Literature DB >> 30966889

Metabolic programming in early life in humans.

Caroline H D Fall1, Kalyanaraman Kumaran1,2.   

Abstract

An association of low birth weight with an increased risk of adult cardiovascular disease and diabetes led to the developmental origins of health and disease (DOHaD) hypothesis, which proposes that undernutrition during early development permanently 'programmes' organ structure and metabolism, leading to vulnerability to later cardio-metabolic disease. High birth weight caused by maternal gestational diabetes is also associated with later diabetes, suggesting that fetal over-nutrition also has programming effects. Post-natal factors (excess weight gain/obesity, smoking, poor diets and physical inactivity) interact with fetal exposures to increase disease risk. Animal studies have shown permanent metabolic effects in offspring after alterations to maternal or early post-natal diets but evidence in humans is largely limited to observational and quasi-experimental situations such as maternal famine exposure. Randomized trials of maternal nutritional interventions during pregnancy have so far had limited follow-up of the offspring. Moreover, interventions usually started after the first trimester and therefore missed key peri-conceptional or early pregnancy events such as epigenetic changes, placentation and fetal organogenesis. Recent and ongoing trials intervening pre-conceptionally and powered for long-term offspring follow-up will address these issues. While current preventive strategies for cardio-metabolic disease focus on high-risk individuals in mid-life, DOHaD concepts offer a 'primordial' preventive strategy to reduce disease in future generations by improving fetal and infant development. This article is part of the theme issue 'Developing differences: early-life effects and evolutionary medicine'.

Entities:  

Keywords:  birth weight; cardiovascular disease; childhood weight gain; developmental origins of health and disease; programming; type 2 diabetes

Mesh:

Year:  2019        PMID: 30966889      PMCID: PMC6460078          DOI: 10.1098/rstb.2018.0123

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  83 in total

1.  Effects of lifestyle intervention in pregnancy and anthropometrics at birth on offspring metabolic profile at 2.8 years: results from the Lifestyle in Pregnancy and Offspring (LiPO) study.

Authors:  Mette Tanvig; Christina A Vinter; Jan S Jørgensen; Sonja Wehberg; Per G Ovesen; Henning Beck-Nielsen; Henrik T Christesen; Dorte M Jensen
Journal:  J Clin Endocrinol Metab       Date:  2015-01       Impact factor: 5.958

2.  Maternal insulin sensitivity during pregnancy predicts infant weight gain and adiposity at 1 year of age.

Authors:  Jill K Hamilton; Ewa Odrobina; Junlang Yin; Anthony J Hanley; Bernard Zinman; Ravi Retnakaran
Journal:  Obesity (Silver Spring)       Date:  2009-08-06       Impact factor: 5.002

Review 3.  Prenatal glucocorticoids and long-term programming.

Authors:  Jonathan R Seckl
Journal:  Eur J Endocrinol       Date:  2004-11       Impact factor: 6.664

4.  Effect of treatment of gestational diabetes mellitus on obesity in the next generation.

Authors:  Matthew W Gillman; Helena Oakey; Peter A Baghurst; Robert E Volkmer; Jeffrey S Robinson; Caroline A Crowther
Journal:  Diabetes Care       Date:  2010-02-11       Impact factor: 19.112

5.  Protein intake in pregnancy, placental glucocorticoid metabolism and the programming of hypertension in the rat.

Authors:  S C Langley-Evans; G J Phillips; R Benediktsson; D S Gardner; C R Edwards; A A Jackson; J R Seckl
Journal:  Placenta       Date:  1996 Mar-Apr       Impact factor: 3.481

6.  Evidence for the intra-uterine programming of adiposity in later life.

Authors:  Caroline H D Fall
Journal:  Ann Hum Biol       Date:  2011-06-17       Impact factor: 1.533

7.  Infant-feeding patterns and cardiovascular risk factors in young adulthood: data from five cohorts in low- and middle-income countries.

Authors:  Caroline Hd Fall; Judith B Borja; Clive Osmond; Linda Richter; Santosh K Bhargava; Reynaldo Martorell; Aryeh D Stein; Fernando C Barros; Cesar G Victora
Journal:  Int J Epidemiol       Date:  2010-09-17       Impact factor: 7.196

8.  Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study: associations with neonatal anthropometrics.

