Revealing the pathogenesis of keloids based on the status: Active vs inactive Article Swipe
Sejin Oh
,
Eunhye Yeo
,
Joonho Shim
,
Hyungrye Noh
,
Ji‐Hye Park
,
Kyeong‐Tae Lee
,
Seok‐Hyung Kim
,
Dong‐Youn Lee
,
Jong Hee Lee
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1111/exd.15088
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1111/exd.15088
Recently, the pathomechanisms of keloids have been extensively researched using transcriptomic analysis, but most studies did not consider the activity of keloids. We aimed to profile the transcriptomics of keloids according to their clinical activity and location within the keloid lesion, compared with normal and mature scars. Tissue samples were collected (keloid based on its activity (active and inactive), mature scar from keloid patients and normal scar (NS) from non‐keloid patients). To reduce possible bias, all keloids assessed in this study had no treatment history and their location was limited to the upper chest or back. Multiomics assessment was performed by using single‐cell RNA sequencing and multiplex immunofluorescence. Increased mesenchymal fibroblasts (FBs) was the main feature in keloid patients. Noticeably, the proportion of pro‐inflammatory FBs was significantly increased in active keloids compared to inactive ones. To explore the nature of proinflammatory FBs, trajectory analysis was conducted and CCN family associated with mechanical stretch exhibited higher expression in active keloids. For vascular endothelial cells (VECs), the proportion of tip and immature cells increased in keloids compared to NS, especially at the periphery of active keloids. Also, keloid VECs highly expressed genes with characteristics of mesenchymal activation compared to NS, especially those from the active keloid center. Multiomics analysis demonstrated the distinct expression profile of active keloids. Clinically, these findings may provide the future appropriate directions for development of treatment modalities of keloids. Prevention of keloids could be possible by the suppression of mesenchymal activation between FBs and VECs and modulation of proinflammatory FBs may be the key to the control of active keloids.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/exd.15088
- OA Status
- hybrid
- Cited By
- 3
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396518031
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396518031Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/exd.15088Digital Object Identifier
- Title
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Revealing the pathogenesis of keloids based on the status: Active vs inactiveWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-04-29Full publication date if available
- Authors
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Sejin Oh, Eunhye Yeo, Joonho Shim, Hyungrye Noh, Ji‐Hye Park, Kyeong‐Tae Lee, Seok‐Hyung Kim, Dong‐Youn Lee, Jong Hee LeeList of authors in order
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https://doi.org/10.1111/exd.15088Publisher landing page
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://doi.org/10.1111/exd.15088Direct OA link when available
- Concepts
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Keloid, Proinflammatory cytokine, Mesenchymal stem cell, Medicine, Transcriptome, Pathology, Cancer research, Immunology, Gene expression, Inflammation, Biology, Gene, GeneticsTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 2, 2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.collected | 51 |
| abstract_inverted_index.conducted | 146 |
| abstract_inverted_index.exhibited | 154 |
| abstract_inverted_index.expressed | 189 |
| abstract_inverted_index.increased | 128, 172 |
| abstract_inverted_index.multiplex | 107 |
| abstract_inverted_index.patients. | 119 |
| abstract_inverted_index.performed | 100 |
| abstract_inverted_index.periphery | 181 |
| abstract_inverted_index.treatment | 84, 228 |
| abstract_inverted_index.Multiomics | 97, 206 |
| abstract_inverted_index.Prevention | 232 |
| abstract_inverted_index.activation | 195, 243 |
| abstract_inverted_index.assessment | 98 |
| abstract_inverted_index.associated | 150 |
| abstract_inverted_index.directions | 224 |
| abstract_inverted_index.especially | 178, 199 |
| abstract_inverted_index.expression | 156, 211 |
| abstract_inverted_index.inactive), | 59 |
| abstract_inverted_index.mechanical | 152 |
| abstract_inverted_index.modalities | 229 |
| abstract_inverted_index.modulation | 249 |
| abstract_inverted_index.patients). | 71 |
| abstract_inverted_index.proportion | 122, 166 |
| abstract_inverted_index.researched | 9 |
| abstract_inverted_index.sequencing | 105 |
| abstract_inverted_index.trajectory | 143 |
| abstract_inverted_index.Clinically, | 216 |
| abstract_inverted_index.Noticeably, | 120 |
| abstract_inverted_index.appropriate | 223 |
| abstract_inverted_index.development | 226 |
| abstract_inverted_index.endothelial | 162 |
| abstract_inverted_index.extensively | 8 |
| abstract_inverted_index.fibroblasts | 111 |
| abstract_inverted_index.mesenchymal | 110, 194, 242 |
| abstract_inverted_index.suppression | 240 |
| abstract_inverted_index.demonstrated | 208 |
| abstract_inverted_index.non‐keloid | 70 |
| abstract_inverted_index.significantly | 127 |
| abstract_inverted_index.single‐cell | 103 |
| abstract_inverted_index.transcriptomic | 11 |
| abstract_inverted_index.characteristics | 192 |
| abstract_inverted_index.pathomechanisms | 3 |
| abstract_inverted_index.proinflammatory | 141, 251 |
| abstract_inverted_index.transcriptomics | 28 |
| abstract_inverted_index.pro‐inflammatory | 124 |
| abstract_inverted_index.immunofluorescence. | 108 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6299999952316284 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.85870445 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |