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Liu X, Shen J, Yan H, Hu J, Liao G, Liu D, Zhou S, Zhang J, Liao J, Guo Z, Li Y, Yang S, Li S, Chen H, Guo Y, Li M, Fan L, Li L, Luo P, Zhao M, Liu Y. Posttransplant complications: molecular mechanisms and therapeutic interventions. MedComm (Beijing) 2024; 5:e669. [PMID: 39224537 PMCID: PMC11366828 DOI: 10.1002/mco2.669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 07/02/2024] [Accepted: 07/08/2024] [Indexed: 09/04/2024] Open
Abstract
Posttransplantation complications pose a major challenge to the long-term survival and quality of life of organ transplant recipients. These complications encompass immune-mediated complications, infectious complications, metabolic complications, and malignancies, with each type influenced by various risk factors and pathological mechanisms. The molecular mechanisms underlying posttransplantation complications involve a complex interplay of immunological, metabolic, and oncogenic processes, including innate and adaptive immune activation, immunosuppressant side effects, and viral reactivation. Here, we provide a comprehensive overview of the clinical features, risk factors, and molecular mechanisms of major posttransplantation complications. We systematically summarize the current understanding of the immunological basis of allograft rejection and graft-versus-host disease, the metabolic dysregulation associated with immunosuppressive agents, and the role of oncogenic viruses in posttransplantation malignancies. Furthermore, we discuss potential prevention and intervention strategies based on these mechanistic insights, highlighting the importance of optimizing immunosuppressive regimens, enhancing infection prophylaxis, and implementing targeted therapies. We also emphasize the need for future research to develop individualized complication control strategies under the guidance of precision medicine, ultimately improving the prognosis and quality of life of transplant recipients.
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Affiliation(s)
- Xiaoyou Liu
- Department of Organ transplantationThe First Affiliated Hospital, Guangzhou Medical UniversityGuangzhouChina
| | - Junyi Shen
- Department of OncologyZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Hongyan Yan
- Department of Organ transplantationThe First Affiliated Hospital, Guangzhou Medical UniversityGuangzhouChina
| | - Jianmin Hu
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Guorong Liao
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Ding Liu
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Song Zhou
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Jie Zhang
- Department of Organ transplantationThe First Affiliated Hospital, Guangzhou Medical UniversityGuangzhouChina
| | - Jun Liao
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Zefeng Guo
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Yuzhu Li
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Siqiang Yang
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Shichao Li
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Hua Chen
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Ying Guo
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Min Li
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Lipei Fan
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Liuyang Li
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Peng Luo
- Department of OncologyZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Ming Zhao
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Yongguang Liu
- Department of Organ transplantationZhujiang HospitalSouthern Medical UniversityGuangzhouChina
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Wang YP, Lu XL, Shao K, Shi HQ, Zhou PJ, Chen B. Improving prediction of tacrolimus concentration using a combination of population pharmacokinetic modeling and machine learning in chinese renal transplant recipients. Front Pharmacol 2024; 15:1389271. [PMID: 38783953 PMCID: PMC11111944 DOI: 10.3389/fphar.2024.1389271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 04/15/2024] [Indexed: 05/25/2024] Open
Abstract
Aims The population pharmacokinetic (PPK) model-based machine learning (ML) approach offers a novel perspective on individual concentration prediction. This study aimed to establish a PPK-based ML model for predicting tacrolimus (TAC) concentrations in Chinese renal transplant recipients. Methods Conventional TAC monitoring data from 127 Chinese renal transplant patients were divided into training (80%) and testing (20%) datasets. A PPK model was developed using the training group data. ML models were then established based on individual pharmacokinetic data derived from the PPK basic model. The prediction performances of the PPK-based ML model and Bayesian forecasting approach were compared using data from the test group. Results The final PPK model, incorporating hematocrit and CYP3A5 genotypes as covariates, was successfully established. Individual predictions of TAC using the PPK basic model, postoperative date, CYP3A5 genotype, and hematocrit showed improved rankings in ML model construction. XGBoost, based on the TAC PPK, exhibited the best prediction performance. Conclusion The PPK-based machine learning approach emerges as a superior option for predicting TAC concentrations in Chinese renal transplant recipients.
