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Indication of nerve growth factor binding components from herbal extracts by HerboChip: a platform for drug screening on a chip

Overview of attention for article published in Chinese Medicine, July 2016
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Title
Indication of nerve growth factor binding components from herbal extracts by HerboChip: a platform for drug screening on a chip
Published in
Chinese Medicine, July 2016
DOI 10.1186/s13020-016-0107-8
Pubmed ID
Authors

Pinky Sum Chi Lee, Laura Minglu Zhang, Artemis Lu Yan, Kelly Yin Ching Lam, Tina Tingxia Dong, Huangquan Lin, Gallant Kar Lun Chan, Karl Wah Keung Tsim

Abstract

HerboChip is an array of different fractions deriving from herbal extracts. This study aimed to identify effective components from Chinese medicine (CM) that interact with nerve growth factor (NGF) as a target using HerboChip. Fifty types of CM that are traditionally used as remedies for emotion imbalance were selected and extracted with 50 % ethanol. Biotinylated-NGF was hybridized with over 300 chips coated with different HPLC-separated fractions from CM extracts and straptavidin-Cy5 was used to identify the NGF-bound fractions. Over 300 chips were screened within a week, and 17 positive hits were identified. The interaction of the identified herbal extracts with NGF was confirmed in cultured PC12 cells. Co-application of NGF and herbal extract interfered with NGF-induced expression of neurofilaments, including NF68 and NF200 in cell cultures. Western blot analysis comparing the intensity of phosphorylated cAMP response element-binding protein (CREB) over total CREB showed NGF-induced CREB phosphorylation was modulated by the identified herbal extracts. Five CM herbs showed activating activities on the NGF response and nine CM herbs showed inhibiting activities. The current result supported the applicability of HerboChip for screening NGF binding components from herbal extracts.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 38%
Student > Bachelor 1 13%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Professor 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Nursing and Health Professions 2 25%
Medicine and Dentistry 2 25%
Agricultural and Biological Sciences 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Unknown 2 25%
Attention Score in Context

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 23 July 2016.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Chinese Medicine
#424
of 660 outputs
Outputs of similar age
#296,442
of 378,474 outputs
Outputs of similar age from Chinese Medicine
#7
of 10 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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