22
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The impact of MTHFR 677C → T risk knowledge on changes in folate intake: findings from the Food4Me study

      research-article
      1 , 1 , 1 , 1 , 2 , 3 , 3 , 4 , 5 , 6 , 5 , 8 , 9 , 9 , 9 , 10 , 10 , 11 , 12 , 13 , 14 , 8 , 9 , 5 , 6 , 7 , 4 , 3 , 2 , 1 , 1 , 1 ,
      Genes & Nutrition
      BioMed Central
      MTHFR, Methylenetetrahydrofolate reductase 677C → T genotype, Genetic risk knowledge, Folate, Personalised nutrition

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          It is hypothesised that individuals with knowledge of their genetic risk are more likely to make health-promoting dietary and lifestyle changes. The present study aims to test this hypothesis using data from the Food4Me study. This was a 6-month Internet-based randomised controlled trial conducted across seven centres in Europe where individuals received either general healthy eating advice or varying levels of personalised nutrition advice. Participants who received genotype-based personalised advice were informed whether they had the risk (CT/TT) ( n = 178) or non-risk (CC) ( n = 141) alleles of the methylenetetrahydrofolate reductase ( MTHFR) gene in relation to cardiovascular health and the importance of a sufficient intake of folate. General linear model analysis was used to assess changes in folate intake between the MTHFR risk, MTHFR non-risk and control groups from baseline to month 6 of the intervention.

          Results

          There were no differences between the groups for age, gender or BMI. However, there was a significant difference in country distribution between the groups ( p = 0.010). Baseline folate intakes were 412 ± 172, 391 ± 190 and 410 ± 186 μg per 10 MJ for the risk, non-risk and control groups, respectively. There were no significant differences between the three groups in terms of changes in folate intakes from baseline to month 6. Similarly, there were no changes in reported intake of food groups high in folate.

          Conclusions

          These results suggest that knowledge of MTHFR 677C → T genotype did not improve folate intake in participants with the risk variant compared with those with the non-risk variant.

          Trial registration

          ClinicalTrials.gov NCT01530139

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12263-016-0539-x) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references25

          • Record: found
          • Abstract: not found
          • Article: not found

          The path to personalized medicine.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Basal metabolic rate studies in humans: measurement and development of new equations.

            CJK Henry (2005)
            To facilitate the Food and Agriculture Organization/World Health Organization/United Nations University Joint (FAO/WHO/UNU) Expert Consultation on Energy and Protein Requirements which met in Rome in 1981, Schofield et al. reviewed the literature and produced predictive equations for both sexes for the following ages: 0-3, 3-10, 10-18, 18-30, 30-60 and >60 years. These formed the basis for the equations used in 1985 FAO/WHO/UNU document, Energy and Protein Requirements. While Schofield's analysis has served a significant role in re-establishing the importance of using basal metabolic rate (BMR) to predict human energy requirements, recent workers have subsequently queried the universal validity and application of these equations. A survey of the most recent studies (1980-2000) in BMR suggests that in most cases the current FAO/WHO/UNU predictive equations overestimate BMR in many communities. The FAO/WHO/UNU equations to predict BMR were developed using a database that contained a disproportionate number--3388 out of 7173 (47%)--of Italian subjects. The Schofield database contained relatively few subjects from the tropical region. The objective here is to review the historical development in the measurement and application of BMR and to critically review the Schofield et al. BMR database presenting a series of new equations to predict BMR. This division, while arbitrary, will enable readers who wish to omit the historical review of BMR to concentrate on the evolution of the new BMR equations. BMR data collected from published and measured values. A series of new equations (Oxford equations) have been developed using a data set of 10,552 BMR values that (1) excluded all the Italian subjects and (2) included a much larger number (4018) of people from the tropics. In general, the Oxford equations tend to produce lower BMR values than the current FAO/WHO/UNU equations in 18-30 and 30-60 year old males and in all females over 18 years of age. This is an opportune moment to re-examine the role and place of BMR measurements in estimating total energy requirements today. The Oxford equations' future use and application will surely depend on their ability to predict more accurately the BMR in contemporary populations.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found

              Effect modification by population dietary folate on the association between MTHFR genotype, homocysteine, and stroke risk: a meta-analysis of genetic studies and randomised trials

