COMPARISON OF GUT MICROBIOTA IN ALCOHOLIC AND METABOLIC-DYSFUNCION ASSOCIATED STEATOTIC LIVER DISEASE IN ANIMAL MODELS

Author:

PERLIN Cássio Marques1ORCID,LONGO Larisse1ORCID,THOEN Rutiane Ullmann1ORCID,URIBE-CRUZ Carolina2ORCID,ÁLVARES-DA-SILVA Mário Reis3ORCID

Affiliation:

1. Universidade Federal do Rio Grande do Sul, Brasil; Hospital de Clínicas de Porto Alegre, Brasil

2. Universidade Federal do Rio Grande do Sul, Brasil; Hospital de Clínicas de Porto Alegre, Brasil; Universidade Católica de las Misiones, Argentina

3. Universidade Federal do Rio Grande do Sul, Brasil; Hospital de Clínicas de Porto Alegre, Brasil; Hospital de Clínicas de Porto Alegre, Brasil; Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil

Abstract

ABSTRACT Background: Alcoholic liver disease (ALD) and metabolic-dysfunction associated steatotic liver disease (MASLD) are common, and gut microbiota (GM) is involved with both. Here we compared GM composition in animal models of MASLD and ALD to assess whether there are specific patterns for each disease. Methods: MASLD model- adult male Sprague Dawley rats, randomized into two groups: MASLD-control (n=10) fed a standard diet; MASLD-group (n=10) fed a high-fat-choline-deficient diet for 16 weeks. ALD model- adult male Wistar rats randomized: ALD-control (n=8) fed a standard diet and water+0.05% saccharin, ALD groups fed with sunflower seed and 10% ethanol+0.05% saccharin for 4 or 8 weeks (ALC4, n=8; ALC8, n=8). ALC4/8 on the last day received alcoholic binge (5g/kg of ethanol). Afterwards, animals were euthanized, and feces were collected for GM analysis. Results: Both experimental models induced typical histopathological features of the diseases. Alpha diversity was lower in MASLD compared with ALD (p<0.001), and structural pattern was different between them (P<0.001). Bacteroidetes (55.7%), Firmicutes (40.6%), and Proteobacteria (1.4%) were the most prevalent phyla in all samples, although differentially abundant among groups. ALC8 had a greater abundance of the phyla Cyanobacteria (5.3%) and Verrucomicrobiota (3.2%) in relation to the others. Differential abundance analysis identified Lactobacillaceae_unclassified, Lachnospiraceae_NK4A136_group, and Turicibacter associated with ALC4 and the Clostridia_UCG_014_ge and Gastranaerophilales_ge genera to ALC8. Conclusion: In this study, we demonstrated that the structural pattern of the GM differs significantly between MASLD and ALD models. Studies are needed to characterize the microbiota and metabolome in both clinical conditions to find new therapeutic strategies.

Publisher

FapUNIFESP (SciELO)

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