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Integrated analysis of the transcriptome and its interaction with the metabolome in metabolic associated fatty liver disease: Gut microbiome signatures, correlation networks, and effect of PNPLA3 genotype
Interactions between communities of the gut microbiome and with the host could affect the onset and progression of metabolic associated fatty liver disease (MAFLD), and can be useful as new diagnostic and prognostic biomarkers. In this study, we performed a multi-omics approach to unravel gut microb...
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Published in: | Proteomics (Weinheim) 2023-09, Vol.23 (18), p.e2200414 |
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creator | Mascardi, María Florencia Mazzini, Flavia Noelia Suárez, Bárbara Ruda, Vera M Marciano, Sebastián Casciato, Paola Narvaez, Adrián Haddad, Leila Anders, Margarita Orozco, Federico Tamaroff, Ana Jesica Cook, Frank Gounarides, John Gutt, Susana Gadano, Adrián García, Celia Méndez Marro, Martin L Penas Steinhardt, Alberto Trinks, Julieta |
description | Interactions between communities of the gut microbiome and with the host could affect the onset and progression of metabolic associated fatty liver disease (MAFLD), and can be useful as new diagnostic and prognostic biomarkers. In this study, we performed a multi-omics approach to unravel gut microbiome signatures from 32 biopsy-proven patients (10 simple steatosis -SS- and 22 steatohepatitis -SH-) and 19 healthy volunteers (HV). Human and microbial transcripts were differentially identified between groups (MAFLD vs. HV/SH vs. SS), and analyzed for weighted correlation networks together with previously detected metabolites from the same set of samples. We observed that expression of Desulfobacteraceae bacterium, methanogenic archaea, Mushu phage, opportunistic pathogenic fungi Fusarium proliferatum and Candida sorbophila, protozoa Blastocystis spp. and Fonticula alba were upregulated in MAFLD and SH. Desulfobacteraceae bacterium and Mushu phage were hub species in the onset of MAFLD, whereas the activity of Fonticula alba, Faecalibacterium prausnitzii, and Mushu phage act as key regulators of the progression to SH. A combination of clinical, metabolomic, and transcriptomic parameters showed the highest predictive capacity for MAFLD and SH (AUC = 0.96). In conclusion, faecal microbiome markers from several community members contribute to the switch in signatures characteristic of MAFLD and its progression towards SH. |
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In this study, we performed a multi-omics approach to unravel gut microbiome signatures from 32 biopsy-proven patients (10 simple steatosis -SS- and 22 steatohepatitis -SH-) and 19 healthy volunteers (HV). Human and microbial transcripts were differentially identified between groups (MAFLD vs. HV/SH vs. SS), and analyzed for weighted correlation networks together with previously detected metabolites from the same set of samples. We observed that expression of Desulfobacteraceae bacterium, methanogenic archaea, Mushu phage, opportunistic pathogenic fungi Fusarium proliferatum and Candida sorbophila, protozoa Blastocystis spp. and Fonticula alba were upregulated in MAFLD and SH. Desulfobacteraceae bacterium and Mushu phage were hub species in the onset of MAFLD, whereas the activity of Fonticula alba, Faecalibacterium prausnitzii, and Mushu phage act as key regulators of the progression to SH. A combination of clinical, metabolomic, and transcriptomic parameters showed the highest predictive capacity for MAFLD and SH (AUC = 0.96). In conclusion, faecal microbiome markers from several community members contribute to the switch in signatures characteristic of MAFLD and its progression towards SH.</description><identifier>ISSN: 1615-9853</identifier><identifier>ISSN: 1615-9861</identifier><identifier>EISSN: 1615-9861</identifier><identifier>DOI: 10.1002/pmic.202200414</identifier><identifier>PMID: 37525333</identifier><language>eng</language><publisher>Germany: Wiley Subscription Services, Inc</publisher><subject>Archaea ; Bacteria ; Biomarkers ; Biopsy ; Digestive system ; Fatty liver ; Genotypes ; Intestinal microflora ; Liver ; Liver diseases ; Metabolism ; Metabolites ; Metabolomics ; Methanogenic archaea ; Microbiomes ; Microbiota ; Microorganisms ; Phages ; Protozoa ; Steatosis ; Transcriptomes ; Transcriptomics</subject><ispartof>Proteomics (Weinheim), 2023-09, Vol.23 (18), p.e2200414</ispartof><rights>2023 Wiley-VCH GmbH.</rights><rights>2023 Wiley‐VCH GmbH.