Placental epigenetic gestational aging in relation to maternal sociodemographic factors and smoking among infants born extremely preterm: a descriptive study

References

• Crear-Perry J, Correa-de-Araujo R, Lewis Johnson T, et al. Social and structural determinants of health inequities in maternal health. J Women’s Health. 2021;30(2):230–235.
   Google Scholar
• Bangma JT, Kwiatkowski E, Psioda M, et al. Assessing positive child health among individuals born extremely preterm. J Pediatr. 2018;202:44–9 e4.
   Google Scholar
• Burris HH, Baccarelli AA, Wright RO, et al. Epigenetics: linking social and environmental exposures to preterm birth. Pediatr Res. 2016;79(1–2):136–140.
   Google Scholar
• Burris HH, Hacker MR. Birth outcome racial disparities: a result of intersecting social and environmental factors. Semin Perinatol. 2017;41(6):360–366.
   Google Scholar
• Burris HH, Wright CJ, Kirpalani H, et al. The promise and pitfalls of precision medicine to resolve black–white racial disparities in preterm birth. Pediatr Res. 2019;87(2):221–226.
   Google Scholar
• Horvath S. DNA methylation age of human tissues and cell types. Genome Biol. 2013;14(10):R115.
   Google Scholar
• Levine ME, Lu AT, Quach A, et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging (Albany NY). 2018;10(4):573–591.
   Google Scholar
• Palma-Gudiel H, Eixarch E, Crispi F, et al. Prenatal adverse environment is associated with epigenetic age deceleration at birth and hypomethylation at the hypoxia-responsive EP300 gene. Clin Epigenetics. 2019;11(1):73.
   Google Scholar
• McKenna BG, Hendrix CL, Brennan PA, et al. Maternal prenatal depression and epigenetic age deceleration: testing potentially confounding effects of prenatal stress and SSRI use. Epigenetics. 2021;16(3):327–337.
   Google Scholar
• Knight AK, Craig JM, Theda C, et al. An epigenetic clock for gestational age at birth based on blood methylation data. Genome Biol. 2016;17(1):206.
   Google Scholar
• Simpkin AJ, Howe LD, Tilling K, et al. The epigenetic clock and physical development during childhood and adolescence: longitudinal analysis from a UK birth cohort. Int J Epidemiol. 2017;46(2):549–558.
   Google Scholar
• Dhingra R, Nwanaji-Enwerem JC, Aiello A, et al. Epigenetics, aging and early life. Environ Epigenet Toxicol Public Health. 2020;22:239–263.
   Google Scholar
• Bussières E-L, Tarabulsy GM, Pearson J, et al. Maternal prenatal stress and infant birth weight and gestational age: a meta-analysis of prospective studies. Dev Rev. 2015;36:179–199.
   Google Scholar
• Zannas AS, Arloth J, Carrillo-Roa T, et al. Lifetime stress accelerates epigenetic aging in an urban, African American cohort: relevance of glucocorticoid signaling. Genome Biol. 2015;16(1):266.
   Google Scholar
• Jovanovic T, Vance LA, Cross D, et al. Exposure to violence accelerates epigenetic aging in children. Sci Rep. 2017;7(1):8962.
   Google Scholar
• Martin CL, Ghastine L, Lodge EK, et al. Understanding health inequalities through the lens of social epigenetics. Annu Rev Public Health. 2022;43(1):235–254.
   Google Scholar
• Lee Y, Choufani S, Weksberg R, et al. Placental epigenetic clocks: estimating gestational age using placental DNA methylation levels. Aging (Albany NY). 2019;11(12):4238–4253.
   Google Scholar
• Mayne BT, Leemaqz SY, Smith AK, et al. Accelerated placental aging in early onset preeclampsia pregnancies identified by DNA methylation. Epigenomics. 2017;9(3):279–289.
   Google Scholar
• Bohlin J, Haberg SE, Magnus P, et al. Prediction of gestational age based on genome-wide differentially methylated regions. Genome Biol. 2016;17(1):207.
   Google Scholar
• Dimasuay KG, Boeuf P, Powell TL, et al. Placental responses to changes in the maternal environment determine fetal growth. Front Physiol. 2016;7:12.
   Google Scholar
• Lunagómez LS, Santiago-Roque I, Gheno-Heredia YA, et al. Teratogenic effects of Bocconia frutescens L. J Dev Orig Health Dis 2020 1–9. DOI:10.1017/S2040174419000461
   Google Scholar
• Ward-Caviness CK, Pu S, Martin CL, et al. Epigenetic predictors of all-cause mortality are associated with objective measures of neighborhood disadvantage in an urban population. Clin Epigenetics. 2020;12(1):44.
   Google Scholar
• Simpkin AJ, Hemani G, Suderman M, et al. Prenatal and early life influences on epigenetic age in children: a study of mother–offspring pairs from two cohort studies. Hum Mol Genet. 2016;25(1):191–201.
   Google Scholar
• Dhingra R, Kwee LC, Diaz-Sanchez D, et al. Evaluating DNA methylation age on the illumina methylationepic bead chip. PLoS One. 2019;14(4):e0207834.
   Google Scholar
• Blumenshine P, Egerter S, Barclay CJ, et al. Socioeconomic disparities in adverse birth outcomes: a systematic review. Am J Prev Med. 2010;39(3):263–272.
   Google Scholar
• McElrath TF, Hecht JL, Dammann O, et al. Pregnancy disorders that lead to delivery before the 28th week of gestation: an epidemiologic approach to classification. Am J Epidemiol. 2008;168(9):980–989.
