Customized Use of Anti-Tumour Necrosis Factor-α Therapy During Pregnancy
Notice bibliographique
Résumé
We read with interest the manuscript by Kanis et al. on the association of anti-tumour necrosis factor-α [TNF] concentrations in cord blood with anti-TNF type.1 It has been well documented that controlling disease activity at the time of conception and during pregnancy results in favourable outcomes for mother and baby.2 However, gastroenterologists continue to question the long-term effects of fetal exposure to such therapies. Kanis et al. studied the effect of withholding anti-TNF therapy during the third trimester to limit fetal exposure by analysing cord blood samples of 52 infliximab- and 42 adalimumab-exposed subjects. Consistent with existing data, cord blood and infant anti-TNF concentrations exceeded that of the mother at term.1,3,4 By using a linear regression model, Kanis et al. found that the timing of last anti-TNF administration during pregnancy and the type of anti-TNF agent significantly influenced cord blood concentrations of infliximab and adalimumab. Other disease and patient demographics including age, body mass index, smoking and concomitant therapies did not improve the model. Consistent with our previous study, Kanis et al. found that serum concentrations increased exponentially during the third trimester for infliximab, yet intrapartum serum concentrations were relative stable for adalimumab.1,5 While both Kanis and Seow concluded that adalimumab can be continued for longer during pregnancy than infliximab without leading to higher anti-TNF concentrations in the newborn, Kanis states that adalimumab may be preferred over infliximab in women with a current or future pregnancy. However, we proposed that infliximab could be safely used during pregnancy, with second-trimester therapeutic drug monitoring informing the need for a third-trimester dose.5 This tailored continuation of therapy reduces potential risks of relapse during pregnancy and the postpartum period, and may also reduce the risk of subsequent loss of response to therapy resulting from low serum trough concentrations and the development of anti-drug antibodies.2,5 A definitive mechanistic explanation for the observed differential disposition of infliximab and adalimumab remains to be elucidated, yet it is highly likely that it involves the neonatal Fc receptor [FcRn] that binds to the Fc region of infliximab and adalimumab. With the exception of certolizumab, which consists of an Fc-free, polyethylene glycol-conjugated antigen-binding fragment, all current commercially available biological therapies for the management of inflammatory bowel disease have an Fc region. This includes the anti-TNFs [infliximab, adalimumab, golimumab], the anti-integrin vedolizumab, and the anti-interleukin 12/23 ustekinumab. Immunoglobulin [Ig] G does not cross the placenta in the first trimester, but is transported efficiently in the subsequent trimesters. Future studies should explore the pharmacokinetics of the other IgG1 biological therapies in pregnancy, to discern if the differences pertain to the class of therapy, mode of administration or other underdetermined factors. Ongoing pharmacovigilance should be conducted to determine the risks of infant exposure. None. CHS: Consultant for Janssen, Abbvie, Shire, Takeda, Actavis, Ferring, Pfizer; Speaker for Janssen, Abbvie, Takeda, Shire. NVC: Consultant for Janssen and Takeda. RP: Consultant: AbbVie, ActoGeniX, AGI Therapeutics, Alba Therapeutics Albireo, Alfa Wasserman, Amgen, AM-Pharma BV, Anaphore, Aptalis, Astellas, Athersys, Atlantic Healthcare, BioBalance, Boehringer-Ingelheim, Bristol-Myers Squibb, Celgene, Celek, Cellerix, Cerimon, ChemoCentryx, CoMentis, Cosmo Technologies, Coronado Biosciences, Cytokine Pharmasciences, Eagle, Eisai Medical Research, Elan, EnGene, Eli Lilly, Enteromedics, Exagen Diagnostics, Ferring, Flexion Therapeutics, Funxional Therapeutics, Genentech, Genzyme, Gilead, Given Imaging, GlaxoSmithKline, Human Genome Sciences, Ironwood, Janssen, KaloBios, Lexicon, Lycera, Meda, Merck & Co., Merck Research Laboratories, MerckSerono, Millennium, Nisshin Kyorin, Novo Nordisk, NPS Pharmaceuticals, Optimer, Orexigen, PDL Biopharma, Pfizer, Procter and Gamble, Prometheus Laboratories, ProtAb, Purgenesis Technologies, Receptos, Relypsa, Salient, Salix, Santarus, Shire Pharmaceuticals, Sigmoid Pharma, Sirtris [a GSK company], S.L.A. Pharma [UK], Targacept, Teva, Therakos, Tillotts, TxCell SA, UCB Pharma, Vascular Biogenics, Viamet and Warner Chilcott UK. Speaker: Abbvie, Aptalis, AstraZeneca, Ferring, Janssen, Merck, Prometheus, Shire, Takeda. Advisory Boards: Abbvie, Abbott, Amgen, Aptalis, AstraZeneca, Baxter, Biogen Idec, Eisai, Ferring, Genentech, Janssen, Merck, Shire, Elan, Glaxo-Smith Kline, Hospira, Pfizer, Bristol-Myers Squibb, Takeda, Cubist, Celgene, Salix. Research/Educational Support: Abbvie, Ferring, Janssen, Shire, Takeda. CS: initiated and wrote the manuscript, content expertise; NVC: content expertise, edited and approved the manuscript; RP: content expertise, edited and approved the manuscript. In response to Kanis SL, de Lima A, van der Ent C. et al. Anti-TNF levels in cord blood at birth are associated with anti-TNF type. J Crohns Colitis 2018;May 15. doi: 10.1093/ecco-jcc/jjy058.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,004 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».