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Reshaping the chromatin landscape in HUVECs from small-for-gestational-age newborns
Lingling Yan, … , Liang Gong, Yanfen Zhu
Lingling Yan, … , Liang Gong, Yanfen Zhu
Published April 22, 2025
Citation Information: JCI Insight. 2025;10(8):e186812. https://doi.org/10.1172/jci.insight.186812.
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Research Article Angiogenesis Cardiology

Reshaping the chromatin landscape in HUVECs from small-for-gestational-age newborns

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Abstract

Small for gestational age (SGA), with increased risk of adult-onset cardiovascular diseases and metabolic syndromes, is known to associate with endothelial dysfunction, but the pathogenic mechanisms remain unclear. In this study, the pathological state of human umbilical vein endothelial cells (HUVECs) from SGA individuals was characterized by presenting increased angiogenesis, migration, proliferation, and wound healing ability relative to their normal counterparts. Genome-wide mapping of transcriptomes and open chromatins unveiled global gene expression alterations and chromatin remodeling in SGA-HUVECs. Specifically, we revealed increased chromatin accessibility at active enhancers, along with dysregulation of genes associated with angiogenesis, and further identified CD44 as the key gene driving HUVECs’ dysfunction by regulating pro-angiogenic genes’ expression and activating phosphorylated ERK1/2 and phosphorylated endothelial NOS expression in SGA. In SGA-HUVECs, CD44 was abnormally upregulated by 3 active enhancers that displayed increased chromatin accessibility and interacted with CD44 promoter. Subsequent motif analysis uncovered activating protein-1 (AP-1) as a crucial transcription factor regulating CD44 expression by binding to CD44 promoter and associated enhancers. Enhancers CRISPR interference and AP-1 inhibition restored CD44 expression and alleviated the hyperangiogenesis of SGA-HUVECs. Together, our study provides a foundational understanding of the epigenetic alterations driving pathological angiogenesis and offers potential therapeutic insights into addressing endothelial dysfunction in SGA.

Authors

Lingling Yan, Zhimin Zhou, Shengcai Chen, Xin Feng, Junwen Mao, Fang Luo, Jianfang Zhu, Xiuying Chen, Yingying Hu, Yuan Wang, Bingbing Wu, Lizhong Du, Chunlin Wang, Liang Gong, Yanfen Zhu

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Figure 2

Dysregulation of angiogenic genes in SGA-HUVECs.

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Dysregulation of angiogenic genes in SGA-HUVECs.
(A) Clustering of RNA-S...
(A) Clustering of RNA-Seq data by correlation of fragments per kilobase million (FPKM) between samples. (B) PCA of RNA-Seq data based on FPKM values. (C) Heatmap of the normalized expression of the 399 DEGs in SGA relative to AGA. Selected genes are labeled. Red color indicates upregulation and blue color indicates downregulation. (D) Validation of RNA-Seq data by RT-qPCR. Relative expression of 10 selected genes in 4 biological replicates were displayed. *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001. (E) The top 20 significantly enriched GO terms of biological process in DEGs with the FDR < 0.05. (F) PPI subnetwork with CD44 as hub nodes. First neighbors of hub nodes were shown. The thicker the edge, the higher the combined score between 2 nodes. (G) Representative IHC images of paraffin-embedded umbilical cord samples using CD44 antibody. Arrows indicate HUVECs with high CD44 expression; scale bars: 200 μm (upper) and 25 μm (lower). (H) Analysis of percentage of CD44-positive cells in intima of umbilical veins from AGA and SGA; n = 4 per group. (I and J) Analysis of Western blot showing the high CD44 protein levels in HUVECs from SGA relative to AGA; n = 6 per group. The data in D, H, and I are presented as mean ± SEM and were analyzed using 2-tailed unpaired Student’s t test.

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