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Identifying biomarkers of treatment response to ciclosporin in atopic dermatitis through multiomic predictive modelling: DERMATOMICS study protocol

INTRODUCTION: There is a need to optimise the management of atopic dermatitis (AD), improving the efficacy of treatments and reducing the toxicity associated with them. Although the efficacy of ciclosporine (CsA) in the treatment of AD has been thoroughly documented in the literature, the optimal do...

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Autores principales: Marín-Candón, Alicia, García-García, Irene, Arias, Pedro, Carcas, Antonio J, Díaz-García, Lucía, Feltes Ochoa, Rosa, Hernández Cano, Natalia, Herranz Pinto, Pedro, Jiménez González, María, López -Granados, Eduardo, Martínez-Feito, Ana, Mayor-Ibarguren, Ander, Rosas-Alonso, Rocío, Seco-Meseguer, Enrique, Borobia, Alberto M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335428/
https://www.ncbi.nlm.nih.gov/pubmed/37429687
http://dx.doi.org/10.1136/bmjopen-2023-072350
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author Marín-Candón, Alicia
García-García, Irene
Arias, Pedro
Carcas, Antonio J
Díaz-García, Lucía
Feltes Ochoa, Rosa
Hernández Cano, Natalia
Herranz Pinto, Pedro
Jiménez González, María
López -Granados, Eduardo
Martínez-Feito, Ana
Mayor-Ibarguren, Ander
Rosas-Alonso, Rocío
Seco-Meseguer, Enrique
Borobia, Alberto M
author_facet Marín-Candón, Alicia
García-García, Irene
Arias, Pedro
Carcas, Antonio J
Díaz-García, Lucía
Feltes Ochoa, Rosa
Hernández Cano, Natalia
Herranz Pinto, Pedro
Jiménez González, María
López -Granados, Eduardo
Martínez-Feito, Ana
Mayor-Ibarguren, Ander
Rosas-Alonso, Rocío
Seco-Meseguer, Enrique
Borobia, Alberto M
author_sort Marín-Candón, Alicia
collection PubMed
description INTRODUCTION: There is a need to optimise the management of atopic dermatitis (AD), improving the efficacy of treatments and reducing the toxicity associated with them. Although the efficacy of ciclosporine (CsA) in the treatment of AD has been thoroughly documented in the literature, the optimal dose has not been yet established. The use of multiomic predictive models of treatment response could optimise CsA therapy in AD. METHODS AND ANALYSIS: The study is a low-intervention phase 4 trial to optimise the treatment of patients with moderate-severe AD requiring systemic treatment. The primary objectives are to identify biomarkers that could allow for the selection of responders and non-responders to first-line treatment with CsA and to develop a response prediction model to optimise the CsA dose and treatment regimen in responding patients based on these biomarkers. The study is divided into two cohorts: the first comprised of patients starting treatment with CsA (cohort 1), and the second, of patients already receiving or who have received CsA therapy (cohort 2). ETHICS AND DISSEMINATION: The study activities began following authorisation by the Spanish Regulatory Agency (AEMPS) and the Clinical Research Ethics Committee of La Paz University Hospital approval. Trial results will be submitted for publication in an open access peer-reviewed medical speciality-specific publication. Trial registration of this study can be located at the EU Clinical Trials Register, available from https://euclinicaltrials.eu/search-for-clinical-trials/?lang=en. Our clinical trial was registered in the website before the enrolment of the first patient complying with European regulations. EU Clinical Trials Register is a primary registry according the WHO. Once our trial was included in a primary and official registry, in order to extend the accessibility to our research, we also registered it retrospectively in clinicaltrials.gov; however, this is not mandatory as per our regulation. TRIAL REGISTRATION NUMBER: NCT05692843.
