Issue 6, 2020

Nitric oxide imaging in cancer enabled by steric relaxation of a photoacoustic probe platform

Abstract

Nitric oxide (NO) is a key signaling molecule involved in a variety of physiological and pathological processes. Over the past few decades it has become clear that the microenvironment and concentration of NO are critically linked to its bioactivity. Direct visualization of NO in vivo remains difficult due to a lack of sensitive analytical tools with deep tissue compatibility. Herein, we report the optimization of an activatable photoacoustic probe for NO by planarizing the boron-azadipyrromethene (aza-BODIPY) dye platform via steric relaxation. The lead compound, SR-APNO-3, exhibits maximal absorption at 790 and 704 nm before and after N-nitrosation with NO, respectively, and a 4.4-fold increase in the theoretical maximal ratiometric response compared to the non-sterically relaxed parent compound, APNO-5. This circa 30 nm red-shift enabled direct visualization with the laser system commonly employed in commercially available photoacoustic tomographers and a 1.1-fold increase in sensitivity within an intramuscular lipopolysaccharide-induced inflammation model. Moreover, this optimization facilitated the detection of endogenously produced NO in an allograft murine breast cancer model, where steady-state concentrations are several orders of magnitude less than during the immune response.

Graphical abstract: Nitric oxide imaging in cancer enabled by steric relaxation of a photoacoustic probe platform

Supplementary files

Article information

Article type
Edge Article
Submitted
05 Nov 2019
Accepted
29 Dec 2019
First published
07 Jan 2020
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY license

Chem. Sci., 2020,11, 1587-1592

Nitric oxide imaging in cancer enabled by steric relaxation of a photoacoustic probe platform

C. J. Reinhardt, R. Xu and J. Chan, Chem. Sci., 2020, 11, 1587 DOI: 10.1039/C9SC05600A

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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