dc.contributor.author | Hiseni, Pranvera | |
dc.contributor.author | Snipen, Lars-Gustav | |
dc.contributor.author | Wilson, Robert Charles | |
dc.contributor.author | Furu, Kari | |
dc.contributor.author | Hegge, Finn Terje | |
dc.contributor.author | Rudi, Knut | |
dc.date.accessioned | 2024-02-26T12:22:05Z | |
dc.date.available | 2024-02-26T12:22:05Z | |
dc.date.created | 2023-01-24T09:11:06Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | BioTechniques. 2023, 74 (1), 9-21. | en_US |
dc.identifier.issn | 0736-6205 | |
dc.identifier.uri | https://hdl.handle.net/11250/3119913 | |
dc.description.abstract | Butyrate and propionate represent two of three main short-chain fatty acids produced by the intestinal microbiota. In healthy populations, their levels are reportedly equimolar, whereas a deviation in their ratio has been observed in various diseased cohorts. Monitoring such a ratio represents a valuable metric; however, it remains a challenge to adopt short-chain fatty acid detection techniques in clinical settings because of the volatile nature of these acids. Here we aimed to estimate short-chain fatty acid information indirectly through a novel, simple quantitative PCR-compatible assay (liquid array diagnostics) targeting a limited number of microbiome 16S markers. Utilizing 15 liquid array diagnostics probes to target microbiome markers selected by a model that combines partial least squares and linear discriminant analysis, the classes (normal vs high propionate-to-butyrate ratio) separated at a threshold of 2.6 with a prediction accuracy of 96%. | en_US |
dc.language.iso | eng | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.subject | butyrate | en_US |
dc.subject | gut microbiome | en_US |
dc.subject | LAD | en_US |
dc.subject | propionate | en_US |
dc.subject | qPCR | en_US |
dc.subject | SCFA | en_US |
dc.title | Prediction of high fecal propionate-to-butyrate ratios using 16S rRNA-based detection of bacterial groups with liquid array diagnostics | en_US |
dc.title.alternative | Prediction of high fecal propionate-to-butyrate ratios using 16S rRNA-based detection of bacterial groups with liquid array diagnostics | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2023 The Authors. | en_US |
dc.subject.nsi | VDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470 | en_US |
dc.source.pagenumber | 9-21 | en_US |
dc.source.volume | 74 | en_US |
dc.source.journal | BioTechniques | en_US |
dc.source.issue | 1 | en_US |
dc.identifier.doi | 10.2144/btn-2022-0045 | |
dc.identifier.cristin | 2113727 | |
dc.relation.project | Norges forskningsråd: 301364 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |