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The influence of host genetics on liver microbiome composition in patients with NAFLD
Human body microbiotas are influenced by several factors, including the interaction of the host with the environment and dietary preferences. The role of host genetics in modulating the liver microbiota in the context of NAFLD remains unknown. To address this gap, we examined the interplay between t...
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Published in: | EBioMedicine 2022-02, Vol.76, p.103858-103858, Article 103858 |
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description | Human body microbiotas are influenced by several factors, including the interaction of the host with the environment and dietary preferences. The role of host genetics in modulating the liver microbiota in the context of NAFLD remains unknown. To address this gap, we examined the interplay between the liver metataxonomic profile and host genetics.
We obtained 16S rRNA gene sequences from liver biopsies and genotypes by Taqman-assays in 116 individuals. We compared taxon abundance at the genus level across host genotypes using dominant models of inheritance. We focused the analysis on variants influencing the risk/ protection against NAFLD-histological severity (PNPLA3-rs738409, TM6SF2-rs58542926, MBOAT7-rs641738, and HSD17B13-rs72613567) and a variant influencing macronutrient intake (FGF21-rs838133). We also explored the variants' combined effect via a polygenic risk score (PRS).
We identified at least 18 bacterial taxa associated with variants in the selected loci. Members of the Gammaproteobacteria class were significantly enriched in carriers of the rs738409 and rs58542926 risk-alleles, including Enterobacter (fold change [FC]=6.2) and Pseudoalteromonas (FC=2) genera, respectively. Lawsonella (1.6-FC), Prevotella_9 (FC=1.5), and Staphylococcus (FC=1.3) genera were enriched in rs838133-minor allele carriers, which is linked to sugar consumption and carbohydrate intake. Tyzzerella abundance (FC=2.64) exhibited the strongest association (p = 0.0019) with high PRS values (>4 risk alleles). The percentage of genus-level taxa variation explained by the PRS was ∼7.4%, independently of liver steatosis score and obesity.
We provided evidence that genetic variation may influence the liver microbial DNA composition. These observations may represent potentially actionable mechanisms of disease.
This study was partially supported by grants PICT 2018-889, PICT 2019-0528, PICT2016-0135 and PICT 2018-0620 (Agencia Nacional de Promoción Científica y Tecnológica, FONCyT), CONICET Proyectos Unidades Ejecutoras 2017, PUE 0055.
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doi_str_mv | 10.1016/j.ebiom.2022.103858 |
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We obtained 16S rRNA gene sequences from liver biopsies and genotypes by Taqman-assays in 116 individuals. We compared taxon abundance at the genus level across host genotypes using dominant models of inheritance. We focused the analysis on variants influencing the risk/ protection against NAFLD-histological severity (PNPLA3-rs738409, TM6SF2-rs58542926, MBOAT7-rs641738, and HSD17B13-rs72613567) and a variant influencing macronutrient intake (FGF21-rs838133). We also explored the variants' combined effect via a polygenic risk score (PRS).
We identified at least 18 bacterial taxa associated with variants in the selected loci. Members of the Gammaproteobacteria class were significantly enriched in carriers of the rs738409 and rs58542926 risk-alleles, including Enterobacter (fold change [FC]=6.2) and Pseudoalteromonas (FC=2) genera, respectively. Lawsonella (1.6-FC), Prevotella_9 (FC=1.5), and Staphylococcus (FC=1.3) genera were enriched in rs838133-minor allele carriers, which is linked to sugar consumption and carbohydrate intake. Tyzzerella abundance (FC=2.64) exhibited the strongest association (p = 0.0019) with high PRS values (>4 risk alleles). The percentage of genus-level taxa variation explained by the PRS was ∼7.4%, independently of liver steatosis score and obesity.
We provided evidence that genetic variation may influence the liver microbial DNA composition. These observations may represent potentially actionable mechanisms of disease.
This study was partially supported by grants PICT 2018-889, PICT 2019-0528, PICT2016-0135 and PICT 2018-0620 (Agencia Nacional de Promoción Científica y Tecnológica, FONCyT), CONICET Proyectos Unidades Ejecutoras 2017, PUE 0055.
