Multi-omics analyses reveal bacteria and catalase associated with keloid diseaseResearch in context
Summary: Background: The pathology of keloid and especially the roles of bacteria on it were not well understood. Methods: In this study, multi-omics analyses including microbiome, metaproteomics, metabolomic, single-cell transcriptome and cell-derived xenograft (CDX) mice model were used to explor...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | EBioMedicine |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235239642300470X |
| _version_ | 1797400861581770752 |
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| author | Mengjie Shan Meng Xiao Jiyu Xu Wei Sun Zerui Wang Wenbin Du Xiaoyu Liu Meng Nie Xing Wang Zhengyun Liang Hao Liu Yan Hao Yijun Xia Lin Zhu Kexin Song Cheng Feng Tian Meng Zhi Wang Weifang Cao Lin Wang Zhi Zheng Youbin Wang Yongsheng Huang |
| author_facet | Mengjie Shan Meng Xiao Jiyu Xu Wei Sun Zerui Wang Wenbin Du Xiaoyu Liu Meng Nie Xing Wang Zhengyun Liang Hao Liu Yan Hao Yijun Xia Lin Zhu Kexin Song Cheng Feng Tian Meng Zhi Wang Weifang Cao Lin Wang Zhi Zheng Youbin Wang Yongsheng Huang |
| author_sort | Mengjie Shan |
| collection | DOAJ |
| description | Summary: Background: The pathology of keloid and especially the roles of bacteria on it were not well understood. Methods: In this study, multi-omics analyses including microbiome, metaproteomics, metabolomic, single-cell transcriptome and cell-derived xenograft (CDX) mice model were used to explore the roles of bacteria on keloid disease. Findings: We found that the types of bacteria are significantly different between keloid and healthy skin. The 16S rRNA sequencing and metaproteomics showed that more catalase (CAT) negative bacteria, Clostridium and Roseburia existed in keloid compared with the adjacent healthy skin. In addition, protein mass spectrometry shows that CAT is one of the differentially expressed proteins (DEPs). Overexpression of CAT inhibited the proliferation, migration and invasion of keloid fibroblasts, and these characteristics were opposite when CAT was knocked down. Furthermore, the CDX model showed that Clostridium butyricum promote the growth of patient's keloid fibroblasts in BALB/c female nude mice, while CAT positive bacteria Bacillus subtilis inhibited it. Single-cell RNA sequencing verified that oxidative stress was up-regulated and CAT was down-regulated in mesenchymal-like fibroblasts of keloid. Interpretation: In conclusion, our findings suggest that bacteria and CAT contribute to keloid disease. Funding: A full list of funding bodies that contributed to this study can be found in the Acknowledgements section. |
| first_indexed | 2024-03-09T02:01:42Z |
| format | Article |
| id | doaj.art-5634e8ba3edd4f41b8cc1dd526bc6e63 |
| institution | Directory Open Access Journal |
| issn | 2352-3964 |
| language | English |
| last_indexed | 2024-03-09T02:01:42Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | EBioMedicine |
| spelling | doaj.art-5634e8ba3edd4f41b8cc1dd526bc6e632023-12-08T04:45:30ZengElsevierEBioMedicine2352-39642024-01-0199104904Multi-omics analyses reveal bacteria and catalase associated with keloid diseaseResearch in contextMengjie Shan0Meng Xiao1Jiyu Xu2Wei Sun3Zerui Wang4Wenbin Du5Xiaoyu Liu6Meng Nie7Xing Wang8Zhengyun Liang9Hao Liu10Yan Hao11Yijun Xia12Lin Zhu13Kexin Song14Cheng Feng15Tian Meng16Zhi Wang17Weifang Cao18Lin Wang19Zhi Zheng20Youbin Wang21Yongsheng Huang22Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Beijing, China; State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Beijing, ChinaChinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; Institute of Basic Medical Sciences and School of Basic Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaChinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; Institute of Basic Medical Sciences and School of Basic Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, ChinaDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Beijing, China; State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Beijing, ChinaSchool of Pharmaceutical Sciences, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing, ChinaDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Beijing, China; State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Beijing, ChinaDepartment of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaDepartment of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaDepartment