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dc.contributor.authorAbouelhana, Hesham Amin Mohamed
dc.contributor.authorŠantl-Temkiv, Tina
dc.contributor.authorCramer, Christine
dc.contributor.authorFinster, Kai
dc.contributor.authorGomez Real, Francisco
dc.contributor.authorGislason, Thorarinn
dc.contributor.authorHolm, Mathias
dc.contributor.authorJanson, Christer
dc.contributor.authorJögi, Nils Oskar
dc.contributor.authorJogi, Rain
dc.contributor.authorMalinovschi, Andrei
dc.contributor.authorMarshall, Ian P. G.
dc.contributor.authorModig, Lars
dc.contributor.authorNorbäck, Dan
dc.contributor.authorShigdel, Rajesh
dc.contributor.authorSigsgaard, Torben
dc.contributor.authorSvanes, Cecilie
dc.contributor.authorThorarinsdottir, Hulda
dc.contributor.authorWouters, Inge M.
dc.contributor.authorSchlünssen, Vivi
dc.contributor.authorBertelsen, Randi Jacobsen
dc.date.accessioned2024-03-22T14:08:47Z
dc.date.available2024-03-22T14:08:47Z
dc.date.created2023-10-10T13:57:32Z
dc.date.issued2023
dc.identifier.issn0013-936X
dc.identifier.urihttps://hdl.handle.net/11250/3123915
dc.description.abstractAirborne bacteria and endotoxin may affect asthma and allergies. However, there is limited understanding of the environmental determinants that influence them. This study investigated the airborne microbiomes in the homes of 1038 participants from five cities in Northern Europe: Aarhus, Bergen, Reykjavik, Tartu, and Uppsala. Airborne dust particles were sampled with electrostatic dust fall collectors (EDCs) from the participants’ bedrooms. The dust washed from the EDCs’ clothes was used to extract DNA and endotoxin. The DNA extracts were used for quantitative polymerase chain (qPCR) measurement and 16S rRNA gene sequencing, while endotoxin was measured using the kinetic chromogenic limulus amoebocyte lysate (LAL) assay. The results showed that households in Tartu and Aarhus had a higher bacterial load and diversity than those in Bergen and Reykjavik, possibly due to elevated concentrations of outdoor bacterial taxa associated with low precipitation and high wind speeds. Bergen-Tartu had the highest difference (ANOSIM R = 0.203) in β diversity. Multivariate regression models showed that α diversity indices and bacterial and endotoxin loads were positively associated with the occupants’ age, number of occupants, cleaning frequency, presence of dogs, and age of the house. Further studies are needed to understand how meteorological factors influence the indoor bacterial community in light of climate change.en_US
dc.language.isoengen_US
dc.publisherACSen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleIndoor Airborne Microbiome and Endotoxin: Meteorological Events and Occupant Characteristics Are Important Determinantsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1021/acs.est.3c01616
dc.identifier.cristin2183392
dc.source.journalEnvironmental Science and Technologyen_US
dc.source.pagenumber11750-11766en_US
dc.relation.projectNorges forskningsråd: 274767en_US
dc.identifier.citationEnvironmental Science and Technology. 2023, 57 (32), 11750-11766.en_US
dc.source.volume57en_US
dc.source.issue32en_US


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