Department of Chemistry and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
J Am Chem Soc. 2021 May 12;143(18):7196-7202. doi: 10.1021/jacs.1c03004. Epub 2021 Apr 27.
Photoacoustic (PA) imaging has emerged as a reliable technique for diverse biomedical applications ranging from disease screening to analyte sensing. Most contemporary PA imaging agents employ NIR-I light (650-900 nm) to generate an ultrasound signal; however, there is significant interference from endogenous biomolecules such as hemoglobin that are PA active in this window. Transitioning to longer excitation wavelengths (i.e., NIR-II) reduces the background and facilitates the detection of low abundance targets (e.g., nitric oxide, NO). In this study, we employed a two-phase tuning approach to develop APNO-1080, a NIR-II NO-responsive probe for deep-tissue PA imaging. First, we performed Hammett and Brønsted analyses to identify a highly reactive and selective aniline-based trigger that reacts with NO via -nitrosation chemistry. Next, we screened a panel of NIR-II platforms to identify chemical structures that have a low propensity to aggregate since this can diminish the PA signal. In a head-to-head comparison with a NIR-I analogue, APNO-1080 was 17.7-fold more sensitive in an tissue phantom assay. To evaluate the deep-tissue imaging capabilities of APNO-1080 , we performed PA imaging in an orthotopic breast cancer model and a heterotopic lung cancer model. Relative to control mice not bearing tumors, the normalized turn-on response was 1.3 ± 0.12 and 1.65 ± 0.07, respectively.
光声(PA)成像是一种可靠的技术,可应用于从疾病筛查到分析物检测等多种生物医学领域。大多数现代 PA 成像剂采用近红外-I 光(650-900nm)产生超声信号;然而,在这个窗口中,内源性生物分子如血红蛋白等会产生显著的干扰,它们具有 PA 活性。转换到更长的激发波长(即近红外-II)可以减少背景干扰,并有助于检测低丰度靶标(如一氧化氮,NO)。在这项研究中,我们采用了两阶段调谐方法来开发 APNO-1080,这是一种用于深层组织 PA 成像的近红外-II 型 NO 响应探针。首先,我们进行了 Hammett 和 Brønsted 分析,以确定一种高度反应性和选择性的基于苯胺的触发物,该触发物通过 -亚硝化化学与 NO 反应。接下来,我们筛选了一系列近红外-II 平台,以确定不易聚集的化学结构,因为这会降低 PA 信号。在与近红外-I 类似物的直接比较中,APNO-1080 在组织体模测定中的灵敏度提高了 17.7 倍。为了评估 APNO-1080 的深层组织成像能力,我们在原位乳腺癌模型和异位肺癌模型中进行了 PA 成像。相对于未携带肿瘤的对照小鼠,归一化开启响应分别为 1.3±0.12 和 1.65±0.07。