Objective: Heterocyclic amines (HCAs) are mutagens and carcinogens primarily generated when cooking meat at high temperatures or until well-done, and their major metabolic pathway includes hepatic N-hydroxylation via CYP1A2 followed by O-acetylation via N-acetyltransferase 2 (NAT2). NAT2 expresses a well-defined genetic polymorphism in humans resulting in rapid and slow acetylators. Recent epidemiological studies reported significant associations between dietary HCA exposure and insulin resistance and type II diabetes.
Methods: We assessed the effect of some of the most common HCAs found in cooked meat, 2-amino-3,4-dimethylimidazo[4,5-f]quinoline, 2-amino-3,8-dimethylimidazo[4,5-f]quinoxaline, and 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine, on insulin signaling and gluconeogenic gene expression in cryopreserved human hepatocytes characterized by their NAT2 genotype and phenotype to investigate the role of NAT2 genetic polymorphism in HCA-induced metabolic dysregulation.
Results: HCA treatment significantly reduced insulin-induced protein kinase B phosphorylation and significantly increased expression of genes involved in gluconeogenesis (G6PC, PCK1, FOXO1, and PPARA) in cryopreserved human hepatocytes from rapid but not from slow acetylators.
Conclusion: The findings suggest that NAT2 genetic polymorphism modifies HCA-induced insulin resistance and gluconeogenic gene expression, implying that individuals with rapid acetylator phenotype may be at greater risk of dysregulated glucose homeostasis following exposure to HCAs.
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http://dx.doi.org/10.1097/FPC.0000000000000559 | DOI Listing |
Sci Rep
January 2025
USDA, Agricultural Research Service, US National Poultry Research Center, 934 College Station Road, Athens, GA, 30605, USA.
Marek's disease (MD), a T cell lymphoma disease in chickens, is caused by the Marek's disease virus (MDV) found ubiquitously in the poultry industry. Genetically resistant Line 6 (L6) and susceptible Line 7 (L7) chickens have been instrumental to research on avian immune system response to MDV infection. In this study we characterized molecular signatures unique to splenic immune cell types across different genetic backgrounds 6 days after infection.
View Article and Find Full Text PDFGene
January 2025
Department of Botany, Mohanlal Sukhadia University, Udaipur 313001, Rajasthan, India. Electronic address:
Calligonum polygonoides, an endangered species of desert due to poor regeneration and overexploitation, which requires immediate conservation attention. Genetic diversity analysis is crucial for effective conservation and management initiatives, for elite genotypes. Therefore, in the present study, SCoT (start codon target) and ISSR (inter simple sequence repeat) markers were used to investigate the genetic variability in 120 individuals of Calligonum polygonoides.
View Article and Find Full Text PDFPharmacopsychiatry
January 2025
Max Planck Institute of Psychiatry, Munich, Germany.
A subgroup of patients with acute depression show an impaired regulation of the hypothalamic-pituitary-adrenocortical axis, which can be sensitively diagnosed with the combined dexamethasone (dex)/corticotropin releasing hormone (CRH)-test. This neuropathological alteration is assumed to be a result of hyperactive AVP/V1b signalling. Given the complicated procedure of the dex/CRH-test, this study aimed to develop a genetic variants-based alternative approach to predict the outcome of the dex/CRH-test in acute depression.
View Article and Find Full Text PDFOncology
January 2025
Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Introduction: With high incidence and mortality rates, lung cancer is now one of the most common cancers in the world. The 5-year survival rate of lung cancer patients is very low, and predicting the prognosis of lung cancer patients and using it to develop treatment strategies and interventions is important for prolonging the survival time of patients. Folate metabolism involves various aspects such as methylation of DNA, RNA, proteins, lipids, etc.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
This study aimed to investigate the genetic association between glioblastoma (GBM) and unsupervised deep learning-derived imaging phenotypes (UDIPs). We employed a combination of genome-wide association study (GWAS) data, single-nucleus RNA sequencing (snRNA-seq), and scPagwas (pathway-based polygenic regression framework) methods to explore the genetic links between UDIPs and GBM. Two-sample Mendelian randomization analyses were conducted to identify causal relationships between UDIPs and GBM.
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