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Hacking the aging code: Big data for saving human lives

11.26.18 | Moscow Institute of Physics and Technology

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Aging is the most important single factor behind chronic diseases and death. As «silver tsunami» approaches, healthcare, and social protection systems face the looming crisis. By 2050, the global population of older persons is projected to more than double its size in 2015. The new article published in Frontiers in Genetics by MIPT scientist Dr. P. Fedichev describes a strategy for the systematic development of novel anti-aging therapeutics and biomarkers of aging using the data from medical studies and large biobanks.

The mortality rate in humans increases exponentially with age and doubles approximately every eight years. The incidence of specific diseases, such as cancer or stroke, also accelerates after the age of 40 at about the same rate. Physical decline is usually seen as a natural consequence of aging. However, no fundamental law of nature makes it inevitable. In some species, death risks increase very slowly, stay constant for extended periods, or even decline with age. Some mammals, such as naked mole rats or the growing number of bat species, apparently lack mortality acceleration. This means that the mortality rate should be, in principle, a subject to manipulation.

The paper explains how the concept of criticality borrowed from physics of dynamic systems and widely used to model complex phenomena such as financial markets behavior or weather conditions could be applied to aging studies and result in generating predicting models of biological age, aging rate and even potential targets for future anti-aging therapies. Successful applications of this approach by Dr. Fedichev's research team include the biomarker of aging and frailty based on data from wearables and smartphones and identification of experimental drugs extending lifespan in model organisms based on the transcriptomic signatures of longevity.

"The much anticipated 11th Revision of the International Classification of Diseases (ICD-11) introduced some aging-related conditions such as age-associated cognitive decline. This should facilitate new clinical trials and market authorization of therapies aimed at functional declines associated with aging. Among the most promising targets for the first anti-aging therapies are blood circulating molecules, since experiments with young plasma transfusion support its vital role in aging", explains Dr. Peter Fedichev, the author of the article and founder of Gero LLC, a longevity biotech company working on healthspan extension.

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Frontiers in Genetics

10.3389/fgene.2018.00483

Keywords

Article Information

Contact Information

Anastasiia Makarova
utyanskaya.am@phystech.edu

How to Cite This Article

APA:
Moscow Institute of Physics and Technology. (2018, November 26). Hacking the aging code: Big data for saving human lives. Brightsurf News. https://www.brightsurf.com/news/80V9WYYL/hacking-the-aging-code-big-data-for-saving-human-lives.html
MLA:
"Hacking the aging code: Big data for saving human lives." Brightsurf News, Nov. 26 2018, https://www.brightsurf.com/news/80V9WYYL/hacking-the-aging-code-big-data-for-saving-human-lives.html.