nach oben

Maternal and Child Health Journal

Erschienen in:

26.02.2024 | Review Paper

Transgenerational Epigenetic Inheritance of Cardiovascular Diseases: A Network Medicine Perspective

verfasst von: Giuditta Benincasa, Claudio Napoli, Dawn L. DeMeo

Erschienen in: Maternal and Child Health Journal | Ausgabe 4/2024

Einloggen, um Zugang zu erhalten

Abstract

Introduction

The ability to identify early epigenetic signatures underlying the inheritance of cardiovascular risk, including trans- and intergenerational effects, may help to stratify people before cardiac symptoms occur.

Methods

Prospective and retrospective cohorts and case–control studies focusing on DNA methylation and maternal/paternal effects were searched in Pubmed from 1997 to 2023 by using the following keywords: DNA methylation, genomic imprinting, and network analysis in combination with transgenerational/intergenerational effects.

Results

Maternal and paternal exposures to traditional cardiovascular risk factors during critical temporal windows, including the preconceptional period or early pregnancy, may perturb the plasticity of the epigenome (mainly DNA methylation) of the developing fetus especially at imprinted loci, such as the insulin-like growth factor type 2 (IGF2) gene. Thus, the epigenome is akin to a “molecular archive” able to memorize parental environmental insults and predispose an individual to cardiovascular diseases onset in later life. Direct evidence for human transgenerational epigenetic inheritance (at least three generations) of cardiovascular risk is lacking but it is supported by epidemiological studies. Several blood-based association studies showed potential intergenerational epigenetic effects (single-generation studies) which may mediate the transmittance of cardiovascular risk from parents to offspring.

Discussion

In this narrative review, we discuss some relevant examples of trans- and intergenerational epigenetic associations with cardiovascular risk. In our perspective, we propose three network-oriented approaches which may help to clarify the unsolved issues regarding transgenerational epigenetic inheritance of cardiovascular risk and provide potential early biomarkers for primary prevention.

Nur mit Berechtigung zugänglich

Agha, G., Mendelson, M. M., Ward-Caviness, C. K., Joehanes, R., Huan, T., Gondalia, R., et al. (2019). Blood leukocyte DNA methylation predicts risk of future myocardial infarction and coronary heart disease. Circulation, 140, 645–657. https://doi.org/10.1161/CIRCULATIONAHA.118.039357CrossRefPubMedPubMedCentral

Antoun, E., Kitaba, N. T., Titcombe, P., Dalrymple, K. V., Garratt, E. S., Barton, S. J., et al. (2020). Maternal dysglycaemia, changes in the infant’s epigenome modified with a diet and physical activity intervention in pregnancy: Secondary analysis of a randomised control trial. PLoS Medicine, 17, e1003229. https://doi.org/10.1371/journal.pmed.1003229CrossRefPubMedPubMedCentral

Barker, D. J., Osmond, C., Forsen, T. J., Kajantie, E., & Eriksson, J. G. (2005). Trajectories of growth among children who have coronary events as adults. New England Journal of Medicine, 353, 1802–1809. https://doi.org/10.1056/NEJMoa044160CrossRefPubMed

Bauer, T., Trump, S., Ishaque, N., Thürmann, L., Gu, L., Bauer, M., et al. (2016). Environment-induced epigenetic reprogramming in genomic regulatory elements in smoking mothers and their children. Molecular Systems Biology, 12, 861. https://doi.org/10.15252/msb.20156520CrossRefPubMedPubMedCentral

Benincasa, G., Coscioni, E., & Napoli, C. (2022). Cardiovascular risk factors and molecular routes underlying endothelial dysfunction: Novel opportunities for primary prevention. Biochemical Pharmacology, 202, 115108. https://doi.org/10.1016/j.bcp.2022.115108CrossRefPubMed

Benincasa, G., Mansueto, G., & Napoli, C. (2019). Fluid-based assays and precision medicine of cardiovascular diseases: The ‘hope’ for Pandora’s box? Journal of Clinical Pathology, 72, 785–799. https://doi.org/10.1136/jclinpath-2019-206178CrossRefPubMed

Benincasa, G., Marfella, R., Della Mura, N., Schiano, C., & Napoli, C. (2020). Strengths and opportunities of network medicine in cardiovascular diseases. Circulation Journal, 84, 144–152. https://doi.org/10.1253/circj.CJ-19-0879CrossRefPubMed

