Evidence map›Paper›PMID 42616214›Full record

ArticleInternational microbiology : the official journal of the Spanish Society for Microbiology2026

Antibiofilm potential of biogenic magnesium oxide nanoparticles against multidrug resistant gram-negative bacteria.

Rafia Anwer, Safdar Ali, Muhammad Shahid Mehmood, Areej Safdar, Hikmat Ullah, Mohammad Azhar Kamal, Saima Inam, Mohammad Jalal Nazari

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Article in International microbiology : the official journal of the Spanish Society for Microbiology, 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

What it found

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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

8 authors.

Rafia AnwerFaculty of Allied & Health Sciences, University of Kamalia, Toba Tek Singh, Pakistan.
Safdar AliDepartment of Microbiology, Cholistan University of Veterinary and Animal Sciences (CUVAS), Bahawalpur, 63100, Pakistan.
Muhammad Shahid MehmoodInstitute of Microbiology, University of Agriculture Faisalabad, Faisalabad, 38000, Pakistan.
Areej SafdarDepartment of Microbiology and Molecular Genetics, The Women University, Multan, Pakistan.
Hikmat UllahUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Mohammad Azhar KamalDepartment of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.
Saima InamInstitute of Molecular Biology and Biotechnology(IMBB), The University of Lahore, Lahore, Pakistan.
Mohammad Jalal NazariMedical Research and Technology Center, Khatam Al-Nabieen University, Kabul, Afghanistan. jalalnazari331@gmail.com.ORCID http://orcid.org/0009-0009-4680-3945

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance among Gram-negative bacteria, particularly those capable of forming biofilms, has become a serious clinical challenge with limited treatment options. In this study, magnesium oxide nanoparticles (MgO NPs) were synthesized using a green, cost-effective approach based on aqueous leaf extract of Cymbopogon citratus (lemongrass) and evaluated for their antibacterial and antibiofilm potential against multidrug resistant (MDR) clinical isolates of Acinetobacter baumannii, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Escherichia coli. Minimum inhibitory concentration (MIC) values determined by broth microdilution ranged from 250 to 500 µg/ml, and minimum bactericidal concentration (MBC) values ranged from 1000 to 2000 µg/ml. Antibacterial activity assessed by the well diffusion method was dose-dependent, with inhibition zones ranging from 18 to 28 mm. The effect of MgO NPs on biofilm formation and eradication of pre-formed biofilms was evaluated using microtiter plate assay with crystal violet staining. Percentage inhibition of biofilm formation ranged from 27 to 97.1%, while eradication of established biofilms ranged from 51.9 to 96.4%. Exposure to sub-inhibitory concentrations of MgO NPs led to a 2 to 3-fold increase in reactive oxygen species (ROS) production in treated cells compared to controls. MgO NPs also significantly reduced the protein, carbohydrate, and DNA content of the biofilm matrix. Swimming, swarming, and twitching motility were markedly reduced in treated isolates. Congo red agar assay confirmed that slime production was inhibited following NP treatment. These findings suggest that biogenically synthesized MgO NPs hold considerable promise as antibacterial and antibiofilm agents against MDR Gram-negative pathogens.

Indexed as

AntibacterialBiofilmMagnesium oxide nanoparticlesMotility

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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.