Pregnancy induces transcriptional activation of the peripheral innate immune system and increases oxidative DNA damage among healthy third trimester pregnant women

Xinyin Jiang, Haim Y Bar, Jian Yan, Allyson A West, Cydne A Perry, Olga V Malysheva, Srisatish Devapatla, Eva Pressman, Francoise M Vermeylen, Martin T Wells, Marie A Caudill, Xinyin Jiang, Haim Y Bar, Jian Yan, Allyson A West, Cydne A Perry, Olga V Malysheva, Srisatish Devapatla, Eva Pressman, Francoise M Vermeylen, Martin T Wells, Marie A Caudill

Abstract

Background: Pregnancy induces physiological adaptations that may involve, or contribute to, alterations in the genomic landscape. Pregnancy also increases the nutritional demand for choline, an essential nutrient that can modulate epigenomic and transcriptomic readouts secondary to its role as a methyl donor. Nevertheless, the interplay between human pregnancy, choline and the human genome is largely unexplored.

Methodology/principal findings: As part of a controlled feeding study, we assessed the influence of pregnancy and choline intake on maternal genomic markers. Healthy third trimester pregnant (n = 26, wk 26-29 gestation) and nonpregnant (n = 21) women were randomized to choline intakes of 480 mg/day, approximating the Adequate Intake level, or 930 mg/day for 12-weeks. Blood leukocytes were acquired at study week 0 and study week 12 for microarray, DNA damage and global DNA/histone methylation measurements. A main effect of pregnancy that was independent of choline intake was detected on several of the maternal leukocyte genomic markers. Compared to nonpregnant women, third trimester pregnant women exhibited higher (P<0.05) transcript abundance of defense response genes associated with the innate immune system including pattern recognition molecules, neutrophil granule proteins and oxidases, complement proteins, cytokines and chemokines. Pregnant women also exhibited higher (P<0.001) levels of DNA damage in blood leukocytes, a genomic marker of oxidative stress. No effect of choline intake was detected on the maternal leukocyte genomic markers with the exception of histone 3 lysine 4 di-methylation which was lower among pregnant women in the 930 versus 480 mg/d choline intake group.

Conclusions: Pregnancy induces transcriptional activation of the peripheral innate immune system and increases oxidative DNA damage among healthy third trimester pregnant women.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. Effect of choline intake on…
Figure 1. Effect of choline intake on peripheral blood leukocyte H3K4me2.
The relative abundance of H3K4me2 at study-end in third trimester pregnant women (right) and nonpregnant women (left) consuming 930 versus 480 mg choline/d. White bar: 480 mg choline/d group, black bar: 930 mg choline/d group. n = 10–13/choline intake and pregnancy status. Values are predicted means ± SEM. Analyzed with general linear models.
Figure 2. Venn diagram of differentially expressed…
Figure 2. Venn diagram of differentially expressed genes by pregnancy.
This figure presents the number of genes differentially expressed in third trimester pregnant versus nonpregnant women at study-baseline (circle on the left) and study-end (circle on the right). The number of genes altered both at study-baseline and study-end are presented in the intersecting area of the two circles. Color scheme: blue represents low expression and yellow represents high expression. n = 12 for pregnant women; n = 10 for nonpregnant women. Analyzed with the LEMMA statistical package.
Figure 3. Hierarchical clustering of differentially expressed…
Figure 3. Hierarchical clustering of differentially expressed immune defense genes (GO: 0006952) in pregnant versus nonpregnant women.
This figure presents the hierarchical clustering of 112 differentially expressed immune defense genes in third trimester women versus nonpregnant women (reference group) at the beginning and end of the controlled feeding study. Color scheme: blue represents low expression and yellow represents high expression. n = 12 for pregnant women; n = 10 for nonpregnant women. Analyzed with Euclidean distances using MultiExperiment Viewer.
Figure 4. Plasma TNFα and IL6 concentrations.
Figure 4. Plasma TNFα and IL6 concentrations.
Plasma concentrations of TNFα and IL6 in third trimester pregnant versus nonpregnant women at study-baseline (A) and study-end (B). White bar: nonpregnant women (n = 21); black bar: pregnant women (n = 26). Values are means ± SEM. Analyzed with general linear models.
Figure 5. Peripheral blood leukocyte histone modification…
Figure 5. Peripheral blood leukocyte histone modification marks H3K4me2, H3K9me2 and H3K27me3.
(A) and (C), histone modifications in third trimester pregnant versus nonpregnant women without controlling for percent granulocytes at study-baseline and study-end, respectively; (B) and (D), histone modifications in third trimester pregnant versus nonpregnant women controlling for percent granulocytes at study-baseline or study-end, respectively. White bar: nonpregnant women (n = 21), black bar: pregnant women (n = 26). Data are predicted means ± SEM. Analyzed with general linear models.

