Epigenetic signatures of maternal-fetal health: insights from cord blood and placenta

The placenta is vital for fetal growth, and its methylation patterns reflect placental function, affecting the fetus and providing insights into disease origins. While cord blood methylation is convenient for assessing the fetal environment, methylation profiles vary by tissue due to variance in cell populations, function, and life stage. As tissue differences extensively contribute to the DNA methylation patterns, using surrogate samples such as cord blood may result in inconsistent findings. In this study, we aim to quantify the correlation of <i>cytosine-phosphate-guanine dinucleotides (CpGs) between paired cord blood and placenta</i> samples. Using the Infinium Human Methylation 450 K BeadChip, we compared methylation patterns in cord blood mononuclear cells (CBMC; <i>n</i> = 54), the maternally-facing side of placental tissue (MP; <i>n</i> = 68), and the fetal-facing side of placental tissue (FP; <i>n</i> = 67). Methylation patterns from the FP (6,021 CpGs) were significantly correlated with CBMC compared to the MP (2,862 CpGs). These CpGs were related to the biological (mitotic cell) process and molecular function (ribonucleoprotein complex binding). Our findings quantified CpG site correlation between cord blood and placenta, providing a valuable reference for future studies on placental health that rely on cord blood methylation in the absence of placental biospecimens.

Authors

Institutions

Publication Details

Journal
Epigenetics
Published
2025-05-23
DOI
https://doi.org/10.1080/15592294.2025.2508067
Citations
1
Primary Topic
Birth, Development, and Health
Type
article
Field-Weighted Citation Impact
3.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epigenetic signatures of maternal-fetal health: insights from cord blood and placenta

Jagadeesh Puvvula, Shouxiong Huang, Zana Percy, Shuk‐Mei Ho et al.
1 citations
Epigenetics
Birth, Development, and Health
3.49
article

Epigenetic signatures of maternal-fetal health: insights from cord blood and placenta

Jagadeesh Puvvula, Shouxiong Huang, Zana Percy, Shuk‐Mei Ho, Stephani S. Kim, Emily A. DeFranco, Yuet‐Kin Leung, Ann M. Vuong, Xiang Zhang, Aimin Chen, Joseph M. Braun
article en
1 citations

Abstract

The placenta is vital for fetal growth, and its methylation patterns reflect placental function, affecting the fetus and providing insights into disease origins. While cord blood methylation is convenient for assessing the fetal environment, methylation profiles vary by tissue due to variance in cell populations, function, and life stage. As tissue differences extensively contribute to the DNA methylation patterns, using surrogate samples such as cord blood may result in inconsistent findings. In this study, we aim to quantify the correlation of <i>cytosine-phosphate-guanine dinucleotides (CpGs) between paired cord blood and placenta</i> samples. Using the Infinium Human Methylation 450 K BeadChip, we compared methylation patterns in cord blood mononuclear cells (CBMC; <i>n</i> = 54), the maternally-facing side of placental tissue (MP; <i>n</i> = 68), and the fetal-facing side of placental tissue (FP; <i>n</i> = 67). Methylation patterns from the FP (6,021 CpGs) were significantly correlated with CBMC compared to the MP (2,862 CpGs). These CpGs were related to the biological (mitotic cell) process and molecular function (ribonucleoprotein complex binding). Our findings quantified CpG site correlation between cord blood and placenta, providing a valuable reference for future studies on placental health that rely on cord blood methylation in the absence of placental biospecimens.

EpigeneticsVol. 20(1)
Texas Biomedical Research Institute (US), Battelle (US), University of Nevada, Las Vegas (US), University of Nevada, Reno (US), University of Kentucky (US), John Brown University (US), Brown University (US), California University of Pennsylvania (US), University of Cincinnati (US), University of Pennsylvania (US), University of Arkansas for Medical Sciences (US), University of Cincinnati Medical Center (US)
National Science Foundation, University of Pennsylvania, University of Cincinnati, National Institute of Environmental Health Sciences
Zero hunger
Openalex Percentile: Top 10%
Birth, Development, and Health
3.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.