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Identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data.
Kashima, Kohei; Kawai, Tomoko; Nishimura, Riki; Shiwa, Yuh; Urayama, Kevin Y; Kamura, Hiromi; Takeda, Kazue; Aoto, Saki; Ito, Atsushi; Matsubara, Keiko; Nagamatsu, Takeshi; Fujii, Tomoyuki; Omori, Isaku; Shimizu, Mitsumasa; Hyodo, Hironobu; Kugu, Koji; Matsumoto, Kenji; Shimizu, Atsushi; Oka, Akira; Mizuguchi, Masashi; Nakabayashi, Kazuhiko; Hata, Kenichiro; Takahashi, Naoto.
Affiliation
  • Kashima K; Department of Pediatrics, The University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. KASHIMAK-PED@h.u-tokyo.ac.jp.
  • Kawai T; Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan. KASHIMAK-PED@h.u-tokyo.ac.jp.
  • Nishimura R; Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan.
  • Shiwa Y; Department of Pediatrics, The University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Urayama KY; Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan.
  • Kamura H; Department of Social Medicine, National Research Institute for Child Health and Development, Tokyo, Japan.
  • Takeda K; Graduate School of Public Health, St. Luke's International University, Tokyo, Japan.
  • Aoto S; Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan.
  • Ito A; Department of Allergy and Clinical Immunology, National Research Institute for Child Health and Development, Tokyo, Japan.
  • Matsubara K; Medical Genome Center, National Research Institute for Child Health and Development, Tokyo, Japan.
  • Nagamatsu T; Department of Pediatrics, The University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Fujii T; Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo, Japan.
  • Omori I; Department of Obstetrics and Gynecology, The University of Tokyo Hospital, Tokyo, Japan.
  • Shimizu M; Department of Obstetrics and Gynecology, The University of Tokyo Hospital, Tokyo, Japan.
  • Hyodo H; Department of Neonatology, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan.
  • Kugu K; Department of Neonatology, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan.
  • Matsumoto K; Department of Obstetrics and Gynecology, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan.
  • Shimizu A; Department of Obstetrics and Gynecology, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan.
  • Oka A; Department of Allergy and Clinical Immunology, National Research Institute for Child Health and Development, Tokyo, Japan.
  • Mizuguchi M; Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan.
  • Nakabayashi K; Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan.
  • Hata K; Department of Pediatrics, The University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Takahashi N; Department of Developmental Medical Sciences, The University of Tokyo, Tokyo, Japan.
Sci Rep ; 11(1): 3381, 2021 02 09.
Article in En | MEDLINE | ID: mdl-33564054
ABSTRACT
Preterm birth is known to be associated with chronic disease risk in adulthood whereby epigenetic memory may play a mechanistic role in disease susceptibility. Gestational age (GA) is the most important prognostic factor for preterm infants, and numerous DNA methylation alterations associated with GA have been revealed by epigenome-wide association studies. However, in human preterm infants, whether the methylation changes relate to transcription in the fetal state and persist after birth remains to be elucidated. Here, we identified 461 transcripts associated with GA (range 23-41 weeks) and 2093 candidate CpG sites for GA-involved epigenetic memory through analysis of methylome (110 cord blood and 47 postnatal blood) and transcriptional data (55 cord blood). Moreover, we discovered the trends of chromatin state, such as polycomb-binding, among these candidate sites. Fifty-four memory candidate sites showed correlation between methylation and transcription, and the representative corresponding gene was UCN, which encodes urocortin.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gestational Age / DNA Methylation / Databases, Nucleic Acid / Epigenesis, Genetic / Epigenome Type of study: Clinical_trials / Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Newborn / Pregnancy Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Japan

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gestational Age / DNA Methylation / Databases, Nucleic Acid / Epigenesis, Genetic / Epigenome Type of study: Clinical_trials / Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Newborn / Pregnancy Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Japan