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危重症患者肌肉蛋白周转率和胰岛素抵抗的信号:叙述性综述。

Signals for Muscular Protein Turnover and Insulin Resistance in Critically Ill Patients: A Narrative Review.

机构信息

Departamento de Bioquímica, Facultad de Ciencias Médicas, Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires C1121ABE, Argentina.

Hospital Británico de Buenos Aires, Equipo de Soporte Nutricional, Ciudad Autónoma de Buenos Aires C1280AEB, Argentina.

出版信息

Nutrients. 2023 Feb 21;15(5):1071. doi: 10.3390/nu15051071.

Abstract

Sarcopenia in critically ill patients is a highly prevalent comorbidity. It is associated with a higher mortality rate, length of mechanical ventilation, and probability of being sent to a nursing home after the Intensive Care Unit (ICU). Despite the number of calories and proteins delivered, there is a complex network of signals of hormones and cytokines that affect muscle metabolism and its protein synthesis and breakdown in critically ill and chronic patients. To date, it is known that a higher number of proteins decreases mortality, but the exact amount needs to be clarified. This complex network of signals affects protein synthesis and breakdown. Some hormones regulate metabolism, such as insulin, insulin growth factor glucocorticoids, and growth hormone, whose secretion is affected by feeding states and inflammation. In addition, cytokines are involved, such as TNF-alpha and HIF-1. These hormones and cytokines have common pathways that activate muscle breakdown effectors, such as the ubiquitin-proteasome system, calpain, and caspase-3. These effectors are responsible for protein breakdown in muscles. Many trials have been conducted with hormones with different results but not with nutritional outcomes. This review examines the effect of hormones and cytokines on muscles. Knowing all the signals and pathways that affect protein synthesis and breakdown can be considered for future therapeutics.

摘要

危重症患者的肌肉减少症是一种高发合并症。它与更高的死亡率、机械通气时间以及入住重症监护病房(ICU)后被送往疗养院的可能性相关。尽管提供了大量的热量和蛋白质,但仍存在着复杂的激素和细胞因子信号网络,这些信号会影响肌肉代谢及其蛋白质的合成和分解。迄今为止,人们已经知道,较高数量的蛋白质可以降低死亡率,但确切的数量仍需要澄清。这个复杂的信号网络影响着蛋白质的合成和分解。一些激素调节代谢,如胰岛素、胰岛素生长因子、糖皮质激素和生长激素,它们的分泌受到喂养状态和炎症的影响。此外,细胞因子也参与其中,如 TNF-α和 HIF-1。这些激素和细胞因子有共同的途径,可激活肌肉分解效应器,如泛素-蛋白酶体系统、钙蛋白酶和半胱天冬酶-3。这些效应器负责肌肉中的蛋白质分解。已经进行了许多针对具有不同结果的激素的试验,但没有针对营养结果的试验。本综述探讨了激素和细胞因子对肌肉的影响。了解所有影响蛋白质合成和分解的信号和途径,可以为未来的治疗提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5014/10005516/cc0a04e4e8e3/nutrients-15-01071-g001.jpg

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