[Display omitted]</description><identifier>ISSN: 2352-3964</identifier><identifier>EISSN: 2352-3964</identifier><identifier>DOI: 10.1016/j.ebiom.2022.103858</identifier><identifier>PMID: 35092912</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>FGF21 ; Genetic Predisposition to Disease ; Genetics ; Genotype ; HSD17B13 ; Humans ; Lipase - genetics ; Liver - pathology ; MBOAT7 ; Membrane Proteins - genetics ; Microbiota - genetics ; NASH ; Non-alcoholic Fatty Liver Disease - complications ; Non-alcoholic Fatty Liver Disease - genetics ; PNPLA3 ; Polymorphism, Single Nucleotide ; Risk score ; RNA, Ribosomal, 16S - genetics ; TM6SF2</subject><ispartof>EBioMedicine, 2022-02, Vol.76, p.103858-103858, Article 103858</ispartof><rights>2022 The Author(s)</rights><rights>Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.</rights><rights>2022 The Author(s) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c525t-623cc78f6da620bc0408168e818153ae91d72bf50cd5342a284e05e0d96692fb3</citedby><cites>FETCH-LOGICAL-c525t-623cc78f6da620bc0408168e818153ae91d72bf50cd5342a284e05e0d96692fb3</cites><orcidid>0000-0001-8234-4058 ; 0000-0001-5929-5470</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803595/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2352396422000421$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,3549,27924,27925,45780,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35092912$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pirola, Carlos Jose</creatorcontrib><creatorcontrib>Salatino, Adrian</creatorcontrib><creatorcontrib>Quintanilla, Maria Florencia</creatorcontrib><creatorcontrib>Castaño, Gustavo Osvaldo</creatorcontrib><creatorcontrib>Garaycoechea, Martin</creatorcontrib><creatorcontrib>Sookoian, Silvia</creatorcontrib><title>The influence of host genetics on liver microbiome composition in patients with NAFLD</title><title>EBioMedicine</title><addtitle>EBioMedicine</addtitle><description>Human body microbiotas are influenced by several factors, including the interaction of the host with the environment and dietary preferences. The role of host genetics in modulating the liver microbiota in the context of NAFLD remains unknown. To address this gap, we examined the interplay between the liver metataxonomic profile and host genetics.
We obtained 16S rRNA gene sequences from liver biopsies and genotypes by Taqman-assays in 116 individuals. We compared taxon abundance at the genus level across host genotypes using dominant models of inheritance. We focused the analysis on variants influencing the risk/ protection against NAFLD-histological severity (PNPLA3-rs738409, TM6SF2-rs58542926, MBOAT7-rs641738, and HSD17B13-rs72613567) and a variant influencing macronutrient intake (FGF21-rs838133). We also explored the variants' combined effect via a polygenic risk score (PRS).
We identified at least 18 bacterial taxa associated with variants in the selected loci. Members of the Gammaproteobacteria class were significantly enriched in carriers of the rs738409 and rs58542926 risk-alleles, including Enterobacter (fold change [FC]=6.2) and Pseudoalteromonas (FC=2) genera, respectively. Lawsonella (1.6-FC), Prevotella_9 (FC=1.5), and Staphylococcus (FC=1.3) genera were enriched in rs838133-minor allele carriers, which is linked to sugar consumption and carbohydrate intake. Tyzzerella abundance (FC=2.64) exhibited the strongest association (p = 0.0019) with high PRS values (>4 risk alleles). The percentage of genus-level taxa variation explained by the PRS was ∼7.4%, independently of liver steatosis score and obesity.
We provided evidence that genetic variation may influence the liver microbial DNA composition. These observations may represent potentially actionable mechanisms of disease.
This study was partially supported by grants PICT 2018-889, PICT 2019-0528, PICT2016-0135 and PICT 2018-0620 (Agencia Nacional de Promoción Científica y Tecnológica, FONCyT), CONICET Proyectos Unidades Ejecutoras 2017, PUE 0055.
[Display omitted]</description><subject>FGF21</subject><subject>Genetic Predisposition to Disease</subject><subject>Genetics</subject><subject>Genotype</subject><subject>HSD17B13</subject><subject>Humans</subject><subject>Lipase - genetics</subject><subject>Liver - pathology</subject><subject>MBOAT7</subject><subject>Membrane Proteins - genetics</subject><subject>Microbiota - genetics</subject><subject>NASH</subject><subject>Non-alcoholic Fatty Liver Disease - complications</subject><subject>Non-alcoholic Fatty Liver Disease - genetics</subject><subject>PNPLA3</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Risk score</subject><subject>RNA, Ribosomal, 16S - genetics</subject><subject>TM6SF2</subject><issn>2352-3964</issn><issn>2352-3964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9UU1PGzEQtapWBVF-AVLlYy8J_lhv7EMrISgUKSoXOFte72wy0e46tZ0g_n0dliK49GT7zZv3PPMIOeNszhmvzzdzaDAMc8GEKIjUSn8gx0IqMZOmrj6-uR-R05Q2jDGuqgLqz-RIKmaE4eKYPNyvgeLY9TsYPdDQ0XVIma5ghIw-0TDSHvcQ6YA-hoMlUB-GbUiYsRRxpFuXEcac6CPmNf19cb28-kI-da5PcPpynpCH65_3l79my7ub28uL5cwrofKsFtL7he7q1tWCNZ5VTPNag-aaK-nA8HYhmk4x3ypZCSd0BUwBa01dG9E18oTcTrptcBu7jTi4-GSDQ_sMhLiyLpY5erBeG1V1BpjWi6o8Gm2g-LsapALlTNH6MWltd80ArS8jRde_E31fGXFtV2FvtWZSGVUEvr0IxPBnBynbAZOHvncjhF2yotgVLleLQpUTtew0pQjdqw1n9pCv3djnfO0hXzvlW7q-vv3ha8-_NAvh-0SAsvM9QrTJ4yHXFiP4XJaC_zX4C-OztwY</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Pirola, Carlos