| Title |
Metabolic profile of puerarin in rats after intragastric administration of puerarin solid lipid nanoparticles
|
|---|---|
| Published in |
International Journal of Nanomedicine, March 2013
|
| DOI | 10.2147/ijn.s39349 |
| Pubmed ID | |
| Authors |
Cheng-Feng Luo, Ning Hou, Juan Tian, Mu Yuan, Shi-Ming Liu, Long-Gen Xiong, Jian-Dong Luo, Min-Sheng Chen |
| Abstract |
Puerarin has multiple pharmacological effects and is widely prescribed for patients with cardiovascular diseases including hypertension, cerebral ischemia, myocardial ischemia, diabetes mellitus, and arteriosclerosis. We have successfully prepared puerarin-loaded solid lipid nanoparticles (Pue-SLNs) for oral administration. Pue-SLNs are prepared using monostearin, soya lecithin, and poloxamer 188. SLNs may alter the course of puerarin absorption predominantly to and through lymphatic routes and regions, presumably following a transcellular path of lipid absorption, especially by enterocytes and polar epithelial cells of the intestine. The alteration of absorption might influence the metabolic profile of puerarin when incorporated into SLNs. In the present study, we investigated the metabolic profile of puerarin in rat plasma and urine using rapid resolution liquid chromatography-tandem mass spectrometry after a single-dose intragastric administration of Pue-SLNs in comparison with puerarin suspension. Two glucuronidated metabolites of puerarin, puerarin-4'-O-glucuronide and puerarin-7-O-glucuronide, were detected in rat plasma and urine after intragastric administration of Pue-SLNs, with the latter acting as the major metabolite. Similar results were found in rat plasma and urine after intragastric administration of puerarin suspension. The results suggest that incorporation of puerarin into SLNs does not change either the position of glucuronidation or the metabolic pathway of puerarin in rats. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Researcher | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Other | 7 | 25% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 18% |
| Agricultural and Biological Sciences | 5 | 18% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Medicine and Dentistry | 2 | 7% |
| Chemistry | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 9 | 32% |
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 March 2013.
All research outputs
#20,823,121
of 25,584,565 outputs
Outputs from International Journal of Nanomedicine
#3,113
of 4,077 outputs
Outputs of similar age
#159,453
of 206,591 outputs
Outputs of similar age from International Journal of Nanomedicine
#44
of 56 outputs
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