NMR-Based Metabolomic Profiling of Overweight Adolescents: An Elucidation of the Effects of Inter-/Intraindividual Differences, Gender, and Pubertal Development

Zheng, Hong; Yde, Christian Clement; Arnberg, Karina; Mølgaard, Christian; Michaelsen, Kim F.; Larnkjær, Anni; Bertram, Hanne Christine

doi:10.1155/2014/537157

Cited by 31 publications

(39 citation statements)

References 58 publications

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“…However, this result, as well as higher citrate excretion in females, corroborates a previous study on sex differences in children of 12–15 years old26 and adults27. These results should be corroborated in a larger study.…”

Section: Discussionsupporting

confidence: 91%

Assessment of metabolic phenotypic variability in children’s urine using 1H NMR spectroscopy

Maitre

Lau

Vizcaino

et al. 2017

Sci Rep

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The application of metabolic phenotyping in clinical and epidemiological studies is limited by a poor understanding of inter-individual, intra-individual and temporal variability in metabolic phenotypes. Using 1H NMR spectroscopy we characterised short-term variability in urinary metabolites measured from 20 children aged 8–9 years old. Daily spot morning, night-time and pooled (50:50 morning and night-time) urine samples across six days (18 samples per child) were analysed, and 44 metabolites quantified. Intraclass correlation coefficients (ICC) and mixed effect models were applied to assess the reproducibility and biological variance of metabolic phenotypes. Excellent analytical reproducibility and precision was demonstrated for the 1H NMR spectroscopic platform (median CV 7.2%). Pooled samples captured the best inter-individual variability with an ICC of 0.40 (median). Trimethylamine, N-acetyl neuraminic acid, 3-hydroxyisobutyrate, 3-hydroxybutyrate/3-aminoisobutyrate, tyrosine, valine and 3-hydroxyisovalerate exhibited the highest stability with over 50% of variance specific to the child. The pooled sample was shown to capture the most inter-individual variance in the metabolic phenotype, which is of importance for molecular epidemiology study design. A substantial proportion of the variation in the urinary metabolome of children is specific to the individual, underlining the potential of such data to inform clinical and exposome studies conducted early in life.

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Section: Discussionsupporting

confidence: 91%

Assessment of metabolic phenotypic variability in children’s urine using 1H NMR spectroscopy

Maitre

Lau

Vizcaino

et al. 2017

Sci Rep

View full text Add to dashboard Cite

show abstract

“…and overall bacteria attachment and colonization (43,44). A different stimulation of gut-bacteria activity after intake of either milk or cheese was suggested in a recent metabolomics study that showed that the microbiota-related metabolite hippurate was significantly higher in participants who ate cheese than in milk consumers and control participants (45). In the same study, cheese consumption was associated with an increased concentration of short-chain fatty acids in the gut, which was possibly induced by gut-microbiota modulation.…”

Section: Discussionmentioning

confidence: 92%

Nonfermented milk and other dairy products: associations with all-cause mortality,

Tognon¹,

Shungin

Lissner³

et al. 2017

The American Journal of Clinical Nutrition

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Background: A positive association between nonfermented milk intake and increased all-cause mortality was recently reported, but overall, the association between dairy intake and mortality is inconclusive. Objective: We studied associations between intake of dairy products and all-cause mortality with an emphasis on nonfermented milk and fat content. Design: A total of 103,256 adult participants (women: 51.0%) from Northern Sweden were included (7121 deaths; mean follow-up: 13.7 y). Associations between all-cause mortality and reported intakes of nonfermented milk (total or by fat content), fermented milk, cheese, and butter were tested with the use of Cox proportional hazards models that were adjusted for age, sex, body mass index, smoking status, education, energy intake, examination year, and physical activity. To circumvent confounding, Mendelian randomization was applied in a subsample via the lactase LCT-13910 C/T single nucleotide polymorphism that is associated with lactose tolerance and milk intake. Results: High consumers of nonfermented milk ($2.5 times/d) had a 32% increased hazard (HR: 1.32; 95% CI: 1.18, 1.48) for all-cause mortality compared with that of subjects who consumed milk #1 time/wk. The corresponding value for butter was 11% (HR: 1.11; 95% CI: 1.07, 1.21). All nonfermented milk-fat types were independently associated with increased HRs, but compared with full-fat milk, HRs were lower in consumers of medium-and low-fat milk. Fermented milk intake (HR: 0.90; 95% CI: 0.86, 0.94) and cheese intake (HR: 0.93; 95% CI: 0.91, 0.96) were negatively associated with mortality. Results were slightly attenuated by lifestyle adjustments but were robust in sensitivity analyses. Mortality was not significantly associated with the LCT-13910 C/T genotype in the smaller subsample. The amount and type of milk intake was associated with lifestyle variables. Conclusions: In the present Swedish cohort study, intakes of nonfermented milk and butter are associated with higher all-cause mortality, and fermented milk and cheese intakes are associated with lower all-cause mortality. Residual confounding by lifestyle cannot be excluded, and Mendelian randomization needs to be examined in a larger sample.Am J Clin Nutr 2017;105:1502-11.

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“…Therefore, it cannot be excluded that disease biomarkers are potentially biased by a sexspecific metabolism. Zheng et al [70] state that it is the pubertal stage, representing a critical time period regarding body development and body composition that is affected by the obesity epidemic, although this relationship is not yet clarified. In their study of pubertal boys and girls, they found differences between the sexes mainly in lipoproteins, PC, unsaturated lipids, and lower levels of choline in girls.…”

Section: Sex Differences and Puberty Effectsmentioning

confidence: 99%

“…Tanner stage was also associated with different metabolite concentrations, especially creatinine and citrate. The authors suggest that this is due to the muscle turnover, as girls enter puberty earlier than boys and therefore might have had a higher muscle mass [70] .…”

Section: Sex Differences and Puberty Effectsmentioning

confidence: 99%

Early Programming of Obesity Throughout the Life Course: A Metabolomics Perspective

et al. 2017

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Background: Over the last decades, research on early life risk factors for obesity and its comorbidities in early life has gained attention within the field of developmental origins of health and diseases. Metabolomics studies that are trying to find early life biomarker and intervention targets for the early development of obesity and associated cardiovascular diseases could help break the inter-generational cycle of obesity. Summary: Metabolomics studies in the field of early programming are scarce and causality is lacking at this stage, as most of the studies are cross-sectional. The main metabolites in the focus of obesity are branched-chain and aromatic amino acids, long-chain polyunsaturated fatty acids, lysophosphatidylcholines, and sphingomyelins. Sex and puberty have not been considered in most of the biomarker studies, but show differences in the metabolite associations to obesity. Key Messages: There is still a lot unknown about the associations between early programming exposures, metabolite concentrations, and the development of obesity. The few studies focusing on this topic find similar metabolite classes in the same age groups being associated with rapid early growth or obesity; but due to differences in the methodological and statistical approaches, the single species often differ. Therefore, more research, preferably with standardized approaches, is needed.

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NMR-Based Metabolomic Profiling of Overweight Adolescents: An Elucidation of the Effects of Inter-/Intraindividual Differences, Gender, and Pubertal Development

Cited by 31 publications

References 58 publications

Assessment of metabolic phenotypic variability in children’s urine using 1H NMR spectroscopy

Assessment of metabolic phenotypic variability in children’s urine using 1H NMR spectroscopy

Nonfermented milk and other dairy products: associations with all-cause mortality,

Early Programming of Obesity Throughout the Life Course: A Metabolomics Perspective

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