An enzyme immunoassay for determining albumin in human urine samples using an ultra-microanalytical system

Ruben Del Valle1, Juliette M Cazanave Mora2, Nancy L Carrazana San Martín2

  • 1Research Laboratory, Immunoassay Center , Havana, Cuba.

Insights

A new ultramicroELISA assay (UMELISA) accurately measures microalbuminuria, a key indicator of kidney damage. This cost-effective test enhances early detection of kidney disease in populations worldwide.

Area of Science:

  • Clinical Chemistry
  • Immunology
  • Nephrology

Background:

  • Microalbuminuria indicates moderate albumin increase in urine, signaling kidney damage.
  • Diabetes mellitus and hypertension are primary conditions linked to microalbuminuria.
  • Accurate measurement of urinary albumin is crucial for prognostic assessment.

Purpose of the Study:

  • To develop and validate a novel sandwich-type ultramicroELISA (UMELISA) assay for human urine albumin quantification.
  • To assess the analytical performance and diagnostic utility of the developed UMELISA assay.
  • To provide a cost-effective diagnostic tool for microalbuminuria detection.

Main Methods:

  • Development of a sandwich-type ultramicroELISA (UMELISA) using monoclonal antibody-coated strips.
  • Assay validation including measurement range, assay completion time, and coefficient of variation.
  • Comparison of UMELISA results with a commercial quantitative turbidimetric assay (Microalbumin-turbilatex).

Main Results:

  • The UMELISA assay provided results within 1 hour and 30 minutes.
  • The measuring range was 1.44-200 ng/mL with low intra- (3.98-4.35%) and inter-assay (7.59-8.92%) variability.
  • Excellent correlation (r=0.994, p<.01) was observed between UMELISA and the commercial assay.

Conclusions:

  • The UMELISA MICROALBUMINA assay demonstrates robust analytical performance for urine albumin quantification.
  • This assay is a specific, sensitive, and cost-effective method for detecting microalbuminuria.
  • The test is suitable for widespread use, particularly in resource-limited settings like Latin America.