Literature DB >> 32057966

Potential biomarkers for early detection of diabetic kidney disease.

Salman Hussain1, Anwar Habib2, Md Sarfaraj Hussain3, Abul Kalam Najmi4.   

Abstract

INTRODUCTION: To assess the potential of galectin-3 and growth differentiation factor-15 (GDF-15) biomarkers for the early detection of diabetic kidney disease (DKD).
METHODOLOGY: This was a cross-sectional study conducted over a period of 1.2 years. Patients were stratified based on estimated glomerular filtration rate (eGFR) and albuminuria level. The receiver operating characteristic (ROC) curve was plotted to assess the diagnostic potential of biomarkers.
RESULTS: A total of 90 patients included in this study. Patients were grouped as normoalbuminuria (30 patients), microalbuminuria (30 patients), and macroalbuminuria (30 patients). Galectin-3 and GDF-15 levels were significantly elevated in T2DM patients with macroalbuminuria (p = <0.05). Higher levels of galectin-3 and GDF-15 were found in patients with poor kidney function (Stage IV-V CKD). Negative correlation was observed between galectin- 3 (r = -0.472) and eGFR (p = 0.000), GDF-15 (r = -0.917) and eGFR (p <0.000). The ROC analysis yielded an area under curve (AUC) of 0.776 (95% CI: 0.677 to 0.875; p = <0.0001) for galectin-3 and an AUC of 0.963 (95% CI: 0.929 to 0.997; p = <0.0001) for GDF-15.
CONCLUSION: In DKD patients the galectin-3 and GDF-15 levels were inversely related to the eGFR which was further confirmed by the ROC curve demonstrating the potential of galectin-3 and GDF-15 as a biomarker.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarker; Chronic kidney disease; Diabetic kidney disease; Galectin-3, GDF-15; T2DM

Mesh:

Substances:

Year:  2020        PMID: 32057966     DOI: 10.1016/j.diabres.2020.108082

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  7 in total

1.  Capability of intravoxel incoherent motion and diffusion tensor imaging to detect early kidney injury in type 2 diabetes.

Authors:  Haoran Zhang; Peng Wang; Dafa Shi; Xiang Yao; Yanfei Li; Xuedan Liu; Yang Sun; Jie Ding; Siyuan Wang; Guangsong Wang; Ke Ren
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2.  Prevalence of peripheral neuropathy and associated pain in patients with diabetes mellitus: Evidence from a cross-sectional study.

Authors:  Harveen Baxi; Anwar Habib; Md Sarfaraj Hussain; Salman Hussain; Kiran Dubey
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3.  The association of erythrocyte sedimentation rate, high-sensitivity C-reactive protein and diabetic kidney disease in patients with type 2 diabetes.

Authors:  Shizhe Guo; Meng Wang; Yifei Yu; Yeping Yang; Fangfang Zeng; Fei Sun; Qin Li; Min He; Yiming Li; Jie Wen; Wei Gong; Zhaoyun Zhang
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Review 4.  New insights into diabetes mellitus and its complications: a narrative review.

Authors:  Fei Hua
Journal:  Ann Transl Med       Date:  2020-12

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Journal:  J Clin Med       Date:  2022-03-05       Impact factor: 4.241

Review 6.  Emerging Biomarkers for Early Detection of Chronic Kidney Disease.

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Review 7.  Galectin-3 in Kidney Diseases: From an Old Protein to a New Therapeutic Target.

Authors:  Louis Boutin; François Dépret; Etienne Gayat; Matthieu Legrand; Christos E Chadjichristos
Journal:  Int J Mol Sci       Date:  2022-03-14       Impact factor: 5.923

  7 in total

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