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Biomarkers for Detecting Kidney Dysfunction in Type-2 Diabetics and Diabetic Nephropathy Subjects: A Case-Control Study to Identify Potential Biomarkers of DN to Stratify Risk of Progression in T2D Patients. | LitMetric

AI Article Synopsis

  • There are currently no effective biomarkers to predict when patients with type-2 diabetes will develop more severe kidney disease, known as diabetic nephropathy, which could help in timely treatment and management.
  • A study involving 88 participants (with varying conditions related to diabetes and kidney disease) found significant differences in several biomarkers in urine and serum, indicating potential predictors for disease progression.
  • The pilot study identified midkine, sTNFR1 and 2, H-FABP, and Cystatin C as promising serum biomarkers, suggesting further research is needed to confirm these findings in larger studies.

Article Abstract

Introduction: Currently there are no biomarkers that are predictive of when patients with type-2 diabetes (T2D) will progress to more serious kidney disease i.e., diabetic nephropathy (DN). Biomarkers that could identify patients at risk of progression would allow earlier, more aggressive treatment intervention and management, reducing patient morbidity and mortality.

Materials And Methods: Study participants (N=88; control n=26; T2D n=32; DN n=30) were recruited from the renal unit at Antrim Area Hospital, Antrim, UK; Whiteabbey Hospital Diabetic Clinic, Newtownabbey, UK; Ulster University (UU), Belfast, UK; and the University of the Third Age (U3A), Belfast, UK; between 2019 and 2020. Venous blood and urine were collected with a detailed clinical history for each study participant.

Results: In total, 13/25 (52.0%) biomarkers measured in urine and 25/34 (73.5%) biomarkers measured in serum were identified as significantly different between control, T2D and DN participants. DN patients, were older, smoked more, had higher systolic blood pressure and higher serum creatinine levels and lower eGFR function. Serum biomarkers significantly inversely correlated with eGFR.

Conclusion: This pilot-study identified several serum biomarkers that could be used to predict progression of T2D to more serious kidney disease: namely, midkine, sTNFR1 and 2, H-FABP and Cystatin C. Our results warrant confirmation in a longitudinal study using a larger patient cohort.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276980PMC
http://dx.doi.org/10.3389/fendo.2022.887237DOI Listing

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