A DNA-Based MRI Contrast Agent for Quantitative pH Measurement.
Hyewon SeoKristine Y MaErin E TuttleIsen Andrew C CalderonAlissa D BuskermolenChris A FlaskHeather A ClarkPublished in: ACS sensors (2021)
Extracellular pH is important in clinical measurements due to its correlation to cell metabolism and disease progression. In MRI, T1/T2 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 r1 and r2 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 (R2 = 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.
Keyphrases
- magnetic resonance imaging
- cardiovascular disease
- contrast enhanced
- type diabetes
- circulating tumor
- magnetic resonance
- cell free
- squamous cell carcinoma
- computed tomography
- single molecule
- stem cells
- quantum dots
- metabolic syndrome
- atrial fibrillation
- nitric oxide
- risk assessment
- climate change
- hydrogen peroxide
- lymph node metastasis
- nucleic acid
- simultaneous determination