BioMed Research International

BioMed Research International / 2018 / Article

Research Article | Open Access

Volume 2018 |Article ID 3480309 |

Ching-Chung Hsiao, Kun-Hua Tu, Chun-Yih Hsieh, Cheng-Chia Lee, Chih-Hsiang Chang, Pei-Chun Fan, Ya-Chung Tian, Ji-Tseng Fang, "Immunoglobulin E and G Levels in Predicting Minimal Change Disease before Renal Biopsy", BioMed Research International, vol. 2018, Article ID 3480309, 6 pages, 2018.

Immunoglobulin E and G Levels in Predicting Minimal Change Disease before Renal Biopsy

Academic Editor: Maria Stangou
Received13 Jun 2018
Revised01 Oct 2018
Accepted24 Oct 2018
Published11 Nov 2018


Purpose. The diagnosis of minimal change disease in adults relies mainly on renal biopsy, but this procedure is not without complications. Despite the advancements in technique of percutaneous renal biopsy, biopsy-related complications still occur. Bleeding is one of the major complications, which may lead to hemodynamic instability and, sometimes, even death. Thus, we developed a model to predict MCD for high-risk patients unsuitable for renal biopsy. Methods. We enrolled 142 patients with nephrotic syndrome who received renal biopsy between October 2007 and April 2011 at one tertiary medical center in this study. Demographic, clinical, and prebiopsy laboratory variables were retrospectively recorded and analyzed. Results. The overall prevalence of MCD was 26.8%. Age, hemoglobin levels, 24-hour urine protein, immunoglobulin (Ig) G, and IgE differed significantly between the MCD and non-MCD groups. Logistic regression analysis showed a significant increase in the risk of developing MCD as the number of Ig risk factors, namely, IgG < 450 mg/dl and IgE > 110 mg/dl, increased. Having both risk factors significantly increased the chances of receiving a diagnosis of MCD (by 31.84-fold, P =.007) compared with having neither. Combining the aforementioned clinical model and the 2 Ig risk factors was the best in predicting the diagnosis of MCD, with the area under a receiver-operating characteristic curve of 0.91. Conclusions. Combining clinical model and this 2 Ig risk factors provides physicians simple and valuable clinical markers to diagnose MCD.

1. Introduction

Minimal change disease (MCD) is not only the most common disease underlying childhood nephrotic syndrome, but also a major cause of nephrotic syndrome in adults. Approximately 10–15% of adult-onset nephrotic syndrome results from MCD. Diagnosis of nephrotic syndrome in children is usually based on clinical presentation, and renal biopsy is not routinely required. The International Study of Kidney Disease in Children series demonstrated that MCD accounts for 70–90% of nephrotic syndrome in children, and that 93% of children with MCD and 25–50% of children with focal segmental glomerulosclerosis (FSGS) or mesangial proliferative glomerulonephritis (MPGN) also respond to corticosteroids [1]. Thus, corticosteroids should be empirically given for nephrotic syndrome in children. Renal biopsy is only indicated for corticosteroid resistance, late treatment failure, and suspicion of different pathologic diagnosis [2].

Unlike in children, MCD accounts for a lower percentage of nephrotic syndrome in adults. In addition, adults with MCD have different clinical features, have a high incidence of concomitant acute kidney injury, and do not always respond to corticosteroid [3]. Therefore, renal biopsy is a prerequisite for adults with nephrotic syndrome, and the diagnosis of MCD often relies on this invasive procedure. Although there have been advances in imaging technology and interventional tools of percutaneous renal biopsy, postbiopsy complications can still occur. Bleeding is one of the major primary complications. Rarely, renal biopsy complicates with major hemorrhage, necessitating surgical intervention such as nephrectomy or even leading to death. Careful evaluation of risks and benefits must be done before the procedure. In patients with bleeding risk or other contraindications to renal biopsy, physicians must initiate treatment based merely on clinical presentation and personal experience.

The major aim of this study is to identify prebiopsy serologic markers that can predict the diagnosis of MCD in adults with nephrotic syndrome. The development of the model could provide physicians one more evaluation tool, especially when renal biopsy is contraindicated.

