TY - JOUR
T1 - Identifying RNA Biomarkers and Molecular Pathways Involved in Multiple Subtypes of Uveitis
AU - Rosenbaum, James T.
AU - Harrington, Christina A.
AU - Searles, Robert P.
AU - Fei, Suzanne S.
AU - Zaki, Amr
AU - Arepalli, Sruthi
AU - Paley, Michael A.
AU - Hassman, Lynn M.
AU - Vitale, Albert T.
AU - Conrady, Christopher D.
AU - Keath, Puthyda
AU - Mitchell, Claire
AU - Watson, Lindsey
AU - Planck, Stephen R.
AU - Martin, Tammy M.
AU - Choi, Dongseok
N1 - Funding Information:
Funding/Support: This research was supported by National Institutes of Health (NIH) NEI Grant EY026572 and Core Grant NIH NEI P30 EY010572. J.T.R. receives support from the Grandmaison Fund for Autoimmunity Research, the William and Mary Bauman Foundation, the Stan and Madelle Rosenfeld Family Trust. The Casey Eye Institute receives support from Research to Prevent Blindness. C.D.C. received support from the Heed Ophthalmic Fellowship. RNA isolation and RNA-Seq were performed in the OHSU Gene Profiling Shared Resource and Massively Parallel Sequencing Shared Resource, respectively. Data processing was performed in the Oregon National Primate Research Center's Bioinformatics & Biostatistics Core, which is funded in part by NIH grant OD P51 OD011092.
Publisher Copyright:
© 2021 Elsevier Inc.
PY - 2021/6
Y1 - 2021/6
N2 - Purpose: Uveitis is a heterogeneous collection of diseases. We tested the hypothesis that despite the diversity of uveitides, there could be common mechanisms shared by multiple subtypes, and that evidence of these common mechanisms may be detected as gene expression profiles in whole blood. Design: Cohort study. Methods: Ninety subjects with uveitis including axial spondyloarthritis (n = 17), sarcoidosis (n = 13), inflammatory bowel disease (n = 12), tubulointerstitial nephritis with uveitis (n = 10), or idiopathic uveitis (n = 38) as well as 18 healthy controls were enrolled, predominantly at Oregon Health & Science University. RNA-Seq data generated from peripheral, whole blood identified 19,859 unique transcripts. We analyzed gene expression pathways via Kyoto Encyclopedia of Genes and Genomes and Gene Ontology (GO). We validated our list of upregulated genes by comparison to a previously published study on peripheral blood gene expression among 50 subjects with diverse forms of uveitis. Results: Both the Kyoto Encyclopedia of Genes and Genomes and GO analysis identified multiple shared pathways or GO terms with a P value of <.0001. Almost all pathways related to the immune response and/or response to an infection. A total of 119 individual transcripts were upregulated by at least 1.5-fold and false discovery rate <.05, and 61 were downregulated by similar criteria. Comparing mRNA from our study with a false discovery rate <.05 and the prior report, we identified 10 common gene transcripts: ICAM1, IL15RA, IL15, IRF1, IL10RB, GSK3A, TYK2, MEF2A, MEF2B, and MEF2D. Conclusions: Many forms of uveitis share overlapping mechanisms. These data support the concept that a single therapeutic approach could benefit diverse forms of this disease.
AB - Purpose: Uveitis is a heterogeneous collection of diseases. We tested the hypothesis that despite the diversity of uveitides, there could be common mechanisms shared by multiple subtypes, and that evidence of these common mechanisms may be detected as gene expression profiles in whole blood. Design: Cohort study. Methods: Ninety subjects with uveitis including axial spondyloarthritis (n = 17), sarcoidosis (n = 13), inflammatory bowel disease (n = 12), tubulointerstitial nephritis with uveitis (n = 10), or idiopathic uveitis (n = 38) as well as 18 healthy controls were enrolled, predominantly at Oregon Health & Science University. RNA-Seq data generated from peripheral, whole blood identified 19,859 unique transcripts. We analyzed gene expression pathways via Kyoto Encyclopedia of Genes and Genomes and Gene Ontology (GO). We validated our list of upregulated genes by comparison to a previously published study on peripheral blood gene expression among 50 subjects with diverse forms of uveitis. Results: Both the Kyoto Encyclopedia of Genes and Genomes and GO analysis identified multiple shared pathways or GO terms with a P value of <.0001. Almost all pathways related to the immune response and/or response to an infection. A total of 119 individual transcripts were upregulated by at least 1.5-fold and false discovery rate <.05, and 61 were downregulated by similar criteria. Comparing mRNA from our study with a false discovery rate <.05 and the prior report, we identified 10 common gene transcripts: ICAM1, IL15RA, IL15, IRF1, IL10RB, GSK3A, TYK2, MEF2A, MEF2B, and MEF2D. Conclusions: Many forms of uveitis share overlapping mechanisms. These data support the concept that a single therapeutic approach could benefit diverse forms of this disease.
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U2 - 10.1016/j.ajo.2021.01.007
DO - 10.1016/j.ajo.2021.01.007
M3 - Article
C2 - 33503442
AN - SCOPUS:85103770840
SN - 0002-9394
VL - 226
SP - 226
EP - 234
JO - American Journal of Ophthalmology
JF - American Journal of Ophthalmology
ER -