Background: The pathophysiological picture underlying hidradenitis suppurativa (HS) and its syndromic forms is still patchy, thus presenting a great challenge for dermatologists and researchers since just by better understanding the pathogenesis of disease we could identify novel therapeutic targets.
Methods: We propose a practical framework to improve subcategorization of HS patients and support the genotype-phenotype correlation, useful for endotype-directed therapies development.
Results: This framework includes (i) clinical work-up that involves the collection of demographic, lifestyle, and clinical data as well as the collection of different biological samples; (ii) genetic-molecular work-up, based on multi-omics analysis in combination with bioinformatics pipelines to unravel the complex etiology of HS and its syndromic forms; (iii) functional studies, - represented by skin fibroblast cell cultures, reconstructed epidermal models (both 2D and 3D) and organoids -, of candidate biomarkers and genetic findings necessary to validate novel potential molecular mechanisms possibly involved and druggable in HS; (iv) genotype-phenotype correlation and clinical translation in tailored targeted therapies.
Conclusion: Omic findings should be merged and integrated with clinical data; moreover, the skin-omic profiles from each HS patient should be matched and integrated with the ones already reported in public repositories, supporting the efforts of the researchers and clinicians to discover novel biomarkers and molecular pathways with the ultimate goal of providing faster development of novel patient-tailored therapeutic approaches.
Keywords: 2D-3D cells and organoids models; Autoinflammatory skin diseases; Biomarkers discovery; Causative genetic variants and disrupted pathways; Genotype-phenotype correlation; Hidradenitis suppurativa; Syndromic forms; Tailored treatment.
© 2023 The Author(s). Published by S. Karger AG, Basel.