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The role of microRNA in the regulation of hepatic metabolism and energy-expensive processes in the hibernating dormouse.
Cryobiology
December 2024
Institute of Biochemistry and Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada.
The garden dormouse (Eliomys quercinus) is a fat-storing mammal that undergoes annual periods of hibernation to mitigate the effects of food scarcity, low ambient temperatures, and reduced photoperiod that characterize winter. Like other hibernating species, this animal suppresses its metabolic rate by downregulating nonessential genes and processes in order to prolong available energy stores and limit waste accumulation throughout the season. MicroRNAs (miRNAs) are short, single-stranded, noncoding RNAs that bind to mRNA and mediate post-transcriptional suppression, making miRNA ideal for modulating widespread changes in gene expression, including global downregulation typified by metabolic rate depression.
View Article and Find Full Text PDFLight Environment of Arctic Solstices is Coupled With Melatonin Phase-Amplitude Changes and Decline of Metabolic Health.
J Pineal Res
January 2025
Department of Integrated Biology and Physiology, University of Minnesota, Minneapolis, Minnesota, USA.
Light environment in the Arctic differs widely with the seasons. Studies of relationships between objectively measured circadian phase and amplitude of light exposure and melatonin in community-dwelling Arctic residents are lacking. This investigation combines cross-sectional (n = 24-62) and longitudinal (n = 13-27) data from week-long actigraphy (with light sensor), 24-h salivary melatonin profiles, and proxies of metabolic health.
View Article and Find Full Text PDF[Drift Correction Method of Wastewater Treatment Model Based on Transfer Learning Across Time Scales].
Huan Jing Ke Xue
January 2025
College of Environment and Ecology, Chongqing University, Chongqing 400045, China.
Data is the core foundation of intelligent operation and maintenance, but currently, there is generally insufficient data for wastewater treatment plants, and the status of wastewater treatment systems dynamically evolves with the changes in the internal and external environment. The intelligent operation and maintenance of wastewater plants face difficulties in modeling and model drift caused by system evolution. In response to this issue, the summer and winter seasons with significant differences in wastewater temperature, wastewater quality, and microbial status were selected as typical comparison scenarios.
View Article and Find Full Text PDFCorrection to "Surveillance of seasonal influenza viruses during the COVID-19 pandemic in Tokyo, Japan, 2018-2023, a single-center study"Takahashi H, Nagamatsu H, Yamada Y, et al. Influenza and Other Respiratory Viruses. 2024; Volume 18, Issue 1, e13248. DOI: https://doi.org/10.1111/irv.13248.
Influenza Other Respir Viruses
December 2024
Prediction of mung bean production using machine learning algorithms.
Heliyon
December 2024
Department of Information Science, Addis Ababa University, Addis Ababa, Ethiopia.
Agriculture is the backbone of the Ethiopian economy. It plays a significant role in the growth of the national economy. Among these, mung bean production takes the highest level of income for most smallholder farmers in all regions of Ethiopia who cultivate mung bean crops.
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