| Title |
The epigenetic landscape of age-related diseases: the geroscience perspective
|
|---|---|
| Published in |
Biogerontology, March 2017
|
| DOI | 10.1007/s10522-017-9695-7 |
| Pubmed ID | |
| Authors |
Noémie Gensous, Maria Giulia Bacalini, Chiara Pirazzini, Elena Marasco, Cristina Giuliani, Francesco Ravaioli, Giacomo Mengozzi, Claudia Bertarelli, Maria Giustina Palmas, Claudio Franceschi, Paolo Garagnani |
| Abstract |
In this review, we summarize current knowledge regarding the epigenetics of age-related diseases, focusing on those studies that have described DNA methylation landscape in cardio-vascular diseases, musculoskeletal function and frailty. We stress the importance of adopting the conceptual framework of "geroscience", which starts from the observation that advanced age is the major risk factor for several of these pathologies and aims at identifying the mechanistic links between aging and age-related diseases. DNA methylation undergoes a profound remodeling during aging, which includes global hypomethylation of the genome, hypermethylation at specific loci and an increase in inter-individual variation and in stochastic changes of DNA methylation values. These epigenetic modifications can be an important contributor to the development of age-related diseases, but our understanding on the complex relationship between the epigenetic signatures of aging and age-related disease is still poor. The most relevant results in this field come from the use of the so called "epigenetics clocks" in cohorts of subjects affected by age-related diseases. We report these studies in final section of this review. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 22% |
| Italy | 2 | 22% |
| Canada | 1 | 11% |
| France | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 2 | 22% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 23% |
| Student > Master | 13 | 14% |
| Student > Bachelor | 8 | 8% |
| Student > Ph. D. Student | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 18 | 19% |
| Unknown | 22 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 20% |
| Medicine and Dentistry | 14 | 15% |
| Agricultural and Biological Sciences | 9 | 9% |
| Nursing and Health Professions | 7 | 7% |
| Engineering | 3 | 3% |
| Other | 12 | 13% |
| Unknown | 32 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 May 2017.
All research outputs
#5,487,601
of 22,962,258 outputs
Outputs from Biogerontology
#203
of 657 outputs
Outputs of similar age
#87,574
of 308,511 outputs
Outputs of similar age from Biogerontology
#8
of 22 outputs
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