報 告 人: 浦侃裔 教授

報告時間: 2024年6月3日(周一) 10:00

報告地點: 上海大學生命科學學院700會議室

報告人簡介:

浦侃裔博士是新加坡南洋理工大學化學、化工與生物技術學院（CCEB）及李光前醫學院校長講席教授，同時擔任工程學部副部長。他是Web of Science高被引學者，曾獲得新加坡國家研究基金（NRF）調查員獎和生物材料科學講座獎等榮譽。他的H 指數達到115，引用超過36,000次，其中包括在Nature系列期刊上發表的25篇文章。他還擔任ACS Applied Polymer Materials、Biomaterials Research和Smart Molecules 副編輯，并為Chemical Society Reviews、Advanced Functional Materials、Biomaterials、Small等超過18個頂級期刊的編輯顧問。他的研究興趣主要集中在分子光學成像探針、智能癌症診療以及光調納米傳感器。

報告主題：

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.