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Accurate identification of kidney injury progression via a fluorescent biosensor array

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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.

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Funding

This research was supported by National Natural Science Foundation of China (21775166 and 82104357), Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province (BK20180026), and “Double First-Class” University Project (CPU2018GF06).

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Author notes

  1. Xie-an Yu and Lei Zhang contributed equally to this work.

Authors and Affiliations

  1. 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

    Xie-an Yu, Lei Zhang, Ran Zhang, Xuefei Bai, Ying Zhang, Yiting Hu, Yang Wu, Ziyi Li & Jiangwei Tian

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

    Xie-an Yu & Bing Wang

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  1. Xie-an Yu
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Contributions

Xie-an Yu: writing-original draft, methodology, investigation, formal analysis. Lei Zhang: writing—original draft, methodology, investigation. Ran Zhang: formal analysis, data curation. Xuefei Bai: formal analysis, data curation. Yiting Hu: formal analysis, data curation. Ying Zhang: formal analysis, data curation. Yang Wu: data curation. Ziyi Li: data curation. Bing Wang: validation, supervision. Jiangwei Tian: writing—review and editing, validation, supervision, project administration, funding acquisition.

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Correspondence to Bing Wang or Jiangwei Tian.

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Yu, Xa., Zhang, L., Zhang, R. et al. Accurate identification of kidney injury progression via a fluorescent biosensor array. Microchim Acta 189, 304 (2022). https://doi.org/10.1007/s00604-022-05380-9

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