Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Allied Health Professionals’ Corner
Author Reply
Book Review
Brief Communication
Case Report
Case Series
Clinical Case Report
Clinical Trials
Clinicopathological Conference
Commentary
Corrigendum
Current Issue
Editorial
Editorial – World Kidney Day 2016
Editorial Commentary
Erratum
Foreward
Guideline
Guidelines
Image in Nephrology
Images in Nephrology
In-depth Review
Letter to Editor
Letter to the Editor
Letter to the Editor – Authors’ reply
Letters to Editor
Literature Review
Media & News
Nephrology in India
Notice of Corrigendum
Notice of Retraction
Obituary
Original Article
Patient’s Voice
Perspective
Research Letter
Retraction Notice
Review
Review Article
Short Review
Special Article
Special Feature
Special Feature - World Kidney Day
Systematic Review
Technical Note
Varia
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Allied Health Professionals’ Corner
Author Reply
Book Review
Brief Communication
Case Report
Case Series
Clinical Case Report
Clinical Trials
Clinicopathological Conference
Commentary
Corrigendum
Current Issue
Editorial
Editorial – World Kidney Day 2016
Editorial Commentary
Erratum
Foreward
Guideline
Guidelines
Image in Nephrology
Images in Nephrology
In-depth Review
Letter to Editor
Letter to the Editor
Letter to the Editor – Authors’ reply
Letters to Editor
Literature Review
Media & News
Nephrology in India
Notice of Corrigendum
Notice of Retraction
Obituary
Original Article
Patient’s Voice
Perspective
Research Letter
Retraction Notice
Review
Review Article
Short Review
Special Article
Special Feature
Special Feature - World Kidney Day
Systematic Review
Technical Note
Varia
View/Download PDF

Translate this page into:

Original Article
ARTICLE IN PRESS
doi:
10.25259/IJN_628_2024

Study of Correlation between Renal CD68 with Oxford MEST-C Scores and C3 Immunoreactivity in IgA Nephropathy

Department of Pathology, District Hospital, Kurbathang, Kargil, India
Department of Pathology, Atal Bihari Vajpayee Institute of Medical Sciences & Dr Ram Manohar Lohiya Hospital, New Delhi, India
Department of Nephrology, Atal Bihari Vajpayee Institute of Medical Sciences & Dr Ram Manohar Lohiya Hospital, New Delhi, India

Corresponding author: Arvind Ahuja, Department of Pathology, Professor and Head, Atal Bihari Vajpayee Institute of Medical Sciences & Dr Ram Manohar Lohiya Hospital, New Delhi, India. E-mail: drarvindahuja@gmail.com

Licence
This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

How to cite this article: Batool S, Ahuja A, Balakrishnan M. Study of Correlation between Renal CD68 with Oxford MEST C Scores and C3 Immunoreactivity in IgA Nephropathy. Indian J Nephrol. doi: 10.25259/IJN_628_2024

Abstract

Background

IgA nephropathy (IgAN) is the most frequent primary glomerular disease worldwide. The prognostic role of CD68, a macrophage marker, is under debate. We investigated the prognostic value of CD68 macrophage count and its correlation with Oxford Scoring system (MEST-C scores) and C3 immunoreactivity in IgAN.

Materials and Methods

Kidney biopsies of all adult patients diagnosed with IgAN between 2011 and 2020 were evaluated using the Oxford MEST-C scoring system. Immuno-histochemical staining was performed using monoclonal antibodies against CD68. Glomerular macrophages were quantified & correlated with each component of the MEST-C score and the intensity of mesangial IgA and C3 immunostaining. Renal CD68 counts were also correlated with demographic and clinical features. Additionally, correlations were performed between glomerular & interstitial CD68, with the IgAN percent risk prediction score.

Results

Glomerular and interstitial CD68 were correlated with proteinuria (p< 0.05). Hypertension, eGFR, and risk prediction scores correlated with the mean interstitial CD68. Correlation was observed between mesangial cellularity (M) and the mean glomerular or interstitial CD68. Correlation was also observed between interstitial fibrosis and tubular atrophy (IFTA) with mean interstitial CD68. The number of globally sclerosed & normal glomeruli and crescent (C) correlated with mean interstitial CD68.

Conclusion

We demonstrate a correlation of mesangial and interstitial CD68 macrophage count with a number of clinical parameters. Further studies with larger sample numbers and follow-up biopsies are required to validate it.

