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      Identification of Dopachrome Tautomerase (DCT) and Kinesin Family Member 1A (KIF1A) as Related Biomarkers and Immune Infiltration Characteristics of Vitiligo Based on Lasso-SVM Algorithms

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          Abstract

          Objective

          To identify potential diagnostic markers for vitiligo and determine the significance of immune cell infiltration in pathology.

          Methods

          Three publicly available gene expression profiles (GSE53146, GSE75819 and GSE65127 datasets) from human vitiligo and control samples were downloaded from the GEO database. Differentially expressed genes (DEGs) were screened between 20 vitiligo and 20 control samples. Logical regression of the selection operator (LASSO) model and support vector machine recursive feature elimination (SVM-RFE) analysis were performed to identify candidate biomarkers. The area under the receiver operating characteristic curve (AUC) value was obtained and was used to evaluate the discriminatory ability. The expression level and diagnostic value of the biomarkers in vitiligo were further validated in the GSE65127 dataset (10 vitiligo patients and 10 healthy controls). Finally, the immune cell infiltration of vitiligo was evaluated by CIBERSORT, and the correlation between biomarkers and infiltrating immune cells was analyzed. The compositional patterns of the 22 types of immune cell fractions in vitiligo were estimated from the pooled cohorts using CIBERSORT. In addition, we established a mouse model of vitiligo with monobenzone and validated the screened biomarkers.

          Results

          A total of 23 associated DEGs were identified, including 9 up-regulated and 14 down-regulated genes. Subsequently, 17 genes meeting prognostic criteria and 2 common genes (DCT and KIF1A) were obtained by SVM and Venn diagram screening. Immunodifferential analysis showed that microenvironment of vitiligo patients was altered. Finally, the different expression was verified by polymerase chain reaction (PCR).

          Conclusion

          Biomarkers associated with vitiligo can be screened by comprehensive strategies, and immune cell infiltration plays a key role in the development of vitiligo.

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          Most cited references15

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          Vitiligo

          Vitiligo, an acquired pigmentary disorder of unknown origin, is the most frequent cause of depigmentation worldwide, with an estimated prevalence of 1%. The disorder can be psychologically devastating and stigmatising, especially in dark skinned individuals. Vitiligo is clinically characterised by the development of white macules due to the loss of functioning melanocytes in the skin or hair, or both. Two forms of the disease are well recognised: segmental and non-segmental vitiligo (the commonest form). To distinguish between these two forms is of prime importance because therapeutic options and prognosis are quite different. The importance of early treatment and understanding of the profound psychosocial effect of vitiligo will be emphasised throughout this Seminar.
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            Vitiligo: A Review

            Vitiligo, a common depigmenting skin disorder, has an estimated prevalence of 0.5–2% of the population worldwide. The disease is characterized by the selective loss of melanocytes which results in typical nonscaly, chalky-white macules. In recent years, considerable progress has been made in our understanding of the pathogenesis of vitiligo which is now clearly classified as an autoimmune disease. Vitiligo is often dismissed as a cosmetic problem, although its effects can be psychologically devastating, often with a considerable burden on daily life. In 2011, an international consensus classified segmental vitiligo separately from all other forms of vitiligo, and the term vitiligo was defined to designate all forms of nonsegmental vitiligo. This review summarizes the current knowledge on vitiligo and attempts to give an overview of the future in vitiligo treatment.
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              The molecular motor toolbox for intracellular transport.

              Eukaryotic cells create internal order by using protein motors to transport molecules and organelles along cytoskeletal tracks. Recent genomic and functional studies suggest that five cargo-carrying motors emerged in primitive eukaryotes and have been widely used throughout evolution. The complexity of these "Toolbox" motors expanded in higher eukaryotes through gene duplication, alternative splicing, and the addition of associated subunits, which enabled new cargoes to be transported. Remarkably, fungi, parasites, plants, and animals have distinct subsets of Toolbox motors in their genomes, suggesting an underlying diversity of strategies for intracellular transport.
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                Author and article information

                Journal
                Clin Cosmet Investig Dermatol
                Clin Cosmet Investig Dermatol
                ccid
                Clinical, Cosmetic and Investigational Dermatology
                Dove
                1178-7015
                06 December 2023
                2023
                : 16
                : 3509-3520
                Affiliations
                [1 ]Department of Dermatology, the First Affiliated Hospital of Bengbu Medical University, Bengbu Medical University , Bengbu, Anhui, People’s Republic of China
                [2 ]Department of Dermatology, the Third Affiliated Hospital of Soochow University , Changzhou, Jiangsu, People’s Republic of China
                [3 ]Department of Dermatology, the Affiliated Hospital of Jiaxing University, the First Hospital of Jiaxing , Jiaxing, Zhejiang, People’s Republic of China
                [4 ]Department of Dermatology and STD, the Second Affiliated Hospital of Wannan Medical College , Wuhu, Anhui, People’s Republic of China
                Author notes
                Correspondence: Ruzhi Zhang, Department of Dermatology and STD, the Second Affiliated Hospital of Wannan Medical College , Wuhu, Anhui, 241001, People’s Republic of China, Tel +8618761161826, Email zhangruzhi628@163.com
                [*]

                These authors contributed equally to this work

                Article
                443165
                10.2147/CCID.S443165
                10710783
                38084289
                367a383c-fdd4-4c78-bd4f-09eeed33e2c5
                © 2023 Zhao et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 26 October 2023
                : 28 November 2023
                Page count
                Figures: 10, References: 15, Pages: 12
                Funding
                Funded by: the Frontier Technology of Cell Therapy Foundation of Changzhou Xitaihu;
                Funded by: the Graduate Research Innovation Programme of Bengbu Medical College;
                Funded by: the Postgraduate Academic Innovation Project in Anhui Province;
                This work was supported by the Frontier Technology of Cell Therapy Foundation of Changzhou Xitaihu, Grant/Award Number: 2022-P-014, and by the Graduate Research Innovation Programme of Bengbu Medical College (Byycx21088) and the Postgraduate Academic Innovation Project in Anhui Province (2022xscx123).
                Categories
                Original Research

                Dermatology
                vitiligo,predictive biomarker,lasso-svm algorithms
                Dermatology
                vitiligo, predictive biomarker, lasso-svm algorithms

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