An mTOR inhibitor discovery system using drug-sensitized yeast.

IF 5.4 2区 医学 Q1 GERIATRICS & GERONTOLOGY
GeroScience Pub Date : 2025-08-01 Epub Date: 2025-01-30 DOI:10.1007/s11357-025-01534-8
Anna K Breen, Sarah Thomas, David Beckett, Matthew Agsalud, Graham Gingras, Judd Williams, Brian M Wasko
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引用次数: 0

Abstract

Inhibition of the target of rapamycin (TOR/mTOR) protein kinase by the drug rapamycin extends lifespan and health span across diverse species. However, rapamycin has potential off-target and side effects that warrant the discovery of additional TOR inhibitors. TOR was initially discovered in Saccharomyces cerevisiae (yeast) which contains two TOR paralogs, TOR1 and TOR2. Yeast lacking functional Tor1 are viable but are hypersensitive to growth inhibition by TORC1 inhibitors, which is a property of yeast that can be exploited to identify TOR inhibitors. Additionally, yeast lacking FK506-sensitive proline rotamase (FPR1) or containing a tor1-1 allele (a mutation in the Fpr1-rapamycin binding domain of Tor1) are robustly and selectively resistant to rapamycin and analogs that allosterically inhibit TOR activity via an FPR1-dependent mechanism. To facilitate the identification of TOR inhibitors, we generated a panel of yeast strains with mutations in TOR pathway genes combined with the removal of 12 additional genes involved in drug efflux. This creates a drug-sensitive strain background that can sensitively and effectively identify TOR inhibitors. In a wild-type yeast strain background, 25 µM of Torin1 and 100 µM of GSK2126458 (omipalisib) are necessary to observe TOR1-dependent growth inhibition by these known TOR inhibitors. In contrast, 100 nM Torin1 and 500 nM GSK2126458 (omipalisib) are sufficient to identify TOR1-dependent growth inhibition in the drug-sensitized background. This represents a 200-fold and 250-fold increase in detection sensitivity for Torin1 and GSK2126458, respectively. Additionally, for the TOR inhibitor AZD8055, the drug-sensitive system resolves that the compound results in TOR1-dependent growth sensitivity at 100 µM, whereas no growth inhibition is observed in a wild-type yeast strain background. Our platform also identifies the caffeine analog aminophylline as a TOR1-dependent growth inhibitor via selective tor1 growth sensitivity. We also tested nebivolol, isoliquiritigenin, canagliflozin, withaferin A, ganoderic acid A, and taurine and found no evidence for TOR inhibition using our yeast growth-based model. Our results demonstrate that this system is highly effective at identifying compounds that inhibit the TOR pathway. It offers a rapid, cost-efficient, and sensitive tool for drug discovery, with the potential to expedite the identification of new TOR inhibitors that could serve as geroprotective and/or anti-cancer agents.

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使用药物致敏酵母的mTOR抑制剂发现系统。
药物雷帕霉素对雷帕霉素靶蛋白激酶(TOR/mTOR)的抑制延长了不同物种的寿命和健康跨度。然而,雷帕霉素有潜在的脱靶和副作用,需要发现额外的TOR抑制剂。TOR最初是在酵母中发现的,它含有两个TOR的类似物TOR1和TOR2。缺乏功能性Tor1的酵母是有活力的,但对TORC1抑制剂的生长抑制非常敏感,这是酵母的一个特性,可以用来鉴定TOR抑制剂。此外,缺乏fk506敏感的脯氨酸轮状酶(FPR1)或含有Tor1 -1等位基因(Tor1的FPR1-雷帕霉素结合域的突变)的酵母对雷帕霉素和通过FPR1依赖机制变构抑制TOR活性的类似物具有强而选择性的抗性。为了便于识别TOR抑制剂,我们生成了一组TOR通路基因突变的酵母菌株,并去除了12个参与药物外排的额外基因。这创造了一个药物敏感的菌株背景,可以敏感和有效地识别TOR抑制剂。在野生型酵母菌背景中,需要25µM Torin1和100µM GSK2126458 (omipalisib)来观察这些已知TOR抑制剂对tor1依赖性生长的抑制作用。相比之下,在药物致敏背景下,100 nM Torin1和500 nM GSK2126458 (omipalisib)足以鉴定tor1依赖性生长抑制。这表明Torin1和GSK2126458的检测灵敏度分别提高了200倍和250倍。此外,对于TOR抑制剂AZD8055,药敏系统发现该化合物在100µM时具有tor1依赖的生长敏感性,而在野生型酵母菌背景下没有观察到生长抑制作用。我们的平台还通过选择性的tor1生长敏感性鉴定了咖啡因类似物氨茶碱作为tor1依赖性生长抑制剂。我们还测试了奈比沃罗、异异黄酮原素、卡格列净、内夫林A、灵芝酸A和牛磺酸,使用我们基于酵母生长的模型没有发现TOR抑制的证据。我们的研究结果表明,该系统在识别抑制TOR途径的化合物方面非常有效。它为药物发现提供了一种快速、经济、敏感的工具,有可能加快识别新的TOR抑制剂,这些抑制剂可以作为老年保护和/或抗癌药物。
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来源期刊
GeroScience
GeroScience Medicine-Complementary and Alternative Medicine
CiteScore
10.50
自引率
5.40%
发文量
182
期刊介绍: GeroScience is a bi-monthly, international, peer-reviewed journal that publishes articles related to research in the biology of aging and research on biomedical applications that impact aging. The scope of articles to be considered include evolutionary biology, biophysics, genetics, genomics, proteomics, molecular biology, cell biology, biochemistry, endocrinology, immunology, physiology, pharmacology, neuroscience, and psychology.
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