Introduction
The human skin microbiota represents a dynamic and diverse ecosystem that profoundly influences cutaneous physiology and disease. Recent progress in multi-omic technologies—including metagenomics, metatranscriptomics, metaproteomics, and metabolomics—has transformed our ability to decode the functional landscape of the skin–microbiota interface. This topic introduces the concept of microbial dysbiosis and its association with dermatological disorders such as acne, psoriasis, atopic dermatitis, and seborrheic dermatitis. Additionally, it outlines how integrating omics-based research into advanced in vitro skin models allows for a more accurate simulation of host–microbiome interactions, paving the way for innovative therapeutic strategies aimed at restoring skin health.
Multi-Omic Profiling of Skin Microbial Diversity
Multi-omic approaches provide a holistic understanding of the composition, function, and metabolic capabilities of the skin microbiome. Metagenomics reveals microbial community structure, while metatranscriptomics uncovers active gene expression patterns that shift under pathological conditions. Metaproteomics identifies functional proteins secreted by microbes and host cells, and metabolomics profiles bioactive metabolites shaping immune responses and skin barrier function. This topic examines how integrating these complementary layers enables researchers to map the complex, dynamic microbiome landscape with unprecedented resolution.
Omics-Driven Advances in In Vitro Skin Model Development
Traditional skin models often fail to capture the complexity of human skin–microbiota interactions. Recent breakthroughs incorporate multi-omic datasets to refine 2D and 3D skin constructs, enabling more accurate modeling of microbial colonization, barrier integrity, and inflammatory responses. This topic evaluates how organotypic skin cultures, microfluidic skin-on-chip systems, and immunocompetent models benefit from omic-informed design, improving their predictive value for studying disease mechanisms and therapeutic interventions.
Integrating Immune and Endothelial Components into Skin Models
The inclusion of immune cells (e.g., macrophages, dendritic cells, T cells) and endothelial networks is essential for replicating the true human skin microenvironment. This topic explores how advanced in vitro models incorporating these elements allow researchers to investigate the immunological and vascular responses triggered by microbiota-derived molecules. By combining omic analysis with complex skin constructs, researchers can better understand host defense mechanisms, inflammatory signaling pathways, and pathogen–host interactions relevant to chronic skin diseases.
Omics-Guided Discovery of Novel Therapeutic Targets
Omics datasets offer a powerful platform for identifying previously unrecognized therapeutic targets linked to microbial dysbiosis and skin pathology. This topic highlights how functional profiling of microbial gene expression, host signaling pathways, and metabolite networks enables the discovery of molecules involved in barrier repair, immune modulation, and microbiome stabilization. Such insights support the development of personalized therapeutic strategies including microbiome-based interventions, targeted inhibitors, postbiotic formulations, and precision skincare approaches.
Future Perspectives in Skin–Microbiota Research Using Multi-Omic Strategies
As multi-omic tools continue to evolve, their integration into skin research will advance personalized medicine and expand our understanding of host–microbiome interactions. This topic discusses emerging technologies such as single-cell multi-omics, spatial transcriptomics, and AI-driven data integration, which will enable deeper insights into microbe–host dynamics at spatial and temporal scales. These innovations promise to enhance diagnostic capabilities, optimize therapeutic development, and transform in vitro skin models into more physiologically relevant platforms.
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Hashtags
#SkinMicrobiome, #DermatologyResearch, #OmicsTechnologies, #Metagenomics, #Metatranscriptomics, #Metaproteomics, #Metabolomics, #SkinModels, #MicrobiomeScience, #InflammatorySkinDiseases, #PsoriasisResearch, #AcneResearch, #AtopicDermatitis, #SeborrheicDermatitis, #HostMicrobeInteractions, #SkinBarrierFunction, #PersonalizedDermatology, #MicrobiomeTherapeutics, #SkinOnChip, #TranslationalDermatology,
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