Abstract:
Diabetic nephropathy (DN) is one of the major complications of diabetes mellitus. Tubular lesions
initially characterize DN before the glomerular injury. Therefore, albuminuria is not sufficient to
diagnose DN. Urinary neutrophil gelatinase-associated lipocalin (NGAL) excretion is elevated in
response to tubular injury. Annexin A3 (ANXA3) gene expression is found in mesangial cells of
renal glomeruli and is linked to mesangial expansion. The aim of this study is to identify potential
diagnostic urinary biomarkers for DN and their correlation with existing renal markers such as
serum creatinine and estimated glomerular filtration rate. RNA extracted from urine samples (n =
82) including DN (n = 17), hypertensive nephropathy (n = 31), chronic kidney disease (CKD) with
both diabetes and hypertension (n = 11), other cause of CKD (n = 13) and healthy controls (HC)
(n = 10) were reverse transcribed and used for gene expression analysis using quantitative
polymerase chain reactions. Gene expression of ANXA3 and NGAL genes were analyzed against
the reference gene, β2-microglobulin (B2M), using the relative quantification method. Fold
changes (FC) of gene expression in DN, hypertensive nephropathy and other CKD study groups
were calculated against HC. Log 2 normalized FC was used to study the significance level and
correlation with existing serum markers. NGAL had greater than fourfold upregulation (FC = 9.83
ǂ 5.31) in DN patients compared with HC. The FC of NGAL in early and late DN was 11.68 ± 7.87
and 5.15 ± 3.07, respectively. Upregulation of the ANXA3 gene was significantly high (p = 0.000),
(FC = 782.91 ± 214.60) in DN compared to other chronic kidney diseases associated with
hypertension and other causes. No significant correlation exists between the identified gene
expression and existing serum markers (p > 0.05). NGAL has a good prognostic value for renal
tubular injury-related biomarkers than glomerular-specific markers like albuminuria to diagnose DN
and assess the disease progression. However, ANXA3 could be a better biomarker for differential
diagnosis of DN relative to the aetiology of CKD. The regulation of these genes and their related
molecular pathways must be studied further in a large cohort for clinal validation.