              Summary Background The MTHFR 677C→T polymorphism has been associated with raised homocysteine concentration and increased risk of stroke. A previous overview showed that the effects were greatest in regions with low dietary folate consumption, but differentiation between the effect of folate and small-study bias was difficult. A meta-analysis of randomised trials of homocysteine-lowering interventions showed no reduction in coronary heart disease events or stroke, but the trials were generally set in populations with high folate consumption. We aimed to reduce the effect of small-study bias and investigate whether folate status modifies the association between MTHFR 677C→T and stroke in a genetic analysis and meta-analysis of randomised controlled trials. Methods We established a collaboration of genetic studies consisting of 237 datasets including 59 995 individuals with data for homocysteine and 20 885 stroke events. We compared the genetic findings with a meta-analysis of 13 randomised trials of homocysteine-lowering treatments and stroke risk (45 549 individuals, 2314 stroke events, 269 transient ischaemic attacks). Findings The effect of the MTHFR 677C→T variant on homocysteine concentration was larger in low folate regions (Asia; difference between individuals with TT versus CC genotype, 3·12 μmol/L, 95% CI 2·23 to 4·01) than in areas with folate fortification (America, Australia, and New Zealand, high; 0·13 μmol/L, −0·85 to 1·11). The odds ratio (OR) for stroke was also higher in Asia (1·68, 95% CI 1·44 to 1·97) than in America, Australia, and New Zealand, high (1·03, 0·84 to 1·25). Most randomised trials took place in regions with high or increasing population folate concentrations. The summary relative risk (RR) of stroke in trials of homocysteine-lowering interventions (0·94, 95% CI 0·85 to 1·04) was similar to that predicted for the same extent of homocysteine reduction in large genetic studies in populations with similar folate status (predicted RR 1·00, 95% CI 0·90 to 1·11). Although the predicted effect of homocysteine reduction from large genetic studies in low folate regions (Asia) was larger (RR 0·78, 95% CI 0·68 to 0·90), no trial has evaluated the effect of lowering of homocysteine on stroke risk exclusively in a low folate region. Interpretation In regions with increasing levels or established policies of population folate supplementation, evidence from genetic studies and randomised trials is concordant in suggesting an absence of benefit from lowering of homocysteine for prevention of stroke. Further large-scale genetic studies of the association between MTHFR 677C→T and stroke in low folate settings are needed to distinguish effect modification by folate from small-study bias. If future randomised trials of homocysteine-lowering interventions for stroke prevention are undertaken, they should take place in regions with low folate consumption. Funding Full funding sources listed at end of paper (see Acknowledgments).
                Bookmark

                Author and article information

                Contributors
                (01) 716 2819 , eileen.gibney@ucd.ie
                Journal
                Genes Nutr
                Genes Nutr
                Genes & Nutrition
                BioMed Central (London )
                1555-8932
                1865-3499
                29 September 2016
                29 September 2016
                2016
                : 11
                : 25
                Affiliations
                [1 ]Institute of Food & Health, University College Dublin, Dublin 4, Ireland
                [2 ]Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle, NE4 5PL UK
                [3 ]Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Health, University of Reading, Reading, RG6 6AR UK
                [4 ]Department of Human Biology, NUTRIM, Maastricht University, Maastricht, The Netherlands
                [5 ]Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
                [6 ]CIBERobn, Fisiopatología de la Obesidad y Nutrición, INstituto de Salud Carlos III, Madrid, Spain
                [7 ]IDISNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
                [8 ]ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität München, Munich, Germany
                [9 ]Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
                [10 ]National Food & Nutrition Institute, Warsaw, Poland
                [11 ]TNO, Microbiology and Systems Biology Group, Zeist, The Netherlands
                [12 ]Eurogenetica Ltd, Salisbury Road, Burnham-on-Sea, TA8 1HX UK
                [13 ]Department of Human Nutrition, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland
                [14 ]Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
                Article
                539
                10.1186/s12263-016-0539-x
                5043523
                27708721
                3d874a8d-546d-4e06-8048-84bb40aace4d
                © The Author(s) 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 22 April 2016
                : 3 August 2016
                Funding
                Funded by: Seventh Framework Programme
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Nutrition & Dietetics
                mthfr,methylenetetrahydrofolate reductase 677c → t genotype,genetic risk knowledge,folate,personalised nutrition

                Comments

                Comment on this article