Abstract
Glomerular diseases are major contributors to the global burden of end stage kidney disease. The clinical course and outcome of these disorders are extremely variable and difficult to predict. The clinical trajectories range from a benign and spontaneously remitting condition to a symptomatic and rapidly progressive disease. The diagnosis is based entirely on the evaluation of kidney biopsy, but this invasive procedure carries multiple risks and often fails to predict the clinical course or responsiveness to treatment. However, more recent advances in genetics and molecular biology facilitated elucidation of novel pathogenic mechanisms of these disorders. These discoveries fuel the development of novel biomarkers and offer prospects of non-invasive diagnosis and improved prognostication. Our review focuses on the most promising novel biomarkers that have recently emerged for the major types of glomerular diseases, including IgA nephropathy, membranous nephropathy, focal segmental glomerulosclerosis, and membranoproliferative glomerulonephritis.
Keywords: glomerular disease, biomarkers, IgA nephropathy, membranous nephropathy, focal segmental glomerulosclerosis, membranoproliferative glomerulonephritis
Glomerular diseases are an important group of kidney disorders and collectively represent a major cause of end stage renal disease (ESRD) worldwide. The presentation, clinical course, and outcome of glomerular diseases are highly variable. Some patients achieve complete spontaneous remission, while others progress rapidly to ESRD despite aggressive treatment. Although renal biopsy is the gold standard for the diagnosis and evaluation for treatment, it is invasive and has several serious complications. In many cases, histopathology is neither diagnostic nor prognostic and fails to predict response to therapy, likely because many heterogeneous pathogenetic mechanisms generate clinically indistinguishable histology. Thus, beyond histopathological evaluation, clinical biomarkers of specific pathogenic processes may improve sub-classification and facilitate therapeutic choices. This review provides an update on the most promising glomerular disease biomarkers tested in clinical studies of four major types of glomerular diseases: IgA nephropathy (IgAN), membranous nephropathy (MN), focal segmental glomerulosclerosis (FSGS) and membranoproliferative glomerulonephritis (MPGN).
IgA Nephropathy (IgAN)
IgAN is the most common form of primary glomerulonephritis. The clinical spectrum of IgAN covers a wide range of features, from minor urinary abnormalities to rapidly progressive renal failure. In general, approximately 20-40% of patients with IgAN develop ESRD within 20 years of diagnosis 1-3. The disease is characterized by mesangial deposition of polymeric IgA1. The diagnosis is based entirely on the examination of kidney biopsy tissue and is defined by dominant or co-dominant glomerular IgA staining. A large number of studies established that abnormal O-glycosylation of IgA1 represents one of the key pathogenic events in IgAN. The defective glycosylation pattern involves galactose deficiency in the side chains of O-linked glycans attached to the hinge region of IgA1 heavy chains. The galactose-deficient IgA1 (Gd-IgA1) is present in the mesangial immune deposit and its serum level is quantifiable by ELISA. However, high level of circulating Gd-IgA1 alone does not induce renal injury, and additional factors are likely required for the full expression of nephritis. Current data indicates that at least four hits may contribute to development of IgAN: aberrant glycosylation of IgA1 (hit #1), synthesis of antibodies directed against Gd-IgA1 (hit #2), formation of circulating immune complexes (hit #3), and deposition of these complexes in the glomerular mesangium (hit #4) 4-6. The deposits promote glomerular inflammation, cause local activation of the complement system, and stimulate proliferation of mesangial cells. For more extensive overview, we refer the interested reader to this year's extensive reviews on the genetic 5, immunologic 7, and clinical 6 aspects of this disease.
Clinical markers
Predictors of renal failure in IgAN have been assessed in several clinicopathologic studies; baseline clinical factors most consistently found to be independently associated with progressive renal disease include decreased renal function at the time of diagnosis 8-11, histologic grading 8-12 and proteinuria 12-14. Some studies suggest additional predictive value of age 11, gender 11, high blood pressure at presentation 5-7, serum albumin level 11, 15, hematuria 11, and family history 9, 11. More recently, a helpful clinical progression risk score has been proposed that estimates the probability of ESRD based on 4 clinical variables at the time of renal biopsy: eGFR, systolic blood pressure, hemoglobin and serum albumin level (see Web Resources for online calculator) 16. Although this simple risk score outperformed previously proposed renal disease progression scores, it was designed based on a single Chinese cohort, and will require prospective validation in Caucasians.
