SummaryBackground and objectives The term C3 glomerulopathy describes renal disorders characterized by the presence of glomerular deposits composed of C3 in the absence of significant amounts of Ig. On the basis of electron microscopy appearance, subsets of C3 glomerulopathy include dense deposit disease (DDD) and C3 glomerulonephritis (C3GN). The full spectrum of histologic change observed in C3 glomerulopathy has yet to be defined and pathologic predictors of renal outcome within this patient population remain largely unknown. This study thus characterized a large C3 glomerulopathy cohort and identified clinicopathologic predictors of renal outcome.Design, setting, participants, & measurements All patients with kidney biopsies fulfilling criteria for C3 glomerulopathy from two quaternary renal centers within the United Kingdom and Ireland between 1992 and 2012 were retrospectively reviewed. We recorded histologic, demographic, and clinical data and determined predictors of ESRD using the Cox proportional hazards model.Results Eighty patients with C3 glomerulopathy were identified: 21 with DDD and 59 with C3GN. Patients with DDD were younger, more likely to have low serum C3 levels, and more likely to have crescentic GN than patients with C3GN. Patients with C3GN were older and had more severe arteriolar sclerosis, glomerular sclerosis, and interstitial scarring than patients with DDD. Of 70 patients with available follow-up data, 20 (29%) progressed to ESRD after a median of 28 months. Age .16 years, DDD subtype, and crescentic GN were independent predictors of ESRD within the entire cohort. Renal impairment at presentation predicted ESRD only among patients with DDD.Conclusions Although detailed serologic and genetic data are lacking, this study nevertheless identifies important clinicopathologic distinctions between patients with DDD and C3GN. These include independent predictors of renal outcome. If replicated in other cohorts, these predictors could be used to stratify patients, enabling application of emerging mechanism-based therapies to patients at high risk for poor renal outcome.

A specific biomarker that can separate active renal vasculitis from other causes of renal dysfunction is lacking, with a kidney biopsy often being required. Soluble CD163 (sCD163), shed by monocytes and macrophages, has been reported as a potential biomarker in diseases associated with excessive macrophage activation. Thus, we hypothesized that urinary sCD163 shed by crescent macrophages correlates with active glomerular inflammation. We detected sCD163 in rat urine early in the disease course of experimental vasculitis. Moreover, microdissected glomeruli from patients with small vessel vasculitis (SVV) had markedly higher levels of CD163 mRNA than did those from patients with lupus nephritis, diabetic nephropathy, or nephrotic syndrome. Both glomeruli and interstitium of patients with SVV strongly expressed CD163 protein. In 479 individuals, including patients with SVV, disease controls, and healthy controls, serum levels of sCD163 did not differ between the groups. However, in an inception cohort, including 177 patients with SVV, patients with active renal vasculitis had markedly higher urinary sCD163 levels than did patients in remission, disease controls, or healthy controls. Analyses in both internal and external validation cohorts confirmed these results. Setting a derived optimum cutoff for urinary sCD163 of 0.3 ng/mmol creatinine for detection of active renal vasculitis resulted in a sensitivity of 83%, specificity of 96%, and a positive likelihood ratio of 20.8. These data indicate that urinary sCD163 level associates very tightly with active renal vasculitis, and assessing this level may be a noninvasive method for diagnosing renal flare in the setting of a known diagnosis of SVV.

Background: The prevalence of kidney disease (KD) due to inherited genetic conditions in Ireland is unknown. The aim of this study was to characterise an adult kidney disease population in Ireland and to identify familial clusters of kidney disease within the population. Methods: This was a multicenter cross-sectional study of patients with kidney disease in the Republic of Ireland, from January 2014 to September 2014, recruiting from dialysis units and out-patient renal departments. A survey was performed by collecting data on etiology of kidney disease and whether a family history of kidney disease exists. Medical records were cross-referenced to confirm the etiology of kidney disease. Results: A total of 1,840 patients were recruited with a mean age of 55.9 years (range 17-94.5) and a male predominance (n = 1,095; 59.5%). A positive family history was reported by 629 participants (34.2%). Excluding polycystic kidney disease (n = 134, 7.3%), a positive family history was reported by 495 participants (26.9%). Kidney disease due to an unknown etiology was the commonest etiology in the non-polycystic kidney disease group with a positive family history (10.6%, n = 67). Kidney diseases that are not classically associated with familial inheritance including tubulo-interstitial kidney disease, congenital abnormalities of the kidney and urinary tract and glomerulonephritis demonstrated familial clustering. Conclusion: In an Irish non-polycystic kidney disease population, 26.9% reports a positive family history. The commonest etiology of kidney disease in the positive family history cohort, excluding autosomal dominant polycystic kidney disease, was kidney disease due to unknown etiology. Examining families with kidney disease provides an opportunity to better understand disease pathogenesis and potentially identify genetic predispositions to kidney disease.

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