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Record W4394697034 · doi:10.5114/pja.2024.138537

Evaluation of TGF-β isoforms based on selected clinical parameters in asthmatic patients

2024· article· en· W4394697034 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
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
Fundersnot available
KeywordsGene isoformMedicineTransforming growth factorInternal medicineBiologyGenetics

Abstract

fetched live from OpenAlex

Introduction:The transforming growth factor β (TGF-β) has attracted particular attention from researchers in the context of the pathogenesis and development of asthma and allergic diseases.Undoubtedly, TGF-β is one of the main cytokines involved in mediating inflammation and bronchial remodeling.It stimulates fibroblasts and myofibroblasts, and regulates processes of extracellular matrix remodeling, thus contributing to fibrosis and bronchial remodeling.In long-term inflammation, the airways become stiffened and airflow is impaired, which is sometimes reflected by lower values of spirometric parameters.What may also be observed in aging organs is intensified fibrotic processes.Aim: To evaluate the correlation between concentrations of all the TGF-β 1-3 isoforms and selected clinical parameters, including pulmonary function indices assessed by spirometry. Material and methods:The study included 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 of TGF-β1, TGF-β2 and TGF-β3 were determined by ELISA.The data obtained were then subjected to statistical analysis using the Student's t-test, Mann-Whitney U-test, Fisher's t-test and Pearson's correlation.Results: The obtained results show significantly increased TGF-β1 and TGF-β2 levels among the elderly, both diseased and non-asthmatic individuals.Additionally, higher TGF-β1 and TGF-β2 concentrations correlate significantly with a decreased FEV1%/FVC ratio, while TGF-β2 alone also correlates negatively with FEV1 and FVC values.The TGF-β1 and TGF-β2 isoforms have been shown to be associated with the pathogenesis of asthma.Expression of TGF-β1 and TGF-β2 increases with age.Higher concentrations of TGF-β1 and TGF-β2 significantly translate into worsening spirometric values.Conclusions: It is worth continuing research on TGF-β as a potential marker of remodeling in asthma.

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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.046
GPT teacher head0.369
Teacher spread0.323 · 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
Published2024
Admission routes1
Has abstractyes

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