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基于智能雾计算的心肌蛋白质组学及其在运动中的应用。

Myocardial Proteomics Based on Smart Fog Computing and Its Application in Sports.

机构信息

School of Physical Education and Health, LinYi University, LinYi 276000, China.

出版信息

Comput Intell Neurosci. 2022 Feb 2;2022:1471916. doi: 10.1155/2022/1471916. eCollection 2022.

Abstract

How to strengthen physical fitness to improve the effect and efficiency of sports is an important research direction worthy of research. In response to these problems and limitations, Smart Fog Computing technology is introduced in this paper. Taking rats as the research object, the effective quantitative analysis and research of aerobic exercise on myocardial proteome are achieved through combining the business scope of myocardial proteomics, and connecting corresponding continuous aerobic exercises, verified by simulation analysis. The simulation research results show that the smart fog calculation is effective. For moderate-intensity aerobic exercise, the expression and intensity of the corresponding myocardial protein are changed significantly, and the corresponding heart becomes larger; meanwhile, moderate aerobic exercise can improve the metabolism and enhance digestive ability.

摘要

如何加强体质以提高运动的效果和效率是一个值得研究的重要研究方向。针对这些问题和局限性,本文引入了智能雾计算技术。以大鼠为研究对象,通过将心肌蛋白质组学的业务范围相结合,并连接相应的连续有氧运动,实现了对有氧运动对心肌蛋白质组的有效定量分析和研究,通过仿真分析得到了验证。仿真研究结果表明,智能雾计算是有效的。对于中等强度的有氧运动,相应心肌蛋白的表达和强度会发生明显变化,相应的心脏会变大;同时,中等强度的有氧运动可以改善新陈代谢,增强消化能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f23/8828339/1943375d0c0b/CIN2022-1471916.001.jpg

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