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c323t-7fd902f9bec8a9f94fb1252f37ff59708ed2ee1a46d3c95c7cc5c1f889eeec033</citedby><cites>FETCH-LOGICAL-c323t-7fd902f9bec8a9f94fb1252f37ff59708ed2ee1a46d3c95c7cc5c1f889eeec033</cites><orcidid>0000-0003-4781-8005</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37525333$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mascardi, María Florencia</creatorcontrib><creatorcontrib>Mazzini, Flavia Noelia</creatorcontrib><creatorcontrib>Suárez, Bárbara</creatorcontrib><creatorcontrib>Ruda, Vera M</creatorcontrib><creatorcontrib>Marciano, Sebastián</creatorcontrib><creatorcontrib>Casciato, Paola</creatorcontrib><creatorcontrib>Narvaez, Adrián</creatorcontrib><creatorcontrib>Haddad, Leila</creatorcontrib><creatorcontrib>Anders, Margarita</creatorcontrib><creatorcontrib>Orozco, Federico</creatorcontrib><creatorcontrib>Tamaroff, Ana Jesica</creatorcontrib><creatorcontrib>Cook, Frank</creatorcontrib><creatorcontrib>Gounarides, John</creatorcontrib><creatorcontrib>Gutt, Susana</creatorcontrib><creatorcontrib>Gadano, Adrián</creatorcontrib><creatorcontrib>García, Celia Méndez</creatorcontrib><creatorcontrib>Marro, Martin L</creatorcontrib><creatorcontrib>Penas Steinhardt, Alberto</creatorcontrib><creatorcontrib>Trinks, Julieta</creatorcontrib><title>Integrated analysis of the transcriptome and its interaction with the metabolome in metabolic associated fatty liver disease: Gut microbiome signatures, correlation networks, and effect of PNPLA3 genotype</title><title>Proteomics (Weinheim)</title><addtitle>Proteomics</addtitle><description>Interactions between communities of the gut microbiome and with the host could affect the onset and progression of metabolic associated fatty liver disease (MAFLD), and can be useful as new diagnostic and prognostic biomarkers. 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A combination of clinical, metabolomic, and transcriptomic parameters showed the highest predictive capacity for MAFLD and SH (AUC = 0.96). In conclusion, faecal microbiome markers from several community members contribute to the switch in signatures characteristic of MAFLD and its progression towards SH.</description><subject>Archaea</subject><subject>Bacteria</subject><subject>Biomarkers</subject><subject>Biopsy</subject><subject>Digestive system</subject><subject>Fatty liver</subject><subject>Genotypes</subject><subject>Intestinal microflora</subject><subject>Liver</subject><subject>Liver diseases</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Methanogenic archaea</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Microorganisms</subject><subject>Phages</subject><subject>Protozoa</subject><subject>Steatosis</subject><subject>Transcriptomes</subject><subject>Transcriptomics</subject><issn>1615-9853</issn><issn>1615-9861</issn><issn>1615-9861</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpdkUtv1DAUhS0EakvpliWyxIYFM_gRxzG7qoJSadR2AevIca6nLokdbKfV_Ed-FM60nQUrv75z7vU9CL2nZE0JYV-m0Zk1I4wRUtHqFTqhNRUr1dT09WEv-DF6m9I9IVQ2Sh6hYy4FE5zzE_T3ymfYRp2hx9rrYZdcwsHifAc4R-2TiW7KYYTy2mOXE3ZFELXJLnj86PLdHh0h6y4MC-f8y8kZrFMKxu3drc55hwf3ABH3LoFO8BVfzhmXH8TQuUWb3NbrPEdIn7EJMcKg93U85McQf5fbpQuwFkxeury9vt2cc7wFH_JugnfojdVDgrPn9RT9-v7t58WP1ebm8urifLMynPG8krZXhFnVgWm0sqqyHWWCWS6tFUqSBnoGQHVV99woYaQxwlDbNAoADOH8FH168p1i-DNDyu3okoFh0B7CnFrWVFUtlaCioB__Q-_DHMugF6quuFS0qgu1fqLKJFKKYNspulHHXUtJu-TcLjm3h5yL4MOz7dyN0B_wl2D5Px3-qWA</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Mascardi, María Florencia</creator><creator>Mazzini, Flavia Noelia</creator><creator>Suárez, Bárbara</creator><creator>Ruda, Vera M</creator><creator>Marciano, Sebastián</creator><creator>Casciato, Paola</creator><creator>Narvaez, Adrián</creator><creator>Haddad, Leila</creator><creator>Anders, Margarita</creator><creator>Orozco, Federico</creator><creator>Tamaroff, Ana Jesica</creator><creator>Cook, Frank</creator><creator>Gounarides, John</creator><creator>Gutt, Susana</creator><creator>Gadano, Adrián</creator><creator>García, Celia Méndez</creator><creator>Marro, Martin L</creator><creator>Penas Steinhardt, Alberto</creator><creator>Trinks, Julieta</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4781-8005</orcidid></search><sort><creationdate>20230901</creationdate><title>Integrated analysis of the transcriptome and its interaction with the metabolome in metabolic associated fatty liver disease: Gut microbiome signatures, correlation networks, and effect of PNPLA3 genotype</title><author>Mascardi, María Florencia ; 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subjects | Archaea Bacteria Biomarkers Biopsy Digestive system Fatty liver Genotypes Intestinal microflora Liver Liver diseases Metabolism Metabolites Metabolomics Methanogenic archaea Microbiomes Microbiota Microorganisms Phages Protozoa Steatosis Transcriptomes Transcriptomics |
title | Integrated analysis of the transcriptome and its interaction with the metabolome in metabolic associated fatty liver disease: Gut microbiome signatures, correlation networks, and effect of PNPLA3 genotype |
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