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ABSTRACT: SCOPE: Application of metabolomics to nutrition and health research is increasing and while much effort has been invested in understanding factors that influence the metabolomic profile there is relatively little known about the impact of fitness level. This study aimed to examine the relationship between fitness level, substrate oxidation rates, and the metabolic profile. METHODS AND RESULTS: Two hundred and fourteen healthy adults (18-60 years) were recruited and 65 subjects were selected based on their estimated maximal oxygen consumption levels. Metabolomic analysis was performed. The subjects were split into fitness groups according to their maximal oxygen consumption levels (mL/kg/min) and analysis revealed significant differences in normalized fat and carbohydrate oxidation levels between the groups. Urinary metabolomic analysis revealed significantly different profiles in the groups with 15 amino acids significantly higher in the low fitness groups. Effects of fitness level in the plasma metabolic profiles were also demonstrated. CONCLUSION: This study demonstrates a relationship between fitness level and the amino acid profile. Moreover, the metabolite changes show that a reduced excretion of amino acids in adults is associated with increased fitness levels and an increased fat oxidation rate during exercise. Interestingly, higher levels of branched chain amino acids were associated with lower fitness levels and higher insulin resistance.
Molecular Nutrition & Food Research 03/2013; · 4.30 Impact Factor
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ABSTRACT: PurposeThe purpose of this study was to identify the breads most commonly consumed by adults with type 2 diabetes (T2DM) and then examine the postprandial glycemic, insulinemic, and appetite responses that these breads elicit.Methods
One hundred people with T2DM were surveyed to identify the varieties of bread they most frequently consumed. According to a randomized crossover design, 11 fasting participants with T2DM consumed 50 g of available carbohydrate from 4 breads. Glucose and insulin concentrations and appetite ratings were determined over 270 minutes.ResultsThree commonly consumed varieties (white, whole wheat buttermilk, whole grain) identified in the survey-plus a lower-glycemic-index "control" bread (pumpernickel rye)-were tested in the second phase. Despite perceived differences between "brown" and "white" breads, the white, whole wheat buttermilk, and wholegrain breads promoted similar glycemic and insulinemic responses. Pumpernickel bread resulted in a significantly lower peak glucose (P < .01) than all other breads and a lower peak insulin (P < .001) than white or wholegrain bread. Similar appetite responses were found with all 4 breads.Conclusions
Adults with T2DM are choosing a variety of breads with perceived differential effects on glycemic, insulinemic, and appetite responses. Appreciable benefits, however, are not conferred by the commonly consumed breads. If breads known to promote favorable metabolic responses are unavailable, the primary emphasis in education should be placed on portion control. Conveying this information to patients is crucial if nutrition education is to achieve its aim of empowering individuals to manage their diabetes through their food choices.
The Diabetes Educator 03/2013; · 1.96 Impact Factor
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ABSTRACT: Although personalised nutrition is frequently considered in the context of diet-gene interactions, increasingly, personalised nutrition is seen to exist at three levels. The first is personalised dietary advice using Internet-delivered services, which ultimately will become automated and which will also draw on mobile phone technology. The second level of personalised dietary advice will include phenotypic information on anthropometry, physical activity, clinical parameters and biochemical markers of nutritional status. It remains possible that in addition to personalised dietary advice based on phenotypic data, advice at that group or metabotype level may be offered where metabotypes are defined by a common metabolic profile. The third level of personalised nutrition will involve the use of genomic data. While the genomic aspect of personalised nutrition is often considered as its main driver, there are significant challenges to translation of data on SNP and diet into personalised advice. The majority of the published data on SNP and diet emanate from observational studies and as such do not offer any cause-effect associations. To achieve this, purpose-designed dietary intervention studies will be needed with subjects recruited according to their genotype. Extensive research indicates that consumers would welcome personalised dietary advice including dietary advice based on their genotype. Unlike personalised medicine where genotype data are linked to the risk of developing a disease, in personalised nutrition the genetic data relate to the optimal diet for a given genotype to reduce disease risk factors and thus there are few ethical and legal issues in personalised nutrition.
