Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-22T19:33:22.993Z Has data issue: false hasContentIssue false

Increased birth weight is associated with altered gene expression in neonatal foreskin

Published online by Cambridge University Press:  09 May 2017

L. J. Reynolds
Affiliation:
Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY, USA
R. I. Pollack
Affiliation:
Department of Obstetrics and Gynecology, College of Medicine, University of Kentucky, Lexington, KY, USA
R. J. Charnigo
Affiliation:
Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA Department of Statistics, University of Kentucky, Lexington, KY, USA
C. S. Rashid
Affiliation:
Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY, USA
A. J. Stromberg
Affiliation:
Department of Statistics, University of Kentucky, Lexington, KY, USA
S. Shen
Affiliation:
Department of Statistics, University of Kentucky, Lexington, KY, USA
J. M. O’Brien
Affiliation:
Department of Obstetrics and Gynecology, College of Medicine, University of Kentucky, Lexington, KY, USA
K. J. Pearson*
Affiliation:
Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY, USA
*
*Address for correspondence: K. J. Pearson, 900 South Limestone, Wethington Room 591 Lexington, KY 40536, USA. (Email [email protected])

Abstract

Elevated birth weight is linked to glucose intolerance and obesity health-related complications later in life. No studies have examined if infant birth weight is associated with gene expression markers of obesity and inflammation in a tissue that comes directly from the infant following birth. We evaluated the association between birth weight and gene expression on fetal programming of obesity. Foreskin samples were collected following circumcision, and gene expression analyzed comparing the 15% greatest birth weight infants (n=7) v. the remainder of the cohort (n=40). Multivariate linear regression models were fit to relate expression levels on differentially expressed genes to birth weight group with adjustment for variables selected from a list of maternal and infant characteristics. Glucose transporter type 4 (GLUT4), insulin receptor substrate 2 (IRS2), leptin receptor (LEPR), lipoprotein lipase (LPL), low-density lipoprotein receptor-related protein 1 (LRP1), matrix metalloproteinase 2 (MMP2), plasminogen activator inhibitor-1 (PAI-1) and transcription factor 7-like 2 (TCF7L2) were significantly upregulated and histone deacetylase 1 (HDAC1) and thioredoxin (TXN) downregulated in the larger birth weight neonates v. controls. Multivariate modeling revealed that the estimated adjusted birth weight group difference exceeded one standard deviation of the expression level for eight of the 10 genes. Between 25 and 50% of variation in expression level was explained by multivariate modeling for eight of the 10 genes. Gene expression related to glycemic control, appetite/energy balance, obesity and inflammation were altered in tissue from babies with elevated birth weight, and these genes may provide important information regarding fetal programming in macrosomic babies.

Type
Original Article
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

a

Present address: Maternal Fetal Medicine, Carolinas Medical Center, Charlotte, NC 28204, USA.

b

Present address: Children’s Hospital of Philadelphia, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA 19104, USA.

Presented at meeting: The 61st Annual Society for Gynecological Investigation Scientific Meeting, Florence, Italy, March 2014.

These authors contributed equally.

