title: Intracellular S-adenosylhomocysteine concentrations predict global DNA hypomethylation in tissues of methyl-deficient cystathionine beta-synthase heterozygous mice.
abstract: Because S-adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH) are the substrate and product of essential methyltransferase reactions; the ratio of SAM:SAH is frequently used as an indicator of cellular methylation potential. However, it is not clear from the ratio whether substrate insufficiency, product inhibition or both are required to negatively affect cellular methylation capacity. A combined genetic and dietary approach was used to modulate intracellular concentrations of SAM and SAH. Wild-type (WT) or heterozygous cystathionine beta-synthase (CBS +/-) mice consumed a control or methyl-deficient diet for 24 wk. The independent and combined effect of genotype and diet on SAM, SAH and the SAM:SAH ratio were assessed in liver, kidney, brain and testes and were correlated with relative changes in tissue-specific global DNA methylation. The combined results from the different tissues indicated that a decrease in SAM alone was not sufficient to affect DNA methylation in this model, whereas an increase in SAH, either alone or associated with a decrease in SAM, was most consistently associated with DNA hypomethylation. A decrease in SAM:SAH ratio was predictive of reduced methylation capacity only when associated with an increase in SAH; a decrease in the SAM:SAH ratio due to SAM depletion alone was not sufficient to affect DNA methylation in this model. Plasma homocysteine levels were positively correlated with intracellular SAH levels in all tissues except kidney. These results support the possibility that plasma SAH concentrations may provide a sensitive biomarker for cellular methylation status.
authors.affiliation: Food, Nutrition and Consumer Sciences Department, California State Polytechnic University, Pomona, CA 91768, USA.
authors.forename: M A
authors.initials: MA
authors.lastname: Caudill
authors.forename: J C
authors.initials: JC
authors.lastname: Wang
authors.forename: S
authors.initials: S
authors.lastname: Melnyk
authors.forename: I P
authors.initials: IP
authors.lastname: Pogribny
authors.forename: S
authors.initials: S
authors.lastname: Jernigan
authors.forename: M D
authors.initials: MD
authors.lastname: Collins
authors.forename: J
authors.initials: J
authors.lastname: Santos-Guzman
authors.forename: M E
authors.initials: ME
authors.lastname: Swendseid
authors.forename: E A
authors.initials: EA
authors.lastname: Cogger
authors.forename: S J
authors.initials: SJ
authors.lastname: James
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D001835:Body Weight; D001921:Brain / Q000378:metabolism; D003541:Cystathionine beta-Synthase / Q000235:genetics / Q000378:metabolism*; D019175:DNA Methylation; D004032:Diet; D005838:Genotype; D006710:Homocysteine / Q000097:blood; D007668:Kidney / Q000378:metabolism; D008099:Liver / Q000378:metabolism; D051379:Mice; D012435:S-Adenosylhomocysteine / Q000378:metabolism*
chemical_list: D006710:Homocysteine; D012435:S-Adenosylhomocysteine; D003541:Cystathionine beta-Synthase