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基因和蛋白质表达及代谢通量分析揭示了肝组织在体和离体的代谢缩放现象。

Gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo.

机构信息

Department of Cellular & Molecular Physiology, Yale University, New Haven, United States.

Department of Internal Medicine - Endocrinology, Yale University, New Haven, United States.

出版信息

Elife. 2023 May 23;12:e78335. doi: 10.7554/eLife.78335.

DOI:10.7554/eLife.78335
PMID:37219930
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10205083/
Abstract

Metabolic scaling, the inverse correlation of metabolic rates to body mass, has been appreciated for more than 80 years. Studies of metabolic scaling have largely been restricted to mathematical modeling of caloric intake and oxygen consumption, and mostly rely on computational modeling. The possibility that other metabolic processes scale with body size has not been comprehensively studied. To address this gap in knowledge, we employed a systems approach including transcriptomics, proteomics, and measurement of in vitro and in vivo metabolic fluxes. Gene expression in livers of five species spanning a 30,000-fold range in mass revealed differential expression according to body mass of genes related to cytosolic and mitochondrial metabolic processes, and to detoxication of oxidative damage. To determine whether flux through key metabolic pathways is ordered inversely to body size, we applied stable isotope tracer methodology to study multiple cellular compartments, tissues, and species. Comparing C57BL/6 J mice with Sprague-Dawley rats, we demonstrate that while ordering of metabolic fluxes is not observed in in vitro cell-autonomous settings, it is present in liver slices and in vivo. Together, these data reveal that metabolic scaling extends beyond oxygen consumption to other aspects of metabolism, and is regulated at the level of gene and protein expression, enzyme activity, and substrate supply.

摘要

代谢缩放,即代谢率与体重的反比关系,已经被人们认识了 80 多年。代谢缩放的研究主要局限于热量摄入和氧气消耗的数学建模,并且主要依赖于计算建模。其他代谢过程是否与体型成比例还没有得到全面研究。为了弥补这一知识空白,我们采用了一种系统方法,包括转录组学、蛋白质组学以及体外和体内代谢通量的测量。跨越 30000 倍体重范围的五个物种的肝脏中的基因表达显示,与细胞质和线粒体代谢过程以及氧化损伤解毒有关的基因根据体重表现出差异表达。为了确定关键代谢途径的通量是否按照体型的反比顺序排列,我们应用稳定同位素示踪剂方法研究了多个细胞区室、组织和物种。通过比较 C57BL/6J 小鼠和 Sprague-Dawley 大鼠,我们证明,虽然代谢通量的排序在体外细胞自主环境中观察不到,但在肝切片和体内是存在的。这些数据共同表明,代谢缩放不仅限于氧气消耗,还扩展到其他代谢方面,并且受到基因和蛋白质表达、酶活性以及底物供应水平的调节。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/442ff18fbfa6/elife-78335-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/901380056b3a/elife-78335-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/3e62e47c5488/elife-78335-fig2.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/2e55f26e1263/elife-78335-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/535fe8b6211e/elife-78335-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/8317036fb86d/elife-78335-fig4-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/442ff18fbfa6/elife-78335-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/901380056b3a/elife-78335-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/3e62e47c5488/elife-78335-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/e9028444809a/elife-78335-fig2-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/2e55f26e1263/elife-78335-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/535fe8b6211e/elife-78335-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/8317036fb86d/elife-78335-fig4-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3f/10205083/442ff18fbfa6/elife-78335-fig5.jpg

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