Comparison of Genome-Wide DNA Methylation Profiles of Human Fetal Tissues Conceived by in vitro Fertilization and Natural Conception

被引:8
|
作者
Liu, Ye [1 ,2 ,3 ]
Li, Xinzhu [1 ,2 ,3 ]
Chen, Songchang [2 ,3 ,4 ]
Wang, Li [1 ,3 ]
Tan, Yajing [1 ,3 ]
Li, Xiaocui [5 ]
Tang, Lin [1 ]
Zhang, Junyu [1 ]
Wu, Dandan [1 ,3 ]
Wu, Yanting [3 ,4 ]
Liu, Xinmei [3 ,4 ,6 ]
Zhu, Yimin [2 ]
Sheng, Jianzhong [2 ,3 ,7 ]
Pan, Jiexue [3 ,4 ,6 ]
Jin, Li [3 ,4 ,6 ]
Huang, Hefeng [1 ,2 ,3 ,4 ,6 ]
机构
[1] Shanghai Jiao Tong Univ, Int Peace Matern & Child Hlth Hosp, Sch Med, Shanghai, Peoples R China
[2] Zhejiang Univ, Key Lab Reprod Genet, Minist Educ, Hangzhou, Peoples R China
[3] Shanghai Key Lab Embryo Original Dis, Shanghai, Peoples R China
[4] Fudan Univ, Inst Reprod & Dev, Obstet & Gynecol Hosp, Shanghai, Peoples R China
[5] Tongji Univ, Shanghai Matern & Infant Hosp 1, Dept Obstet & Gynecol, Sch Med, Shanghai, Peoples R China
[6] Chinese Acad Med Sci, Res Units Embryo Original Dis, Shanghai, Peoples R China
[7] Zhejiang Univ, Sch Med, Dept Pathol & Pathphysiol, Hangzhou, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
IVF-ET; DNA methylation; fetal tissue; multiembryo transfer; developmental origins of health and disease; ASSISTED REPRODUCTIVE TECHNOLOGY; LOW-BIRTH-WEIGHT; CHILDREN BORN; GENE-EXPRESSION; R PACKAGE; RISK; OUTCOMES; BLOOD; DYSFUNCTION; CHILDHOOD;
D O I
10.3389/fcell.2021.694769
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Background Assisted reproductive technology (ART) might induce adverse pregnancy outcomes and increase the risk of metabolic diseases in offspring' later life with unknown reasons. Here we evaluated the global methylation level and methylation profile of fetal tissue from elective terminations of pregnancy (ETP) after natural conception and multifetal pregnancy reduction (MFPR) after in vitro fertilization and embryo transfer (IVF-ET). Results Global methylation levels were comparable between the fetal tissue of ETP after natural conception group and MFPR after IVF-ET group. The methylation levels were lower in the hypermethylated regions of the MFPR group than in the ETP group, while the methylation levels were higher in the hypomethylated regions of the MFPR group. Heatmap visualization and hierarchical clustering of the candidate differentially methylated regions (DMRs) showed differences between the DMRs in the ETP and MFPR samples. We identified 196 differentially methylated regions that matched 164 genes between the ETP and MFPR groups. In the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, skeletal system morphogenesis and diabetes mellitus ranked first. Ingenuity Pathway Analysis (IPA) revealed 8 diseases and functional annotations associated with IVT-ET. In the MFPR group, the final validation showed lower methylation levels in gene bodies of bone morphogenetic protein 4 (BMP4), higher methylation levels in the 1st exon and 5 ' UTR of thyroid peroxidase (TPO), and higher methylation levels in TSS1500 and TSS200 of interleukin 1 beta (IL1B). Conclusions ART does not alter global DNA methylation level, but influences DNA methylation variation in specific regions of human fetus in the early stage of life. Further studies are warranted to clarify the potential role of DNA methylation alterations in the gene expression profile.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Integrative In Silico Analysis of Genome-Wide DNA Methylation Profiles in Schizophrenia
    Forero, Diego A.