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Affiliation(s)
- Yu-Ping Wang
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China
| | - Xiao-Ling Lu
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China
| | - Kun Shao
- Center for Organ Transplantation, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China
| | - Hao-Qiang Shi
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China
| | - Pei-Jun Zhou
- Center for Organ Transplantation, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China
| | - Bing Chen
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China
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Qu J, Bian R, Liu B, Chen J, Zhai J, Teng F, Guo W, Wei H. The pharmacokinetic study of tacrolimus and Wuzhi capsule in Chinese liver transplant patients. Front Pharmacol 2022; 13:956166. [PMID: 36188616 PMCID: PMC9520529 DOI: 10.3389/fphar.2022.956166] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 08/11/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives: Wuzhi Capsule (WZC) is often administrated with tacrolimus in liver transplant patients to reduce the toxicity of tacrolimus and relieve the financial burden of patients. We aimed to investigate the interaction between Wuzhi Capsule (WZC) and tacrolimus in liver transplant patients.Methods: We applied the LC-MS/MS analytical method previously established to study the pharmacokinetic characteristics of the analytes in 15 liver transplant patients. CYP3A5 genotypes were determined in 15 donors and recipients, and they were categorized into CYP3A5 expressers and non-expressers respectively.Results: The influences of CYP3A5 in donors and recipients on the pharmacokinetics of tacrolimus with or without WZC were also studied. We found that 1) WZC could influence the metabolism of tacrolimus, which shortened the Tmax of tacrolimus and decreased V/F and CL/F. 2) Moreover, our results showed that, in donors, the CL/F of tacrolimus were significantly lower in CYP3A5 (CYP3A5*1) expressers (decreased from 24.421 to 12.864) and non-expressers (decreased from 23.532 to 11.822) when co-administration with WZC. For recipients, the decreased trend of CL/F of tacrolimus was seen when co-administrated with WZC by 15.376 and 12.243 in CYP3A5 expressers and non-expressers, respectively.Conclusion: In this study, the pharmacokinetics effects of WZC on tacrolimus were identified. The co-administration of WZC can increase the tacrolimus blood concentration in Chinese liver transplant patients in clinical practice.
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Affiliation(s)
- Jinlong Qu
- Department of Emergency and Critical Care, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Rongrong Bian
- Department of Nephrology, Kidney Institute of PLA, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Binguo Liu
- Department of Pharmacy, Hospital of the Chinese People’s Liberation Army, Tianjin, China
| | - Jiani Chen
- Medical Guarantee Center, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Jingwen Zhai
- Medical Guarantee Center, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Fei Teng
- Institute of Organ Transplantation, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Wenyuan Guo
- Institute of Organ Transplantation, Second Affiliated Hospital of Naval Medical University, Shanghai, China
- *Correspondence: Wenyuan Guo, ; Hua Wei,
| | - Hua Wei
- Medical Guarantee Center, Second Affiliated Hospital of Naval Medical University, Shanghai, China
- *Correspondence: Wenyuan Guo, ; Hua Wei,
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Radhakrishnan A, Kuppusamy G, Ponnusankar S, Mutalik S. Towards next-generation personalization of tacrolimus treatment: a review on advanced diagnostic and therapeutic approaches. Pharmacogenomics 2021; 22:1151-1175. [PMID: 34719935 DOI: 10.2217/pgs-2021-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The benefit of personalized medicine is that it allows the customization of drug therapy - maximizing efficacy while avoiding side effects. Genetic polymorphisms are one of the major contributors to interindividual variability. Currently, the only gold standard for applying personalized medicine is dose titration. Because of technological advancements, converting genotypic data into an optimum dose has become easier than in earlier years. However, for many medications, determining a personalized dose may be difficult, leading to a trial-and-error method. On the other hand, the technologically oriented pharmaceutical industry has a plethora of smart drug delivery methods that are underutilized in customized medicine. This article elaborates the genetic polymorphisms of tacrolimus as case study, and extensively covers the diagnostic and therapeutic technologies which aid in the delivery of personalized tacrolimus treatment for better clinical outcomes, thereby providing a new strategy for implementing personalized medicine.
