MiR-221-3p as a Potential Biomarker for Patients with Psoriasis and Its Role in Inflammatory Responses in Keratinocytes

Meng, Zhichao; Qiu, Jianwei; Zhang, Hong

doi:10.1159/000515114

Cited by 12 publications

(17 citation statements)

References 33 publications

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“…Of note, previously identified deregulated miRNAs in AD and PV lesional skin have been identified here as well: including miR-31, miR-21, miR-203, miR-146a, miR-24, miR-27, miR-193 and miR-221 25 , 26 (Supplementary Tables S1 and S2 ).…”

Section: Resultssupporting

confidence: 66%

miRNA expression profiles of the perilesional skin of atopic dermatitis and psoriasis patients are highly similar

Carreras‐Badosa

Maslovskaja

Vaher

et al. 2022

Sci Rep

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Atopic dermatitis (AD) and psoriasis vulgaris (PV) are chronic inflammatory skin diseases with heterogeneous molecular backgrounds. MicroRNAs (miRNAs) contribute to either development or regulation of many immune system related diseases. Only few miRNA profiling studies are available for AD and no comparisons between AD and PV skin miRNA profiles have been performed recently. We conducted a miRNA profiling analysis of skin, as well as serum, from adult AD and PV patients and control individuals. 130 miRNAs were differentially expressed in AD skin, of which 77 were common differentially expressed in AD and PV. No differentially expressed miRNAs were detected in serum. Pathway analyses revealed differentially expressed miRNAs to potentially target immune-system related pathways, including TNF-α, IL-2/STAT4 and IL-6/JAK/STAT3. Additional genetic analysis of published AD GWAS dataset detected association of several target genes of differentially expressed miRNAs in skin. Moreover, miR-28-5p, miR-31-5p, miR-378a-3p and miR-203a were validated as upregulated in the skin of AD and PV patients. All validated miRNAs were reliable predictive markers for AD or PV. In conclusion, miRNA expression pattern in the skin of adult AD patients is highly similar to that of PV with multiple differentially expressed miRNAs potentially involved in the regulation of immune responses in AD and PV.

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Section: Resultssupporting

confidence: 66%

miRNA expression profiles of the perilesional skin of atopic dermatitis and psoriasis patients are highly similar

Carreras‐Badosa

Maslovskaja

Vaher

et al. 2022

Sci Rep

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“…We used miRNet to identify hub genes-related key miRNAs that possibly participate in CDLE. The mir-221-3p, which is implied to be involved in both lupus nephritis and alopecia 28,29 , was found recently up-regulated in keratinocytes induced by UVB and was positively correlated with the expression levels of IL-17 30,31 .…”

Section: Discussionmentioning

confidence: 98%

Identification of Biomarkers in Affected Hair Follicles from Chronic Discoid LupusErythematosus by Weighted Gene Co-Expression Network Analysis

Chen

Tao

et al. 2022

Preprint

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Chronic discoidal lupus erythematosus (CDLE) is an inflammatory skin disease characterized by localized, round, red, patchy skin lesions, which often occur on the head. Inflammatory cells often show an infiltration pattern targeting hair follicles, leading to alopecia. Our study aims to analyze the characteristics of gene expression data from hair follicle samples by bioinformatics methods, and the representative genes will be validated in data from skin samples with the same disease. The gene expression profile GSE119207 was obtained from the Gene Expression Omnibus (GEO) database as an experimental set, including microarray gene expression data of 4 healthy human hair follicles and 7 lesional and non-lesional hair follicles with CDLE. Gene profile GSE81071 included 13 healthy scalp samples and 47 scalp samples from CDLE lesions as the validation set. The experimental set was analyzed by differential gene expression analysis and WGCNA, respectively, and the intersection was taken to screen the key genes. The key genes were analyzed by GO and KEGG analysis to determine the related biological processes and pathways. The protein-protein interaction network of key genes was established by string and visualized by Cytoscape, and hub genes were obtained by cytoHubba. The acquired hub genes were used as ROC curve in the validation set to verify the consistency, and the related mirnas predicted by the hub genes were obtained by miRNet (version 2.0). Finally, cibersort was used to explore the infiltration pattern of immune cells in the hair follicles of CDLE. Through this process, we found that type I interferon response-related genes activated by the RIG-1 and IL-17 signaling pathways were significantly up-regulated, and the involved hub genes were also consistently upregulated in skin tissues. This process may involve the involvement of follicular helper T cells (Tfhs).

