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Enregistrement W4297359455 · doi:10.1016/j.jdin.2022.09.003

Management of vitiligo with topical janus tyrosine kinase inhibitor therapy: An evidence-based review

2022· article· en· W4297359455 sur OpenAlex

Pourquoi ce travail est dans la base

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Notice bibliographique

RevueJAAD International · 2022
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
Thématiquemelanin and skin pigmentation
Établissements canadiensProbity Medical ResearchHealth Sciences CentreWomen's College HospitalUniversity of TorontoSunnybrook Health Science CentreWestern University
Organismes subventionnairesnon disponible
Mots-clésVitiligoMedicineDermatologyJanus kinase inhibitorPopulationJanus kinaseCalcineurinInternal medicineTransplantation

Résumé

récupéré en direct d'OpenAlex

To the Editor: Vitiligo is an acquired depigmenting skin disorder due to the absence of functional melanocytes affecting up to 1% of the general population.1Ezzedine K. Eleftheriadou V. Whitton M. van Geel N. Vitiligo.Lancet. 2015; 386: 74-84https://doi.org/10.1016/S0140-6736(14)60763-7Abstract Full Text Full Text PDF PubMed Scopus (449) Google Scholar Initial treatment typically involves topical corticosteroids, topical calcineurin inhibitors, and phototherapy; however, topical Janus kinase inhibitors (JAKi) are being explored as a potential treatment option. This systematic review examines the efficacy and safety of topical JAKi therapies in vitiligo. Following the PRISMA guidelines, MEDLINE and Embase Ovid searches were conducted, using variations and synonyms of keywords "Vitiligo" and "JAK inhibitor" (Supplementary File 1, available via Mendeley at https://data.mendeley.com/datasets/ngwr9gns95). After independent screening of 240 articles by 2 reviewers with no exclusion based on study type, 12 studies involving 213 patients were included. (Fig 1; Supplementary File 2, available via Mendeley at https://data.mendeley.com/datasets/ngwr9gns95). The mean age was 48.5 years (range: 4-73 years), with 108 males (50.7%) and 105 females (49.3%). Ruxolitinib (84%) was the most common therapy followed by tofacitinib (15%) and delgocitinib (1%). Treatment duration was described in 212 instances (mean: 44.9 weeks; range: 4.6-52 weeks). Facial Vitiligo Area and Severity Index (F-VASI) scores were measured in 159 cases, with 64.8%, 53.5%, and 29.6% of cases achieving ≥50% (VASI50), ≥75% (VASI75), and ≥90% (VASI90) reductions from baseline VASI, respectively. Total VASI (T-VASI) scores were measured in 83.6% of cases, with 33.5%, 11.2%, and 6.7% of cases achieving ≥50% (T-VASI50), ≥75% (T-VASI75), and ≥90% (T-VASI90) reductions from baseline T-VASI, respectively. Concurrent treatment with non-JAKi therapies was noted in 39 cases, with phototherapy and topical corticosteroids accounting for 23 and 6 of the concurrent treatments, respectively (Supplementary File 2). Adverse events were reported in 113 cases using JAKi, with pruritis (12.2%), upper respiratory tract infections (10.8%), and acne (8.5%) being the most documented adverse events. The appeal of topical JAKi is the potential to provide adequate response in patients no longer responding to older topical agents and to reduce adverse events of interest (eg, infections) that may present through oral JAKi administration.2Solimani F. Meier K. Ghoreschi K. Emerging topical and systemic JAK inhibitors in dermatology.Front Immunol. 2019; 10: 2847https://doi.org/10.3389/fimmu.2019.02847Crossref PubMed Scopus (101) Google Scholar Ruxolitinib was the most studied topical JAKi treatment for vitiligo, with 49.7% and 29.6% of cases achieving F-VASI50/T-VASI50, respectively. In a phase 2 randomized controlled trial of topical ruxolitinib for vitiligo, 45% and 30% of cases achieving F-VASI50/T-VASI50, respectively.3Rosmarin D. Pandya A.G. Lebwohl M. et al.Ruxolitinib cream for treatment of vitiligo: a randomised, controlled, phase 2 trial.Lancet. 2020; 396: 110-120https://doi.org/10.1016/S0140-6736(20)30609-7Abstract Full Text Full Text PDF PubMed Scopus (80) Google Scholar Ruxolitinub's mechanism of action involves JAK mediated inhibition of IFNγ (interferon gamma) signaling. The IFNγ induced expression of C-X-C motif chemokine 10 in keratinocytes is an important mediator of depigmentation in vitiligo.3Rosmarin D. Pandya A.G. Lebwohl M. et al.Ruxolitinib cream for treatment of vitiligo: a randomised, controlled, phase 2 trial.Lancet. 2020; 396: 110-120https://doi.org/10.1016/S0140-6736(20)30609-7Abstract Full Text Full Text PDF PubMed Scopus (80) Google Scholar Topical tofacitinib resulted in 46.9% and 53.1% of cases achieving F-VASI50/T-VASI50, respectively. Tofacitinib works in a similar fashion to ruxolitinib, with any differences in efficacy owing to targeting of JAK1/3 as opposed to JAK1/2 with ruxolitinib.4Papp K.A. Menter A. Strober B. et al.Efficacy and safety of tofacitinib, an oral Janus kinase inhibitor, in the treatment of psoriasis: a phase 2b randomized placebo-controlled dose-ranging study.Br J Dermatol. 2012; 167: 668-677https://doi.org/10.1111/j.1365-2133.2012.11168.xCrossref PubMed Scopus (257) Google Scholar Ruxolitinib is currently the only topical JAKi to receive FDA approval for vitiligo treatment.5Sheikh A. Rafique W. Owais R. Malik F. Ali E. FDA approves ruxolitinib (Opzelura) for vitiligo therapy: a breakthrough in the field of dermatology.Ann Med Surg (Lond). 2022; 81: 104499https://doi.org/10.1016/j.amsu.2022.104499Crossref PubMed Scopus (2) Google Scholar Study limitations included lack of follow-up data and potential selection bias for cases with improved outcomes. Given the lack of standardized outcome measures and data heterogeneity, a meta-analysis could not be performed. Despite this, we highlight evidence for the effectiveness and safety of topical JAKi therapies, specifically ruxolitinib and tofacitinib, for treating vitiligo. Further long-term studies are warranted to establish practical clinical applications of topical JAK inhibitors. Dr Yeung has been an advisor, consultant, speaker, and/or investigator for AbbVie, Allergan, Amgen, Astellas, Boehringer Ingelheim, Celgene, Centocor, Coherus, Dermira, Eli Lilly, Forward, Galderma, GSK, Janssen, LEO Pharma, Medimmune, Merck, Novartis, Pfizer, Regeneron, Roche, Sanofi Genzyme, Sun Pharma, Takeda, UCB, Valeant, and Xenon. Abduelmula, Mufti, Chong, Sood, and Sachdeva have no conflicts of interest to declare.

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.

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: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,238
Score d'incertitude au seuil0,646

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 Opus0,026
Tête enseignante GPT0,301
Écart entre enseignants0,275 · 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