Evidence map›Paper›PMID 27610169›Full record

ArticleIranian journal of pharmaceutical research : IJPR2016

In-vitro Evaluation of Protective Effects on DNA Damage and Antioxidative Activities of Ilex Spinigera Loes. Extracts.

Maryam Mohadjerani, Mina Vosoghi Roodgar

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of pharmaceutical research : IJPR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Maryam MohadjeraniDepartment of Molecular and Cell Biology, Faculty of Basic Sciences, University of Mazandaran, Babolsar, Iran.
Mina Vosoghi RoodgarDepartment of Molecular and Cell Biology, Faculty of Basic Sciences, University of Mazandaran, Babolsar, Iran.
University of Mazandaran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ilex spinigera (Aquifoliaceae) plant is an evergreen tree or shrub with thick glossy dark green leaves and red fruits. This plant has medicinal properties and has been used traditionally in northern Iran for malaria treatment. The aim of this work is to evaluate the antioxidative activities and the inhibitory effect of I. spinigera on the oxidation of DNA. We have found no reports about the popular use of I. spinigera in terms of its chemistry and biology. In this study we report the antioxidant activity of I. spinigera extracts for the first time. Water, ethanol and methanol were used as extraction solvents. Various experimental models including iron (III) reducing power, total antioxidant capacity, DPPH radical scavenging activity, PAB assay and in-vitro inhibition of AAPH-induced oxidation of DNA were used for characterization of antioxidant activity of the extracts. The three extracts showed varying degrees of efficacy in each assay in a dose-dependent manner. The aqueous extract with the highest content of total phenolics, was the most potent antioxidant in all assays except in DPPH assay. The methanol extract with the highest amount of total flavonoids was the potent scavenger of DPPH radical with an IC50 value of 102.22 ± 0.001 μg/mL. Aqueous extract of I. spinigera also showed the protective effect on DNA damage-induced by AAPH. According to our results, I. spinigera leaves extract have the potential for chemoprotective studies.

Indexed as

Antioxidant activityDNA damageDPPHIlex spinigeraPAB assay

Identifiers

PMID27610169
PMCPMC4986126
OpenAlexW1764545280

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.