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.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1159/000528129 | DOI Listing |
J Asthma
January 2025
School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
Background: Studies have suggested associations between montelukast and increased risks of sleep disorders, including overall sleeping problems and insomnia. However, the results of observational studies are not consistent. Understanding these associations is crucial, particularly in patients solely diagnosed with allergic rhinitis, where montelukast use remains prevalent.
View Article and Find Full Text PDFIntroductionAsthma attacks are set off by triggers such as pollutants from the environment, respiratory viruses, physical activity and allergens. The aim of this research is to create a machine learning model using data from mobile health technology to predict and appropriately warn a patient to avoid such triggers.MethodsLightweight machine learning models, XGBoost, Random Forest, and LightGBM were trained and tested on cleaned asthma data with a 70-30 train-test split.
View Article and Find Full Text PDFPEC Innov
June 2025
Department of Respiratory Medicine, Royal Devon and Exeter Hospital, University of Exeter, Exeter, United Kingdom.
Objective: To assess the feasibility and acceptability of adapting a psychoeducation course (Body Reprogramming) for severe asthma and finding suggestions for improvement.
Methods: Severe asthma patients were recruited from a single centre and enrolled in an online group-based course. Each course consisted of four sessions: introduction to BR, stress, exercise, and diet.
Cureus
December 2024
Obstetrics and Gynecology, Cape Fear Valley Health, Fayetteville, USA.
Pelvic masses in women can originate from both gynecological and non-gynecological sources, necessitating careful evaluation to ensure appropriate treatment. Gynecological masses can range from functional ovarian cysts and tubo-ovarian abscesses to malignant and benign tumors. This case report presents a mucinous borderline ovarian tumor (BOT), a rare type of ovarian neoplasm.
View Article and Find Full Text PDFRev Med Liege
January 2025
Service de Pneumologie, CHU Liège, Belgique.
Asthma is a common respiratory disease, accounting for 3 to 10 % of severe cases. Among these, bronchiectasis is more frequent (prevalence between 15.5 % and 67.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!