References

    1. Wegmann TG, Lin H, Guilbert L, Mosmann TR (1993) Bidirectional cytokine interactions in the maternal-fetal relationship: is successful pregnancy a TH2 phenomenon? Immunol Today 14: 353–356.
    1. Witkin SS, Linhares IM, Bongiovanni AM, Herway C, Skupski D (2011) Unique alterations in infection-induced immune activation during pregnancy. BJOG 118: 145–153.
    1. Belo L, Santos-Silva A, Rocha S, Caslake M, Cooney J, et al. (2005) Fluctuations in C-reactive protein concentration and neutrophil activation during normal human pregnancy. Eur J Obstet Gynecol Reprod Biol 123: 46–51.
    1. Crocker I, Lawson N, Daniels I, Baker P, Fletcher J (1999) Significance of fatty acids in pregnancy-induced immunosuppression. Clinical and Diagnostic Laboratory Immunology 6: 587–593.
    1. Crouch SP, Crocker IP, Fletcher J (1995) The effect of pregnancy on polymorphonuclear leukocyte function. J Immunol 155: 5436–5443.
    1. Luppi P, Haluszczak C, Trucco M, Deloia JA (2002) Normal pregnancy is associated with peripheral leukocyte activation. Am J Reprod Immunol 47: 72–81.
    1. Sacks GP, Studena K, Sargent K, Redman CW (1998) Normal pregnancy and preeclampsia both produce inflammatory changes in peripheral blood leukocytes akin to those of sepsis. Am J Obstet Gynecol 179: 80–86.
    1. Casanueva E, Viteri FE (2003) Iron and oxidative stress in pregnancy. J Nutr 133: 1700S–1708S.
    1. Furness DL, Dekker GA, Roberts CT (2011) DNA damage and health in pregnancy. J Reprod Immunol 89: 153–162.
    1. Harma M, Kocyigit A, Erel O (2005) Increased DNA damage in patients with complete hydatidiform mole. Mutat Res 583: 49–54.
    1. Zeisel SH (2009) Importance of methyl donors during reproduction. Am J Clin Nutr 89: 673S–677S.
    1. Kass SU, Pruss D, Wolffe AP (1997) How does DNA methylation repress transcription? Trends in Genetics 13: 444–449.
    1. Cheung P, Lau P (2005) Epigenetic regulation by histone methylation and histone variants. Molecular Endocrinology 19: 563–573.
    1. Institute of Medicine (1998) Dietary reference intakes for thiamin, riboflavin, niacin, vitamin B6, folate, vitamin B12, pantothenic acid, biotin and choline. Washington, DC: National Academy Press: 390–422.
    1. Jiang X, Yan J, West AA, Perry CA, Malysheva OV, et al. (2012) Maternal choline intake alters the epigenetic state of fetal cortisol-regulating genes in humans. FASEB J
    1. Yan J, Jiang X, West AA, Perry CA, Malysheva OV, et al. (2012) Maternal choline intake modulates maternal and fetal biomarkers of choline metabolism in humans. American Journal of Clinical Nutrition 95: 1060–1071.
    1. Shin W, Yan J, Abratte CM, Vermeylen F, Caudill MA (2010) Choline intake exceeding current dietary recommendations preserves markers of cellular methylation in a genetic subgroup of folate-compromised men. Journal of Nutrition 140: 975–980.
    1. R Development Core Team (2011) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing.
    1. Bar H, Schifano E (2010) Lemma: Laplace approximated EM Microarray Analysis.
    1. Bar H, Booth J, Schifano E, Wells MT (2010) Laplace Approximated EM Microarray Analysis: An Empirical Bayes Approach for Comparative Microarray Experiments. Statistical Science 25: 388–407.
    1. Zeeberg BR, Qin H, Narasimhan S, Sunshine M, Cao H, et al. (2005) High-Throughput GoMiner, an ‘industrial-strength’ integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID). BMC Bioinformatics 6: 168.
    1. Saeed AI, Bhagabati NK, Braisted JC, Liang W, Sharov V, et al. (2006) TM4 microarray software suite. Methods Enzymol 411: 134–193.
    1. Saeed AI, Sharov V, White J, Li J, Liang W, et al. (2003) TM4: a free, open-source system for microarray data management and analysis. Biotechniques 34: 374–378.
