•1H NMR metabolomics represents a tool to measure dietary exposure.•Metabolic profiles from two breakfast meals were identified in healthy volunteers.•Metabolites relating to breakfast type and ...beverage choice were identified.•Intake of different meals can be traced in the metabolic profile of human urine.
It is challenging to measure dietary exposure with techniques that are both accurate and applicable to free-living individuals. We performed a cross-over intervention, with 24 healthy individuals, to capture the acute metabolic response of a cereal breakfast (CB) and an egg and ham breakfast (EHB). Fasting and postprandial urine samples were analyzed using 1H nuclear magnetic resonance (NMR) spectroscopy and multivariate data analysis. Metabolic profiles were distinguished in relation to ingestion of either CB or EHB. Phosphocreatine/creatine and citrate were identified at higher concentrations after consumption of EHB. Beverage consumption (i.e., tea or coffee) could clearly be seen in the data. 2-furoylglycine and 5-hydroxymethyl-2-furoic acid – potential biomarkers for coffee consumption were identified at higher concentrations in coffee drinkers. Thus 1H NMR urine metabolomics is applicable in the characterization of acute metabolic fingerprints from meal consumption and in the identification of metabolites that may serve as potential biomarkers.
The aim was to assess the validity of bioimpedance in the assessment of fat free mass (FFM) among women and to study if the validity differs between women with and without Rheumatoid Arthritis (RA).
...38 women with RA and 24 non-rheumatic controls were included. FFM was measured in the non-fasting state using DXA (Lunar Prodigy), multi-frequency bioelectrical impedance analysis (BIA) (MF-BIA Tanita MC-180 MA), single-frequency BIA (SF-BIA) and bioelectrical impedance spectroscopy (BIS) (both Impedimed SFB7). BIS raw data were also used to calculate FFM from equations by Matthie, Jaffrin and Moissl. Results were compared using correlation, Bland Altman analysis, Mann Whitney U test and Wilcoxon Signed Ranks Test.
Women with RA had different body water distribution compared to women without RA (p < 0.05). Median bias in FFM assessed by bioimpedance was 0.62–7.87 kg with wide limits of agreement for all methods. Median FFM differed significantly from DXA by all bioimpedance methods except for BIS by Jaffrin. Women with RA had significantly smaller biases compared to non-rheumatic controls using BIS equations by Matthie (p = 0.012) and Moissl (p = 0.025). Correlations between FFM measured by DXA and bioimpedance (r = 0.73–0.85, all p < 0.001) did not differ between groups. The sensitivity of bioimpedance to detect low fat free mass index (FFMI) was 0–47%.
The results of this study show that bioimpedance has similar validity in women with RA compared to non-rheumatic controls, despite differences in body water distribution. Agreement with DXA improved when applying specific equations, but the clinical utility of bioimpedance is questionable as all methods failed to identify low FFMI with acceptable precision.
Clinicaltrials.org, NCT04247009.
Fish consumption is associated with a lower incidence of CVD and decreases in risk factors for atherosclerosis. Although fish contains other interesting components than fish oil, few studies focus on ...total fish composition and the influence food preparation might have on health-beneficial components. In the present cross-over intervention study the effect of a 6-week herring diet compared with a reference diet on CVD risk factors was investigated. Thirty-five healthy, but overweight, men (mean BMI 28·3 kg/m2) were randomised to a 6-week herring diet (150 g baked herring fillets/d, 5 d/week) or a reference diet (150 g baked lean pork and chicken fillets/d, 5 d/week). Diets were switched after a 12-week washout period. Plasma total cholesterol, TAG, HDL, HDL2, HDL3, LDL, C-reactive protein, IL-6, IL-18, intercellular adhesion molecule-1, oxidised LDL, oxygen radical absorbance capacity using perchloric acid (ORAC(PCA)), whole-blood fatty acids, bleeding time and blood pressure were measured at the beginning and end of each dietary period. HDL was significantly higher after the herring diet period compared with after the reference diet period: 1·04 v. 0·99 mmol/l. TAG decreased after both diets, with no significant difference between the two diets. ORAC(PCA) values did not indicate lower concentrations of non-protein plasma antioxidants, and oxidised LDL was not higher after the herring diet than after the reference diet. To conclude, a 6-week herring-rich diet significantly raised HDL compared with a diet of matched lean pork and chicken dishes. No adverse effects on in vivo oxidation or serum antioxidants were found after herring intake.
It is challenging to measure dietary exposure with techniques that are both accurate and applicable to free-living individuals. We performed a cross-over intervention, with 24 healthy individuals, to ...capture the acute metabolic response of a cereal breakfast (CB) and an egg and ham breakfast (EHB). Fasting and postprandial urine samples were analyzed using
H nuclear magnetic resonance (NMR) spectroscopy and multivariate data analysis. Metabolic profiles were distinguished in relation to ingestion of either CB or EHB. Phosphocreatine/creatine and citrate were identified at higher concentrations after consumption of EHB. Beverage consumption (i.e., tea or coffee) could clearly be seen in the data. 2-furoylglycine and 5-hydroxymethyl-2-furoic acid - potential biomarkers for coffee consumption were identified at higher concentrations in coffee drinkers. Thus
H NMR urine metabolomics is applicable in the characterization of acute metabolic fingerprints from meal consumption and in the identification of metabolites that may serve as potential biomarkers.
