Dataset Information

Nutrigenetic Interaction Between Apolipoprotein C3 Polymorphism and Fat Intake in People with Nonalcoholic Fatty Liver Disease.

ABSTRACT:

Background

Recent genome-wide association studies have revealed that nonalcoholic fatty liver disease (NAFLD) is correlated with genetic polymorphisms. However, the effects of genetic variation on nutritional metabolism and NAFLD are complex and further studies are still needed.

Objectives

This study aimed to assess the nutritional characteristics interacting with the correlation between genetic predisposition and NAFLD.

Methods

We assessed the 2013-2017 health examination data of 1191 adults aged ≥40 y living in Shika town, Ishikawa Prefecture, Japan. Adults with moderate or heavy alcohol consumption and hepatitis were excluded, and 464 participants who underwent genetic analyses were included in the study. Abdominal echography was performed to diagnose fatty liver condition, and dietary intake and nutritional balance were evaluated using the brief self-administered diet history questionnaire. NAFLD-related gene polymorphisms were identified using Japonica Array v2 (Toshiba).

Results

Among the 31 single nucleotide polymorphisms, only the polymorphism T-455C in the apolipoprotein C3 (APOC3) gene (rs2854116) was significantly associated with fatty liver condition. The condition was more common in participants with heterozygotes of the APOC3 gene (rs2854116) than in those with the TT and CC genotypes. Significant interactions were observed between NAFLD and the intake of fat, vegetable fat, MUFAs, PUFAs, cholesterol, n-3 FAs, and n-6 FAs. Moreover, participants with NAFLD who presented with the TT genotype had a significantly higher fat intake than those without NAFLD.

Conclusions

The polymorphism T-455C in the APOC3 gene (rs2854116) and fat intake are associated with the NAFLD risk in Japanese adults. Participants with a fatty liver who presented with the TT genotype of rs2854116 had a higher fat intake. Such nutrigenetic interaction can deepen our understanding of the NAFLD pathology. Moreover, in clinical settings, the correlation between genetic factors and nutrition intake should be considered in personalized nutritional interventions against NAFLD. Curr Dev Nutr 2023;xx:xx.The study was registered in the University Hospital Medical Information Network Clinical Trials Registry as UMIN 000024915.

SUBMITTER: Yamamoto R

PROVIDER: S-EPMC10257212 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Nutrigenetic Interaction Between Apolipoprotein C3 Polymorphism and Fat Intake in People with Nonalcoholic Fatty Liver Disease.

Yamamoto Reina R Takeshita Yumie Y Tsujiguchi Hiromasa H Kannon Takayuki T Sato Takehiro T Hosomichi Kazuyoshi K Suzuki Keita K Kita Yuki Y Tanaka Takeo T Goto Hisanori H Nakano Yujiro Y Yamashita Tatsuya T Kaneko Shuichi S Tajima Atsushi A Nakamura Hiroyuki H Takamura Toshinari T

Current developments in nutrition 20230302 4

<h4>Background</h4>Recent genome-wide association studies have revealed that nonalcoholic fatty liver disease (NAFLD) is correlated with genetic polymorphisms. However, the effects of genetic variation on nutritional metabolism and NAFLD are complex and further studies are still needed.<h4>Objectives</h4>This study aimed to assess the nutritional characteristics interacting with the correlation between genetic predisposition and NAFLD.<h4>Methods</h4>We assessed the 2013-2017 health examination ...[more]

PMID: 37304843

Similar Datasets

Project description:Recent evidence suggests that lifestyle factors influence the association between the Melanocortin 4 receptor (MC4R) and Transcription Factor 7-Like 2 (TCF7L2) gene variants and cardio-metabolic traits in several populations; however, the available research is limited among the Asian Indian population. Hence, the present study examined whether the association between the MC4R single nucleotide polymorphism (SNP) (rs17782313) and two SNPs of the TCF7L2 gene (rs12255372 and rs7903146) and cardio-metabolic traits is modified by dietary factors and physical activity. This cross sectional study included a random sample of normal glucose tolerant (NGT) (n = 821) and participants with type 2 diabetes (T2D) (n = 861) recruited from the urban part of the Chennai Urban Rural Epidemiology Study (CURES). A validated food frequency questionnaire (FFQ) was used for dietary assessment and self-reported physical activity measures were collected. The threshold for significance was set at P = 0.00023 based on Bonferroni correction for multiple testing [(0.05/210 (3 SNPs x 14 outcomes x 5 lifestyle factors)]. After Bonferroni correction, there was a significant interaction between the TCF7L2 rs12255372 SNP and fat intake (g/day) (Pinteraction = 0.0001) on high-density lipoprotein cholesterol (HDL-C), where the 'T' allele carriers in the lowest tertile of total fat intake had higher HDL-C (P = 0.008) and those in the highest tertile (P = 0.017) had lower HDL-C compared to the GG homozygotes. In a secondary analysis of SNPs with the subtypes of fat, there was also a significant interaction between the SNP rs12255372 and polyunsaturated fatty acids (PUFA, g/day) (Pinteraction<0.0001) on HDL-C, where the minor allele carriers had higher HDL-C in the lowest PUFA tertile (P = 0.024) and those in the highest PUFA tertile had lower HDL-C (P = 0.028) than GG homozygotes. In addition, a significant interaction was also seen between TCF7L2 SNP rs12255372 and fibre intake (g/day) on HDL-C (Pinteraction<0.0001). None of the other interactions between the SNPs and lifestyle factors were statistically significant after correction for multiple testing. Our findings indicate that the association between TCF7L2 SNP rs12255372 and HDL-C may be modified by dietary fat intake in this Asian Indian population.

