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. 2022 Aug 26;13(9):1544.
doi: 10.3390/genes13091544.

Circulating microRNAs in Hidradenitis Suppurativa

Affiliations

Circulating microRNAs in Hidradenitis Suppurativa

Bruna De Felice et al. Genes (Basel). .

Abstract

Hidradenitis suppurativa (HS) is a pathology characterized by chronic inflammation and skin lesions. The molecular basis of the inflammatory network remains unclear; however, since microRNAs (miRNAs) are involved in the modulation of inflammation, the composition of a micro-transcriptome RNA library using the blood of HS patients was analysed here. The total miRNA expression profiles of miRNAs from HS patients was assayed by real-time qPCR. Here, compared to healthy controls, miR-24-1-5p, miR-146a-5p, miR26a-5p, miR-206, miR338-3p, and miR-338-5p expression was found significantly different in HS. Knowing the significance of the miRNA mechanism in inflammatory and immune progression, we suggest that miRNA profiles found in HS patients can be significant in understanding the pathogenesis modality and establishing efficient biomarkers for HS early diagnosis. In particular, miR-338-5p was closely related to HS invasiveness and production of cytokines and was atypically overexpressed. miR-338-5p may represent a good promise as a non-invasive clinical biomarker for HS.

Keywords: Hidradenitis suppurativa; miRNA; real-time qPCR.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
MicroRNA expression levels in blood leukocytes from HS patients versus healthy age-matched subjects. The expression of microRNAs was studied in blood leukocytes of HS patients, by microRNA assay-based quantitative real-time PCR following the delta–delta Ct method. Statistically significant differences were tested at * p < 0.05.
Figure 2
Figure 2
mRNA expression levels in blood leukocytes of HS patients versus healthy age-matched subjects. The expression of mRNAs was studied in blood leukocytes of HS patients by assay-based quantitative real-time PCR following the delta-delta Ct method. Statistically significant differences were tested at * p < 0.05.
Figure 3
Figure 3
Panther gene ontology (GO) term-enrichment analysis for microRNA-associated genes in HS. Distribution of genes according to molecular function (a). Distribution of genes according to biological function (b). Distribution of genes according to the analysis of pathway (c). Beside each category, the percentage of gene frequency is reported. The number of assigned genes may be greater than the number of recognized genes as the same gene can be included in different categories.
Figure 4
Figure 4
Combined molecular analysis in HS. Functional annotations of target genes, together with their miRNAs, are visualized as a network workflow (Cytoscape 3.6.0).

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