| Title |
Physiological links of circadian clock and biological clock of aging
|
|---|---|
| Published in |
Protein & Cell, January 2017
|
| DOI | 10.1007/s13238-016-0366-2 |
| Pubmed ID | |
| Authors |
Fang Liu, Hung-Chun Chang |
| Abstract |
Circadian rhythms orchestrate biochemical and physiological processes in living organisms to respond the day/night cycle. In mammals, nearly all cells hold self-sustained circadian clocks meanwhile couple the intrinsic rhythms to systemic changes in a hierarchical manner. The suprachiasmatic nucleus (SCN) of the hypothalamus functions as the master pacemaker to initiate daily synchronization according to the photoperiod, in turn determines the phase of peripheral cellular clocks through a variety of signaling relays, including endocrine rhythms and metabolic cycles. With aging, circadian desynchrony occurs at the expense of peripheral metabolic pathologies and central neurodegenerative disorders with sleep symptoms, and genetic ablation of circadian genes in model organisms resembled the aging-related features. Notably, a number of studies have linked longevity nutrient sensing pathways in modulating circadian clocks. Therapeutic strategies that bridge the nutrient sensing pathways and circadian clock might be rational designs to defy aging. |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 101 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 15% |
| Student > Master | 14 | 14% |
| Student > Bachelor | 13 | 13% |
| Researcher | 11 | 11% |
| Student > Doctoral Student | 9 | 9% |
| Other | 16 | 16% |
| Unknown | 25 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 17% |
| Agricultural and Biological Sciences | 17 | 17% |
| Neuroscience | 16 | 16% |
| Medicine and Dentistry | 9 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 31 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 October 2018.
All research outputs
#14,917,504
of 22,950,943 outputs
Outputs from Protein & Cell
#454
of 741 outputs
Outputs of similar age
#240,821
of 417,429 outputs
Outputs of similar age from Protein & Cell
#14
of 20 outputs
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