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Noro F, Santonastaso F, Marotta A, Bonaccio M, Orlandi S, Tirozzi A, Costanzo S, De Curtis A, Gianfagna F, Di Castelnuovo A, Brighenti F, Cerletti C, Donati MB, de Gaetano G, Iacoviello L, Gialluisi A, Izzi B, de Gaetano G, Donati MB, Bonaccio M, Bonanni A, Cerletti C, Costanzo S, De Curtis A, Di Castelnuovo A, Gialluisi A, Gianfagna F, Persichillo M, Di Prospero T, Vermylen J, Pegoraro R, Spagnolo A, Assanelli D, Rago L, Costanzo S, Olivieri M, Panzera T, Di Castelnuovo A, Bonaccio M, Costanzo S, Esposito S, Gialluisi A, Gianfagna F, Orlandi S, Ruggiero E, Tirozzi A, De Curtis A, Magnacca S, Noro F, Tirozzi A, Persichillo M, Bracone F, Panzera T, Bonanni A. Association of nutritional glycaemic indices with global DNA methylation patterns: results from the Moli-sani cohort. Clin Epigenetics 2022; 14:189. [PMID: 36578055 PMCID: PMC9798643 DOI: 10.1186/s13148-022-01407-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 12/13/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND High dietary glycaemic index (GI) and load (GL) have been associated with increased risk of various cardiometabolic conditions. Among the molecular potential mechanisms underlying this relationship, DNA methylation has been studied, but a direct link between high GI and/or GL of diet and global DNA methylation levels has not been proved yet. We analyzed the associations between GI and GL and global DNA methylation patterns within an Italian population. RESULTS Genomic DNA methylation (5mC) and hydroxymethylation (5hmC) levels were measured in 1080 buffy coat samples from participants of the Moli-sani study (mean(SD) = 54.9(11.5) years; 52% women) via ELISA. A 188-item Food Frequency Questionnaire was used to assess food intake and dietary GI and GL for each participant were calculated. Multiple linear regressions were used to investigate the associations between dietary GI and GL and global 5mC and 5hmC levels, as well as the proportion of effect explained by metabolic and inflammatory markers. We found negative associations of GI with both 5mC (β (SE) = - 0.073 (0.027), p = 0.007) and 5hmC (- 0.084 (0.030), p = 0.006), and of GL with 5mC (- 0.14 (0.060), p = 0.014). Circulating biomarkers did not explain the above-mentioned associations. Gender interaction analyses revealed a significant association of the gender-x-GL interaction with 5mC levels, with men showing an inverse association three times as negative as in women (interaction β (SE) = - 0.16 (0.06), p = 0.005). CONCLUSIONS Our findings suggest that global DNA methylation and hydroxymethylation patterns represent a biomarker of carbohydrate intake. Based on the differential association of GL with 5mC between men and women, further gender-based separate approaches are warranted.
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Affiliation(s)
- Fabrizia Noro
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy
| | - Federica Santonastaso
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy ,grid.510779.d0000 0004 9414 6915Present Address: Human Technopole, Viale Rita Levi Montalcini 1, 20157 Milan, Italy ,grid.4708.b0000 0004 1757 2822Present Address: European School of Molecular Medicine, University of Milan, 20122 Milan, Italy
| | - Annalisa Marotta
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy ,grid.412451.70000 0001 2181 4941Present Address: Center of Predictive Molecular Medicine, Center for Excellence on Ageing and Translational Medicine (CAST), University of Chieti-Pescara, Chieti, Italy
| | - Marialaura Bonaccio
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy
| | - Sabatino Orlandi
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy
| | - Alfonsina Tirozzi
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy
| | - Simona Costanzo
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy
| | - Amalia De Curtis
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy
| | - Francesco Gianfagna
- grid.18147.3b0000000121724807EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy ,grid.477084.80000 0004 1787 3414Mediterranea Cardiocentro, Naples, Italy
| | | | - Furio Brighenti
- grid.10383.390000 0004 1758 0937Department of Food and Drug, University of Parma, Parma, Italy
| | - Chiara Cerletti
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy
| | - Maria Benedetta Donati
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy
| | - Giovanni de Gaetano
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy
| | - Licia Iacoviello
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy ,grid.18147.3b0000000121724807EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Alessandro Gialluisi
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy ,grid.18147.3b0000000121724807EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Benedetta Izzi
- grid.419543.e0000 0004 1760 3561Department of Epidemiology and Prevention, IRCCS Neuromed, Via Dell’Elettronica, 86077 Pozzilli, IS Italy
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Gonzalez-Nahm S, Marchesoni J, Maity A, Maguire RL, House JS, Tucker R, Atkinson T, Murphy SK, Hoyo C. Maternal Mediterranean Diet Adherence and Its Associations with Maternal Prenatal Stressors and Child Growth. Curr Dev Nutr 2022; 6:nzac146. [PMID: 36406812 PMCID: PMC9665863 DOI: 10.1093/cdn/nzac146] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 08/19/2022] [Accepted: 09/23/2022] [Indexed: 11/16/2022] Open
Abstract
Background Psychosocial and physiologic stressors, such as depression and obesity, during pregnancy can have negative consequences, such as increased systemic inflammation, contributing to chronic disease for both mothers and their unborn children. These conditions disproportionately affect racial/ethnic minorities. The effects of recommended dietary patterns in mitigating the effects of these stressors remain understudied. Objectives We aimed to evaluate the relations between maternal Mediterranean diet adherence (MDA) and maternal and offspring outcomes during the first decade of life in African Americans, Hispanics, and Whites. Methods This study included 929 mother-child dyads from the NEST (Newborn Epigenetics STudy), a prospective cohort study. FFQs were used to estimate MDA in pregnant women. Weight and height were measured in children between birth and age 8 y. Multivariable linear regression models were used to examine associations between maternal MDA, inflammatory cytokines, and pregnancy and postnatal outcomes. Results More than 55% of White women reported high MDA during the periconceptional period compared with 22% of Hispanic and 18% of African American women (P < 0.05). Higher MDA was associated with lower likelihood of depressive mood (β = -0.45; 95% CI: -0.90, -0.18; P = 0.02) and prepregnancy obesity (β = -0.29; 95% CI: -0.57, -0.0002; P = 0.05). Higher MDA was also associated with lower body size at birth, which was maintained to ages 3-5 and 6-8 y-this association was most apparent in White children (3-5 y: β = -2.9, P = 0.02; 6-8 y: β = -3.99, P = 0.01). Conclusions If replicated in larger studies, our data suggest that MDA provides a potent avenue by which effects of prenatal stressors on maternal and fetal outcomes can be mitigated to reduce ethnic disparities in childhood obesity.
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Affiliation(s)
- Sarah Gonzalez-Nahm
- Department of Nutrition, University of Massachusetts Amherst, Amherst, MA, USA
| | - Joddy Marchesoni
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - Arnab Maity
- Department of Statistics, North Carolina State University, Raleigh, NC, USA
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - John S House
- National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Rachel Tucker
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - Tamara Atkinson
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University, Durham, NC, USA
| | - Cathrine Hoyo
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
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