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Affiliation(s)
- Arun Radhakrishnan
- Department of Pharmaceutics, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamilnadu, India
| | - Gowthamarajan Kuppusamy
- Department of Pharmaceutics, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamilnadu, India
| | - Sivasankaran Ponnusankar
- Department of Pharmacy Practice, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamilnadu, India
| | - Srinivas Mutalik
- Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Karnataka, India
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Effect of ABCB1 3435C>T Genetic Polymorphism on Pharmacokinetic Variables of Tacrolimus in Adult Renal Transplant Recipients: A Systematic Review and Meta-analysis. Clin Ther 2020; 42:2049-2065. [DOI: 10.1016/j.clinthera.2020.07.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 07/28/2020] [Accepted: 07/28/2020] [Indexed: 11/22/2022]
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Wang F, Wei F, Liu H, Wang X, Wang W, Ouyang Y, Liu J, Chen D, Zang Y. Association of the IL-6 Rs1800796 SNP with Concentration/dose Ratios of Tacrolimus and Donor Liver Function after Transplantation. Immunol Invest 2020; 50:939-948. [PMID: 32674627 DOI: 10.1080/08820139.2020.1793775] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Feng Wang
- Organ Transplantation Center, The Affiliated Hospital of Qingdao University, Qingdao, China
- Institute of Transplantationation Science, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Feili Wei
- Institute of Hepatology, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Huan Liu
- Institute of Transplantationation Science, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xin Wang
- Organ Transplantation Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Wenjing Wang
- Institute of Hepatology, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Yabo Ouyang
- Institute of Hepatology, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Jianyu Liu
- Institute of Transplantationation Science, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Dexi Chen
- Institute of Transplantationation Science, The Affiliated Hospital of Qingdao University, Qingdao, China
- Institute of Hepatology, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Yunjin Zang
- Organ Transplantation Center, The Affiliated Hospital of Qingdao University, Qingdao, China
- Institute of Transplantationation Science, The Affiliated Hospital of Qingdao University, Qingdao, China
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Schütte-Nütgen K, Thölking G, Steinke J, Pavenstädt H, Schmidt R, Suwelack B, Reuter S. Fast Tac Metabolizers at Risk ⁻ It is Time for a C/D Ratio Calculation. J Clin Med 2019; 8:jcm8050587. [PMID: 31035422 PMCID: PMC6572069 DOI: 10.3390/jcm8050587] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Revised: 04/19/2019] [Accepted: 04/26/2019] [Indexed: 02/07/2023] Open
Abstract
Tacrolimus (Tac) is a part of the standard immunosuppressive regimen after renal transplantation (RTx). However, its metabolism rate is highly variable. A fast Tac metabolism rate, defined by the Tac blood trough concentration (C) divided by the daily dose (D), is associated with inferior renal function after RTx. Therefore, we hypothesize that the Tac metabolism rate impacts patient and graft survival after RTx. We analyzed all patients who received a RTx between January 2007 and December 2012 and were initially treated with an immunosuppressive regimen containing Tac (Prograf®), mycophenolate mofetil, prednisolone and induction therapy. Patients with a Tac C/D ratio <1.05 ng/mL × 1/mg at three months after RTx were characterized as fast metabolizers and those with a C/D ratio ≥1.05 ng/mL × 1/mg as slow metabolizers. Five-year patient and overall graft survival were noticeably reduced in fast metabolizers. Further, fast metabolizers showed a faster decline of eGFR (estimated glomerular filtration rate) within five years after RTx and a higher rejection rate compared to slow metabolizers. Calculation of the Tac C/D ratio three months after RTx may assist physicians in their daily clinical routine to identify Tac-treated patients at risk for the development of inferior graft function, acute rejections, or even higher mortality.
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Affiliation(s)
- Katharina Schütte-Nütgen
- Department of Medicine D, Division of General Internal Medicine, Nephrology and Rheumatology, University Hospital of Münster, 48149 Münster, Germany.
| | - Gerold Thölking
- Department of Medicine D, Division of General Internal Medicine, Nephrology and Rheumatology, University Hospital of Münster, 48149 Münster, Germany.
| | - Julia Steinke
- Department of Medicine D, Division of General Internal Medicine, Nephrology and Rheumatology, University Hospital of Münster, 48149 Münster, Germany.
| | - Hermann Pavenstädt
- Department of Medicine D, Division of General Internal Medicine, Nephrology and Rheumatology, University Hospital of Münster, 48149 Münster, Germany.
| | - René Schmidt
- Institute of Biostatistics and Clinical Research, University Hospital of Münster, 48149 Münster, Germany.
| | - Barbara Suwelack
- Department of Medicine D, Division of General Internal Medicine, Nephrology and Rheumatology, University Hospital of Münster, 48149 Münster, Germany.
| | - Stefan Reuter
- Department of Medicine D, Division of General Internal Medicine, Nephrology and Rheumatology, University Hospital of Münster, 48149 Münster, Germany.
