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Three-Step Test System for the Identification of Novel GABAA Receptor Modulating Food Plants

Overview of attention for article published in Plant Foods for Human Nutrition, July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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1 news outlet
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5 X users
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26 Mendeley
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Title
Three-Step Test System for the Identification of Novel GABAA Receptor Modulating Food Plants
Published in
Plant Foods for Human Nutrition, July 2016
DOI 10.1007/s11130-016-0566-1
Pubmed ID
Authors

Sümeyye Sahin, Volker Eulenburg, Wolfgang Kreis, Carmen Villmann, Monika Pischetsrieder

Abstract

Potentiation of γ-amino butyric acid (GABA)-induced GABAA receptor (GABAAR) activation is a common pathway to achieve sedative, sleep-enhancing, anxiolytic, and antidepressant effects. Presently, a three-component test system was established for the identification of novel GABAAR modulating food plants. In the first step, potentiation of GABA-induced response of the GABAAR was analysed by two-electrode voltage clamp (TEVC) for activity on human α1β2-GABAAR expressed in Xenopus laevis oocytes. Positively tested food plants were then subjected to quantification of GABA content by high-performance liquid chromatography with fluorescence detection (HPLC-FLD) to exclude test foods, which evoke a TEVC-response by endogenous GABA. In the third step, specificity of GABAA-modulating activity was assessed by TEVC analysis of Xenopus laevis oocytes expressing the homologous glycine receptor (GlyR). The three-component test was then applied to screen 10 aqueous extracts of food plants for their GABAAR activity. Thus, hop cones (Humulus lupulus) and Sideritis sipylea were identified as the most potent specific GABAAR modulators eliciting significant potentiation of the current by 182 ± 27 and 172 ± 19 %, respectively, at the lowest concentration of 0.5 μg/mL. The extracts can now be further evaluated by in vivo studies and by structural evaluation of the active components.

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Researcher 4 15%
Student > Master 3 12%
Lecturer 1 4%
Professor 1 4%
Other 3 12%
Unknown 7 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 23%
Biochemistry, Genetics and Molecular Biology 5 19%
Medicine and Dentistry 2 8%
Neuroscience 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 1 4%
Unknown 9 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 02 February 2021.
All research outputs
#2,614,479
of 22,880,230 outputs
Outputs from Plant Foods for Human Nutrition
#115
of 703 outputs
Outputs of similar age
#48,724
of 354,637 outputs
Outputs of similar age from Plant Foods for Human Nutrition
#3
of 10 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 703 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done well, scoring higher than 83% 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 354,637 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.