2. Methods

2.1. Patient Information and Data Collection

The Institutional Review Board of Chang Gung Memorial Hospital approved the study and waived the need for informed consent because there was no breach of privacy and the study did not interfere with clinical decisions related to patient care (approval No. 201600235B0). Patients with nephrotic range proteinuria or nephrotic syndrome who received renal biopsy at Chang Gung Memorial Hospital, a university-affiliated tertiary referral center in Taiwan, during October 2007–April 2011 were enrolled. Nephrotic range proteinuria was defined as a daily urinary protein loss more than 3gm. The nephrotic syndrome was defined as the combination of nephrotic range proteinuria with a low albumin levels (< 2.5 g/dl) and edema. Patients with any of the following were excluded: estimated glomerular filtration rate <30ml/min (modification of diet in renal disease formula); clinical or pathological features indicating a secondary cause such as autoimmune diseases, chronic infections especially hepatitis B or C, cancer, and exposure to causative drugs. Finally, 142 patients were included in this study. Demographic characteristics, clinical and laboratory variables before renal biopsy, indications of renal biopsy, and histopathology reports were retrospectively collected by review of medical charts; and all data were anonymized.

2.2. Definition

The sample for histopathological diagnosis was taken using sonography-guided percutaneous renal biopsy performed before initiating corticosteroid or other immunosuppressive therapy. The specimens were processed for light microscopy, immunofluorescence, and electron microscopy following standard procedures and were reviewed by experienced renal pathologists.

The diagnosis of MCD was made based on normal-appearing glomeruli on light microscopy; negative or nonspecific staining of immunoglobulin and complement on immunofluorescence; and diffuse foot process effacement of podocytes and absence of electron-dense deposits on electron microscopy.

2.3. Statistical Analysis

Continuous variables were summarized using means ± standard deviation. The primary analysis was to compare MCD patients with non-MCD patients. All variables were tested for normal distribution by using the Kolmogorov–Smirnov test. The Student’s t-test was used to compare the means of continuous variables and normally distributed data; otherwise, the Mann–Whitney U test was used. Categorical data were tested using the chi-square test or Fisher exact test. Discrimination was assessed by using the area under a receiver-operating characteristic curve (AUROC). Two AUROCs were compared by a nonparametric approach. The AUROC analysis was also performed to calculate cutoff values, sensitivity, and specificity. Finally, cutoff points were calculated by acquiring the best Youden index (sensitivity + specificity − 1). Multivariate logistic regression analysis was performed to evaluate factors associated with MCD. All statistical tests were 2-tailed, with the level of significance set at P <.05. Data were analyzed using SPSS 19.0 for Windows (SPSS, Inc., Chicago, IL, USA).

3. Results

3.1. Patient Characteristics

The study enrolled 142 patients with a mean age (at biopsy) of 42.4 ± 17.0 years; 57.7 % of patients were male, and 38 (26.8%) were diagnosed with MCD. Table 1 lists the comparison of baseline characteristics and laboratory parameters between the 2 groups. Compared with the non-MCD group, patients in the MCD group were younger, had a male preponderance, and exhibited higher values of hemoglobin and 24-hour urinary protein. With regard to serology markers, patients in the MCD group had a significantly lower serum IgG level than those in the non-MCD group (P =.001). Serum IgE level in the MCD group was significantly higher than that of the non-MCD group (P <.001). We did not observe a significant difference in serum IgA and IgM levels between the 2 groups.

(n = 142)
(n = 38)
(n = 104)
p value

Age (years)42.4 ± 17.029.9 ± 13.346.8 ± 15.9<0.001
Men [n (%)]82 (57.7%)28 (73.7%)54 (51.9%)0.022
WBC (x103/mm3)7.9 ± 3.07.6 ± 2.68.0 ± 3.20.562
Hemoglobin (g/dl)12.9 ± 2.414.7 ± 2.212.2 ± 2.1<0.001
Platelet count (x103/mm3)264 ± 75276 ± 65260 ± 780.258
Blood urea nitrogen (mg/dl)19.6 ± 11.720.8 ± 15.319.2 ± 10.10.486
Creatinine (mg/dl)0.93 ± 0.400.88 ± 0.360.95 ± 0.420.313
Total protein (g/dl)5.1 ± 1.14.8 ± 1.35.2 ± 1.00.108
Serum sodium (meq/L)140.2 ± 3.5139.2 ± 3.8 140.5 ± 3.40.071
Serum Potassium (meq/L)4.0 ± 0.54.1 ± 0.53.9 ± 0.50.109
Proteinuria (g/day)8.7 ± 7.313.2 ± 8.57.0 ± 5.9<0.001
24 hours urine output (ml)1951 ± 9721950 ± 11301951 ± 9150.998
Microscopic hematuria [n (%)]3 (2.1%)0 (0.0%)3 (2.9%)0.564
Serology markers
Immunoglobulin G (mg/dl)681.2 ± 381.5500.7 ± 411.1757.7 ± 347.20.001
Immunoglobulin M (mg/dl)123.7 ± 68.8127.0 ± 48.6122.4 ± 75.20.751
Immunoglobulin A (mg/dl)287.6 ± 113.8269.1 ± 102.4294.7 ± 117.60.253
Immunoglobulin E (mg/dl)187 (47-639)597 (146-1940)108 (29-367)<0.001

