A DNA-Based MRI Contrast Agent for Quantitative pH Measurement
Extracellular pH is important in clinical measurements due to its correlation to cell metabolism and disease progression. In MRI, T 1/T 2 ratiometric analysis and other methods have been previously applied to quantify pH using conventional pulse sequences. However, for nanoparticle-based approaches,...
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Veröffentlicht in: | ACS sensors 2021-03, Vol.6 (3), p.727-732 |
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Zusammenfassung: | Extracellular pH is important in clinical measurements due to its correlation to cell metabolism and disease progression. In MRI, T 1/T 2 ratiometric analysis and other methods have been previously applied to quantify pH using conventional pulse sequences. However, for nanoparticle-based approaches, heterogeneity in size and surface functionalization tends toward qualitative rather than quantitative results. To address this limitation, we developed a novel DNA-based MRI contrast agent, pH-DMRCA, which utilizes a highly programmable and reproducible nanostructure. The pH-DMRCA is a dendritic DNA scaffold that is functionalized with a pH-responsive MRI-sensitive construct, Gd(NP-DO3A), at the end of each DNA arm. We first evaluated the r 1 and r 2 response of our pH-DMRCA over a range of pH values (pH = 5–9) to establish a relaxometric model of pH. These MRI-based assessments of pH were validated in a separate set of samples using a pH electrode (n = 18) and resulted in a good linear correlation (R 2 = 0.99, slope = 0.98, intercept = 0). A Bland–Altman analysis of the results also showed reasonable agreement between the calculated pH and measured pH. Moreover, these pH comparisons were consistent across three different pH-DMRCA concentrations, demonstrating concentration-independence of the method. This MRI-based pH quantification methodology was further verified in human blood plasma. Given the versatility of the DNA-based nanostructures, the contrast agent has a potential to be applied to a wide variety of imaging applications where extracellular pH is important including cancer, stroke, cardiovascular disease, and other important diseases. |
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ISSN: | 2379-3694 2379-3694 |
DOI: | 10.1021/acssensors.1c00296 |