| Chapter title |
Which is the Most Reasonable Anti-aging Strategy: Meta-analysis
|
|---|---|
| Chapter number | 17 |
| Book title |
Aging and Aging-Related Diseases
|
| Published in |
Advances in experimental medicine and biology, January 2018
|
| DOI | 10.1007/978-981-13-1117-8_17 |
| Pubmed ID | |
| Book ISBNs |
978-9-81-131116-1, 978-9-81-131117-8
|
| Authors |
Yaru Liang, Zhao Wang, Liang, Yaru, Wang, Zhao |
| Abstract |
An organism's lifespan is inevitably accompanied by the aging process, which involves functional decline, a steady increase of a plethora of chronic diseases, and ultimately death. Thus, it has been an ongoing dream of mankind to improve health span and extend the lifespan. In the last century, there is a great increase in the search for eternal youth and an insatiable appetite for methods which could turn back the clock. Survival curves are key components of lifespan experiments. Many interventions have been reported to extend the lifespan, including the administration of pharmaceuticals, calorie restriction, and genetic alteration. However, few studies have attempted to provide a comprehensive analysis of the mechanism by which these various methods function to extend lifespan. We recently collected survival curves from published papers and recovered data by fitting models. The analysis results highlight the overall advantage of calorie restriction and its mimetics in aging and demonstrate that hypoglycemic agents and antioxidants have a superior effect on lifespan extension via a pattern of global integrity compared to other medications. This review provides a scientific foundation for the discovery of effective anti-aging agents and the formulation of scientific anti-aging strategies. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 15% |
| Student > Master | 4 | 10% |
| Researcher | 3 | 8% |
| Other | 2 | 5% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 22 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 10% |
| Nursing and Health Professions | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Linguistics | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 25 | 63% |