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Immune gene expression and functional networks in distinct lupus nephritis classes.
Gilmore, Alyssa C; Wilson, Hannah R; Cairns, Thomas D; Botto, Marina; Lightstone, Liz; Bruce, Ian N; Terence Cook, Herbert; Pickering, Matthew Caleb.
Afiliação
  • Gilmore AC; Department of Immunology and Inflammation, Imperial College London, London, UK.
  • Wilson HR; Department of Immunology and Inflammation, Imperial College London, London, UK.
  • Cairns TD; Imperial Lupus Centre, Imperial College Healthcare NHS Trust, London, UK.
  • Botto M; Department of Immunology and Inflammation, Imperial College London, London, UK.
  • Lightstone L; Imperial Lupus Centre, Imperial College Healthcare NHS Trust, London, UK.
  • Bruce IN; Department of Immunology and Inflammation, Imperial College London, London, UK.
  • Terence Cook H; Imperial Lupus Centre, Imperial College Healthcare NHS Trust, London, UK.
  • Pickering MC; Centre for Epidemiology Versus Arthritis, Faculty of Biology, Medicine and Health, The University of Manchester and NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom, The University
Lupus Sci Med ; 9(1)2022 01.
Article em En | MEDLINE | ID: mdl-35074933
ABSTRACT

OBJECTIVE:

To explore the utility of the NanoString platform in elucidating kidney immune transcripts for class III, IV and V lupus nephritis (LN) using a retrospective cohort of formalin-fixed paraffin-embedded (FFPE) kidney biopsy tissue.

METHODS:

Immune gene transcript analysis was performed using the NanoString nCounter platform on RNA from LN (n=55), thin basement membrane (TBM) disease (n=14) and membranous nephropathy (MN) (n=9) FFPE kidney biopsy tissue. LN samples consisted of single class III (n=11), IV (n=23) and V (n=21) biopsies with no mixed lesions. Differential gene expression was performed with NanoString nSolver, with visualisations of volcano plots and heatmaps generated in R. Significant transcripts were interrogated to identify functional networks using STRING and Gene ontogeny terms.

RESULTS:

In comparison to TBM, we identified 52 significantly differentially expressed genes common to all three LN classes. Pathway analysis showed enrichment for type I interferon (IFN) signalling, complement and MHC II pathways, with most showing the highest expression in class IV LN. Our class IV LN biopsies also showed significant upregulation of NF-κB signalling and immunological enrichment in comparison to class V LN biopsies. Transcripts from the type I IFN pathway distinguished class V LN from MN.

CONCLUSION:

Our whole kidney section transcriptomic analysis provided insights into the molecular profile of class III, IV and V LN. The data highlighted important pathways common to all three classes and pathways enriched in our class IV LN biopsies. The ability to reveal molecular pathways in LN using FFPE whole biopsy sections could have clinical utility in treatment selection for LN.
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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Nefrite Lúpica / Lúpus Eritematoso Sistêmico Tipo de estudo: Observational_studies Limite: Humans Idioma: En Revista: Lupus Sci Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Nefrite Lúpica / Lúpus Eritematoso Sistêmico Tipo de estudo: Observational_studies Limite: Humans Idioma: En Revista: Lupus Sci Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido