The RFA states: The overall goal of the AMP RA and Lupus Network (Network) is to define shared and disease-specific biological pathways in order to identify relevant drug targets for the treatment of RA, lupus and related autoimmune diseases. Towards achieving this goal, a unique and novel infrastructure will be established, that uses a collaborative trans-disciplinary, integrated team science approach, to test high impact ideas that will: lay the foundation for a new and comprehensive understanding of mechanisms driving disease; stimulate early and applied research on cutting-edge technologies; and, advance the research enterprise by accelerating the discovery of disease pathways involved in autoimmune diseases. Our AMP RA and Lupus Network Leadership Center (LC) will enable all of these deliverables to be met. The goal of our LC is to establish a creative, nimble, and highly interactive group composed of leading scientists from throughout the United States (24 institutions across 14 States) and internationally - each with overlapping expertise in basic, clinical and translational research; technology invention, development, and implementation; unique bioinformatics and statistical methodology; and extensive interactions with biotechnology companies, pharmaceutical industry, disease foundations, NIH, and academic institutions. We have created a distributive model of leadership that takes advantage of the strengths of each of the participating investigators and centers, a model that we believe is necessary to complete the missions set forth in the AMP RFA. We will build a highly-functional infrastructure to meet not just the goals stated in the RFA, but to enable discoveries to be made that are truly transformative in RA and SLE, and are applicable to dozens of other autoimmune and inflammatory diseases. Very importantly, our proposal is not to create a model and infrastructure that will end in 2019, but rather to leverage this model to build a sustainable program that will accelerate discoveries in other disease areas, through funding from NIH, corporate partners, foundations, and philanthropy. The LC includes an LC Research Coordination, Management and Statistics Program (LCMP), a Systems Biology Research Group (SBG), and a Tissue Acquisition Research group (TRG), all of which are integrated and led by qualified faculty.

Public Health Relevance

The AMP RA/SLE Leadership Center (LC) will organize all aspects of the AMP Network, and will ensure that all goals are met. The LC will be the main interface between the AMP Network Sites, NIH, and sponsors.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Program Project or Center with Complex Structure Cooperative Agreement (UM2)
Project #
5UM2AR067678-03
Application #
9131957
Study Section
Special Emphasis Panel (ZAR1-CNR (M1))
Program Officer
Serrate-Sztein, Susana
Project Start
2014-09-24
Project End
2019-05-31
Budget Start
2016-06-01
Budget End
2017-05-31
Support Year
3
Fiscal Year
2016
Total Cost
$890,185
Indirect Cost
$251,822
Name
Stanford University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
Donlin, Laura T; Rao, Deepak A; Wei, Kevin et al. (2018) Methods for high-dimensonal analysis of cells dissociated from cyropreserved synovial tissue. Arthritis Res Ther 20:139
Haddon, D James; Wand, Hannah E; Jarrell, Justin A et al. (2017) Proteomic Analysis of Sera from Individuals with Diffuse Cutaneous Systemic Sclerosis Reveals a Multianalyte Signature Associated with Clinical Improvement during Imatinib Mesylate Treatment. J Rheumatol 44:631-638
Der, Evan; Ranabothu, Saritha; Suryawanshi, Hemant et al. (2017) Single cell RNA sequencing to dissect the molecular heterogeneity in lupus nephritis. JCI Insight 2:
Lee, Jung-Rok; Haddon, D James; Wand, Hannah E et al. (2016) Multiplex giant magnetoresistive biosensor microarrays identify interferon-associated autoantibodies in systemic lupus erythematosus. Sci Rep 6:27623
Rosenberg, Jacob M; Price, Jordan V; Barcenas-Morales, Gabriela et al. (2016) Protein microarrays identify disease-specific anti-cytokine autoantibody profiles in the landscape of immunodeficiency. J Allergy Clin Immunol 137:204-213.e3
Lee, Jung-Rok; Haddon, D James; Gupta, Nidhi et al. (2016) High-Resolution Analysis of Antibodies to Post-Translational Modifications Using Peptide Nanosensor Microarrays. ACS Nano 10:10652-10660
Raza, Karim; Klareskog, Lars; Holers, V Michael (2016) Predicting and preventing the development of rheumatoid arthritis. Rheumatology (Oxford) 55:1-3
Rosenberg, Jacob M; Utz, Paul J (2015) Protein microarrays: a new tool for the study of autoantibodies in immunodeficiency. Front Immunol 6:138