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Conserved Transcriptional Signatures in Human and Murine Diabetic Peripheral Neuropathy.

Citation
McGregor, B. A., et al. “Conserved Transcriptional Signatures In Human And Murine Diabetic Peripheral Neuropathy.”. Scientific Reports, p. 17678.
Center University of Michigan
Author Brett A McGregor, Stephanie Eid, Amy E Rumora, Benjamin Murdock, Kai Guo, Guillermo de Anda-Jáuregui, James E Porter, Eva L Feldman, Junguk Hur
Abstract

Diabetic peripheral neuropathy (DPN) is one of the most common complications of diabetes. In this study, we employed a systems biology approach to identify DPN-related transcriptional pathways conserved across human and various murine models. Eight microarray datasets on peripheral nerve samples from murine models of type 1 (streptozotocin-treated) and type 2 (db/db and ob/ob) diabetes of various ages and human subjects with non-progressive and progressive DPN were collected. Differentially expressed genes (DEGs) were identified between non-diabetic and diabetic samples in murine models, and non-progressive and progressive human samples using a unified analysis pipeline. A transcriptional network for each DEG set was constructed based on literature-derived gene-gene interaction information. Seven pairwise human-vs-murine comparisons using a network-comparison program resulted in shared sub-networks including 46 to 396 genes, which were further merged into a single network of 688 genes. Pathway and centrality analyses revealed highly connected genes and pathways including LXR/RXR activation, adipogenesis, glucocorticoid receptor signalling, and multiple cytokine and chemokine pathways. Our systems biology approach identified highly conserved pathways across human and murine models that are likely to play a role in DPN pathogenesis and provide new possible mechanism-based targets for DPN therapy.

Year of Publication
2018
Journal
Scientific reports
Volume
8
Issue
1
Number of Pages
17678
Date Published
12/2018
ISSN Number
2045-2322
DOI
10.1038/s41598-018-36098-5
Alternate Journal
Sci Rep
PMID
30518872
PMCID
PMC6281650
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