他克莫司在儿童实体器官移植个体中的基因型贝叶斯剂量

Dhrita Khatri, Ben Felmingham, Claire Moore, Smaro Lazarakis, Tayla Stenta, Lane Collier, David Elliott, David Metz, Rachel Conyers
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引用次数: 0

摘要

他克莫司是一种钙调磷酸酶抑制剂,是一种用于实体器官移植的有效免疫抑制剂。然而,其狭窄的治疗指数和药代动力学的高度可变性可能导致无效、毒性和次优结果。在SOT前进行CYP3A5基因分型可以识别他克莫司高或低水平风险的个体,并指导首次给药。基因型引导贝叶斯给药使用群体药代动力学数据和个体患者特征来准确预测达到目标浓度所需的他克莫司剂量。这可以帮助更快地达到他克莫司的目标浓度,并将其维持在范围内,降低器官排斥或他克莫司毒性的风险。本综述旨在评估基因型引导的贝叶斯给药对他克莫司的益处及其准确预测他克莫司给药的能力,从而增加这些个体治疗药物暴露的维持。本系统综述确定了三项研究,这些研究结合了基因分型和贝叶斯知情方法来预测小儿SOT后他克莫司的剂量。研究对象包括369名肾脏移植患者、231名心脏移植患者、246名肝脏移植患者和16名肺移植患者。该综述发现,临床、人口统计学和遗传数据的结合对他克莫司清除率有显著影响。结合这些参数,可以预测SOT后的首次他克莫司剂量和持续治疗的他克莫司剂量,以最佳地维持目标他克莫司水平。综上所述,可以利用临床、人口统计学和遗传数据来开发儿童SOT的个性化他克莫司剂量模型,以预测首次剂量和持续调整,以达到治疗性他克莫司目标,并降低暴露不足和过度的风险。
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Genotype Informed Bayesian Dosing of Tacrolimus in Paediatric Solid Organ Transplant Individuals
Tacrolimus, a calcineurin inhibitor, is an effective immunosuppressant for solid organ transplants (SOT). However, its narrow therapeutic index and high variability in pharmacokinetics can lead to inefficacy, toxicities, and suboptimal outcomes. Genotyping for CYP3A5 gene prior to SOT can identify individuals at risk of high or low tacrolimus levels and guide first-dose dosing. Genotype-guided Bayesian dosing uses population pharmacokinetic data and individual patient characteristics to accurately predict the tacrolimus dose required to achieve a target concentration. This can help achieve target tacrolimus concentrations sooner and maintain them within range, reducing risk of organ rejection or tacrolimus toxicity. This review aims to assess the benefits of genotype-guided Bayesian dosing for tacrolimus and its ability to accurately predict tacrolimus dosing, leading to increased maintenance of therapeutic drug exposure in these individuals. This systematic review identified three studies that incorporated genotyping and Bayesian informed methods to predict tacrolimus dosing in the paediatric population post SOT. The studies included 369 kidney, 231 heart, 246 liver and 16 lung transplant individuals. The review found that combination of clinical, demographic, and genetic data has a significant influence on tacrolimus clearance. Combining these parameters allowed the prediction of first dose tacrolimus post SOT and ongoing therapeutic tacrolimus dosing to optimally maintain target tacrolimus levels. In conclusion, personalised tacrolimus dosing models in paediatric SOT can be developed using clinical, demographic, and genetic data to predict first dose and ongoing adjustments to meet therapeutic tacrolimus targets and reduce the risk of under- and over- exposure.
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