» Articles » PMID: 36156098

Transcriptional Regulation of Human Arylamine N-Acetyltransferase 2 Gene by Glucose and Insulin in Liver Cancer Cell Lines

Overview
Journal Toxicol Sci
Specialty Toxicology
Date 2022 Sep 26
PMID 36156098
Authors
Affiliations
Soon will be listed here.
Abstract

Arylamine N-acetyltransferase 2 (NAT2) is well-known for its role in phase II metabolism of xenobiotics and drugs. More recently, genome wide association studies and murine models implicated NAT2 in regulation of insulin sensitivity and plasma lipid levels. However, the mechanism remains unknown. Transcript levels of human NAT2 varied dynamically in HepG2 (hepatocellular) cells, depending on the nutrient status of the culture media. Culturing the cells in the presence of glucose induced NAT2 mRNA expression as well as its N-acetyltransferase activity significantly. In addition, insulin or acetate treatment also significantly induced NAT2 mRNA. We examined and compared the glucose- and acetate-dependent changes in NAT2 expression to those of genes involved in glucose and lipid metabolism, including FABP1, CPT1A, ACACA, SCD, CD36, FASN, ACLY, G6PC, and PCK1. Genes that are involved in fatty acid transport and lipogenesis, such as FABP1 and CD36, shared a similar pattern of expression with NAT2. In silico analysis of genes co-expressed with NAT2 revealed an enrichment of biological processes involved in lipid and cholesterol biosynthesis and transport. Among these, A1CF (APOBEC1 complementation factor) showed the highest correlation with NAT2 in terms of its expression in normal human tissues. The current study shows, for the first time, that human NAT2 is transcriptionally regulated by glucose and insulin in liver cancer cell lines and that the gene expression pattern of NAT2 is similar to that of genes involved in lipid metabolism and transport.

Citing Articles

Investigation on regulation of -acetyltransferase 2 expression by nuclear receptors in human hepatocytes.

Hong K, Aureliano A, Walls K, Hein D Front Pharmacol. 2024; 15:1488367.

PMID: 39624836 PMC: 11608957. DOI: 10.3389/fphar.2024.1488367.


Gut microbiota-derived short-chain fatty acids regulate gastrointestinal tumor immunity: a novel therapeutic strategy?.

Dong Y, Zhang K, Wei J, Ding Y, Wang X, Hou H Front Immunol. 2023; 14:1158200.

PMID: 37122756 PMC: 10140337. DOI: 10.3389/fimmu.2023.1158200.


Non-coding and intergenic genetic variants of human arylamine -acetyltransferase 2 (NAT2) gene are associated with differential plasma lipid and cholesterol levels and cardiometabolic disorders.

Hong K, Walls K, Hein D Front Pharmacol. 2023; 14:1091976.

PMID: 37077812 PMC: 10106703. DOI: 10.3389/fphar.2023.1091976.


Heterocyclic amines reduce insulin-induced AKT phosphorylation and induce gluconeogenic gene expression in human hepatocytes.

Walls K, Hong K, Hein D Arch Toxicol. 2023; 97(6):1613-1626.

PMID: 37005939 PMC: 10192068. DOI: 10.1007/s00204-023-03488-2.

References
1.
Barthel A, Schmoll D . Novel concepts in insulin regulation of hepatic gluconeogenesis. Am J Physiol Endocrinol Metab. 2003; 285(4):E685-92. DOI: 10.1152/ajpendo.00253.2003. View

2.
Knowles J, Xie W, Zhang Z, Chennamsetty I, Chennemsetty I, Assimes T . Identification and validation of N-acetyltransferase 2 as an insulin sensitivity gene. J Clin Invest. 2015; 125(4):1739-51. PMC: 4409020. DOI: 10.1172/JCI74692. View

3.
Obayashi T, Kagaya Y, Aoki Y, Tadaka S, Kinoshita K . COXPRESdb v7: a gene coexpression database for 11 animal species supported by 23 coexpression platforms for technical evaluation and evolutionary inference. Nucleic Acids Res. 2018; 47(D1):D55-D62. PMC: 6324053. DOI: 10.1093/nar/gky1155. View

4.
Moffett J, Puthillathu N, Vengilote R, Jaworski D, Namboodiri A . Acetate Revisited: A Key Biomolecule at the Nexus of Metabolism, Epigenetics and Oncogenesis-Part 1: Acetyl-CoA, Acetogenesis and Acyl-CoA Short-Chain Synthetases. Front Physiol. 2020; 11:580167. PMC: 7689297. DOI: 10.3389/fphys.2020.580167. View

5.
Pomaznoy M, Ha B, Peters B . GOnet: a tool for interactive Gene Ontology analysis. BMC Bioinformatics. 2018; 19(1):470. PMC: 6286514. DOI: 10.1186/s12859-018-2533-3. View