Effects of Cow Milk Intake at Breakfast on the Circadian Typology and Mental Health of Japanese Infants Aged 1 - 6 Years

In this study, we investigated the beneficial effects of milk biofortified with antioxidants on the health of children. Two experiments were conducted: experiment one evaluated the milk of 24 Jersey dairy cows (450 ± 25 kg of body weight (BW); 60 ± 30 days in milk dry matter intake (DIM)) given different diet treatments (CON = control diet; COANT = diet with vitamin E and selenium as antioxidants; OIL = diet with sunflower oil; and OANT = diet with sunflower oil containing more vitamin E and selenium as antioxidants), and experiment two evaluated the effect of the milk produced in the first experiment on the health of children (CON = control diet; COANT = diet with vitamin E and selenium as antioxidants; OIL = diet with sunflower oil; OANT = diet with sunflower oil containing more vitamin E and selenium as antioxidants; and SM = skim milk). One hundred children (8 to 10 years old) were evaluated in the second experiment. Blood samples were collected at 0 days of milk intake and 28 and 84 days after the start of milk intake. The cows fed the COANT and OANT diets showed greater selenium and vitamin E concentrations in their milk (p = 0.001), and the children who consumed the milk from those cows had higher concentrations of selenium and vitamin E in their blood (p = 0.001). The platelet (p = 0.001) and lymphocyte (p = 0.001) concentrations were increased in the blood of the children that consumed milk from cows fed the OANT diet compared to those in the children that consumed SM (p = 0.001). The children who consumed milk from cows fed the OIL diet treatment had increased concentrations of low density lipoprotein (LDL) and total cholesterol in their blood at the end of the supplementation period compared to children who consumed SM. The results of this study demonstrate that the consumption of biofortified milk increases the blood concentrations of selenium and vitamin E in children, which may be beneficial to their health.

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Diet, Sleep, and Mental Health: Insights from the UK Biobank Study

Nutrients ◽

10.3390/nu13082573 ◽

2021 ◽

Vol 13 (8) ◽

pp. 2573

Author(s):

Piril Hepsomali ◽

John A. Groeger

Keyword(s):

Mental Health ◽

Mental Health Disorders ◽

Dietary Guidelines ◽

Healthy Diet ◽

Milk Intake ◽

Processed Meat ◽

Uk Biobank ◽

Health Disorders ◽

Mental Health Symptomatology ◽

The Uk

Diet has long been the focus of attention as a leading risk factor for non-communicable diseases. As such, a better understanding of it is crucial to establish priorities for dietary guidelines and to inform, design, and implement strategies for preventing, helping manage, and stopping the progression of sleep and mental health-related symptoms/disorders. The aim of the current study is to conduct the largest investigation of diet, sleep, and mental health to date by utilizing the UK Biobank (UKB) dataset to identify the associations between diet and (i) sleep quality/health, and (ii) mental health symptomatology. This cross-sectional population-based study involved 502,494 middle-aged adults. UKB food frequency, sleep, and psychological factors and mental health questionnaires at baseline were used. Scores were also calculated for healthy diet, healthy sleep, mental health symptomatology, partial fibre intake, and milk intake. We observed positive associations with healthy diet and sleep and mental health, especially benefits of high intakes of vegetable, fruit, fish, water, and fibre. However, processed meat and milk intake were adversely associated with sleep and mental health. These findings make clear that there are health and wellbeing benefits and drawbacks of different diets, but do not, at this stage, demonstrate the clear causal relationships, which would support dietary interventions that might play a role in the treatment and also self-management of sleep and mental health disorders/symptoms. Further research is required to understand mechanisms of actions of which diet acts on to modulate sleep and mental health, while taking comorbidity of sleep and mental health disorders/symptoms into consideration.

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An Integrated Effect of Protein Intake at Breakfast and Morning Exposure to Sunlight on the Circadian Typology in Japanese Infants Aged 2–6 Years

Journal of PHYSIOLOGICAL ANTHROPOLOGY ◽

10.2114/jpa2.28.239 ◽

2009 ◽

Vol 28 (5) ◽

pp. 239-245 ◽

Cited By ~ 31

Author(s):

Miyo Nakade ◽

Hitomi Takeuchi ◽

Nozomi Taniwaki ◽

Teruki Noji ◽

Tetsuo Harada

Keyword(s):

Protein Intake ◽

Japanese Infants ◽

Circadian Typology

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Identification of Milk and Cheese Intake Biomarkers in Healthy Adults Reveals High Interindividual Variability of Lewis System–Related Oligosaccharides

Journal of Nutrition ◽

10.1093/jn/nxaa029 ◽

2020 ◽

Vol 150 (5) ◽

pp. 1058-1067 ◽

Cited By ~ 2

Author(s):

Grégory Pimentel ◽

David Burnand ◽

Linda H Münger ◽

François P Pralong ◽

Nathalie Vionnet ◽

...

Keyword(s):

Mass Distribution ◽

Metabolic Response ◽

Interindividual Variability ◽

Dietary Assessment ◽

Healthy Adults ◽

Milk Intake ◽

Assessment Tools ◽

Cow Milk ◽

Great Promise ◽

High Interindividual Variability

ABSTRACT Background The use of biomarkers of food intake (BFIs) in blood and urine has shown great promise for assessing dietary intake and complementing traditional dietary assessment tools whose use is prone to misreporting. Objective Untargeted LC-MS metabolomics was applied to identify candidate BFIs for assessing the intake of milk and cheese and to explore the metabolic response to the ingestion of these foods. Methods A randomized controlled crossover study was conducted in healthy adults [5 women, 6 men; age: 23.6 ± 5.0 y; BMI (kg/m2): 22.1 ± 1.7]. After a single isocaloric intake of milk (600 mL), cheese (100 g), or soy-based drink (600 mL), serum and urine samples were collected postprandially up to 6 h and after fasting after 24 h. Untargeted metabolomics was conducted using LC-MS. Discriminant metabolites were selected in serum by multivariate statistical analysis, and their mass distribution and postprandial kinetics were compared. Results Serum metabolites discriminant for cheese intake had a significantly lower mass distribution than metabolites characterizing milk intake (P = 4.1 × 10−4). Candidate BFIs for milk or cheese included saccharides, a hydroxy acid, amino acids, amino acid derivatives, and dipeptides. Two serum oligosaccharides, blood group H disaccharide (BGH) and Lewis A trisaccharide (LeA), specifically reflected milk intake but with high interindividual variability. The 2 oligosaccharides showed related but opposing trends: subjects showing an increase in either oligosaccharide did not show any increase in the other oligosaccharide. This result was confirmed in urine. Conclusions New candidate BFIs for milk or cheese could be identified in healthy adults, most of which were related to protein metabolism. The increase in serum of LeA and BGH after cow-milk intake in adults calls for further investigations considering the beneficial health effects on newborns of such oligosaccharides in maternal milk. The trial is registered at clinicaltrials.gov as NCT02705560.

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