Lim Christine M, Vendruscolo Michele
Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom.
PLoS Comput Biol. 2025 Jun 17;21(6):e1013155. doi: 10.1371/journal.pcbi.1013155. eCollection 2025 Jun.
The protein homeostasis (proteostasis) network maintains the proteome in a functional state. Although this network has been comprehensively mapped, its perturbations in disease remain incompletely characterised. To address this problem, here we define the proteostasis signatures, which represent the characteristic patterns of change in the proteostasis network associated with disease. We performed a large-scale, pan-disease analysis across 32 human diseases spanning 7 disease types. We first identified unique proteostasis perturbations in specific disease states. We then uncovered distinctive signatures differentiating disease types, pointing to a range of proteostasis mechanisms in disease development. Next, we tracked the temporal evolution of proteostasis signatures, revealing shifts in proteostasis disruption over the course of disease progression. Finally, we demonstrated how smoking, a major risk factor for many diseases, impairs proteostasis in a manner similar to disease, potentially creating a predisposed environment for disease onset. These results illustrate the opportunities offered by the study of human diseases from the perspective of proteostasis signatures.
蛋白质稳态(proteostasis)网络维持蛋白质组处于功能状态。尽管该网络已被全面绘制,但它在疾病中的扰动仍未得到充分表征。为了解决这个问题,我们在此定义了蛋白质稳态特征,它代表了与疾病相关的蛋白质稳态网络中的特征性变化模式。我们对涵盖7种疾病类型的32种人类疾病进行了大规模的全疾病分析。我们首先在特定疾病状态中识别出独特的蛋白质稳态扰动。然后我们发现了区分疾病类型的独特特征,这表明在疾病发展过程中有一系列蛋白质稳态机制。接下来,我们追踪了蛋白质稳态特征的时间演变,揭示了疾病进展过程中蛋白质稳态破坏的变化。最后,我们证明了吸烟,作为许多疾病的主要危险因素,如何以与疾病相似的方式损害蛋白质稳态,可能为疾病发作创造一个易患环境。这些结果说明了从蛋白质稳态特征的角度研究人类疾病所带来的机遇。