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Research Article

Associations between an Integrated Component of Maternal Glycemic Regulation in Pregnancy and Cord Blood DNA Methylation

ORCID Icon, ORCID Icon, , ORCID Icon, ORCID Icon & ORCID Icon
Pages 1459-1472 | Received 21 Jun 2021, Accepted 10 Sep 2021, Published online: 01 Oct 2021

References

  • Ryan EA , SavuA , YeungRO , MooreLE , BowkerSL , KaulP. Elevated fasting vs post-load glucose levels and pregnancy outcomes in gestational diabetes: a population-based study. Diabet. Med.37(1), 114–122 (2020).
  • Metzger BE , LoweLP , DyerARet al. Hyperglycemia and adverse pregnancy outcomes. N. Engl. J. Med.358(19), 1991–2002 (2008).
  • HAPO Study Cooperative Research Group . Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study: associations with neonatal anthropometrics. Diabetes58(2), 453–459 (2009).
  • Lowe WL Jr , LoweLP , KuangAet al. Maternal glucose levels during pregnancy and childhood adiposity in the Hyperglycemia and Adverse Pregnancy Outcome Follow-Up Study. Diabetologia62(4), 598–610 (2019).
  • Elliott HR , SharpGC , ReltonCL , LawlorDA. Epigenetics and gestational diabetes: a review of epigenetic epidemiology studies and their use to explore epigenetic mediation and improve prediction. Diabetologia62(12), 2171–2178 (2019).
  • Basevi V , DiMario S , MorcianoC , NoninoF , MagriniN. Comment on: American Diabetes Association. Standards of medical care in diabetes – 2011.Diabetes Care34(5), e53–e54 (2011).
  • Moses RG , MosesM , RussellKG , SchierGM. The 75-g glucose tolerance test in pregnancy: a reference range determined on a low-risk population and related to selected pregnancy outcomes. Diabetes Care21(11), 1807 (1998).
  • Frøslie KF , RøislienJ , QvigstadEet al. Shape information from glucose curves: functional data analysis compared with traditional summary measures. BMC Med. Res. Methodol.13, 6–6 (2013).
  • Tschritter O , FritscheA , ShirkavandF , MachicaoF , HäringH , StumvollM. Assessing the shape of the glucose curve during an oral glucose tolerance test. Diabetes Care26(4), 1026 (2003).
  • Tura A , MorbiducciU , SbrignadelloS , WinhoferY , PaciniG , Kautzky-WillerA. Shape of glucose, insulin, C-peptide curves during a 3-h oral glucose tolerance test: any relationship with the degree of glucose tolerance?Am. J. Physiol. Regul. Integr. Comp. Physiol.300(4), R941–R948 (2011).
  • Catalano PM . Obesity, insulin resistance, and pregnancy outcome. Reproduction140(3), 365–371 (2010).
  • Ong KK , DiderholmB , SalzanoGet al. Pregnancy insulin, glucose, and BMI contribute to birth outcomes in nondiabetic mothers. Diabetes Care31(11), 2193–2197 (2008).
  • Kampmann U , KnorrS , FuglsangJ , OvesenP. Determinants of maternal insulin resistance during pregnancy: an updated overview. J. Diabetes Res.2019, 5320156 (2019).
  • Tam WH , MaRCW , OzakiRet al. In utero exposure to maternal hyperglycemia increases childhood cardiometabolic risk in offspring. Diabetes Care40(5), 679–686 (2017).
  • Scholtens DM , KuangA , LoweLPet al. Hyperglycemia and Adverse Pregnancy Outcome Follow-Up Study (HAPO FUS): maternal glycemia and childhood glucose metabolism. Diabetes Care42(3), 381–392 (2019).
  • Cardenas A , Gagné-OuelletV , AllardCet al. Placental DNA methylation adaptation to maternal glycemic response in pregnancy. Diabetes67(8), 1673–1683 (2018).
  • Hivert M-F , CardenasA , AllardCet al. Interplay of placental DNA methylation and maternal insulin sensitivity in pregnancy. Diabetes69(3), 484 (2020).
  • Finer S , MathewsC , LoweRet al. Maternal gestational diabetes is associated with genome-wide DNA methylation variation in placenta and cord blood of exposed offspring. Hum. Mol. Genet.24(11), 3021–3029 (2015).
  • Howe CG , CoxB , ForeRet al. Maternal gestational diabetes mellitus and newborn DNA methylation: findings from the Pregnancy and Childhood Epigenetics Consortium. Diabetes Care43(1), 98 (2020).
