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Genotype-guided model significantly improves accuracy of tacrolimus initial dosing after liver transplantation
BACKGROUND: The initial dose of tacrolimus after liver transplantation (LT) is critical for rapidly achieving the steady state of the drug concentration, minimizing the potential adverse reactions and warranting long-term patient prognosis. We aimed to develop and validate a genotype-guided model fo...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700266/ https://www.ncbi.nlm.nih.gov/pubmed/36444212 http://dx.doi.org/10.1016/j.eclinm.2022.101752 |
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author | Shi, Baojie Liu, Yuan Liu, Dehua Yuan, Liyun Guo, Wenzhi Wen, Peihao Su, Zhaojie Wang, Jie Xu, Shiquan Xia, Junjie An, Wenbin Wang, Rui Wen, Peizhen Xing, Tonghai Zhang, Jinyan Gu, Haitao Wang, Zhaowen Zhong, Lin Fan, Junwei Li, Hao Zhang, Weituo Peng, Zhihai |
author_facet | Shi, Baojie Liu, Yuan Liu, Dehua Yuan, Liyun Guo, Wenzhi Wen, Peihao Su, Zhaojie Wang, Jie Xu, Shiquan Xia, Junjie An, Wenbin Wang, Rui Wen, Peizhen Xing, Tonghai Zhang, Jinyan Gu, Haitao Wang, Zhaowen Zhong, Lin Fan, Junwei Li, Hao Zhang, Weituo Peng, Zhihai |
author_sort | Shi, Baojie |
collection | PubMed |
description | BACKGROUND: The initial dose of tacrolimus after liver transplantation (LT) is critical for rapidly achieving the steady state of the drug concentration, minimizing the potential adverse reactions and warranting long-term patient prognosis. We aimed to develop and validate a genotype-guided model for determining personalized initial dose of tacrolimus. METHODS: By combining pharmacokinetic modeling, pharmacogenomic analysis and multiple statistical methods, we developed a genotype-guided model to predict individualized tacrolimus initial dose after LT in the discovery (n = 150) and validation cohorts (n = 97) respectively. This model was further validated in a prospective, randomized and single-blind clinical trial from August, 2021 to February, 2022 (n = 40, ChiCTR2100050288). FINDINGS: Our model included donor's and recipient's genotypes, recipient's weight and total bilirubin, which achieved an area under the curve of receiver operating characteristic curve (AUC of ROC) of 0.88 and 0.79 in the discovery and validation cohorts, respectively. We found that patients who were given tacrolimus within the recommended concentration range (RCR) (4–10 ng/mL), the new-onset metabolic syndromes are lower, especially for new-onset diabetes (p = 0.043). In the clinical trial, compared to those in experience-based (EB) group, patients in the model-based (MB) group were more likely to achieving the RCR (75% vs 40%, p = 0.025) with a more variable individualized dose (0.023–0.096 mg/kg/day vs 0.045–0.057 mg/kg/day). Moreover, significantly fewer medication adjustments were required for the MB group than the EB group (2.75 ± 2.01 vs 6.05 ± 3.35, p = 0.001). INTERPRETATION: Our genotype-based model significantly improved the initial dosing accuracy of tacrolimus and reduced the number of medication adjustments, which are critical for improving the prognosis of LT patients. FUNDING: National Natural Science Foundation of China, Shanghai three-year action plan, National Science and Technology Major Project of China. |
format | Online Article Text |
id | pubmed-9700266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97002662022-11-27 Genotype-guided model significantly improves accuracy of tacrolimus initial dosing after liver transplantation Shi, Baojie Liu, Yuan Liu, Dehua Yuan, Liyun Guo, Wenzhi Wen, Peihao Su, Zhaojie Wang, Jie Xu, Shiquan Xia, Junjie An, Wenbin Wang, Rui Wen, Peizhen Xing, Tonghai Zhang, Jinyan Gu, Haitao Wang, Zhaowen Zhong, Lin Fan, Junwei Li, Hao Zhang, Weituo Peng, Zhihai eClinicalMedicine Articles BACKGROUND: The initial dose of tacrolimus after liver transplantation (LT) is critical for rapidly achieving the steady state of the drug concentration, minimizing the potential adverse reactions and warranting long-term patient prognosis. We aimed to develop and validate a genotype-guided model for determining personalized initial dose of tacrolimus. METHODS: By combining pharmacokinetic modeling, pharmacogenomic analysis and multiple statistical methods, we developed a genotype-guided model to predict individualized tacrolimus initial dose after LT in the discovery (n = 150) and validation cohorts (n = 97) respectively. This model was further validated in a prospective, randomized and single-blind clinical trial from August, 2021 to February, 2022 (n = 40, ChiCTR2100050288). FINDINGS: Our model included donor's and recipient's genotypes, recipient's weight and total bilirubin, which achieved an area under the curve of receiver operating characteristic curve (AUC of ROC) of 0.88 and 0.79 in the discovery and validation cohorts, respectively. We found that patients who were given tacrolimus within the recommended concentration range (RCR) (4–10 ng/mL), the new-onset metabolic syndromes are lower, especially for new-onset diabetes (p = 0.043). In the clinical trial, compared to those in experience-based (EB) group, patients in the model-based (MB) group were more likely to achieving the RCR (75% vs 40%, p = 0.025) with a more variable individualized dose (0.023–0.096 mg/kg/day vs 0.045–0.057 mg/kg/day). Moreover, significantly fewer medication adjustments were required for the MB group than the EB group (2.75 ± 2.01 vs 6.05 ± 3.35, p = 0.001). INTERPRETATION: Our genotype-based model significantly improved the initial dosing accuracy of tacrolimus and reduced the number of medication adjustments, which are critical for improving the prognosis of LT patients. FUNDING: National Natural Science Foundation of China, Shanghai three-year action plan, National Science and Technology Major Project of China. Elsevier 2022-11-24 /pmc/articles/PMC9700266/ /pubmed/36444212 http://dx.doi.org/10.1016/j.eclinm.2022.101752 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Articles Shi, Baojie Liu, Yuan Liu, Dehua Yuan, Liyun Guo, Wenzhi Wen, Peihao Su, Zhaojie Wang, Jie Xu, Shiquan Xia, Junjie An, Wenbin Wang, Rui Wen, Peizhen Xing, Tonghai Zhang, Jinyan Gu, Haitao Wang, Zhaowen Zhong, Lin Fan, Junwei Li, Hao Zhang, Weituo Peng, Zhihai Genotype-guided model significantly improves accuracy of tacrolimus initial dosing after liver transplantation |
title | Genotype-guided model significantly improves accuracy of tacrolimus initial dosing after liver transplantation |
title_full | Genotype-guided model significantly improves accuracy of tacrolimus initial dosing after liver transplantation |
title_fullStr | Genotype-guided model significantly improves accuracy of tacrolimus initial dosing after liver transplantation |
title_full_unstemmed | Genotype-guided model significantly improves accuracy of tacrolimus initial dosing after liver transplantation |
title_short | Genotype-guided model significantly improves accuracy of tacrolimus initial dosing after liver transplantation |
title_sort | genotype-guided model significantly improves accuracy of tacrolimus initial dosing after liver transplantation |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700266/ https://www.ncbi.nlm.nih.gov/pubmed/36444212 http://dx.doi.org/10.1016/j.eclinm.2022.101752 |
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