Proteomic and Transcriptional Profiles of Human Stem Cell-Derived β Cells Following Enteroviral Challenge

Autor: Sambra D. Redick, David M. Harlan, Natasha Qaisar, Jennifer P. Wang, Riccardo Racicot, Basanthi Satish, Pranitha Vangala, Agata Jurczyk, Julius O. Nyalwidhe, Dale L. Greiner, Melanie I. Trombly, Michael A. Brehm, Jerry L. Nadler, Rita Bortell
Rok vydání: 2020
Předmět:
Zdroj: Microorganisms
Volume 8
Issue 2
Microorganisms, Vol 8, Iss 2, p 295 (2020)
ISSN: 2076-2607
Popis: Enteroviral infections are implicated in islet autoimmunity and type 1 diabetes (T1D) pathogenesis. Significant &beta
cell stress and damage occur with viral infection, leading to cells that are dysfunctional and vulnerable to destruction. Human stem cell-derived &beta
(SC-&beta
) cells are insulin-producing cell clusters that closely resemble native &beta
cells. To better understand the events precipitated by enteroviral infection of &beta
cells, we investigated transcriptional and proteomic changes in SC-&beta
cells challenged with coxsackie B virus (CVB). We confirmed infection by demonstrating that viral protein colocalized with insulin-positive SC-&beta
cells by immunostaining. Transcriptome analysis showed a decrease in insulin gene expression following infection, and combined transcriptional and proteomic analysis revealed activation of innate immune pathways, including type I interferon (IFN), IFN-stimulated genes, nuclear factor-kappa B (NF-&kappa
B) and downstream inflammatory cytokines, and major histocompatibility complex (MHC) class I. Finally, insulin release by CVB4-infected SC-&beta
cells was impaired. These transcriptional, proteomic, and functional findings are in agreement with responses in primary human islets infected with CVB ex vivo. Human SC-&beta
cells may serve as a surrogate for primary human islets in virus-induced diabetes models. Because human SC-&beta
cells are more genetically tractable and accessible than primary islets, they may provide a preferred platform for investigating T1D pathogenesis and developing new treatments.
Databáze: OpenAIRE