当前位置: X-MOL 学术Mech. Ageing Dev. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Multi-omics approaches to human biological age estimation.
Mechanisms of Ageing and Development ( IF 5.3 ) Pub Date : 2019-11-28 , DOI: 10.1016/j.mad.2019.111192
Ilya Solovev 1 , Mikhail Shaposhnikov 2 , Alexey Moskalev 3
Affiliation  

Multi-omics approach nowadays increasingly applied to molecular research in many fields of life sciences. Biogerontology is not an exception; multi-omics gives possibility to evaluate complex biomarkers (or panels) which consist of quantitative as well as phenotypic ones. It is especially important because of weak understanding of the nature of aging. The difficulty now is distinguishing between causes and effects of aging. The application of the whole set of metabolome, methylome, transcriptome, proteome or metagenome data in aging biomarker design becomes the only way to create a holistic view of aging landscape without missing undiscovered mechanisms and levels of organization. We found patents, up-to-date multi-omics datasets and studies, which include bioinformatics innovations to predict biological age in humans. We hope that the review will be also useful for clinicians, because it follows majorly translational purposes.

中文翻译:

用于人类生物年龄估计的多组学方法。

如今,多组学方法越来越多地应用于生命科学许多领域中的分子研究。生物老年医学也不例外。多组学提供了评估包括定量和表型的复杂生物标志物(或组)的可能性。由于对衰老的性质了解不足,这一点尤其重要。现在的困难是区分衰老的原因和影响。整套代谢组,甲基化组,转录组,蛋白质组或元基因组数据在衰老生物标志物设计中的应用成为在不遗漏未被发现的机制和组织水平的情况下创建衰老景观整体视图的唯一方法。我们发现了专利,最新的多组学数据集和研究,其中包括可预测人类生物年龄的生物信息学创新。
更新日期:2019-11-28
down
wechat
bug