Abstract
Abnormal glomerular permeability is the primary step towards the glomerulosclerosis. The progression rate of glomerulosclerosis is proportionate to abundance and severity of lesions created at incipient stage, which is reflected as proteinuria even though eGFR remains in the normal range. Therefore, there is a current need to find out the association between relative risks for the factors leading to proteinuria. The relations could be more informative, if it is with respect to the macromolecules like “IgG” excretion in urine. Type 2 diabetic patients were selected for this study with eGFR > 75 ml/min/1.73 m2 and grouped into four quartiles based on UIgGCR. The markers of key factors affecting progression of proteinuria were estimated through biochemical tests. The impact of these markers on proteinuria was accessed by applying multinomial logistic regression. The adjusted odds ratio for the UGAGCR was 1.186 (95 % CI: 1.061–1.327) P < 0.003 in highest quartiles of UIgGCR, followed by odds ratio for markers of collagen catabolism 1.051 (95 % CI: 1.025–1.079) P < 0.001, and USACR 1.044 (95 % CI: 1.013–1.077) P < 0.006 respectively. The marker of glycation, i.e., glycated hemoglobin showed the highest odds ratio 5.449 (95 % CI: 1.132–26.236) P < 0.035. In addition, odds for the systolic blood pressure was observed 1.387 (95 % CI: 1.124–1.712) P < 0.002. The higher odds inform and could help to discriminate the diabetic patients with fast progressive diabetic nephropathy. The study describes critical relationship between the urinary excretion of IgG and factors leading to proteinuria in type 2 diabetic patients.
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Abbreviations
- UGAGCR:
-
Urinary glycosaminoglycan creatinine ratio
- UHPCR:
-
Urinary hydroxi-proline creatinine ratio
- USACR:
-
Urinary sialic acid creatinine ratio
- UIgGCR:
-
Urinary IgG creatinine ratio
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Acknowledgments
We acknowledge to the Gujarat State Biotechnology Mission (GSBTM), Gujarat, India, and UGC, New Delhi, India, for providing financial assistance. We are thankful to Prof. Arvind Pandey (Director), Institute for Research in Medical Statistics (ICMR), New Delhi, India, for their assistance in statistical analysis; of lastly, we are thankful to every person who has co-operated with us on this research project.
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The authors stated that there are no conflicts of interest regarding the publication of this article.
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Mohan, S., Kalia, K. & Mannari, J. Association Between Urinary IgG and Relative Risk for Factors Affecting Proteinuria in Type 2 Diabetic Patients. Ind J Clin Biochem 27, 333–339 (2012). https://doi.org/10.1007/s12291-012-0227-6
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DOI: https://doi.org/10.1007/s12291-012-0227-6