Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake
Introduction: Dopamine (DA) is a neurotransmitter that regulates the rewarding and motivational processes underlying food intake and eating behaviors. This study hy-pothesized associations of DNA methylation signatures at genes modulating DA sign -aling with obesity features, metabolic profiles, and...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universidad de Navarra |
| Repositorio: | Dadun. Depósito Académico Digital de la Universidad de Navarra |
| Idioma: | inglés |
| OAI Identifier: | oai:dadun.unav.edu:10171/64945 |
| Acceso en línea: | https://hdl.handle.net/10171/64945 |
| Access Level: | acceso abierto |
| Palabra clave: | Diet Dopamine Epigenetics Obesity SLC18A1 SLC6A3 |
| id |
ES_25580fc42871f2b8d6a0cb693e31f37f |
|---|---|
| oai_identifier_str |
oai:dadun.unav.edu:10171/64945 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intakeRamos-López, O. (Omar)|||/items/40f32b89-391b-4e9a-aca7-948596cbfe94Riezu-Boj, J.I. (José Ignacio)|||/items/87349e89-7360-4cdd-81be-2e8a6174b5f6Milagro-Yoldi, F.I. (Fermín Ignacio)|||/items/07cf7af6-1f5f-4720-8c14-5197a7a724ebMartinez, J.A. (José Alfredo)|||/items/6a3581ea-897b-4439-a95c-19301775e131DietDopamineEpigeneticsObesitySLC18A1SLC6A3Introduction: Dopamine (DA) is a neurotransmitter that regulates the rewarding and motivational processes underlying food intake and eating behaviors. This study hy-pothesized associations of DNA methylation signatures at genes modulating DA sign -aling with obesity features, metabolic profiles, and dietary intake.Methods: An adult population within the Methyl Epigenome Network Association project was included (n = 473). DNA methylation levels in white blood cells were measured by microarray (450K). Differentially methylated genes were mapped within the dopaminergic synapse pathway using the KEGG reference database (map04728). Subsequently, network enrichment analyses were run in the pathDIP portal. Associations of methylation patterns with anthropometric markers of general (BMI) and abdominal obesity (waist circumference), the blood metabolic profile, and daily dietary intakes were screened.Results: After applying a correction for multiple comparisons, 12 CpG sites were strongly associated (p <0.0001) with BMI: cg03489495 (ITPR3), cg22851378 (PPP2R2D), cg04021127 (PPP2R2D), cg22441882 (SLC18A1), cg03045635 (DRD5), cg23341970 (ITPR2), cg13051970 (DDC), cg08943004 (SLC6A3), cg20557710 (C ACNA1C), cg24085522 (GNAL), cg16846691 (ITPR2), and cg09691393 (SLC6A3). Moreover, average methylation levels of these genes differed according to the pres -ence or absence of abdominal obesity. Pathway analyses revealed a statistically sig-nificant contribution of the aforementioned genes to dopaminergic synapse transmission (p =4.78E−08). Furthermore,SLC18A1 and SLC6A3 gene methylation signatures correlated with total energy (p <0.001) and carbohydrate (p <0.001) intakes.Conclusions: The results of this investigation reveal that methylation status on DA signaling genes may underlie epigenetic mechanisms contributing to carbohydrate and calorie consumption and fat deposition.Wiley Open AccessDadun. Depósito Académico Digital Universidad de Navarra20222022-12-2120182018-01-0120182018-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10171/64945reponame:Dadun. Depósito Académico Digital de la Universidad de Navarrainstname:Universidad de NavarraInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dadun.unav.edu:10171/649452026-06-21T12:47:57Z |
| dc.title.none.fl_str_mv |
Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake |
| title |
Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake |
| spellingShingle |
Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake Ramos-López, O. (Omar)|||/items/40f32b89-391b-4e9a-aca7-948596cbfe94 Diet Dopamine Epigenetics Obesity SLC18A1 SLC6A3 |
| title_short |
Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake |
| title_full |
Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake |
| title_fullStr |
Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake |
