Evidence map›Paper›PMID 30834085›Full record

ArticleIranian journal of basic medical sciences2019

Methanolic leaf extract of

Gollapalle Lakshminarayanashastry Viswanatha, Marikunte Venkatanarasappa Venkataranganna, Nunna Bheema Lingeswara Prasad

Abstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

3 authors.

Gollapalle Lakshminarayanashastry ViswanathaResearch Scholar, JNT University Anantapur, Ananthapuramu 515002, India.
Marikunte Venkatanarasappa VenkatarangannaConnexios Life Sciences Pvt Ltd, Basavanagudi, Bangalore 560 004, India.
Nunna Bheema Lingeswara PrasadOil Technological and Pharmaceutical Research Institute (OTPRI), JNT University Anantapur, Ananthapuramu 515 002, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study was conducted to evaluate the cerebroprotective effect of methanolic leaf extract of MATERIALS AND

methodsThe MePG was initially assessed for

resultsIn DPPH, FRAP and ORAC assays, the MePG has exhibited potent antioxidant activity. Further, the MePG has significantly inhibited the generation of nitrite, ROS and TNF-α in LPS-induced RAW 264.7 cell lines. Besides, global ischemia followed by reperfusion caused significant changes in the neurological and behavioral functions in I/R control animals compared to sham control. Additionally, in the I/R control group there was a substantial decrease in the catalase and superoxide dismutase activities; Likewise, reduced glutathione levels reduced and lipid peroxidation levels enhanced significantly. Also, pro-inflammatory cytokines such as TNF-α, IL-6, and ICAM-I were increased and the levels of IL-10 was decreased significantly. Furthermore, the I/R insult caused increase in brain volume and cerebral infarct formation. Similarly, histopathology of the brain tissue revealed hallmarks like necrosis, leukocyte infiltration, cerebral edema and vascular congestion in I/R control. Notably, MePG (200 and 400 mg/kg) pretreatment for 7 days, has attenuated all the I/R-persuaded pathological changes compared to I/R control. In addition, the LC-MS/MS analysis showed presence of acteoside, apigenin, gallic acid, gossypin, pentagalloyl glucose, quercetin, and rutin as major ingredients in the MePG.

conclusionThese findings suggest that the MePG possesses significant cerebroprotective activity.

Indexed as

AntioxidantCerebral ischemiaNeuroprotectionPunica granatumStroke

Identifiers

PMID30834085
PMCPMC6396989

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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.