Abstract
Children born preterm are reported to be at increased risk of developing noncommunicable diseases in later life. Altered placental DNA methylation patterns are implicated in fetal programming of adult diseases. Our earlier animal studies focus on micronutrients (folic acid, vitamin B12) and long-chain polyunsaturated fatty acids (LCPUFAs) that interact in the I carbon cycle, thereby influencing methylation reactions. Our previous studies in women delivering preterm show altered plasma levels of micronutrients and lower plasma LCPUFA levels. We postulate that alterations in the micronutrient metabolism may affect the regulation of enzymes, methionine adenosyltransferase (MAT2A), and SAH-hydrolase (AHCY), involved in the production of methyl donor S-adenosylmethionine (SAM), thereby influencing the methylation potential (MP) in the placenta of women delivering preterm. The present study, therefore, examines the mRNA, protein levels of enzymes (MAT2A and AHCY), SAM, S-adenosylhomocysteine (SAH) levels, and global DNA methylation levels from preterm (n = 73) and term (n = 73) placentae. The enzyme messenger RNA (mRNA) levels were analyzed by real-time quantitative polymerase chain reaction, protein levels by enzyme-linked immunosorbent assay, and SAM-SAH levels by high-performance liquid chromatography. The mRNA levels for MAT2A and AHCY are higher (P < .05 for both) in the preterm group as compared to the term group. S-Adenosylmethionine and SAH levels were similar in both groups, although SAM:SAH ratio was lower (P < .05) in the preterm group as compared to the term group. The global DNA methylation levels were higher (P < .05) in women delivering small for gestation age infants as compared to women delivering appropriate for gestation age infants at term. Our data showing lower MP in the preterm placenta may have implications for the epigenetic programming of the developing fetus.
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Khot, V.V., Chavan-Gautam, P., Mehendale, S. et al. Variable Methylation Potential in Preterm Placenta: Implication for Epigenetic Programming of the Offspring. Reprod. Sci. 24, 891–901 (2017). https://doi.org/10.1177/1933719116671001
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DOI: https://doi.org/10.1177/1933719116671001