Urine metabolomics reveals biomarkers and the underlying pathogenesis of diabetic kidney disease: nephrology : original paper
Diabetic kidney disease (DKD) is the most common complication of type 2 diabetes mellitus (T2DM), and its pathogenesis is not yet fully understood and lacks noninvasive and effective diagnostic biomarkers. In this study, we performed urine metabolomics to identify biomarkers for DKD and to clarify t...
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| Hauptverfasser: | , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
April 2023
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| In: |
International urology and nephrology
Year: 2023, Jahrgang: 55, Heft: 4, Pages: 1001-1013 |
| ISSN: | 1573-2584 |
| DOI: | 10.1007/s11255-022-03326-x |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s11255-022-03326-x Verlag, lizenzpflichtig, Volltext: https://link.springer.com/article/10.1007/s11255-022-03326-x 
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| Verfasserangaben: | Maolin Luo, Zeyu Zhang, Yongping Lu, Weifeng Feng, Hongwei Wu, Lijing Fan, Baozhang Guan, Yong Dai, Donge Tang, Xiangnan Dong, Chen Yun, Berthold Hocher, Haiping Liu, Qiang Li, Lianghong Yin |
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| 520 | |a Diabetic kidney disease (DKD) is the most common complication of type 2 diabetes mellitus (T2DM), and its pathogenesis is not yet fully understood and lacks noninvasive and effective diagnostic biomarkers. In this study, we performed urine metabolomics to identify biomarkers for DKD and to clarify the potential mechanisms associated with disease progression. | ||
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