Abstract
Several studies have emphasized the role of DNA methylation in vitiligo. However, its profile in human skin of individuals with vitiligo remains unknown. Here, we aimed to study the DNA methylation profile of vitiligo using pairwise comparisons of lesions, peri-lesions, and healthy skin. We investigated DNA methylation levels in six lesional skin, six peri-lesional skin, and eight healthy skin samples using an Illumina 850 K methylation chip. We then integrated DNA methylation data with transcriptome data to identify differentially methylated and expressed genes (DMEGs) and analyzed their functional enrichment. Subsequently, we compared the methylation and transcriptome characteristics of all skin samples, and the related genes were further studied using scRNA-seq data. Finally, validation was performed using an external dataset. We observed more DNA hypomethylated sites in patients with vitiligo. Further integrated analysis identified 264 DMEGs that were mainly functionally enriched in cell division, pigmentation, circadian rhythm, fatty acid metabolism, peroxidase activity, synapse regulation, and extracellular matrix. In addition, in the peri-lesional skin, we found that methylation levels of 102 DMEGs differed prior to changes in their transcription levels and identified 16 key pre-DMEGs (ANLN, CDCA3, CENPA, DEPDC1, ECT2, DEPDC1B, HMMR, KIF18A, KIF18B, TTK, KIF23, DCT, EDNRB, MITF, OCA2, and TYRP1). Single-cell RNA analysis showed that these genes were associated with cycling keratinocytes and melanocytes. Further analysis of cellular communication indicated the involvement of the extracellular matrix. The expression of related genes was verified using an external dataset. To the best of our knowledge, this is the first study to report a comprehensive DNA methylation profile of clinical vitiligo and peri-lesional skin. These findings would contribute to future research on the pathogenesis of vitiligo and potential therapeutic strategies.
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Acknowledgements
We are very grateful to the patients and volunteers involved in this study.
Funding
The National Natural Science Foundation of China (82073462). Chongqing Natural Science Foundation (CSTB2023NSCQ- MSX0664 and CSTB2023NSCQ- MSX0075).
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Conceptualization, LL and YX. Data collection and processing, YL, XP, and YC. Interpretation of data, YH. Software, TC, XS, and JZ. LL is responsible for writing the initial article. Revision and finalization, YP and JC. All authors contributed to the article and approved the submitted version.
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For patient samples, written informed consent was obtained from each patient and the study was approved by the Ethics Committee of the First Affiliated Hospital of Chongqing Medical University (No.:2023-126). The study was performed in accordance with the Declaration of Helsinki.
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439_2023_2630_MOESM1_ESM.tif
Supplementary file1 Figure S1. (A) Venn plots of the overlap of DEGs in the pairwise comparisons of L, PL, and HC. Gene ontology enrichment of DEGs of (B) L vs. HC, (C) PL vs. HC, and (D) L vs. PL. L, lesion; HC, healthy control; PL, peri-lesion. (TIF 2120 kb)
439_2023_2630_MOESM2_ESM.tif
Supplementary file2 Figure S2. (A) PPI network of 264 DMEGs. (B) PPI network of 102 pre-DMEGs. PPI, Protein-Protein Interaction; DMEGs, differentially methylated and expressed genes. (TIF 3803 kb)
439_2023_2630_MOESM3_ESM.tif
Supplementary file3 Figure S3. LASSO logistic regression algorithm. (A) LASSO coefficient profiles. (B) Cross-validation for tuning parameter selection in the LASSO model. (TIF 1183 kb)
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Liu, L., Xue, Y., Li, Y. et al. Genome-wide DNA methylation of lesional and peri-lesional skin in vitiligo: a comparative and integrated analysis of multi-omics in Chinese population. Hum. Genet. 143, 137–149 (2024). https://doi.org/10.1007/s00439-023-02630-5
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DOI: https://doi.org/10.1007/s00439-023-02630-5