Abstract Introduction Increased intake of the n -3 fatty acids eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) has been shown to decrease the risk for cardiovascular death and to reduce ...CVD risk factors. It has also been suggested that EPA and DHA reduce atherosclerosis progression, but data are inconclusive. Carotid intima-media thickness (IMT) is a well-established surrogate measure for sub-clinical atherosclerosis. Our aim was to examine if plasma phospholipid EPA and DHA are associated with IMT and plaque occurrence and size in the carotid and femoral arteries. Methods IMT and plaque occurrence in carotid and femoral arteries was measured by ultrasound in 487 sixty-one-year-old men in this cross-sectional study. Plasma phospholipid levels of EPA and DHA, serum lipids, cell adhesion molecules, and blood pressure were measured, and occurrence of diabetes and socioeconomic factors were assessed. Results Plasma phospholipid EPA was negatively associated with IMT in carotid and femoral arteries, and with cigarette years and cell adhesion proteins. EPA was positively associated with HDL, total cholesterol, blood pressure, plasma insulin and years of education. The association between EPA and carotid IMT remained after adjustment for blood pressure, but not for other covariates. Plasma phospholipid DHA was negatively associated with cigarette years and several endothelial markers, and positively associated with years of education and systolic blood pressure. In contrast to other studies, EPA content was higher in diabetic patients compared with patients without diabetes. Conclusion Plasma phospholipid EPA, but not DHA, was inversely associated with carotid and femoral IMT, as well as several endothelial markers supporting the concept of an effect of EPA on the vascular wall. This association was independent of blood pressure, but not for other covariates. There was no association between plasma phospholipid EPA or DHA and plaque occurrence in the carotid and femoral arteries.
It is challenging to measure dietary exposure with techniques that are both accurate and applicable to free-living individuals. We performed a cross-over intervention, with 24 healthy individuals, to ...capture the acute metabolic response of a cereal breakfast (CB) and an egg and ham breakfast (EHB). Fasting and postprandial urine samples were analyzed using H-1 nuclear magnetic resonance (NMR) spectroscopy and multivariate data analysis. Metabolic profiles were distinguished in relation to ingestion of either CB or EHB. Phosphocreatine/creatine and citrate were identified at higher concentrations after consumption of EHB. Beverage consumption (i.e., tea or coffee) could clearly be seen in the data. 2-furoylglycine and 5-hydroxymethyl-2-furoic acid - potential biomarkers for coffee consumption were identified at higher concentrations in coffee drinkers. Thus H-1 NMR urine metabolomics is applicable in the characterization of acute metabolic fingerprints from meal consumption and in the identification of metabolites that may serve as potential biomarkers.
Background: Metabolomics represents a powerful tool for exploring modulation of the human metabolome in response to food intake. However, the choice of multivariate statistical approach is not always ...evident, especially for complex experimental designs with repeated measurements per individual. Here we have investigated the serum metabolic responses to two breakfast meals: an egg and ham based breakfast and a cereal based breakfast using three different multivariate approaches based on the Projections to Latent Structures framework. Methods: In a cross over design, 24 healthy volunteers ate the egg and ham breakfast and cereal breakfast on four occasions each. Postprandial serum samples were subjected to metabolite profiling using H-1 nuclear magnetic resonance spectroscopy and metabolites were identified using 2D nuclear magnetic resonance spectroscopy. Metabolic profiles were analyzed using Orthogonal Projections to Latent Structures with Discriminant Analysis and Effect Projections and ANOVA-decomposed Projections to Latent Structures. Results: The Orthogonal Projections to Latent Structures with Discriminant Analysis model correctly classified 92 and 90% of the samples from the cereal breakfast and egg and ham breakfast, respectively, but confounded dietary effects with inter-personal variability. Orthogonal Projections to Latent Structures with Effect Projections removed inter-personal variability and performed perfect classification between breakfasts, however at the expense of comparing means of respective breakfasts instead of all samples. ANOVA-decomposed Projections to Latent Structures managed to remove inter-personal variability and predicted 99% of all individual samples correctly. Proline, tyrosine, and N-acetylated amino acids were found in higher concentration after consumption of the cereal breakfast while creatine, methanol, and isoleucine were found in higher concentration after the egg and ham breakfast. Conclusions: Our results demonstrate that the choice of statistical method will influence the results and adequate methods need to be employed to manage sample dependency and repeated measurements in cross-over studies. In addition, H-1 nuclear magnetic resonance serum metabolomics could reproducibly characterize postprandial metabolic profiles and identify discriminatory metabolites largely reflecting dietary composition.