of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaDepartment of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaDepartment of Plastic Surgery, Peking Union Medical College Hospital, Beijing, ChinaDepartment of Plastic Surgery, Peking Union Medical College Hospital, Beijing, ChinaDepartment of Plastic Surgery, Peking Union Medical College Hospital, Beijing, ChinaDepartment of Plastic Surgery, Peking Union Medical College Hospital, Beijing, ChinaDepartment of Plastic Surgery, Peking Union Medical College Hospital, Beijing, ChinaChinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; Institute of Basic Medical Sciences and School of Basic Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaChinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; Institute of Basic Medical Sciences and School of Basic Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaChinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; Institute of Basic Medical Sciences and School of Basic Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China; Corresponding author. Department of Plastic Surgery, Peking Union Medical College Hospital, Dongcheng District, Shuaifuyuan 1#, Beijing 100730, China.Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; Institute of Basic Medical Sciences and School of Basic Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; School of Basic Medical Science, Guizhou Medical University, Guiyang, China; Corresponding author. Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongcheng District, DongDan Santiao 5#, Beijing 100730, China.Summary: Background: The pathology of keloid and especially the roles of bacteria on it were not well understood. Methods: In this study, multi-omics analyses including microbiome, metaproteomics, metabolomic, single-cell transcriptome and cell-derived xenograft (CDX) mice model were used to explore the roles of bacteria on keloid disease. Findings: We found that the types of bacteria are significantly different between keloid and healthy skin. The 16S rRNA sequencing and metaproteomics showed that more catalase (CAT) negative bacteria, Clostridium and Roseburia existed in keloid compared with the adjacent healthy skin. In addition, protein mass spectrometry shows that CAT is one of the differentially expressed proteins (DEPs). Overexpression of CAT inhibited the proliferation, migration and invasion of keloid fibroblasts, and these characteristics were opposite when CAT was knocked down. Furthermore, the CDX model showed that Clostridium butyricum promote the growth of patient's keloid fibroblasts in BALB/c female nude mice, while CAT positive bacteria Bacillus subtilis inhibited it. Single-cell RNA sequencing verified that oxidative stress was up-regulated and CAT was down-regulated in mesenchymal-like fibroblasts of keloid. Interpretation: In conclusion, our findings suggest that bacteria and CAT contribute to keloid disease. Funding: A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.http://www.sciencedirect.com/science/article/pii/S235239642300470XKeloidBacteriaCatalase16S rRNAMetaproteomics |
| spellingShingle | Mengjie Shan Meng Xiao Jiyu Xu Wei Sun Zerui Wang Wenbin Du Xiaoyu Liu Meng Nie Xing Wang Zhengyun Liang Hao Liu Yan Hao Yijun Xia Lin Zhu Kexin Song Cheng Feng Tian Meng Zhi Wang Weifang Cao Lin Wang Zhi Zheng Youbin Wang Yongsheng Huang Multi-omics analyses reveal bacteria and catalase associated with keloid diseaseResearch in context EBioMedicine Keloid Bacteria Catalase 16S rRNA Metaproteomics |
| title | Multi-omics analyses reveal bacteria and catalase associated with keloid diseaseResearch in context |
| title_full | Multi-omics analyses reveal bacteria and catalase associated with keloid diseaseResearch in context |
| title_fullStr | Multi-omics analyses reveal bacteria and catalase associated with keloid diseaseResearch in context |
| title_full_unstemmed | Multi-omics analyses reveal bacteria and catalase associated with keloid diseaseResearch in context |
| title_short | Multi-omics analyses reveal bacteria and catalase associated with keloid diseaseResearch in context |
| title_sort | multi omics analyses reveal bacteria and catalase associated with keloid diseaseresearch in context |
| topic | Keloid Bacteria Catalase 16S rRNA Metaproteomics |
| url | http://www.sciencedirect.com/science/article/pii/S235239642300470X |
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