Benincasa, G., Maron, B. A., Affinito, O., D’Alto, M., Franzese, M., Argiento, P., et al. (2023). Association between circulating CD4+ T cell methylation signatures of network-oriented SOCS3 gene and hemodynamics in patients suffering pulmonary arterial hypertension. Journal of Cardiovascular Translational Research, 16, 17–30. https://doi.org/10.1007/s12265-022-10294-1CrossRefPubMed

Cardenas, A., Gagné-Ouellet, V., Allard, C., Brisson, D., Perron, P., Bouchard, L., et al. (2018). Placental DNA methylation adaptation to maternal glycemic response in pregnancy. Diabetes, 67, 1673–1683. https://doi.org/10.2337/db18-0123CrossRefPubMed

Cedar, H., & Bergman, Y. (2009). Linking DNA methylation and histone modification: Patterns and paradigms. Nature Reviews Genetics, 10, 295–304. https://doi.org/10.1038/nrg2540CrossRefPubMed

Chatterton, Z., Hartley, B. J., Seok, M. H., Mendelev, N., Chen, S., Milekic, M., et al. (2017). In utero exposure to maternal smoking is associated with DNA methylation alterations and reduced neuronal content in the developing fetal brain. Epigenetics & Chromatin, 10, 4. https://doi.org/10.1186/s13072-017-0111-yCrossRef

Chen, L., Ge, B., Casale, F. P., Vasquez, L., Kwan, T., Garrido-Martín, D., et al. (2016). Genetic drivers of epigenetic and transcriptional variation in human immune cells. Cell, 167, 1398-1414.e24. https://doi.org/10.1016/j.cell.2016.10.026CrossRefPubMedPubMedCentral

Chhabra, D., Sharma, S., Kho, A. T., Gaedigk, R., Vyhlidal, C. A., Leeder, J. S., et al. (2014). Fetal lung and placental methylation is associated with in utero nicotine exposure. Epigenetics, 9, 1473–1484. https://doi.org/10.4161/15592294.2014.971593CrossRefPubMedPubMedCentral

Cuellar Partida, G., Laurin, C., Ring, S. M., Gaunt, T. R., McRae, A. F., Visscher, P. M., et al. (2018). Genome-wide survey of parent-of-origin effects on DNA methylation identifies candidate imprinted loci in humans. Human Molecular Genetics, 27, 2927–2939. https://doi.org/10.1093/hmg/ddy206CrossRefPubMedPubMedCentral

de Nigris, F., Cacciatore, F., Mancini, F. P., Vitale, D. F., Mansueto, G., D’Armiento, F. P., et al. (2018). Epigenetic hallmarks of fetal early atherosclerotic lesions in humans. JAMA Cardiol, 3, 1184–1191. https://doi.org/10.1001/jamacardio.2018.3546CrossRefPubMedPubMedCentral

Everson, T. M., Vives-Usano, M., Seyve, E., Cardenas, A., Lacasaña, M., Craig, J. M., et al. (2021). Placental DNA methylation signatures of maternal smoking during pregnancy and potential impacts on fetal growth. Nature Communications, 12, 5095. https://doi.org/10.1038/s41467-021-24558-yCrossRefPubMedPubMedCentral

Feil, R., & Fraga, M. F. (2012). Epigenetics and the environment: Emerging patterns and implications. Nature Reviews Genetics, 13, 97–109. https://doi.org/10.1038/nrg3142CrossRefPubMed

Feinberg, A. P. (2018). The key role of epigenetics in human disease prevention and mitigation. New England Journal of Medicine, 378, 1323–1334. https://doi.org/10.1056/NEJMra1402513CrossRefPubMed

Gaunt, T. R., Shihab, H. A., Hemani, G., Min, J. L., Woodward, G., Lyttleton, O., et al. (2016). Systematic identification of genetic influences on methylation across the human life course. Genome Biology, 17, 61. https://doi.org/10.1186/s13059-016-0926-zCrossRefPubMedPubMedCentral

Geurtsen, M. L., Jaddoe, V. W. V., Gaillard, R., & Felix, J. F. (2020). Associations of maternal early-pregnancy blood glucose and insulin concentrations with DNA methylation in newborns. Clinical Epigenetics, 12, 134. https://doi.org/10.1186/s13148-020-00924-3CrossRefPubMedPubMedCentral

Gonzalez-Rodriguez, P., Cantu, J., O’Neil, D., Seferovic, M. D., Goodspeed, D. M., Suter, M. A., et al. (2016). Alterations in expression of imprinted genes from the H19/IGF2 loci in a multigenerational model of intrauterine growth restriction (IUGR). American Journal of Obstetrics and Gynecology, 214, 625.e1-625.e11. https://doi.org/10.1016/j.ajog.2016.01.194CrossRefPubMed