Histopathologic markers
On biopsy, IgAN is characterized by focal mesangial proliferation and matrix expansion accompanied by mesangial deposits of IgA and often weaker staining for IgG, C3, and C5b-9. Although a number of histopathological classifications for IgAN have been proposed, older scoring systems had generally poor correlation with clinical outcomes. Recently, a new Oxford classification system has been proposed based on four histologic criteria that best correlate with disease progression: mesangial proliferation (M), endocapillary proliferation (E), segmental sclerosis (S), and tubular atrophy/interstitial fibrosis (T) 17. In the validation studies, the T-score is most consistently associated with poor prognosis, while the E-score appears least reproducible 18, 19. Although the Oxford scoring system does not include crescentic lesions, follow-up studies and clinical experience suggest that crescents represent an important prognostic factor 18 and the crescent (C) score may be included in the future modifications of this classification. In addition to the type of histologic lesions, tissue markers of complement activation, such as intensity and pattern of staining for C3, C4d, C5b-9 and MBL, may offer supplemental information about disease activity 20-22.
Blood markers
The serum levels of Gd-IgA1 and anti-glycan antibodies directed against the hinge region of Gd-IgA1 represent the most promising candidate biomarkers for IgAN 23, 24. A lectin-based ELISA assay for circulating Gd-IgA1 demonstrates 90% specificity and 76% sensitivity to diagnose IgAN, thus it appears to be one of the best candidates for a new non-invasive diagnostic test 23. However, this test utilizes a naturally occurring lectin and has been difficult to standardize, thus has not yet been introduced in routine clinical practice. Utilizing this assay, a recent study from China suggested that high level of Gd-IgA1 at the time of diagnosis was associated with faster rate of renal function decline 25. These observations are promising, but will require replication in independent cohorts. Interestingly, the glycosylation defects appear to have a strong genetic determination, with heritability of over 50% 26, 27. In family-based studies, it became apparent that many of the asymptomatic relatives of IgAN cases have elevated Gd-IgA1 in the absence of kidney disease, suggesting that elevated Gd-IgA1 level alone is not sufficient to produce clinically significant disease. These observations suggest that additional factors (or “hits”) are required for full disease expression. The formation of anti-glycan antibodies directed at the hinge region of Gd-IgA1 emerged as one of the most likely candidates for a “second hit” 24. The test for anti-glycan antibodies could be used in combination with Gd-IgA1 levels to identify patients at high risk of disease. Moreover, early studies indicate that elevated levels of antiglycan IgGs in the sera of patients with IgAN correlate well with proteinuria 24 and may predict faster progression to ESRD 28. More formal evaluation of the diagnostic and prognostic utility of Gd-IgA1 levels in combination with antiglycan antibody titers awaits well-designed clinical studies.
Urine markers
Presently, there are no reliable urinary markers with clinical utility in IgAN. Several candidates have been studied with variable success, including urinary levels of immune complexes containing Gd-IgA1 29 and urinary markers of complement activation, such as C5b-9, FH, MBL, and properdin levels 30, 31. Newer approaches based on the analysis of urinary proteome offer prospects to identify novel candidate peptides 32-34, but applications to IgAN have been limited. Similarly, urinary RNA profiling, including microRNAs (short noncoding RNA molecules that regulate gene expression) may offer completely novel molecular markers 35-37, but initial studies in IgAN suffer from small sample sizes.