References

1. Ogden, CL, Carroll, MD, Kit, BK, Flegal, KM. Prevalence of obesity in the United States, 2009–2010. NCHS Data Brief. 2012; 82, 18.Google Scholar
2. American College of Obstetricians and Gynecologists. ACOG Committee opinion no. 549: obesity in pregnancy. Obstet Gynecol. 2013; 121, 213–217.Google Scholar
3. Ovesen, P, Rasmussen, S, Kesmodel, U. Effect of prepregnancy maternal overweight and obesity on pregnancy outcome. Obstet Gynecol. 2011; 118(Pt 1), 305312.CrossRefGoogle ScholarPubMed
4. Johnson, J, Clifton, RG, Roberts, JM, et al. Pregnancy outcomes with weight gain above or below the 2009 Institute of Medicine Guidelines. Obstet Gynecol. 2013; 121, 969975.CrossRefGoogle ScholarPubMed
5. Salsberry, PJ, Reagan, PB. Taking the long view: the prenatal environment and early adolescent overweight. Res Nurs Health. 2007; 30, 297307.CrossRefGoogle Scholar
6. Crume, TL, Ogden, L, West, NA, et al. Association of exposure to diabetes in utero with adiposity and fat distribution in a multiethnic population of youth: the Exploring Perinatal Outcomes among Children (EPOCH) Study. Diabetologia. 2011; 54, 8792.CrossRefGoogle Scholar
7. Lausten-Thomsen, U, Bille, DS, Nasslund, I, et al. Neonatal anthropometrics and correlation to childhood obesity – data from the Danish Children’s Obesity Clinic. Eur J Pediatr. 2013; 172, 747751.CrossRefGoogle ScholarPubMed
8. Oken, E, Rifas-Shiman, SL, Field, AE, Frazier, AL, Gillman, MW. Maternal gestational weight gain and offspring weight in adolescence. Obstet Gynecol. 2008; 112, 9991006.CrossRefGoogle ScholarPubMed
9. Sewell, MF, Huston-Presley, L, Super, DM, Catalano, P. Increased neonatal fat mass, not lean body mass, is associated with maternal obesity. Am J Obstet Gynecol. 2006; 195, 11001103.CrossRefGoogle Scholar
10. Dabelea, D, Hanson, RL, Lindsay, RS, et al. Intrauterine exposure to diabetes conveys risks for type 2 diabetes and obesity: a study of discordant sibships. Diabetes. 2000; 49, 22082211.CrossRefGoogle ScholarPubMed
11. Barker, DJ, Hales, CN, Fall, CH, et al. Type 2 (non-insulin-dependent) diabetes mellitus, hypertension and hyperlipidaemia (syndrome X): relation to reduced fetal growth. Diabetologia. 1993; 36, 6267.CrossRefGoogle ScholarPubMed
12. Guo, L, Liu, J, Ye, R, Zhuang, Z, Ren, A. Gestational weight gain and overweight in children aged 3–6 years. J Epidemiol. 2015; 25, 536543.Google Scholar
13. Marchi, J, Berg, M, Dencker, A, Olander, EK, Begley, C. Risks associated with obesity in pregnancy, for the mother and baby: a systematic review of reviews. Obes Rev. 2015; 16, 621638.CrossRefGoogle Scholar
14. Catalano, PM. Obesity and pregnancy – the propagation of a viscous cycle? J Clin Endocrinol Metab. 2003; 88, 35053506.CrossRefGoogle ScholarPubMed
15. Garcia-Valdes, L, Campoy, C, Hayes, H, et al. The impact of maternal obesity on iron status, placental transferrin receptor expression and hepcidin expression in human pregnancy. Int J Obes (Lond). 2015; 39, 571578.CrossRefGoogle ScholarPubMed
16. Brett, KE, Ferraro, ZM, Yockell-Lelievre, J, Gruslin, A, Adamo, KB. Maternal-fetal nutrient transport in pregnancy pathologies: the role of the placenta. Int J Mol Sci. 2014; 15, 1615316185.CrossRefGoogle ScholarPubMed
17. Carty, D, Akehurst, C, Savage, R, et al. Differential gene expression in obese pregnancy. Pregnancy Hypertens. 2014; 4, 232233.CrossRefGoogle ScholarPubMed
18. Catalano, PM, Presley, L, Minium, J, Hauguel-de Mouzon, S. Fetuses of obese mothers develop insulin resistance in utero. Diabetes Care. 2009; 32, 10761080.CrossRefGoogle ScholarPubMed
19. Hiden, U, Glitzner, E, Hartmann, M, Desoye, G. Insulin and the IGF system in the human placenta of normal and diabetic pregnancies. J Anat. 2009; 215, 6068.CrossRefGoogle ScholarPubMed
20. McIntyre, HD, Zeck, W, Russell, A. Placental growth hormone, fetal growth and the IGF axis in normal and diabetic pregnancy. Curr Diabetes Rev. 2009; 5, 185189.CrossRefGoogle ScholarPubMed
21. Silverman, BL, Rizzo, TA, Cho, NH, Metzger, BE. Long-term effects of the intrauterine environment. The Northwestern University Diabetes in Pregnancy Center. Diabetes Care. 1998; 21(Suppl. 2), B142B149.Google Scholar
