Evidence map›Paper›PMID 42340487›Full record

ArticleMolecular biology reports2026

Antibiofilm and antivirulence effects of cinnamaldehyde on Acinetobacter baumannii.

Thahiya Naushad, Sajna Salim, Shiburaj Sugathan, Irfan Türetgen

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Article in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Thahiya NaushadFundamental and Industrial Microbiology Division, Department of Biology, Faculty of Science, Istanbul University, Istanbul, Turkey.ORCID http://orcid.org/0009-0004-8541-0080
Sajna SalimDepartment of Biotechnology, University of Kerala, Kariavattom Campus, Thiruvananthapuram, 695 581, Kerala, India.ORCID http://orcid.org/0000-0002-4700-2471
Shiburaj SugathanDepartment of Botany, University of Kerala, Kariavattom Campus, Thiruvananthapuram, 695 581, Kerala, India.
Irfan TüretgenFundamental and Industrial Microbiology Division, Department of Biology, Faculty of Science, Istanbul University, Istanbul, Turkey. turetgen@istanbul.edu.tr.ORCID http://orcid.org/0000-0002-7866-1007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcinetobacter baumannii is a multidrug-resistant pathogen known for its robust biofilm formation, leading to persistent infections and treatment failure. Traditional antibiotics often struggle to penetrate these biofilms. Cinnamaldehyde, a plant-derived antimicrobial compound, holds potential as an antibiofilm agent. This study investigates its effects on biofilm formation, EPS production, cell surface properties, oxidative stress response, and gene expression in A. baumannii.

methodsThis study evaluated the antibiofilm activity of cinnamaldehyde using A. baumannii. Biofilm formation was quantified via crystal violet assay, while structural alterations were visualised using light microscopy, SEM, and CLSM. EPS production and cell surface hydrophobicity were evaluated using phenol-sulfuric acid and MATH assays. Catalase activity was assessed through H₂O₂ sensitivity, and qRT-PCR analysed gene expression. Cytotoxicity was evaluated using the MTT assay on mouse fibroblast cells.

resultsCinnamaldehyde significantly inhibited biofilm formation, with 86.67% reduction at 0.007% (v/v), without affecting planktonic growth. Microscopy revealed disrupted biofilm architecture and reduced microcolony formation. SEM showed reduced EPS and altered cell morphology. EPS quantification confirmed a 33.06% reduction. Cell surface hydrophobicity decreased from 86.76% to 21.93%, impairing bacterial adhesion. H₂O₂ sensitivity increased, indicating reduced catalase activity. Gene expression analysis showed downregulation of bfmR, ompA, csuA/B, and katE. Cinnamaldehyde showed minimal cytotoxicity in mouse fibroblast cells.

conclusionCinnamaldehyde effectively inhibits A. baumannii biofilms through structural disruption, EPS reduction, altered surface hydrophobicity, oxidative stress sensitization, and gene suppression. Its non-toxic nature and broad mechanisms highlight its potential as a plant-based antibiofilm agent for controlling resistant infections.

Indexed as

Acinetobacter baumanniiAcroleinBiofilmsAnimalsAnti-Bacterial AgentsBacterial AdhesionGene Expression Regulation, BacterialHydrogen PeroxideHydrophobic and Hydrophilic InteractionsMiceMicrobial Sensitivity TestsOxidative StressVirulenceAcroleinAnti-Bacterial AgentscinnamaldehydeHydrogen PeroxideAcinetobacter baumanniiAntibiofilmAntivirulenceCinnamaldehydeGene expression analysis

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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.