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Inicio Annals of Hepatology P- 9 BIOMARKERS OF THE BACTERIAL, VIRAL AND HUMAN GUT TRANSCRIPTOME IN METABOLIC...
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Vol. 28. Núm. S1.
Abstracts of the 2022 Annual Meeting of the ALEH
(marzo 2023)
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Vol. 28. Núm. S1.
Abstracts of the 2022 Annual Meeting of the ALEH
(marzo 2023)
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P- 9 BIOMARKERS OF THE BACTERIAL, VIRAL AND HUMAN GUT TRANSCRIPTOME IN METABOLIC ASSOCIATED FATTY LIVER DISEASE (MAFLD) IN ARGENTINA
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María Florencia Mascardi1,2, Flavia Noelia Mazzini1, Bárbara Suárez1,2, Vera M. Ruda3,4, Sebastián Marciano5, Paola Casciato2,5, Adrián Narvaez5, Leila Haddad5, Margarita Anders6, Federico Orozco6, Ana Jesica Tamaroff7, Frank Cook8, John Gounarides8, Susana Gutt7, Adrián Gadano5, Celia Méndez García4,9, Martín L. Marro10,11, Alberto Penas Steinhardt2,12, Julieta Trinks1,2
1 Institute of Translational Medicine and Biomedical Engineering (IMTIB) - Conicet - University Institute of the Italian Hospital (LUHI) - Italian Hospital of Buenos Aires (HIBA), Autonomous City of Buenos Aires, Argentina
2 National Scientific and Technical Research Council (Conicet), Autonomous City of Buenos Aires, Argentina
3 Biotherapeutic and Analytical Technologies, Novartis Institutes for Biomedical Research, Cambridge (NIBR), MA, United States of America
4 Chemical Biology & Therapeutics, NIBR, Cambridge, MA, United States of America
5 Liver Unit of Buenos Aires Italian Hospital, Autonomous City of Buenos Aires, Argentina
6 Liver Unit of Germany Hospital, Autonomous City of Buenos Aires, Argentina
7 Nutrition Department of Buenos Aires Italian Hospital, Autonomous City of Buenos Aires, Argentina
8 Analytical Sciences & Imaging Department, NIBR, Cambridge, MA, United States of America
9 Chemical Biology & Therapeutics, NIBR, Basel, Switzerland
10 Cardiovascular and Metabolic Disease Area, NIBR, Cambridge, MA, United States of America
11 Tectonic Therapeutic, Inc., Watertown, MA, United States of America
12 National University of Luján, Department of Basic Sciences, Computational Genomics Laboratory, Luján, Buenos Aires, Argentina
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Vol. 28. Núm S1

Abstracts of the 2022 Annual Meeting of the ALEH

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Introduction and Objectives

The functional dynamics of the gut microbiome and its interactions with the human transcriptome represent a niche for non-invasive biomarkers to risk-stratify MAFLD. This study aimed to identify gut transcriptomic signatures associated with MAFLD in Argentina.

Materials and Methods

Stool samples, diet, demographic and clinical data were obtained from 33 biopsy-proven MAFLD patients (12 simple steatosis -SS- and 21 steatohepatitis -SH-) and 19 healthy volunteers (HV). RNA-seq was performed in NovaSeq6000®. Data were analyzed with Maaslin2-v1.2.0, bioBakery-v1.8 and DESeq2-v4.1. Co-expression analysis was performed with Hmisc-v4.7-0.

Results

BMI was higher in MAFLD, particularly in SH patients (q=4.49 × 10−6). After adjusting for BMI, differentially expressed genes (DEGs) were found when comparing MAFLD vs. HV and SH vs. SS in bacterial (5 and 13, respectively), viral (112 and 26, respectively) and human (4 and 46, respectively), transcriptomes (q<0.01). Functional profiling of DEGs in MAFLD and SH patients revealed augmented bacterial sulfur and uric acid metabolisms, viral life cycle and viral regulation of the host immune system. Inflammatory regulation, lipid, iron and carbohydrate metabolisms, and response to oxidative stress were enhanced among human DEGs. After comparing transcript abundance, the most active bacterial families were Bactereoidaceae, Rikenellaceae, Oscillospiraceae and Prevotellaceae in all groups. Bifidobacteriaceae expression occurred mostly in HV, while Prevotellaceae prevailed in MAFLD patients. The Firmicutes/Bacteroidetes ratio was higher in MAFLD and SH. Myoviridae, Podoviridae, Siphoviridae and Microviridae were the most transcriptionally active viral families in all groups. Myoviridae and Microviridae showed up-regulated activity in MAFLD (FDR=0.006 for Microviridae) and SH groups (FDR=0.01 and 4.2 × 10−6, respectively), whereas Podoviridae and Siphoviridae were less active in these groups. Significant correlations were observed between the expression of Faecalibacterium phage Mushu, Prevotella copri and the human mucin gene (Figure).

Conclusions

We identified specific signatures of the interaction between microbial and human gut transcriptomes that could be useful as non-invasive biomarkers of MAFLD diagnosis and progression.

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