Metabolic diseases have been shown to be associated with low vitamin D status; however, the findings have been inconsistent. Hence, the objective of our study was to investigate the relationship between vitamin D status and metabolic disease-related traits in healthy Southeast Asian women and examine whether this relationship was modified by dietary factors using a nutrigenetic study. The study included 110 Minangkabau women (age: 25–60 years) from Padang, Indonesia. Genetic risk scores (GRS) were constructed based on five vitamin D-related single nucleotide polymorphisms (SNPs) (vitamin D-GRS) and ten metabolic disease-associated SNPs (metabolic-GRS). The metabolic-GRS was significantly associated with lower 25-hydroxyvitamin D (25(OH)D) concentrations (p = 0.009) and higher body mass index (BMI) (p = 0.016). Even though the vitamin D-GRS had no effect on metabolic traits (p > 0.12), an interaction was observed between the vitamin D-GRS and carbohydrate intake (g) on body fat percentage (BFP) (pinteraction = 0.049), where those individuals who consumed a high carbohydrate diet (mean ± SD: 319 g/d ± 46) and carried >2 vitamin D-lowering risk alleles had significantly higher BFP (p = 0.016). In summary, we have replicated the association of metabolic-GRS with higher BMI and lower 25(OH)D concentrations and identified a novel interaction between vitamin D-GRS and carbohydrate intake on body fat composition.

PurposeAdverse effects of maternal vitamin B12 deficiency have been linked to major clinical outcomes, including increased body mass index and gestational diabetes, however, less is known about vitamin B12 nutrition in non-pregnant women. Hence, the aim of the present study was to explore the relationships between metabolic traits and vitamin B12 status in a cohort of healthy Indonesian women and to investigate whether these relationships were modified by dietary intake using a genetic approach.MethodsA total of 117 Minangkabau women (aged 25–60 years), from the city of Padang, West Sumatra underwent anthropometric, biochemical, dietary intake analysis and genetic tests. Genetic risk scores (GRS) based on nine vitamin B12 associated single nucleotide polymorphisms (SNPs) (B12-GRS) and nine metabolic SNPs (metabolic-GRS) were constructed.ResultsThe B12-GRS and metabolic-GRS had no effect on vitamin B12 (P > 0.160) and metabolic traits (P > 0.085). However, an interaction was observed between the B12-GRS and dietary fibre intake (g) on glycated haemoglobin (HbA1C) levels (P interaction = 0.042), where among those who consumed a low fibre diet (4.90 ± 1.00 g/day), individuals carrying ≥9 risk alleles for vitamin B12 deficiency had significantly higher HbA1C levels (P = 0.025) compared to those carrying ≤8 risk alleles.ConclusionOur study showed a significant impact of the B12-GRS on HbA1C concentrations through the influence of a dietary factor, however, our study failed to provide evidence for an impact of metabolic-GRS on lowering B12 concentrations. Further replication studies utilizing larger sample sizes are needed to confirm our findings.Electronic supplementary materialThe online version of this article (10.1007/s40200-019-00424-z) contains supplementary material, which is available to authorized users.

Background Cardiometabolic diseases are complex traits which are influenced by several single nucleotide polymorphisms (SNPs). Thus, analysing the combined effects of multiple gene variants might provide a better understanding of disease risk than using a single gene variant approach. Furthermore, studies have found that the effect of SNPs on cardiometabolic traits can be influenced by lifestyle factors, highlighting the importance of analysing gene-lifestyle interactions. Aims In the present study, we investigated the association of 15 gene variants with cardiometabolic traits and examined whether these associations were modified by lifestyle factors such as dietary intake and physical activity. Methods The study included 110 Minangkabau women [aged 25–60 years and body mass index (BMI) 25.13 ± 4.2 kg/m2] from Padang, Indonesia. All participants underwent a physical examination followed by anthropometric, biochemical and dietary assessments and genetic tests. A genetic risk score (GRS) was developed based on 15 cardiometabolic disease-related SNPs. The effect of GRS on cardiometabolic traits was analysed using general linear models. GRS-lifestyle interactions on continuous outcomes were tested by including the interaction term (e.g. lifestyle factor*GRS) in the regression model. Models were adjusted for age, BMI and location (rural or urban), wherever appropriate. Results There was a significant association between GRS and BMI, where individuals carrying 6 or more risk alleles had higher BMI compared to those carrying 5 or less risk alleles (P = 0.018). Furthermore, there were significant interactions of GRS with protein intake on waist circumference (WC) and triglyceride concentrations (Pinteraction = 0.002 and 0.003, respectively). Among women who had a lower protein intake (13.51 ± 1.18% of the total daily energy intake), carriers of six or more risk alleles had significantly lower WC and triglyceride concentrations compared with carriers of five or less risk alleles (P = 0.0118 and 0.002, respectively). Conclusions Our study confirmed the association of GRS with higher BMI and further showed a significant effect of the GRS on WC and triglyceride levels through the influence of a low-protein diet. These findings suggest that following a lower protein diet, particularly in genetically predisposed individuals, might be an effective approach for addressing cardiometabolic diseases among Southeast Asian women.

Background: A hormonal contraception which considered ideal is depot medroxy progesteron acetat. There are large number of acceptors choose this contraception because this contraception is considered safe, effective, and can be used after labor. The possible side effect which can occur are increase of lipid profile, body fat percentage, and waist circumference. The purpose of this study is to see the differences between lipid profile, body fat percentage, and the waist circumference of women of childbearing age who use depot medroxy progesteron acetat injection compared with non-acceptors.Methods: This study was observational study with a cross sectional comparative approach and was conducted at the Regional Technical Services Unit (UPTD) at Regional Health Laboratory in West Sumatera Province from December 2017 until June 2018. The samples were 46 DMPA acceptors and 46 non-acceptors. The sampling method used random sampling technique. The measurements of lipid profile was conducted with colorimetric enzymatic method, which is GPO-PAP for triglycerides, and CHOD-PAP for total cholesterol, HDL and LDL. The percentage of body fat examination was conducted using Bioelectrical Impedance Analysis (BIA). The obtained data were analyzed by using t-test. Abnormal data were confirmed by Mann-whitney non-parametric test with p<0.05.Results: The results showed a significant difference between DMPA acceptors and non-acceptors (p<0.05). In total cholesterol (p = 0.000), LDL (p = 0.000), triglycerides (p = 0.000), body fat percentage (p = 0.007), body mass index (p = 0.004), and waist circumference (p = 0.001). But, in HDL there was no significant difference between DMPA acceptors and non-acceptors with p value = 0.302 (p>0.05). There were significant differences in total cholesterol, LDL, triglycerides, fat percentage, body mass index, and the circumference of waist in both DMPA acceptors and non acceptors. There were no significant difference in HDL levels between DMPA acceptors and non acceptors.Conclusions: There were significant differences in total cholesterol, LDL, triglycerides, fat percentage, body mass index, and waist circumference between DMPA acceptors and non-acceptors. There was no significant difference in HDL between DMPA acceptors and non-acceptors.