{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T20:41:40Z","timestamp":1780778500598,"version":"3.54.1"},"reference-count":54,"publisher":"IMR Press","issue":"4","license":[{"start":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T00:00:00Z","timestamp":1609286400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Integr. Neurosci."],"abstract":"<jats:p>Huntington\u2019s disease is an autosomal dominant hereditary neurodegenerative disease characterized by progressive dystonia, chorea and cognitive or psychiatric disturbances. The leading cause is the Huntington gene mutation on the patient\u2019s chromosome 4 that produces a mutated protein. Recently, attention has focused on the relationship between microRNAs and Huntington\u2019s disease\u2019s pathogenesis. In Huntington\u2019s disease, microRNAs can interact with various transcriptionfactors; dysregulated microRNAs may be associated with the Cytosine deoxynucleotide-Adenine ribonucleotides-Guanine ribonucleotide length and Huntington\u2019s disease\u2019s progression and severity. This study explores the role of microRNAs in the pathogenesis of Huntington\u2019s disease through bioinformatics analysis. By analyzing data from the Gene Expression Omnibus database, we identified a total of 9 differentially expressed microRNA. Subsequently, target genes and long non-coding RNAs were predicted, and a comprehensive regulatory network centered on microRNA was constructed. The microRNA integrated regulatory network, Homo sapiens (hsa)-miR-144-3p, interacted with the largest number of long non-coding RNAs, including X-inactive specific transcriptand taurine upregulated gene 1. The miRNAs, hsa-miR-10b-5p and hsa-miR-196a-5p, regulated most of the target genes, including class I homeobox and brain-derived neurotrophic factorgenes. Additionally, 59 Gene Ontology terms and eight enrichment pathways were identified by analyzing the target genes of hsa-miR-196a-5p and hsa-microRNA-10b-5p. In conclusion, hsa-miR-10b-5p and hsa-miR-196a-5p were significantly and differentially expressed in Huntington\u2019s disease, the long non-coding RNAs X-inactive specific transcript, taurine upregulated gene 1, and target genes such as homeobox or brain-derived neurotrophic factor may play critical roles in the pathogenesis of Huntington\u2019s disease.<\/jats:p>","DOI":"10.31083\/j.jin.2020.04.203","type":"journal-article","created":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T08:55:06Z","timestamp":1609318506000},"source":"Crossref","is-referenced-by-count":17,"title":["Bioinformatic analysis of a microRNA regulatory network in Huntington\u2019s disease"],"prefix":"10.31083","volume":"19","author":[{"given":"Zhi-Min","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, 110004, P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao-Yu","family":"Dong","sequence":"first","affiliation":[{"name":"Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, 110004, P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shu-Yan","family":"Cong","sequence":"first","affiliation":[{"name":"Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, 110004, P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"16242","published-online":{"date-parts":[[2020,12,30]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Ban, J. J., Chung, J. Y., Lee, M., Im, W. and Kim, M. (2017) Microrna-27a reduces mutant hutingtin aggregation in an in vitro model of Huntington\u2019s disease. 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