Research Paper Volume 9, Issue 4 pp 1202—1218
Progressive changes in non-coding RNA profile in leucocytes with age
- 1 Multiple Sclerosis Group, Biodonostia Health Research institute, San Sebastian, Spain
- 2 Neuroscience Area, Biodonostia Health Research institute, San Sebastian, Spain
- 3 REEM, Red Española de Esclerosis Múltiple, Spanish Network on Multiple Sclerosis, 08028 Barcelona, Spain
- 4 Institute for Genomics and Multiscale Biology, Department of Genetics and Genomics Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- 5 Parkinson Group, Biodonostia Health Research Institute, San Sebastian, Spain
- 6 Genomic Platform, Biodonostia Health Research Institute, San Sebastian, Spain
- 7 Neurology Department, Universitary Hospital Donostia, San Sebastian, Spain
- 8 University of the Basque Country (UPV-EHU), Department of Neuroscience, San Sebastian, Spain
- 9 IBERNED, Center for Biomedical Research in Network on Neurodegenerative Diseases, 28049 Madrid, Spain
Received: September 21, 2016 Accepted: April 2, 2017 Published: April 27, 2017
https://doi.org/10.18632/aging.101220How to Cite
Abstract
It has been observed that immune cell deterioration occurs in the elderly, as well as a chronic low-grade inflammation called inflammaging. These cellular changes must be driven by numerous changes in gene expression and in fact, both protein-coding and non-coding RNA expression alterations have been observed in peripheral blood mononuclear cells from elder people. In the present work we have studied the expression of small non-coding RNA (microRNA and small nucleolar RNA -snoRNA-) from healthy individuals from 24 to 79 years old. We have observed that the expression of 69 non-coding RNAs (56 microRNAs and 13 snoRNAs) changes progressively with chronological age. According to our results, the age range from 47 to 54 is critical given that it is the period when the expression trend (increasing or decreasing) of age-related small non-coding RNAs is more pronounced. Furthermore, age-related miRNAs regulate genes that are involved in immune, cell cycle and cancer-related processes, which had already been associated to human aging. Therefore, human aging could be studied as a result of progressive molecular changes, and different age ranges should be analysed to cover the whole aging process.