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Searching for potential biomarkers reflecting early injury and progressive of podocytes in nephropathy based on cellular metabolomics combined with ROC analysis
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Yun-feng ZHU1, 3, Ting CUI1, Yi-rui ZHAO2, Xue-mei QIN1, *, Zhan-xin YAO3, *, Wei-na GAO3, *, Ai-ping LI1, *
Acta Pharmaceutica Sinica | 2023, 58(7) : 1833 - 1841
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Acta Pharmaceutica Sinica | 2023, 58(7): 1833-1841
Original Articles
Searching for potential biomarkers reflecting early injury and progressive of podocytes in nephropathy based on cellular metabolomics combined with ROC analysis
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Yun-feng ZHU1, 3, Ting CUI1, Yi-rui ZHAO2, Xue-mei QIN1, *, Zhan-xin YAO3, *, Wei-na GAO3, *, Ai-ping LI1, *
Affiliations
  • 1. Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China
  • 2. Shanxi Provincial Integrated Traditional Chinese and Western Medicine Hospital, Taiyuan 030006, China
  • 3. Institute of Environmental and Operation Medicine, Tianjin 300050, China
Published: 2023-07-12 doi: 10.16438/j.0513-4870.2022-1234
Outline
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The pathogenesis of the nephrotic syndrome is complex and the pathological types are diverse, so the minor symptoms in its early phases are difficult to detect. Renal biopsy is the gold indicator for the diagnosis of renal pathology and progression, but poor patient compliance shows, and the optimal treatment time is often delayed. Therefore, the discovery of biomarkers for early diagnosis and disease progression monitoring is of great clinical significance. In this study, doxorubicin-injured podocyte models were used to simulate human kidney disease at different stages of progression. LC-MS-based metabolomic technology combined with statistical methods was used to screen and identify the potential biomarkers associated with early injury or progression of podocytes. The results of cell viability, apoptosis tests and podocyte structural protein analysis showed that the model was successfully constructed, and the degree of podocyte injury was significantly different between the two modeling methods. According to VIP > 1 and P < 0.05 based on the orthogonal partial least squares discriminant analysis (OPLS-DA) model, nine differential metabolites reflecting early podocyte injury and twelve differential metabolites reflecting the injury progression were screened, respectively. ROC analysis was adopted to focus on the potential biomarkers that can reflecting the early podocyte injury including L-tryptophan, guanosine triphosphate (GTP), 5′-thymidylic acid (dTMP) and thymidine, and the biomarkers reflecting the injury progression of podocytes composed of L-phenylalanine, L-tyrosine acid, uridine 5′-diphosphate (UDP) and guanosine 5′-diphosphate (GDP) AUC > 0.85. It indicated that these eight metabolites may have high sensitivity and diagnostic ability. This study provides a reference for the research on biomarkers of progressive diseases.

LC-MS  /  metabolomics  /  podocyte  /  ROC  /  potential biomarker
Yun-feng ZHU, Ting CUI, Yi-rui ZHAO, Xue-mei QIN, Zhan-xin YAO, Wei-na GAO, Ai-ping LI. Searching for potential biomarkers reflecting early injury and progressive of podocytes in nephropathy based on cellular metabolomics combined with ROC analysis[J]. Acta Pharmaceutica Sinica, 2023 , 58 (7) : 1833 -1841 . DOI: 10.16438/j.0513-4870.2022-1234
Year 2023 volume 58 Issue 7
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Article Info
doi: 10.16438/j.0513-4870.2022-1234
  • Receive Date:2022-11-16
  • Online Date:2025-11-21
  • Published:2023-07-12
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History
  • Received:2022-11-16
  • Revised:2023-03-06
Funding
Affiliations
    1. Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China
    2. Shanxi Provincial Integrated Traditional Chinese and Western Medicine Hospital, Taiyuan 030006, China
    3. Institute of Environmental and Operation Medicine, Tianjin 300050, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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