1.
[Personalised nutrition for weight loss in overweight patients].
Hjorth, MF, Astrup, A
Ugeskrift for laeger. 2018;(22)
Abstract
Over the past several decades numerous trials have compared various diets for the management of overweight and obesity, assuming that one diet fits all. However, it is far more likely, that different people will have different levels of success on different diets. We have investigated fasting plasma glucose (and insulin) levels as well as the microbiota Prevotella/Bacteroides-ratio as prognostic markers of weight loss during periods of characterised dietary composition. Overall, these biomarkers hold great promise for moving forward with personalised nutrition to improve weight control in obese patients.
2.
Discovery and validation of urinary exposure markers for different plant foods by untargeted metabolomics.
Andersen, MB, Kristensen, M, Manach, C, Pujos-Guillot, E, Poulsen, SK, Larsen, TM, Astrup, A, Dragsted, L
Analytical and bioanalytical chemistry. 2014;(7):1829-44
Abstract
While metabolomics is increasingly used to investigate the food metabolome and identify new markers of food exposure, limited attention has been given to the validation of such markers. The main objectives of the present study were to (1) discover potential food exposure markers (PEMs) for a range of plant foods in a study setting with a mixed dietary background and (2) validate PEMs found in a previous meal study. Three-day weighed dietary records and 24-h urine samples were collected three times during a 6-month parallel intervention study from 107 subjects randomized to two distinct dietary patterns. An untargeted UPLC-qTOF-MS metabolomics analysis was performed on the urine samples, and all features detected underwent strict data analyses, including an iterative paired t test and sensitivity and specificity analyses for foods. A total of 22 unique PEMs were identified that covered 7 out of 40 investigated food groups (strawberry, cabbages, beetroot, walnut, citrus, green beans and chocolate). The PEMs reflected foods with a distinct composition rather than foods eaten more frequently or in larger amounts. We found that 23 % of the PEMs found in a previous meal study were also valid in the present intervention study. The study demonstrates that it is possible to discover and validate PEMs for several foods and food classes in an intervention study with a mixed dietary background, despite the large variability in such a dataset. Final validation of PEMs for intake of foods should be performed by quantitative analysis.
3.
Higher protein diets consumed ad libitum improve cardiovascular risk markers in children of overweight parents from eight European countries.
Damsgaard, CT, Papadaki, A, Jensen, SM, Ritz, C, Dalskov, SM, Hlavaty, P, Saris, WH, Martinez, JA, Handjieva-Darlenska, T, Andersen, MR, et al
The Journal of nutrition. 2013;(6):810-7
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Abstract
Dietary strategies to improve early cardiovascular markers in overweight children are needed. We investigated the effect of dietary protein and glycemic index (GI) on cardiovascular markers and metabolic syndrome (MetS) scores in 5- to 18-y-old children of overweight/obese parents from 8 European centers. Families were randomized to 1 of 5 diets consumed ad libitum: high protein (HP) or low protein (LP) combined with high GI (HGI) or low GI (LGI), or a control diet. At 6 centers, families received dietary instruction (instruction centers); at 2 centers, free foods were also provided (supermarket centers). Diet, anthropometry, blood pressure, and serum cardiovascular markers (lipid profile, glucose regulation, and inflammation) were measured in 253 children at baseline, 1 mo, and/or 6 mo. Protein intake was higher in the HP groups (19.9 ± 1.3% energy) than in the LP groups at 6 mo (16.8 ± 1.2% energy) (P = 0.001). The GI was 4.0 points lower (95% CI: 2.1, 6.1) in the LGI compared with the HGI groups (P < 0.001). In the supermarket centers, the HP and LP groups differed more in protein intake than did the groups in the instruction centers (P = 0.009), indicating better compliance. The HP diets evoked a 2.7-cm (95% CI: 0.9, 5.1) smaller waist circumference and a 0.25-mmol/L (95% CI: 0.09, 0.41) lower serum LDL cholesterol compared with the LP diets at 6 mo (P < 0.007). In a separate supermarket center analysis, the HP compared with LP diets reduced waist circumference (P = 0.004), blood pressure (P < 0.01), serum insulin (P = 0.013), and homeostasis model of assessment-insulin resistance (P = 0.016). In the instruction centers, the HP compared with the LP diets reduced LDL cholesterol (P = 0.004). No consistent effect of GI was seen and the MetS scores were not affected. In conclusion, increased protein intake improved cardiovascular markers in high-risk children, particularly in those undergoing most intensive intervention.