lack of funding

Asthma is the most common chronic disease in children, however, underdiagnosis of childhood asthma is an important issue in asthma management. The lack of reliable and objective diagnostic indicators requires the development of rapid and accurate strategies for the early diagnosis of childhood asthma. Recent studies have found a correlation between long-chain non-coding RNA (lncRNA) expression and childhood asthma, suggesting that lncRNA may be a potential biomarker for asthma diagnosis.

The investigators envision exploring the early diagnosis of asthma by combining lncRNA with electronic medical records. In this project, the investigators will combine high-throughput sequencing, asthma case database, electronic medical record and informatics to investigate the feasibility of combining lncRNA with electronic medical record for asthma diagnostic model. The expected results will establish the foundation for the diagnosis and treatment of childhood asthma and open up new ideas.

Inclusion Criteria:

children with recurrent wheezing

Exclusion Criteria:

1. diagnosis of other chronic respiratory disease (e.g. cystic fibrosis, bronchopulmonary dysplasia, etc)
2. immunodeficiency- acquired or congenital
3. neuromuscular disease
4. congenital heart disease

Children with recurrent wheezing who apply to Department of Respiratory Medicine, Children's Hospital of Fudan University.

The investigators do not currently have an individual participant data sharing plan. However, de-identified research data/documents may be shared in the future with other investigators who share similar research interests.

Specimens and data will not be released without (1) PI written permission and (2) appropriate Institutional Review Board (IRB) approval. Data use and/or material transfer agreements will also be required as applicable to outside researchers.