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多组学方法有望发现与阿尔茨海默病临床相关的生物学改变。

The promise of multi-omics approaches to discover biological alterations with clinical relevance in Alzheimer's disease.

作者信息

Clark Christopher, Rabl Miriam, Dayon Loïc, Popp Julius

机构信息

Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zürich, Zürich, Switzerland.

Geriatric Psychiatry, University Hospital of Psychiatry Zürich, Zürich, Switzerland.

出版信息

Front Aging Neurosci. 2022 Dec 7;14:1065904. doi: 10.3389/fnagi.2022.1065904. eCollection 2022.

Abstract

Beyond the core features of Alzheimer's disease (AD) pathology, i.e. amyloid pathology, tau-related neurodegeneration and microglia response, multiple other molecular alterations and pathway dysregulations have been observed in AD. Their inter-individual variations, complex interactions and relevance for clinical manifestation and disease progression remain poorly understood, however. Heterogeneity at both pathophysiological and clinical levels complicates diagnosis, prognosis, treatment and drug design and testing. High-throughput "omics" comprise unbiased and untargeted data-driven methods which allow the exploration of a wide spectrum of disease-related changes at different endophenotype levels without focussing on specific molecular pathways or molecules. Crucially, new methodological and statistical advances now allow for the integrative analysis of data resulting from multiple and different omics methods. These multi-omics approaches offer the unique advantage of providing a more comprehensive characterisation of the AD endophenotype and to capture molecular signatures and interactions spanning various biological levels. These new insights can then help decipher disease mechanisms more deeply. In this review, we describe the different multi-omics tools and approaches currently available and how they have been applied in AD research so far. We discuss how multi-omics can be used to explore molecular alterations related to core features of the AD pathologies and how they interact with comorbid pathological alterations. We further discuss whether the identified pathophysiological changes are relevant for the clinical manifestation of AD, in terms of both cognitive impairment and neuropsychiatric symptoms, and for clinical disease progression over time. Finally, we address the opportunities for multi-omics approaches to help discover novel biomarkers for diagnosis and monitoring of relevant pathophysiological processes, along with personalised intervention strategies in AD.

摘要

除了阿尔茨海默病(AD)病理学的核心特征,即淀粉样蛋白病理学、tau相关神经变性和小胶质细胞反应外,在AD中还观察到了多种其他分子改变和信号通路失调。然而,它们的个体间差异、复杂相互作用以及与临床表现和疾病进展的相关性仍知之甚少。病理生理和临床水平的异质性使诊断、预后、治疗以及药物设计和测试变得复杂。高通量“组学”包括无偏且非靶向的数据驱动方法,可在不聚焦于特定分子途径或分子的情况下,探索不同内表型水平上广泛的疾病相关变化。至关重要的是,新的方法学和统计学进展现在允许对来自多种不同组学方法的数据进行综合分析。这些多组学方法具有独特优势,能够更全面地表征AD内表型,并捕捉跨越各种生物学水平的分子特征和相互作用。这些新见解有助于更深入地解读疾病机制。在本综述中,我们描述了目前可用的不同多组学工具和方法,以及它们到目前为止在AD研究中的应用方式。我们讨论了多组学如何用于探索与AD病理学核心特征相关的分子改变,以及它们如何与共病病理改变相互作用。我们还进一步讨论了所确定的病理生理变化在认知障碍和神经精神症状方面是否与AD的临床表现相关,以及是否与临床疾病随时间的进展相关。最后,我们阐述了多组学方法在帮助发现用于诊断和监测相关病理生理过程的新型生物标志物以及AD个性化干预策略方面的机遇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/804e/9768448/1e5a545989c4/fnagi-14-1065904-g001.jpg

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