Cargando…
Transcriptomic profiling of blood from autoimmune hepatitis patients reveals potential mechanisms with implications for management
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 u...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8936448/ https://www.ncbi.nlm.nih.gov/pubmed/35312680 http://dx.doi.org/10.1371/journal.pone.0264307 |
_version_ | 1784672220655648768 |
---|---|
author | 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. |
author_facet | 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. |
author_sort | Tana, Michele May-Sien |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8936448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-89364482022-03-22 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. PLoS One Research Article 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. Public Library of Science 2022-03-21 /pmc/articles/PMC8936448/ /pubmed/35312680 http://dx.doi.org/10.1371/journal.pone.0264307 Text en © 2022 Tana et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article 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. Transcriptomic profiling of blood from autoimmune hepatitis patients reveals potential mechanisms with implications for management |
title | Transcriptomic profiling of blood from autoimmune hepatitis patients reveals potential mechanisms with implications for management |
title_full | Transcriptomic profiling of blood from autoimmune hepatitis patients reveals potential mechanisms with implications for management |
title_fullStr | Transcriptomic profiling of blood from autoimmune hepatitis patients reveals potential mechanisms with implications for management |
title_full_unstemmed | Transcriptomic profiling of blood from autoimmune hepatitis patients reveals potential mechanisms with implications for management |
title_short | Transcriptomic profiling of blood from autoimmune hepatitis patients reveals potential mechanisms with implications for management |
title_sort | transcriptomic profiling of blood from autoimmune hepatitis patients reveals potential mechanisms with implications for management |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8936448/ https://www.ncbi.nlm.nih.gov/pubmed/35312680 http://dx.doi.org/10.1371/journal.pone.0264307 |
work_keys_str_mv | AT tanamichelemaysien transcriptomicprofilingofbloodfromautoimmunehepatitispatientsrevealspotentialmechanismswithimplicationsformanagement AT klepperarielle transcriptomicprofilingofbloodfromautoimmunehepatitispatientsrevealspotentialmechanismswithimplicationsformanagement AT lydenamy transcriptomicprofilingofbloodfromautoimmunehepatitispatientsrevealspotentialmechanismswithimplicationsformanagement AT piscoangelaoliveira transcriptomicprofilingofbloodfromautoimmunehepatitispatientsrevealspotentialmechanismswithimplicationsformanagement AT phelpsmaira transcriptomicprofilingofbloodfromautoimmunehepatitispatientsrevealspotentialmechanismswithimplicationsformanagement AT mcgeebreann transcriptomicprofilingofbloodfromautoimmunehepatitispatientsrevealspotentialmechanismswithimplicationsformanagement AT greenkelsey transcriptomicprofilingofbloodfromautoimmunehepatitispatientsrevealspotentialmechanismswithimplicationsformanagement AT fengsandy transcriptomicprofilingofbloodfromautoimmunehepatitispatientsrevealspotentialmechanismswithimplicationsformanagement AT derisijoseph transcriptomicprofilingofbloodfromautoimmunehepatitispatientsrevealspotentialmechanismswithimplicationsformanagement AT crawfordemilydawn transcriptomicprofilingofbloodfromautoimmunehepatitispatientsrevealspotentialmechanismswithimplicationsformanagement AT lammertcraigs transcriptomicprofilingofbloodfromautoimmunehepatitispatientsrevealspotentialmechanismswithimplicationsformanagement |