Comparison of Chilean honeys through MALDI-TOF-MS profiling and evaluation of their antioxidant and antibacterial potential

Olate-Olave, Verónica R.; Guzmán, Luís; López-Cortés, Xaviera A.; Cornejo, R. R.; Nachtigall, Fabiane M.; Doorn, Marnix; Santos, Leonardo S.; Bejarano, Arturo

doi:10.1016/j.aoas.2021.11.001

Cited by 6 publications

(11 citation statements)

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“…The antibacterial activity of buckwheat honey against P. aeruginosa and S. aureus was comparable with that of manuka honey. Chilean honey samples could be characterized based on their highly variable antioxidant and antibacterial activity ( 21 ). The study of Algerian honeys revealed highly significant correlations between the inhibition zone diameters of Salmonella typhi and Staphylococcus aureus and antioxidant activity, as well as phenolic and flavonoid content ( 3 ).…”

Section: Discussionmentioning

confidence: 99%

“…Polyphenols, with high levels in honey transmitted from the nectar, are representatives of the “non-peroxide antibacterial compounds,” which have been demonstrated to play a key role not only in the antimicrobial, but also in the antioxidant properties of honey ( 11 , 18 , 19 ). The antioxidant and antibacterial activities of several honey types were compared in reports from different countries, among others Brazil ( 10 , 20 ), Chile ( 21 ), Australia ( 6 ) and Algeria ( 3 ). Studies on honey extracts of the Indonesian Apis cerana bee ( 22 ), or the Bornean stingless bee ( 23 ) related the antioxidant and antibacterial activities of these honeys to their polyphenolic content.…”

Section: Introductionmentioning

confidence: 99%

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Antibacterial and Biofilm Degradation Effects of Hungarian Honeys Linked With Botanical Origin, Antioxidant Capacity and Mineral Content

et al. 2022

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The aim of the study was to assess the impact of four unifloral honeys on the food-borne pathogens Pseudomonas aeruginosa and Staphylococcus aureus, by analyzing the honeys’ antibacterial and biofilm degradation effects, as well as their antioxidant activity and element content. Linden and milkweed honeys represented light colored honeys, while goldenrod and chestnut honeys the darker ones. The botanical origin of the honeys and the relative frequency of their pollen types were established with melissopalynological analysis. The antioxidant capacities were calculated by two single electron transfer based methods (TRC – Total Reducing Capacity and TEAC – Trolox Equivalent Antioxidant Capacity) and a hydrogen atom transfer based assay (ORAC – Oxygen Radical Absorbance). The amount of four main macro- and two microelements was quantified. The antibacterial activity was determined by minimum inhibitory concentration (MIC) and membrane degradation assays. Furthermore, the biofilm degradation power of the samples was studied as well. The light colored linden honey with the lowest TRC and TEAC, but with the highest ORAC antioxidant activity and high element content showed the best antibacterial and biofilm degradation effects. Meanwhile, the dark colored chestnut honey with significantly higher single electron transfer based antioxidant capacities, with high element content, but lower ORAC showed significantly higher MIC and lower membrane degradation activity than linden honey. In case of biofilm degradation, both honey types gave similarly high inhibitory effect. Goldenrod honey was similarly effective regarding its MIC properties like chestnut honey, but had significantly lower antioxidant potential and ability to disrupt bacterial membranes and biofilms. Milkweed honey was the honey type with the lowest bioactivity and element content. The honeys, unequivocally characterized by their antioxidant characters and element content, displayed different antibacterial and biofilm degradation effects. In addition, some honey traits were found to be good predictors of the antimicrobial potential of honeys: ORAC assay showed correlation with the MIC values of both bacteria, and strict correlation was found between the mineral content and the antibiofilm activity of the studied honeys. Our studies indicate that unifloral honeys, such as linden and chestnut honeys, are plant-derived products with great potential as antimicrobial agents in food preservation, exhibiting remarkable antibacterial activity against food-borne pathogens.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Antibacterial and Biofilm Degradation Effects of Hungarian Honeys Linked With Botanical Origin, Antioxidant Capacity and Mineral Content

