Literature DB >> 29605259

Gene expression profiling coupled with Connectivity Map database mining reveals potential therapeutic drugs for Hirschsprung disease.

Shang-Jie Xiao1, Xiao-Chun Zhu1, Hua Deng2, Wei-Ping Zhou2, Wen-Yi Yang3, Li-Ke Yuan1, Jiang-Yu Zhang4, Song Tian1, Lu Xu1, Liang Zhang5, Hui-Min Xia6.   

Abstract

BACKGROUND: Hirschsprung disease (HD) is a congenital intestinal anomaly resulting from a failure to form enteric ganglia in the lower bowel. Surgery is the main therapeutic strategy, although neural stem cell transplantation has recently shown promise. However, HD remains a challenging disorder to treat. Our aim was to identify drugs that could counteract the dysregulated pathways in HD and could thus be potential novel therapies.
METHODS: We used microarray analysis to identify genes differentially expressed in ganglionic and aganglionic bowel samples from eight children with HD. The signature of differentially expressed genes was then used as a search query to explore the Connectivity Map (cMAP), a transcriptional expression database that catalogs gene signatures elicited by chemical perturbagens.
RESULTS: We uncovered several dysregulated signaling pathways, and in particular regulation of neuron development, in HD. The cMAP search identified some compounds with the potential to counteract the effects of the dysregulated molecular signature in this disease. One of these, pepstatin A, was recently shown to rescue the migration defects observed in a mouse model of HD, providing strong support for our findings.
CONCLUSIONS: This study advances our understanding of the molecular changes in HD and identifies several potential pharmacological interventions. Further testing of the identified compounds is warranted.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Connectivity Map; Hirschsprung disease; Microarray; Neuron development; Therapeutic drugs

Mesh:

Substances:

Year:  2018        PMID: 29605259     DOI: 10.1016/j.jpedsurg.2018.02.060

Source DB:  PubMed          Journal:  J Pediatr Surg        ISSN: 0022-3468            Impact factor:   2.545


  4 in total

1.  Identification of anthelmintic parbendazole as a therapeutic molecule for HNSCC through connectivity map-based drug repositioning.

Authors:  Dong Liang; Chen Yu; Zhao Ma; Xingye Yang; Zhenzhen Li; Xuhui Dong; Xiaojun Qin; Lupei Du; Minyong Li
Journal:  Acta Pharm Sin B       Date:  2021-12-20       Impact factor: 14.903

2.  Identification of putative drugs for gastric adenocarcinoma utilizing differentially expressed genes and connectivity map.

Authors:  Zu-Xuan Chen; Xiao-Ping Zou; Huang-Qun Yan; Rui Zhang; Jin-Shu Pang; Xin-Gan Qin; Rong-Quan He; Jie Ma; Zhen-Bo Feng; Gang Chen; Ting-Qing Gan
Journal:  Mol Med Rep       Date:  2018-12-13       Impact factor: 2.952

3.  A Network Pharmacology Approach for the Identification of Common Mechanisms of Drug-Induced Peripheral Neuropathy.

Authors:  Guillermo de Anda-Jáuregui; Brett A McGregor; Kai Guo; Junguk Hur
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-02-20

4.  Genome‑wide investigation of the clinical implications and molecular mechanism of long noncoding RNA LINC00668 and protein‑coding genes in hepatocellular carcinoma.

Authors:  Xiangkun Wang; Xin Zhou; Junqi Liu; Zhengqian Liu; Linbo Zhang; Yizhen Gong; Jianlu Huang; Long Yu; Qiaoqi Wang; Chengkun Yang; Xiwen Liao; Tingdong Yu; Chuangye Han; Guangzhi Zhu; Xinping Ye; Tao Peng
Journal:  Int J Oncol       Date:  2019-08-14       Impact factor: 5.650

  4 in total

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