22. Verhaeghe, J, Van Bree, R, Van Herck, E, et al. C-peptide, insulin-like growth factors I and II, and insulin-like growth factor binding protein-1 in umbilical cord serum: correlations with birth weight. Am J Obstet Gynecol. 1993; 169, 8997.CrossRefGoogle ScholarPubMed
23. Ainge, H, Thompson, C, Ozanne, SE, Rooney, KB. A systematic review on animal models of maternal high fat feeding and offspring glycaemic control. Int J Obes (Lond). 2011; 35, 325335.CrossRefGoogle ScholarPubMed
24. Tamashiro, KL, Terrillion, CE, Hyun, J, Koenig, JI, Moran, TH. Prenatal stress or high-fat diet increases susceptibility to diet-induced obesity in rat offspring. Diabetes. 2009; 58, 11161125.CrossRefGoogle ScholarPubMed
25. De Corte, P, Verween, G, Verbeken, G, et al. Feeder layer- and animal product-free culture of neonatal foreskin keratinocytes: improved performance, usability, quality and safety. Cell Tissue Bank. 2012; 13, 175189.CrossRefGoogle ScholarPubMed
26. Mendez, MV, Raffetto, JD, Phillips, T, Menzoian, JO, Park, HY. The proliferative capacity of neonatal skin fibroblasts is reduced after exposure to venous ulcer wound fluid: a potential mechanism for senescence in venous ulcers. J Vasc Surg. 1999; 30, 734743.CrossRefGoogle ScholarPubMed
27. Qiao, L, Tasian, GE, Zhang, H, et al. Androgen receptor is overexpressed in boys with severe hypospadias, and ZEB1 regulates androgen receptor expression in human foreskin cells. Pediatr Res. 2012; 71(Pt 1), 393398.CrossRefGoogle ScholarPubMed
28. Vottero, A, Minari, R, Viani, I, et al. Evidence for epigenetic abnormalities of the androgen receptor gene in foreskin from children with hypospadias. J Clin Endocrinol Metab. 2011; 96, E1953E1962.CrossRefGoogle ScholarPubMed
29. Reynolds, LJ, Dickens, BJ, Green, BB, Marsit, CJ, Pearson, KJ. Using neonatal skin to study the developmental programming of aging. Exp Gerontol. 2016, https://doi.org/10.1016/j.exger.2016.12.015.CrossRefGoogle Scholar
30. Berglund, SR, Schwietert, CW, Jones, AA, et al. Optimized methodology for sequential extraction of RNA and protein from small human skin biopsies. J Invest Dermatol. 2007; 127, 349353.CrossRefGoogle ScholarPubMed
31. Benjamini, Y, Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc. 1995; 57, 289300.Google Scholar
32. Rosner, B. Duxbury, an imprint of Thomson Brooks/Cole, a part of The Thomson Corporation. Fundamentals of Biostatistics, 6th edn, 2006. Thomson Higher Education: Belmont, CA.Google Scholar
33. Geiss, GK, Bumgarner, RE, Birditt, B, et al. Direct multiplexed measurement of gene expression with color-coded probe pairs. Nat Biotechnol. 2008; 26, 317325.CrossRefGoogle ScholarPubMed
34. Schmittgen, TD, Livak, KJ. Analyzing real-time PCR data by the comparative C(T) method. Nat Protoc. 2008; 3, 11011108.CrossRefGoogle ScholarPubMed
35. Schwarz, G. Estimating the dimension of a model. Ann Stat. 1978; 6, 461464.CrossRefGoogle Scholar
36. Rasmussen, KM, Catalano, PM, Yaktine, AL. New guidelines for weight gain during pregnancy: what obstetrician/gynecologists should know. Curr Opin Obstet Gynecol. 2009; 21, 521526.CrossRefGoogle ScholarPubMed
37. Butte, NF, Ellis, KJ, Wong, WW, Hopkinson, JM, Smith, EO. Composition of gestational weight gain impacts maternal fat retention and infant birth weight. Am J Obstet Gynecol. 2003; 189, 14231432.CrossRefGoogle ScholarPubMed
38. In ‘t Anker, PS, Scherjon, SA, Kleijburg-van der Keur, C, et al. Isolation of mesenchymal stem cells of fetal or maternal origin from human placenta. Stem cells. 2004; 22, 13381345.CrossRefGoogle ScholarPubMed
39. Hall, JM, Lingenfelter, P, Adams, SL, et al. Detection of maternal cells in human umbilical cord blood using fluorescence in situ hybridization. Blood. 1995; 86, 28292832.CrossRefGoogle ScholarPubMed
40. Kainulainen, H, Jarvinen, T, Heinonen, PK. Placental glucose transporters in fetal intrauterine growth retardation and macrosomia. Gynecol Obstet Invest. 1997; 44, 8992.CrossRefGoogle ScholarPubMed
41. Mazaki-Tovi, S, Kanety, H, Pariente, C, et al. Cord blood adiponectin in large-for-gestational age newborns. Am J Obstet Gynecol. 2005; 193(Pt 2), 12381242.CrossRefGoogle ScholarPubMed
42. Wiznitzer, A, Furman, B, Zuili, I, et al. Cord leptin level and fetal macrosomia. Obstet Gynecol. 2000; 96(Pt 1), 707713.Google ScholarPubMed
