Evidence map›Paper›PMID 37637476›Full record

ArticleJournal of asthma and allergy2023

High Transcriptional Activity and Clinical Correlations in Eosinophils of Patients with Late-Onset Asthma.

Ting-Yu Lin, Chun-Yu Lo, Po-Jui Chang, Yu-Lun Lo, Chung-Shu Lee, Chih-Hao Chang, Chih-Teng Yu, Jonathan Huai Yao, Shu-Min Lin

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In one paragraph

Article in Journal of asthma and allergy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Ting-Yu LinDepartment of Thoracic Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan.ORCID 0000-0002-4193-0728
Chun-Yu LoDepartment of Thoracic Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan.
Po-Jui ChangDepartment of Thoracic Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan.
Yu-Lun LoDepartment of Thoracic Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan.
Chung-Shu LeeDepartment of Thoracic Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan.
Chih-Hao ChangDepartment of Thoracic Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan.
Chih-Teng YuDepartment of Thoracic Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan.
Jonathan Huai YaoDepartment of Thoracic Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan.
Shu-Min LinDepartment of Thoracic Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan.
Chang Gung University · TWChang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The immunological features of eosinophils in early-onset asthma (EOA) differ from those in late-onset asthma (LOA). Clinical trials of anti-interleukin-5 (IL-5) treatment for severe eosinophilic asthma showed a better response for LOA patients than EOA patients. We wonder if the transcriptional activity of activated eosinophils was different in EOA and LOA. Methods: Eosinophils obtained from well-controlled EOA and LOA patients and normal subjects were compared in terms of the mRNA expression of activation-related genes and specific markers related to cell functions in eosinophils activated by IL-5 or IL-17. The correlation between mRNA expression and clinical features and lung function was further analyzed. Results: The transcriptional expression of most genes was higher in activated eosinophils from LOA patients than in those from EOA patients and normal subjects. After IL-17 stimulation, the expression of certain genes was higher in atopic EOA patients than in non-atopic EOA patients. Similar observation was noted in obese EOA patients. After IL-5 stimulation, the transcriptional expression of most genes in eosinophils from LOA patients was negatively correlated with indicators of lung function. These correlations were less pronounced in EOA patients: After IL-17 stimulation, some genes in EOA patients were negatively correlated with post-bronchodilator changes in lung function. Conclusion: This study describes differences in the transcriptional active patterns of eosinophils and their correlation to atopy and obesity by age of onset. High transcriptional activity in activated eosinophils and a negative correlation to lung function indicate the importance of eosinophils in the pathogenesis of LOA.

Indexed as

early-onset asthmaeosinophilslate-onset asthmamessenger RNA

Identifiers

PMID37637476
PMCPMC10455810
OpenAlexW4386033859

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.