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肾病综合征代谢组学分析与生物标志物发现。

Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery.

机构信息

Metabolomics Section, Department of Clinical Genomics, Center for Genome Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh 11121, Saudi Arabia.

Department of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid 22110, Jordan.

出版信息

Int J Mol Sci. 2022 Oct 20;23(20):12614. doi: 10.3390/ijms232012614.

DOI:10.3390/ijms232012614
PMID:36293474
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9603939/
Abstract

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.

摘要

肾病综合征(NS)是一种以大量蛋白尿、低白蛋白血症、水肿和高脂血症为特征的肾脏疾病,可能导致肾衰竭,需要进行肾移植。NS 患者更容易出现终末期肾病、心血管问题和死亡。因此,本研究旨在鉴定与 NS 发病机制和诊断相关的潜在新型生物标志物。采用液相色谱-质谱联用(LC-MS)代谢组学方法对 NS 患者的血清代谢组进行了分析。与对照组相比,NS 患者的血清中有 176 种代谢物发生了显著改变。精氨酸、脯氨酸和色氨酸代谢;精氨酸、苯丙氨酸、酪氨酸和色氨酸生物合成是 NS 中最常见的代谢途径失调。此外,丙氨酰-赖氨酸和异亮氨酰-苏氨酸在 NS 组与健康组之间具有最高的区分能力。这些候选生物标志物可能有助于了解与 NS 相关的可能代谢变化,并作为潜在的诊断生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f99b/9603939/1012eed01415/ijms-23-12614-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f99b/9603939/af31b47ac065/ijms-23-12614-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f99b/9603939/c4ef52c9aa31/ijms-23-12614-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f99b/9603939/3f481252083f/ijms-23-12614-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f99b/9603939/1012eed01415/ijms-23-12614-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f99b/9603939/af31b47ac065/ijms-23-12614-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f99b/9603939/c4ef52c9aa31/ijms-23-12614-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f99b/9603939/3f481252083f/ijms-23-12614-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f99b/9603939/1012eed01415/ijms-23-12614-g004.jpg

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