Immunoglobulin A Nephropathy (IgAN) is a major cause of kidney disease worldwide and the leading cause of end stage renal disease (ESRD) among Asians. The affected individuals develop IgA1-containing antibody complexes that deposit in the kidney producing tissue injury. An increased serum level of galactose- deficient IgA1 (Gd-IgA1) has emerged as a useful biomarker of IgAN. Gd-IgA1 promotes formation and kidney deposition of IgA1-containing immune complexes, but the reason why IgAN patients have high Gd-IgA1 is not well understood. We have formed a multidisciplinary team of experienced investigators in order to accelerate the discovery of pathogenic mechanisms in IgAN. Through our collaborative efforts, we have already made significant contributions to the field, including the identification of the first Mendelian mutation that affects production of Gd-IgA1 and causes familial IgAN. We also completed a large genome-wide association study of IgAN involving 20,574 individuals and identified 15 common susceptibility alleles associated with disease risk. We observed that the worldwide distribution of common alleles closely parallels the disease epidemiology and that a burden of inherited risk alleles correlates with the age of disease onset. Our findings identify intestinal immunity as the key pathway involved in the disease pathogenesis. In this proposal, we hypothesize that both common and rare genetic variants contribute to the pathogenesis of IgAN and that these variants induce discrete lesions in innate and adaptive immunity, which inexorably lead to the development of kidney injury. We will leverage a large, well-characterized cohort of patients to define the biological and clinical impact of known risk variants and apply exome sequencing to define new genes underlying IgAN. The first part of this proposal will relate the newly discovered genetic factors to immunologic disease features, specific kidney biopsy findings, and clinical parameters of disease severity and progression. These studies are expected to refine the pathogenesis model and will be critical in enhancing the diagnosis and classification of IgAN. The second part of the proposal aims to define additional rare mutations with large effect underlying familial IgAN. Our innovative gene mapping strategy combines family screening for elevated serum Gd-IgA1 levels with exome sequencing to efficiently identify segregating pathogenic variants. We will perform functional analysis of candidate genes using knockdown and overexpression in IgA1-producing cell lines. Finally, we will aim to identify independent pathogenic mutations by sequencing of sporadic individuals with extreme values of Gd-IgA1 levels.

Public Health Relevance

Successful completion of the proposed studies will identify novel mutations underlying the disease, refine the pathogenesis model of IgAN, and provide the knowledge necessary to translate our new genetic discoveries into clinical applications.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
5R01DK082753-09
Application #
9527118
Study Section
Pathobiology of Kidney Disease Study Section (PBKD)
Program Officer
Mendley, Susan Ruth
Project Start
2009-05-01
Project End
2019-06-30
Budget Start
2018-07-01
Budget End
2019-06-30
Support Year
9
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Columbia University (N.Y.)
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
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Placzek, William J; Yanagawa, Hiroyuki; Makita, Yuko et al. (2018) Serum galactose-deficient-IgA1 and IgG autoantibodies correlate in patients with IgA nephropathy. PLoS One 13:e0190967
Kiryluk, Krzysztof; Li, Yifu; Moldoveanu, Zina et al. (2017) GWAS for serum galactose-deficient IgA1 implicates critical genes of the O-glycosylation pathway. PLoS Genet 13:e1006609
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Maixnerova, Dita; Reily, Colin; Bian, Qi et al. (2016) Markers for the progression of IgA nephropathy. J Nephrol 29:535-41

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