Guay, S. P., Houde, A. A., Breton, E., Baillargeon, J. P., Perron, P., Gaudet, D., et al. (2020). DNA methylation at LRP1 gene locus mediates the association between maternal total cholesterol changes in pregnancy and cord blood leptin levels. Journal of Developmental Origins of Health and Disease, 11, 369–378. https://doi.org/10.1017/S204017441900076XCrossRefPubMed

Gui, W., Liang, J., Lin, X., Shi, N., Zhu, Y., Tan, B., & Li, H. (2021). Association of genetic variants in IGF2-related genes with risk of metabolic syndrome in the Chinese han population. Front Endocrinol (lausanne), 12, 654747. https://doi.org/10.3389/fendo.2021.654747CrossRefPubMed

Hannon, E., Weedon, M., Bray, N., O’Donovan, M., & Mill, J. (2017). Pleiotropic effects of trait-associated genetic variation on dna methylation: Utility for refining GWAS loci. American Journal of Human Genetics, 100, 954–959. https://doi.org/10.1016/j.ajhg.2017.04.013CrossRefPubMedPubMedCentral

Heard, E., & Martienssen, R. A. (2014). Transgenerational epigenetic inheritance: Myths and mechanisms. Cell, 157, 95–109. https://doi.org/10.1016/j.cell.2014.02.045CrossRefPubMedPubMedCentral

Hedman, Å. K., Mendelson, M. M., Marioni, R. E., Gustafsson, S., Joehanes, R., Irvin, M. R., et al. (2017). Epigenetic patterns in blood associated with lipid traits predict incident coronary heart disease events and are enriched for results from genome-wide association studies. Circulation. Cardiovascular Genetics, 10, e001487. https://doi.org/10.1161/CIRCGENETICS.116.001487CrossRefPubMedPubMedCentral

Heijmans, B. T., Tobi, E. W., Stein, A. D., Putter, H., Blauw, G. J., Susser, E. S., et al. (2008). Persistent epigenetic differences associated with prenatal exposure to famine in humans. Proc Natl Acad Sci U S A, 105, 17046–17049. https://doi.org/10.1073/pnas.0806560105CrossRefPubMedPubMedCentral

Horsthemke, B. (2018). A critical view on transgenerational epigenetic inheritance in humans. Nature Communications, 9, 2973. https://doi.org/10.1038/s41467-018-05445-5CrossRefPubMedPubMedCentral

Howe, C. G., Cox, B., Fore, R., Jungius, J., Kvist, T., Lent, S., et al. (2020). Maternal gestational diabetes mellitus and newborn DNA methylation: Findings from the Pregnancy and Childhood Epigenetics Consortium. Diabetes Care, 43, 98–105. https://doi.org/10.2337/dc19-0524CrossRefPubMed

Huan, T., Joehanes, R., Song, C., Peng, F., Guo, Y., Mendelson, M., et al. (2019). Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease. Nature Communications, 10, 4267. https://doi.org/10.1038/s41467-019-12228-zCrossRefPubMedPubMedCentral

Huang, R. C., Galati, J. C., Burrows, S., Beilin, L. J., Li, X., Pennell, C. E., et al. (2012). DNA methylation of the IGF2/H19 imprinting control region and adiposity distribution in young adults. Clinical Epigenetics, 4, 21. https://doi.org/10.1186/1868-7083-4-21CrossRefPubMedPubMedCentral

Jahan, N., Naveed, S., Zeshan, M., & Tahir, M. A. (2016). How to conduct a systematic review: A narrative literature review. Cureus, 8, e864. https://doi.org/10.7759/cureus.864CrossRefPubMedPubMedCentral

Jones, P. A. (2012). Functions of DNA methylation: Islands, start sites, gene bodies and beyond. Nature Reviews Genetics, 13, 484–492. https://doi.org/10.1038/nrg3230. PMID: 22641018.CrossRefPubMed

Joubert, B. R., Felix, J. F., Yousefi, P., Bakulski, K. M., Just, A. C., Breton, C., et al. (2016). DNA methylation in newborns and maternal smoking in pregnancy: Genome-wide Consortium Meta-analysis. American Journal of Human Genetics, 98, 680–696. https://doi.org/10.1016/j.ajhg.2016.02.019CrossRefPubMedPubMedCentral

