| Literature DB >> 35978444 |
Satoru Kawakita1, Kalpana Mandal1, Lei Mou1,2, Marvin Magan Mecwan1, Yangzhi Zhu1, Shaopei Li1, Saurabh Sharma1, Ana Lopez Hernandez1, Huu Tuan Nguyen1, Surjendu Maity1, Natan Roberto de Barros1, Aya Nakayama1, Praveen Bandaru1, Samad Ahadian1, Han-Jun Kim1, Rondinelli Donizetti Herculano1,3, Eggehard Holler1, Vadim Jucaud1, Mehmet Remzi Dokmeci1, Ali Khademhosseini1.
Abstract
The human brain and central nervous system (CNS) present unique challenges in drug development for neurological diseases. One major obstacle is the blood-brain barrier (BBB), which hampers the effective delivery of therapeutic molecules into the brain while protecting it from blood-born neurotoxic substances and maintaining CNS homeostasis. For BBB research, traditional in vitro models rely upon Petri dishes or Transwell systems. However, these static models lack essential microenvironmental factors such as shear stress and proper cell-cell interactions. To this end, organ-on-a-chip (OoC) technology has emerged as a new in vitro modeling approach to better recapitulate the highly dynamic in vivo human brain microenvironment so-called the neural vascular unit (NVU). Such BBB-on-a-chip models have made substantial progress over the last decade, and concurrently there has been increasing interest in modeling various neurological diseases such as Alzheimer's disease and Parkinson's disease using OoC technology. In addition, with recent advances in other scientific technologies, several new opportunities to improve the BBB-on-a-chip platform via multidisciplinary approaches are available. In this review, an overview of the NVU and OoC technology is provided, recent progress and applications of BBB-on-a-chip for personalized medicine and drug discovery are discussed, and current challenges and future directions are delineated.Entities:
Keywords: blood-brain barriers; disease modeling; drug discovery; organ-on-a-chips; personalized medicine
Mesh:
Year: 2022 PMID: 35978444 PMCID: PMC9529899 DOI: 10.1002/smll.202201401
Source DB: PubMed Journal: Small ISSN: 1613-6810 Impact factor: 15.153