Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics Study
Joint Authors
Zhang, Hang
Zuo, Jing-jing
Dong, Si-si
Lan, Yuan
Wu, Chen-wei
Mao, Guang-yun
Zheng, Chao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhang, Hang& Zuo, Jing-jing& Dong, Si-si& Lan, Yuan& Wu, Chen-wei& Mao, Guang-yun…[et al.]. 2020. Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics Study. Journal of Diabetes Research،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1183000
Modern Language Association (MLA)
Zhang, Hang…[et al.]. Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics Study. Journal of Diabetes Research No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1183000
American Medical Association (AMA)
Zhang, Hang& Zuo, Jing-jing& Dong, Si-si& Lan, Yuan& Wu, Chen-wei& Mao, Guang-yun…[et al.]. Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics Study. Journal of Diabetes Research. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1183000
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183000