Evidence map›Paper›PMID 35684412›Full record

ArticleMolecules (Basel, Switzerland)2022

Chemico-Pharmacological Screening of the Methanol Extract of

Nishan Chakrabarty, Hea-Jong Chung, Rashedul Alam, Nazim Uddin Emon, Safaet Alam, Mohammed Fazlul Kabir, Md Minarul Islam, Seong-Tshool Hong, Tapas Sarkar, Md Moklesur Rahman Sarker and 1 more

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  4. In Vivo, In Vitro and In Silico Study ofMolecules (Basel, Switzerland) · 2023
    Article
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  6. Article
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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

11 authors.

Nishan ChakrabartyDepartment of Pharmacy, Jagannath University, Dhaka 1100, Bangladesh.
Hea-Jong ChungGwanju Center, Korea Basic Science Institute, Gwanju 61715, Korea.ORCID 0000-0002-1185-7654
Rashedul AlamDepartment of Pharmacology, Medical School, Jeonbuk National University, Jeonju 54896, Korea.
Nazim Uddin EmonDepartment of Pharmacy, Faculty of Science and Engineering, International Islamic University Chittagong, Chattogram 4318, Bangladesh.ORCID 0000-0001-7567-4796
Safaet AlamPharmaceutical Sciences Research Division, Bangladesh Council of Scientific and Industrial Research Laboratories (BCSIR), Dr. Qudrat-I-Khuda Road, Dhanmondi, Dhaka 1205, Bangladesh.
Mohammed Fazlul KabirDepartment of Biology, Georgia State University, Atlanta, GA 30303, USA.
Md Minarul IslamDepartment of Biomedical Sciences, Institute for Medical Science, Jeonbuk National University Medical School, Jeonju 54907, Korea.ORCID 0000-0002-4950-3210
Seong-Tshool HongDepartment of Biomedical Sciences, Institute for Medical Science, Jeonbuk National University Medical School, Jeonju 54907, Korea.ORCID 0000-0001-8254-6581
Tapas SarkarDepartment of Pharmacy, Gono Bishwabidyalay, Dhaka 1344, Bangladesh.
Md Moklesur Rahman SarkerDepartment of Pharmacy, State University of Bangladesh, Dhaka 1205, Bangladesh.ORCID 0000-0001-9795-0608
Mohammad Manjur RahmanDepartment of Pharmacy, Gono Bishwabidyalay, Dhaka 1344, Bangladesh.ORCID 0000-0002-6698-2057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gynura nepalensis D.C. (family: Asteraceae) has abundant uses in the alternative medicinal practice, and this species is commonly used in the treatment of diabetes, rheumatism, cuts or wounds, asthma, kidney stones, cough, urinary tract bleeding, gall bladder stones, hepatitis, diarrhea, hemorrhoids, constipation, vomiting, fertility problems, blood poisoning, septicemia, skin allergy, indigestion, high cholesterol levels, and so on. This study aims to investigate the hepatoprotective and antioxidant potential of the methanol extract of the Gynura nepalensis D.C. (GNME) along with chemical profiling with phytochemical screening. Moreover, prospective phytocompounds have been screened virtually to present the binding affinity of the bioactive components to the hepatic and oxidative receptors. In the hepatoprotective study, alanine transaminase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), total protein (TP), and lipid peroxidation (LP) and total bilirubin (TB) have been assessed, and in the antioxidant study, the DPPH free radical scavenging, total antioxidant flavonoid, and phenolic contents were determined. Moreover, the molecular binding affinity of the bioactive component of the plant has been analyzed using PyRx AutoDock Vina, Chimera, and Discovery Studio software. The plant extract showed dose-dependent hepatoprotective potential (p < 0.05, 0.01, 0.001) as well as strong antioxidant properties. Moreover, hepatoprotective and antioxidant molecular docking studies revealed a result varying from −2.90 kcal/mol to −10.1 kcal/mol. 4,5-dicaffeoylquinic acid and chlorogenic acid revealed the highest binding affinity among the selected molecules. However, the plant showed portent antioxidant and hepatoprotective properties in the in vitro, in vivo, and in silico models, and it is presumed that the hepatoprotective properties of the plant extract have occurred due to the presence of the vast bioactive chemical compounds as well as their antioxidant properties. Therefore, advanced studies are recommended to elucidate the pharmacological properties of the plant extracts.

Indexed as

AsteraceaeChemical and Drug Induced Liver InjuryAntioxidantsComputersLiverMethanolMolecular Docking SimulationPlant ExtractsProspective StudiesAntioxidantsMethanolPlant Extractsantioxidantbinding affinitybioactive compoundcomplementary and alternative medicineGynura nepalensishepatoprotectivephytomedicine

Identifiers

PMID35684412
PMCPMC9182521

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Registered trials

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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.