Journal
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
Volume -, Issue -, Pages -Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s10237-022-01635-9
Keywords
Osteoinductivity; Mechanobiology; Bone tissue regeneration; Design; Scaffold
Categories
Funding
- Ministry of Education (formerly the Ministry of Human Resource Development), Government of India
Ask authors/readers for more resources
This article discusses the correlation between biophysical stimulus and structural features of scaffolds, suggesting that the lack of understanding in this correlation limits the applicability of scaffolds for bone tissue regeneration. Therefore, a unified framework is needed to quantify the morphological features of scaffold micro-structure in order to enhance their osteoinductivity.
Biophysical stimulus quantifies the osteoinductivity of the scaffold concerning the mechanoregulatory mathematical models of scaffold-assisted cellular differentiation. Consider a set of independent structural variables ($) that comprises bulk porosity levels (phi) and a set of morphological features of the micro-structure (F) associated with scaffolds, i.e., $ = (phi boolean OR F). The literature suggests that biophysical stimulus (S) is a function of independent structural variables ($). Limited understanding of the functional correlation between biophysical stimulus and structural features results in the lack of the desired osteoinductivity in a scaffold. Consequently, it limits their broad applicability to assist bone tissue regeneration for treating critical-sized bone fractures. The literature indicates the existence of multi-dimensional independent design variable space as a probable reason for the general lack of osteoinductivity in scaffolds. For instance, known morphological features are the size, shape, orientation, continuity, and connectivity of the porous regions in the scaffold. It implies that the number of independent variables (n) is more than two, i.e., n >= 2, which interact and influence the magnitude of S in a unified manner. The efficiency of standard engineering design procedures to analyze the correlation between dependent variable (S) and independent variables ($) in 3D mutually orthogonal Cartesian coordinate system diminishes proportionally with the increase in the number of independent variables (n) (Deb in Optimization for engineering design-algorithms and examples, PHI Learning Private Limited, New Delhi, 2012). Therefore, there is an immediate need to devise a framework that has the potential to quantify the micro-structural's morphological features in a unified manner to increase the prospects of scaffold-assisted bone tissue regeneration.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available