Differentiated metabolomic profiling reveals plasma amino acid signatures for primary glomerular disease
Abstract Primary glomerular disease (PGD) is an idiopathic cause of renal glomerular lesions that is characterized by proteinuria or hematuria and is the leading cause of chronic kidney disease (CKD). The identification of circulating biomarkers for the diagnosis of PGD requires a thorough understan...
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| Format: | Article |
| Language: | English |
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Springer
2024-07-01
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| Series: | Amino Acids |
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| Online Access: | https://doi.org/10.1007/s00726-024-03407-4 |
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| author | Jiao Wang Chunyu Zhou Liqian Lu Shoujun Wang Qing Zhang Zhangsuo Liu |
| author_facet | Jiao Wang Chunyu Zhou Liqian Lu Shoujun Wang Qing Zhang Zhangsuo Liu |
| author_sort | Jiao Wang |
| collection | DOAJ |
| description | Abstract Primary glomerular disease (PGD) is an idiopathic cause of renal glomerular lesions that is characterized by proteinuria or hematuria and is the leading cause of chronic kidney disease (CKD). The identification of circulating biomarkers for the diagnosis of PGD requires a thorough understanding of the metabolic defects involved. In this study, ultra-high performance liquid chromatography–tandem mass spectrometry was performed to characterize the amino acid (AA) profiles of patients with pathologically diagnosed PGD, including minimal change disease (MCD), focal segmental glomerular sclerosis (FSGS), membranous nephropathy, and immunoglobulin A nephropathy. The plasma concentrations of asparagine and ornithine were low, and that of aspartic acid was high, in patients with all the pathologic types of PGD, compared to healthy controls. Two distinct diagnostic models were generated using the differential plasma AA profiles using logistic regression and receiver operating characteristic analyses, with areas under the curves of 1.000 and accuracies up to 100.0% in patients with MCD and FSGS. In conclusion, the progression of PGD is associated with alterations in AA profiles, The present findings provide a theoretical basis for the use of AAs as a non-invasive, real-time, rapid, and simple biomarker for the diagnosis of various pathologic types of PGD. |
| format | Article |
| id | doaj-art-df270b6a66854c2da5270d2ab158040c |
| institution | Kabale University |
| issn | 1438-2199 |
| language | English |
| publishDate | 2024-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Amino Acids |
| spelling | doaj-art-df270b6a66854c2da5270d2ab158040c2024-12-22T12:34:18ZengSpringerAmino Acids1438-21992024-07-015611910.1007/s00726-024-03407-4Differentiated metabolomic profiling reveals plasma amino acid signatures for primary glomerular diseaseJiao Wang0Chunyu Zhou1Liqian Lu2Shoujun Wang3Qing Zhang4Zhangsuo Liu5Department of geriatric endocrinology, the First Affiliated Hospital of Zhengzhou UniversityBlood Purification Center, the First Affiliated Hospital of Zhengzhou UniversityResearch Institute of Nephrology, Zhengzhou UniversityDepartment of endocrinology, the First Affiliated Hospital of Zhengzhou UniversityResearch Institute of Nephrology, Zhengzhou UniversityBlood Purification Center, the First Affiliated Hospital of Zhengzhou UniversityAbstract Primary glomerular disease (PGD) is an idiopathic cause of renal glomerular lesions that is characterized by proteinuria or hematuria and is the leading cause of chronic kidney disease (CKD). The identification of circulating biomarkers for the diagnosis of PGD requires a thorough understanding of the metabolic defects involved. In this study, ultra-high performance liquid chromatography–tandem mass spectrometry was performed to characterize the amino acid (AA) profiles of patients with pathologically diagnosed PGD, including minimal change disease (MCD), focal segmental glomerular sclerosis (FSGS), membranous nephropathy, and immunoglobulin A nephropathy. The plasma concentrations of asparagine and ornithine were low, and that of aspartic acid was high, in patients with all the pathologic types of PGD, compared to healthy controls. Two distinct diagnostic models were generated using the differential plasma AA profiles using logistic regression and receiver operating characteristic analyses, with areas under the curves of 1.000 and accuracies up to 100.0% in patients with MCD and FSGS. In conclusion, the progression of PGD is associated with alterations in AA profiles, The present findings provide a theoretical basis for the use of AAs as a non-invasive, real-time, rapid, and simple biomarker for the diagnosis of various pathologic types of PGD.https://doi.org/10.1007/s00726-024-03407-4Primary glomerular disease1Amino acids2Metabolomics3LC-MS/MS4Diagnostic model5 |
| spellingShingle | Jiao Wang Chunyu Zhou Liqian Lu Shoujun Wang Qing Zhang Zhangsuo Liu Differentiated metabolomic profiling reveals plasma amino acid signatures for primary glomerular disease Amino Acids Primary glomerular disease1 Amino acids2 Metabolomics3 LC-MS/MS4 Diagnostic model5 |
| title | Differentiated metabolomic profiling reveals plasma amino acid signatures for primary glomerular disease |
| title_full | Differentiated metabolomic profiling reveals plasma amino acid signatures for primary glomerular disease |
| title_fullStr | Differentiated metabolomic profiling reveals plasma amino acid signatures for primary glomerular disease |
| title_full_unstemmed | Differentiated metabolomic profiling reveals plasma amino acid signatures for primary glomerular disease |
| title_short | Differentiated metabolomic profiling reveals plasma amino acid signatures for primary glomerular disease |
| title_sort | differentiated metabolomic profiling reveals plasma amino acid signatures for primary glomerular disease |
| topic | Primary glomerular disease1 Amino acids2 Metabolomics3 LC-MS/MS4 Diagnostic model5 |
| url | https://doi.org/10.1007/s00726-024-03407-4 |
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