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神经发育障碍的分子系统生物学,以雷特综合征为例。

Molecular Systems Biology of Neurodevelopmental Disorders, Rett Syndrome as an Archetype.

作者信息

Faundez Victor, Wynne Meghan, Crocker Amanda, Tarquinio Daniel

机构信息

Department of Cell Biology, Emory University, Atlanta, GA, United States.

Program in Neuroscience, Middlebury College, Middlebury, VT, United States.

出版信息

Front Integr Neurosci. 2019 Jul 17;13:30. doi: 10.3389/fnint.2019.00030. eCollection 2019.

Abstract

Neurodevelopmental disorders represent a challenging biological and medical problem due to their genetic and phenotypic complexity. In many cases, we lack the comprehensive understanding of disease mechanisms necessary for targeted therapeutic development. One key component that could improve both mechanistic understanding and clinical trial design is reliable molecular biomarkers. Presently, no objective biological markers exist to evaluate most neurodevelopmental disorders. Here, we discuss how systems biology and "omic" approaches can address the mechanistic and biomarker limitations in these afflictions. We present heuristic principles for testing the potential of systems biology to identify mechanisms and biomarkers of disease in the example of Rett syndrome, a neurodevelopmental disorder caused by a well-defined monogenic defect in methyl-CpG-binding protein 2 (MECP2). We propose that such an approach can not only aid in monitoring clinical disease severity but also provide a measure of target engagement in clinical trials. By deepening our understanding of the "big picture" of systems biology, this approach could even help generate hypotheses for drug development programs, hopefully resulting in new treatments for these devastating conditions.

摘要

神经发育障碍因其遗传和表型复杂性而成为一个具有挑战性的生物学和医学问题。在许多情况下,我们缺乏对靶向治疗开发所必需的疾病机制的全面理解。一个既能改善机制理解又能改进临床试验设计的关键要素是可靠的分子生物标志物。目前,尚无客观的生物标志物可用于评估大多数神经发育障碍。在此,我们讨论系统生物学和“组学”方法如何解决这些疾病在机制和生物标志物方面的局限性。我们以雷特综合征为例,提出用于测试系统生物学在识别疾病机制和生物标志物方面潜力的启发式原则,雷特综合征是一种由甲基-CpG结合蛋白2(MECP2)中明确的单基因缺陷引起的神经发育障碍。我们认为,这种方法不仅有助于监测临床疾病严重程度,还能在临床试验中提供靶点参与度的衡量标准。通过加深我们对系统生物学“全貌”的理解,这种方法甚至可以帮助生成药物开发项目的假设,有望为这些毁灭性疾病带来新的治疗方法。

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