Jose</creator><creator>Salatino, Adrian</creator><creator>Quintanilla, Maria Florencia</creator><creator>Castaño, Gustavo Osvaldo</creator><creator>Garaycoechea, Martin</creator><creator>Sookoian, Silvia</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8234-4058</orcidid><orcidid>https://orcid.org/0000-0001-5929-5470</orcidid></search><sort><creationdate>20220201</creationdate><title>The influence of host genetics on liver microbiome composition in patients with NAFLD</title><author>Pirola, Carlos Jose ; Salatino, Adrian ; Quintanilla, Maria Florencia ; Castaño, Gustavo Osvaldo ; Garaycoechea, Martin ; Sookoian, Silvia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c525t-623cc78f6da620bc0408168e818153ae91d72bf50cd5342a284e05e0d96692fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>FGF21</topic><topic>Genetic Predisposition to Disease</topic><topic>Genetics</topic><topic>Genotype</topic><topic>HSD17B13</topic><topic>Humans</topic><topic>Lipase - genetics</topic><topic>Liver - pathology</topic><topic>MBOAT7</topic><topic>Membrane Proteins - genetics</topic><topic>Microbiota - genetics</topic><topic>NASH</topic><topic>Non-alcoholic Fatty Liver Disease - complications</topic><topic>Non-alcoholic Fatty Liver Disease - genetics</topic><topic>PNPLA3</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Risk score</topic><topic>RNA, Ribosomal, 16S - genetics</topic><topic>TM6SF2</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pirola, Carlos Jose</creatorcontrib><creatorcontrib>Salatino, Adrian</creatorcontrib><creatorcontrib>Quintanilla, Maria Florencia</creatorcontrib><creatorcontrib>Castaño, Gustavo Osvaldo</creatorcontrib><creatorcontrib>Garaycoechea, Martin</creatorcontrib><creatorcontrib>Sookoian, Silvia</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>EBioMedicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pirola, Carlos Jose</au><au>Salatino, Adrian</au><au>Quintanilla, Maria Florencia</au><au>Castaño, Gustavo Osvaldo</au><au>Garaycoechea, Martin</au><au>Sookoian, Silvia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The influence of host genetics on liver microbiome composition in patients with NAFLD</atitle><jtitle>EBioMedicine</jtitle><addtitle>EBioMedicine</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>76</volume><spage>103858</spage><epage>103858</epage><pages>103858-103858</pages><artnum>103858</artnum><issn>2352-3964</issn><eissn>2352-3964</eissn><abstract>Human body microbiotas are influenced by several factors, including the interaction of the host with the environment and dietary preferences. The role of host genetics in modulating the liver microbiota in the context of NAFLD remains unknown. To address this gap, we examined the interplay between the liver metataxonomic profile and host genetics.
We obtained 16S rRNA gene sequences from liver biopsies and genotypes by Taqman-assays in 116 individuals. We compared taxon abundance at the genus level across host genotypes using dominant models of inheritance. We focused the analysis on variants influencing the risk/ protection against NAFLD-histological severity (PNPLA3-rs738409, TM6SF2-rs58542926, MBOAT7-rs641738, and HSD17B13-rs72613567) and a variant influencing macronutrient intake (FGF21-rs838133). We also explored the variants' combined effect via a polygenic risk score (PRS).
We identified at least 18 bacterial taxa associated with variants in the selected loci. Members of the Gammaproteobacteria class were significantly enriched in carriers of the rs738409 and rs58542926 risk-alleles, including Enterobacter (fold change [FC]=6.2) and Pseudoalteromonas (FC=2) genera, respectively. Lawsonella (1.6-FC), Prevotella_9 (FC=1.5), and Staphylococcus (FC=1.3) genera were enriched in rs838133-minor allele carriers, which is linked to sugar consumption and carbohydrate intake. Tyzzerella abundance (FC=2.64) exhibited the strongest association (p = 0.0019) with high PRS values (>4 risk alleles). The percentage of genus-level taxa variation explained by the PRS was ∼7.4%, independently of liver steatosis score and obesity.
We provided evidence that genetic variation may influence the liver microbial DNA composition. These observations may represent potentially actionable mechanisms of disease.
This study was partially supported by grants PICT 2018-889, PICT 2019-0528, PICT2016-0135 and PICT 2018-0620 (Agencia Nacional de Promoción Científica y Tecnológica, FONCyT), CONICET Proyectos Unidades Ejecutoras 2017, PUE 0055.
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subjects | FGF21 Genetic Predisposition to Disease Genetics Genotype HSD17B13 Humans Lipase - genetics Liver - pathology MBOAT7 Membrane Proteins - genetics Microbiota - genetics NASH Non-alcoholic Fatty Liver Disease - complications Non-alcoholic Fatty Liver Disease - genetics PNPLA3 Polymorphism, Single Nucleotide Risk score RNA, Ribosomal, 16S - genetics TM6SF2 |
title | The influence of host genetics on liver microbiome composition in patients with NAFLD |
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