The ROSMAP project: aging and neurodegenerative diseases through omic sciences.

IF 2.5 4区医学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Frontiers in Neuroinformatics Pub Date : 2024-09-16 eCollection Date: 2024-01-01 DOI:10.3389/fninf.2024.1443865

Alejandra P Pérez-González, Aidee Lashmi García-Kroepfly, Keila Adonai Pérez-Fuentes, Roberto Isaac García-Reyes, Fryda Fernanda Solis-Roldan, Jennifer Alejandra Alba-González, Enrique Hernández-Lemus, Guillermo de Anda-Jáuregui

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Abstract

The Religious Order Study and Memory and Aging Project (ROSMAP) is an initiative that integrates two longitudinal cohort studies, which have been collecting clinicopathological and molecular data since the early 1990s. This extensive dataset includes a wide array of omic data, revealing the complex interactions between molecular levels in neurodegenerative diseases (ND) and aging. Neurodegenerative diseases (ND) are frequently associated with morbidity and cognitive decline in older adults. Omics research, in conjunction with clinical variables, is crucial for advancing our understanding of the diagnosis and treatment of neurodegenerative diseases. This summary reviews the extensive omics research-encompassing genomics, transcriptomics, proteomics, metabolomics, epigenomics, and multiomics-conducted through the ROSMAP study. It highlights the significant advancements in understanding the mechanisms underlying neurodegenerative diseases, with a particular focus on Alzheimer's disease.

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ROSMAP 项目：通过奥米克科学防治衰老和神经退行性疾病。

宗教团契研究和记忆与衰老项目（ROSMAP）是一项整合了两项纵向队列研究的计划，自 20 世纪 90 年代初以来，这两项研究一直在收集临床病理学和分子数据。这一广泛的数据集包括大量的 omic 数据，揭示了神经退行性疾病（ND）和衰老中分子水平之间复杂的相互作用。神经退行性疾病（ND）经常与老年人的发病率和认知能力下降有关。全局组学研究与临床变量相结合，对于加深我们对神经退行性疾病诊断和治疗的理解至关重要。本摘要回顾了通过 ROSMAP 研究开展的广泛的全局组学研究，包括基因组学、转录物组学、蛋白质组学、代谢组学、表观基因组学和多组学。报告重点介绍了在了解神经退行性疾病的发病机制方面取得的重大进展，尤其关注阿尔茨海默病。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Neuroinformatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES

CiteScore

4.80

自引率

5.70%

发文量

132

审稿时长

14 weeks

期刊介绍： Frontiers in Neuroinformatics publishes rigorously peer-reviewed research on the development and implementation of numerical/computational models and analytical tools used to share, integrate and analyze experimental data and advance theories of the nervous system functions. Specialty Chief Editors Jan G. Bjaalie at the University of Oslo and Sean L. Hill at the École Polytechnique Fédérale de Lausanne are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neuroscience is being propelled into the information age as the volume of information explodes, demanding organization and synthesis. Novel synthesis approaches are opening up a new dimension for the exploration of the components of brain elements and systems and the vast number of variables that underlie their functions. Neural data is highly heterogeneous with complex inter-relations across multiple levels, driving the need for innovative organizing and synthesizing approaches from genes to cognition, and covering a range of species and disease states. Frontiers in Neuroinformatics therefore welcomes submissions on existing neuroscience databases, development of data and knowledge bases for all levels of neuroscience, applications and technologies that can facilitate data sharing (interoperability, formats, terminologies, and ontologies), and novel tools for data acquisition, analyses, visualization, and dissemination of nervous system data. Our journal welcomes submissions on new tools (software and hardware) that support brain modeling, and the merging of neuroscience databases with brain models used for simulation and visualization.