Proceedings of The Nutrition Society 01/2013; · 2.77 Impact Factor
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ABSTRACT: BACKGROUND: The response to dietary fat plays a key role in metabolic health. Although this can vary widely between individuals, variation within an individual and the associated contribution of phenotypic and genotypic factors to this variation are less defined.Objectives: The objectives were to quantify within-person variation in triacylglycerol response by means of a novel variation score (S(v)) and to explore the phenotypic and genotypic factors associated with this score. DESIGN: Two consecutive 5-h oral-lipid-tolerance tests (OLTTs) were conducted in 51 healthy adults aged 18-60 y with a BMI (in kg/m(2)) of 18.5 to 49.8. Detailed body composition, physical function, biochemistry, and genotype data were gathered. RESULTS: The postprandial triacylglycerol response profile did not differ (P = 0.64) across OLTTs for the group nor did average concentrations of functional markers apolipoprotein C2 (P = 0.73) and apolipoprotein C3 (P = 0.74). S(v) was low in most (82%) of the adults and was significantly (P < 0.05) associated with age, fasting triacylglycerol, triacylglycerol AUC, and fasting nonessential fatty acids. Significant associations were also observed between S(v) and single nucleotide polymorphisms in 7 genes (APOA1, IL1α, IL1β, TLR4, TCF7L2, CCK1Rec, and STAT3) after correction for phenotypic differences. CONCLUSIONS: This work showed that the within-person variability in postprandial lipemic response is low in most healthy adults. It also showed that variability in this response is associated with a defined set of phenotypic and genotypic characteristics. This trial was registered at clinicaltrials.gov as NCT01172951.
American Journal of Clinical Nutrition 01/2013; · 6.67 Impact Factor
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ABSTRACT: Previous national nutrition surveys in Irish adults did not include blood samples; thus, representative serum 25-hydroxyvitamin D (25(OH)D) data are lacking. In the present study, we characterised serum 25(OH)D concentrations in Irish adults from the recent National Adult Nutrition Survey, and determined the impact of vitamin D supplement use and season on serum 25(OH)D concentrations. Of the total representative sample (n 1500, aged 18+ years), blood samples were available for 1132 adults. Serum 25(OH)D was measured via immunoassay. Vitamin D-containing supplement use was assessed by questionnaire and food diary. Concentrations of serum 25(OH)D were compared by season and in supplement users and non-users. Year-round prevalence rates for serum 25(OH)D concentration < 30, < 40, < 50 and < 75 nmol/l were 6·7, 21·9, 40·1 and 75·6 %, respectively (11·1, 31·1, 55·0 and 84·0 % in winter, respectively). Supplement users had significantly higher serum 25(OH)D concentrations compared to non-users. However, 7·5 % of users had winter serum 25(OH)D < 30 nmol/l. Only 1·3 % had serum 25(OH)D concentrations >125 nmol/l. These first nationally representative serum 25(OH)D data for Irish adults show that while only 6·7 % had serum 25(OH)D < 30 nmol/l (vitamin D deficiency) throughout the year, 40·1 % had levels considered by the Institute of Medicine as being inadequate for bone health. These prevalence estimates were much higher during winter time. While vitamin D supplement use has benefits in terms of vitamin D status, at present rates of usage (17·5 % of Irish adults), it will have only very limited impact at a population level. Food-based strategies, including fortified foods, need to be explored.
