Label-free urinary protein detection through machine learning analysis of single droplet evaporation patterns.

Journal: Analytica chimica acta
PMID: 40288875

Abstract

BACKGROUND: Chronic kidney disease (CKD) is a major global public health issue, with a steadily increasing incidence. Urinary protein detection serves as a crucial indicator for the diagnosis, monitoring and management of CKD. However, current methods for urinary protein measurement, such as urine dipstick tests, colorimetric assays, and 24-h total urine protein analysis, have certain limitations that restrict their routine application in CKD screening and follow-up. Therefore, there is an urgent need for a simple, convenient, and rapid diagnostic approach for kidney function assessment.

Authors

  • Ruyue Yang
    Department of Laboratory Medicine, Guangdong Provincial Key Laboratory of Precision Medical Diagnostics, Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors, Guangdong Provincial Key Laboratory of Single-cell and Extracellular Vesicles, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China; Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
  • Nannan Cao
    Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China; Department of Laboratory Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, Guangdong, China.
  • Yan Yang
    Department of Endocrinology and Metabolism, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
  • Shujuan Guan
    Department of Laboratory Medicine, Guangdong Provincial Key Laboratory of Precision Medical Diagnostics, Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors, Guangdong Provincial Key Laboratory of Single-cell and Extracellular Vesicles, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
  • Chao Yang
    Translational Institute for Cancer Pain, Chongming Hospital Affiliated to Shanghai University of Health & Medicine Sciences (Xinhua Hospital Chongming Branch), Shanghai 202155, P. R. China.
  • Bo Situ
    Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China. Electronic address: bositu@smu.edu.cn.
  • Yongyu Rui
    Department of Laboratory Medicine, Guangdong Provincial Key Laboratory of Precision Medical Diagnostics, Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors, Guangdong Provincial Key Laboratory of Single-cell and Extracellular Vesicles, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China. Electronic address: ruiyongyu@163.com.
  • Hongwei Zhou
    Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • Lei Zheng
    Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhuxi Road, Hexi District, Tianjin 300060, China.

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