| Literature DB >> 35357643 |
Gavin Yong-Quan Ng1, Dominic Paul Lee Kok Sheng2, Han-Gyu Bae3, Sung Wook Kang1, David Yang-Wei Fann1, Jinsu Park3, Joonki Kim1,4, Asfa Alli-Shaik5, Jeongmi Lee3, Eunae Kim3, Sunyoung Park3, Jeung-Whan Han3, Vardan Karamyan6, Eitan Okun7, Thameem Dheen8, Manoor Prakash Hande1, Raghu Vemuganti9, Karthik Mallilankaraman1, Lina H K Lim1, Brian K Kennedy1,10,11, Grant R Drummond12, Christopher G Sobey12, Jayantha Gunaratne5,8, Mark P Mattson13, Roger Sik-Yin Foo14,15, Dong-Gyu Jo16, Thiruma V Arumugam17,18,19.
Abstract
Intermittent fasting (IF) remains the most effective intervention to achieve robust anti-aging effects and attenuation of age-related diseases in various species. Epigenetic modifications mediate the biological effects of several environmental factors on gene expression; however, no information is available on the effects of IF on the epigenome. Here, we first found that IF for 3 months caused modulation of H3K9 trimethylation (H3K9me3) in the cerebellum, which in turn orchestrated a plethora of transcriptomic changes involved in robust metabolic switching processes commonly observed during IF. Second, a portion of both the epigenomic and transcriptomic modulations induced by IF was remarkably preserved for at least 3 months post-IF refeeding, indicating that memory of IF-induced epigenetic changes was maintained. Notably, though, we found that termination of IF resulted in a loss of H3K9me3 regulation of the transcriptome. Collectively, our study characterizes the novel effects of IF on the epigenetic-transcriptomic axis, which controls myriad metabolic processes. The comprehensive analyses undertaken in this study reveal a molecular framework for understanding how IF impacts the metabolo-epigenetic axis of the brain and will serve as a valuable resource for future research.Entities:
Keywords: Cerebellum; Epigenetics; Intermittent fasting; Metabolism; Transcriptomics
Year: 2022 PMID: 35357643 DOI: 10.1007/s11357-022-00537-z
Source DB: PubMed Journal: Geroscience ISSN: 2509-2723 Impact factor: 7.713