The British journal of nutrition 08/2012; · 3.45 Impact Factor
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ABSTRACT: The role of metabolomics in the field of nutrition is continuing to grow and it has the potential to assist in the understanding of metabolic regulation and explain how minor perturbations can have a multitude of biochemical endpoints. It is this development, which creates the potential to provide the knowledge necessary to facilitate a more targeted approach to nutrition. In recent years, there has been interest in applying metabolomics to examine alterations in the metabolic profile according to weight gain/obesity. Emerging from these studies is the strong evidence that alterations in the amino acid (AA) profiles are associated with obesity. Several other studies have also shown a relationship between branched-chain amino acids (BCAA), obesity and insulin resistance. The present review focuses on the proposed link between AA and in particular BCAA, obesity and insulin resistance. In conclusion, a wealth of information is accumulating to support the role of AA, and in particular of the BCAA, in obesity.
Proceedings of The Nutrition Society 08/2012; 71(4):634-8. · 2.77 Impact Factor
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Jean-Luc Volatier,
Anja Biltoft-Jensen,
Stefaan De Henauw, Michael J. Gibney,
Inge Huybrechts,
Sinéad N. McCarthy,
Jennifer L. O’Neill,
Caroline Quinio,
Aida Turrini,
Inge Tetens,
ILSI Europe a.i.s.b.l
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ABSTRACT: Nutrient profiles of foods are increasingly used as the scientific basis of nutritional labeling, health claims, or nutritional
education. Nutrient profiling schemes are based on sets of rules, scores, or thresholds applied to the nutritional composition
of foods. However, there is a lack of scientific validation of nutritional profiling schemes. To develop a reference method
using existing dietary surveys, to define a set of indicator foods that are positively or negatively associated with a “healthy
diet.” Such indicator foods can be used both for establishing relevant nutrient profiles and for the validation of existing
or future nutrient profiling schemes. The proposed validation method is based on food and nutrient intakes of adults participating
in national dietary surveys in five EU countries: Belgium (n=2,507), Denmark (n=3,151), France (n=1,474), Ireland (n=1,379), and Italy (n=1,513). The characterization of indicator foods is divided in two steps. First, “healthy diets” of individuals are identified
in the five national dietary surveys by comparison to the Eurodiet reference intakes. Second, indicator foods associated positively
or negatively to the “healthy diets” are determined. With a P-value of 10−3 for the test of comparison of food intakes between the “most healthy eaters” and the “less healthy eaters,” it was possible
to identify 294 indicator foods out of 1,669 foods tested in the five countries. In all the countries except Italy, there
were more indicator foods positively associated than indicator foods negatively associated with the “healthy diet.” The food
categories of these indicator foods were in good agreement with Food Based Dietary Guidelines like the USDA dietary guideline
for Americans. A new reference method for the validation of profiling schemes was developed based on dietary intake data from
using dietary surveys in five European countries. Only a minority of foods consumed in these dietary surveys could be used
as indicator foods of healthy or unhealthy diets in order to subsequently test nutritional profiling schemes. Further work
is needed to build a list of indicator foods that could be considered as a “gold standard.”
European Journal of Nutrition 04/2012; 46:29-36. · 2.75 Impact Factor
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ABSTRACT: Low vitamin D intake and status have been reported worldwide and many studies have suggested that this low status may be involved in the development of several chronic diseases. There are a limited number of natural dietary sources of vitamin D leading to a real need for alternatives to improve dietary intake. Enhancement of foods with vitamin D is a possible mode for ensuring increased consumption and thus improved vitamin D status. The present review examines studies investigating effects of vitamin D enhanced foods in humans and the feasibility of the approach is discussed.
