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通过荧光生物传感器阵列准确识别肾损伤进展。

Accurate identification of kidney injury progression via a fluorescent biosensor array.

机构信息

State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Research Center for Traceability and Standardization of TCMs, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, People's Republic of China.

NMPA Key Laboratory for Bioequivalence Research of Generic Drug Evaluation, Shenzhen Institute for Drug Control, Shenzhen, 518057, People's Republic of China.

出版信息

Mikrochim Acta. 2022 Aug 1;189(8):304. doi: 10.1007/s00604-022-05380-9.

DOI:10.1007/s00604-022-05380-9
PMID:35915355
Abstract

Identifying the progress of kidney injury may aid the effective treatment and intervention. Herein, we developed a fluorescent biosensor array for instantaneous and accurate identification of the kidney injury progression via "doubled" signals. The multichannel biosensor array consisted of polydopamine-polyethyleneimine (PDA-PEI) and multicolor-labelled different length of DNAs including AAAAA-Cyanine7 (5A-Cy7), AAAAAAAAAA-Texas Red (10A-Texas Red), and AAAAAAAAAAAAAAAAAAAA-VIC (20A-VIC). Facing to the variety of protein in urine with alterable charge accompanied with different progress of kidney injury, the composition of urine replaces the DNA signal molecules, forming their special fluorescence patterns. Taking the size of protein into consideration, the original three variables induced by the protein charge were extended to six variables induced by the two factors of protein particle size and charge difference, which could provide a more accurate strategy to identify the progress of kidney injury. Notably, this strategy not only opened up new perspective for identification the progress of kidney injury via the size and charge of urine protein, but also improved the resolving power of sensor array by increasing the number of sensor elements for extending their potential application to various diseases.

摘要

识别肾损伤的进展情况可能有助于进行有效的治疗和干预。在这里,我们开发了一种荧光生物传感器阵列,通过“双重”信号实现对肾损伤进展的即时、准确识别。多通道生物传感器阵列由聚多巴胺-聚乙烯亚胺(PDA-PEI)和多种不同长度的标记有颜色的 DNA 组成,包括 AAAAA-菁 7(5A-Cy7)、AAAAAAAAA-德州红(10A-Texas Red)和 AAAAAAAAAAAAAAAAAAAA-VIC(20A-VIC)。面对尿液中带有可变电荷的各种蛋白质以及不同进展阶段的肾损伤,尿液的组成取代了 DNA 信号分子,形成了它们特殊的荧光模式。考虑到蛋白质的大小,由蛋白质电荷引起的原始三个变量扩展为由蛋白质颗粒大小和电荷差两个因素引起的六个变量,这可以为识别肾损伤的进展提供更准确的策略。值得注意的是,该策略不仅为通过尿液蛋白质的大小和电荷识别肾损伤的进展开辟了新的视角,而且通过增加传感器元件的数量提高了传感器阵列的分辨率,从而将其潜在应用扩展到各种疾病。

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J Am Chem Soc. 2021 Nov 3;143(43):18294-18304. doi: 10.1021/jacs.1c08898. Epub 2021 Oct 21.
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A nanosensor for precise discrimination of nephrotoxic drug mechanisms via dynamic fluorescence fingerprint strategy.一种通过动态荧光指纹策略实现精确区分肾毒性药物机制的纳米传感器。
Anal Chim Acta. 2021 May 22;1160:338447. doi: 10.1016/j.aca.2021.338447. Epub 2021 Mar 25.
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Anal Chem. 2021 Feb 9;93(5):2916-2925. doi: 10.1021/acs.analchem.0c04501. Epub 2021 Jan 25.
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Ultraviolet-visible diffuse reflectance spectroscopy combined with chemometrics for rapid discrimination of Angelicae Sinensis Radix from its four similar herbs.紫外可见漫反射光谱结合化学计量学用于快速鉴别当归及其四种易混淆药材。
Anal Methods. 2020 Jul 16;12(27):3499-3507. doi: 10.1039/d0ay00285b.
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