Translational plausibility of honey-derived antimicrobial biomaterials against biofilm-associated infections

Chronic biofilm-associated infections drive antimicrobial resistance (AMR) via prolonged systemic antibiotic therapy that is often ineffective. Honeys from Apis mellifera and stingless bees (Meliponini) exhibit antimicrobial and anti-biofilm activity via complementary mechanisms: osmotic stress, low pH, hydrogen peroxide, methylglyoxal, bee defensin-1, and phenolic and organic compounds. This is most effective when concentrated at the application site. Yet honey therapeutics are often framed as systemic nutraceuticals despite biologically incoherent pharmacokinetics. We propose translational plausibility, an analytical framework built on four interdependent dimensions: spatial, temporal, dose, and compositional coherence that distinguishes microbiologically defensible interventions from speculative ones, applicable beyond honey to natural-product antimicrobials. Applied to honey, the framework identifies topical, localized application as the only translationally coherent clinical route. Reframed as ecological therapeutic biomaterials, honeys address interconnected AMR priorities: disrupting polymicrobial ESKAPE biofilms, preserving distant microbiotas, reducing systemic antibiotic use in wound care, potentiating antibiotics, and supporting stewardship. Planetary health benefits, pollinator conservation, meliponiculture, and equitable access emerge as corollaries, not primary justification.

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Publication Details

Journal
Frontiers in Microbiology
Published
2026-10-26
DOI
https://doi.org/10.3389/fmicb.2026.1971766
Primary Topic
Bee Products Chemical Analysis
Type
article
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article

Translational plausibility of honey-derived antimicrobial biomaterials against biofilm-associated infections

António Machado, José M. Álvarez-Suárez, Juraj Majtán
Frontiers in Microbiology
Bee Products Chemical Analysis
article

Translational plausibility of honey-derived antimicrobial biomaterials against biofilm-associated infections

António Machado, José M. Álvarez-Suárez, Juraj Majtán
article en

Abstract

Chronic biofilm-associated infections drive antimicrobial resistance (AMR) via prolonged systemic antibiotic therapy that is often ineffective. Honeys from Apis mellifera and stingless bees (Meliponini) exhibit antimicrobial and anti-biofilm activity via complementary mechanisms: osmotic stress, low pH, hydrogen peroxide, methylglyoxal, bee defensin-1, and phenolic and organic compounds. This is most effective when concentrated at the application site. Yet honey therapeutics are often framed as systemic nutraceuticals despite biologically incoherent pharmacokinetics. We propose translational plausibility, an analytical framework built on four interdependent dimensions: spatial, temporal, dose, and compositional coherence that distinguishes microbiologically defensible interventions from speculative ones, applicable beyond honey to natural-product antimicrobials. Applied to honey, the framework identifies topical, localized application as the only translationally coherent clinical route. Reframed as ecological therapeutic biomaterials, honeys address interconnected AMR priorities: disrupting polymicrobial ESKAPE biofilms, preserving distant microbiotas, reducing systemic antibiotic use in wound care, potentiating antibiotics, and supporting stewardship. Planetary health benefits, pollinator conservation, meliponiculture, and equitable access emerge as corollaries, not primary justification.

Frontiers in MicrobiologyVol. 17
Universidade dos Açores (PT), Slovak Medical University (SK), Slovak Academy of Sciences (SK), Institute of Molecular Biology of the Slovak Academy of Sciences (SK), Centro de Investigação em Biodiversidade e Recursos Genéticos (PT), Universidad San Francisco de Quito (EC)
Openalex Percentile: Top 14%
Bee Products Chemical Analysis
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Translational plausibility of honey-derived antimicrobial biomaterials against biofilm-associated infections — António Machado, José M. Álvarez-Suárez, et al. · Frontiers in Microbiology (2026) | TGRS Research Map | TGRS