Nutrients 12/2011; 3(12):1023-41. · 0.68 Impact Factor
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ABSTRACT: OBJECTIVE: Pattern analysis of adolescent diets may provide an important basis for nutritional health promotion. The aims of the present study were to examine and compare dietary patterns in adolescents using cluster analysis and principal component analysis (PCA) and to examine the impact of the format of the dietary variables on the solutions. DESIGN: Analysis was based on the Irish National Teens Food Survey, in which food intake data were collected using a semi-quantitative 7 d food diary. Thirty-two food groups were created and were expressed as either g/d or percentage contribution to total energy. Dietary patterns were identified using cluster analysis (k-means) and PCA. SETTING: Republic of Ireland, 2005-2006. SUBJECTS: A representative sample of 441 adolescents aged 13-17 years. RESULTS: Five clusters based on percentage contribution to total energy were identified, 'Healthy', 'Unhealthy', 'Rice/Pasta dishes', 'Sandwich' and 'Breakfast cereal & Main meal-type foods'. Four principal components based on g/d were identified which explained 28 % of total variance: 'Healthy foods', 'Traditional foods', 'Sandwich foods' and 'Unhealthy foods'. CONCLUSIONS: A 'Sandwich' and an 'Unhealthy' pattern are the main dietary patterns in this sample. Patterns derived from either cluster analysis or PCA were comparable, although it appears that cluster analysis also identifies dietary patterns not identified through PCA, such as a 'Breakfast cereal & Main meal-type foods' pattern. Consideration of the format of the dietary variable is important as it can directly impact on the patterns obtained for both cluster analysis and PCA.
Public Health Nutrition 10/2011; · 2.17 Impact Factor
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ABSTRACT: To investigate Irish consumers' use and understanding of and their belief in nutrition and health (NH) claims in the context of the European Union (EU) legislation (Regulation no. 1924/2006), which permits a number of NH claims on food products.
An interview-assisted questionnaire was administered to consumers (n 400). Preference for three types of NH claims across six products was tested. Perception of NH claims was assessed across a further eight food products. Claims were categorised as content, structure-function and disease-risk factor reduction claims.
Six supermarkets in the Republic of Ireland.
Four hundred adult Irish supermarket consumers.
Older (P < 0·001), female (P < 0·01) consumers were more likely to seek NH claims. Structure-function and content claims were preferred across six products. Consumers' perception was associated with the health benefit claimed rather than with the strength of the claim itself. Preference for claim type and claim perception differed with gender, age and educational level.
Irish consumers prefer content and simpler NH claims rather than more complex disease-risk factor reduction claims. The food industry may thus be better served using these types of claims. Although the reported levels of understanding were high, evidence of positivity bias and misinterpretation was found. Thus, with regard to Regulation 1924/2006, consumers need more information on both simpler and more complex claims. Public health messages should be targeted according to gender, age and educational level.
Public Health Nutrition 05/2011; 14(12):2213-9. · 2.17 Impact Factor
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ABSTRACT: Research reports suggest that vitamin D affects glucose and insulin metabolism; however, the exact mechanisms are unclear. ²H NMR analysis of monoacetone glucose (MAG) after tracer administration provides a non-invasive method of profiling hepatic glucose metabolism. This study examined the effects of supplementation with vitamin D₃ on contribution of glycogenolysis to glucose production.
Tracer administration and biofluid collections were performed with eight healthy females before and following a 4-wk vitamin D₃ administration period. Following an overnight fast subjects ingested deuterated water and acetaminophen. Full void urine samples were collected after 4 h. ²H NMR spectra of urinary monoacetone glucose were acquired to determine the contribution of glycogenolysis to glucose production. The mean contribution of glycogenolysis to glucose production was 60±13%. Supplementation with vitamin D₃ had no effect on hepatic glucose production. Regression analysis revealed a significant relationship between carbohydrate intake and the contribution of glycogenolysis (β=0.914, p=0.004).
In conclusion, we saw no changes in the percentage contribution of glycogenolysis following supplementation with vitamin D₃. The reproducibility of our results and the non-invasive nature of the method highlight the potential for this method in assessing mechanistic modes of action in future nutritional interventions.
Molecular Nutrition & Food Research 04/2011; 55(7):1018-25. · 4.30 Impact Factor
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ABSTRACT: It has been suggested that metabolomics could play a role in dietary assessment and identification of novel biomarkers of dietary intake.
This study examined the link between habitual dietary patterns and metabolomic profiles.
