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  4. Platform for micro-invasive membrane-free biochemical sampling of brain interstitial fluid

Platform for micro-invasive membrane-free biochemical sampling of brain interstitial fluid

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sword-2021-03-19T15:11:12.original.xml (130 B)
Original SWORD entry document
Author(s)
Raman, Ritu
•
Rousseau, Erin Byrne
•
Wade, Michael
•
Tong, Allison
•
Cotler, Max Joseph
•
Kuang, Jenevieve
•
Lugo, Alejandro Aponte
•
Zhang, Elizabeth Y.
•
Graybiel, Ann M
•
White, Forest M.
more
Date Issued
September 2020
Journal
Science Advances
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Raman, Ritu et al. "Platform for micro-invasive membrane-free biochemical sampling of brain interstitial fluid." Science Advances 6, 39 (September 2020): eabb0657 © 2020 American Association for the Advancement of Science
Version
Final published version
Abstract
Neurochemical dysregulation underlies many pathologies and can be monitored by measuring the composition of brain interstitial fluid (ISF). Existing in vivo tools for sampling ISF do not enable measuring large rare molecules, such as proteins and neuropeptides, and thus cannot generate a complete picture of the neurochemical connectome. Our micro-invasive platform, composed of a nanofluidic pump coupled to a membrane-free probe, enables sampling multiple neural biomarkers in parallel. This platform outperforms the state of the art in low-flow pumps by offering low volume control (single stroke volumes, <3 nl) and bidirectional fluid flow (<100 nl/min) with negligible dead volume (<30 nl) and has been validated in vitro, ex vivo, and in vivo in rodents. ISF samples (<1.5 μL) can be processed via liquid chromatography-tandem mass spectrometry. These label-free liquid biopsies of the brain could yield a deeper understanding of the onset, mechanism, and progression of diverse neural pathologies.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Center for Precision Cancer Medicine
McGovern Institute for Brain Research at MIT
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution NonCommercial License 4.0
https://creativecommons.org/licenses/by-nc/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/130467
DOI of Published Version
https://doi.org/10.1126/sciadv.abb0657
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