Data are presented as mean ± SD, n (%), or median (interquartile range) unless otherwise specified.
The difference between 2 groups was determined by t-test or chi-square test for normally distributed variables and by Mann–Whitney U test for non-normally distributed variables.
3.2. Performance of IgG and IgE in the Diagnosis of MCD

Table 2 lists the results of the AUROC analysis and optimal cutoff values with corresponding sensitivity and specificity. Among the 3 clinical well-established factors, hemoglobin level displayed the highest AUROC of 0.847 (95% confidence interval [CI] 0.761–0.932, P<0.001), followed by age (AUROC 0.807, P <.001) and 24-hour urinary protein (AUROC 0.703, P =.002). IgG and IgE exhibited similar and satisfactory discriminating power in predicting the diagnosis of MCD, with AUROCs of 0.748 and 0.781, respectively. A cutoff IgE value of 110 mg/dl, as determined by the Youden index, exhibited the best sensitivity of 92% and specificity of 56%. For IgG, an optimal cutoff value of 450 mg/dl yielded sensitivity of 70% and specificity of 76%.

DiscriminationOptimal CutoffYouden IndexSensitivity (%)Specificity (%)

Age0.807 ± 0.0470.715-0.899<0.00134.50.537578
Hemoglobin0.847 ± 0.0430.761-0.932<0.00113.70.617883
Proteinuria0.703 ± 0.0650.576-0.8300.00210.90.446381
IgG0.748 ± 0.0580.635-0.861<0.0014500.487076
IgE0.781 ± 0.0480.687-0.875<0.0011100.489256

3.3. Logistic Regression Analysis of Factors Associated with the Diagnosis of MCD

To determine whether IgG and IgE measurement could help physicians to predict the diagnosis of MCD, univariate and multivariate logistic regression analyses were conducted (Table 3). When the parameters of IgG < 450 mg/dl and IgE > 110 mg/dl were alternatively added to the multivariate model, the HRs for the diagnosis of MCD were 4.29 (95% CI, 1.07–17.20; P =.04) and 9.14 (95% CI, 1.74–47.89, P =.009), respectively.

Potential factorsUnivariateMultivariate
Model 1Model 2Model 3
HR (95% CI)P valueHR (95% CI)P valueHR (95% CI)P valueHR (95% CI)P value

Age, per year0.92 (0.89-0.95)<0.0010.94 (0.90-0.98)0.0040.94 (0.91-0.98)0.0050.95 (0.91-0.99)0.011
Sex (men)2.59 (1.14-5.88)0.020.58 (0.13-2.59)0.480.79 (0.17-3.60)0.760.51 (0.10-2.63)0.47
Hemoglobin, per g/dl1.81 (1.43-2.30)<0.0011.68 (1.10-2.57)0.0161.57 (1.06-2.33)0.0241.61 (1.05-2.47)0.029
Proteinuria, per g/day1.13 (1.06-1.20)<0.0011.04 (0.95-1.13)0.401.05 (0.97-1.14)0.221.00 (0.92-1.09)0.95
IgG < 450 mg/dl8.12 (3.29-20.1)<0.0014.29 (1.07-17.20)0.04--
IgE > 110 mg/dl10.32 (2.90-36.7)<0.001--9.14 (1.74-47.89)0.009
Risk serology markers: IgG < 450 mg/dl, IgE > 110 mg/dl0.02
1 versus 0 risk markers7.34 (0.76-70.71)0.085
2 versus 0 risk markers31.84 (2.55-397.3)0.007

We further divided the patients into 3 groups on the basis of whether none, one, or both of the risk factors, namely, IgG < 450 mg/dl and IgE > 110 mg/dl, were present. With the number of risk factors increased, there were stepwise increases in the HR of the diagnosis of MCD after adjustment for all significant factors. Having both risk factors significantly increased the HRs of a patient to have MCD by 31.84-fold (P =.007) compared with having neither of them. Overall, our study demonstrated that a combination of the existing clinical model with these 2 Ig risk factors was excellent in predicting the diagnosis of MCD, with the AUROC of 0.91 (95% CI 0.85–0.97, P <.001; Figure 1).

