Rapid Growth and Childhood Obesity Are Strongly Associated with LysoPC(14:0)

Rzehak, Peter; Hellmuth, Christian; Uhl, Olaf; Kirchberg, Franca F.; Peißner, Wolfgang; Harder, Ulrike; Grote, Veit; Weber, Martina; Xhonneux, Annick; Langhendries, Jean‐Paul; Ferré, Natàlia; Closa‐Monasterolo, Ricardo; Verduci, Elvira; Riva, Enrica; Socha, Piotr; Gruszfeld, Dariusz; Koletzko, Berthold

doi:10.1159/000365037

Cited by 35 publications

(38 citation statements)

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“…10 μL) with high quantitative precision [71][72][73][74] . Such lipidomic measurements can serve to provide markers for tissue composition [75] and were shown to be associated with important clinical endpoints in children and adults [76][77][78] . It is therefore likely that the use of these sophisticated and detailed analytical methods, if combined with appropriate bioinformatics strategies, provide the opportunity to obtain better insights into the physiological roles of complex lipids in early life, which may lead to further improvements in nutritional strategies.…”

Section: Resultsmentioning

confidence: 99%

Human Milk Lipids

2016

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Human milk lipids provide the infant with energy and essential vitamins, polyunsaturated fatty acids, and bioactive components. Adding complex lipids and milk fat globule membranes to vegetable oil-based infant formula has the potential to enhance infant development and reduce infections. Cholesterol provision with breastfeeding modulates infant sterol metabolism and may induce long-term benefits. Some 98-99% of milk lipids are comprised by triacylglycerols, whose properties depend on incorporated fatty acids. Attention has been devoted to the roles of the long-chain polyunsaturated fatty acids docosahexaenoic (DHA) and arachidonic (ARA) acids. Recent studies on gene-diet interaction (Mendelian randomization) show that breastfeeding providing DHA and ARA improves cognitive development and reduces asthma risk at school age particularly in those children with a genetically determined lower activity of DHA and ARA synthesis. It appears prudent to follow the biological model of human milk in the design of infant formula as far as feasible, unless conclusive evidence for the suitability and safety of other choices is available. The recent European Union legislative stipulation of a high formula DHA content without required ARA deviates from this concept, and such a novel formula composition has not been adequately evaluated. Great future opportunities arise with significant methodological progress for example in lipidomic analyses and their bioinformatic evaluation, which should enhance understanding of the biology of human milk lipids. Such knowledge might lead to improved dietary advice to lactating mothers as well as to further opportunities to enhance infant formula composition.

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Section: Resultsmentioning

confidence: 99%

Human Milk Lipids

2016

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“…Higher levels of LPC species were reported in obese men [50] and also observed in an obese monozygotic twin study [51]. In a study designed to discover biomarkers that are indicative of weight change, LPC 14: 0 was shown to be strongly positively associated with rapid growth and childhood obesity [52]. In contrast to these positive associations other studies showed negative associations between serum LPCs and obesity [53-57].…”

Section: Discussionmentioning

confidence: 96%

Cord Blood Lysophosphatidylcholine 16: 1 is Positively Associated with Birth Weight

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Prehn

et al. 2018

Cell Physiol Biochem

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Background/Aims: Impaired birth outcomes, like low birth weight, have consistently been associated with increased disease susceptibility to hypertension in later life. Alterations in the maternal or fetal metabolism might impact on fetal growth and influence birth outcomes. Discerning associations between the maternal and fetal metabolome and surrogate parameters of fetal growth could give new insight into the complex relationship between intrauterine conditions, birth outcomes, and later life disease susceptibility. Methods: Using flow injection tandem mass spectrometry, targeted metabolomics was performed in serum samples obtained from 226 mother/child pairs at delivery. Associations between neonatal birth weight and concentrations of 163 maternal and fetal metabolites were analyzed. Results: After FDR adjustment using the Benjamini-Hochberg procedure lysophosphatidylcholines (LPC) 14: 0, 16: 1, and 18: 1 were strongly positively correlated with birth weight. In a stepwise linear regression model corrected for established confounding factors of birth weight, LPC 16: 1 showed the strongest independent association with birth weight (CI: 93.63 - 168.94; P = 6.94×10^-11 ). The association with birth weight was stronger than classical confounding factors such as offspring sex (CI: -258.81- -61.32; P = 0.002) and maternal smoking during pregnancy (CI: -298.74 - -29.51; P = 0.017). Conclusions: After correction for multiple testing and adjustment for potential confounders, LPC 16: 1 showed a very strong and independent association with birth weight. The underlying molecular mechanisms linking fetal LPCs with birth weight need to be addressed in future studies.

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“…Thus, the relationship of early weight gain (defined as change in weight-for-age from birth to 6 months of age) and the metabolome at 6 months of age was further investigated [37] . A total of 19 metabolites showed a significant association, but only LPC 14: 0 was significantly related to obesity at 5.5 years.…”

Section: Infancymentioning

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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Rapid Growth and Childhood Obesity Are Strongly Associated with LysoPC(14:0)

Cited by 35 publications

References 35 publications

Human Milk Lipids

Human Milk Lipids

Cord Blood Lysophosphatidylcholine 16: 1 is Positively Associated with Birth Weight

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

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