Evidence map›Paper›PMID 35239727›Full record

ArticlePloS one2022

Ameliorations in dyslipidemia and atherosclerotic plaque by the inhibition of HMG-CoA reductase and antioxidant potential of phytoconstituents of an aqueous seed extract of Acacia senegal (L.) Willd in rabbits.

Jaykaran Charan, Priyanka Riyad, Heera Ram, Ashok Purohit, Sneha Ambwani, Priya Kashyap, Garima Singh, Abeer Hashem, Elsayed Fathi Abd Allah, Vijai Kumar Gupta and 2 more

Erratum issuedOpen access · goldFull text read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Effects of Dietary Bioactive Lipid Compounds ofAnimals : an open access journal from MDPI · 2023
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 2 countries.

Jaykaran CharanDepartment of Pharmacology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Priyanka RiyadDepartment of Zoology, Jai Narain Vyas University, Jodhpur, Rajasthan, India.
Heera RamDepartment of Zoology, Jai Narain Vyas University, Jodhpur, Rajasthan, India.ORCID 0000-0001-6743-1321
Ashok PurohitDepartment of Zoology, Jai Narain Vyas University, Jodhpur, Rajasthan, India.
Sneha AmbwaniDepartment of Pharmacology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Priya KashyapUniversity School of Biotechnology, GGS Indraprastha University, New Delhi, India.
Garima SinghDepartment of Botany, Pachhunga University College, Aizawl, Mizoram, India.
Abeer HashemBotany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia.
Elsayed Fathi Abd AllahPlant Production Department, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia.
Vijai Kumar GuptaCenter for Safe and Improved Food & Biorefining and Advanced Biomaterials Research Center, SRUC, Kings Buildings, Scotland, United Kingdom.
Ashok KumarCentre for Systems biology and bioinformatics, Panjab University Chandigarh, Punjab, India.
Anil PanwarCentre for Systems biology and bioinformatics, Panjab University Chandigarh, Punjab, India.
Jai Narain Vyas University · INAll India Institute of Medical Sciences Jodhpur · INKing Saud University · SAPanjab University · INGuru Gobind Singh Indraprastha University · INMizoram University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assigned work was aimed to examine the capability of phytoconstituents of an aqueous seed extract of Acacia senegal (L.) Willd to inhibit HMG-CoA reductase and regression of the atherosclerotic plaque. The chemical fingerprinting of the test extract was assessed by LC-MS/MS. Consequently, the analyses of in-vitro, in-vivo, and in-silico were executed by using the standard protocols. The in-vitro assessment of the test extract revealed 74.1% inhibition of HMG-CoA reductase. In-vivo assessments of the test extract indicated that treated hypercholesterolemic rabbits exhibited a significant (P≤0.001) amelioration in the biomarker indices of the dyslipidaemia i.e., atherogenic index, Castelli risk index(I&II), atherogenic coefficient along with lipid profile. Subsequently, significant reductions were observed in the atherosclerotic plaque and antioxidant levels. The in-silico study of molecular docking shown interactions capabilities of the leading phytoconstituents of the test extract i.e., eicosanoic acid, linoleic acid, and flavan-3-ol with target protein of HMG-CoA reductase. The values of RSMF and potential energy of top docked complexes were show significant interactions. Accordingly, the free energy of solvation, interaction angle, radius of gyration and SASA were shown significant stabilities of top docked complex. The cumulative data of results indicate phytoconstituents of an aqueous seed extract of Acacia senegal have capabilities to inhibit the HMG-CoA reductase and improve the levels of antioxidants.

Indexed as

AcaciaDyslipidemiasHydroxymethylglutaryl-CoA Reductase InhibitorsPlaque, AtheroscleroticAcyl Coenzyme AAnimalsAntioxidantsChromatography, LiquidHydroxymethylglutaryl CoA ReductasesHydroxymethylglutaryl-CoA-Reductases, NADP-dependentMolecular Docking SimulationPlant ExtractsRabbitsSenegalTandem Mass Spectrometry3-hydroxy-3-methylglutaryl-coenzyme AAcyl Coenzyme AAntioxidantsHydroxymethylglutaryl-CoA Reductase InhibitorsHydroxymethylglutaryl CoA ReductasesHydroxymethylglutaryl-CoA-Reductases, NADP-dependentPlant Extracts

Identifiers

PMID35239727
PMCPMC8893677
OpenAlexW4214857365

What OpenQuestion holds

Textfull text, public
LicenceCC BY
Read underepoch 390

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.