Detection of Hypertension-Induced Changes in Erythrocytes by SERS Nanosensors
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Surface-enhanced Raman spectroscopy (SERS) is a promising tool that can be used in the detection of molecular changes triggered by disease development. Cardiovascular diseases (CVDs) are caused by multiple pathologies originating at the cellular level. The identification of these deteriorations can provide a better understanding of CVD mechanisms, and the monitoring of the identified molecular changes can be employed in the development of novel biosensor tools for early diagnostics. We applied plasmonic SERS nanosensors to assess changes in the properties of erythrocytes under normotensive and hypertensive conditions in the animal model. We found that spontaneous hypertension in rats leads (i) to a decrease in the erythrocyte plasma membrane fluidity and (ii) to a decrease in the mobility of the heme of the membrane-bound hemoglobin. We identified SERS parameters that can be used to detect pathological changes in the plasma membrane and submembrane region of erythrocytes.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 32 |
| Tidsskrift | Biosensors |
| Vol/bind | 12 |
| Udgave nummer | 1 |
| Antal sider | 11 |
| ISSN | 2079-6374 |
| DOI | |
| Status | Udgivet - 2022 |
Bibliografisk note
Funding Information:
E.I.N. and Z.V.B. acknowledge support from Russian Science Foundation for SERS experiments and preparations (RSF, grant number 21?74?00026). s-SNOM studies were funded by the Ministry of Science and Higher Education of the Russian Federation (Agreement No. 075?15?2021? 606) and the Russian Foundation for Basic Research (20?07?00475). A.A.S. thanks the Russian Science Foundation for the support used for AgNSS synthesis and SEM characterization (RSF, grant number 20?73?00257). N.A.B. acknowledges support from the Russian Foundation for Basic Research used for the development and the optimization of the Pyraman software for the spectrum analysis (RFBR, grant number 20?04?01011 a). This research has been partially supported by the Interdisciplinary Scientific and Educational School of Moscow University ?Molecular Technologies of the Living Systems and Synthetic Biology?.
Funding Information:
Funding: E.I.N. and Z.V.B. acknowledge support from Russian Science Foundation for SERS experiments and preparations (RSF, grant number 21–74–00026). s-SNOM studies were funded by the Ministry of Science and Higher Education of the Russian Federation (Agreement No. 075–15–2021– 606) and the Russian Foundation for Basic Research (20–07–00475). A.A.S. thanks the Russian Science Foundation for the support used for AgNSS synthesis and SEM characterization (RSF, grant number 20–73–00257). N.A.B. acknowledges support from the Russian Foundation for Basic Research used for the development and the optimization of the Pyraman software for the spectrum analysis (RFBR, grant number 20–04–01011 a). This research has been partially supported by the Interdisciplinary Scientific and Educational School of Moscow University “Molecular Technologies of the Living Systems and Synthetic Biology”.
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
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