Estimation of the Various Urinary Biomarkers among the Non-Hypertensive Type 2 Diabetic Patients with Nephropathy

Introduction: Alteration in the various markers is seen in diabetic nephropathy (DN). In the current research, four different markers were evaluated and were examined for their diagnostic value in the nephropathic type 2 diabetes patients. Methods: A prospective clinical trial was piloted with diabe...

Full description

Bibliographic Details
Main Authors: Sudarshan Chakraborty, Shigil M Varghese, Sanjay Gabhale, Ankit Shah, Chapala Shashank, Smit Thakkar
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-01-01
Series:Journal of Pharmacy and Bioallied Sciences
Subjects:
Online Access:http://www.jpbsonline.org/article.asp?issn=0975-7406;year=2024;volume=16;issue=5;spage=286;epage=289;aulast=Chakraborty
_version_ 1797222322076123136
author Sudarshan Chakraborty
Shigil M Varghese
Sanjay Gabhale
Ankit Shah
Chapala Shashank
Smit Thakkar
author_facet Sudarshan Chakraborty
Shigil M Varghese
Sanjay Gabhale
Ankit Shah
Chapala Shashank
Smit Thakkar
author_sort Sudarshan Chakraborty
collection DOAJ
description Introduction: Alteration in the various markers is seen in diabetic nephropathy (DN). In the current research, four different markers were evaluated and were examined for their diagnostic value in the nephropathic type 2 diabetes patients. Methods: A prospective clinical trial was piloted with diabetic male subjects with nephropathy. The subjects were followed up for 9 months. Thirty subjects were recruited as type 2 diabetes mellitus patients without nephropathy as controls. The interventional groups were grouped again as microalbuminuria, normoalbuminuria, and hyperfiltration. All of them underwent testing for urinary biomarkers like urine protein, ACR, HbA1C, and estimated glomerular filtration rate (eGFR). Correlation and logistic regression were used to compare all diagnostic tests across various groupings. Results: The greatest area under curve (AUC) values were .90 and .91 for AGT and AGT/Cr, respectively. The AUC, specificity, sensitivity, and cut-off value of AGT/Cr were, respectively, .91, 85%, 91%, and 4.36 mg/g. When using urine as the cut-off, the sensitivity was 42 and 100 for ACR and eGFR both. All other biomarkers had lower values than the AGT. Less than. 50 was evident for NGAL/Cr and NAGL. Conclusions: To identify DN, before the initiation of the albuminuria, compared to other diagnostic markers, urinary AGT demonstrated a greater diagnostic value. Further research is suggested to corroborate the findings.
first_indexed 2024-04-24T13:19:29Z
format Article
id doaj.art-7a53c07e80084aeab7f5eec773088286
institution Directory Open Access Journal
issn 0975-7406
language English
last_indexed 2024-04-24T13:19:29Z
publishDate 2024-01-01
publisher Wolters Kluwer Medknow Publications
record_format Article
series Journal of Pharmacy and Bioallied Sciences
spelling doaj.art-7a53c07e80084aeab7f5eec7730882862024-04-04T16:37:39ZengWolters Kluwer Medknow PublicationsJournal of Pharmacy and Bioallied Sciences0975-74062024-01-0116528628910.4103/jpbs.jpbs_494_23Estimation of the Various Urinary Biomarkers among the Non-Hypertensive Type 2 Diabetic Patients with NephropathySudarshan ChakrabortyShigil M VargheseSanjay GabhaleAnkit ShahChapala ShashankSmit ThakkarIntroduction: Alteration in the various markers is seen in diabetic nephropathy (DN). In the current research, four different markers were evaluated and were examined for their diagnostic value in the nephropathic type 2 diabetes patients. Methods: A prospective clinical trial was piloted with diabetic male subjects with nephropathy. The subjects were followed up for 9 months. Thirty subjects were recruited as type 2 diabetes mellitus patients without nephropathy as controls. The interventional groups were grouped again as microalbuminuria, normoalbuminuria, and hyperfiltration. All of them underwent testing for urinary biomarkers like urine protein, ACR, HbA1C, and estimated glomerular filtration rate (eGFR). Correlation and logistic regression were used to compare all diagnostic tests across various groupings. Results: The greatest area under curve (AUC) values were .90 and .91 for AGT and AGT/Cr, respectively. The AUC, specificity, sensitivity, and cut-off value of AGT/Cr were, respectively, .91, 85%, 91%, and 4.36 mg/g. When using urine as the cut-off, the sensitivity was 42 and 100 for ACR and eGFR both. All other biomarkers had lower values than the AGT. Less than. 50 was evident for NGAL/Cr and NAGL. Conclusions: To identify DN, before the initiation of the albuminuria, compared to other diagnostic markers, urinary AGT demonstrated a greater diagnostic value. Further research is suggested to corroborate the findings.http://www.jpbsonline.org/article.asp?issn=0975-7406;year=2024;volume=16;issue=5;spage=286;epage=289;aulast=Chakrabortyalbuminuriaangiotensinogenbiomarkersdiabeticnephropathy
spellingShingle Sudarshan Chakraborty
Shigil M Varghese
Sanjay Gabhale
Ankit Shah
Chapala Shashank
Smit Thakkar
Estimation of the Various Urinary Biomarkers among the Non-Hypertensive Type 2 Diabetic Patients with Nephropathy
Journal of Pharmacy and Bioallied Sciences
albuminuria
angiotensinogen
biomarkers
diabetic
nephropathy
title Estimation of the Various Urinary Biomarkers among the Non-Hypertensive Type 2 Diabetic Patients with Nephropathy
title_full Estimation of the Various Urinary Biomarkers among the Non-Hypertensive Type 2 Diabetic Patients with Nephropathy
title_fullStr Estimation of the Various Urinary Biomarkers among the Non-Hypertensive Type 2 Diabetic Patients with Nephropathy
title_full_unstemmed Estimation of the Various Urinary Biomarkers among the Non-Hypertensive Type 2 Diabetic Patients with Nephropathy
title_short Estimation of the Various Urinary Biomarkers among the Non-Hypertensive Type 2 Diabetic Patients with Nephropathy
title_sort estimation of the various urinary biomarkers among the non hypertensive type 2 diabetic patients with nephropathy
topic albuminuria
angiotensinogen
biomarkers
diabetic
nephropathy
url http://www.jpbsonline.org/article.asp?issn=0975-7406;year=2024;volume=16;issue=5;spage=286;epage=289;aulast=Chakraborty
work_keys_str_mv AT sudarshanchakraborty estimationofthevariousurinarybiomarkersamongthenonhypertensivetype2diabeticpatientswithnephropathy
AT shigilmvarghese estimationofthevariousurinarybiomarkersamongthenonhypertensivetype2diabeticpatientswithnephropathy
AT sanjaygabhale estimationofthevariousurinarybiomarkersamongthenonhypertensivetype2diabeticpatientswithnephropathy
AT ankitshah estimationofthevariousurinarybiomarkersamongthenonhypertensivetype2diabeticpatientswithnephropathy
AT chapalashashank estimationofthevariousurinarybiomarkersamongthenonhypertensivetype2diabeticpatientswithnephropathy
AT smitthakkar estimationofthevariousurinarybiomarkersamongthenonhypertensivetype2diabeticpatientswithnephropathy