TY - JOUR
T1 - Individualizing liver transplant immunosuppression using a phenotypic personalized medicine platform
AU - Zarrinpar, Ali
AU - Lee, Dong Keun
AU - Silva, Aleidy
AU - Datta, Nakul
AU - Kee, Theodore
AU - Eriksen, Calvin
AU - Weigle, Keri
AU - Agopian, Vatche
AU - Kaldas, Fady
AU - Farmer, Douglas
AU - Wang, Sean E.
AU - Busuttil, Ronald
AU - Ho, Chih Ming
AU - Ho, Dean
N1 - Funding Information:
Acknowledgments: We thank the patients enrolled in this study and their families, as well as the clinical staff at UCLA Ronald Reagan Hospital; Division of Liver and Pancreas Transplantation, Department of Surgery; and Dumont-UCLA Liver Transplant Center. We thank J. Kupiec-Weglinski for helpful discussions, C. Y. Lim (Department of Statistics, Seoul National University) for discussions regarding statistical analysis, and V. Chang (Division of Pediatric Hematology/Oncology, UCLA) for critical review of the manuscript. Funding: D.H. acknowledges support from the NSF CAREER Award (CMMI-1350197), Center for Scalable and Integrated Nanomanufacturing (DMI-0327077), CMMI-0856492, DMR-1343991, V Foundation for Cancer Research Scholars Award, Wallace H. Coulter Foundation Translational Research Award, National Cancer Institute (U54CA151880), Society for Laboratory Automation and Screening Endowed Fellowship, and Beckman Coulter Life Sciences. C.-M.H. acknowledges support from Ben Rich-Lockheed Martin Professor endowment fund. Author contributions: A.Z., N.D., CE., K.W., VA, F.K., D.F., and R.B. performed the surgeries and postoperative patient management that included patient monitoring, determination of additional procedures required, implementation of drug administration protocols, clinical data collection, final drug dosing approvals, and selection of patient target tacrolimus ranges; wrote the patient clinical assessment portions of the manuscript; and critically revised the manuscript. A.Z., D.-K.L., A.S., N.D., T.K., S.E.W., C.-M.H., and D.H. used the anonymized collected clinical data provided by the clinical team to perform the PPD experimental analysis and optimization studies; constructed the drug-drug interaction landscapes, data analysis, and interpretation; wrote the nonpatient clinical assessment portions of the manuscript; and critically revised the manuscript. Competing interests: A.Z., D.-K.L., A.S., N.D., T.K., C.-M.H., and D.H. are coinventors of a pending provisional patent pertaining to phenotypic personalized medicine. C.-M.H. is a coinventor of pending patent WO2015017449 entitled "Realtime feedback system control technology platform with dynamically changing stimulations" and pending patent WO2014113714 entitled "Rapid identification of optimized combinations of input parameters for a complex system." Data and materials availability: All data and materials are available here.
PY - 2016/4/6
Y1 - 2016/4/6
N2 - Posttransplant immunosuppressive drugs such as tacrolimus have narrow therapeutic ranges. Inter- and intra-individual variability in dosing requirements conventionally use physician-guided titrated drug administration, which results in frequent deviations from the target trough ranges, particularly during the critical postoperative phase. There is a clear need for personalized management of posttransplant regimens to prevent adverse events and allow the patient to be discharged sooner. We have developed the parabolic personalized dosing (PPD) platform, which is a surface represented by a second-order algebraic equation with experimentally determined coefficients of the equation being unique to each patient. PPD uses clinical data, including blood concentrations of tacrolimus - the primary phenotypic readout for immunosuppression efficacy - to calibrate these coefficients and pinpoint the optimal doses that result in the desired patient-specific response. In this pilot randomized controlled trial, we compared four transplant patients prospectively treated with tacrolimus using PPD with four control patients treated according to the standard of care (physician guidance). Using phenotype to personalize tacrolimus dosing, PPD effectively managed patients by keeping tacrolimus blood trough levels within the target ranges. In a retrospective analysis of the control patients, PPD-optimized prednisone and tacrolimus dosing improved tacrolimus trough-level management and minimized the need to recalibrate dosing after regimen changes. PPD is independent of disease mechanism and is agnostic of indication and could therefore apply beyond transplant medicine to dosing for cancer, infectious diseases, and cardiovascular medicine, where patient response is variable and requires careful adjustments through optimized inputs.
AB - Posttransplant immunosuppressive drugs such as tacrolimus have narrow therapeutic ranges. Inter- and intra-individual variability in dosing requirements conventionally use physician-guided titrated drug administration, which results in frequent deviations from the target trough ranges, particularly during the critical postoperative phase. There is a clear need for personalized management of posttransplant regimens to prevent adverse events and allow the patient to be discharged sooner. We have developed the parabolic personalized dosing (PPD) platform, which is a surface represented by a second-order algebraic equation with experimentally determined coefficients of the equation being unique to each patient. PPD uses clinical data, including blood concentrations of tacrolimus - the primary phenotypic readout for immunosuppression efficacy - to calibrate these coefficients and pinpoint the optimal doses that result in the desired patient-specific response. In this pilot randomized controlled trial, we compared four transplant patients prospectively treated with tacrolimus using PPD with four control patients treated according to the standard of care (physician guidance). Using phenotype to personalize tacrolimus dosing, PPD effectively managed patients by keeping tacrolimus blood trough levels within the target ranges. In a retrospective analysis of the control patients, PPD-optimized prednisone and tacrolimus dosing improved tacrolimus trough-level management and minimized the need to recalibrate dosing after regimen changes. PPD is independent of disease mechanism and is agnostic of indication and could therefore apply beyond transplant medicine to dosing for cancer, infectious diseases, and cardiovascular medicine, where patient response is variable and requires careful adjustments through optimized inputs.
UR - http://www.scopus.com/inward/record.url?scp=84963491185&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84963491185&partnerID=8YFLogxK
U2 - 10.1126/scitranslmed.aac5954
DO - 10.1126/scitranslmed.aac5954
M3 - Article
C2 - 27053773
AN - SCOPUS:84963491185
SN - 1946-6234
VL - 8
JO - Science translational medicine
JF - Science translational medicine
IS - 333
M1 - ra49
ER -