   Google Scholar
• Triche TJ Jr., Weisenberger DJ, Van Den Berg D, et al. Low-level processing of illumina infinium DNA methylation beadarrays. Nucleic Acids Res. 2013;41(7):e90.
   Google Scholar
• Fortin J-P, Triche TJ Jr., Hansen KD. Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi. Bioinformatics. 2017;33(4):558–560.
   Google Scholar
• Fortin J-P, Labbe A, Lemire M, et al. Functional normalization of 450k methylation array data improves replication in large cancer studies. Genome Biol. 2014;15(11):503.
   Google Scholar
• Leek JT, Johnson WE, Parker HS, et al. The sva package for removing batch effects and other unwanted variation in high-throughput experiments. Bioinformatics. 2012;28(6):882–883.
   Google Scholar
• Yuan V, Hui D, Yin Y, et al. Cell-specific characterization of the placental methylome. BMC Genomics. 2021;22(1):6.
   Google Scholar
• Santos HP Jr., Bhattacharya A, Martin EM, et al. Epigenome-wide DNA methylation in placentas from preterm infants: association with maternal socioeconomic status. Epigenetics. 2019;14(8):751–765.
   Google Scholar
• Apgar V. A Proposal for a New Method of Evaluation of the Newborn Infant. Anesthesia Analg. 1953;32(1):260–267.
   Google Scholar
• Perera F, Herbstman J. Prenatal environmental exposures, epigenetics, and disease. Reprod Toxicol. 2011;31(3):363–373.
   Google Scholar
• Loomans EM, van Dijk AE, Vrijkotte TG, et al. Psychosocial stress during pregnancy is related to adverse birth outcomes: results from a large multi-ethnic community-based birth cohort. Eur J Public Health. 2013;23(3):485–491.
   Google Scholar
• Monk C, Feng T, Lee S, et al. Distress during pregnancy: epigenetic regulation of placenta glucocorticoid-related genes and fetal neurobehavior. Am J Psychiatry. 2016;173(7):705–713.
   Google Scholar
• Ion R, Bernal AL. Smoking and preterm birth. Reprod Sci. 2015;22(8):918–926.
   Google Scholar
• Rogers JM. Smoking and pregnancy: epigenetics and developmental origins of the metabolic syndrome. Birth Defects Res. 2019;111(17):1259–1269.
   Google Scholar
• Burris HH, Wright CJ, Kirpalani H, et al. The promise and pitfalls of precision medicine to resolve black-white racial disparities in preterm birth. Pediatr Res. 2020;87(2):221–226.
   Google Scholar
• Knight AK, Smith AK, Conneely KN, et al. Relationship between epigenetic maturity and respiratory morbidity in preterm infants. J Pediatr. 2018;198:168–73 e2.
   Google Scholar
• Howe CJ, Robinson WR. Survival-related selection bias in studies of racial health disparities. Epidemiology. 2018;29(4):521–524.
   Google Scholar
• Catlin EA, Carpenter MW, BSt B, et al. The Apgar score revisited: influence of gestational age. J Pediatr. 1986;109(5):865–868.
   Google Scholar
• Dieckmann L, Lahti-Pulkkinen M, Kvist T, et al. Characteristics of epigenetic aging across gestational and perinatal tissues. Clin Epigenetics. 2021;13(1):97.
   Google Scholar
• Smith R, Nicholson RC. Corticotrophin releasing hormone and the timing of birth. Front Biosci. 2007;12:912–918.
   Google Scholar
• Jylhava J, Pedersen NL, Hagg S. Biological age predictors. EBioMedicine. 2017;21:29–36.
   Google Scholar
• Cherkas LF, Aviv A, Valdes AM, et al. The effects of social status on biological aging as measured by white-blood-cell telomere length. Aging Cell. 2006;5(5):361–365.
   Google Scholar
• Phillippe M, Phillippe SM. Birth and death: evidence for the same biologic clock. Am J Reprod Immunol. 2017;77(5):e12638.
   Google Scholar
• Phillippe M, and Cell-ree fetal DNA, telomeres, and the spontaneous onset of parturition. Reprod Sci. 2015;22(10):1186–1201.
   Google Scholar
• McLean M, Bisits A, Davies J, et al. A placental clock controlling the length of human pregnancy. Nat Med. 1995;1(5):460–463.
   Google Scholar
• Sandman CA, Glynn L, Schetter CD, et al. Elevated maternal cortisol early in pregnancy predicts third trimester levels of placental corticotropin releasing hormone (CRH): priming the placental clock. Peptides. 2006;27(6):1457–1463.
   Google Scholar
• Herman JP, McKlveen JM, Ghosal S, et al. Regulation of the Hypothalamic-Pituitary-Adrenocortical Stress Response. Compr Physiol. 2016;6(2):603–621.
   Google Scholar
• Kertes DA, Kamin HS, Hughes DA, et al. Prenatal maternal stress predicts methylation of genes regulating the hypothalamic-pituitary- adrenocortical system in mothers and newborns in the democratic Republic of Congo. Child Dev. 2016;87(1):61–72.
   Google Scholar
• Rothman KJ. No adjustments are needed for multiple comparisons. Epidemiology. 1990;1(1):43–46.
   Google Scholar
• Joseph RM, O’Shea TM, Allred EN, et al. Neurocognitive and academic outcomes at age 10 years of extremely preterm newborns. Pediatrics. 2016;137(4):e20154343.
   Google Scholar
• Fransquet PD, Wrigglesworth J, Woods RL, et al. The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis. Clin Epigenetics. 2019;11(1):62.
   Google Scholar