microRNA expression profiles and personal monitoring of exposure to particulate matter

Francesca Romana Mancini, Jessica E. Laine, Sonia Tarallo, Jelle Vlaanderen, Roel Vermeulen, Erik van Nunen, Gerard Hoek, Nicole Probst-Hensch, Medea Imboden, Ayoung Jeong, John Gulliver, Marc Chadeau-Hyam, Mark Nieuwenhuijsen, Theo M. de Kok, Jolanda Piepers, Julian Krauskopf, Jos C. S. Kleinjans, Paolo Vineis, Alessio Naccarati*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

An increasing number of findings from epidemiological studies support associations between exposure to air pollution and the onset of several diseases, including pulmonary, cardiovascular and neurodegenerative diseases, and malignancies. However, intermediate, and potentially mediating, biological mechanisms associated with exposure to air pollutants are largely unknown. Previous studies on the human exposome have shown that the expression of certain circulating microRNAs (miRNAs), regulators of gene expression, are altered upon exposure to traffic-related air pollutants. In the present study, we investigated the relationship between particulate matter (PM) smaller than 2.5 mm (PM2.5), PM2.5 absorbance (as a proxy of black carbon and soot), and ultrafine-particles (UFP, smaller than 0.1 mm), measured in healthy volunteers by 24 h personal monitoring (PEM) sessions and global expression levels of peripheral blood miRNAs. The PEM sessions were conducted in four European countries, namely Switzerland (Basel), United Kingdom (Norwich), Italy (Turin), and The Netherlands (Utrecht). miRNAs expression levels were analysed using microarray technology on blood samples from 143 participants. Seven miRNAs, hsa-miR-24-3p, hsa-miR-4454, hsa-miR-4763-3p, hsa-miR-425-5p, hsa-let-7d-5p, hsa-miR502-5p, and hsa-miR-505-3p were significantly (FDR corrected) expressed in association with PM2.5 personal exposure, while no significant association was found between miRNA expression and the other pollutants. The results obtained from this investigation suggest that personal exposure to PM2.5 is associated with miRNA expression levels, showing the potential for these circulating miRNAs as novel biomarkers for air pollution health risk assessment. (C) 2020 Elsevier Ltd. All rights reserved.

Original languageEnglish
Article number114392
Number of pages7
JournalEnvironmental Pollution
Volume263
DOIs
Publication statusPublished - Aug 2020

Keywords

  • microRNAs
  • Air pollution
  • Fine and ultrafine particles
  • Personal monitoring
  • USE REGRESSION-MODELS
  • AIR-POLLUTION

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