Introduction: Idiopathic nephrotic syndrome (INS) is the most common glomerular disease in children. Immune cell subsets may play a role in pathogenesis of INS. We aimed to assess immunoglobulin G (IgG) and immunoglobulin M (IgM) levels in children with nephrotic syndrome (NS) to predict prognosis of the disease and response to treatment.

Methods: This prospective case control study was done in Pediatric Nephrology Units at Minoufia and Benha University Hospitals, during the period from   1st March 2014 to 30th June 2015. Seventy-five children in the active stage of INS and 75 apparently healthy children of matched age and sex were included in this study. Statistical evaluation was performed by SPSS version 18.0 using independent-samples t-test, Chi-square, and Pearson's correlation coefficient (r). 

Results: Compared with healthy children, IgM level was high, IgG level and IgG/IgM ratio were low (p≤0.05). The IgG level and IgG/IgM ratio decreased more in FRNS than in IFRNS group, and was the lowest in SRNS group. The IgM level increased more in FRNS than in IFRNS group, and was the highest in SRNS group (p<0.05, respectively). 

Conclusions: Our findings support the idea that IgG level has a prognostic value in NS in children


Keywords: Nephrotic syndrome, Immunoglobulins, Children
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October-December 2019 (Volume 11, Issue 4)


The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.

The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:


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Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: