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 dos...

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Main Authors: Alberto M Borobia, Antonio J Carcas, Ana Martínez-Feito, Alicia Marín-Candón, Irene García-García, Pedro Arias, Lucía Díaz-García, Rosa Feltes Ochoa, Natalia Hernández Cano, Pedro Herranz Pinto, María Jiménez González, Eduardo López -Granados, Ander Mayor-Ibarguren, Rocío Rosas-Alonso, Enrique Seco-Meseguer
Format: Article
Language:English
Published: BMJ Publishing Group 2023-07-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/13/7/e072350.full
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author Alberto M Borobia
Antonio J Carcas
Ana Martínez-Feito
Alicia Marín-Candón
Irene García-García
Pedro Arias
Lucía Díaz-García
Rosa Feltes Ochoa
Natalia Hernández Cano
Pedro Herranz Pinto
María Jiménez González
Eduardo López -Granados
Ander Mayor-Ibarguren
Rocío Rosas-Alonso
Enrique Seco-Meseguer
author_facet Alberto M Borobia
Antonio J Carcas
Ana Martínez-Feito
Alicia Marín-Candón
Irene García-García
Pedro Arias
Lucía Díaz-García
Rosa Feltes Ochoa
Natalia Hernández Cano
Pedro Herranz Pinto
María Jiménez González
Eduardo López -Granados
Ander Mayor-Ibarguren
Rocío Rosas-Alonso
Enrique Seco-Meseguer
author_sort Alberto M Borobia
collection DOAJ
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 doaj.art-9e05eb111cc84c8cbe81e7a28ab6c2b52024-08-04T12:00:10ZengBMJ Publishing GroupBMJ Open2044-60552023-07-0113710.1136/bmjopen-2023-072350Identifying biomarkers of treatment response to ciclosporin in atopic dermatitis through multiomic predictive modelling: DERMATOMICS study protocolAlberto M Borobia0Antonio J Carcas1Ana Martínez-Feito2Alicia Marín-Candón3Irene García-García4Pedro Arias5Lucía Díaz-García6Rosa Feltes Ochoa7Natalia Hernández Cano8Pedro Herranz Pinto9María Jiménez González10Eduardo López -Granados11Ander Mayor-Ibarguren12Rocío Rosas-Alonso13Enrique Seco-Meseguer14Pharmacology Department, School of Medicine, Universidad Autónoma de Madrid, Madrid, SpainClinical Pharmacology Department, La Paz University Hospital, IdiPAZ, Madrid, SpainInsituto de Investigacion del Hospital Universitario La Paz, Madrid, SpainClinical Pharmacology Department, La Paz University Hospital, IdiPAZ, Madrid, SpainClinical Pharmacology Department, La Paz University Hospital, IdiPAZ, Madrid, SpainInstituto de Genética Médica y Molecular (INGEMM), ITHACA-ERN, Hospital Universitario La Paz-IdiPAZ, Madrid, SpainClinical Pharmacology Department, La Paz University Hospital, IdiPAZ, Madrid, SpainDermatology Department, La Paz University Hospital, IdiPAZ, Madrid, SpainDermatology Department, La Paz University Hospital, IdiPAZ, Madrid, SpainDermatology Department, La Paz University Hospital, IdiPAZ, Madrid, SpainClinical Pharmacology Department, La Paz University Hospital, IdiPAZ, Madrid, SpainImmunology Department, La Paz University Hospital, IdiPAZ, Madrid, SpainDermatology Department, La Paz University Hospital, IdiPAZ, Madrid, SpainGenetic Department, La Paz University Hospital, IdiPAZ, Madrid, SpainClinical Pharmacology Department, La Paz University Hospital, IdiPAZ, Madrid, SpainIntroduction 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.https://bmjopen.bmj.com/content/13/7/e072350.full
spellingShingle Alberto M Borobia
Antonio J Carcas
Ana Martínez-Feito
Alicia Marín-Candón
Irene García-García
Pedro Arias
Lucía Díaz-García
Rosa Feltes Ochoa
Natalia Hernández Cano
Pedro Herranz Pinto
María Jiménez González
Eduardo López -Granados
Ander Mayor-Ibarguren
Rocío Rosas-Alonso
Enrique Seco-Meseguer
Identifying biomarkers of treatment response to ciclosporin in atopic dermatitis through multiomic predictive modelling: DERMATOMICS study protocol
BMJ Open
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
url https://bmjopen.bmj.com/content/13/7/e072350.full
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