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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Screening for anti-inflammatory components from Corydalis bungeana Turcz. based on macrophage binding combined with HPLC
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, October 2015
|
| DOI | 10.1186/s12906-015-0907-x |
| Pubmed ID | |
| Authors |
Zi-Bo Dong, Yong-Hong Zhang, Bing-Jie Zhao, Chao Li, Gang Tian, Ben Niu, Hong Qi, Liang Feng, Jian-Guo Shao |
| Abstract |
Corydalis bungeana Turcz. (CB; family: Corydalis DC.) is an anti-inflammatory medicinal herb used widely in traditional Chinese medicine (TCM) for upper respiratory tract infection, etc., but its anti-inflammatory active molecules are unknown. This study was designed to screen for the anti-inflammatory components from CB based on macrophage binding combined with HPLC. Xylene-induced ear edema in mouse and carrageenan-induced hind-paw edema in rats were used to evaluate the anti-inflammatory activity of CB. The macrophage binding with high-performance liquid chromatography (HPLC) analysis and HPLC-MS were established to screen the potential active compounds. ELISA kits were performed to measure the levels of IL-6, IL-10, TNF-α and NO in RAW 264.7 macrophages culture media. The alkaloid extract of CB could inhibit significantly xylene-induced ear edema in mouse and carrageenan-induced hind-paw edema in rats. Two components binded to RAW 264.7 cell were identified as 12-hydroxycorynoline and corynoline. Bioassays demonstrated that these two compounds significantly inhibited LPS-induced IL-6, IL-10, TNF-α and NO levels. The results suggest that corynoline and 12-hydroxycorynoline contribute to the anti-inflammatory effects of the alkaloid extract of CB. Our findings suggest that these two compounds can be used as candidate for anti-inflammatory drugs. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 3 | 50% |
| India | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 21% |
| Student > Ph. D. Student | 3 | 16% |
| Student > Bachelor | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Other | 2 | 11% |
| Unknown | 4 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 26% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 16% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Chemistry | 2 | 11% |
| Nursing and Health Professions | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 4 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 25 January 2021.
All research outputs
#5,877,602
of 23,577,654 outputs
Outputs from BMC Complementary Medicine and Therapies
#950
of 3,712 outputs
Outputs of similar age
#70,172
of 280,735 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#17
of 82 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,712 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 74% 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 280,735 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.