Kachroo, P., Morrow, J. D., Kho, A. T., Vyhlidal, C. A., Silverman, E. K., Weiss, S. T., et al. (2020). Co-methylation analysis in lung tissue identifies pathways for fetal origins of COPD. European Respiratory Journal, 56, 1902347. https://doi.org/10.1183/13993003.02347-2019CrossRefPubMed

Kato, N., Loh, M., Takeuchi, F., Verweij, N., Wang, X., Zhang, W., et al. (2015). Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation. Nature Genetics, 47, 1282–1293. https://doi.org/10.1038/ng.3405CrossRefPubMedPubMedCentral

Kazmi, N., Sharp, G. C., Reese, S. E., Vehmeijer, F. O., Lahti, J., Page, C. M., et al. (2019). Hypertensive disorders of pregnancy and DNA methylation in newborns. Hypertension, 74, 375–383. https://doi.org/10.1161/HYPERTENSIONAHA.119.12634CrossRefPubMed

Kim, S. S., Dai, C., Hormozdiari, F., van de Geijn, B., Gazal, S., Park, Y., O’Connor, L., et al. (2019). Genes with high network connectivity are enriched for disease heritability. American Journal of Human Genetics, 104, 896–913. https://doi.org/10.1016/j.ajhg.2019.03.020CrossRefPubMedPubMedCentral

Kuijjer, M. L., Hsieh, P. H., Quackenbush, J., & Glass, K. (2019). LionessR: Single sample network inference in R. BMC Cancer, 19, 1003. https://doi.org/10.1186/s12885-019-6235-7CrossRefPubMedPubMedCentral

Napoli, C., Benincasa, G., Donatelli, F., & Ambrosio, G. (2020a). Precision medicine in distinct heart failure phenotypes: Focus on clinical epigenetics. American Heart Journal, 224, 113–128. https://doi.org/10.1016/j.ahj.2020.03.007CrossRefPubMed

Napoli, C., Benincasa, G., Schiano, C., & Salvatore, M. (2020b). Differential epigenetic factors in the prediction of cardiovascular risk in diabetic patients. Eur Heart J Cardiovasc Pharmacother, 6, 239–247. https://doi.org/10.1093/ehjcvp/pvz062CrossRefPubMed

Napoli, C., Crudele, V., Soricelli, A., Al-Omran, M., Vitale, N., Infante, T., Mancini, F. P., et al. (2012). Primary prevention of atherosclerosis: A clinical challenge for the reversal of epigenetic mechanisms? Circulation, 125, 2363–2373. https://doi.org/10.1161/CIRCULATIONAHA.111.085787CrossRefPubMed

Napoli, C., D’Armiento, F. P., Mancini, F. P., Postiglione, A., Witztum, J. L., Palumbo, G., et al. (1997). Fatty streak formation occurs in human fetal aortas and is greatly enhanced by maternal hypercholesterolemia. Intimal accumulation of low density lipoprotein and its oxidation precede monocyte recruitment into early atherosclerotic lesions. The Journal of Clinical Investigation, 100, 2680–2690. https://doi.org/10.1172/JCI119813CrossRefPubMedPubMedCentral

Napoli, C., Glass, C. K., Witztum, J. L., Deutsch, R., D’Armiento, F. P., & Palinski, W. (1999). Influence of maternal hypercholesterolaemia during pregnancy on progression of early atherosclerotic lesions in childhood: Fate of Early Lesions in Children (FELIC) study. Lancet, 354, 1234–1241. https://doi.org/10.1016/S0140-6736(99)02131-5CrossRefPubMed

Napoli, C., Lerman, L. O., de Nigris, F., Gossl, M., Balestrieri, M. L., & Lerman, A. (2006). Rethinking primary prevention of atherosclerosis-related diseases. Circulation, 114, 2517–2527. https://doi.org/10.1161/CIRCULATIONAHA.105.570358CrossRefPubMed

Nordin, M., Bergman, D., Halje, M., Engström, W., & Ward, A. (2014). Epigenetic regulation of the Igf2/H19 gene cluster. Cell Proliferation, 47, 189–199. https://doi.org/10.1111/cpr.12106CrossRefPubMedPubMedCentral

Olsson, A. H., Volkov, P., Bacos, K., Dayeh, T., Hall, E., Nilsson, E. A., et al. (2014). Genome-wide associations between genetic and epigenetic variation influence mRNA expression and insulin secretion in human pancreatic islets. PLoS Genetics, 10, e1004735. https://doi.org/10.1371/journal.pgen.1004735CrossRefPubMedPubMedCentral