    1. Edgar R, Domrachev M, Lash AE (2002) Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res 30: 207–210.
    1. Chew TW, Jiang XY, Yan J, Wang W, Lusa AL, et al. (2011) Folate Intake, Mthfr Genotype, and Sex Modulate Choline Metabolism in Mice. Journal of Nutrition 141: 1475–1481.
    1. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25: 402–408.
    1. Song L, James SR, Kazim L, Karpf AR (2005) Specific method for the determination of genomic DNA methylation by liquid chromatography-electrospray ionization tandem mass spectrometry. Anal Chem 77: 504–510.
    1. Drewniak A, Tool ATJ, Geissler J, van Bruggen R, van den Berg TK, et al. (2010) Toll-like receptor-induced reactivity and strongly potentiated IL-8 production in granulocytes mobilized for transfusion purposes. Blood 115: 4588–4596.
    1. Grishman EK, White PC, Savani RC (2012) Toll-like receptors, the NLRP3 inflammasome, and interleukin-1beta in the development and progression of type 1 diabetes. Pediatr Res
    1. Mantovani A, Cassatella MA, Costantini C, Jaillon S (2011) Neutrophils in the activation and regulation of innate and adaptive immunity. Nat Rev Immunol 11: 519–531.
    1. Dascher CC, Brenner MB (2003) CD1 antigen presentation and infectious disease. Contrib Microbiol 10: 164–182.
    1. Oldham KA, Parsonage G, Bhatt RI, Wallace DM, Deshmukh N, et al. (2012) T lymphocyte recruitment into renal cell carcinoma tissue: a role for chemokine receptors CXCR3, CXCR6, CCR5, and CCR6. Eur Urol 61: 385–394.
    1. Stenstad H, Ericsson A, Johansson-Lindbom B, Svensson M, Marsal J, et al. (2006) Gut-associated lymphoid tissue-primed CD4+ T cells display CCR9-dependent and -independent homing to the small intestine. Blood 107: 3447–3454.
    1. Denoeud J, Moser M (2011) Role of CD27/CD70 pathway of activation in immunity and tolerance. J Leukoc Biol 89: 195–203.
    1. Koretzky GA, Abtahian F, Silverman MA (2006) SLP76 and SLP65: complex regulation of signalling in lymphocytes and beyond. Nat Rev Immunol 6: 67–78.
    1. Qanungo S, Mukherjea M (2000) Ontogenic profile of some antioxidants and lipid peroxidation in human placental and fetal tissues. Molecular and Cellular Biochemistry 215: 11–19.
    1. Wang YP, Walsh SW, Guo JD, Zhang JY (1991) Maternal Levels of Prostacyclin, Thromboxane, Vitamin-E, and Lipid Peroxides Throughout Normal-Pregnancy. American Journal of Obstetrics and Gynecology 165: 1690–1694.
    1. Vidali M, Stewart SF, Albano E (2008) Interplay between oxidative stress and immunity in the progression of alcohol-mediated liver injury. Trends in Molecular Medicine 14: 63–71.
    1. Lamb FS, Hook JS, Hilkin BM, Huber JN, Volk AP, et al. (2012) Endotoxin priming of neutrophils requires endocytosis and NADPH oxidase-dependent endosomal reactive oxygen species. J Biol Chem 287: 12395–12404.
    1. Cooke MS, Evans MD, Dizdaroglu M, Lunec J (2003) Oxidative DNA damage: mechanisms, mutation, and disease. FASEB J 17: 1195–1214.
    1. Collins AR (2004) The comet assay for DNA damage and repair: principles, applications, and limitations. Mol Biotechnol 26: 249–261.
    1. Kim TH, Barrera LO, Zheng M, Qu CX, Singer MA, et al. (2005) A high-resolution map of active promoters in the human genome. Nature 436: 876–880.
    1. Chaussabel D, Pascual V, Banchereau J (2010) Assessing the human immune system through blood transcriptomics. BMC Biol 8: 84.
    1. Pascual V, Chaussabel D, Banchereau J (2010) A genomic approach to human autoimmune diseases. Annu Rev Immunol 28: 535–571.
    1. Talwar S, Munson PJ, Barb J, Fiuza C, Cintron AP, et al. (2006) Gene expression profiles of peripheral blood leukocytes after endotoxin challenge in humans. Physiol Genomics 25: 203–215.

Source: PubMed

3
Předplatit