Identification and validation of five ferroptosis-related molecular signatures in keloids based on multiple transcriptome data analysis
IntroductionKeloids are a common skin disorder characterized by excessive fibrous tissue proliferation, which can significantly impact patients’ health. Ferroptosis, a form of regulated cell death, plays a crucial role in the development of fibrosis; however, its role in the mechanisms of keloid for...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
|
| Series: | Frontiers in Molecular Biosciences |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmolb.2024.1490745/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841558753028079616 |
|---|---|
| author | Zhen Sun Yonghong Qin Xuanfen Zhang |
| author_facet | Zhen Sun Yonghong Qin Xuanfen Zhang |
| author_sort | Zhen Sun |
| collection | DOAJ |
| description | IntroductionKeloids are a common skin disorder characterized by excessive fibrous tissue proliferation, which can significantly impact patients’ health. Ferroptosis, a form of regulated cell death, plays a crucial role in the development of fibrosis; however, its role in the mechanisms of keloid formation remains poorly understood.MethodsThis study aimed to identify key genes associated with ferroptosis in keloid formation. Data from the NCBI GEO database, including GSE145725, GSE7890, and GSE44270, were analyzed, comprising a total of 24 keloid and 17 normal skin samples. Additionally, single-cell data from GSE181316, which included 8 samples with complete expression profiles, were also evaluated. Differentially expressed genes were identified, and ferroptosis-related genes were extracted from the GeneCards database. LASSO regression was used to select key genes associated with keloids. Validation was performed using qRT-PCR and Western blot (WB) analysis on tissue samples from five keloid and five normal skin biopsies.ResultsA total of 471 differentially expressed genes were identified in the GSE145725 dataset, including 225 upregulated and 246 downregulated genes. Five ferroptosis-related genes were selected through gene intersection and LASSO regression. Two of these genes were upregulated, while three were downregulated in keloid tissue. Further analysis through GSEA pathway enrichment, GSVA gene set variation, immune cell infiltration analysis, and single-cell sequencing revealed that these genes were primarily involved in the fibrotic process. The qRT-PCR and WB results confirmed the expression patterns of these genes.DiscussionThis study provides novel insights into the molecular mechanisms of ferroptosis in keloid formation. The identified ferroptosis-related genes could serve as potential biomarkers or therapeutic targets for treating keloids. |
| format | Article |
| id | doaj-art-24266cf3c30e4038a706d8284e7fba0d |
| institution | Kabale University |
| issn | 2296-889X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Molecular Biosciences |
| spelling | doaj-art-24266cf3c30e4038a706d8284e7fba0d2025-01-06T05:13:21ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2025-01-011110.3389/fmolb.2024.14907451490745Identification and validation of five ferroptosis-related molecular signatures in keloids based on multiple transcriptome data analysisZhen SunYonghong QinXuanfen ZhangIntroductionKeloids are a common skin disorder characterized by excessive fibrous tissue proliferation, which can significantly impact patients’ health. Ferroptosis, a form of regulated cell death, plays a crucial role in the development of fibrosis; however, its role in the mechanisms of keloid formation remains poorly understood.MethodsThis study aimed to identify key genes associated with ferroptosis in keloid formation. Data from the NCBI GEO database, including GSE145725, GSE7890, and GSE44270, were analyzed, comprising a total of 24 keloid and 17 normal skin samples. Additionally, single-cell data from GSE181316, which included 8 samples with complete expression profiles, were also evaluated. Differentially expressed genes were identified, and ferroptosis-related genes were extracted from the GeneCards database. LASSO regression was used to select key genes associated with keloids. Validation was performed using qRT-PCR and Western blot (WB) analysis on tissue samples from five keloid and five normal skin biopsies.ResultsA total of 471 differentially expressed genes were identified in the GSE145725 dataset, including 225 upregulated and 246 downregulated genes. Five ferroptosis-related genes were selected through gene intersection and LASSO regression. Two of these genes were upregulated, while three were downregulated in keloid tissue. Further analysis through GSEA pathway enrichment, GSVA gene set variation, immune cell infiltration analysis, and single-cell sequencing revealed that these genes were primarily involved in the fibrotic process. The qRT-PCR and WB results confirmed the expression patterns of these genes.DiscussionThis study provides novel insights into the molecular mechanisms of ferroptosis in keloid formation. The identified ferroptosis-related genes could serve as potential biomarkers or therapeutic targets for treating keloids.https://www.frontiersin.org/articles/10.3389/fmolb.2024.1490745/fullkeloidferroptosisfibrosisimmune infiltrationoxidative stress |
| spellingShingle | Zhen Sun Yonghong Qin Xuanfen Zhang Identification and validation of five ferroptosis-related molecular signatures in keloids based on multiple transcriptome data analysis Frontiers in Molecular Biosciences keloid ferroptosis fibrosis immune infiltration oxidative stress |
| title | Identification and validation of five ferroptosis-related molecular signatures in keloids based on multiple transcriptome data analysis |
| title_full | Identification and validation of five ferroptosis-related molecular signatures in keloids based on multiple transcriptome data analysis |
| title_fullStr | Identification and validation of five ferroptosis-related molecular signatures in keloids based on multiple transcriptome data analysis |
| title_full_unstemmed | Identification and validation of five ferroptosis-related molecular signatures in keloids based on multiple transcriptome data analysis |
| title_short | Identification and validation of five ferroptosis-related molecular signatures in keloids based on multiple transcriptome data analysis |
| title_sort | identification and validation of five ferroptosis related molecular signatures in keloids based on multiple transcriptome data analysis |
| topic | keloid ferroptosis fibrosis immune infiltration oxidative stress |
| url | https://www.frontiersin.org/articles/10.3389/fmolb.2024.1490745/full |
| work_keys_str_mv | AT zhensun identificationandvalidationoffiveferroptosisrelatedmolecularsignaturesinkeloidsbasedonmultipletranscriptomedataanalysis AT yonghongqin identificationandvalidationoffiveferroptosisrelatedmolecularsignaturesinkeloidsbasedonmultipletranscriptomedataanalysis AT xuanfenzhang identificationandvalidationoffiveferroptosisrelatedmolecularsignaturesinkeloidsbasedonmultipletranscriptomedataanalysis |