43. Wang, J, Shang, LX, Dong, X, et al. Relationship of adiponectin and resistin levels in umbilical serum, maternal serum and placenta with neonatal birth weight. Aust N Z J Obstet Gynaecol. 2010; 50, 432438.CrossRefGoogle ScholarPubMed
44. Curhan, GC, Chertow, GM, Willett, WC, et al. Birth weight and adult hypertension and obesity in women. Circulation. 1996; 94, 13101315.CrossRefGoogle ScholarPubMed
45. Curhan, GC, Willett, WC, Rimm, EB, et al. Birth weight and adult hypertension, diabetes mellitus, and obesity in US men. Circulation. 1996; 94, 32463250.CrossRefGoogle ScholarPubMed
46. Wei, JN, Sung, FC, Li, CY, et al. Low birth weight and high birth weight infants are both at an increased risk to have type 2 diabetes among schoolchildren in taiwan. Diabetes Care. 2003; 26, 343348.CrossRefGoogle ScholarPubMed
47. Rich-Edwards, JW, Stampfer, MJ, Manson, JE, et al. Birth weight and risk of cardiovascular disease in a cohort of women followed up since 1976. Br Med J. 1997; 315, 396400.CrossRefGoogle Scholar
48. Vickers, MH, Gluckman, PD, Coveny, AH, et al. Neonatal leptin treatment reverses developmental programming. Endocrinology. 2005; 146, 42114216.CrossRefGoogle ScholarPubMed
49. Lin, S, Storlien, LH, Huang, XF, Leptin receptor, NPY, POMC mRNA expression in the diet-induced obese mouse brain. Brain Res. 2000; 875, 8995.CrossRefGoogle Scholar
50. Kahn, BB, Flier, JS. Obesity and insulin resistance. J Clin Invest. 2000; 106, 473481.CrossRefGoogle ScholarPubMed
51. Sano, H, Kane, S, Sano, E, et al. Insulin-stimulated phosphorylation of a Rab GTPase-activating protein regulates GLUT4 translocation. J Biol Chem. 2003; 278, 1459914602.CrossRefGoogle ScholarPubMed
52. Garvey, WT, Maianu, L, Zhu, JH, et al. Evidence for defects in the trafficking and translocation of GLUT4 glucose transporters in skeletal muscle as a cause of human insulin resistance. J Clin Invest. 1998; 101, 23772386.CrossRefGoogle ScholarPubMed
53. Pisani, LP, Oller do Nascimento, CM, Bueno, AA, et al. Hydrogenated fat diet intake during pregnancy and lactation modifies the PAI-1 gene expression in white adipose tissue of offspring in adult life. Lipids Health Dis. 2008; 7, 13.CrossRefGoogle ScholarPubMed
54. Juhan-Vague, I, Alessi, MC. PAI-1, obesity, insulin resistance and risk of cardiovascular events. Thromb Haemost. 1997; 78, 656660.Google ScholarPubMed
55. Takeshita, K, Hayashi, M, Iino, S, et al. Increased expression of plasminogen activator inhibitor-1 in cardiomyocytes contributes to cardiac fibrosis after myocardial infarction. Am J Pathol. 2004; 164, 449456.CrossRefGoogle ScholarPubMed
56. Huang, Y, Yan, X, Zhao, JX, et al. Maternal obesity induces fibrosis in fetal myocardium of sheep. Am J Physiol Endocrinol Metab. 2010; 299, E968E975.CrossRefGoogle ScholarPubMed
57. Reynolds, RM, Allan, KM, Raja, EA, et al. Maternal obesity during pregnancy and premature mortality from cardiovascular event in adult offspring: follow-up of 1,323,275 person years. Br Med J. 2013; 347, f4539.CrossRefGoogle ScholarPubMed
58. Yoshida, T, Nakamura, H, Masutani, H, Yodoi, J. The involvement of thioredoxin and thioredoxin binding protein-2 on cellular proliferation and aging process. Ann N Y Acad Sci. 2005; 1055, 112.CrossRefGoogle ScholarPubMed
59. Bruce, KD, Cagampang, FR, Argenton, M, et al. Maternal high-fat feeding primes steatohepatitis in adult mice offspring, involving mitochondrial dysfunction and altered lipogenesis gene expression. Hepatology. 2009; 50, 17961808.CrossRefGoogle ScholarPubMed
60. Ness, RB, Harris, T, Cobb, J, et al. Number of pregnancies and the subsequent risk of cardiovascular disease. N Engl J Med. 1993; 328, 15281533.CrossRefGoogle ScholarPubMed
61. Rebholz, SL, Jones, T, Burke, KT, et al. Multiparity leads to obesity and inflammation in mothers and obesity in male offspring. Am J Physiol Endocrinol Metab. 2012; 302, E449E457.CrossRefGoogle ScholarPubMed
62. Whitelaw, AG. Influence of maternal obesity on subcutaneous fat in the newborn. Br Med J. 1976; 1, 985986.CrossRefGoogle ScholarPubMed
63. Vogel, C, Marcotte, EM. Insights into the regulation of protein abundance from proteomic and transcriptomic analyses. Nat Rev Genet. 2012; 13, 227232.CrossRefGoogle ScholarPubMed
Supplementary material: File

Reynolds supplementary material

Table S1

Download Reynolds supplementary material(File)
File 22.4 KB