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Influence of donor liver CYP3A4*20 loss-of-function genotype on tacrolimus pharmacokinetics in transplanted patients. Pharmacogenet Genomics 2018; 28:41-48. [PMID: 29256966 DOI: 10.1097/fpc.0000000000000321] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Cytochrome P450 3A4 (CYP3A4) metabolizes about half of all drugs on the market; however, the impact of CYP3A4 loss-of-function variants on drug exposures remains poorly characterized. Here, we report the effect of the CYP3A4*20 frameshift allele in two Spanish liver transplant patients treated with tacrolimus. PATIENTS AND METHODS A series of 90 transplanted patients (with DNA available for 89 of the recipients and 76 of the liver donors) treated with tacrolimus were included in the study. The genotypes of liver donors and of the recipients for CYP3A4*20 (rs67666821), CYP3A4*22 (rs35599367) and CYP3A5*3 (rs776746) were compared with weight-adjusted tacrolimus dose (D), tacrolimus trough concentration (C0), and dose-adjusted tacrolimus trough concentrations (C0/D) using the Mann-Whitney U-nonparametric test. RESULTS The CYP3A4*20 allele was detected in two of the liver donors. This genotype yielded at all times higher C0/D (2.6-fold, average) than intermediate CYP3A metabolizers (CYP3A4*1/*1 and CYP3A5*3/*3) (P=0.045, 90 days after transplantation). CYP3A4*22 carriers showed a 1.9-fold average increase in C0/D (P=0.047, 0.025, and 0.053; at days 7, 14, and 30 after transplantation, respectively) compared with intermediate metabolizers. In terms of recipients' genotype, CYP3A5*1 had reduced (P=0.025) and CYP3A4*22 increased C0/D (P=0.056) 7 days after transplantation. The incidence of biopsy-proven acute rejection was 0, 12, and 20% for livers with poor, intermediate, and extensive CYP3A-metabolizing capacity, respectively (P=0.0995). CONCLUSION This first description of CYP3A4*20 null genotype in liver-transplanted patients, supports the relevance of CYP3A genotyping in tacrolimus therapy.
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Influence of CYP3A5 genetic differences in tacrolimus on quantitative interstitial fibrosis and long-term graft function in kidney transplant recipients. Int Immunopharmacol 2018; 58:57-63. [PMID: 29550576 DOI: 10.1016/j.intimp.2018.03.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 02/20/2018] [Accepted: 03/05/2018] [Indexed: 01/03/2023]
Abstract
The impact of CYP3A5 polymorphisms on clinical outcomes is controversial. The present study investigated the impact of CYP3A5 genetic differences on the development of interstitial fibrosis (IF) from 0 h to 1 year post-transplantation in biopsy sections from 96 living kidney recipients under the same target trough regimen of tacrolimus. The relationships between CYP3A5 polymorphisms and long-term graft function and death-censored graft survival were also examined. A quantitative analysis of IF was performed using computer-assisted imaging on virtual slides. Percent IF (%IF) in the cortical region at 0 h was defined as the baseline, and increases in the ratio of %IF 1 year post-transplantation were calculated. The relationships between CYP3A5 genetic differences and the development of IF, the incidence of clinical events, and the long-term function and death-censored survival of grafts were assessed. The mean increase in the ratio of %IF from 0 h to 1 year was 1.38 ± 0.74-fold. Despite therapeutic drug monitoring (TDM), trough levels of tacrolimus were lower in carriers with the CYP3A5*1 allele (expressers) than in those with the CTP3A5*3/*3 genotype (non-expressers) throughout the 1-year post-transplantation period. However, CYP3A5 genetic differences were not associated with the development of IF, any clinical events, or the long-term function and survival of grafts. The clinical impact of CYP3A5 genetic differences may be small under the current immunosuppressive regimen consisting of mycophenolate mofetil, steroids, basiliximab, and lower target trough levels of tacrolimus with suitable TDM in a low immunological risk population.
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