Genetic markers
Most cases of IgAN are sporadic, although familial forms are likely under-diagnosed and may account for up to 1-5% of cases. Although several linkage studies in familial disease have been performed, the identity of specific genes underlying familial IgAN remains unknown 38. The genetic determinants of sporadic IgAN have been investigated using GWAS approach 26, 27, 39. The strongest signal consistently observed in all IgAN GWA studies involves the MHC region on chromosome 6p21. This signal is complex and constitutes at least three distinct regions of association, including: (1) HLA-DR and -DQ genes involved in the MHC class II response; (2) TAP1/2 and PSMB8/9 genes involved in antigen processing for presentation by MHC class I; and (3) HLA-DP genes also involved in class II response 26,27. Additional IgAN loci outside of the MHC region include: (1) a common deletion of CFHR1 and CFHR3 genes on chromosome 1q32; (2) chromosome 22q12 locus that contains several genes, including HORMAD2, MTMR3, LIF and OSM, and appears to control IgA levels; (3) another gene-rich region on chromosome 17p23 that contains TNFSF13 gene and is also associated with IgA levels, and (4) a region on chromosome 8p23 in the cluster of DEFA genes. Cumulatively, these loci explain approximately 5% of variance in disease. A genetic risk score based on SNP genotypes at the above loci has been proposed 26, 27 and implemented into a convenient online calculator (see Web Resources). This risk score has been demonstrated to correlate closely with disease prevalence across worldwide populations 27 and is expected to be refined with the newer wave of GWA studies. Taken together, GWA studies of IgAN have several important implications. First, GWAS results indicate that IgAN has a complex genetic architecture, with multiple loci individually exerting moderate to small effects on disease risk. Second, strong MHC signal and additional signals in the genes encoding immune-related molecules highlight the key role of antigen presentation, complement system, and mucosal immunity in the pathogenesis of IgAN. Third, the worldwide distribution of IgAN risk alleles correlates strongly with disease epidemiology. As the predictive value of the SNP-based genetic score improves by incorporation of findings from newer studies, it may offer a powerful tool for disease prediction. Additional studies correlating the GWAS-based risk score with the parameters of disease severity, tissue injury, and overall renal prognosis are underway.
Idiopathic Membranous Nephropathy (iMN)
iMN is a common cause of nephrotic syndrome in Caucasians. It is diagnosed by kidney biopsy, which demonstrates characteristic immune deposits between the lamina rara externa of the glomerular basement membrane and the podocyte. The available evidence indicates that the deposits are formed in situ, at the base of the podocyte processes, due to binding of circulating antibodies directed against podocyte antigens 40. The course of iMN is extremely variable, with 1/3 of patients undergoing spontaneous remission, 1/3 experiencing sustained symptoms, and 1/3 progressing to ESRD 41. The treatment is controversial and response rates are highly variable, likely due to disease heterogeneity. There has been an extensive search for biomarkers to define patients who derive most benefit from more aggressive immunosuppression.
Clinical Markers
The severity of sustained proteinuria and remission of proteinuria during follow-up are the most powerful predictors of outcome in iMN 42, 43. A clinical progression score has been proposed by the Toronto group that incorporates baseline renal function and the maximal level of persistent proteinuria during follow-up in predicting progressors from non-progressors 42, 43. However, the parameter of persistent proteinuria requires indefinite longitudinal follow-up, thus limiting the utility of this score in a clinical setting. A further modification of the risk score that defines persistent proteinuria based on only initial 6 months of follow-up appears more useful 44, however, there is a need for a more accurate clinical prediction tool that could be implemented at the time of diagnosis rather than follow-up.
Histopathologic markers
Traditional histopathologic staging of membranous nephropathy has poor correlation with clinical outcomes 45. Additional stains for proteins up regulated in the process of fibrosis and inflammation have been studied 46, 47, but it is not clear if these markers provide additional value beyond the standard scoring of tubulo-interstitial injury. Markers of complement activation, such as C4d staining, may be more reflective of disease activity 48. Finally, tissue staining for anti-PLA2R antibodies, perhaps in combination with a serum test for anti-PLA2R antibodies, may represent one of the most promising new tissue markers with diagnostic utility (see below) 49.
Blood markers
In 2009, Beck et al. identified the M-type phospholipase A2 receptor (PLA2R) as a target podocyte antigen triggering an antibody response in MN 50. PLA2R is a 180-KDa polypeptide with a long extracellular domain, consisting of a cysteine-rich head and fibronectin type II-like repeat domains and eight repeated carbohydrate-recognition domains, is synthesized by podocytes and expressed at the membrane surface. It is believed that PLA2R transmits intracellular signals after binding to one or more of the soluble A2 phospholipases 50, 51.
The levels of anti-PLA2R antibodies, primarily of the IgG4 subclass, are elevated in approximately 60%-70% of patients with iMN, and a clear correlation between the antibody titers and the clinical disease activity has been demonstrated 50, 52. In recipients of kidney transplant, the presence of anti-PLA2R antibodies could be used to diagnose relapsing MN 53. Treatment with rituximab has been shown to reduce the antibody titers as well as urine excretion of protein 54. These compelling findings may soon change the diagnostic algorithm in patients with nephrotic syndrome; positive anti-PLA2R antibody titers in the setting of classic nephrotic presentation may become sufficient to establish the diagnosis, thus obviating the need for a renal biopsy.
