Literature DB >> 25118807

Profile of microRNAs associated with aging in rat liver.

Shima Mimura1, Hisakazu Iwama2, Kiyohito Kato1, Kei Nomura1, Mitsuyoshi Kobayashi1, Hirohito Yoneyama1, Hisaaki Miyoshi1, Joji Tani1, Asahiro Morishita1, Takashi Himoto1, Akihiro Deguchi1, Takako Nomura1, Teppei Sakamoto1, Koji Fujita1, Emiko Maeda1, Kunihiko Izuishi3, Keiichi Okano2, Yasuyuki Suzuki2, Tsutomu Masaki1.   

Abstract

Recent studies suggest that small non‑coding microRNAs (miRNAs or miRs) play an important role in the regulation of genes involved in various cellular and developmental processes. However, the expression of miRNAs during the aging process remains largely unknown. The aim of the present study was to analyze miRNA expression profiles in rat livers during the aging process. The livers of male Wistar rats at different stages of development (fetal, aged 3 days, and 1, 2, 4, 8 and 36 weeks of age) were used. Total RNA was extracted from the livers. We analyzed the expression levels of 679 rat miRNA probes. In addition, immunohistochemical staining for proliferating cell nuclear antigen (PCNA) was performed. Several up- and downregulated miRNAs were identified in the rat livers at 7 different fetal developmental stages and at 36 weeks of age. We observed the upregulation of miR‑29a, miR‑29c, miR‑195 and miR‑497, whereas miR‑301a, miR‑148b-3p, miR‑7a, miR‑93, miR‑106b, miR‑185, miR‑450a, miR‑539 and miR‑301b were downregulated in the aging rat livers. The number of PCNA-positive hepatocytes was decreased with age. In conclusion, our findings suggest that these up- and downregulated miRNAs play an important role in aging by regulating cell cycles that are involved in liver senescence. Further investigation is required to reveal additional target genes of the miRNAs expressed in the liver and the roles of miRNAs in the developmental process of aging in the liver.

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Year:  2014        PMID: 25118807     DOI: 10.3892/ijmm.2014.1892

Source DB:  PubMed          Journal:  Int J Mol Med        ISSN: 1107-3756            Impact factor:   4.101


  16 in total

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