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Annals of Hepatology
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Inicio Annals of Hepatology O-5 INTEGRATED ANALYSIS OF ARCHAEAL, FUNGAL AND PROTOZOAN GUT TRANSCRIPTOME IN M...
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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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O-5 INTEGRATED ANALYSIS OF ARCHAEAL, FUNGAL AND PROTOZOAN GUT TRANSCRIPTOME IN METABOLIC ASSOCIATED FATTY LIVER DISEASE (MAFLD) IN ARGENTINA
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Bárbara Suárez1,2, María Florencia Mascardi1,2, Flavia Noelia Mazzini1, M. Ruda Vera3,4, 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 Mén dez García4,9, Martin L. Marro10,11, Alberto Penas Steinhardt2,12, Julieta Trinks1,2
1 1 Institute of Translational Medicine and Biomedical Engineering (IMTIB) - Conicet University Institute of the Italian Hospital. Buenos Aires Italian Hospital. Buenos Aires, Argentina
2 National Council for Scientific and Technical Research (CONICET), 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. Buenos Aires, Argentina
6 Liver Unit of German Hospital, Buenos Aires, Argentina
7 Nutrition Department of Buenos Aires Italian Hospital. 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 de Luján, Basic Sciences Department. 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

Fungi, archaea and protozoa are the least known members of the gut microbiome, but they could represent a niche for biomarkers discovery to risk-stratify MAFLD patients. This study aimed to identify gut metatranscriptomic signatures in MAFLD patients from Argentina.

Materials and Methods

Stool samples, diet, demographic and clinical data were obtained from 33 biopsy-proven MAFLD patients (12 simple steatosis (SS) / 21 steatohepatitis (SH)) and 19 healthy volunteers (HV). PNPLA3 rs738409 SNP was genotyped. RNA-seq was performed in NovaSeq6000®. Data were analyzed with Maaslin2-v1.2.0, bioBakery-v1.8 and DESeq2-v4.1.

Results

BMI was higher among MAFLD patients than in HV (q=4.49 × 10−6). The risk GG genotype of PNPLA3-SNP was more prevalent among SH (q=0.0198). In MAFLD patients and in subjects with the GG genotype, differentially expressed genes (DEGs) of fungi, such as Fusarium proliferatum and Candida sorbophila, were up-regulated (q<0.01). After comparing transcript abundance, Saccharomucetaceae was the most active family among MAFLD patients, whereas Aspergillaceae family prevailed in HV. DEGs of methanogenic archaea and protozoa, such as Fonticula alba and Blastocystis spp., were highly expressed in MAFLD and SH after comparing them to HV and SS groups, respectively. The analysis of the functionally active protozoan families revealed that the Blastocystidae and Fonticulidae families were more functionally abundant in MAFLD and SH groups after comparing to HV and SS, respectively (Figure exhibits the statistically significant differences between groups). In subjects with the GG genotype, DEGs of Fonticula alba were up-regulated and those of Blastocystis spp. were less expressed after comparing to those with CC/CG genotypes. In SH, functional profiling of archaeal and fungal DEGs revealed an over-representation of viral capsid assembly and phage shock processes, whereas copper metabolism, peptidoglycan turnover and non-autophagic vacuolization were enriched by protozoan DEGs.

Conclusions

The switch in microbiome signatures characteristic of MAFLD onset and progression is achieved through the activity of several community members.

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Figure. Relative abundance of the most prevalent functionally active protozoan families. * FDR = 1.26 × 10-7 when compared to HV, ** FDR = 2.9 × 10-18 when compared to SS, and *** FDR = 7.1 × 10-6 when compared to SH.

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