4.8 Article

Quantification and Identification of Microproteinuria Using Ultrafiltration and ATR-FTIR Spectroscopy

Journal

ANALYTICAL CHEMISTRY
Volume 92, Issue 3, Pages 2409-2416

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.9b03081

Keywords

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Funding

  1. Australian Research Council [FT 120100926, DP 3921629]
  2. European Research Council MSCA grant (Spectrometrics, 020-MSCA-IF-2017) [796287]
  3. Marie Curie Actions (MSCA) [796287] Funding Source: Marie Curie Actions (MSCA)

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The presence of low amounts of specific proteins in urine can be an indicator of diagnosis and prognosis of several diseases including renal failure and cancer. Hence, there is an urgent need for Point-of-care (PoC) methods, which can quantify microproteinuria levels (30-300 ppm) and identify the major proteins associated with the microproteinuria. In this study, we coupled ultracentrifugation with attenuated total reflectance-Fourier transform infrared (ATR-FTIR) to identify and quantify proteins in urine at low parts per million levels. The process involves the preconcentration of proteins from 500 mu L of urine using an ultrafiltration device. After several washings, the isolated proteins are dried onto the ATR crystal forming a thin film. Imaging studies showed that the absorbance of the protein bands was linear with the amount of mass deposited on the crystal. The methodology was first evaluated with artificial urine spiked with 30-300 ppm of albumin. The calibration showed acceptable linearity (R-2 = 0.97) and a limit of detection of 6.7 ppm. Linear relationships were also observed from urine of healthy subjects spiked with microproteinuria concentrations of albumin, immunoglobulin, and hemoglobin, giving a prediction error of the spiked concentration of 23 ppm. When multiple proteins were spiked into the real urine, multivariate analysis was able to decompose the data set into the different proteins, but the multicomponent evaluation was challenging for proteins at low levels. Although the introduction of a preprocessing step reduces the PoC capability of the method, it largely increases its performance, showing great potential as a tool for the diagnosis and prognosis of several illnesses affecting urine proteic composition.

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