  • Guillemette L , AllardC , LacroixMet al. Genetics of Glucose Regulation in Gestation and Growth (Gen3G): a prospective prebirth cohort of mother-child pairs in Sherbrooke, Canada. BMJ Open6(2), e010031 (2016).
  • Rani PR , BegumJ. Screening and diagnosis of gestational diabetes mellitus, where do we stand. J. Clin. Diagn. Res.10(4), QE01–QE04 (2016).
  • Fenton TR , KimJH. A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants. BMC Pediatrics13(1), 59 (2013).
  • Aryee MJ , JaffeAE , Corrada-BravoHet al. Minfi: a flexible and comprehensive bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics30(10), 1363–1369 (2014).
  • Fortin J-P , LabbeA , LemireMet al. Functional normalization of 450 k methylation array data improves replication in large cancer studies. Genome Biol.15(12), 503–503 (2014).
  • Niu L , XuZ , TaylorJA. RCP: a novel probe design bias correction method for Illumina Methylation BeadChip. Bioinformatics32(17), 2659–2663 (2016).
  • Hansen KD . IlluminaHumanMethylationEPICmanifest: manifest for Illumina’s EPIC methylation arrays. R package version 0.3.0. (2016). https://bioconductor.org/packages/IlluminaHumanMethylationEPICmanifest/
  • Pidsley R , ZotenkoE , PetersTJet al. Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling. Genome Biol.17(1), 208 (2016).
  • Johnson WE , LiC , RabinovicA. Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics8(1), 118–127 (2007).
  • Leek JT , JohnsonWE , ParkerHS , JaffeAE , StoreyJD. The sva package for removing batch effects and other unwanted variation in high-throughput experiments. Bioinformatics28(6), 882–883 (2012).
  • Du P , ZhangX , HuangC-Cet al. Comparison of beta-value and M-value methods for quantifying methylation levels by microarray analysis. BMC Bioinformatics11(1), 587 (2010).
  • Ringnér M . What is principal component analysis?Nat. Biotechnol.26(3), 303–304 (2008).
  • Zhang Q , ZhaoY , ZhangRet al. A comparative study of five association tests based on CpG set for epigenome-wide association studies. PLoS ONE11(6), e0156895 (2016).
  • Zhao Y , ChenF , ZhaiR , LinX , DiaoN , ChristianiDC. Association test based on SNP set: logistic kernel machine based test vs. principal component analysis. PLoS ONE7(9), e44978 (2012).
  • Lenz M , MüllerF-J , ZenkeM , SchuppertA. Principal components analysis and the reported low intrinsic dimensionality of gene expression microarray data. Sci. Rep.6(1), 25696 (2016).
  • Perng W , RinghamBM , SmithHA , MichelottiG , KechrisKM , DabeleaD. A prospective study of associations between in utero exposure to gestational diabetes mellitus and metabolomic profiles during late childhood and adolescence. Diabetologia63(2), 296–312 (2020).
  • Yi H , WoH , ZhaoYet al. Comparison of dimension reduction-based logistic regression models for case–control genome-wide association study: principal components analysis vs. partial least squares. J. Biomed. Res.29(4), 298–307 (2015).
  • Bakulski KM , FeinbergJI , AndrewsSVet al. DNA methylation of cord blood cell types: applications for mixed cell birth studies. Epigenetics11(5), 354–362 (2016).
  • Juvinao-Quintero DL , StarlingAP , CardenasAet al. Epigenome-wide association study of maternal hemoglobin A1c in pregnancy and cord blood DNA methylation. Epigenomics13(3), 203–218 (2021).
  • Cooper N . Humarray: simplify analysis and annotation of human microarray datasets. R package version 1.2. (2017). https://CRAN.R-project.org/package=humarray
  • El Hajj N , PliushchG , SchneiderEet al. Metabolic programming of MEST DNA methylation by intrauterine exposure to gestational diabetes mellitus. Diabetes62(4), 1320–1328 (2013).
  • Haertle L , ElHajj N , DittrichMet al. Epigenetic signatures of gestational diabetes mellitus on cord blood methylation. Clin. Epigenetics9, 28 (2017).
  • Quilter CR , CooperWN , CliffeKMet al. Impact on offspring methylation patterns of maternal gestational diabetes mellitus and intrauterine growth restraint suggest common genes and pathways linked to subsequent type 2 diabetes risk. FASEB J.28(11), 4868–4879 (2014).
