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http://dx.doi.org/10.1111/j.1744-6163.2012.00329.x | DOI Listing |
Curr Nutr Rep
January 2025
Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Str., 11527, Athens, Greece.
Purpose Of The Review: Ultra-processed foods (UPFs) represent foods that have undergone substantial industrial processing, such as the addition of preservatives and various other ingredients, thereby making them more tasty, appealing and easy to consume. UPFs are often rich in sugars, saturated fats and salt, while they are low in essential nutrients.The aim of this review is to examine the relationship between the widespread consumption of UPFs and the development of obesity among children and adolescents.
View Article and Find Full Text PDFCurr Obes Rep
January 2025
Department of Endocrinology and Metabolism, Zhuhai People's Hospital (The Affiliated Hospital of Beijing Institute of Technology, Zhuhai Clinical Medical College of Jinan University), Zhuhai, China.
Purpose Of Review: Review the latest data regarding the intersection of adipose tissue (AT) and iron to meet the needs of AT metabolism and the progression of related diseases.
Recent Findings: Iron is involved in fundamental biological metabolic processes and is precisely fine-tuned within the body to maintain cellular, tissue and even systemic iron homeostasis. AT not only serves as an energy storage depot but also represents the largest endocrine organ in the human body, maintaining systemic metabolic homeostasis.
NPJ Microgravity
January 2025
Department of Biological Science, Boise State University, Boise, ID, 83725, USA.
Systemic mitochondrial dysfunction, dopamine loss, sustained structural changes in the basal ganglia including reduced tyrosine hydroxylase, and altered gait- these effects observed in space-flown animals and astronauts mirrors Parkinson's disease (PD). Evidence of mitochondrial changes in space-flown human cells, examined through the lens of PD, suggests that spaceflight-induced PD-like molecular changes are important to monitor during deep space exploration. These changes, may potentially elevate the risk of PD in astronauts.
View Article and Find Full Text PDFCell
December 2024
Key Laboratory Experimental Teratology of the Ministry of Education, New Cornerstone Science Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shandong University, Jinan, Shandong 250012, China; NHC Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Advanced Medical Research Institute, Shandong University, Jinan, China; Department of Physiology and Pathophysiology, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China. Electronic address:
Animals have evolved pH-sensing membrane receptors, such as G-protein-coupled receptor 4 (GPR4), to monitor pH changes related to their physiology and generate adaptive reactions. However, the evolutionary trajectory and structural mechanism of proton sensing by GPR4 remain unresolved. Here, we observed a positive correlation between the optimal pH of GPR4 activity and the blood pH range across different species.
View Article and Find Full Text PDFBiophys Chem
December 2024
Theoretical Molecular Science Laboratory, RIKEN Cluster for Pioneering Research, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; Computational Biophysics Research Group, RIKEN Center for Computational Science, 7-1-26 Minatojima-Minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan; Laboratory for Biomolecular Function Simulation, RIKEN Center for Biosystems Dynamics Research, 1-6-5 Minatojima-Minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan.
Membrane potential is essential in biological signaling and homeostasis maintained by voltage-sensitive membrane proteins. Molecular dynamics (MD) simulations incorporating membrane potentials have been extensively used to study the structures and functions of ion channels and protein pores. They can also be beneficial in designing and characterizing artificial ion channels and pores, which will guide further amino acid sequence optimization through comparison between the predicted models and experimental data.
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