Abstract:
Objective To investigate the application value of Multi-Latex polygranular technique joint detection of kidney injury-related urinary microproteins in noninvasive diagnosis after renal transplantation.
Methods Clinical data of 72 recipients undergoing renal transplantation were retrospectively analyzed. According to the level of serum creatinine (Scr), the recipients were divided into normal renal function group (group A, n=14), mild kidney injury (group B, n=37), and severe kidney injury group (group C, n=21). 20 healthy volunteers were selected as the healthy control group (HC group). The contents of urinary retinol binding protein (RBP), microalbumin (mAlb), IgG, transferrin (TRF), α1-microglobulin (MG), and β2-MG of subjects in each group were detected using the Multi-Latex polygranular technique. The correlation between urinary microproteins and Scr, blood urea nitrogen (BUN) was analyzed. The differences of urinary microproteins in each group were compared. And the diagnostic value of single and joint detection of urinary microproteins was evaluated.
Results Six kinds of urinary microproteins in HC group and group A were significantly lower than those in group B and group C, and six kinds of urinary microproteins in group B were significantly lower than those in group C (all P < 0.01). Six kinds of urinary microproteins in renal transplant recipients were positively correlated with BUN. RBP, mAlb, α1-MG, and β2-MG were positively correlated with Scr. The correlations were statistically significant (P < 0.001-0.05). The diagnostic value of joint detection of urinary microproteins is better than the detection of single index, among which TRF+mAlb+RBP+α1-MG quadruple detection had the highest diagnostic value.
Conclusions Six kinds of urinary microproteins can be used as specific indicators to reflect graft renal function. The polygranular technique can simultaneously detect its contents and achieve noninvasive diagnosis. The diagnosis based on TRF+mAlb+RBP+α1-MG quadruple detection is expected to further improve the noninvasive diagnosis system after renal transplantation.