A total of 160 volunteers participated in a double-blind, randomized, placebo-controlled dietary intervention. We collected biofluids and recorded 3-d food diaries. Food data were reduced to 33 food groups, and a k-means cluster analysis was performed to identify dietary patterns. (1)H Nuclear magnetic resonance (NMR) spectra were acquired for plasma and urine samples, and gas chromatography was used for plasma fatty acid profiling.
Cluster analysis identified 3 distinct dietary patterns on the basis of the energy contribution of different food groups. Dietary clusters were reflected in plasma fatty acid profiles and in metabolomic data. (1)H NMR spectra of urine allowed the identification of metabolites associated with different dietary patterns. Several of the metabolites identified were linked to the intake of specific food groups; in particular, there was a positive association between O-acetylcarnitine and phenylacetylglutamine and red-meat and vegetable intakes, respectively.
Habitual dietary patterns are shown in metabolomic data. This approach successfully identified potential biomarkers of red-meat and vegetable intakes.
American Journal of Clinical Nutrition 02/2011; 93(2):314-21. · 6.67 Impact Factor
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Isabel Rubio-Aliaga,
Baukje de Roos,
Manuela Sailer,
Gerard A McLoughlin,
Mark V Boekschoten,
Marjan van Erk,
Eva-Maria Bachmair,
Evert M van Schothorst,
Jaap Keijer,
Susan L Coort,
Chris Evelo, Michael J Gibney,
Hannelore Daniel,
Michael Muller,
Robert Kleemann,
Lorraine Brennan
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ABSTRACT: Obesity frequently leads to insulin resistance and the development of hepatic steatosis. To characterize the molecular changes that promote hepatic steatosis, transcriptomics, proteomics, and metabolomics technologies were applied to liver samples from C57BL/6J mice obtained from two independent intervention trials. After 12 wk of high-fat feeding the animals became obese, hyperglycemic, and insulin resistant, had elevated levels of blood cholesterol and VLDL, and developed hepatic steatosis. Nutrigenomic analysis revealed alterations of key metabolites and enzyme transcript levels of hepatic one-carbon metabolism and related pathways. The hepatic oxidative capacity and the lipid milieu were significantly altered, which may play a key role in the development of insulin resistance. Additionally, high choline levels were observed after the high-fat diet. Previous studies have linked choline levels with insulin resistance and hepatic steatosis in conjunction with changes of certain metabolites and enzyme levels of one-carbon metabolism. The present results suggest that the coupling of high levels of choline and low levels of methionine plays an important role in the development of insulin resistance and liver steatosis. In conclusion, the complexities of the alterations induced by high-fat feeding are multifactorial, indicating that the interplay between several metabolic pathways is responsible for the pathological consequences.
Physiological Genomics 02/2011; 43(8):408-16. · 2.73 Impact Factor
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ABSTRACT: Metabolic phenotyping promises to be a useful tool in human intervention studies. This study examined whether metabolic phenotyping could identify responders to vitamin D supplementation in terms of the metabolic syndrome.
In a double-blind, randomised placebo-controlled dietary intervention subjects were assigned to receive 15 μg vitamin D(3) or placebo daily. Serum 25-hydroxyvitamin D (25(OH)D) and biochemical markers of the metabolic syndrome were measured at baseline and following the 4-wk intervention. k-means clustering and (1) H-NMR metabolomic analysis were used to explore responsive phenotypes. Vitamin D supplementation significantly increased serum 25(OH)D to an endpoint concentration of 78.1 ± 20.0 nmol/L (p<0.001). There was no effect of supplementation on the measured markers of the metabolic syndrome. k-means cluster analysis based on 13 biochemical markers of the metabolic syndrome and 25(OH)D concentrations revealed five discrete biomarker clusters. One of these clusters, characterised by lower serum 25(OH)D and higher levels of adipokines, showed significant responses in insulin (15% decrease), homestatic model assessment scores (19% decrease) and c-reactive protein (54% decrease). Metabolomic analysis revealed further changes and the extent of change in serum vitamin D correlated negatively with changes in glucose.