The correlation of serum PLA2R autoantibodies titers with disease activity, the antibody presence within tissue immune deposits, and the association of common genetic variants in PLA2R with the risk of MN (see genetic markers below) have all hinted at direct antibody-mediated pathogenicity. Nevertheless, several caveats need to be considered here. First, the experimental demonstration of pathogenicity has been challenging, largely due to the lack of convincing animal models, thus the ultimate proof of causality is still missing. Second, although anti-PLA2R antibodies were absent in patients with proteinuria due to MCD, FSGS, or IgAN, the overall numbers of disease controls tested in the literature are relatively small 50, 55, 56 and more data on the specificity of the test are needed. Additional caveat relates to the fact that some seronegative patients have tissue immunodeposits that are positive for anti-PLA2R antibodies. Thus, tissue immunostaining for PLA2R antibodies may still be needed in the setting of a negative serum test 49. Finally, membranous nephropathy can also develop secondary to systemic autoimmune diseases (SLE), infections (hepatitis B), drugs (NSAIDs), and malignancies. In these conditions, the subepithelial deposits may arise from deposition of circulating immune complexes, or from binding of antibodies to antigens that are derived from the tumor and were planted within the basement membrane 57. Although most individuals with secondary forms of MN are negative for anti-PLA2R antibodies, positivity for anti-PLA2R antibodies has been reported in this setting, and may represent independent development of autoimmunity and systemic disease 52, 55, 58.
Urine markers
Urinary levels of a number of proteins have been studied in relationship to the progression of renal disease in iMN, including TGF-β, beta2-microglobulin, IgG, urinary complement levels, N-acetyl-beta-glucosaminidase and L-fatty acid binding protein 59-66. Major caveats of these markers include relatively poor sensitivity and specificity, small size of cohorts investigated, and a lack of well-powered independent validation studies. Larger studies using unbiased proteomic approaches are clearly needed to facilitate the identification of novel urinary markers in iMN.
Genetic markers
To date, there has been only a single GWAS published for iMN 67. This study, based on three relatively small European cohorts, discovered a significant association of the PLA2R locus, along with a very strong and highly significant peak in the MHC region centered over the HLA-DQA1 gene. Both loci were subsequently replicated in independent cohorts 68. Most impressively, the effect sizes at both of these loci were unusually large for a GWAS. The disease risk was 20-fold higher in individuals homozygous for the risk SNP in HLA-DQA1 and 4-fold higher for homozygotes at the PLA2R1 locus. Such large effects are rarely observed for common alleles, suggesting that either balancing selection or more complex evolutionary forces maintain these alleles at high frequency in Europeans. Among individuals who carry risk alleles at both loci, 73% have anti-PLA2R antibodies and 75% express PLA2R in glomeruli. In contrast, individuals who carry protective genotypes of both genes have no detectable circulating or tissue anti-PLA2R antibodies 68. These findings provide strong independent support for the central role of autoimmune response directed against PLA2R in the pathogenesis of iMN. However, follow-up studies need to address the utility of genetic typing for these alleles in the diagnosis of iMN. Finally, additional efforts need to be directed to explore genotype correlations with histopathologic features, clinical course, and overall prognosis.
Focal segmental glomerulosclerosis (FSGS)
FSGS can occur as a primary disorder due to genetic mutations in specific podocyte proteins, secondary to a wide range of toxic and environmental exposures, or as a consequence of adaptive changes to reduced kidney mass 69-71. Similar to other glomerular diseases, the diagnosis of FSGS relies entirely on kidney biopsy. Distinguishing between primary and secondary forms is of paramount interest for the treatment and overall prognosis in this condition, since only nephrotic patients with primary forms that are not produced by rare genetic mutations in podocyte genes are good candidates for immunosuppressive treatments 72. It is also important to point out that minimal change disease (MCD) and FSGS are seen as a continuum of the same pathogenic process by one part of the field, whereas the other part considers these conditions as two completely separate disease entities. In this review, we concentrate primarily on FSGS, but we will often refer to MCD considering that many clinical studies do not make a sharp distinction between the two conditions.
