ASN's Mission

To create a world without kidney diseases, the ASN Alliance for Kidney Health elevates care by educating and informing, driving breakthroughs and innovation, and advocating for policies that create transformative changes in kidney medicine throughout the world.

learn more

Contact ASN

1401 H St, NW, Ste 900, Washington, DC 20005

email@asn-online.org

202-640-4660

The Latest on X

Kidney Week

Abstract: TH-PO0345

Potential IgAN Biomarkers from the Glycine, Serine, and Threonine Metabolism Pathway

Session Information

Category: Glomerular Diseases

  • 1401 Glomerular Diseases: Mechanisms, including Podocyte Biology

Author

  • Ji, Catherine, miRcore, Ann Arbor, Michigan, United States
Background

IgA Nephropathy (IgAN) is a chronic autoimmune disease caused by the buildup of immunoglobulin A in the glomeruli. Symptoms however are often not felt until late into the disease progression and can ultimately lead to kidney failure. There is no cure to the disease, though medicine can slow down inflammation or reduce organ stress by treating hypertension. Due to the complexity of the kidney, researchers and medical professionals struggle with pre-diagnosis and are still searching for biomarkers for disease predisposition.

Methods

The dataset GSE93798 from Gene Expression Omnibus (GEO) was analyzed using GEO2R. The dataset compared 20 samples of IgAN and 22 samples of normal patient gene expression data from the glomeruli of kidney biopsies. The 741 genes with a LogFC above 0.5 were inputted in string-db, and it was shown that the glycine, serine, and threonine metabolism pathway (FDR: 8.38E-07) had 13 of the 38 genes upregulated in IgAN patients. The pathway was further analyzed in the KEGG pathway and genes BHMT and CTH were examined.

Results

Pathway analysis of the glycine, serine, and threonine metabolism showed common genes BHMT and CTH that were upregulated in the IgAN cohort compared to the control cohort in the dataset. BHMT was significantly upregulated, having a 1.38 LogFC and an adjusted p-value of 7.89E-09. It encodes for a cytosolic enzyme that catalyzes betaine and homocysteine into methionine and dimethylglycine. CTH was upregulated with a 1.01 LogFC and adjusted p-value of 4.24E-11. It encodes for a cytoplasmic enzyme that converts cystathione into methionine and cysteine.

Conclusion

Elevated methionine levels have been linked to oxidative stress and metabolic burden for the renal system. It is also implicated in the overproduction of sulfuric acid and cysteine, which also contribute to increased renal stress. The upregulation of BHMT in IgAN patients increases methionine concentration while CTH's upregulation raises the rate of production for both methionine and cysteine, both of which may contribute to kidney damage. CTH and BHMT are potential biomarkers worthy of further exploration in the diagnosis and tracking of the onset of IgAN.