Advanced Skin Microbiome Profiling for Personalized Diagnosis and Management of Atopic Dermatitis using Metagenomic Sequencing

Project Abstract

Advanced Skin Microbiome Profiling for Personalized Diagnosis and Management of Atopic Dermatitis using Metagenomic Sequencing presents a comprehensive exploration of how high-resolution microbiome profiling can transform the diagnosis, stratification, and treatment of atopic dermatitis (AD). This study employs whole-metagenome sequencing (WMS) of skin swab samples from a well-characterized cohort of AD patients across disease severities and matched healthy controls, enabling simultaneous taxonomic, functional, and resistome analyses. By integrating longitudinal sampling with clinical phenotyping, we aim to identify microbial signatures and functional pathways that correlate with disease activity, flares, and response to standard therapies as well as emerging biologics. We hypothesize that AD is driven not only by host immune dysregulation but also by dynamic microbial dysbiosis and microbial-derived metabolites that modulate barrier function and inflammatory signaling. The abstract outlines a multi-omics framework combining metagenomic data with targeted transcriptomics and metabolomics to capture microbial gene expression and metabolite production in situ. Advanced bioinformatics pipelines, including strain-level resolution, assembly-free approaches, and machine learning classifiers, will be used to discern stable biomarkers from transient fluctuations. We will evaluate microbial diversity, community structure, and the abundance of functional genes related to epidermal barrier disruption (e.g., desmoglein, filaggrin pathways), virulence factors, and lipid metabolism, as well as antimicrobial resistance genes that may influence treatment choices. The study aims to develop a personalized diagnostic model capable of predicting flares, therapeutic responsiveness, and potential adverse events to guide individualized management plans. We will validate a minimal, clinically feasible microbiome panel derived from accessible skin sites (e.g., antecubital crease, hands) that provides robust predictive performance across diverse cohorts. In addition, the research investigates whether targeted modulation of the skin microbiome, via topical probiotics, prebiotics, or microbiome-informed antibiotic stewardship, can complement conventional therapies to enhance barrier restoration and reduce corticosteroid exposure. Ethical considerations, data governance, and patient-reported outcomes are integrated to ensure patient-centric translational potential. The anticipated outcomes include a validated set of microbial biomarkers and functional pathways, an interpretable risk score for disease activity, and a framework for integrating microbiome data into routine dermatology practice. By advancing our understanding of host–microbe–environment interactions in AD, this project endeavors to deliver precision dermatology tools that improve diagnostic accuracy, enable proactive disease management, and minimize treatment-related risks. The study addresses potential challenges such as confounding factors (topical products, hygiene practices), inter-individual microbiome variability, and the need for scalable, cost-effective sequencing workflows suitable for clinical adoption.

Project Overview

What This Project Is About

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This project explores how the community of microbes on the skin (the skin microbiome) varies in people with atopic dermatitis and how we can use DNA sequencing to profile these microbes. The goal is to see if individual microbial patterns can help tailor diagnosis and treatment choices.

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The Problem It Addresses

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Objectives of the Project

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1. Identify common skin microbes associated with atopic dermatitis in a diverse group of participants.
2. Compare microbiome profiles before and after standard treatments to see if changes relate to symptoms.
3. Develop a simple framework that explains how microbial patterns could guide treatment choices.
4. Assess feasibility of translating metagenomic profiling into a clinical or near-clinical setting.

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What You Will Do Step by Step

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1) Review basic concepts of the skin with atopic dermatitis and metagenomic sequencing in approachable terms.

2) Collect skin samples with ethical consent and document patient information (anonimized).

3) Perform DNA sequencing to identify skin microbes present in samples.

4) Analyze data to find microbial patterns linked to disease severity and treatment response.

5) Interpret results with simple visuals to show potential clinical use.

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Expected Outcome

The project should yield a clear picture of how skin microbes differ in atopic dermatitis and a practical idea of how profiling could support personalized care, along with limitations and next steps for real-world use.