Overall, metabolic phenotyping revealed a phenotype that was responsive to vitamin D supplementation.
Molecular Nutrition & Food Research 01/2011; 55(5):679-90. · 4.30 Impact Factor
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Yolanda Jiménez-Gómez,
Carmen Marín,
Pablo Peérez-Martínez,
Jadwiga Hartwich,
Malgorzata Malczewska-Malec,
Iwona Golabek,
Beata Kiec-Wilk,
Cristina Cruz-Teno,
Fernando Rodríguez,
Purificación Gómez,
Maria J Gómez-Luna,
Catherine Defoort, Michael J Gibney,
Francisco Pérez-Jiménez,
Helen M Roche,
José López-Miranda
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ABSTRACT: Dietary fat intake plays a critical role in the development of metabolic syndrome (MetS). This study addressed the hypothesis that dietary fat quantity and quality may differentially modulate postprandial lipoprotein metabolism in MetS patients. A multi-center, parallel, randomized, controlled trial conducted within the LIPGENE study randomly assigned MetS patients to 1 of 4 diets: high-SFA [HSFA; 38% energy (E) from fat, 16% E as SFA], high-monounsaturated fatty acid [HMUFA; 38% E from fat, 20% E as MUFA], and 2 low-fat, high-complex carbohydrate [LFHCC; 28% E from fat] diets supplemented with 1.24 g/d of long-chain (LC) (n-3) PUFA (ratio 1.4 eicosapentaenoic acid:1 docosahexaenoic acid) or placebo (1.24 g/d of high-oleic sunflower-seed oil) for 12 wk each. A fat challenge with the same fat composition as the diets was conducted pre- and postintervention. Postprandial total cholesterol, triglycerides (TG), apolipoprotein (apo) B, apo B-48, apo A-I, LDL-cholesterol, HDL-cholesterol and cholesterol, TG, retinyl palmitate, and apo B in TG-rich lipoproteins (TRL; large and small) were determined pre- and postintervention. Postintervention, postprandial TG (P < 0.001) and large TRL-TG (P = 0.009) clearance began earlier and was faster in the HMUFA group compared with the HSFA and LFHCC groups. The LFHCC (n-3) group had a lower postprandial TG concentration (P < 0.001) than the other diet groups. Consuming the LFHCC diet increased the TG (P = 0.04), large TRL-TG (P = 0.01), TRL-cholesterol (P < 0.001), TRL-retinyl palmitate (P = 0.001), and TRL-apo B (P = 0.002) area under the curve compared with preintervention values. In contrast, long-term ingestion of the LFHCC (n-3) diet did not augment postprandial TG and TRL metabolism. In conclusion, postprandial abnormalities associated with MetS can be attenuated with LFHCC (n-3) and HMUFA diets. The adverse postprandial TG-raising effects of long-term LFHCC diets may be avoided by concomitant LC (n-3) PUFA supplementation to weight-stable MetS patients.
