Defining disease severity in atopic dermatitis and psoriasis for the application to biomarker research: an interdisciplinary perspective

Ravi Ramessur,Nick Dand,Sinead M. Langan,Jake Saklatvala, Marie-Christine Fritzsche, Suzi Holland,Bernd W. M. Arents, Helen McAteer,Andrew Proctor, David McMahon, Michelle Greenwood,Alena M. Buyx, Tamara Messer, Nina Weiler,Alexandra Hicks, Peter Hecht,Stephan Weidinger, Matladi N. Ndlovu, Chengliang Dai, Matthias Huebenthal,Alexander Egeberg,Lavinia Paternoster,Lone Skov, Elke M. G. J. De Jong,Maritza A. Middelkamp-Hup,Satveer K. Mahil, Jonathan N. Barker,Carsten Flohr,Sara J. Brown,Catherine H. Smith

BRITISH JOURNAL OF DERMATOLOGY(2024)

引用 0|浏览5
暂无评分
摘要
More severe atopic dermatitis and psoriasis are associated with a higher cumulative impact on quality of life, multimorbidity and healthcare costs. Proactive, early intervention in those most at risk of severe disease may reduce this cumulative burden and modify the disease trajectory to limit progression. The lack of reliable biomarkers for this at-risk group represents a barrier to such a paradigm shift in practice. To expedite discovery and validation, the BIOMarkers in Atopic Dermatitis and Psoriasis (BIOMAP) consortium (a large-scale European, interdisciplinary research initiative) has curated clinical and molecular data across diverse study designs and sources including cross-sectional and cohort studies (small-scale studies through to large multicentre registries), clinical trials, electronic health records and large-scale population-based biobanks. We map all dataset disease severity instruments and measures to three key domains (symptoms, inflammatory activity and disease course), and describe important codependencies and relationships across variables and domains. We prioritize definitions for more severe disease with reference to international consensus, reference standards and/or expert opinion. Key factors to consider when analysing datasets across these diverse study types include explicit early consideration of biomarker purpose and clinical context, candidate biomarkers associated with disease severity at a particular point in time and over time and how they are related, taking the stage of biomarker development into account when selecting disease severity measures for analyses, and validating biomarker associations with disease severity outcomes using both physician- and patient-reported measures and across domains. The outputs from this exercise will ensure coherence and focus across the BIOMAP consortium so that mechanistic insights and biomarkers are clinically relevant, patient-centric and more generalizable to current and future research efforts. The discovery of severity biomarkers is crucial for facilitating a proactive, risk-stratified approach in the management of atopic dermatitis and psoriasis. This review describes the multifaceted aspects and challenges in defining disease severity in the context of biomarker research. Important considerations when analysing datasets across diverse study types are summarized to help expedite biomarker development for inflammatory skin diseases in the future. Atopic dermatitis (AD), and psoriasis are long-term skin conditions that can significantly affect people's lives, especially when symptoms are severe. Approximately 10% of adults and 20% of children are affected by AD, while psoriasis affects around 5% of people in the UK. Both conditions are associated with debilitating physical symptoms (such as itch) and have been linked to depression and anxiety.Biomarkers are naturally occurring chemicals in the human body and have potential to enhance the longer-term management of AD and psoriasis. Currently, there are no routinely used biomarkers that can identify people who experience or will go on to develop severe AD and psoriasis. For this reason, research is under way to understand which biomarkers are linked to severity. In this study, a multidisciplinary team of skin researchers from across Europe, along with patient groups, discussed the complexities of studying severity-related biomarkers.We identified a number of severity measurement approaches and there were recommendations for future biomarker research, including (i) considering multiple measures as no single measure can encompass all aspects of severity, (ii) exploring severity measures recorded by both healthcare professionals and patients, as each may capture different aspects, and (iii) accounting for influencing factors, such as different treatment approaches, that may impact AD and psoriasis severity, which make it challenging to compare findings across studies.Overall, we anticipate that the insights gained from these discussions will increase the likelihood of biomarkers being effectively applied in real-world settings, to ultimately improve outcomes for people with AD and psoriasis.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要