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Enregistrement W1983282440 · doi:10.1371/journal.ppat.1001057

Breaking the Stereotype: Virulence Factor–Mediated Protection of Host Cells in Bacterial Pathogenesis

2010· article· en· W1983282440 sur OpenAlexafffund
Stephanie R. Shames, B. Brett Finlay

Notice bibliographique

RevuePLoS Pathogens · 2010
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueYersinia bacterium, plague, ectoparasites research
Établissements canadiensUniversity of British ColumbiaCanada's Michael Smith Genome Sciences Centre
Organismes subventionnairesCanadian Institutes of Health ResearchUniversity of British ColumbiaCrohn's and Colitis Foundation of CanadaHoward Hughes Medical Institute
Mots-clésVirulenceVirulence factorPathogenesisMicrobiologyHost (biology)BiologyHost factorsHost factorStereotype (UML)Mechanism (biology)ImmunologyGeneticsGenePsychologySocial psychologyVirus

Résumé

récupéré en direct d'OpenAlex

Bacterial pathogens have evolved extraordinary mechanisms to efficiently infect host organisms. A majority of these pathogens do so by delivering virulence factors into host cells, which act to dampen host defenses or utilize the host as a niche for replication. Although regulation of virulence factor expression by bacterial pathogens is a well known pathogenic mechanism [1], the concept of host-protective virulence factors is emerging. Recently, several strategies by which pathogens appear to be attenuating their own lethality towards host cells have been documented, suggesting that increased hostility and damage of host cells is not necessarily beneficial to the pathogen. Virulence is often defined as the ability of a pathogen to inflict damage on host cells, and the following discussion addresses the concept that increased virulence is not always beneficial to the pathogen, and moderating it to preserve host cells is a mechanism several pathogens use as part of their overall pathogenic strategy. This strategy is well known for obligate intracellular pathogens, but has become an emerging theme in extracellular and facultative intracellular bacteria. Yersinia spp., Shigella flexneri, Helicobacter pylori, and diarrheagenic Escherichia coli are well known for their ability to kill host cells. For Yersinia, death of infected macrophages dampens cytokine release and enables the pathogen to propagate with minimal challenges from the immune system [2]. Two recent studies suggest that cytotoxicity caused by Yersinia species is tightly regulated. Yersinia pestis, the etiologic agent of plague, and gastroenteritis-inducing Yersinia pseudotuberculosis and Yersinia enterocolitica all encode a cytotoxic virulence factor called YopJ/P (YopJ in the two former species and YopP in the latter), which are translocated into infected cells via a type III secretion system (T3SS) [2], [3]. Altering the cytotoxicity of Y. pseudotuberculosis affects its virulence. Decreased secretion of YopJ was shown to enhance Y. pseudotuberculosis pathogenesis in vivo [4]. Similarly for Y. pestis, enhanced cytotoxicity results in decreased incidence of pneumonic plague in vivo [5]. Tight regulation of cytotoxicity by pathogenic Yersinia is an efficient virulence strategy. Increased apoptosis of infected immune cells decreases production of proinflammatory cytokines; however, some inflammation at the early stages of infection is thought to facilitate tissue damage necessary for movement of bacteria and infected cells to other sites of replication within the host [4]. Enteropathogenic Escherichia coli, enterohaemorrhagic E. coli (EPEC and EHEC, respectively), and Citrobacter rodentium are attaching and effacing (A/E) pathogens that cause severe diarrheagenic disease [6]. The ability of A/E pathogens to kill intestinal epithelial cells has been well documented [7]–[14]. The type III secreted (T3S) effector EspF has a role in host cell death by causing mitochondrial-dependent apoptosis [11], [15]. We recently found that the T3S effector EspZ modulates cytotoxicity towards host cells. An EPEC espZ mutant (ΔespZ) caused enhanced cytotoxicity in host cells when compared to the wild-type strain [16], which was surprising since the ΔespZ strain is severely attenuated for virulence in vivo [17]. EspZ acts in part through the host transmembrane glycoprotein CD98 to activate focal adhesion kinase (FAK)-based survival pathways (Figure 1) [16]. Others found that the T3S effector NleH also dampens apoptosis of EPEC-infected cells, but via interaction with a Bcl-2-related protein involved in the mitochondrial death pathway (Figure 1) [18]. Unlike EspZ, NleH is not essential for EPEC colonization and only moderately impacts on A/E pathogen disease in vivo [19], [20]; however, there are likely other host-protective virulence factors that act redundantly to NleH during EPEC infection. Figure 1 Strategies evolved by bacterial pathogens to restrain virulence. H. pylori causes apoptosis of infected gastric epithelial cells [21]. Apoptosis induction by H. pylori has been linked to a secreted toxin called VacA, which induces cytochrome c release from mitochondria (Figure 1) [22]. Recently, it was determined that VacA-mediated apoptosis is counteracted by a type IV secreted (T4S) protein called CagA by both blocking pinocytosis of VacA and inhibiting VacA-mediated cytochrome c release from mitochondria [23] (Figure 1). Interestingly, loss of CagA in a VacA+ H. pylori strain decreases bacterial colonization and the incidence of gastric hyperplasia, adenocarcinoma, and inflammation [24]. Similar to the aforementioned pathogens, H. pylori has evolved a delicate interplay between host-protective and -detrimental virulence factors that are able to fine-tune virulence while promoting their propagation. S. flexneri, the etiologic agent of bacilliary dysentery, causes death of infected macrophages and epithelial cells [25]. Despite this, several host-protective strategies are employed by S. flexneri. The T3S effector OspE was recently found to enhance adhesion of infected host cells to the underlying extracellular matrix [26]. Whether OspE activates host cell survival pathways directly is unknown; however, its interaction with integrin-linked kinase inhibits sloughing of infected cells into the intestinal lumen [26], consequently preventing anoikis of Shigella-infected cells. An ospE mutant does not colonize as efficiently as wild-type S. flexneri in vivo; thus, OspE may enhance colonization by preventing premature release of infected cells [26]. Epithelial cells succumb to S. flexneri infection via necrotic cell death, which functions to release intracellular bacteria and enhance inflammation [25]. Interestingly, survival pathways involving Rip2/IKKβ/NFκB are activated early during infection, followed by mitochondrial dysfunction and necrotic cell death (Figure 1) [25]. The early expression of pro-survival genes may enable S. flexneri to postpone cell death in a similar manner to EPEC, thus ensuring greater bacterial load prior to dissemination. The mechanism(s) by which S. flexneri enhances NFκB-mediated pro-survival signals are unknown. All of the above pathogens have evolved strategies to attenuate their own host-damaging virulence factors. In many of these scenarios, removal of host-protective mediators actually reduces pathogenicity of the bacteria. The observation that EPEC encodes a host-protective virulence factor that is essential for its pathogenesis suggests that protecting host cells may be a key to the pathogenic strategies of other bacterial pathogens. The concept of host-protective virulence factors is only just emerging, and we believe host-protective virulence factors will become more apparent in other pathogenic strategies and may become interesting targets to combat bacterial disease. Importantly, virulence phenotypes that appear counterintuitive should not be ignored. Future studies into pathogenic mechanisms of virulent bacteria will likely reveal important roles for effectors or regulatory mechanisms that help the host cell and promote bacterial pathogenesis.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,138
Score d'incertitude au seuil0,609

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,017
Tête enseignante GPT0,245
Écart entre enseignants0,228 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations15
Publié2010
Routes d'admission2
Résumé présentoui

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