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Exploring Gene Expression Profiles in Primary Central Nervous System Vasculitis.
Salvarani, Carlo; Paludo, Jonas; Hunder, Gene G; Ansell, Stephen M; Giannini, Caterina; Parisi, Joseph E; Huston, John; Koster, Matthew J; Warrington, Kenneth J; Croci, Stefania; Brown, Robert D.
Afiliação
  • Salvarani C; Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Paludo J; Division of Rheumatology, Local Health Unit Company-Institute of Hospitalization and Scientific Care, Reggio Emilia, Italy.
  • Hunder GG; Division of Hematology, Mayo Clinic, Rochester, MN, USA.
  • Ansell SM; Division of Rheumatology, Mayo Clinic, Rochester, MN, USA.
  • Giannini C; Division of Hematology, Mayo Clinic, Rochester, MN, USA.
  • Parisi JE; Department of Anatomic Pathology, Mayo Clinic, Rochester, MN, USA.
  • Huston J; Department of Anatomic Pathology, Mayo Clinic, Rochester, MN, USA.
  • Koster MJ; Department of Radiology, Mayo Clinic, Rochester, MN, USA.
  • Warrington KJ; Division of Rheumatology, Mayo Clinic, Rochester, MN, USA.
  • Croci S; Division of Rheumatology, Mayo Clinic, Rochester, MN, USA.
  • Brown RD; Clinical Immunology, Allergy and Advanced Biotechnologies Unit, USL-IRCCS of Reggio Emilia, Reggio Emilia, Italy.
Ann Neurol ; 93(1): 120-130, 2023 01.
Article em En | MEDLINE | ID: mdl-36264136
OBJECTIVE: This study was undertaken to explore the gene expression profile of primary central nervous system vasculitis (PCNSV). METHODS: Brain specimens of 4 patients with granulomatous vasculitis (GV), 5 with lymphocytic vasculitis (LV), 4 with amyloid ß-related angiitis (ABRA), and 4 normal controls were studied. RNA-sequencing was performed using the Illumina Hiseq-4,000 platform and the Illumina TruSeq Total-RNA library. Student t test and false discovery rate tests were performed for each of the differentially expressed transcripts. Ingenuity Pathway Analysis was used for the pathway expression analysis. CIBERSORT was used to estimate the abundances of different immune cell subsets in the tissues based on gene expression data. RESULTS: Transcripts differentially expressed between PCNSV and normal brain indicated that endosomal, mitochondrial, and ribosome dysfunction, alterations in protein synthesis, and noncoding RNAs might be involved in PCNSV. Pathway analysis revealed the activation of dendritic cell maturation and antigen processing as well as neuroinflammation in PCNSV versus normal brain, whereas oxidative phosphorylation was inhibited. CIBERSORT estimation of immune cell subsets suggested that activated NK cells, M1 macrophages, memory B cells, and follicular helper T cells were likely to be more prevalent in PCNSV samples. Naïve CD4 T cells and monocytes were mainly estimated to be present in GV and ABRA. Plasma cell and γδ T-cell signatures were mainly found in LV and normal brain. GV showed higher levels of genes associated with macrophage activities and T cells. ABRA showed higher levels of long noncoding RNAs and miR-616. LV showed higher levels of genes encoding immunoglobulins. INTERPRETATION: RNA sequencing confirmed PCNSV heterogeneity. ANN NEUROL 2023;93:120-130.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vasculite do Sistema Nervoso Central / MicroRNAs Limite: Humans Idioma: En Revista: Ann Neurol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vasculite do Sistema Nervoso Central / MicroRNAs Limite: Humans Idioma: En Revista: Ann Neurol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos