Application of artificial neural networks to describe the combined effect of pH, time, NaCl and ethanol concentrations on the biofilm formation of Staphylococcus aureus

Vaezi, Sayedeh Saleheh; Poorazizi, Elahe; Tahmourespour, Arezoo; Aminsharei, Farham

doi:10.1016/j.micpath.2020.103986

Cited by 15 publications

(13 citation statements)

References 47 publications

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“…Time courses of biofilm formation by S. aureus obviously demonstrate a greater degree of biofilm development later relative to earlier time points. Importantly, few of these studies have been reported, with one conducted using a human clinical isolate of S. aureus , the other utilizing isolates from cases of bovine mastitis 37 , 38 . However, it appears that no studies to date have specifically investigated the relationship between agr status and biofilm growth across multiple time points.…”

Section: Discussionmentioning

confidence: 99%

Nonconformity of biofilm formation in vivo and in vitro based on Staphylococcus aureus accessory gene regulator status

Jordan

Hall

Daly

2022

Sci Rep

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Staphylococcus aureus is an opportunistic, pathogenic bacteria that causes significant morbidity and mortality. As antibiotic resistance by S. aureus continues to be a serious concern, developing novel drug therapies to combat these infections is vital. Quorum sensing inhibitors (QSI) dampen S. aureus virulence and facilitate clearance by the host immune system by blocking quorum sensing signaling that promotes upregulation of virulence genes controlled by the accessory gene regulator (agr) operon. While QSIs have shown therapeutic promise in mouse models of S. aureus skin infection, their further development has been hampered by the suggestion that agr inhibition promotes biofilm formation. In these studies, we investigated the relationship between agr function and biofilm growth across various S. aureus strains and experimental conditions, including in a mouse model of implant-associated infection. We found that agr deletion was associated with the presence of increased biofilm only under narrow in vitro conditions and, crucially, was not associated with enhanced biofilm development or enhanced morbidity in vivo.

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Section: Discussionmentioning

confidence: 99%

Nonconformity of biofilm formation in vivo and in vitro based on Staphylococcus aureus accessory gene regulator status

Jordan

Hall

Daly

2022

Sci Rep

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“…Thus, the key proteins involved in A. veronii biofilm formation have significant importance. A total of 96 microporous culture plates were studied, and the crystal violet staining method was used to quantitatively analyze the bacterial biofilm formation, similar to previous studies [21][22][23]. Moreover, scanning electron microscopy can be used to directly observe the formation of bacterial biofilm, as has previously been carried out for Staphylococcus aureus and Escherichia coli biofilm [24][25][26].…”

Section: Discussionmentioning

confidence: 93%

“…pH was also shown to influence biofilm formation [22], and the results showed that A. veronii biofilm formation was significantly different at pH 6. Bacterial biofilm formation is complex and is affected by many factors [22,23]. To explore the different proteins involved in biofilm and planktonic state bacteria, an accurately constructed model of the biofilm state is key.…”

Section: Discussionmentioning

confidence: 99%

An iTRAQ-Based Comparative Proteomics Analysis of the Biofilm and Planktonic States of Aeromonas veronii TH0426

Li¹,

Yang²,

Tian³

et al. 2020

IJMS

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Aeromonas veronii is a virulent fish pathogen that causes extensive economic losses in the aquaculture industry worldwide. In this study, a virulent strain of A. veronii TH0426 was used to establish an in vitro biofilm model. The results show that the biofilm-forming abilities of A. veronii TH0426 were similar in different media, peaking under conditions of 20 °C and pH 6. Further, isobaric tags for relative and absolute quantitation (iTRAQ)-based quantitative proteomics methods were used to compare the differential expression of A. veronii between the biofilm and planktonic cells. The results show alterations in 277 proteins, with 130 being upregulated and 147 downregulated. Pathway analysis and GO (Gene Ontology) annotations indicated that these proteins are mainly involved in metabolic pathways and the biosynthesis of secondary metabolites and antibiotics. These proteins are the main factors affecting the adaptability of A. veronii to its external environment. MRM (multiple reaction 27 monitoring) and qPCR (qPCR) were used to verify the differential proteins of the selected A. veronii. This is the first report on the biofilm and planktonic cells of A. veronii, thus contributing to studying the infection and pathogenesis of A. veronii.

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“…ANN with a Levenberg-Marquardt training function was chosen in this study due to the good performance when being used as a feed-forward backpropagation network type [28]. This function also has a flexible and optimum layer and neuron number developed for the trained data, whether linear or non-linear approaches [29] (Eq. ( 2), Fig.…”

Section: Artificial Neural Networkmentioning

confidence: 99%

“…The ANN engine is developed using A Levenberg-Marquardt (LM) as the main function due to its ability, hidden neurons, and hidden layers that can be developed as a good ANN engine [27]. The Levenberg-Marquardt training function has a good performance when being used as a feed-forward backpropagation network type [28], with a flexible and optimum layer and neuron number developed for the trained data, whether linear or non-linear approaches [29].…”

Section: Introductionmentioning

confidence: 99%

A Study of Erythrocyte Deformation Level Related to Biomass Burning Emission Exposures Using Artificial Neural Networks

Hadi¹,

Wardoyo²,

Juswono³

et al. 2022

Pol. J. Environ. Stud.

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Emissions from burning biomass have become a problem in Indonesia. As found on the Indonesian island of Lombok, agricultural waste is burned for traditional industrial activities. On the other hand, biomass burning emissions contain many PMs (particulates) in different size distributions recognized to have a significant correlation to health impact. This study is conducted to predict the impact of the PM exposure on blood using a ANN (artificial neural network) model as well as a histological examination. The relationship between both methods is determined to estimate the impact of biomass burning emissions on the blood. This study used male mice as the experimental animals exposed to PM emissions (PM 0.1 , PM 2.5 , and PM 10 ) produced from the burning of various biomass (rice straw, rice husks, corn cobs, corn stalks, and tobacco) taken from Lombok Island. The sample exposure was conducted in a chamber for 100 s for ten sequence days. The blood samples were observed using a microscope with the 400 x magnification. The cell deformation was examined histologically by calculating the normal and abnormal cells. The percentage of the erythrocyte deformation was assessed using a fixed back and forth propagation ANN. The result shows that the biomass burning PM emissions have a significant impact on the erythrocyte deformation depending on the type of biomass and the particulate matter emissions. The ANN model confirms the erythrocyte deformation data obtained by the histological examination method.

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Application of artificial neural networks to describe the combined effect of pH, time, NaCl and ethanol concentrations on the biofilm formation of Staphylococcus aureus

Cited by 15 publications

References 47 publications

Nonconformity of biofilm formation in vivo and in vitro based on Staphylococcus aureus accessory gene regulator status

Nonconformity of biofilm formation in vivo and in vitro based on Staphylococcus aureus accessory gene regulator status

An iTRAQ-Based Comparative Proteomics Analysis of the Biofilm and Planktonic States of Aeromonas veronii TH0426

A Study of Erythrocyte Deformation Level Related to Biomass Burning Emission Exposures Using Artificial Neural Networks

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