Clinical Markers
In idiopathic nephrotic syndrome caused by MCD or FSGS, the severity and persistence of proteinuria, and response to steroid treatment have been identified as the main long-term prognostic factors regardless of the histological substrate 72-74. While patients with sub-nephrotic proteinuria have a relatively good prognosis, in cases with clinical nephrotic syndrome the outcomes greatly depend on the baseline renal function, magnitude of proteinuria, and the degree of tubulo-interstitial injury 73, 75, 76. Many observational studies have also demonstrated that remission of proteinuria, whether spontaneous or induced by therapy, is associated with a good outcome. The disease resistance to corticosteroids and immunosuppressive therapy is considered to be one of the strongest predictors of ESRD 74, 77-79. Unfortunately, there are no reliable clinical predictors of steroid responsiveness, and a trail of steroids is typically administered after ruling out secondary causes.
Histopathologic markers
Histologic variants of FSGS include perihilar, cellular, tip, collapsing, and not-otherwise-specified (NOS) patterns 80. These morphologic patterns apply to both, primary and secondary forms of FSGS. The collapsing pattern, which is characterized by increased proliferation of podocytes and loss of markers of mature podocytes, represents the most severe form of injury and is associated with more rapid progression to ESRD. Conversely, FSGS with glomerular tip lesion more closely resembles MCD with respect to clinical features and has more favorable prognosis 81. In addition to the morphologic classifications, several tissue markers have been proposed to better differentiate primary FSGS from MCD, or secondary forms of FSGS, including the expression of activated β3 integrin 82, CD80 (B7-1) 83, 84 and mα-dystroglycans 85, 86. Some of these markers have already been used in assessing responsiveness to treatment. For example, in vitro incubation of cultured podocytes with serum of subjects with FSGS demonstrated reduced podocyte β3 integrin activity after plasmaphoresis 82. Recent data indicate that the podocyte expression of CD80 (B7-1) may be particularly promising for guiding therapies. The induction of CD80 expression, which is absent in normal podocytes, reduces podocyte capacity to attach to the surrounding matrix through β1 integrin, leading to foot processes detachment and proteinuria. These observations motivated a small trial of abatacept, an inhibitor of B7-1 that is approved for rheumatoid arthritis, in CD80+ FSGS 84. The treatment with abatacept induced remission in a patient with primary FSGS and in four patients with recurrent FSGS after kidney transplantation. Although these results are extremely promising and exemplify successful application of tissue biomarkers in tailoring therapies for FSGS, larger trials of abatacept in CD80+ proteinuric disease are clearly needed to validate these new findings.
Blood Markers
Several observations support the hypothesis that, at least in some cases, FSGS is caused by a circulating permeability factor capable of damaging podocytes. These observations include the absence of immune deposits in kidney tissue, frequent disease recurrence after kidney transplantation, responsiveness to plasmapheresis, and reports of nephrotic syndrome transmission from affected mothers to newborns 87-91. Previously proposed candidate molecules include hemopexin, podocyte-secreted angiopoietin-like-4, vascular endothelial growth factor and cardiotrophin-like cytokine-1 91. More recently, Wei et al. reported soluble urokinase receptor (suPAR) as a new putative permeability factor in FSGS 82. The suPAR molecule represents the soluble form of the receptor for urokinase plasminogen-type activator and appears to be elevated in approximately two-thirds of studied patients with primary FSGS. The suPAR protein has a molecular weight of 20-50kDa, similar to the size predicted for the hypothetical permeability factor described in previous studies 92. The mechanisms of renal toxicity of suPAR were studied both in vitro and in vivo. At the experimental level, FSGS lesions have been induced in transgenic mice that overexpress suPAR 82. Present data indicate that suPAR could act through binding to the podocyte β3 integrin, one of the principal proteins that anchor podocytes to the glomerular basement membrane. The interaction of suPAR and β3 integrin produces structural changes in podocytes, altering the permeability of the glomerular filtration membrane 93. However, the precise source of circulating suPAR and specific triggers to its synthesis are still unknown. Elevated levels of this molecule have been reported in patients with malignancy and in the course of HIV infection 94, 95. In FSGS patients that receive a kidney transplant, elevated suPAR prior to transplantation is associated with increased risk of disease recurrence, and preliminary evidence suggests that treatment with plasmapheresis may be beneficial 82. Some studies also suggest that high levels of suPAR may be predictive of response to immunosupressive treatment 93, 96. Finally, recent report suggests placental transmission of suPAR as a cause of transient proteinuria in an infant born to a mother with FSGS 97.
