ArticleJournal of diabetes research2020
Identification of Potential Serum Metabolic Biomarkers of Diabetic Kidney Disease: A Widely Targeted Metabolomics Study.
Article in Journal of diabetes research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metabolomics approaches for the early detection and therapeutics: type 2 diabetes-induced diabetic kidney disease-a systematic review and meta-analysis.Metabolomics : Official journal of the Metabolomic Society · 2025Pooled it
- Identification of diagnostic markers for diabetic kidney disease by weighted gene co‑expression network analysis and machine learning.International journal of molecular medicine · 2026Article
- Optimizing Early Detection of Diabetic Kidney Disease through Synergistic Biomarkers and Serum Metabolites in Humans.Diabetes & metabolism journal · 2026Article
- Serum metabolomics identifies gut-derived uremic toxins and bile acid dysregulation associated with chronic kidney disease severity.Scientific reports · 2026Article
- Urinary biomarkers of diabetic kidney disease.World journal of diabetes · 2026Review
- Rapid LC-MS/MS-based quantitative serum tryptophan metabolomics platform identifies and monitors novel biomarkers for diabetic kidney disease.Analytical and bioanalytical chemistry · 2026Article
- Mining biomarkers for type 2 diabetic nephropathy based on urinary proteomics and metabolomics.Frontiers in endocrinology · 2026Article
- Comprehensive and quantitative urinary metabolomic profiling for improved characterization of diabetic nephropathy.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Predicting diabetic kidney disease with serum metabolomics and gut microbiota.Scientific reports · 2025Article
- Lipidomics reveals potential biomarkers and pathophysiological insights in the progression of diabetic kidney disease.Metabolism open · 2025Article
- Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.Diabetic medicine : a journal of the British Diabetic Association · 2025Review
- Identification of potential biomarkers for diabetic nephropathy via UPLC-MS/MS-based metabolomics.Frontiers in endocrinology · 2025Article
- The Potential Use of Targeted Proteomics and Metabolomics for the Identification and Monitoring of Diabetic Kidney Disease.Journal of personalized medicine · 2024Review
- Integration of texture analysis based on DCE-MRI KBMC medical imaging · 2024Article
- Advanced Mass Spectrometry-Based Biomarker Identification for Metabolomics of Diabetes Mellitus and Its Complications.Molecules (Basel, Switzerland) · 2024Review
- Metabolomics for Clinical Biomarker Discovery and Therapeutic Target Identification.Molecules (Basel, Switzerland) · 2024Review
- Lipidomics Profiling Reveals Serum Phospholipids Associated with Albuminuria in Early Type 2 Diabetic Kidney Disease.ACS omega · 2023Article
- Serum metabolomics detected by LDI-TOF-MS can be used to distinguish between diabetic patients with and without diabetic kidney disease.FEBS open bio · 2023Article
- Amino acid analysis as a method of discovering biomarkers for diagnosis of diabetes and its complications.Amino acids · 2023Review
- Application of Metabolomics and Traditional Chinese Medicine for Type 2 Diabetes Mellitus Treatment.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
resultA 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.
conclusionSerum metabolites might act as sensitive and specific biomarkers for DKD early detection. Further longitudinal studies are needed to confirm our findings.
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