Effects of Nutritional Perturbations on the Metabolomic Homeostasis of HepG2 Cells
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Abstract
Background: Normal body function is based on the metabolic processes going inside the body
which require energy (ATP) as fuel for the formation of metabolic intermediates to enrich other
metabolic pathways and perform cellular functions. This energy is provided by diet which includes
carbohydrates, fats, proteins, fiber, and minerals. The diet consumed is digested in the small
intestine and enters the liver via the portal vein. The liver plays a significant role in the metabolism
of gut-derived dietary components. Metabolism of these components will lead to the production of
metabolites conferring physiological roles. Consumption of these dietary elements in adequate
amounts maintains metabolic homeostasis. But excess intake for prolonged periods may cause
toxicity and affect the metabolic processes and metabolites composition in the human body. This
can lead to the development of metabolic syndrome (MetS) which may cause several metabolic
diseases. These metabolomic shifts may negatively affect the liver and its function as the liver is
the first line of detoxification for gut-derived metabolites. Scientists have shown the effects of
different dietary elements on liver function with gene expression studies but the metabolome call
remains critically underexplored. Metabolomic studies would help in understanding the interaction
between diet and biomolecules in the body and identifying disease-associated markers specific to
certain dietary stress.
Aim: The effects of high concentrations of each diet were evaluated using human hepatoma (liver
tumor) cells, (in this study, HepG2 cells), in which various chemicals were used to mimic the
dietary stress and untargeted metabolome analysis was done to understand the changes in
metabolites caused by various dietary stress.
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Method: HepG2 cells were cultured in standard conditions and used to mimic liver responses to
dietary stress. A sub-lethal dose for each treatment was selected using a standard MTT assay. Cells
were treated with five dietary stresses (high glucose, high palmitic acid, high salt (NaCl), high
bovine serum albumin (BSA), and high butyrate) and later metabolomics study was conducted.
GC-MS technique was used for untargeted metabolomic analysis and relevant metabolites were
obtained for each nutritional stress. Later, metabolites were mapped using PubChem, KEGG,
HMDB, and SMPDB databases. Metabolic pathway enrichment, disease signatures, and subclasses
for the metabolite set of each treatment were evaluated using Metaboanalyst (5.0) tool, and
corresponding results were recorded.
Result: Different metabolites were identified after GC-MS analysis. 54 metabolites were identified
in control, 137 after glucose treatment, 211 after palmitic acid treatment, 92 after NaCl treatment,
231 after BSA treatment, and 122 after butyrate treatment. Out of all metabolites, cholesterol, 2-
propyl-1-pentanol, palmitic acid, benzoic acid, acetamide, and leucine were common among all
treatments. Three disease signatures were common in all which are phenylketonuria,
phosphoenolpyruvate carboxykinase (PEPCK) deficiency, and type VI hers disease, and seven
classes of metabolites were also found to be common, which include straight chain fatty acids,
benzoic acids, carboximidic acids, amino acids, hydrocarbons, saturated fatty acids, and alkanes.
Conclusion: Palmitic acid showed more deleterious effects on HepG2 cells in comparison to all
other treatments and butyrate revealed a negative association with liver dysfunction.