Keywords

CD68
IgA nephropathy
Macrophage
Prognosis

Introduction

IgA nephropathy (IgAN) is the most frequent primary glomerulonephritis globally and an important cause of ESKD. It has a variable clinical presentation, renal histology, and patient outcome.1 These patients usually present with gross or microscopic hematuria, with or without proteinuria. Renal biopsy is required for diagnosis, and to assess the severity of the histopathologic changes.2 Independent predictors of progression to kidney failure include low estimated glomerular filtration rate (eGFR), proteinuria >1 g/d or persistent proteinuria, hypertension, and glomerular or interstitial sclerosis at biopsy.3-6 Several clinical and histologic factors (arterial hypertension, proteinuria, renal function, and Oxford classification score) determine the outcome of patients with IgAN.7,8 The Oxford MEST C classification of IgAN was developed to improve prognostication in IgAN. The MEST criteria include M 0/1 (≤/>50% of glomeruli showing mesangial hypercellularity), E 0/1 (endocapillary hypercellularity absent/present), S 0/1 (segmental glomerulosclerosis absent/present), T 0/1/2 (tubular atrophy/interstitial fibrosis involving <=25%, 26 to 50% and >50% of the cortex) and C 0/1/2 (no crescents, involving <25% and >25% of glomeruli).7-10 The identification of new prognostic markers could provide insights into the pathogenesis of IgAN and unveil new therapeutic avenues. Many new prognostic markers have been studied in IgAN, among which CD68 (a macrophage marker) is under debate. In this study, we investigated the prognostic value of CD68, as well as its associations with Oxford MEST scores and C3 immunoreactivity in IgAN.

Materials and Methods

This study included 35 adult patients diagnosed with IgAN between 2011 and 2020. Clinical and laboratory details, including the IgAN international risk prediction score to estimate the risk of a 50% decline in eGFR over 36 months were collected.5 The IgA immunostaining pattern (diffuse or segmental granular mesangial deposits), and intensity [graded semi-quantitatively as zero (nil), 1+ (weak), 2+(moderate), and 3+(strong)], were also recorded. Immunohistochemical staining was performed with monoclonal antibodies against CD68 [Figure 1].

(a) High power photomicrograph showing mesangial hypercellularity (blue arrow) (Hematoxylin & Eosin stain; 40x) (b) Glomerular CD68 positivity in mesangium (black arrow) (Immunohistochemical stain, 40x), (c) Interstitial fibrosis and tubular atrophy (red arrow) (Jones methamin silver stain, 20x), and (d) Interstitial CD68 positivity (black arrows) (Immunohistochemical stain, 40x).
Figure 1:
(a) High power photomicrograph showing mesangial hypercellularity (blue arrow) (Hematoxylin & Eosin stain; 40x) (b) Glomerular CD68 positivity in mesangium (black arrow) (Immunohistochemical stain, 40x), (c) Interstitial fibrosis and tubular atrophy (red arrow) (Jones methamin silver stain, 20x), and (d) Interstitial CD68 positivity (black arrows) (Immunohistochemical stain, 40x).

Diagnosed cases of idiopathic IgAN on renal biopsies with ≥5 glomeruli were included. Patients with any other concomitant renal diseases, diabetes mellitus, autoimmune diseases, abnormal hypergammaglobulinemia, or liver disease were excluded. Data were collected and evaluated by one pathologist and one clinician and cross-checked by the principal investigator. Prognosis was assessed by considering the correlation with MEST-C scores. The ethical committee of our institute approved the study and all patient consent was obtained.