Journal of Nutrition 09/2010; 140(9):1595-601. · 3.92 Impact Factor
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Catherine M Phillips,
Louisa Goumidi,
Sandrine Bertrais,
Martyn R Field,
Jose M Ordovas,
L Adrienne Cupples,
Catherine Defoort,
Julie A Lovegrove,
Christian A Drevon,
Ellen E Blaak, Michael J Gibney,
Beata Kiec-Wilk,
Britta Karlstrom,
Jose Lopez-Miranda,
Ross McManus,
Serge Hercberg,
Denis Lairon,
Richard Planells,
Helen M Roche
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ABSTRACT: The leptin receptor (LEPR) is associated with insulin resistance, a key feature of metabolic syndrome (MetS). Gene-fatty acid interactions may affect MetS risk. The objective was to investigate the relationship among LEPR polymorphisms, insulin resistance, and MetS risk and whether plasma fatty acids, a biomarker of dietary fatty acids, modulate this. LEPR polymorphisms (rs10493380, rs1137100, rs1137101, rs12067936, rs1805096, rs2025805, rs3790419, rs3790433, rs6673324, and rs8179183), biochemical measurements, and plasma fatty acid profiles were determined in the LIPGENE-SU.VI.MAX study of MetS cases and matched controls (n = 1754). LEPR rs3790433 GG homozygotes had increased MetS risk compared with the minor A allele carriers [odds ratio (OR) = 1.65; 95% CI: 1.05-2.57; P = 0.028], which may be accounted for by their increased risk of elevated insulin concentrations (OR 2.40; 95% CI: 1.28-4.50; P = 0.006) and insulin resistance (OR = 2.15; 95% CI: 1.18-3.90; P = 0.012). Low (less than median) plasma (n-3) and high (n-6) PUFA status exacerbated the genetic risk conferred by GG homozygosity to hyperinsulinemia (OR 2.92-2.94) and insulin resistance (OR 3.40-3.47). Interestingly, these associations were abolished against a high (n-3) or low (n-6) PUFA background. Importantly, we replicated some of these findings in an independent cohort. Homozygosity for the LEPR rs3790433 G allele was associated with insulin resistance, which may predispose to increased MetS risk. Novel gene-nutrient interactions between LEPR rs3790433 and PUFA suggest that these genetic influences were more evident in individuals with low plasma (n-3) or high plasma (n-6) PUFA.
Journal of Nutrition 02/2010; 140(2):238-44. · 3.92 Impact Factor
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Catherine M Phillips,
Louisa Goumidi,
Sandrine Bertrais,
Martyn R Field,
L Adrienne Cupples,
Jose M Ordovas,
Catherine Defoort,
Julie A Lovegrove,
Christian A Drevon, Michael J Gibney,
Ellen E Blaak,
Beata Kiec-Wilk,
Britta Karlstrom,
Jose Lopez-Miranda,
Ross McManus,
Serge Hercberg,
Denis Lairon,
Richard Planells,
Helen M Roche
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ABSTRACT: Long-chain acyl CoA synthetase 1 (ACSL1) plays an important role in fatty acid metabolism and triacylglycerol (TAG) synthesis. Disturbance of these pathways may result in dyslipidemia and insulin resistance, hallmarks of the metabolic syndrome (MetS). Dietary fat is a key environmental factor that may interact with genetic determinants of lipid metabolism to affect MetS risk. We investigated the relationship between ACSL1 polymorphisms (rs4862417, rs6552828, rs13120078, rs9997745, and rs12503643) and MetS risk and determined potential interactions with dietary fat in the LIPGENE-SU.VI.MAX study of MetS cases and matched controls (n = 1,754). GG homozygotes for rs9997745 had increased MetS risk {odds ratio (OR) 1.90 [confidence interval (CI) 1.15, 3.13]; P = 0.01}, displayed elevated fasting glucose (P = 0.001) and insulin concentrations (P = 0.002) and increased insulin resistance (P = 0.03) relative to the A allele carriers. MetS risk was modulated by dietary fat, whereby the risk conferred by GG homozygosity was abolished among individuals consuming either a low-fat (<35% energy) or a high-PUFA diet (>5.5% energy). In conclusion, ACSL1 rs9997745 influences MetS risk, most likely via disturbances in fatty acid metabolism, which was modulated by dietary fat consumption, particularly PUFA intake, suggesting novel gene-nutrient interactions.
The Journal of Lipid Research 02/2010; 51(7):1793-800. · 5.56 Impact Factor
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ABSTRACT: At present, the analysis of dietary patterns is based on the intake of individual foods. This article demonstrates how a coding system at the meal level might be analyzed by using data mining techniques.