4. Discussion

MCD is characterized histologically by the normal-appearing glomeruli on light microscopy and diffuse foot process effacement and absence of electron-dense deposits on electron microscopy. MCD is believed to be a type of podocytopathy. Loss of negatively charged glycocalyx of podocytes results in not only urinary leakage of the negatively charged protein, mainly albumin, but also extensive foot process effacement [4]. The underlying mechanism, however, remains unclear, and many hypotheses have been recently proposed. Some investigators suggested the existence of circulating permeability factors, including hemopexin [5] and angiopoietin-like-4 (ANGPTL4) [6], which could interact with the glycocalyx and cause the loss of charge-selective barrier.

Our finding for the performance of increased serum IgE levels in predicting MCD is consistent with some earlier studies [710]. In recent years, it has become evident that the underlying immune dysfunction in these patients predisposes them to developing both nephrotic syndrome and increased serum IgE levels [11]. Production of IgE by B cells requires 2 signals: the first is driven by 2 cytokines IL-4 and IL-13 released by Th2 cells, and the second is initiated by the interaction of the B-cell surface antigen CD40 with CD40 ligand expressed on activated T cells [12]. Critically, IL-13 was considered as a potential mediator of MCD in several studies [13, 14]. Intracellular expression of IL-13 in T cells is directly associated with serum IgE levels [15]. Several studies also revealed increased serum IL-13 levels in patients with MCD [16]. Thus, it is conceivable that increased serum IgE level is a downstream product of IL-13 activation and indirectly associated with MCD. Future studies are warranted to investigate this possibility.

Although there are acceptable hypotheses for the mechanism of MCD, none can fully explain the entire clinical and histologic picture. Nevertheless, the aforementioned implicated molecules are clinically applied as predictors of the diagnosis of MCD. Recent studies suggest that IL-13 can induce upregulation of CD80 on podocyte, leading to podocyte effacement and proteinuria [17]. Chen Ling et al. proposed the ratio of urinary CD80 and creatinine, with a cutoff value of 328.98 (ng/g creatinine), as a predictor of the diagnosis of MCD, with a sensitivity of 81.1% and specificity of 94.4% [18]. The AUROC for the urinary CD80 to diagnose MCD was 0.925 (95% confidence interval: 0.873–0.978). Whether serum IL-13 or IgE levels increase in proportion to the urinary CD80 levels in our study is not clear. Additional studies are needed to investigate their relationship.

Studies have revealed decreased IgG and increased IgM levels during the relapse of steroid-sensitive nephrotic syndrome [1921]. Disproportional depression of IgG subclasses, especially IgG1 and IgG2, causes the decrease of serum total IgG level during relapses [22, 23]. Decreased IgG level may result from urinary loss of IgG or impaired class switch from IgM to IgG [22]. Our study found significantly decreased IgG level in patients with MCD, but IgM level was not increased.

Few clinical risk prediction models for MCD have been developed. In the present study, age, 24-hour urinary protein, and elevated hemoglobin levels are good indicators for MCD even under adjusted models. A patient younger than 34.5 years old with proteinuria >10.9 g and a hemoglobin level >13.7 g/dL is more likely to have MCD. Young age and heavy proteinuria are typical clinical features of MCD. Regarding hematologic parameters, hemoconcentration leading to increased hemoglobin levels is frequently observed in patients with MCD. As a single predictor, hemoglobin levels > 13.7 g/dl adopted best discriminative power in predicting MCD. Notably, Qin et al. reported that a cohort of IgA nephropathy patients who exhibited MCD-like pathological changes had a higher level of hemoglobin when compared with those who did not exhibit MCD-like lesions [24].

Furthermore, combining the clinical model and these 2 Ig risk factors (IgG<450mg/dl and IgE>110mg/dl) exhibited similar and excellent discrimination in predicting the diagnosis of MCD compared with urinary CD80 from prior report [18]. The measurement of urinary CD80 is more expensive and time consuming than that of serum Ig; also, it is not readily available in general hospitals. Thus, our new proposed model provides the physician simple and valuable clinical markers with which MCD is diagnosed. Patients with nephrotic syndrome with absolute or relative contraindications to renal biopsy may benefit from this prediction model.

Despite the favorable results, our study has some crucial limitations. First, we employed a post hoc design in a single referral center; generalization of our results should be done with caution. Second, a biopsy was not routinely performed in each patient with nephrotic syndrome suspected with MCD, and exclusion of such patients might influence the cutoff. Further prospective study to verify this result might increase the accuracy. Finally, lack of follow-up data also limited our attempt to correlate these predictors with disease activity, and repeated measurements might further improve the discrimination.

