Literature DB >> 35702126

IL-4 and CCR7 play an important role in the development of keloids in patients with a family history.

Mengjie Shan1,2, Hao Liu1,2, Yan Hao1,2, Tian Meng1, Cheng Feng1, Kexin Song1, Youbin Wang1.   

Abstract

BACKGROUND: The occurrence of keloids tends to show family clusters and more severe symptoms in patients with a family history of the condition, but their pathological mechanisms remain unclear. In this study, we aimed to investigate the differences in genetic susceptibility between keloid patients with a family history of keloids and sporadic patients with sporadic keloids and explore potential therapeutic targets of keloids at the molecular level.
METHODS: High-throughput sequencing data were obtained from normal skin tissue of patients with a family history of keloids (FN group) and normal skin tissue from sporadic patients (N group). Bioinformatics analysis was employed to identify hub genes. Promising hub genes were identified using RT-qPCR, immunohistochemistry and immunofluorescence assays, and Western blotting. GO and KEGG pathway enrichment analysis was performed to determine the main functions between the two groups.
RESULTS: Patients with a family history of keloids had more severe clinical symptoms (Ρ = -0.749, P < 0.001). The expression of IL-4 and CCR7 was significantly different between patients with a family history of keloids and those with sporadic keloids. The high expression of IL-4 and the low expression of CCR7 in the FN group may be of key importance in explaining why keloids run in families (P < 0.05).
CONCLUSION: Having a family history of keloids is a risk factor for increased severity of keloids. IL-4 and CCR7 play an important role in the development of keloids in patients with a family history of the condition and may represent new targets for the treatment of keloids. AJTR
Copyright © 2022.

Entities:  

Keywords:  Keloids; bioinformatics; differentially expressed genes; family history

Year:  2022        PMID: 35702126      PMCID: PMC9185030     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   3.940


  34 in total

1.  Genome scans provide evidence for keloid susceptibility loci on chromosomes 2q23 and 7p11.

Authors:  Alexander G Marneros; James E C Norris; Shoji Watanabe; Ernst Reichenberger; Bjorn R Olsen
Journal:  J Invest Dermatol       Date:  2004-05       Impact factor: 8.551

Review 2.  Spontaneous Keloids: A Literature Review.

Authors:  Abdulhadi Jfri; Ali Alajmi
Journal:  Dermatology       Date:  2018-08-16       Impact factor: 5.366

3.  lncRNA-H19/miR-29a axis affected the viability and apoptosis of keloid fibroblasts through acting upon COL1A1 signaling.

Authors:  Zhi Wang; Cheng Feng; Kexin Song; Zheng Qi; Weiqing Huang; Youbin Wang
Journal:  J Cell Biochem       Date:  2020-01-13       Impact factor: 4.429

Review 4.  CCR7 as a therapeutic target in Cancer.

Authors:  Anwar Salem; Mashael Alotaibi; Rima Mroueh; Haneen A Basheer; Kamyar Afarinkia
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2020-12-29       Impact factor: 10.680

5.  Risk factors of keloids in Syrians.

Authors:  Abeer Shaheen; Jamal Khaddam; Fadi Kesh
Journal:  BMC Dermatol       Date:  2016-09-20

6.  Implication of interleukin-4 in wound healing.

Authors:  V Salmon-Ehr; L Ramont; G Godeau; P Birembaut; M Guenounou; P Bernard; F X Maquart
Journal:  Lab Invest       Date:  2000-08       Impact factor: 5.662

7.  Comparative effect of topical silicone gel and topical tretinoin cream for the prevention of hypertrophic scar and keloid formation and the improvement of scars.

Authors:  S Y Kwon; S D Park; K Park
Journal:  J Eur Acad Dermatol Venereol       Date:  2013-08-19       Impact factor: 6.166

Review 8.  Molecular aspects of regulation of collagen gene expression in fibrosis.

Authors:  Rashpal K Bhogal; Cristina M Stoica; Tracy L McGaha; Constantin A Bona
Journal:  J Clin Immunol       Date:  2005-11       Impact factor: 8.317

Review 9.  Keloids: The paradigm of skin fibrosis - Pathomechanisms and treatment.

Authors:  Jonathan P Andrews; Jaana Marttala; Edward Macarak; Joel Rosenbloom; Jouni Uitto
Journal:  Matrix Biol       Date:  2016-02-02       Impact factor: 11.583

10.  Metascape provides a biologist-oriented resource for the analysis of systems-level datasets.

Authors:  Yingyao Zhou; Bin Zhou; Lars Pache; Max Chang; Alireza Hadj Khodabakhshi; Olga Tanaseichuk; Christopher Benner; Sumit K Chanda
Journal:  Nat Commun       Date:  2019-04-03       Impact factor: 14.919

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  1 in total

1.  The Role of CD28 and CD8+ T Cells in Keloid Development.

Authors:  Mengjie Shan; Hao Liu; Yan Hao; Kexin Song; Cheng Feng; Youbin Wang
Journal:  Int J Mol Sci       Date:  2022-08-09       Impact factor: 6.208

  1 in total

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