Urinary sediment mRNA as a potent biomarker of IgA nephropathy

Jin Sug Kim1, Geon Woo Kim1, Hyeon Seok Hwang1

  • 1Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Medical Center, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea.

BMC Nephrology
|November 8, 2024
PubMed
Abstract

Insights

Urinary mRNA levels, including FLOT1, show promise as biomarkers for IgA nephropathy (IgAN) progression. This research highlights their potential clinical relevance in managing IgAN patients.

Area of Science:

  • Nephrology
  • Molecular Biology
  • Biomarker Discovery

Background:

  • Urinary mRNA quantification is a recognized biomarker for disease.
  • Limited research exists on urinary mRNA in IgA nephropathy (IgAN).
  • This study explores urinary mRNA expression and clinical significance in IgAN.

Purpose of the Study:

  • To investigate urinary mRNA expression in IgA nephropathy (IgAN).
  • To determine the clinical significance of urinary mRNA levels in IgAN.
  • To evaluate the predictive value of urinary mRNAs for IgAN disease progression.

Main Methods:

  • Analyzed Gene Expression Omnibus data for differential mRNA expression in IgAN renal tissue.
  • Quantified urinary sediment mRNA using quantitative real-time polymerase chain reaction in 200 IgAN patients, 48 disease controls, and 76 healthy controls.
  • Assessed associations between urinary mRNA levels and clinicopathological parameters, and evaluated predictive value for disease progression.

Main Results:

  • Upregulated urinary expression of CCL2, CD14, DNMT1, FKBP5, Nephrin, and IL-6 in IgAN patients versus healthy controls.
  • Correlations found between C3, FLOT1, Podocin, and TfR levels with renal function and urinary protein excretion.
  • Urinary FLOT1 mRNA levels independently predicted increased risk of IgAN disease progression (HR 3.706, P=0.010).

Conclusions:

  • Urinary sediment mRNAs serve as valuable biomarkers for IgA nephropathy (IgAN).
  • Further validation with larger cohorts and extended follow-up is warranted.

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