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The inherent challenges of classifying senescence.

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Abstract

In the Policy Forum “To help aging populations, classify organismal senescence” (1 November 2019, p. [576][1]), S. R. G. Calimport et al. call for classification of senescence as a disease and propose a classification methodology. Unfortunately, their call to action comes a year after the publication of the 11th International Classification of Diseases (ICD) ([ 1 ][2]). The next revision of the ICD is expected in 2028 or later, and much progress needs to be made in basic research and clinical trials before including senescence would be possible. Calimport et al. 's assertion that aging-related diseases can be classified using current information overestimates our understanding of senescence. Multiple studies suggest that aging starts in utero ([ 2 ][3]) and staging of most senescence processes will require massive longitudinal studies in humans and animals. Furthermore, the first clinical trials targeting aging, such as Targeting Aging with Metformin (TAME), are under discussion, and no aging biomarker consensus or hierarchical structuring has yet emerged ([ 3 ][4], [ 4 ][5]). Staging senescence at the tissue-specific level for the purposes of preventative intervention may be a model for private or national health care plans and systems; however, these plans do not require these processes to be classified in the ICD with the individual codes. In addition to providing a general disease framework, ICD codes are used internationally to standardize burden of disease reports and assess cause of death. The concept of staging senescence does not fit the current ICD framework. The addition would likely require a new international initiative to develop a comprehensive set of biomarkers and interventions for senescence and longevity, as well as a set of recommendations for reducing the burden of senescence and aging-associated diseases. Pharmaceutical companies are already working on the interventions targeting the common biological pathways implicated in aging to deliver therapeutics against age-related diseases within the traditional health care paradigm. To accelerate drug development efforts focused on aging as a disease in the pharmaceutical industry, we need to demonstrate that basic research into whether aging is a biological process disease can yield valuable targets or interventions that demonstrate efficacy in treating or preventing age-related diseases. 1. [↵][6]1. A. Zhavoronkov, 2. B. Bhullar , Front. Genet. 6, 326 (2015). [OpenUrl][7] 2. [↵][8]1. B. J. Allison et al ., FASEB 30, 5 (2016). [OpenUrl][9] 3. [↵][10]1. J. N. Justice et al ., Cardiovasc. Endocrinol. Metab. 7, 80 (2018). [OpenUrl][11] 4. [↵][12]American Federation for Aging Research, “TAME trial” (2020); [www.afar.org/research/TAME/][13]. A.Z. is the founder and CEO of Insilico Medicine, a Hong Kong-based artificial intelligence company focused on drug discovery and aging research. He is also an adviser to Haut. AI Ltd., an Estonia-based artificial intelligence company focused on artificial intelligence for skin care and aging research. He is a director and co-founder of Deep Longevity, Inc., an artificial intelligence company focused on aging biomarkers. He is an adviser to the All Party Parliamentary Group (APPG) for Longevity in the UK. He is the seed investor in Retrotope, Inc., a California-based drug discovery company focused on age-related diseases. He may be associated with other startup companies in aging research as an adviser or through investments in Longenesis. [1]: http://www.sciencemag.org/content/366/6465/576 [2]: #ref-1 [3]: #ref-2 [4]: #ref-3 [5]: #ref-4 [6]: #xref-ref-1-1 View reference 1 in text [7]: {openurl}?query=rft.jtitle%253DFront.%2BGenet.%26rft.volume%253D6%26rft.spage%253D326%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [8]: #xref-ref-2-1 View reference 2 in text [9]: {openurl}?query=rft.jtitle%253DFASEB%26rft.volume%253D30%26rft.spage%253D5%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [10]: #xref-ref-3-1 View reference 3 in text [11]: {openurl}?query=rft.jtitle%253DCardiovasc.%2BEndocrinol.%2BMetab.%26rft.volume%253D7%26rft.spage%253D80%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [12]: #xref-ref-4-1 View reference 4 in text [13]: http://www.afar.org/research/TAME/

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