An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging
| Autor: | Vladimir Jojic, Ayelet Alpert, Cornelia L. Dekker, Daniela Monti, Yingxiang Huang, Tatiana Kuznetsova, Shai S. Shen-Orr, Lu Cui, Francois Haddad, Rita Ostan, Zuzana Krejciova-Rajaniemi, Benoit Lehallier, Tianxiang Gao, Joseph C. Wu, Nazish Sayed, Trevor Hastie, Anissa P. Grawe, Holden T. Maecker, Tony Wyss-Coray, Robert Tibshirani, Khiem Van Nguyen, Jose G. Montoya, Yael Rosenberg-Hasson, Mark M. Davis, David Furman, Claudio Franceschi |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Senescence
Aging Chemokine biology business.industry media_common.quotation_subject Neuroscience (miscellaneous) Longevity Inflammation Immunosenescence medicine.disease Article Immunology medicine Arterial stiffness biology.protein CXCL9 Geriatrics and Gerontology medicine.symptom business Loss function media_common |
| Zdroj: | Nat Aging |
| Popis: | While many diseases of aging have been linked to the immunological system, immune metrics capable of identifying the most at-risk individuals are lacking. From the blood immunome of 1,001 individuals aged 8–96 years, we developed a deep-learning method based on patterns of systemic age-related inflammation. The resulting inflammatory clock of aging (iAge) tracked with multimorbidity, immunosenescence, frailty and cardiovascular aging, and is also associated with exceptional longevity in centenarians. The strongest contributor to iAge was the chemokine CXCL9, which was involved in cardiac aging, adverse cardiac remodeling and poor vascular function. Furthermore, aging endothelial cells in human and mice show loss of function, cellular senescence and hallmark phenotypes of arterial stiffness, all of which are reversed by silencing CXCL9. In conclusion, we identify a key role of CXCL9 in age-related chronic inflammation and derive a metric for multimorbidity that can be utilized for the early detection of age-related clinical phenotypes. From the blood immunome of 1,001 individuals aged 8–96 years, the authors used deep learning to develop an inflammatory clock of aging (iAge) that tracks with multimorbidity, immunosenescence, frailty and cardiovascular aging, and is also associated with exceptional longevity in centenarians. The main contributor to iAge is the chemokine CXCL9, which is shown to control endothelial cell senescence and function. |
| Databáze: | OpenAIRE |
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