Metabolomics represents a powerful tool for exploring modulation of the human metabolome in response to food intake. However, the choice of multivariate statistical approach is not always evident, ...especially for complex experimental designs with repeated measurements per individual. Here we have investigated the serum metabolic responses to two breakfast meals: an egg and ham based breakfast and a cereal based breakfast using three different multivariate approaches based on the Projections to Latent Structures framework.
In a cross over design, 24 healthy volunteers ate the egg and ham breakfast and cereal breakfast on four occasions each. Postprandial serum samples were subjected to metabolite profiling using
H nuclear magnetic resonance spectroscopy and metabolites were identified using 2D nuclear magnetic resonance spectroscopy. Metabolic profiles were analyzed using Orthogonal Projections to Latent Structures with Discriminant Analysis and Effect Projections and ANOVA-decomposed Projections to Latent Structures.
The Orthogonal Projections to Latent Structures with Discriminant Analysis model correctly classified 92 and 90% of the samples from the cereal breakfast and egg and ham breakfast, respectively, but confounded dietary effects with inter-personal variability. Orthogonal Projections to Latent Structures with Effect Projections removed inter-personal variability and performed perfect classification between breakfasts, however at the expense of comparing means of respective breakfasts instead of all samples. ANOVA-decomposed Projections to Latent Structures managed to remove inter-personal variability and predicted 99% of all individual samples correctly. Proline, tyrosine, and N-acetylated amino acids were found in higher concentration after consumption of the cereal breakfast while creatine, methanol, and isoleucine were found in higher concentration after the egg and ham breakfast.
Our results demonstrate that the choice of statistical method will influence the results and adequate methods need to be employed to manage sample dependency and repeated measurements in cross-over studies. In addition,
H nuclear magnetic resonance serum metabolomics could reproducibly characterize postprandial metabolic profiles and identify discriminatory metabolites largely reflecting dietary composition.
Registered with ClinicalTrials.gov, identifier: NCT02039596 . Date of registration: January 17, 2014.
EFSA and EMA have jointly reviewed measures taken in the EU to reduce the need for and use of antimicrobials in food‐producing animals, and the resultant impacts on antimicrobial resistance (AMR). ...Reduction strategies have been implemented successfully in some Member States. Such strategies include national reduction targets, benchmarking of antimicrobial use, controls on prescribing and restrictions on use of specific critically important antimicrobials, together with improvements to animal husbandry and disease prevention and control measures. Due to the multiplicity of factors contributing to AMR, the impact of any single measure is difficult to quantify, although there is evidence of an association between reduction in antimicrobial use and reduced AMR. To minimise antimicrobial use, a multifaceted integrated approach should be implemented, adapted to local circumstances. Recommended options (non‐prioritised) include: development of national strategies; harmonised systems for monitoring antimicrobial use and AMR development; establishing national targets for antimicrobial use reduction; use of on‐farm health plans; increasing the responsibility of veterinarians for antimicrobial prescribing; training, education and raising public awareness; increasing the availability of rapid and reliable diagnostics; improving husbandry and management procedures for disease prevention and control; rethinking livestock production systems to reduce inherent disease risk. A limited number of studies provide robust evidence of alternatives to antimicrobials that positively influence health parameters. Possible alternatives include probiotics and prebiotics, competitive exclusion, bacteriophages, immunomodulators, organic acids and teat sealants. Development of a legislative framework that permits the use of specific products as alternatives should be considered. Further research to evaluate the potential of alternative farming systems on reducing AMR is also recommended. Animals suffering from bacterial infections should only be treated with antimicrobials based on veterinary diagnosis and prescription. Options should be reviewed to phase out most preventive use of antimicrobials and to reduce and refine metaphylaxis by applying recognised alternative measures.
Introduction
Technology use is a highly relevant part of everyday occupations and
difficulties can lead to challenges among older adults with cognitive
impairments. The aim of this study was to ...review empirical studies reporting
on the use of technology for improving performance in everyday occupations
and evaluate the effect of training strategies in technology use in older
people with mild-stage dementia or mild cognitive impairment.
Method
A scoping review methodology was used. Key databases were searched, covering
January 2000 to October 2016, to identify studies, which were screened and
assessed for inclusion.
Results
In total, 14 studies were included. Most studies used quantitative designs
with small sample sizes. The methods used to measure performance in everyday
occupations differed. Six studies focussed on the use of technology for
improving performance. Eight studies evaluated the effect of training
strategies in technology use.
Conclusion
Although positive effects of technology use and training in technology use
have been reported for instrumental activities of daily living outcomes, the
evidence supporting the use of technology in enhancing performance in
occupations in people with mild-stage dementia or mild cognitive impairment
is limited. Future studies should focus specifically on people with mild
cognitive impairment, use more rigorous designs and include standardised
methods.
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