报 告 人: 浦侃裔 教授

报告时间: 2024年6月3日(周一) 10:00

报告地点: 上海大学生命科学学院700会议室

报告人简介:

浦侃裔博士是新加坡南洋理工大学化学、化工与生物技术学院（CCEB）及李光前医学院校长讲席教授，同时担任工程学部副部长。他是Web of Science高被引学者，曾获得新加坡国家研究基金（NRF）调查员奖和生物材料科学讲座奖等荣誉。他的H 指数达到115，引用超过36,000次，其中包括在Nature系列期刊上发表的25篇文章。他还担任ACS Applied Polymer Materials、Biomaterials Research和Smart Molecules 副编辑，并为Chemical Society Reviews、Advanced Functional Materials、Biomaterials、Small等超过18个顶级期刊的编辑顾问。他的研究兴趣主要集中在分子光学成像探针、智能癌症诊疗以及光调纳米传感器。

报告主题：

Molecular optical imaging plays a crucial role in biology and medicine. However, the strong tissue autofluorescence and shallow tissue penetration of optical imaging compromise not only its sensitivity and specificity but also limit its clinical translation. In this talk, I will introduce our approaches (molecular afterglow imaging and artificial urinary biomarkers) to tackle these challenges.

First, I will introduce molecular afterglow probes with long-lasting luminescence after cessation of electromagnetic irradiation by light, ultrasound, or X-ray. Due to the elimination of real-time light excitation, molecular afterglow probes have a signal-to-background ratio more than two orders of magnitude higher than NIR fluorescence, allowing for sensitive detection of tiny peritoneal metastatic tumors and monitoring therapeutic outcomes.

Second, I will discuss how to design renal-clearable optical probes as artificial urinary biomarkers for the early diagnosis of acute kidney injury and allograft rejection as well as the profiling of tumor immune microenviroment. Molecular renal probes (MRPs) can specifically activate their NIR fluorescence/chemiluminescence signals toward the biomarkers of interest, followed by rapid renal clearance for urine tests. MRPs can thus act as artificial urinary biomarkers to bypass the tissue penetration issue of optical imaging, permitting optical urinalysis that outperforms typical clinical/preclinical assays.

These studies provide the basis for an entirely new class of molecular optical probes with ultrahigh sensitivity and high translational potential for disease diagnosis and prognosis.