Ge Weihao, Jakobsson Eric
National Center for Supercomputing Applications, Urbana-Champaign, Urbana, IL, United States.
Center for Biophysics and Computational Biology, Urbana-Champaign, Urbana, IL, United States.
Front Neurosci. 2018 Dec 13;12:933. doi: 10.3389/fnins.2018.00933. eCollection 2018.
Lithium has many widely varying biochemical and phenomenological effects, suggesting that a systems biology approach is required to understand its action. Multiple lines of evidence point to lithium intake and consequent blood levels as important determinants of incidence of neurodegenerative disease, showing that understanding lithium action is of high importance. In this paper we undertake first steps toward a systems approach by analyzing mutual enrichment between the interactomes of lithium-sensitive enzymes and the pathways associated with affective and neurodegenerative disorders. This work integrates information from two important databases, STRING and KEGG pathways. We find that for the majority of neurodegenerative disorders the mutual enrichment is many times greater than chance, reinforcing previous lines of evidence that lithium is an important influence on incidence of neurodegeneration. Our work suggests rational prioritization for which disorders are likely to be most sensitive to lithium and identifies genes that are likely to be useful targets for therapy adjunct to lithium.
锂具有许多广泛不同的生化和现象学效应,这表明需要采用系统生物学方法来理解其作用机制。多条证据表明,锂的摄入量以及随之而来的血药浓度是神经退行性疾病发病率的重要决定因素,这表明了解锂的作用至关重要。在本文中,我们通过分析锂敏感酶的相互作用组与情感和神经退行性疾病相关通路之间的相互富集情况,朝着系统方法迈出了第一步。这项工作整合了来自两个重要数据库STRING和KEGG通路的信息。我们发现,对于大多数神经退行性疾病来说,相互富集程度比随机情况高出许多倍,这进一步证实了先前的证据,即锂对神经退行性变的发病率有重要影响。我们的工作为哪些疾病可能对锂最为敏感提供了合理的优先级排序,并确定了可能成为锂辅助治疗有用靶点的基因。