JEADV Call for papers: Personalised Medicine in Dermatology

Personalised medicine in dermatology aims to tailor diagnosis, treatment, and prevention strategies to individual patient characteristics. Below are key categories, ranging from molecular approaches to imaging and clinical interventions.

We welcome manuscript submissions in these specific subdomains, with priority given to those demonstrating strong clinical relevance.

Featuring contributions from key opinion leaders across academia and industry, this Special Issue will explore the latest research in this field.

By bringing these insights, we aim to inspire further investigation and clinical implementation and address critical unmet needs in the field of dermatology

Topics of interest are:

1. Molecular and Genomic Approaches
   These involve understanding the genetic, epigenetic, and molecular characteristics of skin diseases, such as:
   • Genomic Analysis: Identifying gene variants associated with skin conditions (e.g. FLG mutations in atopic dermatitis or BRAF mutations in melanoma).
   • Epigenetics: Studying e.g. DNA methylation, histone modification, and microRNA profiles to identify disease states or treatment responses.
   • Pharmacogenomics: Customising drug therapies based on individual genetic makeup (e.g. CYP450 enzyme variations affecting drug metabolism in psoriasis treatments).
   • Proteomics and Metabolomics: Profiling skin proteins or metabolites to predict disease progression or therapeutic response.
2. Transcriptomics-Based Approaches
   Analysing RNA expression profiles to understand active pathways and disease mechanisms, such as:
   • RNA Sequencing (including spatial transcriptomics): Identifying biomarkers or expression patterns for conditions like psoriasis, eczema and lupus erythematosus.
   • Gene Expression Signatures: Predicting treatment responses (e.g. TNF inhibitors vs. IL-17 inhibitors in psoriasis).
3. Microbiome Analysis
   Studying skin microbial communities to understand their role in dermatological disorders, such as:
   • Dysbiosis Analysis: Investigating imbalances in microbial populations in acne, rosacea, or eczema.
   • Therapeutic Microbiome Modulation: Probiotics, prebiotics, or microbiota transplants to restore healthy skin microbiota.
4. Imaging and Artificial Intelligence (AI)-Driven Diagnostics
   Personalizing care based on advanced imaging and AI tools, such as:
   • High-Resolution Imaging: Dermoscopy, reflectance confocal microscopy (RCM), or optical coherence tomography (OCT) for detailed skin analysis.
   • AI-Based Pattern Recognition: AI algorithms for early melanoma detection or psoriasis severity assessment.
   • Molecular Imaging: Techniques like PET-CT to track immune response in inflammatory skin diseases.
5. Biomarker-Based Stratification
   Using biomarkers for disease prediction, monitoring, and treatment personalization, such as:
   • Predictive Biomarkers: Identifying responders to biologics in psoriasis or atopic dermatitis (e.g. IL-23, IL-4R levels). Measuring drug levels for proactive personalised dosing.
   • Prognostic Biomarkers: Indicators of disease severity or progression in melanoma or lupus.
6. Advanced Drug Delivery Systems
   Tailoring treatment delivery for maximum efficacy and minimal side effects. Examples are:
   • Nanotechnology: Nanoparticles for targeted drug delivery in psoriasis or skin cancer.
   • Topical Gene Therapy: siRNA or CRISPR-based approaches for conditions like epidermolysis bullosa.
   • Custom-Formulated Topicals: Personalizing formulations based on skin type and molecular needs.
7. Immunological Profiling
   Understanding individual immune responses to personalize treatment in immune-mediated conditions.
   Examples are:
   • Cytokine Profiling: Measuring levels of cytokines like IL-17, IL-23, and IFN-γ in psoriasis or atopic dermatitis.
   • Immune Checkpoint Analysis: Assessing response to immunotherapies in melanoma.
8. Clinical Phenotyping and Lifestyle-Based Personalisation
   Tailoring care based on patient history, lifestyle, and external factors, such as:
   • Phenotypic Subgrouping: Classifying patients based on clinical features (e.g. early-onset vs. late-onset psoriasis).
   • Lifestyle and Environmental Factors: Incorporating UV exposure, allergens, and diet into personalised care plans.
   • Digital Health and Wearables: Using apps and wearable devices for real-time monitoring of conditions like eczema or acne.
9. Computational and Systems Biology Approaches
   Integrating multi-omics data for comprehensive personalization, for example:
   • Disease Modelling: Computational tools to predict disease progression or treatment response.
   • Multiscale Data Integration: Combining genomics, imaging, and clinical data to refine diagnosis and therapy.
10. Predictive and Preventive Dermatology
    Focusing on risk reduction and early intervention. Examples are:
    • Risk Assessment Tools: Genetic screening for melanoma risk or allergic sensitivities.
    • Preventive Strategies: Tailored sunscreen or antioxidant regimens based on genetic susceptibility to photodamage.

Each of these categories is interconnected, contributing to a holistic approach to personalised medicine in dermatology.

Submission instructions:

Full manuscripts should be submitted by 30 April 2025, through the online submission system on the JEADV ScholarOne website.

All submissions will undergo rigorous peer review to ensure high scientific quality and relevance to the theme of the special issue.