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1.
mBio ; 15(4): e0307823, 2024 Apr 10.
Artículo en Inglés | MEDLINE | ID: mdl-38511961

RESUMEN

Cryptococcus neoformans causes lethal meningitis and accounts for approximately 10%-15% of AIDS-associated deaths worldwide. There are major gaps in our understanding of how this fungus invades the mammalian brain. To investigate the dynamics of C. neoformans tissue invasion, we mapped fungal localization and host cell interactions in infected brain, lung, and upper airways using mouse models of systemic and airway infection. To enable this, we developed an in situ imaging pipeline capable of measuring large volumes of tissue while preserving anatomical and cellular information by combining thick tissue sections, tissue clarification, and confocal imaging. We confirm high fungal burden in mouse upper airway after nasal inoculation. Yeast in turbinates were frequently titan cells, with faster kinetics than reported in mouse lungs. Importantly, we observed one instance of fungal cells enmeshed in lamina propria of the upper airways, suggesting penetration of airway mucosa as a possible route of tissue invasion and dissemination to the bloodstream. We extend previous literature positing bloodstream dissemination of C. neoformans, by finding viable fungi in the bloodstream of mice a few days after intranasal infection. As early as 24 h post systemic infection, the majority of C. neoformans cells traversed the blood-brain barrier, and were engulfed or in close proximity to microglia. Our work presents a new method for investigating microbial invasion, establishes that C. neoformans can breach multiple tissue barriers within the first days of infection, and demonstrates microglia as the first cells responding to C. neoformans invasion of the brain.IMPORTANCECryptococcal meningitis causes 10%-15% of AIDS-associated deaths globally. Still, brain-specific immunity to cryptococci is a conundrum. By employing innovative imaging, this study reveals what occurs during the first days of infection in brain and in airways. We found that titan cells predominate in upper airways and that cryptococci breach the upper airway mucosa, which implies that, at least in mice, the upper airways are a site for fungal dissemination. This would signify that mucosal immunity of the upper airway needs to be better understood. Importantly, we also show that microglia, the brain-resident macrophages, are the first responders to infection, and microglia clusters are formed surrounding cryptococci. This study opens the field to detailed molecular investigations on airway immune response, how fungus traverses the blood-brain barrier, how microglia respond to infection, and ultimately how microglia monitor the blood-brain barrier to preserve brain function.


Asunto(s)
Síndrome de Inmunodeficiencia Adquirida , Criptococosis , Cryptococcus neoformans , Meningitis , Ratones , Animales , Microglía , Criptococosis/microbiología , Encéfalo/microbiología , Mamíferos
2.
bioRxiv ; 2023 Nov 14.
Artículo en Inglés | MEDLINE | ID: mdl-38014111

RESUMEN

The fungus Cryptococcus neoformans causes lethal meningitis in humans with weakened immune systems and is estimated to account for 10-15% of AIDS-associated deaths worldwide. There are major gaps in our understanding of how this environmental fungus evades the immune system and invades the mammalian brain before the onset of overt symptoms. To investigate the dynamics of C. neoformans tissue invasion, we mapped early fungal localisation and host cell interactions at early times in infected brain, lung, and upper airways using mouse models of systemic and airway infection. To enable this, we developed an in situ imaging pipeline capable of measuring large volumes of tissue while preserving anatomical and cellular information by combining thick tissue sections, tissue clarification, and confocal imaging. Made possible by these techniques, we confirm high fungal burden in mouse upper airway turbinates after nasal inoculation. Surprisingly, most yeasts in turbinates were titan cells, indicating this microenvironment enables titan cell formation with faster kinetics than reported in mouse lungs. Importantly, we observed one instance of fungal cells enmeshed in lamina propria of upper airways, suggesting penetration of airway mucosa as a possible route of tissue invasion and dissemination to the bloodstream. We extend previous literature positing bloodstream dissemination of C. neoformans, via imaging C. neoformans within blood vessels of mouse lungs and finding viable fungi in the bloodstream of mice a few days after intranasal infection, suggesting that bloodstream access can occur via lung alveoli. In a model of systemic cryptococcosis, we show that as early as 24 h post infection, majority of C. neoformans cells traversed the blood-brain barrier, and are engulfed or in close proximity to microglia. Our work establishes that C. neoformans can breach multiple tissue barriers within the first days of infection. This work presents a new method for investigating cryptococcal invasion mechanisms and demonstrates microglia as the primary cells responding to C. neoformans invasion.

