Evidence map›Paper›PMID 34225800›Full record

ArticleAllergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology2021

Increased levels of serum IL-17 and induced sputum neutrophil percentage are associated with severe early-onset asthma in adults.

Dandan Chen, Yu Zhang, Can Yao, Binbin Li, Sinian Li, Wenwen Liu, Rongchang Chen, Fei Shi

Abstract read
In one paragraph

Article in Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Dandan Chen *Key Laboratory of Shenzhen Respiratory Diseases, Institute of Shenzhen Respiratory Diseases, Shenzhen People's Hospital (The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University), 1017 Dongmen North Road, Shenzhen, 518020, Guangdong, China.
Yu Zhang *Key Laboratory of Shenzhen Respiratory Diseases, Institute of Shenzhen Respiratory Diseases, Shenzhen People's Hospital (The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University), 1017 Dongmen North Road, Shenzhen, 518020, Guangdong, China.
Can Yao *Key Laboratory of Shenzhen Respiratory Diseases, Institute of Shenzhen Respiratory Diseases, Shenzhen People's Hospital (The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University), 1017 Dongmen North Road, Shenzhen, 518020, Guangdong, China.
Binbin LiEmergency Department, Key Laboratory of Shenzhen Respiratory Diseases, Institute of Shenzhen Respiratory Diseases, Shenzhen People's Hospital (The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University), 1017 Dongmen North Road, Shenzhen, 518020, Guangdong, China.
Sinian LiKey Laboratory of Shenzhen Respiratory Diseases, Institute of Shenzhen Respiratory Diseases, Shenzhen People's Hospital (The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University), 1017 Dongmen North Road, Shenzhen, 518020, Guangdong, China.
Wenwen LiuEmergency Department, Key Laboratory of Shenzhen Respiratory Diseases, Institute of Shenzhen Respiratory Diseases, Shenzhen People's Hospital (The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University), 1017 Dongmen North Road, Shenzhen, 518020, Guangdong, China.
Rongchang ChenKey Laboratory of Shenzhen Respiratory Diseases, Institute of Shenzhen Respiratory Diseases, Shenzhen People's Hospital (The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University), 1017 Dongmen North Road, Shenzhen, 518020, Guangdong, China. chenrc@vip.163.com.
Fei ShiEmergency Department, Key Laboratory of Shenzhen Respiratory Diseases, Institute of Shenzhen Respiratory Diseases, Shenzhen People's Hospital (The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University), 1017 Dongmen North Road, Shenzhen, 518020, Guangdong, China. shi.fei@szhospital.com.ORCID http://orcid.org/0000-0002-9082-9140

Funding

Scientific Research and Cultivation Project of Shenzhen People's Hospital SYKYPY201912the Natural Science Foundation of China 81300012the Natural Science Foundation of Guangdong Province, China 2020A151501040
6 · The paper itself

Abstract

backgroundDifferences between adult patients with severe early-onset and late-onset asthma have not been well studied.

objectivesTo determine the phenotypic distinction regarding age at onset in patients with severe asthma.

methodsThe present study enrolled thirty-two patients with severe early-onset (onset age < 12 years) asthma and thirty-two patients with severe late-onset (onset age > 12 years) asthma. Severe asthma was defined according to Global Initiative for Asthma criteria. The clinical, spirometric, and laboratory parameters were collected for group comparisons.

resultsAmong the 64 patients included (mean age, 46.22 ± 13.90 years; 53.1% male), the mean percent of predicted forced expiratory volume in 1 s (FEV1) was 68.43 ± 20.55%. Patients with severe early-onset asthma had a younger age, longer duration of asthma, higher rate of family history, and better small-airway function (MEF25% and MMEF75/25%) compared with severe late-onset asthma. Furthermore, levels of serum IL-17 and sputum neutrophil percentage were significantly higher for patients with severe early-onset asthma (P = 0.016, 0.033, respectively). Multiple logistic regression analysis revealed that increased serum IL-17 (odds ratio = 1.065, P = 0.016) was independently associated with severe early-onset asthma. The combination of serum IL-17 and sputum neutrophil percentage yielded a sensitivity of 80.0% and a specificity of 86.7% for identifying patients with severe early-onset asthma.

conclusionsPatients with severe early-onset asthma exhibit elevated levels of serum IL-17 and sputum neutrophil percentage, suggesting a potential role in the pathogenesis of severe early-onset phenotype.

Indexed as

Early-onsetIL-17NeutrophilSevere asthma

Identifiers

PMID34225800
PMCPMC8256593

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Registered trials

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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.