In vivo assessment of differences in fungal cell density in cerebral cryptococcomas of mice infected with Cryptococcus neoformans or Cryptococcus gattii

Vanherp, Liesbeth; Poelmans, Jennifer; Govaerts, Kristof; Hillen, Amy; Lagrou, Katrien; Velde, Greetje Vande; Himmelreich, Uwe

doi:10.1016/j.micinf.2023.105127

Cited by 2 publications

(4 citation statements)

References 45 publications

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“…This peak is absent in a healthy brain or noninfectious lesions such as glioma ( 23 ). Additionally, a recent study found that cryptococcomas in the murine model exhibited a higher apparent diffusion coefficient (ADC) value and T1 and T2 relaxation times compared to the contralateral brain, and this has been confirmed in cryptococcomas caused by several of Cryptococcus neoformans varieties ( 24 ). High ADC values in human cerebral cryptococcomas have occasionally been reported ( 25 ).…”

Section: Discussionmentioning

confidence: 86%

Intracranial granulomatous inflammation caused by cryptococcal infection: a case study and literature analysis

Deng,

Xiao

2024

Quant Imaging Med Surg

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Section: Discussionmentioning

confidence: 86%

Intracranial granulomatous inflammation caused by cryptococcal infection: a case study and literature analysis

Deng,

Xiao

2024

Quant Imaging Med Surg

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“…This approach can be used repeatedly on the same animal without causing major tissue damage. In a model of cerebral cryptococcosis, FCFM was used in combination with parametric MRI to confirm capsule size differences in vivo [36].…”

Section: Optical Imagingmentioning

confidence: 99%

“…Using multiparametric maps, like the determination of apparent diffusion coefficients or relaxation times, allows for the quantification of water mobility and hereby assesses cell densities. This was used to compare the relative cell densities of lesions formed by CN and CG and, indirectly, the size of their capsules in vivo [36]. As the differential diagnosis of cerebral cryptococcoma from cystic gliomblastoma and brain abscesses based on radiological findings remains challenging [105,288], it is important to identify diagnostic markers.…”

Section: Magnetic Resonance Imaging and Spectroscopymentioning

confidence: 99%

“…In the final phase of the infection, the cryptococci exhibit neurotropism towards the central nervous system (CNS) [30,[32][33][34]. After crossing the blood-brain barrier (BBB), cryptococcal meningoencephalitis (CME) and/or cerebral mass lesion formation, called cryptococcomas, occurs [1,[35][36][37][38]. At this stage, the patients exhibit neurological sequelae such as, but not limited to, fever, altered mental status, meningeal irritation, headaches, lethargy, coma, and eventually death [1,39,40] (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

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Preclinical Models for Cryptococcosis of the CNS and Their Characterization Using In Vivo Imaging Techniques

Roosen,

Maes,

Musetta

et al. 2024

JoF

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Infections caused by Cryptococcus neoformans and Cryptococcus gattii remain a challenge to our healthcare systems as they are still difficult to treat. In order to improve treatment success, in particular for infections that have disseminated to the central nervous system, a better understanding of the disease is needed, addressing questions like how it evolves from a pulmonary to a brain disease and how novel treatment approaches can be developed and validated. This requires not only clinical research and research on the microorganisms in a laboratory environment but also preclinical models in order to study cryptococci in the host. We provide an overview of available preclinical models, with particular emphasis on models of cryptococcosis in rodents. In order to further improve the characterization of rodent models, in particular the dynamic aspects of disease manifestation, development, and ultimate treatment, preclinical in vivo imaging methods are increasingly used, mainly in research for oncological, neurological, and cardiac diseases. In vivo imaging applications for fungal infections are rather sparse. A second aspect of this review is how research on models of cryptococcosis can benefit from in vivo imaging methods that not only provide information on morphology and tissue structure but also on function, metabolism, and cellular properties in a non-invasive way.

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In vivo assessment of differences in fungal cell density in cerebral cryptococcomas of mice infected with Cryptococcus neoformans or Cryptococcus gattii

Cited by 2 publications

References 45 publications

Intracranial granulomatous inflammation caused by cryptococcal infection: a case study and literature analysis

Intracranial granulomatous inflammation caused by cryptococcal infection: a case study and literature analysis

Preclinical Models for Cryptococcosis of the CNS and Their Characterization Using In Vivo Imaging Techniques

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