    Gonzalez-Giraldo, Yeimy
    [J]. JOURNAL OF MOLECULAR NEUROSCIENCE, 2020, 70 (11) : 1887 - 1893
  • [32] Quantitative comparison of genome-wide DNA methylation mapping technologies
    Bock, Christoph
    Tomazou, Eleni M.
    Brinkman, Arie B.
    Mueller, Fabian
    Simmer, Femke
    Gu, Hongcang
    Jaeger, Natalie
    Gnirke, Andreas
    Stunnenberg, Hendrik G.
    Meissner, Alexander
    [J]. NATURE BIOTECHNOLOGY, 2010, 28 (10) : 1106 - U196
  • [33] Quantitative comparison of genome-wide DNA methylation mapping technologies
    Christoph Bock
    Eleni M Tomazou
    Arie B Brinkman
    Fabian Müller
    Femke Simmer
    Hongcang Gu
    Natalie Jäger
    Andreas Gnirke
    Hendrik G Stunnenberg
    Alexander Meissner
    [J]. Nature Biotechnology, 2010, 28 : 1106 - 1114
  • [34] ALTERED GENOME-WIDE DNA METHYLATION IN THE CORD BLOOD OF ASSISTED REPRODUCTIVE TECHNOLOGY CONCEIVED NEONATES
    Louie, K.
    Ma, S.
    [J]. FERTILITY AND STERILITY, 2015, 104 (03) : E189 - E189
  • [35] Genome-Wide Analysis of DNA Methylation in Buccal Cells of Children Conceived through IVF and ICSI
    Ducreux, Bastien
    Frappier, Jean
    Bruno, Celine
    Doukani, Abiba
    Guilleman, Magali
    Simon, Emmanuel
    Martinaud, Aurelie
    Bourc'his, Deborah
    Barberet, Julie
    Fauque, Patricia
    [J]. GENES, 2021, 12 (12)
  • [36] Genome-wide characterization of mitochondrial DNA methylation in human brain
    Devall, Matthew
    Soanes, Darren M.
    Smith, Adam R.
    Dempster, Emma L.
    Smith, Rebecca G.
    Burrage, Joe
    Iatrou, Artemis
    Hannon, Eilis
    Troakes, Claire
    Moore, Karen
    O'Neill, Paul
    Al-Sarraj, Safa
    Schalkwyk, Leonard
    Mill, Jonathan
    Weedon, Michael
    Lunnon, Katie
    [J]. FRONTIERS IN ENDOCRINOLOGY, 2023, 13
  • [37] Genome-wide analysis of DNA methylation changes in human malignancies
    Plass, C.
    Smiraglia, D. J.
    [J]. DNA METHYLATION: DEVELOPMENT, GENETIC DISEASE AND CANCER, 2006, 310 : 179 - 198
  • [38] GENOME-WIDE PROFILING OF DNA METHYLATION IN HUMAN ATHEROSCLEROTIC PLAQUES
    Nazarenko, M. S.
    Markov, A. V.
    Sleptcov, A. A.
    Lebedev, I. N.
    Frolov, A. V.
    Barbarash, O. L.
    Puzyrev, V. P.
    [J]. ATHEROSCLEROSIS, 2015, 241 (01) : E84 - E85
  • [39] Genome-wide profiling of DNA methylation in human cancer cells
    Ogoshi, Katsumi
    Hashimoto, Shin-ichi
    Nakatani, Yoichiro
    Qu, Wei
    Oshima, Kenshiro
    Tokunaga, Katsushi
    Sugano, Sumio
    Hattori, Masahira
    Morishita, Shinichi
    Matsushima, Kouji
    [J]. GENOMICS, 2011, 98 (04) : 280 - 287
  • [40] Methods for genome-wide DNA methylation analysis in human cancer
    Fan, Shicai
    Chi, Wenming
    [J]. BRIEFINGS IN FUNCTIONAL GENOMICS, 2016, 15 (06) : 432 - 442