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. 2005 Dec;68(6):2588-92.
doi: 10.1111/j.1523-1755.2005.00730.x.

Prediction of urinary protein markers in lupus nephritis

Jim C Oates  1 , Sanju Varghese, Alison M Bland, Timothy P Taylor, Sally E Self, Romesh Stanislaus, Jonas S Almeida, John M Arthur
Affiliations

Prediction of urinary protein markers in lupus nephritis

Jim C Oates et al. Kidney Int. 2005 Dec.

Abstract

Background: Lupus nephritis is divided into six classes and scored according to activity and chronicity indices based on histologic findings. Treatment differs based on the pathologic findings. Renal biopsy is currently the only way to accurately predict class and activity and chronicity indices. We propose to use patterns of abundance of urine proteins to identify class and disease indices.

Methods: Urine was collected from 20 consecutive patients immediately prior to biopsy for evaluation of lupus nephritis. The International Society of Nephrology/Renal Pathology Society (ISN/RPS) class of lupus nephritis, activity, and chronicity indices were determined by a renal pathologist. Proteins were separated by two-dimensional gel electrophoresis. Artificial neural networks were trained on normalized spot abundance values.

Results: Biopsy specimens were classified in the database according to ISN/RPS class, activity, and chronicity. Nine samples had characteristics of more than one class present. Receiver operating characteristic (ROC) curves of the trained networks demonstrated areas under the curve ranging from 0.85 to 0.95. The sensitivity and specificity for the ISN/RPS classes were class II 100%, 100%; III 86%, 100%; IV 100%, 92%; and V 92%, 50%. Activity and chronicity indices had r values of 0.77 and 0.87, respectively. A list of spots was obtained that provided diagnostic sensitivity to the analysis.

Conclusion: We have identified a list of protein spots that can be used to develop a clinical assay to predict ISN/RPS class and chronicity for patients with lupus nephritis. An assay based on antibodies against these spots could eliminate the need for renal biopsy, allow frequent evaluation of disease status, and begin specific therapy for patients with lupus nephritis.

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Figures

Fig. 1
Fig. 1. Two-dimensional gel separation of proteins from a patient with class V lupus nephritis
Proteins were stained with Sypro Ruby. Numbers correspond to proteins that were important in identifying the International Society of Nephrology/Renal Pathology Society (ISN/RPS) class, activity, and chronicity as listed in Table 2.
Fig. 2
Fig. 2. Predicted vs. observed values from a trained artificial neural network for chronicity index
A correlation with a Pearson’s correlation coefficient of 0.87 was obtained. Symbols are: (○), training data; (●), internal validation set.
See this image and copyright information in PMC

Comment in

References

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