The influence of host genetics on liver microbiome composition in patients with NAFLD

PIROLA, CARLOS JOSE; SALATINO, ADRIAN; QUINTANILLA, MARIA FLORENCIA; CASTAÑO, GUSTAVO OSVALDO; GARAYCOECHEA, MARTIN; SOOKOIAN, SILVIA

eBioMedicine

Elsevier B.V

Lugar: Amsterdam; Año: 2022 vol. 76 p. 103858 - 103871

2352-3964

Background: 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. Methods: 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). Findings: 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 PRSwas »7.4%, independently of liver steatosis score and obesity. Interpretation: We provided evidence that genetic variation may influence the liver microbial DNA composition. These observations may represent potentially actionable mechanisms of disease.NASH; Genetics; PNPLA3; TM6SF2; HSD17B13; Risk score; FGF21; MBOAT7