ReviewVeterinary sciences2026
Plant Extracts Target Biofilms to Alleviate Nutritional and Metabolic Disorders in Animals.
Review in Veterinary sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
6 authors.
Funding
Abstract
Bacterial biofilms represent a major driver of persistent infections in animals, productivity losses, and increased antibiotic use. The chronic inflammation and metabolic dysregulation induced by biofilms constitute major predisposing factors for nutritional and metabolic disorders in veterinary settings. Conventional antibiotic therapy is often limited by reduced efficacy and the emergence of resistance in biofilm eradication. Moreover, drug residues and associated metabolic toxicity pose additional risks to animal health and food safety. Plant extracts, characterized by multi-target modes of action, favourable biocompatibility, and metabolic regulatory potential, represent a sustainable strategy for addressing this challenge. This narrative review systematically examines the mechanisms by which plant-derived compounds modulate the formation and dispersal of pathogenic biofilms via direct and indirect pathways.
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Registered trials
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.