3.
Structure ; 30(9): 1285-1297.e5, 2022 09 01.
Artículo en Inglés | MEDLINE | ID: mdl-35767996

RESUMEN

Virulence in Pseudomonas aeruginosa (PA) depends on complex regulatory networks, involving phosphorelay systems based on two-component systems (TCSs). The GacS/GacA TCS is a master regulator of biofilm formation, swarming motility, and virulence. GacS is a membrane-associated unorthodox histidine kinase (HK) whose phosphorelay signaling pathway is inhibited by the RetS hybrid HK. Here we provide structural and functional insights into the interaction of GacS with RetS. The structure of the GacS-HAMP-H1 cytoplasmic regions reveals an unusually elongated homodimer marked by a 135 Å long helical bundle formed by the HAMP, the signaling helix (S helix) and the DHp subdomain. The HAMP and S helix regions are essential for GacS signaling and contribute to the GacS/RetS binding interface. The structure of the GacS D1 domain together with the discovery of an unidentified functional ND domain, essential for GacS full autokinase activity, unveils signature motifs in GacS required for its atypical autokinase mechanism.


Asunto(s)
Regulación Bacteriana de la Expresión Génica , Pseudomonas aeruginosa , Proteínas Bacterianas/química , Histidina Quinasa/química , Pseudomonas aeruginosa/metabolismo , Virulencia
4.
Adv Microb Physiol ; 79: 25-88, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34836612

RESUMEN

Toward the end of August 2000, the 6.3 Mbp whole genome sequence of Pseudomonas aeruginosa strain PAO1 was published. With 5570 open reading frames (ORFs), PAO1 had the largest microbial genome sequenced up to that point in time-including a large proportion of metabolic, transport and antimicrobial resistance genes supporting its ability to colonize diverse environments. A remarkable 9% of its ORFs were predicted to encode proteins with regulatory functions, providing new insight into bacterial network complexity as a function of network size. In this celebratory article, we fast forward 20 years, and examine how access to this resource has transformed our understanding of P. aeruginosa. What follows is more than a simple review or commentary; we have specifically asked some of the leaders in the field to provide personal reflections on how the PAO1 genome sequence, along with the Pseudomonas Community Annotation Project (PseudoCAP) and Pseudomonas Genome Database (pseudomonas.com), have contributed to the many exciting discoveries in this field. In addition to bringing us all up to date with the latest developments, we also ask our contributors to speculate on how the next 20 years of Pseudomonas research might pan out.


Asunto(s)
Genoma Bacteriano , Pseudomonas aeruginosa , Aniversarios y Eventos Especiales , Humanos , Sistemas de Lectura Abierta , Infecciones por Pseudomonas , Pseudomonas aeruginosa/genética
5.
Annu Rev Microbiol ; 73: 199-223, 2019 09 08.
Artículo en Inglés | MEDLINE | ID: mdl-31112439

RESUMEN

Bacteria depend on two-component systems to detect and respond to threats. Simple pathways comprise a single sensor kinase (SK) that detects a signal and activates a response regulator protein to mediate an appropriate output. These simple pathways with only a single SK are not well suited to making complex decisions where multiple different stimuli need to be evaluated. A recently emerging theme is the existence of multikinase networks (MKNs) where multiple SKs collaborate to detect and integrate numerous different signals to regulate a major lifestyle switch, e.g., between virulence, sporulation, biofilm formation, and cell division. In this review, the role of MKNs and the phosphosignaling mechanisms underpinning their signal integration and decision making are explored.


Asunto(s)
Bacterias/enzimología , Redes Reguladoras de Genes , Histidina Quinasa/metabolismo , Transducción de Señal , Estrés Fisiológico
6.
Sci Rep ; 9(1): 5007, 2019 03 21.
Artículo en Inglés | MEDLINE | ID: mdl-30899045

RESUMEN

Bdellovibrio bacteriovorus is a predatory deltaproteobacterium that encounters individual Gram-negative prey bacteria with gliding or swimming motility, and then is able to invade such prey cells via type IVa pilus-dependent mechanisms. Movement control (pili or gliding) in other deltaproteobacteria, such as the pack hunting Myxococcus xanthus, uses a response regulator protein, RomRMx (which dynamically relocalises between the cell poles) and a GTPase, MglAMx, previously postulated as an interface between the FrzMx chemosensory system and gliding or pilus-motility apparatus, to produce regulated bidirectional motility. In contrast, B. bacteriovorus predation is a more singular encounter between a lone predator and prey; contact is always via the piliated, non-flagellar pole of the predator, involving MglABd, but no Frz system. In this new study, tracking fluorescent RomRBd microscopically during predatory growth shows that it does not dynamically relocalise, in contrast to the M. xanthus protein; instead having possible roles in growth events. Furthermore, transcriptional start analysis, site-directed mutagenesis and bacterial two-hybrid interaction studies, indicate an evolutionary loss of RomRBd activation (via receiver domain phosphorylation) in this lone hunting bacterium, demonstrating divergence from its bipolar role in motility in pack-hunting M. xanthus and further evolution that may differentiate lone from pack predators.


