Dynamics of the Lipidome in a Colon Simulator

dc.contributor.authorKråkström Matilda
dc.contributor.authorDickens Alex M
dc.contributor.authorAmaral Alves Marina
dc.contributor.authorForssten Sofia D
dc.contributor.authorOuwehand Arthur C
dc.contributor.authorHyötyläinen Tuulia
dc.contributor.authorOrešič Matej
dc.contributor.authorLamichhane Santosh
dc.contributor.organizationfi=InFLAMES Lippulaiva|en=InFLAMES Flagship|
dc.contributor.organizationfi=Turun biotiedekeskus|en=Turku Bioscience Centre|
dc.contributor.organization-code1.2.246.10.2458963.20.18586209670
dc.contributor.organization-code1.2.246.10.2458963.20.68445910604
dc.contributor.organization-code2609201
dc.converis.publication-id179337590
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/179337590
dc.date.accessioned2025-08-28T03:34:04Z
dc.date.available2025-08-28T03:34:04Z
dc.description.abstractCurrent evidence suggests that gut microbiome-derived lipids play a crucial role in the regulation of host lipid metabolism. However, not much is known about the dynamics of gut microbial lipids within the distinct gut biogeographic. Here we applied targeted and untargeted lipidomics to in vitro-derived feces. Simulated intestinal chyme was collected from in vitro gut vessels (V1-V4), representing proximal to distal parts of the colon after 24 and 48 h with/without polydextrose treatment. In total, 44 simulated chyme samples were collected from the in vitro colon simulator. Factor analysis showed that vessel and time had the strongest impact on the simulated intestinal chyme lipid profiles. We found that levels of phosphatidylcholines, sphingomyelins, triacylglycerols, and endocannabinoids were altered in at least one vessel (V1-V4) during simulation. We also found that concentrations of triacylglycerols, diacylglycerols, and endocannabinoids changed with time (24 vs. 48 h of simulation). Together, we found that the simulated intestinal chyme revealed a wide range of lipids that remained altered in different compartments of the human colon model over time.
dc.identifier.jour-issn2218-1989
dc.identifier.olddbid210833
dc.identifier.oldhandle10024/193860
dc.identifier.urihttps://www.utupub.fi/handle/11111/56599
dc.identifier.urlhttps://www.mdpi.com/2218-1989/13/3/355
dc.identifier.urnURN:NBN:fi-fe2023042739025
dc.language.isoen
dc.okm.affiliatedauthorKråkström, Matilda
dc.okm.affiliatedauthorDickens, Alex
dc.okm.affiliatedauthorAmaral Alves, Marina
dc.okm.affiliatedauthorOresic, Matej
dc.okm.affiliatedauthorLamichhane, Santosh
dc.okm.discipline318 Medical biotechnologyen_GB
dc.okm.discipline318 Lääketieteen bioteknologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherMDPI
dc.publisher.countrySwitzerlanden_GB
dc.publisher.countrySveitsifi_FI
dc.publisher.country-codeCH
dc.relation.articlenumber355
dc.relation.doi10.3390/metabo13030355
dc.relation.ispartofjournalMetabolites
dc.relation.issue3
dc.relation.volume13
dc.source.identifierhttps://www.utupub.fi/handle/10024/193860
dc.titleDynamics of the Lipidome in a Colon Simulator
dc.year.issued2023

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