TRANSPLANTATION IPHYSIOLOGIC,
HISTOLOGIC, AND PHARMACOLOGIC MARKERS OF GRAFT FUNCTION
Background
Graft survival for all solid organ transplantation procedures is restricted by acute
and chronic rejections. The solution to this problem is induction of a state of
donor-specific tolerance in the patient so rejections will not occur. Current methods of
diagnosing allograft dysfunction are inadequate in that significant organ damage occurs
prior to the establishment of a clinical diagnosis. Clinical tolerance remains an elusive
goal despite success in animal models. One of the main hurdles in developing tolerance
strategies is the lack of a clinical biomarker or a "tolerance assay." The
development of assays or novel technologies that will enable detection of allograft
dysfunction/rejection, monitor responses to therapy, and predict long-term outcomes is
vital for the success of transplantation clinical trials.
Objectives
- Assess graft dysfunction for renal, hepatic, and cardiac allografts by histological
criteria and identify newer methods to quantitatively assess the degree of dysfunction
- Define physiological and pharmacological criteria for graft dysfunction and validate the
techniques
- Identify areas in need of further diagnostic tool refinement
Agenda
| Moderators: |
Amir Tejani, M.D., New York Medical College |
|
John Neylan, M.D., Emory University Hospital |
Introduction
Stephen M. Rose, Ph.D., National Institute of Allergy and Infectious Diseases
Physiologic, Histologic, and Pharmacologic Markers of Graft Function
M. Roy First, M.D., University of Cincinnati Medical Center
Markers of Hepatic Function/Rejection
John R. Lake, M.D., University of Minnesota
Use of Surrogate Endpoints in Cardiac Transplantation
Leslie W. Miller, M.D., University of Minnesota
Break
Pharmacokinetic and Pharmacodynamic Surrogates in Transplantation
Barry D. Kahan, Ph.D., M.D., University of Texas Medical School, Houston
Optimal Pharmacological Monitoring of Antirejection Drugs
Giuseppe Remuzzi, M.D., Negri Bergamo Laboratories, Italy
Prediction of Long-Term Renal Allograft Outcome Using Image Analysis of Sirius Red
Staining in Protocol Biopsies
Paul C. Grimm, M.D., University of California, San Diego
Immune Parameters Correlating Hyporepsonsiveness
Ronald H. Kerman, Ph.D., University of Texas Medical School
Open Discussion
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