爱尔兰戈尔韦大学Ines Thiele研究小组报道，用于新生儿和婴儿的个性化代谢全身模型可预测生长和遗传代谢疾病的生物标志物。该研究于2024年6月3日发表于国际一流学术期刊《细胞—代谢》杂志上。

据介绍，器官特异性动力学的综合全身模型(WBMs)已被开发用于模拟成人代谢，但这种模型尚不存在于婴儿中。

课题组人员提出了360个跨越生命头180天的器官分辨率、性别特异性的新生儿和婴儿代谢模型。这些婴儿全身模型被参数化，以代表新生儿和婴儿不同的代谢特征，包括营养、能量需求和体温调节。研究团队证明预测的婴儿生长与世界卫生组织的建议是一致的。课题组人员通过模拟1万名新生儿的血液代谢组和出生体重，来评估婴儿体重指标的可靠性和个性化能力。

此外，婴儿全身模型准确地预测了已知生物标志物随时间的变化，以及对遗传性代谢性疾病治疗策略的代谢反应。婴儿全身模型为个性化医疗带来了希望，因为婴儿全身模型可能是新生儿和婴儿新陈代谢数字化双胞胎的第一步。

附：英文原文

Title: Personalized metabolic whole-body models for newborns and infants predict growth and biomarkers of inherited metabolic diseases

Author: Elaine Zaunseder, Ulrike Mütze, Jürgen G. Okun, Georg F. Hoffmann, Stefan Klker, Vincent Heuveline, Ines Thiele

Issue&Volume: 2024-06-03

Abstract: Comprehensive whole-body models (WBMs) accounting for organ-specific dynamics have been developed to simulate adult metabolism, but such models do not exist for infants. Here, we present a resource of 360 organ-resolved, sex-specific models of newborn and infant metabolism (infant-WBMs) spanning the first 180 days of life. These infant-WBMs were parameterized to represent the distinct metabolic characteristics of newborns and infants, including nutrition, energy requirements, and thermoregulation. We demonstrate that the predicted infant growth was consistent with the recommendation by the World Health Organization. We assessed the infant-WBMs’ reliability and capabilities for personalization by simulating 10,000 newborns based on their blood metabolome and birth weight. Furthermore, the infant-WBMs accurately predicted changes in known biomarkers over time and metabolic responses to treatment strategies for inherited metabolic diseases. The infant-WBM resource holds promise for personalized medicine, as the infant-WBMs could be a first step to digital metabolic twins for newborn and infant metabolism.

DOI: 10.1016/j.cmet.2024.05.006

Source: https://www.cell.com/cell-metabolism/fulltext/S1550-4131(24)00182-7