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Enregistrement W2230119608 · doi:10.1093/cid/ciu388

Editorial Commentary: How Can Understanding the Phenotype of Pseudomonas aeruginosa Lead to More Successful Eradication Strategies in Cystic Fibrosis?

2014· editorial· en· W2230119608 sur OpenAlexaffabout
V. Waters

Notice bibliographique

RevueClinical Infectious Diseases · 2014
Typeeditorial
Langueen
DomaineMedicine
ThématiqueCystic Fibrosis Research Advances
Établissements canadiensSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésCystic fibrosisMedicinePseudomonas aeruginosaPhenotypeIntensive care medicineMicrobiologyInternal medicineBacteriaGeneticsBiology

Résumé

récupéré en direct d'OpenAlex

(See the Major Article by Mayer-Hamblett et al on pages 624–31.) As children with cystic fibrosis (CF) age, an increasing number are infected with Pseudomonas aeruginosa in their lungs. Persistent, mucoid P. aeruginosa pulmonary infection is associated with more rapid lung function decline and increased mortality in CF [1–3]. The standard of care is therefore to try to eradicate new P. aeruginosa acquisition, usually with inhaled tobramycin treatment, to prevent its long-term deleterious effects [4, 5]. However, in 10%–40% of patients, eradication treatment fails [6, 7]. The reasons for these failures are poorly understood. The in-depth study by Mayer-Hamblett et al in this issue of Clinical Infectious Diseases sheds some light on the subject. Using a cross-sectional cohort study design that elegantly leverages the large number of first-time P. aeruginosa isolates collected as part of the Early Pseudomonas Infection Control (EPIC) trial, the authors identified wrinkly colony surface and irregular colony edges as P. aeruginosa phenotypes independently associated with eradication failure. These 2 colony phenotypes have previously been associated with altered quorum sensing and increased biofilm formation [8, 9]. A surprising number of baseline isolates were also mucoid and had defects in motility and protease production, reflecting more of a chronic, adapted CF strain, rather than an initial, presumably environmentally acquired strain, which typically possesses the virulence factors frequently seen with acute infections. These findings are consistent with those of a previous study of 92 initial infecting P. aeruginosa isolates from children diagnosed with CF by newborn screening; in a multivariate regression model, persistent strains showed significantly lower pyoverdine, rhamnolipid, hemolysin, total protease, and swimming and twitching motility compared with strains successfully eradicated by aggressive antibiotic treatment [10]. Outside of early eradication and newborn screening studies, it is difficult to obtain large collections of initial P. aeruginosa isolates given the unpredictable nature of first-time P. aeruginosa colonization in CF. Unlike other studies that were limited by a small number of isolates [11], the study by Mayer-Hamblett et al was able to identify bacterial characteristics significantly associated with eradication failure because they had the largest published collection to date (N = 284). The natural question arising from these results is why are some children with CF infected with P. aeruginosa isolates that have a chronic phenotype? It is unlikely that certain environmental strains have this specific phenotype, as it is known to occur as an adaptation to the CF lung environment [12]. It is possible that the initial P. aeruginosa infection occurred a significant time period prior to first detection, especially given that, according to this trial design, there could have been an interval of up to 12 months since the last P. aeruginosa–negative respiratory tract culture [13]. Longitudinal cohort studies have shown that P. aeruginosa antibody titers can rise, indicative of infection, up to 12 months prior to first-time isolation of the organism in respiratory specimen cultures [14]. Aggressive lower airway sampling in the form of routine bronchoscopic alveolar lavages in young children with CF, however, has not been shown to improve the culture rate of P. aeruginosa or improve the success rate of eradication therapy [15]. Culture-independent molecular methods may be a more sensitive way of detecting initial P. aeruginosa infection, although this has yet to be established [16]. Another possible explanation for first-time infection with a chronic phenotype, as pointed out by the current authors, is that initial infection may have occurred due to transmission from another CF patient with persistent P. aeruginosa infection. Potential transmission, in shared clinic space, of P. aeruginosa from older CF patients to infants and young children with CF identified through newborn screening, for example, has been previously described [17]. The enhanced infection control precautions recently recommended by the US Cystic Fibrosis Foundation may aid to address some of these concerns. Can the knowledge that specific P. aeruginosa phenotypes are