Computational Modeling of Microabscess Formation

Pigozzo, Alexandre Bittencourt; Macedo, Gilson Costa; Santos, Rodrigo Weber dos; Lobosco, Marcelo

doi:10.1155/2012/736394

Cited by 14 publications

(9 citation statements)

References 51 publications

(53 reference statements)

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“…In our previous paper (Pigozzo et al, 2012 ), we were capable of reproducing the initial formation of an abscess, but the abscess pattern did not remain stable. One possible explanation is the fact that S. aureus abscesses are encapsulated within a fibrin capsule triggered upon secretion of two coagulases, Coa and vWbp (Cheng et al, 2010 ; McAdow et al, 2012 ), which were not modeled in our previous paper.…”

Section: Introductionmentioning

confidence: 77%

Development of a Computational Model of Abscess Formation

et al. 2018

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In some bacterial infections, the immune system cannot eliminate the invading pathogen. In these cases, the invading pathogen is successful in establishing a favorable environment to survive and persist in the host organism. For example, S. aureus bacteria survive in organ tissues employing a set of mechanisms that work in a coordinated and highly regulated way allowing: (1) efficient impairment of the immune response; and (2) protection from the immune cells and molecules. S. aureus secretes several proteins including coagulases and toxins that drive abscess formation and persistence. Unless staphylococcal abscesses are surgically drained and treated with antibiotics, disseminated infection and septicemia produce a lethal outcome. Within this context, this paper develops a simple mathematical model of abscess formation incorporating characteristics that we judge important for an abscess to be formed. Our aim is to build a mathematical model that reproduces some characteristics and behaviors that are observed in the process of abscess formation.

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Section: Introductionmentioning

confidence: 77%

Development of a Computational Model of Abscess Formation

et al. 2018

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“…The histopathological analyses revealed the C. albicans caused the formation of microabscess as a result of the immune system response [50], through the activation of neutrophils [51]. In the uninfected control group, normal vaginal tissue was observed, with no signs of infection.…”

Section: Discussionmentioning

confidence: 96%

Investigation of thiosemicarbazide free or within chitosan nanoparticles in a murine model of vulvovaginal candidiasis

et al. 2020

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Vulvovaginal candidiasis is a serious health problem affecting numerous women around the world. Its treatment is based on antifungals which may not provide an effective cure because of the resistance presented by its etiological pathogens Candida spp. Candida albicans is the most prevalent species related to vulvovaginal candidiasis. Here, we evaluated the in vivo antifungal potential of thiosemicarbazide and thiosemicarbazide encapsulated within chitosan nanoparticles in a murine model of vulvovaginal candidiasis. The results demonstrated the antifungal capacity of free or nanoencapsulated thiosemicarbazide within chitosan to reduce the fungal load in the vaginal tissue of infected mice. In addition, histological analyses indicated the absence or a mild to moderate infection in thiosemicarbazide-treated groups. Statistical tests confirmed the existence of significant differences between the treated and the control groups. Therefore, our results suggest a potential application of thiosemicarbazide and encapsulated thiosemicarbazide as an alternative vulvovaginal candidiasis therapy.

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“…This level of organization has the within-tissue scale and betweentissue scale as its microscale and macroscale respectively. The different types of tissues that can be considered in the development of multiscale models of infectious disease systems include granuloma [7] for tuberculosis or microabscess [8] caused by some bacterial infections. Multiscale models of infectious disease systems at this level of organization are developed using the tissue level (for which the within-tissue scale and the between-tissue scale are the microscale and the macroscale) as the level of multiscale PLOS COMPUTATIONAL BIOLOGY observation with the (i) within-organ scale, or (ii) within-host scale as the scale of analysis.…”

Section: B the Tissue Level (Tl)mentioning

confidence: 99%

The research and development process for multiscale models of infectious disease systems

Garira

2020

PLoS Comput Biol

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Multiscale modelling of infectious disease systems falls within the domain of complexity science-the study of complex systems. However, what should be made clear is that current progress in multiscale modelling of infectious disease dynamics is still as yet insufficient to present it as a mature sub-discipline of complexity science. In this article we present a methodology for development of multiscale models of infectious disease systems. This methodology is a set of partially ordered research and development activities that result in multiscale models of infectious disease systems built from different scientific approaches. Therefore, the conclusive result of this article is a methodology to design multiscale models of infectious diseases. Although this research and development process for multiscale models cannot be claimed to be unique and final, it constitutes a good starting point, which may be found useful as a basis for further refinement in the discourse for multiscale modelling of infectious disease dynamics.

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Computational Modeling of Microabscess Formation

Cited by 14 publications

References 51 publications

Development of a Computational Model of Abscess Formation

Development of a Computational Model of Abscess Formation

Investigation of thiosemicarbazide free or within chitosan nanoparticles in a murine model of vulvovaginal candidiasis

The research and development process for multiscale models of infectious disease systems

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