心、肾皮质和外髓质基质依赖性线粒体呼吸和生物能量学的计算模型。

IF 5.1 Q2 CELL BIOLOGY Function (Oxford, England) Pub Date : 2023-07-25 eCollection Date: 2023-01-01 DOI:10.1093/function/zqad038
Shima Sadri, Xiao Zhang, Said H Audi, Allen W Cowley, Ranjan K Dash
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引用次数: 1

摘要

综合计算建模提供了一个机制和定量框架来表征线粒体呼吸和生物能量学对不同代谢底物的反应。这些改变在影响心脏和肾脏等代谢活跃器官的疾病的发病机制中起着关键作用。因此,本研究旨在开发和验证心脏、肾脏皮层和髓质外侧(OM)线粒体呼吸和生物能量学的热力学约束集成计算模型。这些模型结合了主要生化反应和转运过程的动力学以及这些组织线粒体的调节机制。诸如Michaelis-Menten常数之类的内在模型参数被固定在先前估计的值,而诸如最大反应和传输速度之类的外在模型参数被分别估计用于每个组织。这是通过将模型溶液与我们最近发表的呼吸测量数据进行拟合来实现的,这些数据是利用各种NADH-和FADH2相关的代谢底物在分离的大鼠心脏和肾脏皮层以及OM线粒体中测量的。通过预测额外的呼吸测量和生物能量学数据来验证模型,这些数据不用于估计外部模型参数。该模型能够预测不同生理和病理条件下组织特异性和底物依赖性线粒体出现的代谢系统特性,如氧化还原状态、酶和转运蛋白通量、代谢产物浓度、膜电位和呼吸控制指数。该模型还能够定量表征NADH和FADH2相关代谢途径的差异调节,这些代谢途径对心脏、肾脏皮层和OM线粒体中氧化磷酸化和ATP合成的调节有不同的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Computational Modeling of Substrate-Dependent Mitochondrial Respiration and Bioenergetics in the Heart and Kidney Cortex and Outer Medulla.

Integrated computational modeling provides a mechanistic and quantitative framework to characterize alterations in mitochondrial respiration and bioenergetics in response to different metabolic substrates in-silico. These alterations play critical roles in the pathogenesis of diseases affecting metabolically active organs such as heart and kidney. Therefore, the present study aimed to develop and validate thermodynamically constrained integrated computational models of mitochondrial respiration and bioenergetics in the heart and kidney cortex and outer medulla (OM). The models incorporated the kinetics of major biochemical reactions and transport processes as well as regulatory mechanisms in the mitochondria of these tissues. Intrinsic model parameters such as Michaelis-Menten constants were fixed at previously estimated values, while extrinsic model parameters such as maximal reaction and transport velocities were estimated separately for each tissue. This was achieved by fitting the model solutions to our recently published respirometry data measured in isolated rat heart and kidney cortex and OM mitochondria utilizing various NADH- and FADH2-linked metabolic substrates. The models were validated by predicting additional respirometry and bioenergetics data, which were not used for estimating the extrinsic model parameters. The models were able to predict tissue-specific and substrate-dependent mitochondrial emergent metabolic system properties such as redox states, enzyme and transporter fluxes, metabolite concentrations, membrane potential, and respiratory control index under diverse physiological and pathological conditions. The models were also able to quantitatively characterize differential regulations of NADH- and FADH2-linked metabolic pathways, which contribute differently toward regulations of oxidative phosphorylation and ATP synthesis in the heart and kidney cortex and OM mitochondria.

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CiteScore
5.70
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