| Title |
Mulberry leaf polyphenols delay aging and regulate fat metabolism via the germline signaling pathway in Caenorhabditis elegans
|
|---|---|
| Published in |
GeroScience, October 2014
|
| DOI | 10.1007/s11357-014-9719-z |
| Pubmed ID | |
| Authors |
Shanqing Zheng, Sentai Liao, Yuxiao Zou, Zhi Qu, Weizhi Shen, Ying Shi |
| Abstract |
Mulberry leaves are an important ingredient in some traditional Chinese medicinal formulas and has been developed for use in functional food products. The antioxidant activity of mulberry leaf extract has been reported to have beneficial effects on diseases in vitro; however, it is not clear which components in mulberry leaf extracts have these functions. Furthermore, the mechanisms of action of these ingredients have not been extensively investigated. In this study, we extracted total mulberry leaf polyphenols (MLP) and identified its 13 phenolic monomers. Our results, using Caenorhabditis elegans as a model, indicated that MLPs delayed aging, improved oxidative stress resistance, and reduced fatty acid storage in vivo. Subsequent genetic screens and gene expression analyses demonstrated that the functions of MLP mainly depended on the germline signaling pathway, thus influencing the activities of downstream transcription factors (DAF-12, DAF-16, PHA-4, and NHR-80) as well as the expression levels of their target genes (fat-6, lipl-4, sod-3, unc-51, and fard-1). Our study determined that diverse modes of action on longevity were promoted by MLP exposure. These observations provide the first insight into MLP's multifaceted functions on aging, fat accumulation, and reproduction in vivo and indicate a specific model for the mechanism of action of MLP. This is a significant finding that lends support to the hypotheses that mulberry leaf extracts can have an impact on human health. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 25% |
| Student > Bachelor | 8 | 20% |
| Researcher | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 12 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 20% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 10% |
| Chemistry | 3 | 8% |
| Engineering | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 15 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 May 2019.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from GeroScience
#1,391
of 1,595 outputs
Outputs of similar age
#198,688
of 271,184 outputs
Outputs of similar age from GeroScience
#13
of 17 outputs
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