Although the measurement of serum suPAR levels represents a promising diagnostic test, several important caveats of this test need to be considered. First, serum suPAR level was elevated only in 55%–84% of studied patients with FSGS. The observation that up to 45% of patients have normal suPAR levels suggests that primary FSGS may be a heterogeneous disorder and, in these cases, the disease may be caused by a pathogenic mechanism completely unrelated to the suPAR pathway. Second, commercial ELISA test measures glycosylated forms of suPAR. Although this assay can differentiate FSGS from normal controls and disease controls with mild degree of CKD before 82, 93, 98 or after kidney transplantation 99, the level alone may not be that informative in advanced CKD or ESRD, as non-specific accumulation of suPAR may occur 100. Similarly, pro-inflammatory states, malignancies, and infections may induce higher levels of suPAR glycoforms in the absence of overt proteinuric disease 101. These observations led to the hypothesis that various isoforms of suPAR may have different effects on the activation of podocyte β3 integrin; some suPAR molecules may perhaps be more pathogenic compared to other isoforms 102,103. More studies are clearly needed to precisely understand the differences in pathogenic strengths of various isoforms. In summary, while growing evidence accumulates in support of the pathogenic role of suPAR in a sizeable subset of patients with FSGS, more specific assays may be needed before suPAR testing can be recommended for routine clinical use.
Urine markers
In general, urine biomarker studies in FSGS suffer from small sample size and lack of rigorous replication. There is some evidence that urine levels of CD80 may be useful in differentiating between MCD and FSGS 83, but no clear association with response to treatment has been demonstrated. To date, none of the urine biomarkers studied have been introduced into clinical practice.
Genetic markers
Over the past decade, significant progress has been made in the discovery of genetic basis of familial forms of FSGS. A growing number of autosomal dominant and recessive syndromes are now recognized, most caused by mutations in the genes encoding proteins involved in podocyte structure, motility, or signaling (see Table 1 for a full list of genes). Among the most common inherited causes of familial disease are mutations in the INF2 gene 104. These mutations account for up to 9% of familial FSGS 105, thus genetic testing for this gene is warranted in individuals with a family history indicative of dominant transmission. Cumulatively, however, Mendelian syndromes account for a relatively small proportion of FSGS. The contribution of genetic variation in podocyte genes is less clear for sporadic FSGS.
Table 1. Most promising glomerular disease biomarkers.
IgAN | MN | FSGS | MPGN | |
---|---|---|---|---|
Blood Markers | -Galactose-deficient IgA1 -Antiglycan antibodies -IL6 |
-Anti-PLA2R Ab -Anti-AR Ab -Anti-SOD2 Ab -Anti-α-enolase Ab -Anti-NEP Ab -Anti-bovine serum albumin Ab |
-Soluble urokinase receptor (suPAR) -Podocyte-secreted angiopoietin-like-4 -CLC-1 -Hemopexin |
-Complement assays: C3, C4, CH50, APFA, Soluble MAC, C3a, C5a. -C3Nef -Anti-factor B Ab -Anti-factor H Ab -Anti-factor I Ab |
Histopathologic Markers | -MEST classification -Intensity of IgA stain -C3, C4d, MAC, MBL |
-Staging I-V -Anti-PLA2R Ab -C4d -Interstitial SMA -MCP-1 |
-Columbia classification -CD80 -mα-dystroglycans -Podocyte-secreted angiopoietin-like-4 |
-Classification based on immunoglobulin and C3 staining -DDD or C3GN pattern -Apolipoprotein-E |
Urinary Markers | -MAC -factor H -Properdin -urinary MBL -microRNAs (miR-200, miR-205, miR-192, miR-29b, miR-29c and miR-93) |
-IgG -TGF-β -β2-microglobulin -C3, C4, C3dg, MAC -β-NAG -L-FABP -ua1m |
-Urinary retinol-binding protein -α1AT fragments -uCD80 -TGF-β -miR-192, miR-205 |
-uCD80 -MAC |
Genetics- Common Variants (GWAS) | -HLA-DQ/DR locus -HLA-DP locus -TAP1/PSMB8 locus -HORMAD2 locus -CFHR3,1-deletion -TNFSF13 locus -DEFA locus |
-PLA2R1 locus -HLA-DQ/DR locus |
-APOL1 locus (G1/G2 variants) | -unknown |
Genetics-Rare Variants (Mendelian subtypes) | -unknown | -MME (maternal mutations) | -INF2, ACTN4, CD151, CD2AP, COQ2, COQ6, DGKE, IFN2, ITGB4, LAMB2, LMX1B, MYH9, MYO1E, NPHS1, NPHS2, PLCE1, PTPRO SCARB2, SMARCAL1, TRPC6, WT1 | -CFH, CFI, CFB, MCP, C3 -CFHR1, CFHR3, CFHR5 |
PLA2R, M-type phospholipase A2 receptor; Anti-AR Ab, anti–aldose reductase antibody; Anti-SOD2, anti–manganese superoxide dismutase; Anti-NEP Ab, anti-neutral endopeptidase; CLC-1, cardiotrophin-like cytokine-1; APFA, alternative pathway functional activity; MAC, membrane attack complex; C3Nef, C3 nephritic factor; SMA, smooth muscle actin; MCP-1, monocyte chemoattractant protein; MBL, mannose-binding lectin; L-FABP, L-fatty acid binding protein; β-NAG, N-acetyl-beta-glucosaminidase; ua1m, a1-microglobulin.
