Trapecar Martin
Department of Medicine, Johns Hopkins University School of Medicine, Institute for Fundamental Biomedical Research, Johns Hopkins All Children's Hospital, St. Petersburg, FL, USA.
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
FEBS Lett. 2022 Mar;596(5):681-695. doi: 10.1002/1873-3468.14260. Epub 2021 Dec 28.
Metabolic and inflammatory disorders such as autoimmune and neurodegenerative diseases are increasing at alarming rates. Many of these are not tissue-specific occurrences but complex, systemic pathologies of unknown origin for which no cure exists. Such complexity obscures causal relationships among factors regulating disease progression. Emerging technologies mimicking human physiology, such as microphysiological systems (MPSs), offer new possibilities to provide clarity in systemic metabolic and inflammatory diseases. Controlled interaction of multiple MPSs and the scalability of biological complexity in MPSs, supported by continuous multiomic monitoring, might hold the key to identifying novel relationships between interorgan crosstalk, metabolism, and immunity. In this perspective, I aim to discuss the current state of modeling multiorgan physiology and evaluate current opportunities and challenges.
自身免疫性疾病和神经退行性疾病等代谢和炎症性疾病正以惊人的速度增加。其中许多并非组织特异性疾病，而是病因不明的复杂全身性疾病，目前尚无治愈方法。这种复杂性掩盖了调节疾病进展的因素之间的因果关系。新兴的模拟人体生理学的技术，如微生理系统（MPS），为阐明全身性代谢和炎症性疾病提供了新的可能性。在连续多组学监测的支持下，多个MPS的可控相互作用以及MPS中生物复杂性的可扩展性，可能是识别器官间串扰、代谢和免疫之间新关系的关键。从这个角度出发，我旨在讨论多器官生理学建模的现状，并评估当前的机遇和挑战。