Immunohistochemistry and immunofluorescence

Manual immunohistochemical staining of paraffin sections for CD68 (Ready to use, Biogenex) was performed using a heat-induced epitope retrieval technique and a universal secondary antibody kit that utilized a peroxidase-conjugated labelled-dextran polymer (Super Sensitive MultiLink HRP detection kit/DAB, Biogenex) according to the protocol standardized at our institute. Then, 3 µm-thick paraffin sections of archival kidney biopsies were dewaxed, rehydrated, and microwaved. Detection of the primary antibodies was performed using indirect immunohistochemistry. After inhibiting endogenous peroxidase activity, the primary antibodies against CD68 were applied and incubated overnight at room temperature. Lupus nephritis was considered the positive control, and minimal change disease was the negative control for CD68. The number of CD68-positive cells in the glomeruli and interstitium was counted at 400x. The glomerular infiltrate was expressed as the number of positive cells/glomerulus. Interstitial infiltrate will be expressed as the number of positive cells/high-power field (HPF). Ten fields were selected; results were expressed as mean ± standard deviation (SD), which will be correlated with each component of the MEST-C score and intensity of mesangial IgA immuno-staining. Renal CD68 was correlated with clinical parameters like proteinuria, hematuria, hypertension, and baseline eGFR. The correlation was also performed between glomerular & interstitial CD68, with the IgAN risk prediction score.

Direct immunofluorescence was performed at the time of initial diagnosis on fresh frozen tissue using fluorescein isothiocyanate (FITC)-conjugated polyclonal antibodies to detect IgG, IgM, IgA, C3, and C1q. For this study, immunofluorescence findings were retrieved from the archival biopsy records. No re-biopsies were conducted. Our recorded data noted a C3 immunostaining pattern reported as diffuse or segmental, granular mesangial deposits, and its intensity is graded semi-quantitatively as zero (nil), 1+ (weak), 2+(moderate), and 3+(strong).

Statistical analysis

The data collected (relevant clinical parameters, number of glomeruli, MEST-C scores, glomerular & interstitial CD68 counts) were tabulated on Microsoft Office Excel v14.0 spreadsheets (Microsoft Corporation, Redmond, USA). MEST-C continuous variables for each biopsy were expressed as the mesangial score obtained from the modified scoring sheet (M continuous), and percentage of glomeruli with endocapillary hypercellularity (E continuous), segmental sclerosis (S continuous) and cellular/fibrocellular crescents (C continuous), and percentage of cortical tissue with IFTA (T continuous). Dichotomous (M0/M1; E0/E1; S0/S1) and trichotomous (T0, T1 and T2 and C0, C1 and C2).4,5 MEST-C variables were designated as categorical values. Analyses were performed using Microsoft Office Excel and the statistical packages SPSS (IBM, Armonk, USA) and R (R Development Core Team, Auckland, New Zealand). Descriptive statistics were expressed as means ± standard deviations, medians, and interquartile ranges (IQR), where applicable. Relationships between macrophage counts and continuous M, E, S, T, and C variables were estimated through Pearson´s product-moment correlation and the R2 coefficient of determination. Logistic regression was applied to determine the relationship between CD68 counts and dichotomous categorical MEST-C variables. For this purpose, T1 and T2 and C1 and C2 categories were aggregated as T≠0 and C≠0. Receiver operating characteristic (ROC) curves were constructed by plotting the true positive rate against the false positive rate at various threshold values for CD68 counts. The association between macrophage counts and M, E, S, T, and C variables was determined by the Fisher exact test for independence.

Results

Clinico-pathological characteristics of the study cases have been presented in Table 1. We included 35 IgAN patients, including 25 (71.43%) males and 10 (28.57%) females. The median age at diagnosis was 30 (range 18-66) years. Ten (28.57%) patients had macroscopic hematuria, while 22 (62.86%) had microscopic hematuria at biopsy. Proteinuria <1 g/dL was found in 13 (37.14%) patients and >1 g/dL in 22 (62.86%) cases. Eleven (31.43%) patients had high blood pressure. The mean eGFR (mL/min/1.73m2) was 45.66 ± 39.91.

Table 1: Distribution of baseline characteristics of study subjects
Variable Value
Age (years) 30.31 ± 11.7
28 (21.5, 38)
18-66
Sex
 Female 10 (28.57)
 Male 25 (71.43)
Macrohematuria
 Absent 25 (71.43)
 Present 10 (28.57)
Microhematuria
 Absent 13 (37.14)
 Present 22 (62.86)
Hypertension
 Absent 24 (68.57)
 Present 11 (31.43)
Proteinuria
 <1 13 (37.14)
 ≥1 22 (62.86)
eGFR (mL/min/1.73m2) 36 (14, 61)
Mean glomerular CD68+ cells 1.5 (0.875, 2.75)
Mean interstitial CD68+ Cells 10.4 (7, 21.2)

Renal histopathology

The most common findings in our biopsies were mesangial hypercellularity and mesangial matrix expansion, which were observed in nearly all cases. In addition, endocapillary hypercellularity was noted in 11 (31.42%) patients, segmental glomerulosclerosis in 22 (62.85%), crescents in 16 (45.71%), and mild, moderate and severe IFTA were seen in 13 (37.14%), 13 (37.14%), and 9 (25.71%), respectively.