Project description:Context Dyslipidemia is a multifactorial disease in which lipoproteins play an important role as one of the early markers for coronary heart disease (CHD). Mixed dyslipidemia is common in people with diabetes mellitus, but nondiabetic dyslipidemics (NDD) remain unidentified for the risk of developing dyslipidemia and eventually CHD. Objectives This pilot study attempts to analyze the genetic basis of lipid metabolism alterations, emphasizing the association between fatty acid-binding protein-2 (FABP2-Ala54Thr) and apolipoprotein-C3 (APOC3-rs5128) genetic polymorphism, as a risk for developing dyslipidemia and CHD in NDD. Methods and Design Total 90 subjects-30 DD, 30 NDD, and 30 apparently healthy subjects representing Central India-were included. Biochemical analysis and DNA genotyping were done by polymerase chain reaction restriction fragment length polymorphism. Statistical Analysis The biochemical parameters were reported as means ± standard deviation. One-way analysis of variance test was used to compare biochemical parameters of three groups. Chi-squared test was done to compare genotype distributions. The strength of association was assessed by odds ratios (ORs) with 95% confidence intervals (CIs). All statistical analysis was done using SPSS-PC software and Graph Pad. Results In NDD, maximum polymorphism was observed followed by DD and least polymorphism was observed in controls. There was a significant association of APOC3 G allele with occurrence of hypertriglyceridemia ( p < 0.05); however, no such association was found for FABP2 A allele ( p > 0.05). Logistic regression analysis revealed APOC3 polymorphism to be significantly associated with dyslipidemia (OR = 2.6667, 95% CI = 1.0510-6.7663, p = 0.0341); no such association was found for FABP2 polymorphism (OR = 0.4643, 95% CI = 0.1641-1.3136, p = 0.1347). The triglyceride and cholesterol values in individuals with homozygous genotype indicate that genetic study is comparable to the biochemical findings in carriers of polymorphic allele than noncarriers, especially in NDD patients. Conclusions Pilot study indicates that the presence of APOC3 gene polymorphism is associated with pro-atherogenic dyslipidemia in nondiabetic patients and may raise risk of CHD. This information could be used for preventive strategies in NDD group that may otherwise go unnoticed.

Project description:BackgroundParaoxonase 1 (PON1) gene polymorphisms and polyphenols intake have been reported independently associated to lipid profile and susceptibility to atherosclerosis and cardiovascular disease. However, the interaction between these factors remains to be investigated. We performed an observational nutrigenetic study to examine whether the interaction between polyphenols and anthocyanins intake and PON1 genetic variants can modulate biomarkers of cardiovascular health in an Italian healthy population.MethodsWe recruited 443 healthy volunteers who participated in the EC funded ATHENA project (AnThocyanin and polyphenols bioactive for Health Enhancement through Nutritional Advancement). Data collection included detailed demographic, clinical, dietary, lifestyle, biochemical and genetic data. Polyphenols and anthocyanins intake was measured by 24 h dietary recall repeated three times a year in order to get seasonal variations. We tested the interaction between 18 independent tagging SNPs in PON1 gene and polyphenols intake on HDL, LDL, cholesterol, triglycerides and atherogenic index of plasma.ResultsWithout considering the genetic background, we could not observe significant differences in the lipid profile between high and low polyphenols and anthocyanins intake. Using a nutrigenetic approach, we identified protective genotypes in four independent polymorphisms that, at Bonferroni level (p ≤ 0.0028), present a significant association with increased HDL level under high polyphenols and anthocyanins intake, compared to risk genotypes (rs854549, Beta = 4.7 per C allele; rs854552, Beta = 5.6 per C allele; rs854571, Beta = 3.92 per T allele; rs854572, Beta = 3.94 per C allele).ConclusionsWe highlight the protective role of genetic variants in PON1 towards cardiovascular risk under high polyphenols and anthocyanins consumption. PON1 variants could represent novel biomarkers to stratify individuals who might benefit from targeted dietary recommendation for health promotion and strategies of preventive medicine.

Dataset Information

Nutrigenetic Interaction Between Apolipoprotein C3 Polymorphism and Fat Intake in People with Nonalcoholic Fatty Liver Disease.

Background

Objectives

Methods

Results

Conclusions

Publications

Nutrigenetic Interaction Between Apolipoprotein C3 Polymorphism and Fat Intake in People with Nonalcoholic Fatty Liver Disease.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets