A Microscale Human Liver Platform that Supports the Hepatic Stages of Plasmodium falciparum and vivax
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Author(s)
March-Riera, Sandra
Ng, Shengyong
Velmurugan, Soundarapandian
Galstian, Ani
Shan, Jing
Logan, David J.
Carpenter, Anne E.
Thomas, David
Sim, B. Kim Lee
Mota, Maria M.
Date Issued
July 2013
Journal
Cell Host & Microbe
Publisher
Elsevier
Citation
March, Sandra, Shengyong Ng, Soundarapandian Velmurugan, Ani Galstian, Jing Shan, David J. Logan, Anne E. Carpenter, et al. “A Microscale Human Liver Platform That Supports the Hepatic Stages of Plasmodium Falciparum and Vivax.” Cell Host & Microbe 14, no. 1 (July 2013): 104–115.
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Author's final manuscript
Abstract
The Plasmodium liver stage is an attractive target for the development of antimalarial drugs and vaccines, as it provides an opportunity to interrupt the life cycle of the parasite at a critical early stage. However, targeting the liver stage has been difficult. Undoubtedly, a major barrier has been the lack of robust, reliable, and reproducible in vitro liver-stage cultures. Here, we establish the liver stages for both Plasmodium falciparum and Plasmodium vivax in a microscale human liver platform composed of cryopreserved, micropatterned human primary hepatocytes surrounded by supportive stromal cells. Using this system, we have successfully recapitulated the full liver stage of P. falciparum, including the release of infected merozoites and infection of overlaid erythrocytes, as well as the establishment of small forms in late liver stages of P. vivax. Finally, we validate the potential of this platform as a tool for medium-throughput antimalarial drug screening and vaccine development.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Whitaker College of Health Sciences and Technology
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Koch Institute for Integrative Cancer Research at MIT
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DOI of Published Version
https://doi.org/10.1016/j.chom.2013.06.005
