Evidence map›Paper›PMID 41712590›Full record

ArticlePloS one2026

Synergistic effects of antibiotics and fucoidan on dual-species Staphylococcus aureus and Acinetobacter baumannii biofilm in diabetic rat wound models.

Mohsen Nazari, Mohammad Taheri, Fatemeh Nouri, Maryam Bahmanzadeh, Mohammad Yousef Alikhani

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Article in PloS one, 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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

5 authors.

Mohsen NazariDepartment of Microbiology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Mohammad TaheriDepartment of Microbiology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Fatemeh NouriDepartment of Pharmaceutical Biotechnology, School of Pharmacy, Hamadan University of Medical Sciences, Hamadan, Iran.
Maryam BahmanzadehDepartment of Anatomical Sciences, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Mohammad Yousef AlikhaniInfectious Disease Research Center, Avicenna Institute of Clinical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID https://orcid.org/0000-0003-4577-4029

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic diabetic wounds are often complicated by biofilm-forming, antibiotic-resistant pathogens such as Staphylococcus aureus and Acinetobacter baumannii, which delay healing. This study evaluated the synergistic effects of gentamicin and imipenem in combination with fucoidan, a sulfated polysaccharide from brown seaweed, against dual-species biofilms in a diabetic rat wound model.

methodsMethicillin-resistant S. aureus (MRSA) strain 6 and A. baumannii strain 1, isolated from diabetic foot ulcers, were used to establish dual-species biofilms in vitro and in vivo. Excisional wounds were created in male Wistar rats with streptozocin-induced type II diabetes and infected with the biofilms. Rats received daily treatments of gentamicin, imipenem, their combination, or the triple combination with fucoidan. Outcomes assessed included bacterial load (CFU/g), biofilm formation, expression of biofilm-related genes (icaA and bap by real-time PCR), wound size, and histological healing parameters.

resultsThe triple therapy demonstrated the strongest antibacterial effect, reducing bacterial load by more than 4 log₁₀ CFU/g compared to controls (p < 0.005). Real-time PCR revealed significant downregulation of icaA in S. aureus (threefold decrease) and bap in A. baumannii (fourfold decrease) relative to antibiotic-only groups (p < 0.005). Histology showed accelerated wound contraction and complete re-epithelialization by day 14 with the triple combination, whereas monotherapy or dual antibiotics led to delayed healing and persistent inflammation.

conclusionsFucoidan enhances the efficacy of gentamicin and imipenem against biofilm-associated infections and promotes diabetic wound healing. This combinatorial approach offers a promising strategy for managing chronic, biofilm-infected wounds and combating antibiotic resistance.

Indexed as

Acinetobacter baumanniiAnti-Bacterial AgentsBiofilmsDiabetes Mellitus, ExperimentalPolysaccharidesStaphylococcus aureusAnimalsDisease Models, AnimalDrug SynergismGentamicinsImipenemMaleMethicillin-Resistant Staphylococcus aureusRatsRats, WistarWound HealingAnti-Bacterial AgentsfucoidanGentamicinsImipenemPolysaccharides

Identifiers

PMID41712590
PMCPMC12919824

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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.