This application seeks continued support for this Program because progress made during the first cycle indcates that the 3 central hypotheses are correct: 1) Defective/deficient immune complex (1C) clearance proteins are risk factors for SLE nephritis; 2) The magnitude of chemokine expression in response to 1C in the kidney predicts severe nephritis and its persistence; 3) SLE flare may result from a clinical trigger interacting with a genetic predisposition. In the next Program cycle, the OVERALL OBJECTIVE will be to develop models that predict SLE status, based on the central hypotheses of the first cycle. If SLE activation, flare severity, and flare prognosis can be predicted, it can likely be controlled by existing therapies more effectively and with less toxicity. The Program's hypothesis testing will continue through the two Study Arms. ARM 1 (SLE Family Genetic Testing) is a crosssectional study of SLE patients and family members (target goal 400 families, 50% with renal lupus) and matched normals (target goal 450). Analysis Plan: Use the ARM 1 genetic and clinical database (comprised of 136 items/individual) to identify genes that predispose to SLE, or modify the phenotype of SLE, and identify interactions between candidate SLE genes. ARM 2 (the Ohio SLE Study, OSS) is a meticulous, longitudinal study of recurrently active SLE (106 patients to date, 67% renal, median follow-up 33 months) with protocol testing and data collection daily, monthly, and bimonthly. Analysis plan: Use the ARM 2 database (>90,000 items) and specimen bank (>20,000 items, including RBC, WBC, RNA, plasma, and urine), obtained from >150 SLE flares to identify SLE biomarkers based on 1C clearance proteins in SLE (Projects 1,2,4, Core B, C), pathways that regulate inflammation in SLE (Projects 3,4, Core B, C), and clinical variables involved in the pathogenesis of lupus flare (Projects 1- 4, Core A,B, C). Additionally, pilot intervention trials to suppress SLE nephritis activity (n=2, embedded in Project 4) will be undertaken in this cycle, based on observational studies of our unique clinical database. Conclusions: This Program will identify genetic, clinical, and environmental factors that predispose to and regulate SLE nephritis flare, with the goal of improving therapeutic efficacy and reducing treatment morbidity. Lay Summary: This research will lead to earlier diagnosis and treatment of kidney flares in lupus, and more effective use of available medications, resulting in improved clinical outcomes for SLE patients.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Program Projects (P01)
Project #
3P01DK055546-05S2
Application #
7498764
Study Section
Special Emphasis Panel (ZDK1-GRB-6 (J2))
Program Officer
Flessner, Michael Francis
Project Start
2001-06-01
Project End
2008-01-31
Budget Start
2005-02-01
Budget End
2008-01-31
Support Year
5
Fiscal Year
2007
Total Cost
$143,104
Indirect Cost
Name
Ohio State University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
832127323
City
Columbus
State
OH
Country
United States
Zip Code
43210
Birmingham, Daniel J; Merchant, Michael; Waikar, Sushrut S et al. (2017) Biomarkers of lupus nephritis histology and flare: deciphering the relevant amidst the noise. Nephrol Dial Transplant 32:i71-i79
Lintner, Katherine E; Wu, Yee Ling; Yang, Yan et al. (2016) Early Components of the Complement Classical Activation Pathway in Human Systemic Autoimmune Diseases. Front Immunol 7:36
Birmingham, Daniel J; Bitter, Joshua E; Ndukwe, Ezinne G et al. (2016) Relationship of Circulating Anti-C3b and Anti-C1q IgG to Lupus Nephritis and Its Flare. Clin J Am Soc Nephrol 11:47-53
Parikh, Samir V; Nagaraja, Haikady N; Hebert, Lee et al. (2014) Renal flare as a predictor of incident and progressive CKD in patients with lupus nephritis. Clin J Am Soc Nephrol 9:279-84
Birmingham, Daniel J; Shidham, Ganesh; Perna, Annalisa et al. (2014) Spot PC ratio estimates of 24-hour proteinuria are more unreliable in lupus nephritis than in other forms of chronic glomerular disease. Ann Rheum Dis 73:475-6
Freedman, Barry I; Langefeld, Carl D; Andringa, Kelly K et al. (2014) End-stage renal disease in African Americans with lupus nephritis is associated with APOL1. Arthritis Rheumatol 66:390-6
Hebert, Lee A; Parikh, Samir; Prosek, Jason et al. (2013) Differential diagnosis of glomerular disease: a systematic and inclusive approach. Am J Nephrol 38:253-66
Young, Nicholas A; Friedman, Alexandra K; Kaffenberger, Benjamin et al. (2013) Novel estrogen target gene ZAS3 is overexpressed in systemic lupus erythematosus. Mol Immunol 54:23-31
Fukuda, Akihiro; Wickman, Larysa T; Venkatareddy, Madhusudan P et al. (2012) Urine podocin:nephrin mRNA ratio (PNR) as a podocyte stress biomarker. Nephrol Dial Transplant 27:4079-87
Birmingham, D J; Hebert, L A; Song, H et al. (2012) Evidence that abnormally large seasonal declines in vitamin D status may trigger SLE flare in non-African Americans. Lupus 21:855-64

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