FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4233136572> ?p ?o ?g. }

• W4233136572 endingPage "702" @default.
• W4233136572 startingPage "702" @default.
• W4233136572 abstract "<ns4:p><ns4:bold>Background:</ns4:bold> Inflammatory bowel disease (IBD) is a group of chronic diseases related to inflammatory processes in the digestive tract generally associated with an immune response to an altered gut microbiome in genetically predisposed subjects. For years, both researchers and clinicians have been reporting increased rates of anxiety and depression disorders in IBD, and these disorders have also been linked to an altered microbiome. However, the underlying pathophysiological mechanisms of comorbidity are poorly understood at the gut microbiome level.</ns4:p><ns4:p> <ns4:bold>Methods:</ns4:bold> Metagenomic and metatranscriptomic data were retrieved from the Inflammatory Bowel Disease Multi-Omics Database. Samples from 70 individuals that had answered to a self-reported depression and anxiety questionnaire were selected and classified by their IBD diagnosis and their questionnaire results, creating six different groups. The cross-validation random forest algorithm was used in 90% of the individuals (training set) to retain the most important species involved in discriminating the samples without losing predictive power. The validation set that represented the remaining 10% of the samples equally distributed across the six groups was used to train a random forest using only the species selected in order to evaluate their predictive power.</ns4:p><ns4:p> <ns4:bold>Results:</ns4:bold> A total of 24 species were identified as the most informative in discriminating the 6 groups. Several of these species were frequently described in dysbiosis cases, such as species from the genus <ns4:italic>Bacteroides</ns4:italic> and <ns4:italic>Faecalibacterium prausnitzii</ns4:italic>. Despite the different compositions among the groups, no common patterns were found between samples classified as depressed. However, distinct taxonomic profiles within patients of IBD depending on their depression status were detected.</ns4:p><ns4:p> <ns4:bold>Conclusions:</ns4:bold> The machine learning approach is a promising approach for investigating the role of microbiome in IBD and depression. Abundance and functional changes in these species suggest that depression should be considered as a factor in future research on IBD.</ns4:p>" @default.
• W4233136572 created "2022-05-12" @default.
• W4233136572 creator A5036656399 @default.
• W4233136572 creator A5064758898 @default.
• W4233136572 creator A5072984614 @default.
• W4233136572 date "2018-06-05" @default.
• W4233136572 modified "2023-09-25" @default.
• W4233136572 title "Investigation of gut microbiome association with inflammatory bowel disease and depression: a machine learning approach" @default.
• W4233136572 cites W1703384511 @default.
• W4233136572 cites W1965651011 @default.
• W4233136572 cites W1976327936 @default.
• W4233136572 cites W1993678078 @default.
• W4233136572 cites W2003525072 @default.
• W4233136572 cites W2030108859 @default.
• W4233136572 cites W2031893281 @default.
• W4233136572 cites W2037315451 @default.
• W4233136572 cites W2062602663 @default.
• W4233136572 cites W2073610170 @default.
• W4233136572 cites W2073636547 @default.
• W4233136572 cites W2092735731 @default.
• W4233136572 cites W2123593284 @default.
• W4233136572 cites W2132929849 @default.
• W4233136572 cites W2171571559 @default.
• W4233136572 cites W2340717842 @default.
• W4233136572 cites W2524172848 @default.
• W4233136572 cites W2548957578 @default.
• W4233136572 cites W2607002167 @default.
• W4233136572 cites W2776445964 @default.
• W4233136572 cites W2911964244 @default.
• W4233136572 doi "https://doi.org/10.12688/f1000research.15091.1" @default.
• W4233136572 hasPublicationYear "2018" @default.
• W4233136572 type Work @default.
• W4233136572 citedByCount "0" @default.
• W4233136572 crossrefType "journal-article" @default.
• W4233136572 hasAuthorship W4233136572A5036656399 @default.
• W4233136572 hasAuthorship W4233136572A5064758898 @default.
• W4233136572 hasAuthorship W4233136572A5072984614 @default.
• W4233136572 hasBestOaLocation W42331365721 @default.
• W4233136572 hasConcept C142724271 @default.
• W4233136572 hasConcept C143121216 @default.
• W4233136572 hasConcept C203014093 @default.
• W4233136572 hasConcept C2778260677 @default.
• W4233136572 hasConcept C2779134260 @default.
• W4233136572 hasConcept C2780675110 @default.
• W4233136572 hasConcept C42407357 @default.
• W4233136572 hasConcept C539455810 @default.
• W4233136572 hasConcept C60644358 @default.
• W4233136572 hasConcept C71924100 @default.
• W4233136572 hasConcept C86803240 @default.
• W4233136572 hasConceptScore W4233136572C142724271 @default.
• W4233136572 hasConceptScore W4233136572C143121216 @default.
• W4233136572 hasConceptScore W4233136572C203014093 @default.
• W4233136572 hasConceptScore W4233136572C2778260677 @default.
• W4233136572 hasConceptScore W4233136572C2779134260 @default.
• W4233136572 hasConceptScore W4233136572C2780675110 @default.
• W4233136572 hasConceptScore W4233136572C42407357 @default.
• W4233136572 hasConceptScore W4233136572C539455810 @default.
• W4233136572 hasConceptScore W4233136572C60644358 @default.
• W4233136572 hasConceptScore W4233136572C71924100 @default.
• W4233136572 hasConceptScore W4233136572C86803240 @default.
• W4233136572 hasLocation W42331365721 @default.
• W4233136572 hasOpenAccess W4233136572 @default.
• W4233136572 hasPrimaryLocation W42331365721 @default.
• W4233136572 hasRelatedWork W2220193300 @default.
• W4233136572 hasRelatedWork W2426105576 @default.
• W4233136572 hasRelatedWork W2623192675 @default.
• W4233136572 hasRelatedWork W2887770030 @default.
• W4233136572 hasRelatedWork W2943964990 @default.
• W4233136572 hasRelatedWork W2985172286 @default.
• W4233136572 hasRelatedWork W3213764102 @default.
• W4233136572 hasRelatedWork W4223576130 @default.
• W4233136572 hasRelatedWork W4310642943 @default.
• W4233136572 hasRelatedWork W1964116224 @default.
• W4233136572 hasVolume "7" @default.
• W4233136572 isParatext "false" @default.
• W4233136572 isRetracted "false" @default.
• W4233136572 workType "article" @default.