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Lineage-Driven Understanding of Human Pericyte Heterogeneity in Vascular Modeling and Regeneration
Seungyeon Lee1, Chan Mi Baek1, Somin Lee1,2
1Department of Precision Medicine, Graduate School, Kyung Hee University, Seoul, Korea.
Abstract:
Pericytes are mural cells embedded within the microvascular wall that regulate endothelial stabilization, angiogenesis, and vascular permeability. Once regarded as a relatively uniform vascular support population, pericytes are now recognized as quantitatively and functionally heterogeneous across organs. Neural barrier beds such as brain and retina exhibit high pericyte density and near-continuous mural coverage, whereas peripheral tissues including skeletal muscle display sparse investment. These anatomical differences parallel functional specialization, with central nervous system pericytes exerting strong control over blood-brain barrier (BBB) integrity and transcytosis, while peripheral pericytes participate prominently in vascular remodeling and repair. A critical yet under-integrated dimension of this heterogeneity is developmental origin. Trunk and visceral pericytes arise predominantly from mesodermal progenitors, whereas cranial and forebrain-associated pericytes derive largely from neural crest lineage. This spatial segregation of embryonic origin aligns with vascular specialization, suggesting that lineage contributes to mural regulatory architecture. Stem cell-based comparisons further demonstrate that neural crest-derived pericyte-like cells induce BBB phenotypes more effectively than mesoderm-derived counterparts under identical endothelial conditions, supporting a lineage-linked functional bias. This review integrates anatomical distribution, quantitative investment patterns, molecular signaling mechanisms, and embryonic lineage into a unified framework of pericyte heterogeneity. We propose that developmental origin establishes a regulatory foundation upon which vascular niche signals act, and should therefore be treated as a primary experimental and translational design variable in vascular modeling and regenerative strategies.
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