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Multi-dimensional evidence from the UK Biobank shows the impact of diet and macronutrient intake on aging
The role of diet in aging is crucial, yet research findings on how specific diets influence human aging remain inconsistent. Understanding the relationship between dietary factors and aging could inform interventions to promote healthier aging outcomes.
Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake
Nutritional epidemiology aims to link dietary exposures to chronic disease, but the instruments for evaluating dietary intake are inaccurate. One way to identify unreliable data and the sources of errors is to compare estimated intakes with the total energy expenditure (TEE). In this study, we used the International Atomic Energy Agency Doubly Labeled Water Database to derive a predictive equation for TEE using 6,497 measures of TEE in individuals aged 4 to 96 years. The resultant regression equation predicts expected TEE from easily acquired variables, such as body weight, age and sex, with 95% predictive limits that can be used to screen for misreporting by participants in dietary studies. We applied the equation to two large datasets (National Diet and Nutrition Survey and National Health and Nutrition Examination Survey) and found that the level of misreporting was >50%. The macronutrient composition from dietary reports in these studies was systematically biased as the level of misreporting increased, leading to potentially spurious associations between diet components and body mass index.
Dietary protein restriction elevates FGF21 levels and energy requirements to maintain body weight in lean men
Dietary protein restriction increases energy expenditure and enhances insulin sensitivity in mice. However, the effects of a eucaloric protein-restricted diet in healthy humans remain unexplored. Here, we show in lean, healthy men that a protein-restricted diet meeting the minimum protein requirements for 5 weeks necessitates an increase in energy intake to uphold body weight, regardless of whether proteins are replaced with fats or carbohydrates. Upon reverting to the customary higher protein intake in the following 5 weeks, energy requirements return to baseline levels, thus preventing weight gain. We also show that fasting plasma FGF21 levels increase during protein restriction. Proteomic analysis of human white adipose tissue and in FGF21-knockout mice reveal alterations in key components of the electron transport chain within white adipose tissue mitochondria. Notably, in male mice, these changes appear to be dependent on FGF21. In conclusion, we demonstrate that maintaining body weight during dietary protein restriction in healthy, lean men requires a higher energy intake, partially driven by FGF21-mediated mitochondrial adaptations in adipose tissue.
Estimated human intake of endogenous and exogenous hormones from beef in the United States
Endogenous and exogenous hormones may be present in beef. Human consumption of hormones has been linked to adverse health effects.
An integrative data-driven model simulating C. elegans brain, body and environment interactions
The behavior of an organism is influenced by the complex interplay between its brain, body and environment. Existing data-driven models focus on either the brain or the body–environment. Here we present BAAIWorm, an integrative data-driven model of Caenorhabditis elegans, which consists of two submodels: the brain model and the body–environment model. The brain model was built by multicompartment models with realistic morphology, connectome and neural population dynamics based on experimental data. Simultaneously, the body–environment model used a lifelike body and a three-dimensional physical environment. Through the closed-loop interaction between the two submodels, BAAIWorm reproduced the realistic zigzag movement toward attractors observed in C. elegans. Leveraging this model, we investigated the impact of neural system structure on both neural activities and behaviors. Consequently, BAAIWorm can enhance our understanding of how the brain controls the body to interact with its surrounding environment.
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