Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2024 Dec 21;25(24):13671.
doi: 10.3390/ijms252413671.

Multiomics of Aging and Aging-Related Diseases

Olga I Kiseleva  1 , Viktoriia A Arzumanian  1 , Yuriy A Ikhalaynen  1   2 , Ilya Y Kurbatov  1 , Polina A Kryukova  1 , Ekaterina V Poverennaya  1
Affiliations
Review

Multiomics of Aging and Aging-Related Diseases

Olga I Kiseleva et al. Int J Mol Sci. .

Abstract

Despite their astonishing biological diversity, surprisingly few shared traits connect all or nearly all living organisms. Aging, i.e., the progressive and irreversible decline in the function of multiple cells and tissues, is one of these fundamental features of all organisms, ranging from single-cell creatures to complex animals, alongside variability, adaptation, growth, healing, reproducibility, mobility, and, finally, death. Age is a key determinant for many pathologies, shaping the risks of incidence, severity, and treatment outcomes for cancer, neurodegeneration, heart failure, sarcopenia, atherosclerosis, osteoporosis, and many other diseases. In this review, we aim to systematically investigate the age-related features of the development of several diseases through the lens of multiomics: from genome instability and somatic mutations to pathway alterations and dysregulated metabolism.

Keywords: aging; aging-related diseases; multiomics.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Cross-section of major “hallmarks” regarding cancer vs. aging.
Figure 2
Figure 2
The distribution of PubMed articles related to omics studies across various disease categories. Each color represents a different category: blue—aging, orange—CVD, green—neurodegenerative diseases, red—bone-related diseases, and purple—cancer.
See this image and copyright information in PMC

References

    1. Kontis V., Bennett J.E., Mathers C.D., Li G., Foreman K., Ezzati M. Future Life Expectancy in 35 Industrialised Countries: Projections with a Bayesian Model Ensemble. Lancet Lond. Engl. 2017;389:1323. doi: 10.1016/S0140-6736(16)32381-9. - DOI - PMC - PubMed
    1. Kyu H.H., Abate D., Abate K.H., Abay S.M., Abbafati C., Abbasi N., Abbastabar H., Abd-Allah F., Abdela J., Abdelalim A., et al. Global, Regional, and National Disability-Adjusted Life-Years (DALYs) for 359 Diseases and Injuries and Healthy Life Expectancy (HALE) for 195 Countries and Territories, 1990–2017: A Systematic Analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1859–1922. doi: 10.1016/S0140-6736(18)32335-3. - DOI - PMC - PubMed
    1. Jin K., Simpkins J.W., Ji X., Leis M., Stambler I. The Critical Need to Promote Research of Aging and Aging-Related Diseases to Improve Health and Longevity of the Elderly Population. Aging Dis. 2014;6:1. doi: 10.14336/ad.2014.1210. - DOI - PMC - PubMed
    1. Gadó K., Szabo A., Markovics D., Virág A. Most Common Cardiovascular Diseases of the Elderly—A Review Article. Dev. Health Sci. 2022;4:27–32. doi: 10.1556/2066.2021.00048. - DOI
    1. Jiang S., Yu T., Di D., Wang Y., Li W. Worldwide Burden and Trends of Diabetes among People Aged 70 Years and Older, 1990–2019: A Systematic Analysis for the Global Burden of Disease Study 2019. Diabetes Metab. Res. Rev. 2024;40:e3745. doi: 10.1002/dmrr.3745. - DOI - PubMed

LinkOut - more resources