Asunto(s)
Proteínas Bacterianas/genética , Bdellovibrio bacteriovorus/genética , Fimbrias Bacterianas/genética , GTP Fosfohidrolasas/genética , Movimiento Celular/genética , Regulación Bacteriana de la Expresión Génica/genética
7.
Nat Commun ; 9(1): 2219, 2018 06 07.
Artículo en Inglés | MEDLINE | ID: mdl-29880803

RESUMEN

Bacteria and many non-metazoan Eukaryotes respond to stresses and threats using two-component systems (TCSs) comprising sensor kinases (SKs) and response regulators (RRs). Multikinase networks, where multiple SKs work together, detect and integrate different signals to control important lifestyle decisions such as sporulation and virulence. Here, we study interactions between two SKs from Pseudomonas aeruginosa, GacS and RetS, which control the switch between acute and chronic virulence. We demonstrate three mechanisms by which RetS attenuates GacS signalling: RetS takes phosphoryl groups from GacS-P; RetS has transmitter phosphatase activity against the receiver domain of GacS-P; and RetS inhibits GacS autophosphorylation. These mechanisms play important roles in vivo and during infection, and exemplify an unprecedented degree of signal processing by SKs that may be exploited in other multikinase networks.


Asunto(s)
Proteínas Bacterianas/metabolismo , Fosfotransferasas/metabolismo , Mapas de Interacción de Proteínas/fisiología , Pseudomonas aeruginosa/patogenicidad , Factores de Virulencia/metabolismo , Animales , Antibacterianos/uso terapéutico , Modelos Animales de Enfermedad , Femenino , Humanos , Ratones , Ratones Endogámicos BALB C , Mariposas Nocturnas , Fosforilación/fisiología , Dominios Proteicos/fisiología , Infecciones por Pseudomonas/tratamiento farmacológico , Infecciones por Pseudomonas/microbiología , Infecciones por Pseudomonas/mortalidad , Pseudomonas aeruginosa/fisiología , Transducción de Señal/fisiología , Virulencia/fisiología
8.
FEMS Microbiol Lett ; 364(11)2017 06 15.
Artículo en Inglés | MEDLINE | ID: mdl-28510688

RESUMEN

Pseudomonas aeruginosa is a versatile opportunistic pathogen capable of infecting a broad range of hosts, in addition to thriving in a broad range of environmental conditions outside of hosts. With this versatility comes the need to tightly regulate its genome to optimise its gene expression and behaviour to the prevailing conditions. Two-component systems (TCSs) comprising sensor kinases and response regulators play a major role in this regulation. This minireview discusses the growing number of TCSs that have been implicated in the virulence of P. aeruginosa, with a special focus on the emerging theme of multikinase networks, which are networks comprising multiple sensor kinases working together, sensing and integrating multiple signals to decide upon the best response. The networks covered in depth regulate processes such as the switch between acute and chronic virulence (GacS network), the Cup fimbriae (Roc network and Rcs/Pvr network), the aminoarabinose modification of lipopolysaccharide (a network involving the PhoQP and PmrBA TCSs), twitching motility and virulence (a network formed from the Chp chemosensory pathway and the FimS/AlgR TCS), and biofilm formation (Wsp chemosensory pathway). In addition, we highlight the important interfaces between these systems and secondary messenger signals such as cAMP and c-di-GMP.


Asunto(s)
Proteínas Bacterianas/metabolismo , Regulación Bacteriana de la Expresión Génica , Genes Bacterianos , Pseudomonas aeruginosa/patogenicidad , Factores de Virulencia/metabolismo , Arabinosa/análogos & derivados , Arabinosa/genética , Arabinosa/metabolismo , Proteínas Bacterianas/genética , AMP Cíclico/genética , AMP Cíclico/metabolismo , GMP Cíclico/análogos & derivados , GMP Cíclico/genética , GMP Cíclico/metabolismo , Fimbrias Bacterianas/genética , Fimbrias Bacterianas/metabolismo , Lipopolisacáridos/metabolismo , Pseudomonas aeruginosa/genética , Factores de Virulencia/genética
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