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

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

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

Bibliographic record

VenuePLoS Pathogens · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYersinia bacterium, plague, ectoparasites research
Canadian institutionsUniversity of British ColumbiaCanada's Michael Smith Genome Sciences Centre
FundersCanadian Institutes of Health ResearchUniversity of British ColumbiaCrohn's and Colitis Foundation of CanadaHoward Hughes Medical Institute
KeywordsVirulenceVirulence factorPathogenesisMicrobiologyHost (biology)BiologyHost factorsHost factorStereotype (UML)Mechanism (biology)ImmunologyGeneticsGenePsychologySocial psychologyVirus

Abstract

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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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.245
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations15
Published2010
Admission routes2
Has abstractyes

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