Li JJ, Sa RL, Zhang Y, Yan ZL. Evaluating new biomarkers for diabetic nephropathy: Role of α2-macroglobulin, podocalyxin, α-L-fucosidase, retinol-binding protein-4, and cystatin C. World J Diabetes 2024; 15(6): 1212-1225 [PMID: 38983807 DOI: 10.4239/wjd.v15.i6.1212]
Corresponding Author of This Article
Zhao-Li Yan, FAASLD, Chief Doctor, Research Fellow, Department of Endocrinology, The Affiliated Hospital of Inner Mongolia Medical University, No. 1 Tongdao North Road, Hohhot 010000, Inner Mongolia Autonomous Region, China. aliceyzl@126.com
Research Domain of This Article
Endocrinology & Metabolism
Article-Type of This Article
Retrospective Cohort Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Table 3 Partial correlation analysis between cystatin C, retinol-binding protein-4, U-α2- macroglobulin, U-podocalyxin, U-α-L-fucosidase, and clinical indicators
Indicator
CysC
RBP-4
U-α2-MG/UCr
U-PCX/UCr
U-AFU/UCr
r
P value
r
P value
r
P value
r
P value
r
P value
UACR
0.730
< 0.001
0.625
< 0.001
0.805
< 0.001
0.639
< 0.001
0.780
< 0.001
eGFR
-0.816
< 0.001
-0.702
< 0.001
-0.711
< 0.001
-0.604
< 0.001
-0.742
< 0.001
CysC
1.000
-
0.693
< 0.001
0.710
< 0.001
0.645
< 0.001
0.692
< 0.001
RBP-4
0.693
< 0.001
1.000
-
0.530
< 0.001
0.432
< 0.001
0.588
< 0.001
U-α2-MG/UCr
0.710
< 0.001
0.530
< 0.001
1.000
-
0.820
< 0.001
0.874
< 0.001
U-PCX/UCr
0.645
< 0.001
0.432
< 0.001
0.820
< 0.001
1.000
-
0.746
< 0.001
U-AFU/UCr
0.692
< 0.001
0.588
< 0.001
0.874
< 0.001
0.746
< 0.001
1.000
-
Scr
0.953
< 0.001
0.680
< 0.001
0.755
< 0.001
0.645
< 0.001
0.715
< 0.001
Urea
0.799
< 0.001
0.651
< 0.001
0.657
< 0.001
0.568
< 0.001
0.703
< 0.001
UTP/24 h
0.665
< 0.001
0.506
< 0.001
0.740
< 0.001
0.523
< 0.001
0.743
< 0.001
NLR
0.417
< 0.001
0.167
0.018
0.311
< 0.001
0.299
< 0.001
0.313
< 0.001
hs-CRP
0.067
0.343
0.079
0.267
0.094
0.186
0.111
0.118
0.087
0.222
Table 4 Evaluation of area under the curve and its 95% confidence interval for various indicators
Indicators waiting to be measured
AUC
Standard error
P value
95% confidence interval
UACR
0.97
0.01
< 0.001
(0.95, 1.00)
eGFR
0.77
0.03
< 0.001
(0.70, 0.84)
CysC
0.80
0.03
< 0.001
(0.75, 0.86)
RBP-4
0.76
0.03
< 0.001
(0.69, 0.82)
U-α2-MG/UCr
0.83
0.03
< 0.001
(0.78, 0.89)
U-PCX/UCr
0.86
0.03
< 0.001
(0.81, 0.91)
U-AFU/UCr
0.79
0.03
< 0.001
(0.73, 0.85)
U-α2-MG/UCr + U-PCX/UCr
0.88
0.03
< 0.001
(0.83, 0.93)
U-PCX/UCr + U-AFU/UCr
0.88
0.03
< 0.001
(0.84, 0.93)
U-α2-MG/UCr + U-AFU/UCr
0.86
0.03
< 0.001
(0.80, 0.91)
U-α2-MG/UCr + U-PCX/UCr + U-AFU/UCr
0.89
0.03
< 0.001
(0.85, 0.94)
Table 5 Optimal diagnostic cut-off points and their sensitivity and specificity for various indicators
Indicators
Optimal diagnostic cut-off points
Sensitivity
Specificity
Youden index
UACR
29.50
0.95
0.98
0.93
eGFR
74.41
0.96
0.58
0.54
CysC
1.11
0.54
0.99
0.53
RBP-4
56.90
0.45
0.98
0.43
U-α2-MG/UCr
3.90
0.55
0.99
0.54
U-PCX/UCr
4.81
0.84
0.75
0.59
U-AFU/UCr
0.18
0.63
0.92
0.55
U-α2-MG/UCr + U-PCX/UCr
-
0.86
0.76
0.62
U-PCX/UCr + U-AFU/UCr
-
0.75
0.86
0.61
U-α2-MG/UCr + U-AFU/UCr
-
0.68
0.90
0.58
U-α2-MG/UCr + U-PCX/UCr + U-AFU/UCr
-
0.89
0.75
0.64
Citation: Li JJ, Sa RL, Zhang Y, Yan ZL. Evaluating new biomarkers for diabetic nephropathy: Role of α2-macroglobulin, podocalyxin, α-L-fucosidase, retinol-binding protein-4, and cystatin C. World J Diabetes 2024; 15(6): 1212-1225