Format

Send to

Choose Destination
Mech Ageing Dev. 2020 Jan;185:111192. doi: 10.1016/j.mad.2019.111192. Epub 2019 Nov 28.

Multi-omics approaches to human biological age estimation.

Author information

1
Institute of Biology of Komi Science Center of Ural Branch of Russian Academy of Sciences, Syktyvkar, Russia; Syktyvkar State University, Syktyvkar, Russia.
2
Institute of Biology of Komi Science Center of Ural Branch of Russian Academy of Sciences, Syktyvkar, Russia.
3
Institute of Biology of Komi Science Center of Ural Branch of Russian Academy of Sciences, Syktyvkar, Russia; Syktyvkar State University, Syktyvkar, Russia; Moscow Institute of Physics and Technology, Dolgoprudny, Russia; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia. Electronic address: amoskalev@list.ru.

Abstract

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.

KEYWORDS:

Aging; Aging biomarkers; Biological age; Multi-omics approach

PMID:
31786174
DOI:
10.1016/j.mad.2019.111192

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center