Among common genetic polymorphisms, two variants in APOL1 emerged as a major genetic risk factor predisposing to FSGS in individuals of African ancestry 106. The FSGS risk variants in APOL1 are protective against Trypanosoma brucei rhodesiense infection, and therefore provide an evolutionary advantage in Africa where this parasite represents an endemic cause of sleeping sickness. Accordingly, balancing selection explains why these risk alleles are common in African-Americans, but absent from European chromosomes. The effect of APOL1 genotypes on the clinical course of disease and responsiveness to treatment represents an area of active research.
Membranoproliferative Glomerulonephritis (MPGN)
MPGN denotes a general pattern of glomerular injury characterized by an increase in mesangial cellularity and matrix with thickening of glomerular capillary walls secondary to subendothelial deposition of immune complexes and/or complement factors, cellular entrapment, and new basement membrane formation 107. Idiopathic MPGN is a diagnosis of exclusion and a systematic approach to evaluation will often uncover a secondary cause, such as an infection, autoimmune disease, monoclonal gammopathy, neoplasia, or chronic thrombotic microangiopathy 108. Recently, improved understanding of the role of the alternative complement pathway in MPGN has illuminated the field and led to a paradigm shift in the disease classification. MPGN has now been reclassified into immunoglobulin-mediated disease (driven primarily by the classical complement pathway), versus non-immunoglobulin-mediated disease (fueled by the alternative complement pathway overactivity) 109.
Clinical markers
MPGN commonly presents with proteinuria, microhematuria, hypertension, and kidney dysfunction. Reduction in the serum concentration of complement components (C3 and/or C4) is commonly observed, but the definitive diagnosis requires a kidney biopsy. The evaluation of patients with immune-complex-associated MPGN focuses on identifying the underlying etiology, including infections, autoimmune diseases, and monoclonal gammopathies. The non-immune-complex mediated MPGN (a.k.a. C3 glomerulonephropathy, or C3GN) is diagnosed when tissue staining is positive for C3 deposits, but negative for immunoglobulins. In these cases, a thorough evaluation to detect abnormalities of the alternative pathway is indicated. This evaluation should include genetic testing, autoantibody testing, and assays of alternative pathway. In general, there is a paucity of large cohorts of MPGN patients that are correctly re-classified according to the new criteria and followed longitudinally. As a result, there is generally no data on useful clinical prognosticators
Histopathologic markers
Glomerular deposits of C3 without immunoglobulins represent the hallmark of alternative pathway dysregulation through inherited or acquired defects. These immunoglobulin-negative forms are referred to as C3 glomerulonephropathies, which encompasses both dense deposit disease (DDD) and C3 glomerulonephritis (C3GN). Although DDD and C3GN are morphologically distinguishable by the appearance and location of deposits on electron microscopy, these diseases are now considered as part the same etio-pathologic spectrum 107-109. However, adult patients with DDD appear to have more aggressive disease and worse outcomes compared to C3GN 110, 111. Proteomic analysis of biopsy tissue form patients with DDD identified that deposits contained components of the terminal complement pathway along with apolipoprotein-E 112. Apolipoprotein-E may potentially represent a novel disease biomarker, although it may not be entirely specific to DDD 113, 114. In summary, distinguishing C3 glomerulonephropathy from immunoglobulin-mediated MPGN is the first step in guiding the work-up and treatment algorithms. Further differentiation between DDD and C3GN may help with long-term prognostication.
