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Published on: August 7, 2017
Childhood Asthma Biomarkers Derived from Plasma and Saliva Exosomal miRNAs
Abdelnaby Khalyfa1, Mohit Verma1,2, Meghan M Alexander3
1Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25701, USA.
Insights
Exosomes in saliva and blood reveal distinct microRNA (miRNA) and long non-coding RNA (lncRNA) profiles in boys with severe asthma. These RNA biomarkers show potential for non-invasive asthma diagnosis and monitoring.
Area of Science:
- Biochemistry
- Genetics
- Pediatric Pulmonology
Background:
- Asthma is a common pediatric respiratory condition characterized by airway inflammation and hyper-responsiveness.
- Exosomes, containing microRNAs (miRNAs), are crucial for cell communication and are potential biomarkers for asthma severity.
- Understanding exosomal RNA profiles can aid in differentiating asthma severity in children.
Purpose of the Study:
- To compare exosomal miRNA and long non-coding RNA (lncRNA) profiles in boys with asthma, distinguishing between normal lung function and severe airflow obstruction.
- To identify potential non-invasive biomarkers for asthma severity using exosomal RNA analysis.
- To explore the role of exosomal miRNAs and lncRNAs in asthma pathogenesis and progression.
Main Methods:
- Enrolled 20 boys (aged 9-18) with asthma, divided into normal lung function (NLF) and severe airflow obstruction (SAO) groups.
- Collected saliva and blood samples for exosome isolation and small RNA sequencing.
- Utilized bioinformatic tools to identify differentially expressed (DE) miRNAs and lncRNAs and analyze associated pathways.
Main Results:
- Subjects with SAO exhibited higher rates of allergen sensitization, IgE levels, and eosinophils.
- Identified 27 DE miRNAs in plasma and 40 DE miRNAs in saliva.
- Discovered five key miRNAs common to both saliva and plasma, linked to neurotrophin and immune receptor signaling pathways.
Conclusions:
- Differentially expressed miRNAs and lncRNAs were identified in children with SAO compared to NLF.
- Exosomal miRNAs hold significant promise as non-invasive biomarkers for personalized asthma diagnosis, treatment, and monitoring.
- These RNA markers can potentially track disease progression and therapeutic response, supporting precision medicine applications.
Abstract:
Asthma, the most common chronic respiratory condition in children, involves airway inflammation, hyper-responsiveness, and frequent exacerbation that worsen the airflow and inflammation. Exosomes, extracellular vesicles carrying microRNAs (miRNAs), play a key role in cell communication alongside other types of communication and are promising markers of asthma severity. This study compares exosomal miRNA and long non-coding RNA (lncRNA) profiles in boys with asthma, focusing on differences between those with normal lung functions and those with severe airflow obstruction. This study enrolled 20 boys aged 9-18 years with asthma, split into two groups based on their lung function. Ten had normal lung function (NLF; FEV1/FVC > 0.84, FEF75% > 69% predicted), while ten had severe airflow obstruction (SAO; FEV1/FVC < 0.70, FEF75 < 50% predicted). Saliva and blood samples were collected. Exosomes were isolated, quantified, and analyzed via small RNA sequencing to identify differentially expressed (DE) miRNA and lncRNA profiles. Bioinformatic tools were then used to explore potential miRNA biomarkers linked to asthma severity. SAO subjects were more likely to exhibit allergen sensitization, higher IgE levels, and more eosinophils. We identified 27 DE miRNAs in plasma and 40 DE miRNAs in saliva. Additionally, five key miRNAs were identified in both saliva and plasma which underline important pathways such as neurotrophins, T-cell receptor, and B-cell receptor signaling. We further outlined key features and functions of miRNAs and long non-coding RNAS (lncRNAs) and their interactions in children with asthma. This study identified DE miRNAs and lncRNAs in children with SAO when compared to those with NLF. Exosomal miRNAs show strong potential as non-invasive biomarkers for personalized asthma diagnosis, treatment, and monitoring. These RNA markers may also aid in tracking disease progression and response to therapy, thereby supporting the need for future studies aimed at applications in precision medicine.
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