In conclusion, we found that age, hemoglobin, and 24-hour urinary protein are significant predictors of MCD before renal biopsy. Combining this with the 2 Ig risk factors (IgG < 450mg/dl and IgE > 110mg/dl) best predicted the diagnosis of MCD. This set of parameters provides the physician with simple and valuable clinical markers to diagnose MCD. Further studies are warranted to examine the role of Igs as diagnostic, pathogenic, and prognostic markers in MCD.


MCD:Minimal change disease
FSGS:Focal segmental glomerulosclerosis

Data Availability

Numerical data is available to interested readers upon request to the corresponding author of this article.


The abstract was presented in the 2nd International Congress of Chinese Nephrologists, 2017 ICCN, 2017 Annual Meeting of Taiwan Society of Nephrology.

Conflicts of Interest

The authors have declared that no conflicts of interest exist.

Authors’ Contributions

Ching-Chung Hsiao and Kun-Hua Tu contributed equally to this work.


We thank all the clinicians and patients enrolled in this study. The authors also thank Dr. Hui-Ping Chien for her assistance with renal pathology report confirmation. This work was supported by Chang Gung Memorial Hospital grant CMRPG3F1771 and CORPG3F0221. We acknowledge Wallace Academic Editing for editing this manuscript.


  1. “Primary nephrotic syndrome in children: clinical significance of histopathologic variants of minimal change and of diffuse mesangial hypercellularity. A Report of the International Study of Kidney Disease in Children,” Kidney International, vol. 20, no. 6, pp. 765–771, 1981. View at: Publisher Site | Google Scholar
  2. “Chapter 3: Steroid-sensitive nephrotic syndrome in children,” Kidney International Supplements, vol. 2, no. 2, pp. 163–171, 2012. View at: Publisher Site | Google Scholar
  3. F. Nolasco, J. S. Cameron, E. F. Heywood, J. Hicks, C. Ogg, and D. G. Williams, “Adult-onset minimal change nephrotic syndrome: a long-term follow-up,” Kidney International, vol. 29, no. 6, pp. 1215–1223, 1986. View at: Publisher Site | Google Scholar
  4. P. T. Brinkkoetter, C. Ising, and T. Benzing, “The role of the podocyte in albumin filtration,” Nature Reviews Nephrology, vol. 9, no. 6, pp. 328–336, 2013. View at: Publisher Site | Google Scholar
  5. W. W. Bakker, J. F. Baller, and W. H. van Luijk, “A kallikrein-like molecule and plasma vasoactivity in minimal change disease. Increased turnover in relapse versus remission.,” Contributions to Nephrology, vol. 67, pp. 31–36, 1988. View at: Publisher Site | Google Scholar
  6. L. C. Clement, C. Avila-Casado, C. Macé et al., “Podocyte-secreted angiopoietin-like-4 mediates proteinuria in glucocorticoid-sensitive nephrotic syndrome,” Nature Medicine, vol. 17, no. 1, pp. 117–122, 2011. View at: Publisher Site | Google Scholar
  7. T. Groshong, L. Mendelson, S. Mendoza, M. Bazaral, R. Hamburger, and B. Tune, “Serum IgE in patients with minimal-change nephrotic syndrome,” Journal of Pediatrics, vol. 83, no. 5, pp. 767–771, 1973. View at: Publisher Site | Google Scholar
  8. O. P. Mishra, N. Ibrahim, and B. K. Das, “Serum immunoglobulin E in idiopathic nephrotic syndrome,” Journal of Tropical Pediatrics, vol. 50, no. 3, pp. 149–152, 2004. View at: Publisher Site | Google Scholar
  9. W. Rebien, D. E. Muller-Wiefel, U. Wahn, and K. Scharer, “IgE mediated hypersensitivity in children with idiopathic nephrotic syndrome,” International Journal of Pediatric Nephrology, vol. 2, no. 1, pp. 23–28, 1981. View at: Google Scholar
  10. H. Schulte-Wissermann, W. Görtz, and E. Straub, “IgE in patients with glomerulonephritis and minimal-change nephrotic syndrome,” European Journal of Pediatrics, vol. 131, no. 2, pp. 105–111, 1979. View at: Publisher Site | Google Scholar