et al. 2022

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“…Then, a trained classifier can predict the class of new instances. In recent years, the field of medicine has focused on applying ML-based methods to analyze MS data due to their potential to analyze complex data and the ability to identify biomarkers (Olate-Olave et al, 2021 ; Tapia-Castillo et al, 2021 ; López-Cortés et al, 2022 ; González et al, 2023 ). Specifically, MS coupled with ML techniques has been widely used in different areas, including health: (i) detection/diagnosis of diseases in humans (Drew et al, 2017 ), animals (López-Cortés et al, 2017 , 2019 ), among others; (ii) detection of pathogens such as bacteria (Bruyne et al, 2011 ; Didelot et al, 2012 ; Dematheis et al, 2022 ), fungi (Becker et al, 2014 ; Bolt et al, 2016 ); and most recently in (iii) AMR prediction (Florio et al, 2020 ; Huang et al, 2020 ; Weis C. et al, 2020 ; Weis et al, 2022 ; Feucherolles et al, 2022 ; Wang et al, 2022 ; Zhang et al, 2022 ; Guerrero-López et al, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning

López-Cortés,

Manríquez-Troncoso,

Hernández-García

et al. 2024

Front. Microbiol.

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IntroductionAntimicrobial resistance (AMR) is a global health problem that requires early and effective treatments to prevent the indiscriminate use of antimicrobial drugs and the outcome of infections. Mass Spectrometry (MS), and more particularly MALDI-TOF, have been widely adopted by routine clinical microbiology laboratories to identify bacterial species and detect AMR. The analysis of AMR with deep learning is still recent, and most models depend on filters and preprocessing techniques manually applied on spectra.MethodsThis study propose a deep neural network, MSDeepAMR, to learn from raw mass spectra to predict AMR. MSDeepAMR model was implemented for Escherichia coli, Klebsiella pneumoniae, and Staphylococcus aureus under different antibiotic resistance profiles. Additionally, a transfer learning test was performed to study the benefits of adapting the previously trained models to external data.ResultsMSDeepAMR models showed a good classification performance to detect antibiotic resistance. The AUROC of the model was above 0.83 in most cases studied, improving the results of previous investigations by over 10%. The adapted models improved the AUROC by up to 20% when compared to a model trained only with external data.DiscussionThis study demonstrate the potential of the MSDeepAMR model to predict antibiotic resistance and their use on external MS data. This allow the extrapolation of the MSDeepAMR model to de used in different laboratories that need to study AMR and do not have the capacity for an extensive sample collection.

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“…Manuka honey from New Zealand is very popular on the world market. There are numerous studies of the special properties of wild honey from different regions of the world [1], including for therapeutic purposes.…”

Section: Introductionmentioning

confidence: 99%

“…In recent decades, there has been a growing interest in its medical properties. Honey contains probiotics and prebiotics, has antioxidant, immunomodulatory, and antiviral activity [1], and is used in the treatment of cancer and neurological diseases [6].…”

Section: Introductionmentioning

confidence: 99%

Beekeeping and honey production in Russia

Костенко

2022

BIO Web Conf.

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Honey occupies a special place in the diet due to its functional and medicinal properties. Honey consumption is significantly below the level recommended both in Russia and in the world. It is possible to significantly increase honey consumption both in the internal and foreign markets. The research aims to analyze and identify problems, obstacles and driving forces in the development of beekeeping in the case of Russia. Analysis showed that 18 Russian regions are focused on the export of honey to interregional and foreign markets. The beekeeping sector faces significant challenges in honey selling. The adulterated honey share is estimated at 30%. More than half of the honey on the Russian market is sold through direct short channels. Promoting products to metropolitan and foreign markets requires new approaches to building supply chains: data on apiaries and honey quality; optimizing supply chains and income distribution by chain links. The industry drivers can be a cluster approach; digital technologies to solve specific industry issues; new approaches in support of the industry by state.

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Comparison of Chilean honeys through MALDI-TOF-MS profiling and evaluation of their antioxidant and antibacterial potential

Cited by 6 publications

References 49 publications

Antibacterial and Biofilm Degradation Effects of Hungarian Honeys Linked With Botanical Origin, Antioxidant Capacity and Mineral Content

Antibacterial and Biofilm Degradation Effects of Hungarian Honeys Linked With Botanical Origin, Antioxidant Capacity and Mineral Content

MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning

Beekeeping and honey production in Russia

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