Abstract

Chronic allergic inflammatory skin disease—atopic dermatitis (AD)—is characterized by eczema, pruritus, xeroderma, and lichenification. Psychological stress is one cause of this disease; however, psychological stress will also result from the presence of AD symptoms. Previous studies have shown that psychological stress triggers neuroinflammation in the brain, where microRNAs (miRNAs) in the neuronal exosomes (nEVs) were analyzed to identify the composition of the miRNAs in the nEVs and how they were altered by AD. In this study, the AD model was induced by treatment with 2,4-dinitrochlorobenzene (DNCB). The expression patterns of neuroinflammation markers, such as brain-derived neurotrophic factor, cyclooxygenase-2, and glial fibrillary acidic protein, were subsequently evaluated over time. Among these groups, there was a significant difference in DNCB 14 days expression compared with the control; therefore, nEVs were isolated from serum and next-generation sequencing was performed. The results demonstrate that 9 miRNAs were upregulated and 16 were downregulated in the DNCB 14 days compared with the control. Previous studies have shown that some of these miRNAs are associated with stress and stress-induced depression, which suggests that the miRNAs in nEVs may also be stress-related biomarkers.

Highlights

  • Our findings suggest that neuronal exosomal miRNAs can be utilized as stress-specific biomarkers

  • This study aimed to identify and analyze markers whose expression levels changed due to stress caused by a specific disease, and confirm their potential as stress-related biomarkers

  • Let-7a-5p, let-7c-5p, and let-7i-5p are all upregulated in acute social defeat stress and chronic unpredictable mild stress (CUMS)-induced depression, with let-7b-5p upregulated and miR-140-3p downregulated in CUMS-induced depression [59,60]. These results suggest that the expression patterns of miRNAs in nEVs were altered by stress, and these miRNAs could be used as stress-related markers

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Summary

Objectives

This study aimed to identify and analyze markers whose expression levels changed due to stress caused by a specific disease, and confirm their potential as stress-related biomarkers

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