BACKGROUND: Assays of drug blood levels are used for therapeutic immunosuppressive drug monitoring (pharmacokinetics, PK). We monitored lymphocyte functions (pharmacodynamics, PD) in allograft recipients treated with mycophenolic acid (MPA) to determine its mechanisms and the relationships among dose levels, PK, PD, and histological severity of graft rejection. METHODS: Lewis rats transplanted with Brown Norway (BN) rat hearts were treated with different dose levels of MPA for 8, 15, or 29 days at which times grafts were removed and scored for rejection grade. Blood was analyzed (high-performance liquid chromatography) for MPA plasma concentrations (area under the concentration-time curve0-24 hr, C6 hr, trough) and for lymphocyte functions using concanavalin A-stimulated whole blood assays to measure lymphocyte proliferation (tritium labeled thymidine incorporation and flow cytometric bivariate proliferating nuclear cell antigen/DNA analysis) and activation (percent lymphocytes expressing CD25 or CD134). PD values were AUE0-24 hr (area under the PD effect-time curve), maximum inhibition and trough. RESULTS: MPA equipotently suppressed (by flow cytometry) both proliferation and activation and these effects correlated with MPA plasma levels (r2=0.80-0.91). Relationships among MPA dose levels, PK and PD were clear, direct, and reproducible. Correlation coefficients after 8 days of MPA treatment were: 0.90, 0.87, and 0.49 for MPA PK (AUC0-24 hr, C6 hr and trough) versus rejection scores; 0.80-0.89, 0.86-0.92, and 0.25-0.52 for PD flow cytometric assays (AUE0-24 hr, maximum inhibition, and trough) versus rejection scores. CONCLUSIONS: MPA inhibits both lymphocyte proliferation and activation. PD by flow cytometry (FCM) correlates highly with severity of graft rejection, showing that PD of MPA measured in peripheral blood predicts immune cell activity in graft tissue.
BACKGROUND: Assays of drug blood levels are used for therapeutic immunosuppressive drug monitoring (pharmacokinetics, PK). We monitored lymphocyte functions (pharmacodynamics, PD) in allograft recipients treated with mycophenolic acid (MPA) to determine its mechanisms and the relationships among dose levels, PK, PD, and histological severity of graft rejection. METHODS: Lewis rats transplanted with Brown Norway (BN) rat hearts were treated with different dose levels of MPA for 8, 15, or 29 days at which times grafts were removed and scored for rejection grade. Blood was analyzed (high-performance liquid chromatography) for MPA plasma concentrations (area under the concentration-time curve0-24 hr, C6 hr, trough) and for lymphocyte functions using concanavalin A-stimulated whole blood assays to measure lymphocyte proliferation (tritium labeled thymidine incorporation and flow cytometric bivariate proliferating nuclear cell antigen/DNA analysis) and activation (percent lymphocytes expressing CD25 or CD134). PD values were AUE0-24 hr (area under the PD effect-time curve), maximum inhibition and trough. RESULTS:MPA equipotently suppressed (by flow cytometry) both proliferation and activation and these effects correlated with MPA plasma levels (r2=0.80-0.91). Relationships among MPA dose levels, PK and PD were clear, direct, and reproducible. Correlation coefficients after 8 days of MPA treatment were: 0.90, 0.87, and 0.49 for MPA PK (AUC0-24 hr, C6 hr and trough) versus rejection scores; 0.80-0.89, 0.86-0.92, and 0.25-0.52 for PD flow cytometric assays (AUE0-24 hr, maximum inhibition, and trough) versus rejection scores. CONCLUSIONS:MPA inhibits both lymphocyte proliferation and activation. PD by flow cytometry (FCM) correlates highly with severity of graft rejection, showing that PD of MPA measured in peripheral blood predicts immune cell activity in graft tissue.
Authors: Miranda M L Van Rijen; Herold J Metselaar; Martijn Hommes; Jan N M Ijzermans; Hugo W Tilanus; Jaap Kwekkeboom Journal: Immunology Date: 2003-05 Impact factor: 7.397
Authors: Jiang-Tao Tang; Brenda C de Winter; Dennis A Hesselink; Ferdi Sombogaard; Lan-Lan Wang; Teun van Gelder Journal: Br J Clin Pharmacol Date: 2016-11-30 Impact factor: 4.335
Authors: Ming-Sing Si; David K Imagawa; Ping Ji; Xunbin Wei; Bari Holm; Jennifer Kwok; Michael Lee; Bruce A Reitz; Dominic C Borie Journal: Invest New Drugs Date: 2003-08 Impact factor: 3.850