Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery

Nephrotic syndrome (NS) is a kidney illness characterized by excessive proteinuria, hypoalbuminemia, edema, and hyperlipidemia, which may lead to kidney failure and necessitate renal transplantation. End-stage renal disease, cardiovascular issues, and mortality are much more common in those with NS....

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Bibliographic Details
Published in:International journal of molecular sciences 2022-10, Vol.23 (20), p.12614
Main Authors: Jacob, Minnie, Nimer, Refat M., Alabdaljabar, Mohamad S., Sabi, Essa M., Al-Ansari, Mysoon M., Housien, Maged, Sumaily, Khalid M., Dahabiyeh, Lina A., Abdel Rahman, Anas M.
Format: Article
Language:English
Subjects:
biomarker
Biomarkers
Biosynthesis
Cardiovascular diseases
Creatinine
Diabetes
Edema
End-stage renal disease
Hyperlipidemia
Kidney diseases
Kidneys
Laboratories
Liquid chromatography
liquid chromatography–mass spectrometry
Lysine
Mass spectrometry
Mass spectroscopy
Metabolic pathways
Metabolism
Metabolites
Metabolomics
Nephrotic syndrome
Phenylalanine
Proteins
Proteinuria
Renal failure
Steroids
Transplantation
Tryptophan
Tyrosine
Urine
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Summary:Nephrotic syndrome (NS) is a kidney illness characterized by excessive proteinuria, hypoalbuminemia, edema, and hyperlipidemia, which may lead to kidney failure and necessitate renal transplantation. End-stage renal disease, cardiovascular issues, and mortality are much more common in those with NS. Therefore, the present study aimed to identify potential new biomarkers associated with the pathogenesis and diagnosis of NS. The liquid chromatography–mass spectrometry (LC–MS) metabolomics approach was applied to profile the metabolome of human serum of patients with NS. A total of 176 metabolites were significantly altered in NS compared to the control. Arginine, proline, and tryptophan metabolism; arginine, phenylalanine, tyrosine, and tryptophan biosynthesis were the most common metabolic pathways dysregulated in NS. Furthermore, alanyl-lysine and isoleucyl-threonine had the highest discrimination between NS and healthy groups. The candidate biomarkers may lead to understanding the possible metabolic alterations associated with NS and serve as potential diagnostic biomarkers.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms232012614