Ouidir, M., Zeng, X., Workalemahu, T., Shrestha, D., Grantz, K. L., Mendola, P., et al. (2020). Early pregnancy dyslipidemia is associated with placental DNA methylation at loci relevant for cardiometabolic diseases. Epigenomics, 2020, 921–934. https://doi.org/10.2217/epi-2019-0293CrossRef

Perkins, E., Murphy, S. K., Murtha, A. P., Schildkraut, J., Jirtle, R. L., Demark-Wahnefried, W., et al. (2012). Insulin-like growth factor 2/H19 methylation at birth and risk of overweight and obesity in children. Journal of Pediatrics, 161, 31–39. https://doi.org/10.1016/j.jpeds.2012.01.015CrossRefPubMed

Putra, S. E. D., Reichetzeder, C., von Websky, K., Neuber, C., Halle, H., Kleuser, B., et al. (2022). Association between placental global DNA methylation and blood pressure during human pregnancy. Journal of Hypertension, 40, 1002–1009. https://doi.org/10.1097/HJH.0000000000003103CrossRefPubMed

Rauschert, S., Melton, P. E., Burdge, G., Craig, J. M., Godfrey, K. M., Holbrook, J. D., et al. (2019). Maternal smoking during pregnancy induces persistent epigenetic changes into adolescence, independent of postnatal smoke exposure and is associated with cardiometabolic risk. Frontiers in Genetics, 10, 770. https://doi.org/10.3389/fgene.2019.00770CrossRefPubMedPubMedCentral

Reed, Z. E., Suderman, M. J., Relton, C. L., Davis, O. S. P., & Hemani, G. (2020). The association of DNA methylation with body mass index: Distinguishing between predictors and biomarkers. Clinical Epigenetics, 12, 50. https://doi.org/10.1186/s13148-020-00841-5CrossRefPubMedPubMedCentral

Richmond, R. C., Simpkin, A. J., Woodward, G., Gaunt, T. R., Lyttleton, O., McArdle, W. L., et al. (2015). Prenatal exposure to maternal smoking and offspring DNA methylation across the life course: Findings from the Avon Longitudinal Study of Parents and Children (ALSPAC). Human Molecular Genetics, 24, 2201–2217. https://doi.org/10.1093/hmg/ddu739CrossRefPubMed

Röhl, A., Baek, S. H., Kachroo, P., Morrow, J. D., Tantisira, K., Silverman, E. K., et al. (2022). Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease. Respiratory Research, 23, 69. https://doi.org/10.1186/s12931-022-01963-5CrossRefPubMedPubMedCentral

Sarno, F., Benincasa, G., List, M., Barabasi, A. L., Baumbach, J., Ciardiello, F., et al. (2021). Clinical epigenetics settings for cancer and cardiovascular diseases: Real-life applications of network medicine at the bedside. Clinical Epigenetics, 13, 66. https://doi.org/10.1186/s13148-021-01047-zCrossRefPubMedPubMedCentral

Schiano, C., D’Armiento, M., Franzese, M., Castaldo, R., Saccone, G., de Nigris, F., et al. (2022). DNA methylation profile of the SREBF2 gene in human fetal aortas. Journal of Vascular Research, 59, 61–68. https://doi.org/10.1159/000518513CrossRefPubMed

Sharp, G. C., Alfano, R., Ghantous, A., Urquiza, J., Rifas-Shiman, S. L., Page, C. M., et al. (2021). Paternal body mass index and offspring DNA methylation: Findings from the PACE consortium. International Journal of Epidemiology, 50, 1297–1315. https://doi.org/10.1093/ije/dyaa267CrossRefPubMedPubMedCentral

Silverman, E. K., Schmidt, H. H. H. W., Anastasiadou, E., Altucci, L., Angelini, M., Badimon, L., et al. (2020). Molecular networks in network medicine: Development and applications. Wiley Interdiscip Rev Syst Biol Med, 12, e1489. https://doi.org/10.1002/wsbm.1489CrossRefPubMedPubMedCentral

Soubry, A., Murphy, S. K., Wang, F., Huang, Z., Vidal, A. C., Fuemmeler, B. F., et al. (2015). Newborns of obese parents have altered DNA methylation patterns at imprinted genes. International Journal of Obesity, 39, 650–657. https://doi.org/10.1038/ijo.2013.193CrossRefPubMed

