Evidence map›Paper›PMID 33564054›Full record

Trial reportScientific reports2021

Identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data.

Kohei Kashima, Tomoko Kawai, Riki Nishimura, Yuh Shiwa, Kevin Y Urayama, Hiromi Kamura, Kazue Takeda, Saki Aoto, Atsushi Ito, Keiko Matsubara and 13 more

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  13. Multi-omics Integrative Analysis for Incomplete Data Using WeightedJournal of agricultural, biological, and environmental statistics · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors at 6 institutions in 1 country.

Kohei Kashima *Department of Pediatrics, The University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. KASHIMAK-PED@h.u-tokyo.ac.jp.
Tomoko Kawai *Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan.
Riki NishimuraDepartment of Pediatrics, The University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Yuh ShiwaDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan.
Kevin Y UrayamaDepartment of Social Medicine, National Research Institute for Child Health and Development, Tokyo, Japan.
Hiromi KamuraDepartment of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan.
Kazue TakedaDepartment of Allergy and Clinical Immunology, National Research Institute for Child Health and Development, Tokyo, Japan.
Saki AotoMedical Genome Center, National Research Institute for Child Health and Development, Tokyo, Japan.
Atsushi ItoDepartment of Pediatrics, The University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Keiko MatsubaraDepartment of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo, Japan.
Takeshi NagamatsuDepartment of Obstetrics and Gynecology, The University of Tokyo Hospital, Tokyo, Japan.
Tomoyuki FujiiDepartment of Obstetrics and Gynecology, The University of Tokyo Hospital, Tokyo, Japan.
Isaku OmoriDepartment of Neonatology, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan.
Mitsumasa ShimizuDepartment of Neonatology, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan.
Hironobu HyodoDepartment of Obstetrics and Gynecology, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan.
Koji KuguDepartment of Obstetrics and Gynecology, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan.
Kenji MatsumotoDepartment of Allergy and Clinical Immunology, National Research Institute for Child Health and Development, Tokyo, Japan.
Atsushi ShimizuDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan.
Akira OkaDepartment of Pediatrics, The University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Masashi MizuguchiDepartment of Developmental Medical Sciences, The University of Tokyo, Tokyo, Japan.
Kazuhiko NakabayashiDepartment of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan.
Kenichiro HataDepartment of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan.
Naoto TakahashiDepartment of Pediatrics, The University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
National Center For Child Health and Development · JPUniversity of Tokyo Hospital · JPTokyo Metropolitan Bokutoh Hospital · JPTohoku Medical Megabank Organization · JPSt. Luke's International University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Databases, Nucleic AcidDNA MethylationEpigenesis, GeneticEpigenomeGestational AgeAdultCross-Sectional StudiesFemaleGenome-Wide Association StudyHumansInfant, NewbornInfant, PrematurePregnancyProspective Studies

Identifiers

PMID33564054
PMCPMC7873311
OpenAlexW3128049840

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.