Objective: This study aimed to investigate a novel approach for determining the effects of energy-standardized dinner meals (high-fat and low-fat) on respiratory exchange ratio (RER) dynamics and metabolic flexibility.
Methods: Using a randomized crossover study design, energy expenditure, RER, and macronutrient oxidation rates were assessed in response to a single dinner meal during an overnight stay in a whole-body room calorimeter. Eight healthy adults completed two overnight chamber stays while fed either a high-fat (60% fat, 20% carbohydrate [CHO], 20% protein; food quotient [FQ] = 0.784) or low-fat (20% fat, 60% CHO, 20% protein; FQ = 0.899) dinner containing 40% of daily energy requirements.
Results: Following the low-fat meal, CHO oxidation first increased before decreasing, resulting in a 12-hour RER:FQ ratio close to 1.0 (0.986 ± 0.019, P = 0.06) and therefore resulting in a 12-hour equilibrated fat balance (29 ± 76 kcal/12 hours). Following the high-fat meal, participants had a RER:FQ ratio above 1.0 (1.061 ± 0.017, P < 0.01), resulting in a significant positive 12-hour fat balance of 376 ± 142 kcal/12 hours. Various RER trajectory parameters were significantly different following the high-fat and low-fat meals.
Conclusions: This proof-of-concept study provides an alternative approach to quantify metabolic flexibility in response to a high-fat dinner and it can be used to derive indexes of metabolic flexibility, such as the 12-hour RER:FQ ratio or the 12-hour fat balance.
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http://dx.doi.org/10.1002/oby.22982 | DOI Listing |
J Med Microbiol
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Animal and Agriculture Department, Hartpury University, Gloucester, GL19 3BE, UK.
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December 2024
Instituto de Ciencia de Materiales de Madrid, CSIC, E-28049 Madrid, Spain.
We address the precise determination of the phase diagram of magic angle twisted bilayer graphene under hydrostatic pressure within a self-consistent Hartree-Fock method in real space, including all the remote bands of the system. We further present a novel algorithm that maps the full real-space density matrix to a 4×4 density matrix based on a SU(4) symmetry of sublattice and valley degrees of freedom. We find a quantum critical point between a nematic and a Kekulé phase, and show also that our microscopic approach displays a strong particle-hole asymmetry in the weak coupling regime.
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January 2025
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
Motivation: The accurate prediction of O-GlcNAcylation sites is crucial for understanding disease mechanisms and developing effective treatments. Previous machine learning models primarily relied on primary or secondary protein structural and related properties, which have limitations in capturing the spatial interactions of neighboring amino acids. This study introduces local environmental features as a novel approach that incorporates three-dimensional spatial information, significantly improving model performance by considering the spatial context around the target site.
View Article and Find Full Text PDFDrug Deliv Transl Res
January 2025
Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
The global prevalence of Parkinson's Disease (PD) is on the rise, driven by an ageing population and ongoing environmental conditions. To gain a better understanding of PD pathogenesis, it is essential to consider its relationship with the ageing process, as ageing stands out as the most significant risk factor for this neurodegenerative condition. PD risk factors encompass genetic predisposition, exposure to environmental toxins, and lifestyle influences, collectively increasing the chance of PD development.
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Division of Cardiovascular Medicine, Department of Medicine, University of California, 9394 Medical Center Drive, La Jolla, San Diego, CA, USA.
Purpose Of Review: Heart failure is a complex and heterogenous disease state that affects millions worldwide. Over recent decades, advancements in medical therapy and device implementation have significantly transformed the landscape of heart failure outcomes, while improvements in imaging modalities and greater accessibility to genome sequencing have led to increasing recognition of distinct heart failure endotypes. There is rising evidence to suggest all patients do not benefit equally from intensification of guideline directed medical therapy (GDMT).
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