Sangam: A Confluence of Knowledge Streams

Mass-encoded synthetic biomarkers for multiplexed urinary monitoring of disease

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dc.contributor Massachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.contributor Harvard University--MIT Division of Health Sciences and Technology
dc.contributor Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor Koch Institute for Integrative Cancer Research at MIT
dc.contributor Bhatia, Sangeeta N.
dc.contributor Kwong, Gabriel A.
dc.contributor von Maltzhan, Geoffrey
dc.contributor Murugappan, Gayathree
dc.contributor Abudayyeh, Omar
dc.contributor Mo, Steven
dc.contributor Warren, Andrew D.
dc.contributor Papayannopoulos, Ioannis A.
dc.contributor Bhatia, Sangeeta N.
dc.creator von Maltzahn, Geoffrey
dc.creator Murugappan, Gayathree
dc.creator Mo, Steven
dc.creator Sverdlov, Deanna Y
dc.creator Liu, Susan B
dc.creator Popov, Yury
dc.creator Schuppan, Detlef
dc.creator Kwong, Gabriel A.
dc.creator Warren, Andrew D.
dc.creator Papayannopoulos, Ioannis A.
dc.creator von Maltzhan, Geoffrey
dc.creator Abudayyeh, Omar O.
dc.creator Bhatia, Sangeeta N
dc.date 2014-04-11T16:16:19Z
dc.date 2014-04-11T16:16:19Z
dc.date 2012-12
dc.date 2011-12
dc.date.accessioned 2023-03-01T18:05:52Z
dc.date.available 2023-03-01T18:05:52Z
dc.identifier 1087-0156
dc.identifier 1546-1696
dc.identifier http://hdl.handle.net/1721.1/86111
dc.identifier Kwong, Gabriel A, Geoffrey von Maltzahn, Gayathree Murugappan, Omar Abudayyeh, Steven Mo, Ioannis A Papayannopoulos, Deanna Y Sverdlov, et al. “Mass-Encoded Synthetic Biomarkers for Multiplexed Urinary Monitoring of Disease.” Nature Biotechnology 31, no. 1 (December 16, 2012): 63–70.
dc.identifier https://orcid.org/0000-0002-1293-2097
dc.identifier https://orcid.org/0000-0003-1948-0289
dc.identifier https://orcid.org/0000-0002-7979-3220
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/278735
dc.description Biomarkers are becoming increasingly important in the clinical management of complex diseases, yet our ability to discover new biomarkers remains limited by our dependence on endogenous molecules. Here we describe the development of exogenously administered 'synthetic biomarkers' composed of mass-encoded peptides conjugated to nanoparticles that leverage intrinsic features of human disease and physiology for noninvasive urinary monitoring. These protease-sensitive agents perform three functions in vivo: they target sites of disease, sample dysregulated protease activities and emit mass-encoded reporters into host urine for multiplexed detection by mass spectrometry. Using mouse models of liver fibrosis and cancer, we show that these agents can noninvasively monitor liver fibrosis and resolution without the need for invasive core biopsies and substantially improve early detection of cancer compared with current clinically used blood biomarkers. This approach of engineering synthetic biomarkers for multiplexed urinary monitoring should be broadly amenable to additional pathophysiological processes and point-of-care diagnostics.
dc.description National Institutes of Health (U.S.) (Bioengineering Research Partnership R01 CA124427)
dc.description Kathy and Curt Marble Cancer Research Fund
dc.description National Institutes of Health (U.S.). Ruth L. Kirschstein National Research Service Award (F32CA159496-01)
dc.format application/pdf
dc.language en_US
dc.publisher Nature Publishing Group
dc.relation http://dx.doi.org/10.1038/nbt.2464
dc.relation Nature Biotechnology
dc.rights Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.source PMC
dc.title Mass-encoded synthetic biomarkers for multiplexed urinary monitoring of disease
dc.type Article
dc.type http://purl.org/eprint/type/JournalArticle


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