Size-Dependent Effect of Indocyanine Green Nanoimaging Agent for Metastatic Lymph Node Detection

Author:

Le Quoc-Viet1,Kang Sungtaek2,Lee Jaeseong2,Park Hyeseon2,Sun Jeong Gil2,Lee Jaiwoo3,Shim Gayong2

Affiliation:

1. Faculty of Pharmacy, Ton Duc Thang University, Ho Chi Minh City, Vietnam.

2. School of Systems Biomedical Science and Integrative Institute of Basic Sciences, Soongsil University, Seoul 06978, Republic of Korea.

3. College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 08826, Republic of Korea.

Abstract

Identification of metastatic lymph nodes is a crucial step in lymph node dissection to prevent further cancer spread and recurrence. However, the current limitations in metastatic lymph node detection often result in extensive resection of normal lymph nodes, leading to serious complications. The clinical application of indocyanine green (ICG) as a tool for lymph node detection is challenging because of its short plasma half-life and rapid light-induced decomposition and clearance. To overcome this limitation, we used polydopamine nanoparticles (PNs) as carriers for ICG and screened for the optimal particle size for detecting metastatic lymph nodes. ICG/PNs with sizes of 80, 160, 300, and 600 nm were synthesized, and their ICG loading efficiency, physical stability, and lymph node distribution were evaluated. The ICG absorbed on the PNs was found to be protected from light degradation, and its retention at the lymph nodes was improved. Notably, the ICG/PNs favored the fluorescence signal at the metastatic lymph nodes compared to the nonmetastatic lymph nodes. Among the tested particle sizes, the 80-nm ICG/PN showed a higher distribution in the metastatic lymph nodes. This study suggests that the 80-nm ICG/PN is a potentially valuable reagent for the detection and diagnosis of lymph node metastasis.

Funder

Ministry of Science and ICT, South Korea

Ministry of Trade, Industry and Energy

Ministry of Education

Publisher

American Association for the Advancement of Science (AAAS)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3