OBJECTIVE: To identify maternal dietary patterns related to biomarkers of methylation and to investigate associations between these dietary patterns and the risk of congenital heart defects (CHDs) in the offspring. DESIGN: Case-control study. SETTING: Western part of the Netherlands, 2003-08. POPULATION: One hundred and seventy-nine mothers of children with CHD and 231 mothers of children without a congenital malformation. METHODS: Food intake was obtained by food frequency questionnaires. The reduced rank regression method was used to identify dietary patterns related to the biomarker concentrations of methylation in blood. MAIN OUTCOME MEASURES: Dietary patterns, vitamin B and homocysteine concentrations, biomarkers of methylation (S-adenosylmethionine [SAM] and S-adenosylhomocysteine [SAH]) and the risk of CHD estimated by odds ratios and 95% confidence intervals. RESULTS: The one-carbon-poor dietary pattern, comprising a high intake of snacks, sugar-rich products and beverages, was associated with SAH (β = 0.92, P < 0.001). The one-carbon-rich dietary pattern with high fish and seafood intake was associated with SAM (β = 0.44, P < 0.001) and inversely with SAH (β =-0.08, P < 0.001). Strong adherence to this dietary pattern resulted in higher serum (P <0.05) and red blood cell (P < 0.01) folate and a reduced risk of CHD in offspring: odds ratio, 0.3 (95% confidence interval, 0.2-0.6). CONCLUSIONS: The one-carbon-rich dietary pattern, characterised by the high intake of fish and seafood, is associated with a reduced risk of CHD. This finding warrants further investigation in a randomised intervention trial.
OBJECTIVE: To identify maternal dietary patterns related to biomarkers of methylation and to investigate associations between these dietary patterns and the risk of congenital heart defects (CHDs) in the offspring. DESIGN: Case-control study. SETTING: Western part of the Netherlands, 2003-08. POPULATION: One hundred and seventy-nine mothers of children with CHD and 231 mothers of children without a congenital malformation. METHODS: Food intake was obtained by food frequency questionnaires. The reduced rank regression method was used to identify dietary patterns related to the biomarker concentrations of methylation in blood. MAIN OUTCOME MEASURES: Dietary patterns, vitamin B and homocysteine concentrations, biomarkers of methylation (S-adenosylmethionine [SAM] and S-adenosylhomocysteine [SAH]) and the risk of CHD estimated by odds ratios and 95% confidence intervals. RESULTS: The one-carbon-poor dietary pattern, comprising a high intake of snacks, sugar-rich products and beverages, was associated with SAH (β = 0.92, P < 0.001). The one-carbon-rich dietary pattern with high fish and seafood intake was associated with SAM (β = 0.44, P < 0.001) and inversely with SAH (β =-0.08, P < 0.001). Strong adherence to this dietary pattern resulted in higher serum (P <0.05) and red blood cell (P < 0.01) folate and a reduced risk of CHD in offspring: odds ratio, 0.3 (95% confidence interval, 0.2-0.6). CONCLUSIONS: The one-carbon-rich dietary pattern, characterised by the high intake of fish and seafood, is associated with a reduced risk of CHD. This finding warrants further investigation in a randomised intervention trial.
Authors: A L B Shapiro; J L Kaar; T L Crume; A P Starling; A M Siega-Riz; B M Ringham; D H Glueck; J M Norris; L A Barbour; J E Friedman; D Dabelea Journal: Int J Obes (Lond) Date: 2016-05-02 Impact factor: 5.095
Authors: Daniela Sotres-Alvarez; Anna Maria Siega-Riz; Amy H Herring; Suzan L Carmichael; Marcia L Feldkamp; Charlotte A Hobbs; Andrew F Olshan Journal: Am J Epidemiol Date: 2013-05-02 Impact factor: 4.897
Authors: Dayeon Shin; Junguk Hur; Eun-Hee Cho; Hae-Kyung Chung; Nitin Shivappa; Michael D Wirth; James R Hébert; Kyung Won Lee Journal: Nutrients Date: 2017-04-01 Impact factor: 5.717
Authors: Jiaomei Yang; Yijun Kang; Yue Cheng; Lingxia Zeng; Hong Yan; Shaonong Dang Journal: Int J Environ Res Public Health Date: 2019-08-16 Impact factor: 3.390
Authors: Trudy Voortman; Régine P M Steegers-Theunissen; Nienke E Bergen; Vincent W V Jaddoe; Caspar W N Looman; Jessica C Kiefte-de Jong; Sarah Schalekamp-Timmermans Journal: Nutrients Date: 2020-05-08 Impact factor: 5.717