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Enregistrement W2955422734 · doi:10.1093/ibd/izz138

Is Antibiotic Use a Cause of IBD Worldwide?

2019· letter· en· W2955422734 sur OpenAlexaff
Çharles N. Bernstein

Notice bibliographique

RevueInflammatory Bowel Diseases · 2019
Typeletter
Langueen
DomaineMedicine
ThématiqueClostridium difficile and Clostridium perfringens research
Établissements canadiensUniversity of Manitoba
Organismes subventionnairesnon disponible
Mots-clésAntibioticsMedicineIntensive care medicineInflammatory Bowel DiseasesInflammatory bowel diseaseInternal medicineMicrobiologyDiseaseBiology

Résumé

récupéré en direct d'OpenAlex

There is increasing concern that dysbiosis of the gut microbiome is an important component of the pathogenesis of inflammatory bowel disease (IBD) and even other chronic immune diseases.1 Although dysbiosis has been repeatedly reported in persons with established IBD,2 it has not been established whether the dysbiosis is cause or effect. However, finding dysbiosis in other chronic immune diseases where the gut is not inflamed lends support to the notion that the dysbiosis leads to immune dysregulation.1 It is unknown what specifically causes the dysbiosis in IBD. There are, however, some leading candidates. It is known that changing one’s diet can alter one’s gut microbiome,3 but to date there has been little research reporting on specific diets or dietary components that lead to the dysbiosis typically seen in IBD.4 However, diet therapy can be effective,5 so it is likely that further research will emerge exploring the impact of different nutrients either administered or withdrawn at specific times in life before the onset of IBD. Whatever dietary component(s) prove to be important will need to be relevant worldwide, as IBD is now a universal disease.6 Food additives are a fascinating consideration as they are ubiquitous worldwide, and the increase of food additives has paralleled the rise in chronic immune diseases universally.7 It is unknown, however, exactly how various food additives impact the gut microbiome. It is known that antibiotic ingestion does alter the gut microbiome, and changes can persist for several months after antibiotic cessation.8, 9 After antibiotic ingestion, the overgrowth of toxin-producing Clostridioides difficile leads to colitis, so there is certainly precedent for antibiotics causing significant gut inflammation. There is also considerable epidemiological evidence that antibiotic use some years before IBD diagnosis is significantly greater in persons with IBD compared with matched controls.10 Data from Manitoba and the United Kingdom have shown that antibiotic use in the first year of life was more common in children with IBD than in controls.11, 12 In a recent study, the Manitoba group reported that infections that would trigger antibiotic use in the first year of life were significantly associated with later development of IBD.13 The association was strongest in persons who developed IBD in childhood and strongest for infections in the first year of life, as opposed to infections in the first 3 years of life. That antibiotics in the first year of life may be linked to IBD development, especially pediatric IBD development, underscores the importance of the vulnerability of an infant’s microbiome. It is through the first year of life that it is developing into its ultimate lifelong microbiome; hence altering it at that vulnerable time with either antibiotics or diet may be critical. Although diets may vary worldwide, the use of antibiotics is a worldwide phenomenon. In fact, consumption of antibiotics assessed in 71 countries increased 36% from 2000 to 2010.14 Unfortunately, antibiotics can often be prescribed indiscriminately and are prescribed quite commonly.15 In this issue of Inflammatory Bowel Diseases, Troelsen and Jick used the United Kingdom Clinical Practice Research Datalink in a case–control study exploring the association of antibiotic use before IBD diagnosis in 1144 cases and 4576 controls.16 The authors reported no association between ever use of antibiotics and the risk of ulcerative colitis (odds ratio [OR], 1.02; 95% confidence interval [CI], 0.72–1.44) or Crohn’s disease (OR, 1.01; 95% CI, 0.73–1.39) compared with never use. Their overall conclusion was that there was no association between IBD and prior use of antibiotics. Yet a number of their findings mirror previously reported associations of antibiotics and IBD diagnosis. There was an increased risk of Crohn’s disease among ever users of quinolones (OR, 1.76; 95% CI, 1.00–3.11) and metronidazole (OR, 1.43; 95% CI, 0.87–2.34) compared with never users. In the Ungaro meta-analysis, the antibiotics with the strongest association with later development of IBD were metronidazole (OR, 5.01; 95% CI, 1.65–15.25) or fluoroquinolones (OR, 1.79; 95% CI, 1.03–3.12).10 It is interesting to consider that in the absence of an evidence base of randomized controlled trials, these 2 classes of drugs have become favorites of gastroenterologists in treating pouchitis or fistulizing disease. Gastroenterologists should consider whether this approach might actually be causing harm. In the report by Troelsen and Jick, when analyses were restricted to persons registered before 3 months of age, ever users compared with never users were at increased risk of Crohn’s disease (OR, 2.20; 95% CI, 0.75–6.43). Antibiotic use within the first year of life has been previously reported to be associated with later development of IBD,11, 12 especially pediatric IBD, including in a UK study.12 An advantage of this study was the ability to control for other potential confounding factors that might affect the risk for IBD or the gut microbiome, such as smoking, oral contraceptive use, nonsteroid anti-inflammatory drug use, or proton pump inhibitor use,17, 18 some of which could not be identified in other administrative database studies. Further, prior diagnosis of asthma or appendectomy were covariates, both of which have been associated with risk for IBD.17, 19 Hence, this study’s mixed results in the context of the rest of the literature support the notion that risk factors for IBD are best considered in the context of the timing and specific types of exposures and also the timing of disease onset, as opposed to considering risk factors from a binary perspective. Although there is evidence that breastfeeding may protect against development of IBD,20 more information will be required to determine the duration of and impact of exclusivity of breastfeeding, as opposed to any breastfeeding. It may be that specific types of antibiotics with specific antibacterial spectra administered at specific times in a person’s life have differential risks for IBD development. Also, it may be that what triggers IBD in children is different than what triggers IBD later in life. However, whatever aspects of antibiotic use pose a risk for IBD, it is plausible that they are causing some of the IBD that is increasingly diagnosed worldwide. Supported by: Dr. Bernstein is supported in part by the Bingham Chair in Gastroenterology. Conflicts of interest: Charles Bernstein has been on advisory boards for Abbvie Canada, Ferring Canada, Janssen Canada, Shire Canada, Takeda Canada, and Pfizer Canada and consulted for Mylan Pharmaceuticals. He has received educational grants from Abbvie Canada, Pfizer Canada, Shire Canada, Takeda Canada, and Janssen Canada and has been on speakers’ panels for Ferring Canada, Medtronic Canada, Takeda Canada, and Shire Canada.

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)0,002
score de la tête « metaresearch » (Gemma)0,014
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: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,026
Score d'incertitude au seuil0,029

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,014
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,002
Communication savante0,0020,003
Science ouverte0,0010,001
Intégrité de la recherche0,0260,014
Charge utile insuffisante (le modèle a refusé de juger)0,0090,004

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 Opus0,034
Tête enseignante GPT0,292
Écart entre enseignants0,257 · 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
GenreCommentaire

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

En bref

Citations5
Publié2019
Routes d'admission1
Résumé présentnon

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