Blood markers
While the immune-complex–mediated forms of MPGN are characterized by variable depression in both C3 and C4 complement components (indicating activation of the classical pathway), C3 glomerulopathy is often marked by low C3 but relatively normal C4 levels (predominant activation of the alternative pathway). More specific assays of complement system activity are also available in the work-up of C3 glomerulonephropathies, including an alternative pathway functional assay and assays for circulating complement breakdown products such as C3a, C5a, and soluble form of membrane-attack complex (sMAC) 109, 115, 116. Overactivity of the alternative pathway can also be caused by acquired autoantibodies that stabilize C3 convertase (for example, C3Nef and anti-CFB autoantibodies) or block the action of pathway inhibitors (for example, anti-factor H and anti-factor I autoantibodies) 108, 109, 115-119. The first described and best known of such autoantibodies is C3Nef 117-119 which directly stabilizes the C3 activating complex and prevents the inhibitory action of factor H. Effectively, C3Nef binding prolongs the half-life of C3 convertase leading to massive consumption of C3 due to tissue deposition 120. C3Nef have been detected in the serum of up to 40% of patients with C3GN. However, a fluctuation in C3Nef activity was noted in approximately one-third of the patients during follow-up 110. Since C3Nef is also detectable in a fraction of healthy individuals 121 and patients with other kidney diseases 122, 123, the specificity of C3Nef in the diagnosis of C3GN remains unclear. In addition, many patients with C3Nef will also have a second abnormality detected on screening, such as genetic mutation in factor H 124, 125, or additional auto-antibodies directed against factors H, I, or B 126-128. Among patients with identifiable genetic defect in the complement pathway, over 50% also have detectable C3Nef 110. The co-existence of inherited and acquired abnormalities of the alternative complement pathway raises the hypothesis that genetic hits may promote autoimmune phenomena. Presently, the exact mechanism underlying these observations remains unknown.
Urine markers
Well-designed urinary biomarker studies are still lacking in patients with MPGN.
Genetic markers
Familial studies and single case reports have provided unique insights into the heterogeneous features of C3GN 124, 129. Mutations in the regulators of the alternative pathway represent a common cause of C3 glomerulopathy, and comprehensive genetic screens should be performed as part of disease work-up. The principal pathway activators with reported mutations include C3 and CFB. The key inhibitors for genetic screening include CFH, CFI, and MCP. In addition, genetic variants in any of the five factor-H-related proteins (CFHR1–5) are also occasionally involved, but because these genes are particularly prone to segmental deletions and duplications, more specialized molecular tests that assess copy number variation are required. In summary, as the catalogue of mutations in complement regulatory genes becomes more complete and their phenotypic consequences are better delineated, molecular diagnosis will undoubtedly represent the best way to risk stratify patients and personalize therapies. This approach is further facilitated by recent advances in NextGen sequencing technology, which allows for quick and cost-effective screening of a large number of genes based on a single blood test.
Conclusions
In conclusion, recent years have been marked by a dramatic progress in elucidating genes and specific molecular pathways involved in the pathogenesis of glomerular disorders. These developments have already accelerated biomarker discovery and offered novel candidate pathways for potential therapeutic interventions. Several new NIH-sponsored initiatives are directed at establishing well-powered longitudinal cohorts of glomerular disease patients with extensive archives of DNA samples, kidney tissue, blood and urine bio-specimens. These efforts include the Nephrotic Syndrome Study Network (NEPTUNE) 130, as well as the NIDDK's “Advancing Clinical Research in Primary Glomerular Diseases” project that aims to establish a longitudinal cohort of 2,400 patients with primary glomerular disease. Such large collaborative initiatives will greatly facilitate rigorous biomarker discovery studies, and are long overdue in the field of glomerular disease.
Acknowledgments
Krzysztof Kiryluk is supported by the National Institute of Diabetes and Digestive and Kidney Diseases grant K23-DK090207 and the Glomerular Center at Columbia University.
Footnotes
Financial Disclosures: None
Conflicts of Interest: The authors report no conflict of interest.
Web Resources: IgAN Progression Calculator: http://www.columbiamedicine.org/divisions/gharavi/calc_progression.php
IgAN Genetic Risk Score Calculator: http://www.columbiamedicine.org/divisions/gharavi/calc_genetic.php
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