Your browser doesn't support javascript.
loading
Transcriptomic profiling of blood from autoimmune hepatitis patients reveals potential mechanisms with implications for management.
Tana, Michele May-Sien; Klepper, Arielle; Lyden, Amy; Pisco, Angela Oliveira; Phelps, Maira; McGee, Breann; Green, Kelsey; Feng, Sandy; DeRisi, Joseph; Crawford, Emily Dawn; Lammert, Craig S.
Afiliación
  • Tana MM; University of California, San Francisco, CA, United States of America.
  • Klepper A; UCSF Liver Center, San Francisco, CA, United States of America.
  • Lyden A; University of California, San Francisco, CA, United States of America.
  • Pisco AO; Chan Zuckerberg Biohub, San Francisco, CA, United States of America.
  • Phelps M; Chan Zuckerberg Biohub, San Francisco, CA, United States of America.
  • McGee B; Chan Zuckerberg Biohub, San Francisco, CA, United States of America.
  • Green K; University of Indiana, Bloomington, IN, United States of America.
  • Feng S; University of Indiana, Bloomington, IN, United States of America.
  • DeRisi J; University of California, San Francisco, CA, United States of America.
  • Crawford ED; UCSF Liver Center, San Francisco, CA, United States of America.
  • Lammert CS; University of California, San Francisco, CA, United States of America.
PLoS One ; 17(3): e0264307, 2022.
Article en En | MEDLINE | ID: mdl-35312680
ABSTRACT
Autoimmune hepatitis (AIH) is a poorly understood, chronic disease, for which corticosteroids are still the mainstay of therapy and most patients undergo liver biopsy to obtain a diagnosis. We aimed to determine if there was a transcriptomic signature of AIH in the peripheral blood and investigate underlying biologic pathways revealed by gene expression analysis. Whole blood RNA from 75 AIH patients and 25 healthy volunteers was extracted and sequenced. Differential gene expression analysis revealed 249 genes that were significantly differentially expressed in AIH patients compared to controls. Using a random forest algorithm, we determined that less than 10 genes were sufficient to differentiate the two groups in our cohort. Interferon signaling was more active in AIH samples compared to controls, regardless of treatment status. Pegivirus sequences were detected in five AIH samples and 1 healthy sample. The gene expression data and clinical metadata were used to determine 12 genes that were significantly associated with advanced fibrosis in AIH. AIH patients with a partial response to therapy demonstrated decreased evidence of a CD8+ T cell gene expression signal. These findings represent progress in understanding a disease in need of better tests, therapies, and biomarkers.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Hepatitis Autoinmune Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Hepatitis Autoinmune Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos