatic volunteers recruited from the Department of Allergology and the Allergy and Pulmonology Outpatient Clinic of N. Barlicki University Teaching Hospital No. 1 in Lodz.The participants underwent a full medical examination and spirometry, and blood samples were collected from them for serum TGF-β levels.Individual isoforms, i.e., TGF-β1, TGF-β2 and TGF-β3, were determined by ELISA.The data obtained were then subjected to statistical analysis using Student's t-test, the Mann-Whitney U-test, Fisher's t-test and Pearson's correlation method.Results: The obtained results show a significant increase in TGF-β1 and TGF-β2 levels, as well as a slight increase in TGF-β3 concentration among asthmatic patients compared to the general population.Additionally, there occurred a significant association between TGF-β1 and TGF-β2.TGF-β1 and TGF-β2 isoforms were found to be associated with the pathogenesis of asthma.Among the patients, serum TGF-β levels were significantly higher compared to the control group.Conclusions: The TGF-β1 and TGF-β2 isoforms appear to have a cumulative effect on remodeling processes in the airways.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.034
GPT teacher head0.306
Teacher spread0.272 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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