A novel way for microvascular network pattern formation based on a pre-pattern guidance mechanism

Ying Fu, Mingzhu Sun, Xin Zhao and Shan Guo

Chaos, Solitons & Fractals, 2024, vol. 186, issue C

Abstract: The microvascular network is a vital tissue structure in animals, and its high spatial utilization of reticular pattern structure is an essential guarantee for material exchange and nutrient transmission, which is crucial for tissue development, maintenance of metabolism and other life activities. However, the formation process of microvascular network pattern completion is still unclear. Based on Turing reaction-diffusion theory, this study introduces a way for generating microvascular network patterns guided by morphogen pre-patterns within a matrix environment. This approach realizes network patterns at three levels: morphogen networks at the molecular level, differentiated cell networks at the cellular level, and vascular networks influenced by the matrix environment at the tissue level. Thus, the study elucidates a complete process of microvascular network formation spanning from molecular to cellular to tissue levels and investigates parameter conditions conducive to microvascular network pattern formation. The method of network pattern formation introduced in this paper offers a new research angle for investigating the development of reticular pattern structures and related pathological studies in the biomedical field.

Keywords: Microvascular network; Growth factor; Mathematical modeling; Turing reaction diffusion theory; Pattern formation (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077924008749
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:186:y:2024:i:c:s0960077924008749

DOI: 10.1016/j.chaos.2024.115322

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().