Leveraging the Materiobiology Approach to Design Biomaterials for Aged Bone Repair

In the elderly, a multitude of factors contribute to diminished bone regeneration capabilities, including a reduction in the self-renewal and differentiation abilities of mesenchymal stem cells, an excessive accumulation of inflammatory signals, compromised blood vessel regeneration capacity, an imbalance between bone anabolism and catabolism, and inadequate bone innervation. While biomaterials have enhanced the therapeutic outcomes for bone regeneration, their efficacy is notably reduced in the context of aged bone regeneration. Consequently, it is imperative to devise new biomaterial design strategies specifically aimed at rejuvenating aged bone.

In the realm of aged bone repair, materiobiology emphasizes the meticulous modulation and restoration of biological functions at various levels-;cellular, tissue, organ, and organism-;through the use of functionalized biomaterials. This approach leverages a systematic amalgamation of 'elements' from the biomaterial 'toolbox', which encompasses biochemical factors (such as growth factors, polypeptides, chemical and biological drugs, and genes) and tailored biophysical effects (including composition, mechanical properties, two-dimensional topography, three-dimensional geometry, as well as advanced delivery and fabrication technologies).

The authors comprehensively discuss the current characteristics of aged bone regeneration, typical 'elements' within the biomaterial 'toolbox', and the ongoing procedures for material design. To enhance the design of biomaterials for correcting disordered biological functions in aged bone, a 'toolbox' comprising various essential 'elements' has been established. Guided by this material design strategy, standard material design procedures can be summarized as follows: (1) identifying critical disordered biological functions as therapeutic targets for bone repair in the elderly; (2) based on the characteristics of the selected biological functions, synergistically combining 'elements' from the biomaterial 'toolbox' with artificial intelligence (AI) support; (3) optimizing the 'elements' of modular biomaterials for aged bone regeneration through iterative refinements of composition and structure using in vitro high-throughput fabrication and evaluation technologies; (4) conducting in vivo validation of the optimized biomaterials in small animals and non-human primates to facilitate clinical translation. Further refinement of this material design strategy focuses on uncovering new aspects of biological functions that impede aged bone regeneration and developing novel 'elements' targeting specific biological functions. The establishment of a specialized database to match specific biological functions with modular biomaterial 'elements' through artificial intelligence presents a promising avenue for accelerating aged bone regeneration.

As a nascent interdisciplinary field, materiobiology requires the involvement of researchers from diverse domains to expand its scope and depth continually. This involves elucidating the intrinsic connections between the fundamental physicochemical properties of materials and their biological functions and establishing reliable predictive models to foster a genuine convergence of materials with biology, thereby expediting the development process of biomaterials.

This review lists Kay Dai, an associate professor at East China University of Science and Technology; Zhen Geng, an associate professor at Shanghai University; and Wenchao Zhang, a doctoral student at East China University of Science and Technology, as its first authors. The corresponding authors are Changsheng Liu, an academician of Chinese academy, at East China University of Science and Technology; Jing Wang, a professor at the same institution, and Guangjun Nie, a distinguished professor at the National Center for Nanoscience and Technology.

Source:
Journal reference:

Dai, K., et al. (2024). Biomaterial design for regenerating aged bone: materiobiological advances and paradigmatic shifts. National Science Review/National Science Review. doi.org/10.1093/nsr/nwae076.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of AZoLifeSciences.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Disrupting a Gene Boosts T Cell Therapy, St. Jude Study Shows