Authors: 
Journal:  Diabetes       Date:  2008-11-14       Impact factor: 9.461

9.  Effect of antenatal multiple micronutrient supplementation on anthropometry and blood pressure in mid-childhood in Nepal: follow-up of a double-blind randomised controlled trial.

Authors:  Delan Devakumar; Shiva Shankar Chaube; Jonathan C K Wells; Naomi M Saville; Jon G Ayres; Dharma S Manandhar; Anthony Costello; David Osrin
Journal:  Lancet Glob Health       Date:  2014-10-22       Impact factor: 26.763

Review 10.  Diet, physical activity and behavioural interventions for the treatment of overweight or obese children from the age of 6 to 11 years.

Authors:  Emma Mead; Tamara Brown; Karen Rees; Liane B Azevedo; Victoria Whittaker; Dan Jones; Joan Olajide; Giulia M Mainardi; Eva Corpeleijn; Claire O'Malley; Elizabeth Beardsmore; Lena Al-Khudairy; Louise Baur; Maria-Inti Metzendorf; Alessandro Demaio; Louisa J Ells
Journal:  Cochrane Database Syst Rev       Date:  2017-06-22
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  26 in total

1.  Developing differences: early-life effects and evolutionary medicine.

Authors:  Bram Kuijper; Mark A Hanson; Emma I K Vitikainen; Harry H Marshall; Susan E Ozanne; Michael A Cant
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-04-15       Impact factor: 6.237

2.  Feasibility of identifying and describing the burden of early-onset metabolic syndrome in primary care electronic medical record data: a cross-sectional analysis.

Authors:  Jamie J Boisvenue; Carlo U Oliva; Donna P Manca; Jeffrey A Johnson; Roseanne O Yeung
Journal:  CMAJ Open       Date:  2020-11-24

3.  Admixture mapping of anthropometric traits in the Black Women's Health Study: evidence of a shared African ancestry component with birth weight and type 2 diabetes.

Authors:  Yue Wu; Julie R Palmer; Lynn Rosenberg; Edward A Ruiz-Narváez
Journal:  J Hum Genet       Date:  2022-01-12       Impact factor: 3.172

4.  Effect of high-fat diet for rats at different stages on glucose and lipid metabolism in offspring and related mechanisms.

Authors:  Ming Wei; Di Zhan; Zhu-Xi Li; Huan-Yu Wang; Ying Xing; Xiao-Ping Luo
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2021-11-15

Review 5.  Gestational Diabetes Mellitus and Energy-Dense Diet: What Is the Role of the Insulin/IGF Axis?

Authors:  Irene Martín-Estal; Fabiola Castorena-Torres
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-23       Impact factor: 6.055

6.  Early Life Exposure to Nicotine: Postnatal Metabolic, Neurobehavioral and Respiratory Outcomes and the Development of Childhood Cancers.

Authors:  Laiba Jamshed; Genevieve A Perono; Shanza Jamshed; Alison C Holloway
Journal:  Toxicol Sci       Date:  2020-11-01       Impact factor: 4.849

7.  Early life stress in mice alters gut microbiota independent of maternal microbiota inheritance.

Authors:  Keri M Kemp; Jackson Colson; Robin G Lorenz; Craig L Maynard; Jennifer S Pollock
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2021-03-03       Impact factor: 3.619

8.  Early overnutrition in male mice negates metabolic benefits of a diet high in monounsaturated and omega-3 fats.

Authors:  Maria M Glavas; Queenie Hui; Ian Miao; Fan Yang; Suheda Erener; Kacey J Prentice; Michael B Wheeler; Timothy J Kieffer
Journal:  Sci Rep       Date:  2021-07-07       Impact factor: 4.379

Review 9.  Maternal microbiome in preeclampsia pathophysiology and implications on offspring health.

Authors:  Jeanne A Ishimwe
Journal:  Physiol Rep       Date:  2021-05

10.  Prenatal Nicotine Exposure Induces Low Birthweight and Hyperinsulinemia in Male Rats.

Authors:  Takahiro Nemoto; Hisae Ando; Mototsugu Nagao; Yoshihiko Kakinuma; Hitoshi Sugihara
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-09       Impact factor: 5.555

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