Stress is among the primary causes of mental health disorders, which are the most common reason for disability worldwide. The ubiquity of these disorders, and the costs associated with them, lends a sense of urgency to the efforts to improve prediction and prevention. Down-stream metabolic changes are highly feasible and accessible indicators of pathophysiological processes underlying mental health disorders. Here, we show that remote and cumulative ancestral stress programs central metabolic pathways linked to mental health disorders. The studies used a rat model consisting of a multigenerational stress lineage (the great-great-grandmother and each subsequent generation experienced stress during pregnancy) and a transgenerational stress lineage (only the great-great-grandmother was stressed during pregnancy). Urine samples were collected from adult male F4 offspring and analyzed using H NMR spectroscopy. The results of variable importance analysis based on random variable combination were used for unsupervised multivariate principal component analysis and hierarchical clustering analysis, as well as metabolite set enrichment analysis (MSEA) and pathway analysis. We identified distinct metabolic profiles associated with the multigenerational and transgenerational stress phenotype, with consistent upregulation of hippurate and downregulation of tyrosine, threonine, and histamine. MSEA and pathway analysis showed that these metabolites are involved in catecholamine biosynthesis, immune responses, and microbial host interactions. The identification of metabolic signatures linked to ancestral programming assists in the discovery of gene targets for future studies of epigenetic regulation in pathogenic processes. Ultimately, this research can lead to biomarker discovery for better prediction and prevention of mental health disorders.
Aromatic chemical carcinogens can undergo enzymatic transformations to produce a range of electrophilic species that attach covalently to the C8-site of 2'-deoxyguanosine (dG) to afford C8-dG adducts. The most studied C8-dG adducts are formed from arylamines and contain a N-linkage separating the dG from the C8-aryl moiety. Other carcinogenic species result in direct aryl ring attachment to the dG moiety, resulting in C-linked adducts. The resulting C-linked adducts have reduced conformational flexibility compared to the corresponding N-linked C8-dG adducts, which can alter their orientation in the DNA duplex. Described herein are structural studies of a fluorescent C-linked 4-fluorobiphenyl-dG (FBP-dG) that has been incorporated into the reiterated G-postion of the 12-mer NarI sequence and those containing other 5'-flanking nucleobases. FBP-dG displays a strong preference for adopting a syn conformation in the fully paired NarI duplex to produce an intercalated structure that exhibits stacking interactions between the C-linked biphenyl and the flanking bases. FBP-dG is also shown to significantly stabilize the slippage mutagenic intermediate (SMI) duplex containing the lesion and 5'-flanking base within a 2-base bulge. FBP-dG exhibits fluorescence sensitivity to SMI duplex formation that can readily distinguish it from the fully paired duplex. Molecular dynamics simulations and optical spectroscopy for the NarI oligonucleotides containing the C-linked FBP-dG predict increased rigidity of the biphenyl in the syn conformation. The greater propensity to generate the promutagenic syn conformation for the C-linked FBP-dG adduct compared to the N-linked 4-aminobiphenyl-dG adduct (ABP-dG) suggests greater mutagenicity for the C-linked analogue. These results highlight the effect of the adduct linkage type on the conformational properties of adducted DNA. The turn-on emission response of FBP-dG in the SMI duplex may be a powerful tool for monitoring SMI formation in the NarI sequence upon synthesis with DNA polymerases.
The impact of physiological stress on lipid metabolism, the metabolome, and systemic responses was examined in chickens. To incite a stress response, birds were continuously administered corticosterone (CORT) in their drinking water at three doses (0 mg/L, 10 mg/L, and 30 mg/L), and they were sampled 1, 5, and 12 days after commencement of CORT administration. Corticosterone administration to birds differentially regulated lipogenesis genes (i.e. FAS, ACC, ME, and SREBF1), and histopathological examination indicated lipid deposition in hepatocytes. In addition, CORT affected water-soluble metabolite profiles in the liver, as well as in kidney tissue and breast muscle; thirteen unique metabolites were distinguished in CORT-treated birds and this was consistent with the dysregulation of lipid metabolism due to physiological stress. Acute phase responses (APRs) were also altered by CORT, and in particular, expression of SAA1 was decreased and expression of CP was increased. Furthermore, CORT administration caused lymphoid depletion in the bursa of Fabricius and elevated IL6 and TGFβ2 mRNA expression after 5 and 12 days of CORT administration. Collectively, incitement of physiological stress via administration of CORT in chickens modulated host metabolism and systemic responses, which indicated that energy potentials are diverted from muscle anabolism during periods of stress.
Prenatal stress is known to epigenetically program offspring physiology and behaviour, and may become a risk factor for adult complex diseases. To gain insight into the underlying environment-gene interactions, we used proton nuclear magnetic resonance spectroscopy to analyze urinary metabolomes of male and female adolescents who were in utero during the 1998 Quebec Ice Storm. Metabolomic profiles in adolescent groups were found to be significantly different. Higher prenatal stress exposure generated alterations in metabolic pathways involved in energy metabolism and protein biosynthesis, such as branched-chain amino acid synthesis, alanine metabolism, and ketone body metabolism. Dysregulation of energy and protein metabolism suggests an increased risk of metabolic diseases like insulin resistance, diabetes, and obesity. These findings are consistent with prior observations of physiological phenotypes from this cohort. Understanding the impact of natural disasters on health risks will provide new and improved therapeutic strategies to mitigate stress-associated adverse health outcomes. Using metabolomic biomarkers may also assist in the prediction and prevention of these adverse outcomes.
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