Related Experiment Video
Updated: Aug 13, 2025

Methodology for Sputum Induction and Laboratory Processing
Published on: December 17, 2017
Differential Circular RNA Expression Profiles in Induced Sputum of Patients with Asthma
Changyi Xu1,2,3, Lijuan Du1,2, Yubiao Guo1,2
1Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Introduction:
circRNA played a role in a variety of diseases. This paper aimed to explore the differentially expressed circRNA in induced sputum cells of asthma patients, so as to provide new potential biomarkers and new ideas for the study of asthma.
Methods:
All subjects were from the First Affiliated Hospital of Sun Yat-sen University. Differentially expressed circRNAs of asthma patients were screened by high-throughput sequencing. qRT-PCR was used to verify the expression of differential circRNAs. The association between circRNA and asthma was explored by analyzing the correlation between circRNA and clinical data and some cytokines of asthma patients. The possible ceRNA network was analyzed and predicted by online software, and the expression of each molecule in the network was preliminary verified by qRT-PCR in induced sputum cells and 16HBE cell.
Results:
We screened a total of 49 circRNAs differentially expressed in asthma patients (including 12 circRNAs with elevated expression and 37 circRNAs with decreased expression), among which has_circSORT1 and has_circSERPINB1 were significantly elevated. Correlation analysis showed that has_circSORT1 was correlated with FeNO, EOS%, IL-17A, IFN-γ, and PC20, and has_circSERPINB1 was correlated with IL-6, IL-17A, IFN-γ, FEV1%, and FVC%. The possible existence of has_circSORT1/has-miR-185-3p/ZNFX1, a ceRNA regulatory network, in induced sputum cells of asthma patients was hypothesized by online software prediction and qRT-PCR in sputum cells and 16HBE.
Conclusion:
Differentially expressed circRNAs existed in induced sputum cells of asthma patients, among which has_circSORT1 and has_circSERPINB1 were significantly upregulated and may be involved in the process of asthma disease, which could be expected to be a potential biomarker for asthma diagnosis. In addition, a ceRNA regulatory network, has_circSORT1/has-miR-185-3p/ZNFX1, may exist in asthma.
Related Concept Videos
Asthma-II: Pathophysiology and Classification
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
Asthma: Pathogenesis and Management
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies
Medical History
Asthma-IV: Diagnostic and Management
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
Asthma-I: Introduction

