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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....
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603939/ https://www.ncbi.nlm.nih.gov/pubmed/36293474 http://dx.doi.org/10.3390/ijms232012614 |
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author | 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. |
author_facet | 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. |
author_sort | Jacob, Minnie |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9603939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96039392022-10-27 Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery 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. Int J Mol Sci Article 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. MDPI 2022-10-20 /pmc/articles/PMC9603939/ /pubmed/36293474 http://dx.doi.org/10.3390/ijms232012614 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article 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. Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery |
title | Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery |
title_full | Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery |
title_fullStr | Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery |
title_full_unstemmed | Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery |
title_short | Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery |
title_sort | metabolomics profiling of nephrotic syndrome towards biomarker discovery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603939/ https://www.ncbi.nlm.nih.gov/pubmed/36293474 http://dx.doi.org/10.3390/ijms232012614 |
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