Correlation of CD68+ cells with clinical parameters

Both mean glomerular and interstitial CD68 were correlated with proteinuria (p< 0.05) [Figures 2, 3]. There was a statistically significant difference in CD68 staining between the patients with proteinuria >1 g/day versus the patients with proteinuria <1 g/day. Hypertension correlates with the mean interstitial CD68+ cells (p< 0.05) but not with the mean glomerular CD68. Correlation was also observed between eGFR and the mean interstitial CD68 [Table 2]. However, eGFR did not correlate with the mean Glomerular CD68. No correlation was found between mean glomerular and interstitial CD68 with age, sex, and hematuria.

Association of mean glomerular CD68+ cells with proteinuria.
Figure 2:
Association of mean glomerular CD68+ cells with proteinuria.
Association of mean interstitial CD68+ cells with proteinuria.
Figure 3:
Association of mean interstitial CD68+ cells with proteinuria.
Table 2: Correlation of mean glomerular CD 68+ cells and mean interstitial CD68+ cells with age, eGFR, number of globally sclerosed & normal glomeruli, and prediction score
Variables Age (years) eGFR (mL/min/1.73m2) No. of GS glom No. of N glom Prediction score (%)
Mean glomerular CD68+ cells
 Correlation coefficient -0.102 0.003 -0.061 -0.297 0.141
p value 0.557 0.989 0.727 0.083 0.418
Mean interstitial CD68+ cells
 Correlation coefficient 0.154 -0.611 0.414 -0.583 0.781
p value 0.375 0.0001 0.014 0.0003 <0.0001

Correlation of CD68+ cells with MEST C score, number of globally sclerosed & normal glomeruli, and risk prediction score

Correlation of mesangial cellularity (M) was observed with both mean glomerular and interstitial CD68 (p< 0.05) [Table 3]. There was no correlation between mean glomerular or interstitial CD68 with endocapillary hypercellularity (E) and segmental glomerulosclerosis (S). Correlation was also observed between IFTA with mean interstitial CD68 (p<0.05) [Table 4] but not with mean glomerular CD68. Correlation between mean glomerular or interstitial CD68 and crescent (C) was not observed. Both the number of globally sclerosed and normal glomeruli correlated with mean interstitial CD68 (p<0.05). A correlation was observed between the risk prediction score and mean interstitial CD68 (p< 0.05) [Table 2]. However, the risk prediction score does not correlate with mean glomerular CD68.

Table 3: Association of mean glomerular and interstitial CD68+ cells with M
Cells M0 (n=16) M1 (n=19) p value
Mean glomerular CD68+ cells 1 ± 0.67 2.38 ± 1.11 0.0002
0.88 (0.595, 1.182) 2 (1.5, 3.1)
Mean interstitial CD68+ cells 10.64 ± 9.24 16.46 ± 7.34 0.024
8.6 (4.275, 10.75) 17 (10.2, 21.85)
Table 4: Association of mean interstitial CD68+ cells with T
Cells T0 (n=13) T1 (n=13) T2 (n=9) p value
Mean interstitial CD68+ cells 5.93 ± 3.04 13.46 ± 4.77 25.67 ± 3.31 <.0001
5.9 (3, 8.3) 13 (10, 17) 26.1 (22.5, 28)
2.1-10.4 5.8-20.6 21.8-30

Correlation of CD68+ cells with C3 deposition

Immunoreactivity for C3 was observed in 28 biopsies. There was no correlation between the mean glomerular or interstitial CD68 with C3 deposition.

Discussion

In the present study we evaluated glomerular and interstitial macrophages in 35 IgAN biopsies by performing a standard procedure of immunohistochemistry using the widely available marker CD68. We showed that high number of interstitial CD68-positive cells are associated with hypertension and proteinuria. The association was also observed between interstitial CD68 and eGFR, risk prediction score, mesangial cellularity (M), IFTA, and number of globally sclerosed and normal glomeruli. The high number of glomerular CD68-positive cells was associated with mesangial cellularity (M), the number of globally sclerosed and normal glomeruli.

