Considerations for using isolated cell systems to understand cardiac metabolism and biology.
Considerations for using isolated cell systems to understand cardiac metabolism and biology.
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使用分离的细胞系统了解心脏代谢和生物学的注意事项。
DOI：
10.1016/j.yjmcc.2020.12.007
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发表时间：
2021-04
影响因子：
5
通讯作者：
Hill BG
中科院分区：
文献类型：
--
作者：
McNally LA;Altamimi TR;Fulghum K;Hill BG
心肌代谢活动的变化从根本上与心脏健康和重塑有关。原代心肌细胞、诱导多能干细胞衍生的心肌细胞和转化的心肌细胞系是用于理解（病理）生理条件或刺激如何促成心脏代谢变化的常见模型。这些细胞模型也有助于确定心脏功能障碍和重塑的代谢机制。虽然技术进步提高了我们测量心肌细胞代谢的能力，但代谢测定方案和细胞模型中通常存在异质性，这可能会阻碍数据解释和心脏（病理）生理机制的识别。在这篇综述中，我们讨论了整合心肌细胞模型的技术，已成为相对常见的领域，如呼吸测定和细胞外流量分析的考虑。此外，我们还提供了补充XF分析的代谢测定的概述，不仅提供了分解代谢途径活性的信息，还提供了生物合成途径活性和氧化还原状态的信息。培养对心肌细胞模型中代谢测量的优点和局限性的更广泛的理解将继续对心脏健康和病理生理学的连贯代谢机制的发展至关重要。
Changes in myocardial metabolic activity are fundamentally linked to cardiac health and remodeling. Primary cardiomyocytes, induced pluripotent stem cell-derived cardiomyocytes, and transformed cardiomyocyte cell lines are common models used to understand how (patho)physiological conditions or stimuli contribute to changes in cardiac metabolism. These cell models are helpful also for defining metabolic mechanisms of cardiac dysfunction and remodeling. Although technical advances have improved our capacity to measure cardiomyocyte metabolism, there is often heterogeneity in metabolic assay protocols and cell models, which could hinder data interpretation and discernment of the mechanisms of cardiac (patho)physiology. In this review, we discuss considerations for integrating cardiomyocyte cell models with techniques that have become relatively common in the field, such as respirometry and extracellular flux analysis. Furthermore, we provide overviews of metabolic assays that complement XF analyses and that provide information on not only catabolic pathway activity, but biosynthetic pathway activity and redox status as well. Cultivating a more widespread understanding of the advantages and limitations of metabolic measurements in cardiomyocyte cell models will continue to be essential for the development of coherent metabolic mechanisms of cardiac health and pathophysiology.
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癌细胞对葡萄糖限制和双胍类药物敏感性的代谢决定因素。
影响因子：
64.8
作者：
Birsoy, Kivanc;Possemato, Richard;Lorbeer, Franziska K.;Bayraktar, Erol C.;Thiru, Prathapan;Yucel, Burcu;Wang, Tim;Chen, Walter W.;Clish, Clary B.;Sabatini, David M.
通讯作者：
Sabatini, David M.
DOI：
10.1126/science.aad5168
发表时间：
2016-06-17
期刊：
Science (New York, N.Y.)
影响因子：
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作者：
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通讯作者：
Goodman RH
影响因子：
3
作者：
Bilan, Dmitry S.;Matlashov, Mikhail E.;Gorokhovatsky, Andrey Yu.;Schultz, Carsten;Enikolopov, Grigori;Belousov, Vsevolod V.
通讯作者：
Belousov, Vsevolod V.
影响因子：
7.4
作者：
Basu SS;Randall EC;Regan MS;Lopez BGC;Clark AR;Schmitt ND;Agar JN;Dillon DA;Agar NYR
通讯作者：
Agar NYR
DOI：
10.1016/j.bbamcr.2015.11.005
发表时间：
2016-07
期刊：
Biochimica et biophysica acta
影响因子：
--
作者：
Bedada FB;Wheelwright M;Metzger JM
通讯作者：
Metzger JM