| Title |
Vitamin C alleviates aging defects in a stem cell model for Werner syndrome
|
|---|---|
| Published in |
Protein & Cell, June 2016
|
| DOI | 10.1007/s13238-016-0278-1 |
| Pubmed ID | |
| Authors |
Ying Li, Weizhou Zhang, Liang Chang, Yan Han, Liang Sun, Xiaojun Gong, Hong Tang, Zunpeng Liu, Huichao Deng, Yanxia Ye, Yu Wang, Jian Li, Jie Qiao, Jing Qu, Weiqi Zhang, Guang-Hui Liu |
| Abstract |
Werner syndrome (WS) is a premature aging disorder that mainly affects tissues derived from mesoderm. We have recently developed a novel human WS model using WRN-deficient human mesenchymal stem cells (MSCs). This model recapitulates many phenotypic features of WS. Based on a screen of a number of chemicals, here we found that Vitamin C exerts most efficient rescue for many features in premature aging as shown in WRN-deficient MSCs, including cell growth arrest, increased reactive oxygen species levels, telomere attrition, excessive secretion of inflammatory factors, as well as disorganization of nuclear lamina and heterochromatin. Moreover, Vitamin C restores in vivo viability of MSCs in a mouse model. RNA sequencing analysis indicates that Vitamin C alters the expression of a series of genes involved in chromatin condensation, cell cycle regulation, DNA replication, and DNA damage repair pathways in WRN-deficient MSCs. Our results identify Vitamin C as a rejuvenating factor for WS MSCs, which holds the potential of being applied as a novel type of treatment of WS. |
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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 20% |
| Student > Master | 11 | 17% |
| Student > Ph. D. Student | 10 | 15% |
| Researcher | 8 | 12% |
| Student > Postgraduate | 3 | 5% |
| Other | 8 | 12% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 38% |
| Medicine and Dentistry | 12 | 18% |
| Agricultural and Biological Sciences | 7 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 16 | 24% |
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 10 June 2016.
All research outputs
#14,726,633
of 22,876,619 outputs
Outputs from Protein & Cell
#448
of 739 outputs
Outputs of similar age
#200,521
of 340,764 outputs
Outputs of similar age from Protein & Cell
#13
of 18 outputs
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