  • Stumvoll M , MitrakouA , PimentaWet al. Use of the oral glucose tolerance test to assess insulin release and insulin sensitivity. Diabetes Care23(3), 295–301 (2000).
  • Tai MM . A mathematical model for the determination of total area under glucose tolerance and other metabolic curves. Diabetes Care17(2), 152 (1994).
  • Sarina Li DF , FengZQet al. Mechanism of placenta damage in gestational diabetes mellitus by investigating TXNIP of patient samples and gene functional research in cell line. Diabetes Ther.10(6), 2265–2288 (2019).
  • Pasternak Y , OhanaM , Biron-ShentalT , Cohen-HagaiK , BenchetritS , Zitman-GalT. Thioredoxin, thioredoxin interacting protein and transducer and activator of transcription 3 in gestational diabetes. Mol. Biol. Rep.47(2), 1199–1206 (2020).
  • Walaszczyk E , LuijtenM , SpijkermanAMWet al. DNA methylation markers associated with type 2 diabetes, fasting glucose and HbA(1c) levels: a systematic review and replication in a case-control sample of the Lifelines study. Diabetologia61(2), 354–368 (2018).
  • Soriano-Tárraga C , Jiménez-CondeJ , Giralt-SteinhauerEet al. Epigenome-wide association study identifies TXNIP gene associated with type 2 diabetes mellitus and sustained hyperglycemia. Hum. Mol. Genet.25(3), 609–619 (2016).
  • Cardona A , DayFR , PerryJRBet al. Epigenome-wide association study of incident type 2 diabetes in a British population: EPIC-Norfolk study. Diabetes68(12), 2315 (2019).
  • Chambers JC , LohM , LehneBet al. Epigenome-wide association of DNA methylation markers in peripheral blood from Indian Asians and Europeans with incident type 2 diabetes: a nested case–control study. Lancet Diabetes Endocrinol.3(7), 526–534 (2015).
  • Meeks KaC , HennemanP , VenemaAet al. Epigenome-wide association study in whole blood on type 2 diabetes among sub-Saharan African individuals: findings from the RODAM study. Int. J. Epidemiol.48(1), 58–70 (2019).
  • Wahl S , DrongA , LehneBet al. Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature541(7635), 81–86 (2017).
  • Pfeiffer L , WahlS , PillingLCet al. DNA methylation of lipid-related genes affects blood lipid levels. Circ. Cardiovasc. Genet.8(2), 334–342 (2015).
  • Puca L , BrouC. α-arrestins – new players in Notch and GPCR signaling pathways in mammals. J. Cell Sci.127(7), 1359–1367 (2014).
  • Minn AH , HafeleC , ShalevA. Thioredoxin-interacting protein is stimulated by glucose through a carbohydrate response element and induces beta-cell apoptosis. Endocrinology146(5), 2397–2405 (2005).
  • Fagerberg L , HallströmBM , OksvoldPet al. Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics. Mol. Cell. Proteomics13(2), 397–406 (2014).
  • Parikh H , CarlssonE , ChutkowWAet al. TXNIP regulates peripheral glucose metabolism in humans. PLoS Med.4(5), e158 (2007).
  • Chen J , SaxenaG , MungrueIN , LusisAJ , ShalevA. Thioredoxin-interacting protein: a critical link between glucose toxicity and beta-cell apoptosis. Diabetes57(4), 938–944 (2008).
  • Martinez E , PalhanVB , TjernbergAet al. Human STAGA complex is a chromatin-acetylating transcription coactivator that interacts with pre-mRNA splicing and DNA damage-binding factors in vivo. Mol. Cell. Biol.21(20), 6782–6795 (2001).
  • Gene Cards . The GeneCards human gene database index (2020). www.genecards.org/cgi-bin/carddisp.pl?gene=MAN2A2&keywords=MAN2A2
  • Tobi EW , SliekerRC , SteinADet al. Early gestation as the critical time-window for changes in the prenatal environment to affect the adult human blood methylome. Int. J. Epidemiol.44(4), 1211–1223 (2015).
  • Ruchat SM , HoudeAA , VoisinGet al. Gestational diabetes mellitus epigenetically affects genes predominantly involved in metabolic diseases. Epigenetics8(9), 935–943 (2013).
  • Guay SP , LégaréC , BrissonDet al. Epigenetic and genetic variations at the TNNT1 gene locus are associated with HDL-C levels and coronary artery disease. Epigenomics8(3), 359–371 (2016).

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