| title_full_unstemmed |
Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake |
| title_sort |
Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake |
| dc.creator.none.fl_str_mv |
Ramos-López, O. (Omar)|||/items/40f32b89-391b-4e9a-aca7-948596cbfe94 Riezu-Boj, J.I. (José Ignacio)|||/items/87349e89-7360-4cdd-81be-2e8a6174b5f6 Milagro-Yoldi, F.I. (Fermín Ignacio)|||/items/07cf7af6-1f5f-4720-8c14-5197a7a724eb Martinez, J.A. (José Alfredo)|||/items/6a3581ea-897b-4439-a95c-19301775e131 |
| author |
Ramos-López, O. (Omar)|||/items/40f32b89-391b-4e9a-aca7-948596cbfe94 |
| author_facet |
Ramos-López, O. (Omar)|||/items/40f32b89-391b-4e9a-aca7-948596cbfe94 Riezu-Boj, J.I. (José Ignacio)|||/items/87349e89-7360-4cdd-81be-2e8a6174b5f6 Milagro-Yoldi, F.I. (Fermín Ignacio)|||/items/07cf7af6-1f5f-4720-8c14-5197a7a724eb Martinez, J.A. (José Alfredo)|||/items/6a3581ea-897b-4439-a95c-19301775e131 |
| author_role |
author |
| author2 |
Riezu-Boj, J.I. (José Ignacio)|||/items/87349e89-7360-4cdd-81be-2e8a6174b5f6 Milagro-Yoldi, F.I. (Fermín Ignacio)|||/items/07cf7af6-1f5f-4720-8c14-5197a7a724eb Martinez, J.A. (José Alfredo)|||/items/6a3581ea-897b-4439-a95c-19301775e131 |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
Dadun. Depósito Académico Digital Universidad de Navarra |
| dc.subject.none.fl_str_mv |
Diet Dopamine Epigenetics Obesity SLC18A1 SLC6A3 |
| topic |
Diet Dopamine Epigenetics Obesity SLC18A1 SLC6A3 |
| description |
Introduction: Dopamine (DA) is a neurotransmitter that regulates the rewarding and motivational processes underlying food intake and eating behaviors. This study hy-pothesized associations of DNA methylation signatures at genes modulating DA sign -aling with obesity features, metabolic profiles, and dietary intake.Methods: An adult population within the Methyl Epigenome Network Association project was included (n = 473). DNA methylation levels in white blood cells were measured by microarray (450K). Differentially methylated genes were mapped within the dopaminergic synapse pathway using the KEGG reference database (map04728). Subsequently, network enrichment analyses were run in the pathDIP portal. Associations of methylation patterns with anthropometric markers of general (BMI) and abdominal obesity (waist circumference), the blood metabolic profile, and daily dietary intakes were screened.Results: After applying a correction for multiple comparisons, 12 CpG sites were strongly associated (p <0.0001) with BMI: cg03489495 (ITPR3), cg22851378 (PPP2R2D), cg04021127 (PPP2R2D), cg22441882 (SLC18A1), cg03045635 (DRD5), cg23341970 (ITPR2), cg13051970 (DDC), cg08943004 (SLC6A3), cg20557710 (C ACNA1C), cg24085522 (GNAL), cg16846691 (ITPR2), and cg09691393 (SLC6A3). Moreover, average methylation levels of these genes differed according to the pres -ence or absence of abdominal obesity. Pathway analyses revealed a statistically sig-nificant contribution of the aforementioned genes to dopaminergic synapse transmission (p =4.78E−08). Furthermore,SLC18A1 and SLC6A3 gene methylation signatures correlated with total energy (p <0.001) and carbohydrate (p <0.001) intakes.Conclusions: The results of this investigation reveal that methylation status on DA signaling genes may underlie epigenetic mechanisms contributing to carbohydrate and calorie consumption and fat deposition. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018 2018-01-01 2018 2018-01-01 2022 2022-12-21 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/10171/64945 |
| url |
https://hdl.handle.net/10171/64945 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Wiley Open Access |
| publisher.none.fl_str_mv |
Wiley Open Access |
| dc.source.none.fl_str_mv |
reponame:Dadun. Depósito Académico Digital de la Universidad de Navarra instname:Universidad de Navarra |
| instname_str |
Universidad de Navarra |
| reponame_str |
Dadun. Depósito Académico Digital de la Universidad de Navarra |
| collection |
Dadun. Depósito Académico Digital de la Universidad de Navarra |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869404751641182208 |
| score |
15,300719 |