The objective was to evaluate the usability of supervised data mining methods to predict an aspect of dietary quality based on dietary intake with a food-based coding system and a novel meal-based coding system.
Food consumption databases from the North-South Ireland Food Consumption Survey 1997-1999 were used. This was a randomized cross-sectional study of 7-d recorded food and nutrient intakes of a representative sample of 1379 Irish adults. Meal definitions were recorded by the respondent. A healthy eating index (HEI) score was developed. Artificial neural networks (ANNs) and decision trees were used to predict quintiles of the HEI based on combinations of foods consumed at breakfast and main meals.
This study applied both data mining techniques to the food and meal-based coding systems. The ANN had a slightly higher accuracy than did the decision tree in relation to its ability to predict HEI quintiles 1 and 5 based on the food coding system (78.7% compared with 76.9% and 71.9% compared with 70.1%, respectively). However, the decision tree had higher accuracies than did the ANN on the basis of the meal coding system (67.5% compared with 54.6% and 75.1% compared with 72.4%, respectively).
ANNs and decision trees were successfully used to predict an aspect of dietary quality. However, further exploration of the use of ANNs and decision trees in dietary pattern analysis is warranted.
American Journal of Clinical Nutrition 01/2009; 88(6):1632-42. · 6.67 Impact Factor
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ABSTRACT: Recommendations limiting the intake of total fat, SFA, MUFA and PUFA have been established in several countries with the aim of reducing the risk of chronic diseases such as CVD. Studies have shown that intakes of total fat and SFA are above desired recommended intake levels across a wide range of age and sex groups. In addition, intakes of PUFA and MUFA are often reported to be less than the desired recommended intake levels. The aims of the present paper are to provide the first data on estimates of current intakes and main food sources of SFA, MUFA and PUFA in Irish children (aged 5-12 years), teenagers (aged 13-17 years) and adults (aged 18-64 years) and to analyse compliance with current dietary recommendations. Data for this analysis were based on the North/South Ireland Food Consumption Survey (n 1379, 18-64 years), the National Children's Food Survey (n 594, 5-12 years) and the National Teen Food Survey (n 441, 13-17 years). Results showed that SFA intakes in Irish children, teenagers and adults are high, with only 6 % of children, 11 % of teenagers and 21 % of adults in compliance with the recommended daily intake. The main food groups that contributed to SFA intakes were whole milk; fresh meat; meat products; biscuits, cakes, buns and pastries; and sugars, confectionery and preserves.
Public Health Nutrition 12/2008; 12(2):156-65. · 2.17 Impact Factor
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ABSTRACT: A WHO report on diet, nutrition and the prevention of chronic diseases recommended that frequency of consumption of foods and/or drinks containing free sugars should be limited to a maximum of four times per d. In addition, they recommended a reduction in the intake of free sugars to a maximum of no more than 10 % of energy intake. These recommendations were developed with the aim of reducing the prevalence of dental caries. The aim of the present study was to establish if there is a quantitative relationship between energy from added sugars and frequency of added sugars intakes in Irish children, teenagers and adults. In addition, the intake of added and total sugars and main contributors to added sugar intakes were examined. Data for the present analysis were based on the North/South Ireland Food Consumption Survey (n 1379; aged 18-64 years), the National Children's Food Survey (n 594; aged 5-12 years) and the National Teen Food Survey (n 441; aged 13-17 years) which used 7 d food diaries to collect food and beverage intake data in representative samples of Irish adults, children and teenagers respectively. Results showed that in adults, frequency of intake of added sugar intake of four times per d corresponded to a mean added sugar intake of 9 %, which was similar to the WHO recommendation. In children and teenagers, a frequency of intake of four times per d corresponded to a mean added sugar intake of 14.6 and 12.4 % respectively and was therefore not in agreement with the WHO recommendation.
British Journal Of Nutrition 06/2008; 99(5):1117-26. · 3.01 Impact Factor
