Plausible diagnostic value of urinary isomeric dimethylarginine ratio for diabetic nephropathy

Dharmeshkumar Parmar, Nivedita Bhattacharya, Shanthini Kannan, Sangeetha Vadivel, Gautam Kumar Pandey, Avinash Ghanate, Nagarjuna Chary Ragi, Paramasivam Prabu, Thyparambil Aravindakshan Pramodkumar, Nagaraj Manickam, Viswanathan Mohan, Prabhakar Sripadi, Gokulakrishnan Kuppan, Venkateswarlu Panchagnula

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3 Citaten (Scopus)

Samenvatting

Altered circulatory asymmetric and symmetric dimethylarginines have been independently reported in patients with end-stage renal failure suggesting their potential role as mediators and early biomarkers of nephropathy. These alterations can also be reflected in urine. Herein, we aimed to evaluate urinary asymmetric to symmetric dimethylarginine ratio (ASR) for early prediction of diabetic nephropathy (DN). In this cross-sectional study, individuals with impaired glucose tolerance (IGT), newly diagnosed diabetes (NDD), diabetic microalbuminuria (MIC), macroalbuminuria (MAC), and normal glucose tolerance (NGT) were recruited from Dr. Mohans’ Diabetes Specialties centre, India. Urinary ASR was measured using a validated high-throughput MALDI-MS/MS method. Significantly lower ASR was observed in MIC (0.909) and MAC (0.741) in comparison to the NGT and NDD groups. On regression models, ASR was associated with MIC [OR: 0.256; 95% CI: 0.158–0.491] and MAC [OR 0.146; 95% CI: 0.071–0.292] controlled for all the available confounding factors. ROC analysis revealed ASR cut-point of 0.95 had C-statistic of 0.691 (95% CI: 0.627-0.755) to discriminate MIC from NDD with 72% sensitivity. Whereas, an ASR cut-point of 0.82 had C-statistic of 0.846 (95% CI: 0.800 - 0.893) had 91% sensitivity for identifying MAC. Our results suggest ASR as a potential early diagnostic biomarker for DN among the Asian Indians.

Originele taal-2English
Artikelnummer2970
TijdschriftScientific reports
Volume10
Nummer van het tijdschrift1
DOI's
StatusPublished - 1 dec 2020

Bibliografische nota

Funding Information:
This study was in part funded by Council for Scientific and Industrial Research (CSIR-India, TFYP CMET grant CSC0110 and infrastructure grant), Department of Science and Technology India (SERB grant EMR/2016/000167), Department of Biotechnology Ramalingaswami Fellowship (VP), and Indian Council of Medical Research (KG, SK).

Publisher Copyright:
© 2020, The Author(s).

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

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