Implantable Nanosensors for Human Steroid Hormone Sensing In Vivo Using a Self-Templating Corona Phase Molecular Recognition
AuthorsLee, Michael A.
Bakh, Naveed Ali
Nguyen, Freddy T.
Silmore, Kevin S.
Jones, Kelvin K.
Strano, Michael S
KAUST Grant NumberOSR-2015 Sensors 2707
Embargo End Date2021-09-16
Permanent link to this recordhttp://hdl.handle.net/10754/667362
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AbstractDynamic measurements of steroid hormones in vivo are critical, but steroid sensing is currently limited by the availability of specific molecular recognition elements due to the chemical similarity of these hormones. In this work, a new, self-templating synthetic approach is applied using corona phase molecular recognition (CoPhMoRe) targeting the steroid family of molecules to produce near infrared fluorescent, implantable sensors. A key limitation of CoPhMoRe has been its reliance on library generation for sensor screening. This problem is addressed with a self-templating strategy of polymer design, using the examples of progesterone and cortisol sensing based on a styrene and acrylic acid copolymer library augmented with an acrylated steroid. The pendant steroid attached to the corona backbone is shown to self-template the phase, providing a unique CoPhMoRE design strategy with high efficacy. The resulting sensors exhibit excellent stability and reversibility upon repeated analyte cycling. It is shown that molecular recognition using such constructs is viable even in vivo after sensor implantation into a murine model by employing a poly (ethylene glycol) diacrylate (PEGDA) hydrogel and porous cellulose interface to limit nonspecific absorption. The results demonstrate that CoPhMoRe templating is sufficiently robust to enable a new class of continuous, in vivo biosensors.
CitationLee, M. A., Wang, S., Jin, X., Bakh, N. A., Nguyen, F. T., Dong, J., … Strano, M. S. (2020). Implantable Nanosensors for Human Steroid Hormone Sensing In Vivo Using a Self-Templating Corona Phase Molecular Recognition. Advanced Healthcare Materials, 9(21), 2000429. doi:10.1002/adhm.202000429
SponsorsThis research was supported by the King Abdullah University of Science & Technology (OSR-2015 Sensors 2707) and Juvenile Diabetes Research Foundation United States of America (3-SRA-2017-426-A-N). The research was partially supported by an award from the Walmart Foundation and the Walmart Food Safety Collaboration Center in Beijing. F.T.N. is supported by the Arnold and Mabel Beckman Foundation through the Arnold O. Beckman Postdoctoral Fellowship. G.B. acknowledges the support of the Zuckerman STEM Leadership Program, the Israel Science Foundation (grant No. 456/18), and the Nicholas and Elizabeth Slezak Super Center for Cardiac Research and Biomedical Engineering at Tel Aviv University. K.S.S was supported by the Department of Energy Computational Science Graduate Fellowship program under grant DE-FG02-97ER25308.
JournalAdvanced Healthcare Materials