Cargando…
Interactions of BDNF Val66met and dietary indices in relation to metabolic markers among patient with type 2 diabetes mellitus: a cross-sectional study
BACKGROUND: Gene–diet interaction is related to the progression of diabetes and cardiovascular diseases biomarkers. We aimed to evaluate the interaction between diet quality indices and BDNF Val66Mat (rs6265) on cardiometabolic markers among diabetic patients. METHODS: This cross-sectional study was...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111776/ https://www.ncbi.nlm.nih.gov/pubmed/37072879 http://dx.doi.org/10.1186/s41043-023-00375-5 |
_version_ | 1785027515837841408 |
---|---|
author | Naeini, Zeinab Abaj, Faezeh Rafiee, Masoumeh Koohdani, Fariba |
author_facet | Naeini, Zeinab Abaj, Faezeh Rafiee, Masoumeh Koohdani, Fariba |
author_sort | Naeini, Zeinab |
collection | PubMed |
description | BACKGROUND: Gene–diet interaction is related to the progression of diabetes and cardiovascular diseases biomarkers. We aimed to evaluate the interaction between diet quality indices and BDNF Val66Mat (rs6265) on cardiometabolic markers among diabetic patients. METHODS: This cross-sectional study was conducted on 634 patients with type 2 diabetes mellitus, which were randomly recruited from diabetic centers in Tehran. Dietary intakes were estimated by a previously validated semi-quantitative food frequency questionnaire comprising 147 items. All participants were categorized into three categories, based on healthy eating index (HEI), diet quality index (DQI), and phytochemical index (PI) scores. Polymerase chain reaction was used for genotyping the BDNF Val66Met. Interactions were tested using analysis of covariance in adjusted and crude models. RESULTS: Our result showed that higher DQI, HEI, and PI scores significantly decrease body mass index and waist circumference among individuals with Met/Met, Val/Met, and Val/Val genotypes (P interactions < 0.05). Moreover, the highest quartile of the DQI and PI, compared to the lowest, showed lower TG level among Met allele carriers compared to Val/Val homozygotes (P interaction = 0.004 and 0.01, respectively) and a faster reduction in IL-18 and TC level was seen among Met/Met, Val/Met who had higher HEI intake than those with Val/Val genotype. CONCLUSIONS: BDNF Val66Met polymorphism may interact with HEI, DQI, and PI. We have revealed that Met allele acts as a protective allele for diabetic patients and may have a beneficial influence on cardio-metabolic factors through regulating dietary intake. |
format | Online Article Text |
id | pubmed-10111776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101117762023-04-19 Interactions of BDNF Val66met and dietary indices in relation to metabolic markers among patient with type 2 diabetes mellitus: a cross-sectional study Naeini, Zeinab Abaj, Faezeh Rafiee, Masoumeh Koohdani, Fariba J Health Popul Nutr Research BACKGROUND: Gene–diet interaction is related to the progression of diabetes and cardiovascular diseases biomarkers. We aimed to evaluate the interaction between diet quality indices and BDNF Val66Mat (rs6265) on cardiometabolic markers among diabetic patients. METHODS: This cross-sectional study was conducted on 634 patients with type 2 diabetes mellitus, which were randomly recruited from diabetic centers in Tehran. Dietary intakes were estimated by a previously validated semi-quantitative food frequency questionnaire comprising 147 items. All participants were categorized into three categories, based on healthy eating index (HEI), diet quality index (DQI), and phytochemical index (PI) scores. Polymerase chain reaction was used for genotyping the BDNF Val66Met. Interactions were tested using analysis of covariance in adjusted and crude models. RESULTS: Our result showed that higher DQI, HEI, and PI scores significantly decrease body mass index and waist circumference among individuals with Met/Met, Val/Met, and Val/Val genotypes (P interactions < 0.05). Moreover, the highest quartile of the DQI and PI, compared to the lowest, showed lower TG level among Met allele carriers compared to Val/Val homozygotes (P interaction = 0.004 and 0.01, respectively) and a faster reduction in IL-18 and TC level was seen among Met/Met, Val/Met who had higher HEI intake than those with Val/Val genotype. CONCLUSIONS: BDNF Val66Met polymorphism may interact with HEI, DQI, and PI. We have revealed that Met allele acts as a protective allele for diabetic patients and may have a beneficial influence on cardio-metabolic factors through regulating dietary intake. BioMed Central 2023-04-18 /pmc/articles/PMC10111776/ /pubmed/37072879 http://dx.doi.org/10.1186/s41043-023-00375-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Naeini, Zeinab Abaj, Faezeh Rafiee, Masoumeh Koohdani, Fariba Interactions of BDNF Val66met and dietary indices in relation to metabolic markers among patient with type 2 diabetes mellitus: a cross-sectional study |
title | Interactions of BDNF Val66met and dietary indices in relation to metabolic markers among patient with type 2 diabetes mellitus: a cross-sectional study |
title_full | Interactions of BDNF Val66met and dietary indices in relation to metabolic markers among patient with type 2 diabetes mellitus: a cross-sectional study |
title_fullStr | Interactions of BDNF Val66met and dietary indices in relation to metabolic markers among patient with type 2 diabetes mellitus: a cross-sectional study |
title_full_unstemmed | Interactions of BDNF Val66met and dietary indices in relation to metabolic markers among patient with type 2 diabetes mellitus: a cross-sectional study |
title_short | Interactions of BDNF Val66met and dietary indices in relation to metabolic markers among patient with type 2 diabetes mellitus: a cross-sectional study |
title_sort | interactions of bdnf val66met and dietary indices in relation to metabolic markers among patient with type 2 diabetes mellitus: a cross-sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111776/ https://www.ncbi.nlm.nih.gov/pubmed/37072879 http://dx.doi.org/10.1186/s41043-023-00375-5 |
work_keys_str_mv | AT naeinizeinab interactionsofbdnfval66metanddietaryindicesinrelationtometabolicmarkersamongpatientwithtype2diabetesmellitusacrosssectionalstudy AT abajfaezeh interactionsofbdnfval66metanddietaryindicesinrelationtometabolicmarkersamongpatientwithtype2diabetesmellitusacrosssectionalstudy AT rafieemasoumeh interactionsofbdnfval66metanddietaryindicesinrelationtometabolicmarkersamongpatientwithtype2diabetesmellitusacrosssectionalstudy AT koohdanifariba interactionsofbdnfval66metanddietaryindicesinrelationtometabolicmarkersamongpatientwithtype2diabetesmellitusacrosssectionalstudy |