Sigma-2/TMEM97 参与胆固醇代谢的机制

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of cellular biochemistry Pub Date : 2024-09-20 DOI:10.1002/jcb.30645
Martina Parente, Claudia Tonini, Sara Caputo, Marco Fiocchetti, Valentina Pallottini
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引用次数: 0

摘要

大量研究集中于细胞胆固醇及其调控,这主要是因为胆固醇具有重要的生理作用,而且与平衡失调导致的多种疾病有关。因此,研究胆固醇代谢和调节蛋白网络仍然是生物医学研究的一项持续挑战,以寻找新的分子靶点来控制病理状态下的异常胆固醇水平。有证据表明,Sigma-2/TMEM97 受体能调节胆固醇代谢。然而,迄今为止,人们对其机制仍不完全了解。因此,本研究旨在采用一种基于选择性 Sigma-2/TMEM97 激动剂(利咪唑和西拉美辛)的药理学方法来揭示该受体对胆固醇平衡的贡献。我们的研究结果表明,Sigma-2/TMEM97 的激活可通过改变参与胆固醇摄取的关键蛋白来调节胆固醇摄取,从而导致游离胆固醇和中性脂质的积累。这揭示了其中隐含的潜在机制,为胆固醇代谢稳态的复杂谜团提供了新的线索。
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Mechanisms of Sigma-2/TMEM97 Involvement in Cholesterol Metabolism

Extensive research has focused on cellular cholesterol and its regulation, primarily due to its crucial physiological roles and its association with numerous diseases resulting from dysregulated homeostasis. Consequently, investigating cholesterol metabolism and the network of regulating proteins remains an ongoing challenge for biomedical research seeking new molecular targets to manage aberrant cholesterol levels in pathologic conditions. There is evidence that Sigma-2/TMEM97 receptor regulates cholesterol metabolism. However, the mechanisms remain incompletely understood to date. Therefore, this study aimed to employ a pharmacological approach based on selective Sigma-2/TMEM97 agonists, rimcazole and siramesine, to uncover the contribution of this receptor to cholesterol homeostasis. Our results indicate that Sigma-2/TMEM97 activation modulates cholesterol uptake by altering key proteins involved in, leading to free cholesterol and neutral lipids accumulation. This sheds light on potential mechanisms implied, contributing a new piece to the intricate puzzle of cholesterol metabolism homeostasis.

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来源期刊
Journal of cellular biochemistry
Journal of cellular biochemistry 生物-生化与分子生物学
CiteScore
9.90
自引率
0.00%
发文量
164
审稿时长
1 months
期刊介绍: The Journal of Cellular Biochemistry publishes descriptions of original research in which complex cellular, pathogenic, clinical, or animal model systems are studied by biochemical, molecular, genetic, epigenetic or quantitative ultrastructural approaches. Submission of papers reporting genomic, proteomic, bioinformatics and systems biology approaches to identify and characterize parameters of biological control in a cellular context are encouraged. The areas covered include, but are not restricted to, conditions, agents, regulatory networks, or differentiation states that influence structure, cell cycle & growth control, structure-function relationships.
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