BACKGROUND: Exposure to air pollutants, such as particulate matter (PM), represents a growing health problem. The aim of our study was to investigate whether PM could induce a dysbiosis in the nasal microbiota in terms of α-diversity and taxonomic composition. METHODS: We investigated structure and characteristics of the microbiota of 40 healthy subjects through metabarcoding analysis of the V3-V4 regions of the 16s rRNA gene. Exposure to PM10 and PM2.5 was assessed with a personal sampler worn for 24h before sample collection (Day -1) and with measurements from monitoring stations (from Day -2 to Day -7). RESULTS: We found an inverse association between PM10 and PM2.5 levels of the 3rd day preceding sampling (Day -3) and α-diversity indices (Chao1, Shannon and PD_whole_tree). Day -3 PM was inversely associated also with the majority of analyzed taxa, except for Moraxella, which showed a positive association. In addition, subjects showed different structural profiles identifying two groups: one characterized by an even community and another widely dominated by the Moraxella genus. CONCLUSIONS: Our findings support the role of PM exposure in influencing microbiota and altering the normal homeostasis within the bacterial community. Whether these alterations could have a role in disease development and/or exacerbation needs further research.

Short-term particulate matter exposure influences nasal microbiota in a population of healthy subjects / J. Mariani, C. Favero, A. Spinazzè, D.M.G. Cavallo, M. Carugno, V. Motta, M. Bonzini, A. Cattaneo, A.C. Pesatori, V. Bollati. - In: ENVIRONMENTAL RESEARCH. - ISSN 0013-9351. - 162(2018 Apr), pp. 119-126.

Short-term particulate matter exposure influences nasal microbiota in a population of healthy subjects

J. Mariani
;
C. Favero;D.M.G. Cavallo;M. Carugno;V. Motta;M. Bonzini;A.C. Pesatori;V. Bollati
2018

Abstract

BACKGROUND: Exposure to air pollutants, such as particulate matter (PM), represents a growing health problem. The aim of our study was to investigate whether PM could induce a dysbiosis in the nasal microbiota in terms of α-diversity and taxonomic composition. METHODS: We investigated structure and characteristics of the microbiota of 40 healthy subjects through metabarcoding analysis of the V3-V4 regions of the 16s rRNA gene. Exposure to PM10 and PM2.5 was assessed with a personal sampler worn for 24h before sample collection (Day -1) and with measurements from monitoring stations (from Day -2 to Day -7). RESULTS: We found an inverse association between PM10 and PM2.5 levels of the 3rd day preceding sampling (Day -3) and α-diversity indices (Chao1, Shannon and PD_whole_tree). Day -3 PM was inversely associated also with the majority of analyzed taxa, except for Moraxella, which showed a positive association. In addition, subjects showed different structural profiles identifying two groups: one characterized by an even community and another widely dominated by the Moraxella genus. CONCLUSIONS: Our findings support the role of PM exposure in influencing microbiota and altering the normal homeostasis within the bacterial community. Whether these alterations could have a role in disease development and/or exacerbation needs further research.
16S rRNA gene; Air pollution; Microbiota; Particulate matter
Settore MED/44 - Medicina del Lavoro
   Susceptibily to Particle Healt Effects, miRNAs and Exosomes
   SPHERE
   EUROPEAN COMMISSION
   FP7
   282413
apr-2018
29-dic-2017
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/551311
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