产后母亲生理和牛奶成分的变化:一个全面的数据库,用于开发哺乳期生理学基础的药物动力学模型.
Neel Deferm1,2, Jean Dinh1,3, Amita Pansari1
1Predictive Technologies Division, Certara UK Limited, Sheffield, United Kingdom.
Frontiers in pharmacology
|February 18, 2025
概括
这项研究开发了产后生理变化的数学函数,以改善哺乳期药物安全模型. 这些模型提高了对母乳养母亲的药物疗效和安全性的预测.
科学领域:
- 药理学 药理学是指药理学的学科.
- 生理学 生理学 生理学
- 计算生物学 计算生物学
背景情况:
- 哺乳期药物治疗缺乏可靠的药物安全数据,导致治疗延迟或停止母乳养.
- 基于生理学的药理动力学 (PBPK) 模型可以预测药物行为,但需要准确的产后生理数据.
- 了解纵向生理变化对于完善哺乳期PBPK模型至关重要.
研究的目的:
- 收集和分析与母乳中药物分发相关的纵向分娩后生理数据.
- 开发数学函数来描述哺乳期内的这些生理变化.
- 提高哺乳期PBPK模型的准确性和预测能力.
主要方法:
- 进行了对230项研究的元分析,其中包括来自20801名产后妇女的36689个数据点.
- 收集了从分娩后至12个月的母亲和牛奶参数的数据.
- 使用数值和视觉诊断,为每个生理参数安装和选择数学函数.
主要成果:
- 为产后血体积,乳房体积,心脏输出量,GFR,血红素,白蛋白,AAG,牛奶成分和婴儿摄入量的变化生成了数学函数.
- 有足够的数据可用于产后12个月的参数,尽管对于一些人来说,仅限于超过7个月.
- 开发的功能可以集成到哺乳期PBPK模型中.
结论:
- 成功生成了描述分娩后生理变化的数学函数.
- 这些功能将提高哺乳期PBPK模型的准确性.
- 改进的PBPK模型将更好地告知哺乳妇女的药物安全性和有效性.
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