ArticleFrontiers in endocrinology2024
Predictive value of bone metabolism markers in the progression of diabetic kidney disease: a cross-sectional study.
Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Fibroblast growth factor 23 levels and the risk of diabetic kidney disease: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Construction of a prognostic assessment model for diabetic nephropathy based on serum fibrinogen and renal tissue IFTA score.Journal of diabetes investigation · 2026Article
- A modern reinterpretation of the "kidney governs bone" theory: systemic regulation of the neuro-endocrine-immune network via the brain-bone axis and traditional chinese medicine intervention strategies.Frontiers in pharmacology · 2026Review
- Machine learning model based on routine blood and biochemical parameters for early diagnosis of diabetic kidney disease.Frontiers in endocrinology · 2026Article
- Dysregulation of mineral metabolism: association of albumin-corrected calcium and vitamin D with diabetic kidney disease in type 2 diabetes-a cross-sectional study.European journal of medical research · 2025Article
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Authors and funding
9 authors.
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Abstract
Objective: This study aimed to investigate the relationship between bone metabolism markers, including serum klotho, fibroblast growth factor 23 (FGF23), 25(OH)D3, iPTH, calcium (Ca), and PHOS and the progression of diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM). Additionally, the predictive value of these markers for DKD progression was evaluated. Methods: This study involved 126 patients with T2DM between May 2021 and March 2023. DKD staging was assessed based on urinary protein excretion rates and estimated glomerular filtration rate (eGFR). The study evaluated serum concentrations of klotho, FGF23, 25(OH)D3, iPTH, Ca and PHOS across various stages and examined their relationships with clinical parameters. Receiver operating characteristic (ROC) curve analysis was utilized to determine the predictive accuracy of these bone metabolism markers for DKD. Multivariate linear and logistic regression analyses identified risk factors linked to DKD severity. Results: Among the 126 participants, 30 had non-DKD with normal proteinuria, while 96 had DKD, categorized as 31 with stage III DKD (microproteinuria), 34 with stage IV DKD, and 31 with stage V DKD (massive proteinuria). With advancing DKD from stage III to V, levels of klotho, 25(OH)D3, and Ca decreased significantly, whereas FGF23, iPTH and PHOS levels increased markedly. Klotho is significantly positively correlated with eGFR ( Conclusion: Bone metabolism markers, such as klotho, FGF23, 25(OH)D3, iPTH, Ca and PHOS are intricately linked to DKD progression and may function as valuable predictive biomarkers.
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