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Enregistrement W3004097395 · doi:10.1111/all.14209

Is pollen‐food syndrome a frequent comorbidity in adults with irritable bowel syndrome?

2020· article· en· W3004097395 sur OpenAlexaff
Kirtika Patel, Gemma Vilà-Nadal, Jasmit Shah, Mohamed H. Shamji, Lorna Swan, Stephen R. Durham, Isabel Skypala

Notice bibliographique

RevueAllergy · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueAllergic Rhinitis and Sensitization
Établissements canadiensUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMedicineIrritable bowel syndromeInternal medicineExact testComorbidityCohortPhysical therapy

Résumé

récupéré en direct d'OpenAlex

Irritable bowel syndrome (IBS) affects up to 10% of UK adults, 50% of whom may also have seasonal allergic rhinitis (SAR) and thus an increased risk of developing pollen-food syndrome (PFS) if sensitized to birch tree pollen.1-3 In an exploratory prospective controlled cohort study, we compared the prevalence of PFS in IBS subjects from a secondary care clinic diagnosed using the Rome IV criteria,4 with that of an age and gender-matched control group with another chronic health condition (congenital heart disease). The control group were chosen as they had a chronic health condition and a younger age demographic which matched the IBS group. The study received ethical and HRA approval (REC 17/NW0577, IRAS Reference: 229644), and all subjects gave written informed consent to take part. Both groups self-completed a validated PFS diagnostic questionnaire.3 The IBS case group alone also self-completed a food and symptom questionnaire, validated IBS and SAR questionnaires (Appendix S1), underwent skin prick testing (SPT) to aeroallergens, food reagents and fresh foods (ALK Abelló) (Appendix S1) and had a 10-mL blood sample collected and analysed for ImmunoCAP 112 ISAC (Thermo Fisher Scientific). Twenty-two of the 35 subjects in the IBS group (63%) reported hay fever; 10/22 (29%) were diagnosed with PFS. Ten control group subjects (29%) reported hay fever, none of whom were diagnosed with PFS (P = .008, Fisher's exact test). The IBS + PFS group had a significantly higher score for IBS severity, SAR and symptom severity compared to those with IBS alone (Appendix S2 and S3). There were no differences in IBS or SAR severity between those with IBS + SAR and IBS + SAR+PFS. When reporting symptoms and foods suspected, the most frequent foods to trigger symptoms in the whole IBS cohort were milk and wheat, predominantly provoking typical IBS symptoms of abdominal pain, bloating, vomiting and diarrhoea (Figure 1, Appendix S4). The IBS + PFS group were significantly more likely to report oropharyngeal symptoms such as tingle and numbness or itchy throat (P = .001), and reactions to kiwi, peach/nectarine and plum/apricot (Figure 1). None of the IBS subjects had a positive SPT to milk, and those with IBS alone were also not sensitized to wheat or the wheat allergens Tri a 14 and Tri a 19 (Appendix S5 and S6). However, 7/10 of the IBS + PFS cohort had a positive SPT to semolina (P > .001), six of whom also reported symptoms to wheat. The majority (86%) of IBS + PFS patients with a positive SPT to wheat reported symptoms to pasta rather than bread, with a modest correlation between a positive SPT to wheat and reported reactions to pasta but not bread (Spearman Rank r = 0.433, P = .009). The IBS + PFS cohort was also more likely to have positive SPT to raw potato (P = .001), hazelnut (P = .003), tomato (P = .017), cooked potato (P = .018), Timothy grass (P = .004), mixed grass (P = .007) and silver birch (P = .007, Fisher's exact test) (Appendix S5). Those with IBS + SAR+PFS were also significantly more likely to have positive SPT to the same foods (Appendix S5). The ISAC results showed that the majority (60%) of the IBS + PFS group were sensitized to PR10 allergens compared to 4% of those with IBS alone (Table 1). Of the four IBS + PFS subjects not sensitized to PR10 allergens, two were sensitized to thaumatin-like proteins (TLP), one of whom was also sensitized to profilins. Sensitization to other allergens was rare (Appendix S6). These data suggest individuals with IBS have a greater prevalence of PFS than the UK population level of 2%5 but larger studies are needed. Others have reported atopic subgroups in IBS populations, but it is unknown whether symptoms experienced by those with IBS and PFS are due to underlying immune responses.2, 6 The onset or exacerbation of IBS during the birch pollen season has been demonstrated to occur together with an increase in inflammatory cells in the duodenal mucosa of individuals with birch pollen allergy, which might explain increased severity of IBS symptoms in individuals with IBS and SAR.7 It is unclear what triggered the reported hay fever in the control group as no allergy tests were performed in this group, given their inclusion was solely to determine the prevalence of PFS. There was no selection bias as control subjects were recruited purely based on age and gender. Adults in the UK usually have PFS due to cross-reactivity between Bet v 1 in birch pollen and PR10 allergens; grass sensitization is linked to allergy to profilins, which are a common cause of PFS in other countries.2, 8 Out of the whole IBS cohort, only 3 IBS + PFS subjects had low level sensitization to profilins but not Phl p 12 (Timothy grass profilin). The 2 IBS + PFS subjects who had positive tests to the Kiwi TLP Act d 2 were not sensitized to Bet v 1 or PR10 proteins. The significance of these sensitization patterns is unclear. Cross-reactivity due to grass sensitization might explain why such a large percentage of this group had a positive test to semolina. However, only 4/7 IBS + PFS group had a positive SPT to both semolina and grass, and none of the IBS alone group had a positive semolina SPT despite 6/25 being grass sensitized. Thus, although not sensitized to Tri a 19, the wheat allergen most usually implicated in wheat allergy, the positive SPT to semolina suggests potential sensitization to other wheat allergens in some individuals with IBS + PFS, which might indicate an allergic component to symptoms. This finding might explain why wheat exclusion is an effective intervention for some patients with IBS.9 The strengths of this study were the use of validated questionnaires, and a matched control group, but it was underpowered to compare differences within the IBS group. In conclusion, our results suggest individuals with IBS have a high incidence of SAR and consequent PFS, with an increase in IBS severity in those with SAR as a comorbidity. Whether this association is causal could be tested by exploring whether dietary avoidance measures directed against PFS might have an impact on IBS symptoms, and/or test the impact of anti-allergic medication on IBS symptoms. The authors declare that they have no conflicts of interest. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,601
Score d'incertitude au seuil0,780

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)0,0010,000

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 Opus0,021
Tête enseignante GPT0,227
Écart entre enseignants0,206 · 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'étudeObservationnel
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

Citations7
Publié2020
Routes d'admission1
Résumé présentoui

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