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Next Generation Sequencing for miRNA Detection on the Exhaled Breath Condensate: A Pilot Study.

Authors :
Cherchi, Roberto
Cusano, Roberto
Orrù, Sandro
Ferrari, Paolo A.
Massidda, Matteo
Fotia, Giorgio
De Matteis, Sara
Cocco, Pierluigi
Source :
Epigenetics Insights. Jan-Dec2023, Vol. 16, p1-7. 7p.
Publication Year :
2023

Abstract

INTRODUCTION: Exhaled breath condensate (EBC) sampling has been suggested as a less-invasive and cost-effective method to detect biological macromolecules, including miRNA. To explore the feasibility of its use as a biomarker of early effects of asbestos exposure, we conducted a preliminary test on male volunteers by comparing the miRNA profile in the EBC and the plasma using 2 different sequencing platforms. METHODS: Six male volunteers, all retired and unexposed to dust or fumes, participated in the test. RNA was extracted from 200 μL EBC samples and same-size plasma samples. Sample aliquots were processed in 2 laboratories using 2 different sequencing platforms: a MiSeq Illumina® platform and a more performing HiSeq Illumina® platform. RESULTS: The HiSeq3000® sequencing platform identified twice as many unique molecular indexes (UMI)-validated miRNA as the MiSeq® platform. The Spearman's correlation coefficient between EBC counts and plasma counts was significant in 5/6 subjects with either platform (MiSeq® = 0.128-0.508, P = .026-<.001; HiSeq® = 0.156-0.412, P = .001-<.001). The intraclass correlation coefficient confirmed the consistency of the miRNA profile over the 6 participants with both biospecimens. Exploring the agreement between the EBC and plasma samples with Bland-Altman plots showed that using the HiSeq3000® platform substantially improved the EBC miRNA detection rate. CONCLUSION: Our preliminary study confirms that, when using the HiSeq® sequencing platform, EBC sampling is a suitable, non-invasive method to detect the miRNA profile in healthy subjects. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
25168657
Volume :
16
Database :
Academic Search Index
Journal :
Epigenetics Insights
Publication Type :
Academic Journal
Accession number :
175941496
Full Text :
https://doi.org/10.1177/25168657231160985