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spelling pubmed-103354282023-07-12 Identifying biomarkers of treatment response to ciclosporin in atopic dermatitis through multiomic predictive modelling: DERMATOMICS study protocol Marín-Candón, Alicia García-García, Irene Arias, Pedro Carcas, Antonio J Díaz-García, Lucía Feltes Ochoa, Rosa Hernández Cano, Natalia Herranz Pinto, Pedro Jiménez González, María López -Granados, Eduardo Martínez-Feito, Ana Mayor-Ibarguren, Ander Rosas-Alonso, Rocío Seco-Meseguer, Enrique Borobia, Alberto M BMJ Open Dermatology INTRODUCTION: There is a need to optimise the management of atopic dermatitis (AD), improving the efficacy of treatments and reducing the toxicity associated with them. Although the efficacy of ciclosporine (CsA) in the treatment of AD has been thoroughly documented in the literature, the optimal dose has not been yet established. The use of multiomic predictive models of treatment response could optimise CsA therapy in AD. METHODS AND ANALYSIS: The study is a low-intervention phase 4 trial to optimise the treatment of patients with moderate-severe AD requiring systemic treatment. The primary objectives are to identify biomarkers that could allow for the selection of responders and non-responders to first-line treatment with CsA and to develop a response prediction model to optimise the CsA dose and treatment regimen in responding patients based on these biomarkers. The study is divided into two cohorts: the first comprised of patients starting treatment with CsA (cohort 1), and the second, of patients already receiving or who have received CsA therapy (cohort 2). ETHICS AND DISSEMINATION: The study activities began following authorisation by the Spanish Regulatory Agency (AEMPS) and the Clinical Research Ethics Committee of La Paz University Hospital approval. Trial results will be submitted for publication in an open access peer-reviewed medical speciality-specific publication. Trial registration of this study can be located at the EU Clinical Trials Register, available from https://euclinicaltrials.eu/search-for-clinical-trials/?lang=en. Our clinical trial was registered in the website before the enrolment of the first patient complying with European regulations. EU Clinical Trials Register is a primary registry according the WHO. Once our trial was included in a primary and official registry, in order to extend the accessibility to our research, we also registered it retrospectively in clinicaltrials.gov; however, this is not mandatory as per our regulation. TRIAL REGISTRATION NUMBER: NCT05692843. BMJ Publishing Group 2023-07-10 /pmc/articles/PMC10335428/ /pubmed/37429687 http://dx.doi.org/10.1136/bmjopen-2023-072350 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Dermatology
Marín-Candón, Alicia
García-García, Irene
Arias, Pedro
Carcas, Antonio J
Díaz-García, Lucía
Feltes Ochoa, Rosa
Hernández Cano, Natalia
Herranz Pinto, Pedro
Jiménez González, María
López -Granados, Eduardo
Martínez-Feito, Ana
Mayor-Ibarguren, Ander
Rosas-Alonso, Rocío
Seco-Meseguer, Enrique
Borobia, Alberto M
Identifying biomarkers of treatment response to ciclosporin in atopic dermatitis through multiomic predictive modelling: DERMATOMICS study protocol
title Identifying biomarkers of treatment response to ciclosporin in atopic dermatitis through multiomic predictive modelling: DERMATOMICS study protocol
title_full Identifying biomarkers of treatment response to ciclosporin in atopic dermatitis through multiomic predictive modelling: DERMATOMICS study protocol
title_fullStr Identifying biomarkers of treatment response to ciclosporin in atopic dermatitis through multiomic predictive modelling: DERMATOMICS study protocol
title_full_unstemmed Identifying biomarkers of treatment response to ciclosporin in atopic dermatitis through multiomic predictive modelling: DERMATOMICS study protocol
title_short Identifying biomarkers of treatment response to ciclosporin in atopic dermatitis through multiomic predictive modelling: DERMATOMICS study protocol
title_sort identifying biomarkers of treatment response to ciclosporin in atopic dermatitis through multiomic predictive modelling: dermatomics study protocol
topic Dermatology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335428/
https://www.ncbi.nlm.nih.gov/pubmed/37429687
http://dx.doi.org/10.1136/bmjopen-2023-072350
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