Browsing by Author "Sims, Jonathan T."

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    Predictive biomarker modeling of pediatric atopic dermatitis severity based on longitudinal serum collection
    (Oxford University Press, 2021) Engle, Sarah M.; Chang, Ching-Yun; Ulrich, Benjamin J.; Satterwhite, Allyson; Hayes, Tristan; Robling, Kim; Sissons, Sean E.; Schmitz, Jochen; Tepper, Robert S.; Kaplan, Mark H.; Sims, Jonathan T.; Microbiology and Immunology, School of Medicine
    The pathogenesis of atopic dermatitis (AD) results from complex interactions between environmental factors, barrier defects, and immune dysregulation resulting in systemic inflammation. Therefore, we sought to characterize circulating inflammatory profiles in pediatric AD patients and identify potential signaling nodes which drive disease heterogeneity and progression. We analyzed a sample set of 87 infants that were at high risk for atopic disease based on atopic dermatitis diagnoses. Clinical parameters, serum, and peripheral blood mononuclear cells (PBMCs) were collected upon entry, and at one and four years later. Within patient serum, 126 unique analytes were measured using a combination of multiplex platforms and ultrasensitive immunoassays. We assessed the correlation of inflammatory analytes with AD severity (SCORAD). Key biomarkers, such as IL-13 (rmcorr=0.47) and TARC/CCL17 (rmcorr=0.37), among other inflammatory signals, significantly correlated with SCORAD across all timepoints in the study. Flow cytometry and pathway analysis of these analytes implies that CD4 T cell involvement in type 2 immune responses were enhanced at the earliest time point (year 1) relative to the end of study collection (year 5). Importantly, forward selection modeling identified 18 analytes in infant serum at study entry which could be used to predict change in SCORAD four years later. We have identified a pediatric AD biomarker signature linked to disease severity which will have predictive value in determining AD persistence in youth and provide utility in defining core systemic inflammatory signals linked to pathogenesis of atopic disease.
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    Transcriptomic Analysis of Healthy and Atopic Dermatitis Samples Reveals the Role of IL-37 in Human Skin
    (American Association of Immunologists, 2021-10-26) Zhou, Jiajun; Gemperline, David C.; Turner, Matthew J.; Oldach, Jonathan; Molignano, Jennifer; Sims, Jonathan T.; Stayrook, Keith R.; Dermatology, School of Medicine
    Atopic dermatitis (AD) is a chronic inflammatory skin disease that affects up to one in five children and millions of adults in developed countries. Clinically, AD skin lesions manifest as subacute and/or chronic lichenified eczematous plaques, which are often intensely pruritic and prone to secondary bacterial and viral infections. Despite the emergence of novel therapeutic agents, treatment options and outcomes for AD remain suboptimal. An improved understanding of AD pathogenesis may help improve patient outcomes. Dysregulated Th2-polarized skin inflammation and impaired skin barrier function interact to drive AD pathogenesis; however, much remains to be understood about the molecular mechanisms underlying this interplay. The current study used published clinical trial datasets to define a skin-related AD gene signature. This meta-analysis revealed significant reductions in IL1F7 transcripts (encodes IL-37) in AD patient samples. Reduced IL1F7 correlated with lower transcripts for key skin barrier function genes in the epidermal differentiation complex. Immunohistochemical analysis of normal (healthy) human skin specimens and an in vitro three-dimensional human skin model localized IL-37 protein to the epidermis. In comparison with normal human skin, IL-37 levels were decreased in AD patient skin. Addition of Th2 cytokines to the aforementioned in vitro three-dimensional skin model recapitulates key aspects of AD skin and was sufficient to reduce epidermal IL-37 levels. Image analysis also indicated close relationship between epidermal IL-37 and skin epidermal differentiation complex proteins. These findings suggest IL-37 is intimately linked to normal keratinocyte differentiation and barrier function and implicates IL-37 as a potential biomarker and therapeutic target for AD.