Macrophage infiltration is a general feature of glomerular injury. Macrophage infiltration into the renal cortex has been reported to be associated with progressive renal disease and can be used as an important indicator to assess the development and prognosis of kidney diseases.11,12 M1 macrophages exhibit pro-inflammatory function by secreting inflammatory factors like IL-1, IL-6, IL-12, TNF-α, and reactive oxygen species. If the inflammation persists, it further spreads and causes tissue fibrosis by releasing several fibrogenic cytokines like TGF-β, PDGF, and also synthesizes collagen I and fibronectin. Alternatively, M2 macrophages show an anti-inflammatory role, reduce cell apoptosis, and promote tissue repair and remodelling.13-16 Studies showed that CD68 can be used as a surface marker for M1 macrophages, and CD163 is a highly specific mannose receptor expressed in M2 macrophages.17,18

Multivariate analyses revealed a significant relationship between macrophage infiltration and levels of proteinuria, tubulointerstitial injury, and the progression of renal fibrosis.19 Thus, an increased number of macrophages in the tubulointerstitial area may serve as a predictive factor for poor prognosis in patients with IgA. On the other hand, glomerular infiltration of macrophages has been shown to play a role in glomerular lesions by TGF-β synthesis.20 TGF-β has been shown to be involved in the excessive deposition of extracellular matrix, leading to glomerulosclerosis.21 Macrophages mediate immune responses and tissue injury by antigen presentation, cell signalling, and mesangial matrix remodeling. CD68 has been successfully used as a macrophage marker in lupus nephritis.22 In pediatric IgAN, macrophage infiltration into the interstitium and glomeruli is associated with unfavorable activation and persistent inflammatory response.23 Silva GE et al. suggested that the presence of CD68-positive macrophagesin IgAN, positively correlated with proteinuria, serum creatinine levels, progression of renal disease and worse outcomes.24 Some studies found that when the macrophages infiltrated the tubulointerstitium in IgAN, the patients had proteinuria, lower eGFR, and IFTA.25,26 Macrophages in the glomeruli can be regarded as the marker of mesangial and endocapillary hypercellularity. The count of macrophages per glomerulus is associated with masengial hypercellularity, crecent, and thus the final MEST-C score positively.25,27

Our study has some limitations: it was retrospective and conducted at a single center, with a modest sample size, which may limit the generalizability and statistical power of the findings. Follow-up data and outcome measures (e.g., eGFR decline, ESKD progression) were not available, precluding us from making direct inferences about the long-term prognostic significance of CD68+ macrophage infiltration. The use of CD68 as a pan-macrophage marker does not allow us to distinguish between M1 (pro-inflammatory) and M2 (anti-inflammatory/repair) phenotypes, limiting our ability to interpret the functional role of macrophage infiltration in IgAN pathogenesis. Finally, the study did not include repeat or longitudinal biopsies, so we could not assess changes in macrophage burden over time or in response to treatment. Thus, future studies incorporating phenotypic markers (e.g., CD163, iNOS) and longitudinal clinical outcome are needed.

To conclude, this study highlights a potential link between interstitial macrophage burden and composite measures of disease severity, including the IgAN risk score. However, further studies on a larger scale with follow-up biopsies are required to elucidate the definitive functional and prognostic roles of macrophages in IgAN.

Conflicts of interest

There are no conflicts of interest.

