echemi logo
Product
  • Product
  • Supplier
  • Inquiry
    Home > Active Ingredient News > Immunology News > ARD: a large-scale analysis of longitudinal skin gene expression in systemic sclerosis

    ARD: a large-scale analysis of longitudinal skin gene expression in systemic sclerosis

    • Last Update: 2022-04-17
    • Source: Internet
    • Author: User
    Search more information of high quality chemicals, good prices and reliable suppliers, visit www.echemi.com

    OBJECTIVE: Skin gene expression is dysregulated but heterogeneous in patients with systemic sclerosis (SSc) .
    The relationship between clinical disease characteristics and skin gene expression is not fully established, and the extent to which skin gene expression changes in individuals over time is unknown .
    The aim of this study was to determine the relationship between skin gene expression and clinical disease characteristics of SSc , as well as changes in skin gene expression over time .

    OBJECTIVE: Skin gene expression is dysregulated but heterogeneous in patients with systemic sclerosis (SSc) .


    The relationship between clinical disease characteristics and skin gene expression is not fully established, and the extent to which skin gene expression changes in individuals over time is unknown .
    The aim of this study was to determine the relationship between skin gene expression and clinical disease characteristics of SSc , as well as changes in skin gene expression over time .

    Methods: A total of 339 forearm skin biopsies were obtained from 113 SSc patients and 44 matched healthy controls .


    A second biopsy was performed in 105 patients with SSc and a third biopsy was performed in 76 patients .
    Global gene expression profiling was performed and differentially expressed genes and cell type-specific signatures in SSc were assessed in relation to the modified Rodnan skin score (mRSS) and other clinical variables .
    Changes in skin gene expression over time were analyzed by mixed-effects model and principal component analysis .


    Methods: A total of 339 forearm skin biopsies were obtained from 113 SSc patients and 44 matched healthy controls .
    A second biopsy was performed in 105 patients with SSc and a third biopsy was performed in 76 patients .
    Global gene expression profiling was performed and differentially expressed genes and cell type-specific signatures in SSc were assessed in relation to the modified Rodnan skin score (mRSS) and other clinical variables .
    Changes in skin gene expression over time were analyzed by mixed-effects model and principal component analysis .
    Immunohistochemical staining was performed to verify the conclusion .

         Results: Gene expression dysregulation was more severe in affected skin in patients with SSc than in patients with uninvolved skin .


    Immune cell and fibroblast characteristics were positively correlated with mRSS .
    High baseline immune cell and fibroblast characteristics predicted higher mRSS over time, but did not independently predict longitudinal mRSS after adjusting for baseline mRSS .
    In early diffuse cutaneous SSc , immune cell and fibroblast characteristics declined over time, and overall skin gene expression normalized .
    On immunohistochemical staining, most patients with early-stage diffuse cutaneous SSc with high baseline T cell and macrophage counts decreased these counts at follow-up .

         Results: Gene expression dysregulation was more severe in affected skin in patients with SSc than in patients with uninvolved skin .
    Immune cell and fibroblast characteristics were positively correlated with mRSS .
    High baseline immune cell and fibroblast characteristics predicted higher mRSS over time, but did not independently predict longitudinal mRSS after adjusting for baseline mRSS .
    In early diffuse cutaneous SSc , immune cell and fibroblast characteristics declined over time, and overall skin gene expression normalized .
    On immunohistochemical staining, most patients with early-stage diffuse cutaneous SSc with high baseline T cell and macrophage counts decreased these counts at follow-up .

         Conclusion: SSc skin thickness is associated with dysregulated gene expression in immune cells and fibroblasts
    .


    In early diffuse SSc , skin gene expression changes over time and tends to normalize


         Conclusion: SSc skin thickness is associated with dysregulated gene expression in immune cells and fibroblasts


     

    Source: Skaug B, Lyons MA, Swindell WR , et al .


    Large-scale analysis of longitudinal skin gene expression in systemic sclerosis reveals relationships of immune cell and fibroblast activity with skin thickness and a trend towards normalisation over time.
    Annals of the Rheumatic Diseases  2022; 81: 516-523.


    Skaug B, Lyons MA, Swindell WR , et al .
    Large-scale analysis of longitudinal skin gene expression in systemic sclerosis reveals relationships of immune cell and fibroblast activity with skin thickness and a trend towards normalisation over time.
    Annals of the Rheumatic Diseases  2022; 81: 516-523.
    , et al Annals of the Rheumatic Diseases  81: Comment here
    This article is an English version of an article which is originally in the Chinese language on echemi.com and is provided for information purposes only. This website makes no representation or warranty of any kind, either expressed or implied, as to the accuracy, completeness ownership or reliability of the article or any translations thereof. If you have any concerns or complaints relating to the article, please send an email, providing a detailed description of the concern or complaint, to service@echemi.com. A staff member will contact you within 5 working days. Once verified, infringing content will be removed immediately.

    Contact Us

    The source of this page with content of products and services is from Internet, which doesn't represent ECHEMI's opinion. If you have any queries, please write to service@echemi.com. It will be replied within 5 days.

    Moreover, if you find any instances of plagiarism from the page, please send email to service@echemi.com with relevant evidence.