Digital Gene Expression Profiling Analysis of Aged Mice under Moxibustion Treatment. (2nd May 2018)

• Record Type: Journal Article
• Authors: Liu, Nan; Jiang, Yunyao; Xing, Min; Zhao, Baixiao; Hou, Jincai; Lim, Minyee; Huang, Jian; Luo, Xue; Han, Li
• Other Names: Zaslawski Chris Academic Editor.
• Is Part Of: Evidence-based complementary and alternative medicine. Volume 2018(2018)
• Publication Date: 2018-05-02
• Subjects: Alternative medicine -- Periodicals; 615.505
• DOI: 10.1155/2018/4767328
• Languages: English
• ISSNs: 1741-427X

Abstract

Abstract : Aging is closely connected with death, progressive physiological decline, and increased risk of diseases, such as cancer, arteriosclerosis, heart disease, hypertension, and neurodegenerative diseases. It is reported that moxibustion can treat more than 300 kinds of diseases including aging related problems and can improve immune function and physiological functions. The digital gene expression profiling of aged mice with or without moxibustion treatment was investigated and the mechanisms of moxibustion in aged mice were speculated by gene ontology and pathway analysis in the study. Almost 145 million raw reads were obtained by digital gene expression analysis and about 140 million (96.55%) were clean reads. Five differentially expressed genes with an adjusted P value < 0.05 and | log ⁡ 2 ( f o l d c h a n g e ) | > 1 were identified between the control and moxibustion groups. They were Gm6563, Gm8116, Rps26-ps1, Nat8f4, and Igkv3-12. Gene ontology analysis was carried out by the GOseq R package and functional annotations of the differentially expressed genes related to translation, mRNA export from nucleus, mRNA transport, nuclear body, acetyltransferase activity, and so on. Kyoto Encyclopedia of Genes and Genomes database was used for pathway analysis and ribosome was the most significantly enriched pathway term.