References

  1. . Pathology of IgA nephropathy. Nat Rev Nephrol. 2014;10:445-54.
    [CrossRef] [PubMed] [Google Scholar]
  2. . Interpretation of renal biopsies in IgA nephropathy. Contrib Nephrol. 2007;157:44-9.
    [CrossRef] [PubMed] [Google Scholar]
  3. , . Factors predicting progression of IgA nephropathies. J Nephrol. 2005;18:503-12.
    [PubMed] [Google Scholar]
  4. , , , , , . Markers for the progression of IgA nephropathy. J Nephrol. 2016;29:535-41.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  5. , , , . Predicting progression in IgA nephropathy. Am J Kidney Dis. 2001;38:728-35.
    [CrossRef] [PubMed] [Google Scholar]
  6. , , , , , , et al. Risk factors for progression in children and young adults with IgA nephropathy: An analysis of 261 cases from the VALIGA European cohort. Pediatr Nephrol. 2017;32:139-50.
    [CrossRef] [PubMed] [Google Scholar]
  7. , , , , , , et al. The Oxford classification of IgA nephropathy: Pathology definitions, correlations, and reproducibility. Kidney Int. 2009;76:546-56.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , , , , , et al. The Oxford classification of IgA nephropathy: Rationale, clinicopathological correlations, and classification. Kidney Int. 2009;76:534-45.
    [CrossRef] [PubMed] [Google Scholar]
  9. , , , , , , et al. A Multicenter study of the predictive value of crescents in IgA nephropathy. J Am Soc Nephrol. 2017;28:691-70.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  10. , , , , , , et al. Oxford classification of IgA nephropathy 2016: An update from the IgA nephropathy classification working group. Kidney Int. 2017;91:1014-21.
    [CrossRef] [PubMed] [Google Scholar]
  11. . Role of cellular infiltrates in response to proteinuria. Am J Kidney Dis. 2001;37:S25-9.
    [CrossRef] [PubMed] [Google Scholar]
  12. , , , . Clinical-pathologic significance of CD163 positive macrophage in IgA nephropathy patients with crescents. Int J Clin Exp Med. 2015;8:9299-305.
    [PubMed] [PubMed Central] [Google Scholar]
  13. , , , , , , et al. Mechanisms involved in the pathogenesis of tubulointerstitial fibrosis in 5/6-nephrectomized rats. Kidney Int. 1996;49:666-78.
    [CrossRef] [PubMed] [Google Scholar]
  14. , . Renal microenvironments and macrophage phenotypes determine progression or resolution of renal inflammation and fibrosis. Kidney Int. 2011;80:915-2.
    [CrossRef] [PubMed] [Google Scholar]
  15. , , , , , . Macrophages sequentially change their functional phenotype in response to changes in microenvironmental influences. J Immunol. 2005;175:342-9.
    [CrossRef] [PubMed] [Google Scholar]
  16. , , , , , , et al. Macrophage activation and polarization: Nomenclature and experimental guidelines. Immunity. 2014;41:14-20.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  17. , , , , , , et al. High infiltration of CD68-tumor associated macrophages, predict poor prognosis in Kazakh esophageal cancer patients. Int J Clin Exp Pathol. 2017;10:10282-9.
    [PubMed] [PubMed Central] [Google Scholar]
  18. , , , , , , et al. CD163 as a marker of M2 macrophage, contribute to predicte aggressiveness and prognosis of Kazakh esophageal squamous cell carcinoma. Oncotarget. 2017;8:21526-38.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  19. , , , , , , et al. Distinct macrophage phenotypes contribute to kidney injury and repair. J Am Soc Nephrol. 2011;22:317-26.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  20. , , , , , . IgA nephropathy in children and adults: Comparison of histologic features and clinical outcome. Nephrol Dial Transplant. 2008;23:2537-45.
    [CrossRef] [PubMed] [Google Scholar]
  21. , , , , , . Expression and significance of TGF-β1/Smad signaling pathway in children with IgA nephropathy. World J Pediatr. 2009;5:211-15.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  22. , , , , . Glomerular macrophage is an indicator of early treatment response in diffuse proliferative lupus nephritis. J Med Assoc Thai. 2013;96 Suppl 2:S246-51.
    [PubMed] [Google Scholar]
  23. , , , , , , et al. Clinicopathological and immunohistological features in childhood IgA nephropathy: A single-centre experience. Clin Kidney J. 2013;6:169-175.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  24. , , , , , , et al. Renal macrophage infiltration is associated with a poor outcome in IgA nephropathy. Clinics.. 2012;67:697-703.
    [CrossRef] [Google Scholar]
  25. , , , , , , et al. Oxidative stress and macrophage infiltration in IgA nephropathy. J Nephrol. 2022;35:1101-11.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  26. , , , , , , et al. M2a and M2b macrophages predominate in kidney tissues and M2 subpopulations were associated with the severity of disease of IgAN patients. Clin Immunol. 2019;205:8-15.
    [CrossRef] [PubMed] [Google Scholar]
  27. , , , , , , et al. Relationship between renal CD68(+) infiltrates and the Oxford classification of IgA nephropathy. Histopathology. 2019;74:629-37.
    [CrossRef] [PubMed] [Google Scholar]
Show Sections