Ligand Inter‐Relation Analysis Via Graph Theory Predicts Macrophage Response

• DOI: 10.1002/adma.202414356
• Publication Date: 2024-12-25T04:26:16Z
• Authors: Nayeon Kang; Jangsun Hwang; Daun Jeong; Ji Hye Choi; Ramar Thangam; Sunhong Min; Hyunsik Hong; Dahee Kim; Hyunji Rha; Sungkyu Lee; Hwapyung Jung; Taeeon Kim; Iman Zare; Hee Joon Jung; Alireza Hassani N...; Hyun‐Do Jung; Kunyu Zhang; Pengchao Zhao; Liming Bian; Hong‐Kyu Kim; Jong Seung Kim; Guosheng Song; Juyoung Yoon; Sung‐Gyu Park; Woo Young Jang; Heemin Kang
• Keywords: 0303 health sciences; 03 medical and health sciences

Abstract Graph theory has been widely used to quantitatively analyze complex networks of molecules, materials, and cells. Analyzing the dynamic structure extracellular matrix can predict cell‐material interactions but not yet demonstrated. In this study, graph theory‐based mathematical modeling RGD ligand inter‐relation is demonstrated by differentially cutting off RGD‐to‐RGD interlinkages with flexibly conjugated magnetic nanobars (MNBs) tunable aspect ratio. The are less effectively cut MNBs a lower ratio, which decreases shortest path while increasing number instances thereof, thereby augmenting nano inter‐relation. This facilitates integrin recruitment macrophages thus actin fiber assembly vinculin expression, mediates pro‐regenerative polarization, involving myosin II, polymerization, rho‐associated protein kinase. Unidirectional pre‐aligning or reversibly lifting highly elongated both increase inter‐relation, promotes host macrophage adhesion switches their polarization from pro‐inflammatory phenotype. latter approach produces nano‐spaces through penetrate establish links thereunder. Using theory, study presents example mathematically functionality extracellular‐matrix‐mimetic help elucidate dynamics occurring between cells materials via versatile geometrical nano‐engineering.