| Title |
Cannabidiol promotes browning in 3T3-L1 adipocytes
|
|---|---|
| Published in |
Molecular and Cellular Biochemistry, April 2016
|
| DOI | 10.1007/s11010-016-2702-5 |
| Pubmed ID | |
| Authors |
Hilal Ahmad Parray, Jong Won Yun |
| Abstract |
Recruitment of the brown-like phenotype in white adipocytes (browning) and activation of existing brown adipocytes are currently being investigated as a means to combat obesity. Thus, a wide variety of dietary agents that contribute to browning of white adipocytes have been identified. The present study was designed to investigate the effects of cannabidiol (CBD), a major nonpsychotropic phytocannabinoid of Cannabis sativa, on induction of browning in 3T3-L1 adipocytes. CBD enhanced expression of a core set of brown fat-specific marker genes (Ucp1, Cited1, Tmem26, Prdm16, Cidea, Tbx1, Fgf21, and Pgc-1α) and proteins (UCP1, PRDM16, and PGC-1α). Increased expression of UCP1 and other brown fat-specific markers contributed to the browning of 3T3-L1 adipocytes possibly via activation of PPARγ and PI3K. In addition, CBD increased protein expression levels of CPT1, ACSL, SIRT1, and PLIN while down-regulating JNK2, SREBP1, and LPL. These data suggest possible roles for CBD in browning of white adipocytes, augmentation of lipolysis, thermogenesis, and reduction of lipogenesis. In conclusion, the current data suggest that CBD plays dual modulatory roles in the form of inducing the brown-like phenotype as well as promoting lipid metabolism. Thus, CBD may be explored as a potentially promising therapeutic agent for the prevention of obesity. |
X Demographics
The data shown below were collected from the profiles of 41 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 | 15 | 37% |
| Canada | 6 | 15% |
| Germany | 1 | 2% |
| Switzerland | 1 | 2% |
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 15 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 35 | 85% |
| Practitioners (doctors, other healthcare professionals) | 5 | 12% |
| Scientists | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Uruguay | 1 | <1% |
| Unknown | 111 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 19 | 17% |
| Student > Ph. D. Student | 16 | 14% |
| Researcher | 11 | 10% |
| Student > Master | 10 | 9% |
| Other | 6 | 5% |
| Other | 9 | 8% |
| Unknown | 42 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 19% |
| Agricultural and Biological Sciences | 12 | 11% |
| Medicine and Dentistry | 11 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 6% |
| Neuroscience | 5 | 4% |
| Other | 12 | 11% |
| Unknown | 44 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 167. 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 01 September 2023.
All research outputs
#246,305
of 25,634,695 outputs
Outputs from Molecular and Cellular Biochemistry
#6
of 2,452 outputs
Outputs of similar age
#4,464
of 316,933 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#1
of 28 outputs
Altmetric has tracked 25,634,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,452 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 99% 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 316,933 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.