Evidence map›Paper›PMID 39033205›Full record

ArticleScientific reports2024

Evaluation of antibacterial, antioxidant, and anti-inflammatory properties of GC/MS analysis of extracts of Ajuga. integrifolia Buch.-Ham. leaves.

Harsha Singh, Suresh Kumar, Atul Arya

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

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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.

Harsha SinghMedicinal Plant Research Laboratory, Department of Botany, Ramjas College, University of Delhi, New Delhi, India.
Suresh KumarMedicinal Plant Research Laboratory, Department of Botany, Ramjas College, University of Delhi, New Delhi, India. suresh.kumar@ramjas.du.ac.in.
Atul AryaMedicinal Plant Research Laboratory, Department of Botany, Ramjas College, University of Delhi, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the current study was to examine chemical composition, antioxidant, anti-inflammatory and antibacterial properties of leaves extract of Ajuga integrifolia Buch.-Ham. The antibacterial and antioxidant properties of three different solvents i.e. methanol (AIM), hexane (AIH), and water (AIW) were tested against two bacterial strains Staphylococcus aureus and Escherichia coli. The presence of antioxidant and antibacterial chemicals, such as hexanedioic acid, hexadecanoic acid, nonadecadiene, hexadecen-1-ol, octadecadienoic acid, nonane, phytol, henicosanal, stearyl aldehyde, and neophytadiene, were depicted in the GCMS chromatograms of three extracts. After the extracts' FTIR peaks were examined, it was discovered that phenols, amines, hydroxy groups, and components linked to amino acids were present. Compared to the Hexane and Water extracts, the Methanol extract showed a greater phenolic (196.16 ± 0.0083 mg gallic acid equivalent/gram), flavonoid (222.77 ± 0.002 mg rutin equivalents/g) and phosphomolybdate assay for total antioxidant activity (557.62 ± 0.0023 mg AAE/g). Methanol extract showed the highest scavenging activity with a minimum IC50 value was observed in DPPH assay. AIM showed its maximum anti-denaturation activity i.e. 3.75 ± 0.28%. For antibacterial activities, best zone of inhibition (ZOI) and minimum inhibitory concentration (MIC) was observed in case of the methanol extract as compared to other extracts against methicillin-resistant Staphylococcus aureus and β-lactam-resistant Escherichia coli.

Indexed as

Anti-Bacterial AgentsAnti-Inflammatory AgentsAntioxidantsEscherichia coliGas Chromatography-Mass SpectrometryMicrobial Sensitivity TestsPlant ExtractsPlant LeavesStaphylococcus aureusFlavonoidsPhenolsAnti-Bacterial AgentsAnti-Inflammatory AgentsAntioxidantsFlavonoidsPhenolsPlant Extracts

Identifiers

PMID39033205
PMCPMC11271457

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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.