Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics Study
Background and Objectives. Diabetic kidney disease is a leading cause of chronic kidney disease and end-stage renal disease across the world. Early identification of DKD is vitally important for the effective prevention and control of it. However, the available indicators are doubtful in the early d...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Diabetes Research |
| Online Access: | http://dx.doi.org/10.1155/2020/3049098 |
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| author | Hang Zhang Jing-jing Zuo Si-si Dong Yuan Lan Chen-wei Wu Guang-yun Mao Chao Zheng |
| author_facet | Hang Zhang Jing-jing Zuo Si-si Dong Yuan Lan Chen-wei Wu Guang-yun Mao Chao Zheng |
| author_sort | Hang Zhang |
| collection | DOAJ |
| description | Background and Objectives. Diabetic kidney disease is a leading cause of chronic kidney disease and end-stage renal disease across the world. Early identification of DKD is vitally important for the effective prevention and control of it. However, the available indicators are doubtful in the early diagnosis of DKD. This study is aimed at determining novel sensitive and specific biomarkers to distinguish DKD from their counterparts effectively based on the widely targeted metabolomics approach. Materials and Method. This case-control study involved 44 T2DM patients. Among them, 24 participants with DKD were defined as the cases and another 20 without DKD were defined as the controls. The ultraperformance liquid chromatography-electrospray ionization-tandem mass spectrometry system was applied for the assessment of the serum metabolic profiles. Comprehensive analysis of metabolomics characteristics was conducted to detect the candidate metabolic biomarkers and assess their capability and feasibility. Result. A total of 11 differential metabolites, including Hexadecanoic Acid (C16:0), Linolelaidic Acid (C18:2N6T), Linoleic Acid (C18:2N6C), Trans-4-Hydroxy-L-Proline, 6-Aminocaproic Acid, L-Dihydroorotic Acid, 6-Methylmercaptopurine, Piperidine, Azoxystrobin Acid, Lysopc 20:4, and Cuminaldehyde, were determined as the potential biomarkers for the DKD early identification, based on the multivariable generalized linear regression model and receiver operating characteristic analysis. Conclusion. Serum metabolites might act as sensitive and specific biomarkers for DKD early detection. Further longitudinal studies are needed to confirm our findings. |
| format | Article |
| id | doaj-art-4d930f1d35a24c06b3e681a3c72c9efc |
| institution | Kabale University |
| issn | 2314-6745 2314-6753 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Diabetes Research |
| spelling | doaj-art-4d930f1d35a24c06b3e681a3c72c9efc2025-02-03T05:49:30ZengWileyJournal of Diabetes Research2314-67452314-67532020-01-01202010.1155/2020/30490983049098Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics StudyHang Zhang0Jing-jing Zuo1Si-si Dong2Yuan Lan3Chen-wei Wu4Guang-yun Mao5Chao Zheng6Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, No. 109 West Xueyuan Road, Wenzhou, ChinaCenter on Clinical Research, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, ChinaDiabetes Center and Department of Endocrinology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, No. 109 West Xueyuan Road, Wenzhou, ChinaCenter on Clinical Research, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, ChinaDiabetes Center and Department of Endocrinology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, No. 109 West Xueyuan Road, Wenzhou, ChinaCenter on Clinical Research, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, ChinaDiabetes Center and Department of Endocrinology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, No. 109 West Xueyuan Road, Wenzhou, ChinaBackground and Objectives. Diabetic kidney disease is a leading cause of chronic kidney disease and end-stage renal disease across the world. Early identification of DKD is vitally important for the effective prevention and control of it. However, the available indicators are doubtful in the early diagnosis of DKD. This study is aimed at determining novel sensitive and specific biomarkers to distinguish DKD from their counterparts effectively based on the widely targeted metabolomics approach. Materials and Method. This case-control study involved 44 T2DM patients. Among them, 24 participants with DKD were defined as the cases and another 20 without DKD were defined as the controls. The ultraperformance liquid chromatography-electrospray ionization-tandem mass spectrometry system was applied for the assessment of the serum metabolic profiles. Comprehensive analysis of metabolomics characteristics was conducted to detect the candidate metabolic biomarkers and assess their capability and feasibility. Result. A total of 11 differential metabolites, including Hexadecanoic Acid (C16:0), Linolelaidic Acid (C18:2N6T), Linoleic Acid (C18:2N6C), Trans-4-Hydroxy-L-Proline, 6-Aminocaproic Acid, L-Dihydroorotic Acid, 6-Methylmercaptopurine, Piperidine, Azoxystrobin Acid, Lysopc 20:4, and Cuminaldehyde, were determined as the potential biomarkers for the DKD early identification, based on the multivariable generalized linear regression model and receiver operating characteristic analysis. Conclusion. Serum metabolites might act as sensitive and specific biomarkers for DKD early detection. Further longitudinal studies are needed to confirm our findings.http://dx.doi.org/10.1155/2020/3049098 |
| spellingShingle | Hang Zhang Jing-jing Zuo Si-si Dong Yuan Lan Chen-wei Wu Guang-yun Mao Chao Zheng Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics Study Journal of Diabetes Research |
| title | Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics Study |
| title_full | Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics Study |
| title_fullStr | Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics Study |
| title_full_unstemmed | Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics Study |
| title_short | Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics Study |
| title_sort | identification of potential serum metabolic biomarkers of diabetic kidney disease a widely targeted metabolomics study |
| url | http://dx.doi.org/10.1155/2020/3049098 |
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