期刊
MOLECULAR SYSTEMS BIOLOGY
卷 16, 期 5, 页码 -出版社
WILEY
DOI: 10.15252/msb.20198982
关键词
flux balance analysis; human metabolism; metabolic modeling; microbiome
资金
- Luxembourg National Research Fund (FNR) through the ATTRACT programme [FNR/A12/01]
- National Centre of Excellence in Research (NCER) on Parkinson's disease
- European Union's Horizon 2020 research and innovation program [668738]
- European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program [757922]
- OPEN programme grants [FNR/O16/11402054]
Comprehensive molecular-level models of human metabolism have been generated on a cellular level. However, models of whole-body metabolism have not been established as they require new methodological approaches to integrate molecular and physiological data. We developed a new metabolic network reconstruction approach that used organ-specific information from literature and omics data to generate two sex-specific whole-body metabolic (WBM) reconstructions. These reconstructions capture the metabolism of 26 organs and six blood cell types. Each WBM reconstruction represents whole-body organ-resolved metabolism with over 80,000 biochemical reactions in an anatomically and physiologically consistent manner. We parameterized the WBM reconstructions with physiological, dietary, and metabolomic data. The resulting WBM models could recapitulate known inter-organ metabolic cycles and energy use. We also illustrate that the WBM models can predict known biomarkers of inherited metabolic diseases in different biofluids. Predictions of basal metabolic rates, by WBM models personalized with physiological data, outperformed current phenomenological models. Finally, integrating microbiome data allowed the exploration of host-microbiome co-metabolism. Overall, the WBM reconstructions, and their derived computational models, represent an important step toward virtual physiological humans.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据