Evidence map›Paper›PMID 41703268›Full record

ArticleProbiotics and antimicrobial proteins2026

Antimicrobial and Pharmacokinetic Evaluation of Octanoic Acid Identified Through GC-MS Profiling of Lactiplantibacillus Plantarum 12 - 3 against LuxS-Mediated Quorum Sensing in Biofilms of Foodborne Pathogens Using Computational Approaches.

Tariq Aziz, Abid Sarwar, Zhennai Yang, Abeer S Aloufi, Ashwag Shami, Maher S Alwethaynani

Abstract read
PubMed Publisher
In one paragraph

Article in Probiotics and antimicrobial proteins, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Tariq AzizKey Laboratory of Geriatric Nutrition and Health of Ministry of Education, Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, No. 11 Fucheng Road, Hai-Dian District, Beijing, 100048, China. iwockd@gmail.com.
Abid SarwarKey Laboratory of Geriatric Nutrition and Health of Ministry of Education, Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, No. 11 Fucheng Road, Hai-Dian District, Beijing, 100048, China.
Zhennai YangKey Laboratory of Geriatric Nutrition and Health of Ministry of Education, Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, No. 11 Fucheng Road, Hai-Dian District, Beijing, 100048, China. yangzhennai@th.btbu.edu.cn.
Abeer S AloufiDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Ashwag ShamiDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Maher S AlwethaynaniDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Shaqra University, Alquwayiyah, Riyadh, Saudi Arabia.

Funding

National Natural Science Foundation of China 32272296Princess Nourah Bint Abdulrahman University PNURSP2026R357
6 · The paper itself

Abstract

Quorum sensing (QS) is a critical communication mechanism in foodborne pathogens such as Listeria monocytogenes, Salmonella enterica, and Escherichia coli O157:H7, regulating virulence, motility, and biofilm formation via the LuxS-mediated autoinducer-2 (AI-2) signaling pathway. Inhibition of LuxS offers a promising anti-QS strategy for controlling pathogenic biofilms through natural, non-antibiotic compounds. This study aimed to explore the quorum-sensing inhibitory potential of fatty acid metabolites derived from Lactiplantibacillus plantarum 12 - 3 against LuxS enzymes of these pathogens. Experimentally reported GC-MS data of L. plantarum 12 - 3 under linoleic acid (1-10% w/v) induction were utilized for metabolite identification and retrieval. Fifteen characterized fatty acids were modeled and subjected to molecular docking using AutoDock Vina, followed by molecular dynamics (MD) simulations in AMBER to assess structural stability. Among all analyzed metabolites, octanoic acid exhibited the highest binding affinities of - 8.9, - 8.5, and - 9.2 kcal·mol⁻¹ with LuxS proteins of L. monocytogenes, S. enterica, and E. coli O157:H7, respectively, forming hydrogen bonds with key catalytic residues (Asn47, His114, and Glu57) and multiple hydrophobic contacts that stabilized the enzyme-ligand complex. MD simulations confirmed strong conformational stability with minimal RMSD (0.95 nm) and RMSF (1.6 Å) fluctuations, validating the docking outcomes. Octanoic acid displays stable binding within the LuxS active site, suggesting possible modulation of AI-2 synthesis, although experimental validation is required. Future studies involving in vitro and in vivo validation are warranted to confirm its efficacy and establish probiotic-derived fatty acids as sustainable biofilm control agents in food safety applications.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsBiofilmsCaprylatesCarbon-Sulfur LyasesLactiplantibacillus plantarumQuorum SensingEscherichia coli O157Gas Chromatography-Mass SpectrometryListeria monocytogenesMolecular Docking SimulationMolecular Dynamics SimulationSalmonella entericaAnti-Bacterial AgentsBacterial ProteinsCaprylatesCarbon-Sulfur LyasesLuxS protein, Bacteriaoctanoic acidLactiplantibacillus Plantarum 12 − 3LuxSMolecular dockingOctanoic acidQuorum sensing inhibition

Identifiers

What Socratic 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 Socratic graph.