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Life spanning murine gene expression profiles in relation to chronological and pathological aging in multiple organs
Authors:Martijs J Jonker  Joost P M Melis  Raoul V Kuiper  Tessa V van der Hoeven  Paul F K Wackers  Joke Robinson  Gijsbertus T J van der Horst  Martijn E T Dollé  Jan Vijg  Timo M Breit  Jan H J Hoeijmakers  Harry van Steeg
Institution:1. MicroArray Department & Integrative Bioinformatics Unit (MAD‐IBU), Swammerdam Institute for Life Sciences (SILS), Faculty of Science (FNWI), University of Amsterdam (UvA), , Amsterdam, The Netherlands;2. Netherlands Bioinformatics Centre (NBIC), , Nijmegen, The Netherlands;3. National Institute for Public Health and the Environment (RIVM), Center for Health Protection, , Bilthoven, The Netherlands;4. Department of Toxicogenetics, Leiden University Medical Center, , Leiden, The Netherlands;5. Dutch Molecular Pathology Center, Department of Pathobiology, Faculty of Veterinary Medicine, Utrecht University, , Utrecht, The Netherlands;6. CGC Department of Genetics, Erasmus University Medical Center, , Rotterdam, The Netherlands;7. Department of Genetics, Albert Einstein College of Medicine, , New York, NY, USA
Abstract:Aging and age‐related pathology is a result of a still incompletely understood intricate web of molecular and cellular processes. We present a C57BL/6J female mice in vivo aging study of five organs (liver, kidney, spleen, lung, and brain), in which we compare genome‐wide gene expression profiles during chronological aging with pathological changes throughout the entire murine life span (13, 26, 52, 78, 104, and 130 weeks). Relating gene expression changes to chronological aging revealed many differentially expressed genes (DEGs), and altered gene sets (AGSs) were found in most organs, indicative of intraorgan generic aging processes. However, only ≤ 1% of these DEGs are found in all organs. For each organ, at least one of 18 tested pathological parameters showed a good age‐predictive value, albeit with much inter‐ and intraindividual (organ) variation. Relating gene expression changes to pathology‐related aging revealed correlated genes and gene sets, which made it possible to characterize the difference between biological and chronological aging. In liver, kidney, and brain, a limited number of overlapping pathology‐related AGSs were found. Immune responses appeared to be common, yet the changes were specific in most organs. Furthermore, changes were observed in energy homeostasis, reactive oxygen species, cell cycle, cell motility, and DNA damage. Comparison of chronological and pathology‐related AGSs revealed substantial overlap and interesting differences. For example, the presence of immune processes in liver pathology‐related AGSs that were not detected in chronological aging. The many cellular processes that are only found employing aging‐related pathology could provide important new insights into the progress of aging.
Keywords:aging dynamics  database  gene expression     in vivo     pathology
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