Evidence map›Paper›PMID 40696112›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2025

An assessment of the potential impact of eugenol on multidrug-resistant pathogens.

Saranyadevi Subburaj, Selva Kumar Thirumalaisamy, Lekshmi Gangadhar

Abstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Saranyadevi SubburajDepartment of Biotechnology, Faculty of Engineering (FoE), Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, 641021, India. myselfsaranya33@gmail.com.ORCID http://orcid.org/0000-0001-6938-5066
Selva Kumar ThirumalaisamyVel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, 600062, India.ORCID http://orcid.org/0009-0006-9777-3721
Lekshmi GangadharNanoDot Research Private Limited, Nagercoil, Tamil Nadu, 629001, India.ORCID http://orcid.org/0000-0002-1627-1230

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-drug resistance is the ability of some microorganisms, such as bacteria and viruses, to tolerate the effects of numerous medications. This phenomenon decreases the efficacy of current therapies, which causes longer illnesses and higher mortality rates. As a result, it presents an enormous threat to the healthcare sector. Research and countermeasures are of vital importance to address this global health problem, as the development of multi-drug resistance is frequently associated with inappropriate use of antibiotics or prolonged use. Our objective is to find the medicine that effectively addresses multidrug-resistant infections. Moreover, more than 100 phyto-compounds and eight receptor proteins were docked. The study showed that eugenol phyto-compound had the best docking score outcomes. The characteristics studied in the research of the eugenol compound showed that it has great prospects as a powerful antibiotic against multi-drug-resistant microbes. Further research and clinical trials are needed to confirm the efficacy of eugenol as a potential treatment for MDR infections. If proven successful, this natural compound could offer a promising solution to combat antibiotic resistance in the future.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, Multiple, BacterialEugenolHumansMicrobial Sensitivity TestsMolecular Docking SimulationAnti-Bacterial AgentsEugenolAntibioticsChromatographyDockingMinimum inhibitory concentrationPhyto-compoundResistance

Identifiers

PMID40696112
PMCPMC12350991

What OpenQuestion holds

Textmetadata
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.