A versatile imaging platform with fluorescence and CT imaging capabilities that detects myeloperoxidase activity and inflammation at different scales.

Aberrant innate immune response drives the pathophysiology of many diseases. Myeloperoxidase (MPO) is a highly oxidative enzyme secreted by activated myeloid pro-inflammatory immune cells such as neutrophils and macrophages, and is a key mediator of the damaging innate immune response. Current technologies for detecting MPO activity in living organisms are sparse and suffer from any combination of low specificity, low tissue penetration, or low spatial resolution. We describe a versatile imaging platform to detect MPO activity using an activatable construct conjugated to a biotin moiety (MPO-activatable biotinylated sensor, MABS) that allows monitoring the innate immune response and its modulation at different scales and settings. Methods: We designed and synthesized MABS that contains MPO-specific and biotin moieties, and validated its specificity and sensitivity combining with streptavidin-labeled fluorescent agent and gold nanoparticles imaging in vitro and in vivo in multiple mouse models of inflammation and infection, including Matrigel implant, dermatitis, cellulitis, cerebritis and complete Fraud's adjuvant (CFA)-induced inflammation. Results: MABS MPO imaging non-invasively detected varying MPO concentrations, MPO inhibition, and MPO deficiency in vivo with high sensitivity and specificity. MABS can be used to obtain not only a fluorescence imaging agent, but also a CT imaging agent, conferring molecular activity information to a structural imaging modality. Importantly, using this method on tissue-sections, we found that MPO enzymatic activity does not always co-localize with MPO protein detected with conventional techniques (e.g., immunohistochemistry), underscoring the importance of monitoring enzymatic activity. Conclusion: By choosing from different available secondary probes, MABS can be used to create systems suitable to investigate and image MPO activity at different scales and settings.

Molecular MR Imaging of Myeloperoxidase Distinguishes Steatosis from Steatohepatitis in Nonalcoholic Fatty Liver Disease.

Purpose To test whether MPO-Gd, an activatable molecular magnetic resonance (MR) imaging agent specific for myeloperoxidase (MPO) activity, could detect MPO activity in nonalcoholic steatohepatitis (NASH) mouse models and human liver biopsy samples. Materials and Methods In this study, 20 leptin receptor-deficient and three MPO knockout mice were injected with endotoxin (lipopolysaccharide) or fed a methionine and choline-deficient (MCD) diet to induce experimental NASH and underwent MR imaging with MPO-Gd. Saline-injected and control diet-fed leptin receptor-deficient mice were used as respective controls. MPO protein and activity measurements and histologic analyses were performed. Eleven human liver biopsy samples underwent MPO-Gd-enhanced MR imaging ex vivo and subsequent histologic evaluation. Results were compared with Student t test or Mann-Whitney U test. Results With endotoxin, a significantly increased contrast-to-noise ratio (CNR) was found compared with sham (mean CNR, 1.81 [95% confidence interval {CI}: 1.53, 2.10] vs 1.02 [95% CI: 0.89, 1.14]; P = .03) at MPO-Gd MR imaging. In the diet-induced NASH model, an increased CNR was also found compared with sham mice (mean CNR, 1.33 [95% CI: 1.27, 1.40] vs 0.98 [95% CI: 0.83, 1.12]; P = .008). Conversely, CNR remained at baseline in NASH mice imaged with gadopentetate dimeglumine and in MPO knockout NASH mice with MPO-Gd, which proves specificity of MPO-Gd. Ex vivo molecular MR imaging of liver biopsy samples from NASH and control patients confirmed results from animal studies (mean CNR for NASH vs control patients, 2.61 [95% CI: 1.48, 3.74] vs 1.29 [95% CI: 1.06, 1.52]; P = .004). Conclusion MPO-Gd showed elevated MPO activity in NAFLD mouse models and human liver biopsy samples. © RSNA, 2017 Online supplemental material is available for this article. An earlier incorrect version of this article appeared online. This article was corrected on April 6, 2017.