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“…microRNAs are non-coding small RNAs that can regulate and target various proteins, genes, and signaling pathways [ 3 , 4 ]. Owing to their stable expression and ease of detection, blood microRNAs have been widely used as biomarkers for the diagnosis and prognosis of many diseases [ 5 , 9 , 24 , 25 ]. In the study, plasma microRNA-221-3p levels were higher in the POCD group, and a subsequent binary regression analysis found that the postoperative plasma microRNA-221-3p level was an independent predictor of POCD.…”

Section: Discussionmentioning

confidence: 99%

“…Numerous studies implicated a relationship between microR-221-3p and inflammation, microRNA-221-3p could mediate the antitumor effects of IFN-α [ 29 ], microRNA-221-3p and microRNA-92a-3p are reportedly associated with smoking-induced inflammation in COPD (chronic obstructive pulmonary disease) [ 30 ], microRNA-221-3p could drive the shift of macrophages towards pro-inflammatory functions by inhibiting the activation of JAK3/STAT3 [ 31 ]. Moreover, Meng et al found that plasma microRNA-221-3p was positively correlated with the expression levels of TNF-α, IL-17A, and IL-22 in patients with psoriasis [ 24 ]. Presently, there are several hypotheses about the pathogenesis of POCD, which are related to inflammation of the central nervous system, nerve cell apoptosis, dysfunction of the cholinergic nervous system, and oxidative stress injury.…”

Section: Discussionmentioning

confidence: 99%

Plasma microRNA-221-3p as a biomarker for POCD after non-cardiac surgery

et al. 2022

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Our previous study showed that the plasma microRNA-221-3p level could serve as a biomarker for major depression or mood. This study aimed to further investigate the role of plasma microRNA-221-3p level in postoperative cognitive dysfunction (POCD). Patients undergoing non-cardiac surgery were randomly assigned according to the inclusion and exclusion criteria. POCD was diagnosed by the Z score method. The relative level of plasma microRNA-221-3p was decided by quantitative real-time polymerase chain reaction. Multiple logistic regression analysis and receiver operating characteristic(ROC) curves were used for the analysis of plasma microRNA-221-3p prediction performance for POCD. At 7 days post-surgery, the rate of POCD was 34.04%. Patients in the POCD group had a higher preoperative depression score, older age, and longer operation duration than that in the NPOCD group. The relative level of plasma microRNA-221-3p in the POCD group was 1.78 and 2.73 times higher than that in the NPOCD group at 1 day before and 7 days after the surgery, respectively. The relative content of plasma microRNA-221-3p at 7 days after operation was an independent risk factor for POCD. The ROC curves showed that the area under the curve was 0.938 for plasma microRNA-221-3p at postoperative 7 days, and the threshold for POCD detection was 12.33 with a sensitivity and specificity of 81.3% and 96.3%, respectively. Our results indicate that the plasma postoperative microRNA-221-3p levels could be an effective predictor for POCD after non-cardiac surgery.

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MiR-221-3p as a Potential Biomarker for Patients with Psoriasis and Its Role in Inflammatory Responses in Keratinocytes

Cited by 12 publications

References 33 publications

miRNA expression profiles of the perilesional skin of atopic dermatitis and psoriasis patients are highly similar

miRNA expression profiles of the perilesional skin of atopic dermatitis and psoriasis patients are highly similar

Identification of Biomarkers in Affected Hair Follicles from Chronic Discoid LupusErythematosus by Weighted Gene Co-Expression Network Analysis

Plasma microRNA-221-3p as a biomarker for POCD after non-cardiac surgery

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