Plasma proteomic biomarker signature of age predicts health and life span
| العنوان: | Plasma proteomic biomarker signature of age predicts health and life span |
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| المؤلفون: | Stefania Bandinelli, Julián Candia, Birgit Schilling, Nathan Basisty, Luigi Ferrucci, Angelique Biancotto, Giovanna Fantoni, Toshiko Tanaka, Ann Zenobia Moore |
| المصدر: | eLife eLife, Vol 9 (2020) |
| بيانات النشر: | eLife Sciences Publications, Ltd, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Adult, Male, Proteomics, 0301 basic medicine, Aging, medicine.medical_specialty, QH301-705.5, Science, Inflammation, healthspan, Disease, Bioinformatics, General Biochemistry, Genetics and Molecular Biology, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Epidemiology, medicine, Humans, Biology (General), Risk factor, Aged, Aged, 80 and over, General Immunology and Microbiology, business.industry, General Neuroscience, Blood Proteins, General Medicine, Middle Aged, Blood proteins, Epidemiology and Global Health, 030104 developmental biology, Secretory protein, Medicine, biomarker, Biomarker (medicine), Female, medicine.symptom, business, Biomarkers, 030217 neurology & neurosurgery, Research Article, Computational and Systems Biology, Human |
| الوصف: | Older age is a strong shared risk factor for many chronic diseases, and there is increasing interest in identifying aging biomarkers. Here, a proteomic analysis of 1301 plasma proteins was conducted in 997 individuals between 21 and 102 years of age. We identified 651 proteins associated with age (506 over-represented, 145 underrepresented with age). Mediation analysis suggested a role for partialcis-epigenetic control of protein expression with age. Of the age-associated proteins, 33.5% and 45.3%, were associated with mortality and multimorbidity, respectively. There was enrichment of proteins associated with inflammation and extracellular matrix as well as senescence-associated secretory proteins. A 76-protein proteomic age signature predicted accumulation of chronic diseases and all-cause mortality. These data support the use of proteomic biomarkers to monitor aging trajectories and to identify individuals at higher risk of disease to be targeted for in depth diagnostic procedures and early interventions. |
| تدمد: | 2050-084X |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e694d300976a96e51a5b8fec74ad3abfTest https://doi.org/10.7554/elife.61073Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....e694d300976a96e51a5b8fec74ad3abf |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 2050084X |
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