Review Volume 14, Issue 22 pp 9338—9383

Organotypic cultures as aging associated disease models

Martina M. Sanchez1, *, , Isabella A. Bagdasarian1, *, , William Darch1, , Joshua T. Morgan1, ,

  • 1 Department of Bioengineering, University of California, Riverside, CA 92521, USA
* Equal contribution

Received: July 15, 2022       Accepted: October 21, 2022       Published: November 22, 2022      

https://doi.org/10.18632/aging.204361
How to Cite

Copyright: © 2022 Sanchez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Aging remains a primary risk factor for a host of diseases, including leading causes of death. Aging and associated diseases are inherently multifactorial, with numerous contributing factors and phenotypes at the molecular, cellular, tissue, and organismal scales. Despite the complexity of aging phenomena, models currently used in aging research possess limitations. Frequently used in vivo models often have important physiological differences, age at different rates, or are genetically engineered to match late disease phenotypes rather than early causes. Conversely, routinely used in vitro models lack the complex tissue-scale and systemic cues that are disrupted in aging. To fill in gaps between in vivo and traditional in vitro models, researchers have increasingly been turning to organotypic models, which provide increased physiological relevance with the accessibility and control of in vitro context. While powerful tools, the development of these models is a field of its own, and many aging researchers may be unaware of recent progress in organotypic models, or hesitant to include these models in their own work. In this review, we describe recent progress in tissue engineering applied to organotypic models, highlighting examples explicitly linked to aging and associated disease, as well as examples of models that are relevant to aging. We specifically highlight progress made in skin, gut, and skeletal muscle, and describe how recently demonstrated models have been used for aging studies or similar phenotypes. Throughout, this review emphasizes the accessibility of these models and aims to provide a resource for researchers seeking to leverage these powerful tools.

Abbreviations

HSE: Human skin equivalent; AAD: Aging associated disease; ECM: Extracellular Matrix.