| Title |
Model of human aging: Recent findings on Werner’s and Hutchinson-Gilford progeria syndromes
|
|---|---|
| Published in |
Clinical Interventions in Aging, September 2008
|
| DOI | 10.2147/cia.s1957 |
| Pubmed ID | |
| Authors |
Shian-ling Ding, Chen-Yang Shen |
| Abstract |
The molecular mechanisms involved in human aging are complicated. Two progeria syndromes, Werner's syndrome (WS) and Hutchinson-Gilford progeria syndrome (HGPS), characterized by clinical features mimicking physiological aging at an early age, provide insights into the mechanisms of natural aging. Based on recent findings on WS and HGPS, we suggest a model of human aging. Human aging can be triggered by two main mechanisms, telomere shortening and DNA damage. In telomere-dependent aging, telomere shortening and dysfunction may lead to DNA damage responses which induce cellular senescence. In DNA damage-initiated aging, DNA damage accumulates, along with DNA repair deficiencies, resulting in genomic instability and accelerated cellular senescence. In addition, aging due to both mechanisms (DNA damage and telomere shortening) is strongly dependent on p53 status. These two mechanisms can also act cooperatively to increase the overall level ofgenomic instability, triggering the onset of human aging phenotypes. |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| Germany | 2 | 2% |
| India | 2 | 2% |
| Portugal | 1 | <1% |
| Finland | 1 | <1% |
| Japan | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 101 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 25 | 22% |
| Researcher | 23 | 20% |
| Student > Ph. D. Student | 15 | 13% |
| Student > Postgraduate | 11 | 10% |
| Student > Master | 8 | 7% |
| Other | 20 | 18% |
| Unknown | 12 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 37% |
| Biochemistry, Genetics and Molecular Biology | 25 | 22% |
| Medicine and Dentistry | 15 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Chemistry | 3 | 3% |
| Other | 9 | 8% |
| Unknown | 17 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 30 June 2023.
All research outputs
#4,239,936
of 25,374,917 outputs
Outputs from Clinical Interventions in Aging
#445
of 1,968 outputs
Outputs of similar age
#15,467
of 95,712 outputs
Outputs of similar age from Clinical Interventions in Aging
#3
of 13 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 95,712 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.