  11. M. Abdel-Hafez, M. Shimada, P. Y. Lee, R. J. Johnson, and E. H. Garin, “Idiopathic Nephrotic Syndrome and Atopy: Is There a Common Link?” American Journal of Kidney Diseases, vol. 54, no. 5, pp. 945–953, 2009. View at: Publisher Site | Google Scholar
  12. L. B. Bacharier and R. S. Geha, “Molecular mechanisms of IgE regulation,” The Journal of Allergy and Clinical Immunology, vol. 105, no. 2, pp. S547–S558, 2000. View at: Publisher Site | Google Scholar
  13. K. Lai, C. Wei, L. Tan et al., “Overexpression of interleukin-13 induces minimal-change-like nephropathy in rats,” Journal of the American Society of Nephrology, vol. 18, no. 5, pp. 1476–1485, 2007. View at: Publisher Site | Google Scholar
  14. R. G. Parry, K. M. Gillespie, and P. W. Mathieson, “Effects of Type 2 Cytokines on Glomerular Epithelial Cells,” Nephron Experimental Nephrology, vol. 9, no. 4, pp. 275–283, 2001. View at: Publisher Site | Google Scholar
  15. W. Cheung, C.-L. Wei, C.-C. Seah, S. C. Jordan, and H.-K. Yap, “Atopy, serum IgE, and interleukin-14 in steroid-responsive nephrotic syndrome,” Pediatric Nephrology, vol. 19, no. 6, pp. 627–632, 2004. View at: Publisher Site | Google Scholar
  16. H. Kimata, M. Fujimoto, and K. Furusho, “Involvement of interleukin (IL)‐13, but not IL‐4, in spontaneous IgE and IgG4 production in nephrotic syndrome,” European Journal of Immunology, vol. 25, no. 6, pp. 1497–1501, 1995. View at: Publisher Site | Google Scholar
  17. J. Reiser and P. Mundel, “Danger signaling by glomerular podocytes defines a novel function of inducible B7-1 in the pathogenesis of nephrotic syndrome,” Journal of the American Society of Nephrology, vol. 15, no. 9, pp. 2246–2248, 2004. View at: Publisher Site | Google Scholar
  18. C. Ling, X. Liu, Y. Shen et al., “Urinary CD80 levels as a diagnostic biomarker of minimal change disease,” Pediatric Nephrology, vol. 30, no. 2, pp. 309–316, 2014. View at: Publisher Site | Google Scholar
  19. M. K. Chan, K. W. Chan, and B. Jones, “Immunoglobulins (IgG, IgA, IgM, IgE) and complement components (C3, C4) in nephrotic syndrome due to minimal change and other forms of glomerulonephritis, a clue for steroid therapy?” Nephron, vol. 47, no. 2, pp. 125–130, 1987. View at: Publisher Site | Google Scholar
  20. J. Giangiacomo, T. G. Cleary, B. R. Cole, P. Hoffsten, and A. M. Robson, “Serum Immunoglobulins in the Nephrotic Syndrome: A Possible Cause of Minimal-Change Nephrotic Syndrome,” The New England Journal of Medicine, vol. 293, no. 1, pp. 8–12, 1975. View at: Publisher Site | Google Scholar
  21. H. Yokoyama, H. Kida, Y. Tani et al., “Immunodynamics of minimal change nephrotic syndrome in adults T and B lymphocyte subsets and serum immunoglobulin levels,” Clinical & Experimental Immunology, vol. 61, no. 3, pp. 601–607, 1985. View at: Google Scholar
  22. M. J. Kemper, H. Altrogge, R. Ganschow, and D. E. Muüller-Wiefel, “Serum levels of immunoglobulins and IgG subclasses in steroid sensitive nephrotic syndrome,” Pediatric Nephrology, vol. 17, no. 6, pp. 413–417, 2002. View at: Publisher Site | Google Scholar
  23. O. P. Mishra, R. Garg, Usha, Z. Ali, and B. K. Das, “Immunoglobulins and circulating immune complexes in nephrotic syndrome,” Journal of Tropical Pediatrics, vol. 43, no. 2, pp. 93–97, 1997. View at: Publisher Site | Google Scholar
  24. J. Qin, Q. Yang, X. Tang et al., “Clinicopathologic features and treatment response in nephrotic iga nephropathy with minimal change disease,” Clinical Nephrology, vol. 79, no. 1, pp. 37–44, 2013. View at: Publisher Site | Google Scholar

Copyright © 2018 Ching-Chung Hsiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Related articles

No related content is available yet for this article.
 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

No related content is available yet for this article.

Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.