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Chemical composition and pharmacological activities of Pisum sativum

Overview of attention for article published in BMC Complementary and Alternative Medicine, March 2017
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Title
Chemical composition and pharmacological activities of Pisum sativum
Published in
BMC Complementary and Alternative Medicine, March 2017
DOI 10.1186/s12906-017-1699-y
Pubmed ID
Authors

Md Nazmul Hasan Zilani, Tamanna Sultana, S. M. Asabur Rahman, Md Anisuzzman, Md Amirul Islam, Jamil A. Shilpi, Md Golam Hossain

Abstract

Consumption of vegetables has been proven to be effective in the prevention of different diseases. Traditionally edible aerial part of Pisum sativum L. subsp. sativum (Fabaceae) is used to treat diabetes, heart diseases and as blood purifier. Present study was aimed to explore the traditional use of aerial parts of P. sativum as a source of antidiabetic agent. In addition, antioxidant activity and chemical composition was carried out. Total polyphenol content was spectrophotometrically determined using Folin Chiocalteu's reagent while the flavonoids by aluminum chloride colorimetric assay. Identification of compounds of the extract was made through HPLC and LCMS. Antihyperglycemic activity was assessed by oral glucose tolerance test in mice. Antioxidant activity was determined by DPPH free radical scavenging and reducing power assay. Total polyphenol and total flavonoids content were found to be 51.23 mg gallic acid equivalent and 30.88 mg quercetin equivalent per gram of dried plant extract respectively. Ellagic acid and p-coumeric acid were detected through HPLC. A total of eight compounds including naringenin, β-sitosterol were indentified through LCMS. In OGTT, extract (200 mg/kg bw) showed a 30.24% decrease (P< 0.05) in blood glucose levels at 30 min compared to the normal control. The extract showed IC50 value of 158.52 μg/mL in DPPH scavenging assay and also showed comparable reducing power. Along with other compounds ellagic acid and β-sitosterol present in the extract may be responsible for its antioxidant as well as antihyperglycemic activities. Altogether these results rationalize the use of this vegetable in traditional medicine.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 17%
Student > Ph. D. Student 8 14%
Student > Master 7 12%
Unspecified 4 7%
Lecturer 3 5%
Other 12 21%
Unknown 14 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 16%
Pharmacology, Toxicology and Pharmaceutical Science 8 14%
Biochemistry, Genetics and Molecular Biology 5 9%
Unspecified 4 7%
Chemistry 4 7%
Other 9 16%
Unknown 19 33%

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 26 April 2017.
All research outputs
#7,501,187
of 9,730,393 outputs
Outputs from BMC Complementary and Alternative Medicine
#1,610
of 2,307 outputs
Outputs of similar age
#186,966
of 261,677 outputs
Outputs of similar age from BMC Complementary and Alternative Medicine
#28
of 40 outputs
Altmetric has tracked 9,730,393 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,307 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 261,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.