Literature DB >> 20929595

Metabolic imprinting, programming and epigenetics - a review of present priorities and future opportunities.

Bryan Hanley1, Jean Dijane, Mary Fewtrell, Alain Grynberg, Sandra Hummel, Claudine Junien, Berthold Koletzko, Sarah Lewis, Harald Renz, Michael Symonds, Marjan Gros, Lucien Harthoorn, Katherine Mace, Fiona Samuels, Eline M van Der Beek.   

Abstract

Metabolic programming and metabolic imprinting describe early life events, which impact upon on later physiological outcomes. Despite the increasing numbers of papers and studies, the distinction between metabolic programming and metabolic imprinting remains confusing. The former can be defined as a dynamic process whose effects are dependent upon a critical window(s) while the latter can be more strictly associated with imprinting at the genomic level. The clinical end points associated with these phenomena can sometimes be mechanistically explicable in terms of gene expression mediated by epigenetics. The predictivity of outcomes depends on determining if there is causality or association in the context of both early dietary exposure and future health parameters. The use of biomarkers is a key aspect of determining the predictability of later outcome, and the strengths of particular types of biomarkers need to be determined. It has become clear that several important health endpoints are impacted upon by metabolic programming/imprinting. These include the link between perinatal nutrition, nutritional epigenetics and programming at an early developmental stage and its link to a range of future health risks such as CVD and diabetes. In some cases, the evidence base remains patchy and associative, while in others, a more direct causality between early nutrition and later health is clear. In addition, it is also essential to acknowledge the communication to consumers, industry, health care providers, policy-making bodies as well as to the scientific community. In this way, both programming and, eventually, reprogramming can become effective tools to improve health through dietary intervention at specific developmental points.

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Year:  2010        PMID: 20929595     DOI: 10.1017/S0007114510003338

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  38 in total

1.  Age and time trends in the diet of young children: results of the DONALD study.

Authors:  Kristina Foterek; Annett Hilbig; Mathilde Kersting; Ute Alexy
Journal:  Eur J Nutr       Date:  2015-04-01       Impact factor: 5.614

2.  Development, brain plasticity and reward: early high-fat diet exposure confers vulnerability to obesity-view from the chair.

Authors:  C-D Walker
Journal:  Int J Obes Suppl       Date:  2012-12-11

3.  The regulation of hepatic Pon1 by a maternal high-fat diet is gender specific and may occur through promoter histone modifications in neonatal rats.

Authors:  Rita S Strakovsky; Xiyuan Zhang; Dan Zhou; Yuan-Xiang Pan
Journal:  J Nutr Biochem       Date:  2013-11-06       Impact factor: 6.048

4.  Developmental bisphenol A (BPA) exposure leads to sex-specific modification of hepatic gene expression and epigenome at birth that may exacerbate high-fat diet-induced hepatic steatosis.

Authors:  Rita S Strakovsky; Huan Wang; Nicki J Engeseth; Jodi A Flaws; William G Helferich; Yuan-Xiang Pan; Stéphane Lezmi
Journal:  Toxicol Appl Pharmacol       Date:  2015-03-05       Impact factor: 4.219

5.  Nutrient intake of Swiss toddlers.

Authors:  Thomas A Brunner; Luca Casetti; Petra Haueter; Pascal Müller; Andreas Nydegger; Johannes Spalinger
Journal:  Eur J Nutr       Date:  2017-08-10       Impact factor: 5.614

Review 6.  The Long-Term Effects of Dietary Nutrient Intakes during the First 2 Years of Life in Healthy Infants from Developed Countries: An Umbrella Review.

Authors:  Carlo Agostoni; Anat Guz-Mark; Luba Marderfeld; Gregorio P Milani; Marco Silano; Raanan Shamir
Journal:  Adv Nutr       Date:  2019-05-01       Impact factor: 8.701

7.  Utility and applicability of the "Childhood Obesity Risk Evaluation" (CORE)-index in predicting obesity in childhood and adolescence in Greece from early life: the "National Action Plan for Public Health".

Authors:  Yannis Manios; Elpis Vlachopapadopoulou; George Moschonis; Feneli Karachaliou; Theodora Psaltopoulou; Dimitra Koutsouki; Gregory Bogdanis; Vilelmine Carayanni; Angelos Hatzakis; Stefanos Michalacos
Journal:  Eur J Pediatr       Date:  2016-10-29       Impact factor: 3.183

8.  Body mass index growth trajectories associated with the different parameters of the metabolic syndrome at adulthood.

Authors:  K V Giudici; M-F Rolland-Cachera; G Gusto; D Goxe; O Lantieri; S Hercberg; S Péneau
Journal:  Int J Obes (Lond)       Date:  2017-05-22       Impact factor: 5.095

9.  Association between full breastfeeding, timing of complementary food introduction, and iron status in infancy in Germany: results of a secondary analysis of a randomized trial.

Authors:  Lars Libuda; Annett Hilbig; Seda Berber-Al-Tawil; Hermann Kalhoff; Mathilde Kersting
Journal:  Eur J Nutr       Date:  2016-10-24       Impact factor: 5.614

10.  Maternal cinnamon intake during lactation led to visceral obesity and hepatic metabolic dysfunction in the adult male offspring.

Authors:  Jessika Geisebel Oliveira Neto; Thais Bento-Bernardes; Carmen Cabanelas Pazos-Moura; Karen Jesus Oliveira
Journal:  Endocrine       Date:  2018-10-01       Impact factor: 3.633

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