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Herpes simplex virus 1 infection of human brain organoids and pancreatic stem cell-islets drives transcripts associated with Alzheimer’s disease and autoimmune diseases

GSE272361 Homo sapiens Expression profiling by high throughput sequencing 9 samples Submitted 2024/11/27 Platform GPL24676
Summary
Viral infections leading to inflammation have been implicated in several common diseases such as Alzheimer’s disease (AD) and type 1 diabetes (T1D). Of note, herpes simplex virus 1 (HSV-1) has been reported to be associated with AD. We sought to identify the transcriptomic changes due to HSV-1 infection and anti-viral drug (acyclovir, ACV) treatment of HSV-1 infection in dissoci-ated cells from human cerebral organoids (dcOrgs) versus stem cell-derived pancreatic islets (sc-islets) to gain potential biological insights into the relevance of HSV-1-induced inflammation in AD and T1D. We observed that differentially expressed genes (DEGs) in HSV-1-infected sc-islets were enriched for genes associated with several autoimmune diseases, most significantly T1D but also rheumatoid arthritis, psoriasis, Crohn’s disease, and multiple sclerosis, whereas DEGs in HSV-1-infected dcOrgs were exclusively enriched for genes associated with AD. ACV treatment of sc-islets did not rescue transcript expression of autoimmune disease-associated genes. Finally, we identified gene ontology categories that were enriched for DEGs that were in common across, or unique to, viral treatment of dcOrgs and sc-islets, such as categories involved in the transferase complex, mitochondrial and autophagy function. Collectively, this studies pro-vide insight to the molecular effects of inflammation in AD and T1D.
Published in
Herpes Simplex Virus 1 Infection of Human Brain Organoids and Pancreatic Stem Cell-Islets Drives Organoid-Specific Transcripts Associated with Alzheimer's Disease and Autoimmune Diseases
Sundstrom J, Vanderleeden E, Barton NJ et al. · Cells 2024 · PMID 39682726 · doi:10.3390/cells13231978
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Also filed as BioProject PRJNA1136516 and SRA study SRP520280. Searching any of these in the dataset finder brings you back here.

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