Metagenomic Phenotyping of Chemical-Induced Metabolic Disease Models
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Thapar Institute of Engineering and Technology
Abstract
Background: The global burden of chronic metabolic disease is on the rise, and is
attributed to our lifestyle-related choices (e.g., high-calorie diet). Gut microbial dysbiosis that
includes altered microbial abundance, metabolic functions and decreased diversity has been
attributed to the intestinal-level trigger for non-communicable metabolic disease. Chemically
induced in vivo animal models were considered as the gold standard for studying the
mechanistic aspects of disease pathogenesis. For this purpose, several chemical-induced animal
models have been well established to study metabolic diseases. In line, streptozotocin (STZ)
induced diabetes models, acetaminophen (APAP) induced hepatic injury models and dextran
sulfate sodium (DSS) induced colitis models were well established. These chemical models
were orally gavaged to induce tissue-specific injury, thereby triggering metabolic
complications. Despite the well-established role of gut microbiota in triggering metabolic
diseases, it remains inconclusive whether beyond direct tissue damage these chemical models
also negatively impacts the gut microbiota. Therefore, we hypothesized that the metabolic
disease-causing role of these chemicals are in part attributed to the negative impact on the gut
microbiota.
Methodology: We examined the microbiota-modulating effects of STZ, APAP and DSS
using an in vitro pseudo-colonic model (AMMR). For this purpose, we anaerobically cultured
gut microbes using a proprietary in vitro pseudo-colon model for 24h and growth was
monitored periodically. The gut microbial inoculum was collected from individuals without
metabolic diseases. After incubation, the samples were removed, DNA extracted and subjected
to 16s rRNA sequencing of the V3-V4 hypervariable regions. The sequenced data was analysed
using the QIIME2 pipeline and metagenomic annotations were done based on SILVA database.
PICRUSt was used for microbial functional data analysis.
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Results: The data showed distinct shifts in gut microbial abundance due to the treatments
relative to untreated control. The Firmicutes-to-Bacteroidetes ratio was increased in all groups
in comparison to control. A high abundance of Proteobacteria was observed in STZ group,
which was consistent with clinical data showing increased Proteobacteria in diabetic patients.
An increase in Actinobacteria and Roseburia, and a decrease in Akkermansia in APAP group
was clinically associated with hepatic injury. An increase in Bifidobacterium,
Faecalibacterium, and a decrease in Dubosiella in DSS group. The taurine & hypotaurine
metabolism, fatty acid degradation, D-alanine metabolism, sphingolipid metabolism, and
thiamine metabolism microbial functions were significantly induced upon treatment of STZ in
comparison to control. The upregulation of fatty acid biosynthesis, butanoate metabolism,
glutamine and glutamate metabolism, along with a decrease in krebs cycle, lipoic acid synthesis
in APAP group. The functional activity of fatty acid degradation and biosynthesis, arginine and
proline metabolism, bacterial chemotaxis, and ketone bodies were enhanced in DSS group
compared to control.
Conclusion: The data from these sets of experiments performed in a strictly anaerobic
pseudo-colon system suggest that STZ, APAP and DSS induce dramatic shifts in the gut
microbial population and their metabolic functions. Therefore, the metabolic disease-causing
potentials of these experimental models were also associated with triggering gut microbial
dysbiosis.
Keywords: Streptozotocin, Acetaminophen, Dextran sulfate sodium, Diabetes, Drug induced liver injury, Ulcerative colitis, AMMR, Gut microbiome, Metabolome
Description
M.Sc. Thesis (Biotechnology)
