Age prediction from human blood plasma using proteomic and small RNA data: a comparative analysis

Author:

Salignon Jérôme12,Faridani Omid R.134,Miliotis Tasso5,Janssens Georges E.1,Chen Ping1,Zarrouki Bader6,Sandberg Rickard17,Davidsson Pia5,Riedel Christian G.12

Affiliation:

1. Department of Medicine, Integrated Cardio Metabolic Centre (ICMC), Karolinska Institutet, Huddinge 14157, Sweden

2. Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge 14157, Sweden

3. Lowy Cancer Research Centre, School of Medical Sciences, University of New South Wales, Sydney, Australia

4. Garvan Institute of Medical Research, Sydney, Australia

5. Translational Science and Experimental Medicine, Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden

6. Bioscience Metabolism, Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden

7. Department of Cellular and Molecular Biology, Ludwig Institute for Cancer Research, Karolinska Institutet, Solna 17165, Sweden

Publisher

Impact Journals, LLC

Subject

Cell Biology,Aging

Reference90 articles.

1. Fertility Rate.;Roser;Our World in Data,2014

2. Life Expectancy.;Ritchie;Our World in Data,2013

3. The hallmarks of aging.;Kroemer;Cell,2013

4. Quantification of biological aging in young adults.;Yashin;Proc Natl Acad Sci U S A,2015

5. Lifestyle and nutrition, caloric restriction, mitochondrial health and hormones: scientific interventions for anti-aging.;Anton;Clin Interv Aging,2007

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