Multikingdom microscale models

Barkal, Layla J.; Theberge, Ashleigh B.; Keller, Nancy P.; Beebe, David J.

doi:10.1371/journal.ppat.1006424

Cited by 8 publications

(9 citation statements)

References 28 publications

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“…We need to adapt our models to explore better the complex and continuous interactions between adaptive and innate immunity. New three-dimensional in vitro approaches involving multiple cell types could be very useful for this purpose [ 41 ]. Also, the larval zebrafish model, a very useful tool for studying innate immunity, can be taken out to later stages in which adaptive immunity is present [ 11 ].…”

Section: Key Points and Future Directionsmentioning

confidence: 99%

The granuloma in cryptococcal disease

Ristow

Davis

2021

PLoS Pathog

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Although we have recognized cryptococcosis as a disease entity for well over 100 years, there are many details about its pathogenesis which remain unknown. A major barrier to better understanding is the very broad range of clinical and pathological forms cryptococcal infections can take. One such form has been historically called the cryptococcal granuloma, or the cryptococcoma. These words have been used to describe essentially any mass lesion associated with infection, due to their presumed similarity to the quintessential granuloma, the tubercle in tuberculosis. Although clear distinctions between tuberculosis and cryptococcal disease have been discovered, cellular and molecular studies still confirm some important parallels between these 2 diseases and what we now call granulomatous inflammation. In this review, we shall sketch out some of the history behind the term “granuloma” as it pertains to cryptococcal disease, explore our current understanding of the biology of granuloma formation, and try to place that understanding in the context of the myriad pathological presentations of this infection. Finally, we shall summarize the role of the granuloma in cryptococcal latency and present opportunities for future investigations.

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Section: Key Points and Future Directionsmentioning

confidence: 99%

The granuloma in cryptococcal disease

Ristow

Davis

2021

PLoS Pathog

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“…Vascular networks can be hijacked by tumor cells via angiogenic signaling, which can enable cancer cell metastasis. Furthermore, many alterations can occur upon bacterial intracellular invasion that could contribute to tumor formation (figure panels adopted from Barkal et al, 2017).…”

Section: D and 25d Modelsmentioning

confidence: 99%

Harnessing Tissue Engineering Tools to Interrogate Host-Microbiota Crosstalk in Cancer

et al. 2020

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Recent studies have begun to highlight the diverse and tumor-specific microbiomes across multiple cancer types. We believe this work raises the important question of whether the classical ''Hallmarks of Cancer'' should be expanded to include tumor microbiomes. To answer this question, the causal relationships and co-evolution of these microbiotic tumor ecosystems must be better understood. Because host-microbe interactions should be studied in a physiologically relevant context, animal models have been preferred. Yet these models are often poor mimics of human tumors and are difficult to interrogate at high spatiotemporal resolution. We believe that in vitro tissue engineered platforms could provide a powerful alternative approach that combines the high-resolution of in vitro studies with a high degree of physiological relevance. This review will focus on tissue engineered approaches to study host-microbe interactions and to establish their role as an emerging hallmark of cancer with potential as a therapeutic target.

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“…The role of cross-talk in pulmonary infections is beginning to be more understood as new analytical methods enable the examination of the cellular secretome ( 197 – 199 ) and novel in vitro lung tissue models facilitate scrutiny of the role of complex microenvironment conditions on lung pathology ( 178 , 189 , 200 – 202 ). Recapitulating lung tissue in vitro is challenging due to the complexity of the organ, which contains various components such as an air-exposed epithelium, a structurally intrinsic extracellular matrix, a complex vasculature network, and a myriad of immune components ( 203 ) ( Figure 1 ), as well as a unique microbiome that contributes to the exchange of chemical signals in this microenvironment ( 6 , 204 , 205 ).…”

Section: Modeling Pulmonary Infections and Cross-talkmentioning

confidence: 99%

“…Recapitulating lung tissue in vitro is challenging due to the complexity of the organ, which contains various components such as an air-exposed epithelium, a structurally intrinsic extracellular matrix, a complex vasculature network, and a myriad of immune components ( 203 ) ( Figure 1 ), as well as a unique microbiome that contributes to the exchange of chemical signals in this microenvironment ( 6 , 204 , 205 ). The airway itself varies in shape and size, transitioning from the bronchi to bronchioles to the alveoli, reflecting a change in function from a conducting section to a gas exchange section ( 200 , 202 , 206 ), as well as regional differences in cell phenotypes and histology. For example, the small airways are lined with pseudostratified columnar ciliated epithelium with interspersed mucin secreting goblet cells; these features are functionally equipped to generate and move mucus, an important immune defense against extracellular microbes ( 136 , 207 , 208 ).…”

Section: Modeling Pulmonary Infections and Cross-talkmentioning

confidence: 99%

“…Moreover, the ability to shape hydrogels or create microscale compartments offers spatial control of different cell types that have varying levels of communication with each other from diffusion-based signaling to volatile signaling ( 178 , 188 , 221 , 226 ). Finally, microfabrication techniques enable microscale culture dimensions and volumes, thus requiring the use of fewer cells than a traditional macroscale (e.g., well-plate) approach ( 202 , 211 , 249 , 250 ).…”

Section: Microfluidic and Microfabricated In Vitro mentioning

confidence: 99%

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Host and Pathogen Communication in the Respiratory Tract: Mechanisms and Models of a Complex Signaling Microenvironment

et al. 2020

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Chronic lung diseases are a leading cause of morbidity and mortality across the globe, encompassing a diverse range of conditions from infections with pathogenic microorganisms to underlying genetic disorders. The respiratory tract represents an active interface with the external environment having the primary immune function of resisting pathogen intrusion and maintaining homeostasis in response to the myriad of stimuli encountered within its microenvironment. To perform these vital functions and prevent lung disorders, a chemical and biological cross-talk occurs in the complex milieu of the lung that mediates and regulates the numerous cellular processes contributing to lung health. In this review, we will focus on the role of cross-talk in chronic lung infections, and discuss how different cell types and signaling pathways contribute to the chronicity of infection(s) and prevent effective immune clearance of pathogens. In the lung microenvironment, pathogens have developed the capacity to evade mucosal immunity using different mechanisms or virulence factors, leading to colonization and infection of the host; such mechanisms include the release of soluble and volatile factors, as well as contact dependent (juxtracrine) interactions. We explore the diverse modes of communication between the host and pathogen in the lung tissue milieu in the context of chronic lung infections. Lastly, we review current methods and approaches used to model and study these host-pathogen interactions in vitro, and the role of these technological platforms in advancing our knowledge about chronic lung diseases.

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Multikingdom microscale models

Cited by 8 publications

References 28 publications

The granuloma in cryptococcal disease

The granuloma in cryptococcal disease

Harnessing Tissue Engineering Tools to Interrogate Host-Microbiota Crosstalk in Cancer

Host and Pathogen Communication in the Respiratory Tract: Mechanisms and Models of a Complex Signaling Microenvironment

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