- Home
- Featured Publications
- Center Publications
- Conserved Transcriptional Signatures in Human and Murine Diabetic Peripheral Neuropathy.
Conserved Transcriptional Signatures in Human and Murine Diabetic Peripheral Neuropathy.
Citation | “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
|
Download citation |