associated with eradication failure help us to develop better treatment strategies? In the study by Mayer-Hamblett et al, 34% of cases of incident P. aeruginosa infection failed eradication therapy with high-dose inhaled tobramycin. The addition of oral ciprofloxacin to tobramycin inhalation solution did not influence the prevalence of P. aeruginosa positivity in those subjects randomized to this treatment arm during the EPIC trial [13]. Prolonging antibiotic treatment course does not improve P. aeruginosa eradication rates either, as demonstrated in the Early Inhaled Tobramycin for Eradication trial, which showed similar efficacy for 28 days compared with 56 days of inhaled tobramycin treatment of early-onset P. aeruginosa infection in patients with CF [18]. Although the authors of the current study examined biofilm formation in only 20% of their isolates, the study data did show that phenotypes previously known to have increased biofilm formation were associated with eradication failure. If their high-throughput system could identify this phenotype in a timely fashion in a clinical microbiology laboratory, would this information change how we would approach eradication in a child with CF and first-time P. aeruginosa infection? Certain antibiotics are known to be more effective against bacterial biofilms than others. Macrolides such as azithromycin have been shown to have bactericidal activity against P. aeruginosa biofilms; however, there are conflicting data as to whether azithromycin potentiates or actually antagonizes the effect of tobramycin [19–22]. Inhaled aztreonam is also being studied as an eradication therapy in pediatric patients with CF, but may not be as effective as tobramycin against P. aeruginosa biofilms, as certain CF P. aeruginosa isolates have been shown to be tolerant to aztreonam in vitro, likely due to their exopolysaccharide production [23, 24]. In addition, P. aeruginosa isolates with chronic phenotypes, against which eradication therapy fails, may have higher minimum inhibitory concentrations to tobramycin; it is not known whether initial treatment with tobramycin inhalation powder, which can achieve higher intrapulmonary concentrations of drug, would result in more successful eradication [25]. Although there may be an inclination to treat an initial P. aeruginosa infection with a chronic phenotype using intravenous antimicrobial therapy, there are no studies comparing intravenous with inhaled eradication treatments to demonstrate its superiority. Intravenous administration of antibiotics generally does not achieve as high intrapulmonary concentrations as does nebulized drug administration. The development of newer aerosolized formulations may thus be required to effectively penetrate the biofilm structure and allow eradication of organisms with a chronic phenotype. Bacterial characteristics are clearly not the only factor to influence the success of P. aeruginosa eradication in CF. Host factors are likely to play a role in the patient's capacity to clear the bacteria. Although the EPIC trial did not identify any baseline patient characteristics as significant predictors of P. aeruginosa eradication success, previous studies have shown genetic determinants, related to degree of cystic fibrosis transmembrane conductance regulator function, and female sex to be implicated in earlier time to first P. aeruginosa acquisition [5, 26–28]. Unfortunately, these factors are not modifiable. Additionally, the pulmonary microbiome, into which P. aeruginosa is introduced at the time of first infection, may also influence its ability to establish chronic infection. Antimicrobial treatment of other coinfecting organisms within this polymicrobial community may improve the success of eradication attempts and deserves further study. To conclude, given the lasting negative effects of P. aeruginosa infection on clinical outcomes in CF, an eradication failure rate of >30% in young children with CF is too high to accept. To develop better treatment strategies to improve eradication success rates, we must first understand why these efforts fail in the first place. To that end, the study by Mayer-Hamblett and colleagues is a significant step in the right direction. Potential conflicts of interest. Author certifies no potential conflicts of interest. The author has submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,032
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,026
Score d'incertitude au seuil0,059

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,032
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,003
Communication savante0,0040,005
Science ouverte0,0060,002
Intégrité de la recherche0,0260,023
Charge utile insuffisante (le modèle a refusé de juger)0,0180,011

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 Opus0,026
Tête enseignante GPT0,369
Écart entre enseignants0,343 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations0
Publié2014
Routes d'admission2
Résumé présentoui

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