Soubry, A., Schildkraut, J. M., Murtha, A., Wang, F., Huang, Z., Bernal, A., et al. (2013). Paternal obesity is associated with IGF2 hypomethylation in newborns: Results from a Newborn Epigenetics Study (NEST) cohort. BMC Medicine, 11, 29. https://doi.org/10.1186/1741-7015-11-29CrossRefPubMedPubMedCentral

Teschendorff, A. E., Zhu, T., Breeze, C. E., & Beck, S. (2020). EPISCORE: Cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data. Genome Biology, 21, 221. https://doi.org/10.1186/s13059-020-02126-9CrossRefPubMedPubMedCentral

Tobi, E. W., Goeman, J. J., Monajemi, R., Gu, H., Putter, H., Zhang, Y., et al. (2015). DNA methylation signatures link prenatal famine exposure to growth and metabolism. Nature Communications, 6, 7740. https://doi.org/10.1038/ncomms8740CrossRefPubMedPubMedCentral

Tucci, V., Isles, A. R., Kelsey, G., & Ferguson-Smith, A. C. (2019). Genomic imprinting and physiological processes in mammals. Cell, 176, 952–965. https://doi.org/10.1016/j.cell.2019.01.043CrossRefPubMed

van Otterdijk, S. D., & Michels, K. B. (2016). Transgenerational epigenetic inheritance in mammals: How good is the evidence? The FASEB Journal, 30, 2457–2465. https://doi.org/10.1096/fj.201500083CrossRefPubMed

Vives-Usano, M., Hernandez-Ferrer, C., Maitre, L., Ruiz-Arenas, C., Andrusaityte, S., Borràs, E., et al. (2020). In utero and childhood exposure to tobacco smoke and multi-layer molecular signatures in children. BMC Medicine, 18, 243. https://doi.org/10.1186/s12916-020-01686-8CrossRefPubMedPubMedCentral

Volkov, P., Olsson, A. H., Gillberg, L., Jørgensen, S. W., Brøns, C., Eriksson, K. F., et al. (2016). A genome-wide mQTL analysis in human adipose tissue identifies genetic variants associated with DNA methylation, gene expression and metabolic traits. PLoS ONE, 11, e0157776. https://doi.org/10.1371/journal.pone.0157776CrossRefPubMedPubMedCentral

Wu, L., Li, N., & Liu, Y. (2023). Association between maternal factors and risk of congenital heart disease in offspring: A systematic review and meta-analysis. Maternal and Child Health Journal, 27, 29–48. https://doi.org/10.1007/s10995-022-03538-8CrossRefPubMed

Xu, R., Hong, X., Zhang, B., Huang, W., Hou, W., Wang, G., et al. (2021). DNA methylation mediates the effect of maternal smoking on offspring birthweight: A birth cohort study of multi-ethnic US mother-newborn pairs. Clinical Epigenetics, 13, 47. https://doi.org/10.1186/s13148-021-01032-6CrossRefPubMedPubMedCentral

Zhu, T., Liu, J., Beck, S., Pan, S., Capper, D., Lechner, M., et al. (2022). A pan-tissue DNA methylation atlas enables in silico decomposition of human tissue methylomes at cell-type resolution. Nature Methods, 19, 296–306. https://doi.org/10.1038/s41592-022-01412-7CrossRefPubMedPubMedCentral

Titel: Transgenerational Epigenetic Inheritance of Cardiovascular Diseases: A Network Medicine Perspective
verfasst von: Giuditta Benincasa
Claudio Napoli
Dawn L. DeMeo
Publikationsdatum: 26.02.2024
Verlag: Springer US
Erschienen in: Maternal and Child Health Journal / Ausgabe 4/2024
Print ISSN: 1092-7875
Elektronische ISSN: 1573-6628
DOI: https://doi.org/10.1007/s10995-023-03886-z

Springer Medizin

Abstract

Introduction

Methods

Results

Discussion

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 4/2024

Knowledge, Attitude, and Practices Towards COVID-19 Among Pregnant and Postpartum Women in Rural Bangladesh: A Cross-Sectional Study

Factors Associated with Suspected Developmental Delay in Thai Children Born with Low Birth Weight or Asphyxia

Relationships Between Mental Health, Negative Feelings of COVID-19, and Parenting Among Pregnant Women in Fortaleza, Brazil

Correction: Philadelphia Department of Health Doula Support Program: Early Successes and Challenges of a Program Serving Birthing People Affected by Substance Use Disorder

Deliveries in Lebanon, the Country with the Highest Refugee Density in the World: A Descriptive Review

Maternal and Perinatal Health Disparities Among Middle Eastern and North African Women and Children in the United States