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Published in: Cardiovascular Diabetology 1/2016

Open Access 01-12-2016 | Original investigation

Associations between explorative dietary patterns and serum lipid levels and their interactions with ApoA5 and ApoE haplotype in patients with recently diagnosed type 2 diabetes

Authors: Katharina S. Weber, Birgit Knebel, Klaus Strassburger, Jörg Kotzka, Peter Stehle, Julia Szendroedi, Karsten Müssig, Anette E. Buyken, Michael Roden, for the GDS Group

Published in: Cardiovascular Diabetology | Issue 1/2016

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Abstract

Aims

In patients with type 2 diabetes (T2D), responsiveness of serum lipid concentrations to dietary patterns may vary by genotype. The aims of the present study were to identify explorative dietary patterns and to examine their independent associations with serum lipid levels and interactions with apolipoprotein (Apo)A5 and ApoE variants among patients recently diagnosed with T2D.

Methods

Within a cross-sectional analysis, participants of the German Diabetes Study (n = 348) with mean T2D duration of 6 months were investigated for fasting serum lipid levels, ApoA5 and ApoE genotypes; food consumption frequencies were assessed by a food propensity questionnaire. Dietary patterns were derived using principal component analysis (PCA) and reduced rank regression (RRR), which extracts patterns explaining variation in serum lipid concentrations.

Results

PCA yielded interpretable dietary patterns which were, however, not related to serum lipid levels. Relevance of the RRR patterns varied by genotype: a preferred consumption of fruit gum, fruit juice, and potato dumpling, whilst avoiding fruits and vegetables independently associated with higher triglyceride levels among ApoA5*2. Patients in the highest compared to the lowest tertile of pattern adherence had 99 % higher triglycerides. Lower consumption frequencies of butter, cream cake, French fries, or high-percentage alcoholic beverages were independently related to lower LDL-cholesterol among ApoE2 carriers, with those in the highest compared to the lowest tertile of pattern adherence having 40 % lower LDL-cholesterol (both Pinteraction < 0.05).

Conclusions

Our explorative data analyses suggest that associations of dietary patterns with triglycerides and LDL-cholesterol differ by ApoA5 and ApoE haplotype in recently diagnosed T2D.
Trial registration Clinicaltrials.gov: NCT01055093. Date of registration: January 22, 2010 (retrospectively registered). Date of enrolment of first participant to the trial: September 2005
Appendix
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Literature
1.
go back to reference American Diabetes Association. Cardiovascular disease and risk management. Diabetes Care. 2015;38(Suppl):S49–57.CrossRef American Diabetes Association. Cardiovascular disease and risk management. Diabetes Care. 2015;38(Suppl):S49–57.CrossRef
2.
go back to reference Eckel RH, Jakicic JM, Ard JD, de Jesus JM, Houston Miller N, Hubbard VS, Lee I-M, Lichtenstein AH, Loria CM, Millen BE, Nonas CA, Sacks FM, Smith SC, Svetkey LP, Wadden TA, Yanovski SZ, Kendall KA, Morgan LC, Trisolini MG, Velasco G, Wnek J, Anderson JL, Halperin JL, Albert NM, Bozkurt B, Brindis RG, Curtis LH, DeMets D, Hochman JS, Kovacs RJ, et al. 2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129(25 Suppl 2):S76–99.CrossRefPubMed Eckel RH, Jakicic JM, Ard JD, de Jesus JM, Houston Miller N, Hubbard VS, Lee I-M, Lichtenstein AH, Loria CM, Millen BE, Nonas CA, Sacks FM, Smith SC, Svetkey LP, Wadden TA, Yanovski SZ, Kendall KA, Morgan LC, Trisolini MG, Velasco G, Wnek J, Anderson JL, Halperin JL, Albert NM, Bozkurt B, Brindis RG, Curtis LH, DeMets D, Hochman JS, Kovacs RJ, et al. 2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129(25 Suppl 2):S76–99.CrossRefPubMed
3.
go back to reference Riboldi BP, Luft VC, de Castilhos CD, de Cardoso LO, Schmidt MI, Barreto SM, de Sander MF, Alvim SM, Duncan BB. Glucose and triglyceride excursions following a standardized meal in individuals with diabetes: ELSA-Brasil study. Cardiovasc Diabetol. 2015. doi:10.1186/s12933-015-0181-8.PubMedPubMedCentral Riboldi BP, Luft VC, de Castilhos CD, de Cardoso LO, Schmidt MI, Barreto SM, de Sander MF, Alvim SM, Duncan BB. Glucose and triglyceride excursions following a standardized meal in individuals with diabetes: ELSA-Brasil study. Cardiovasc Diabetol. 2015. doi:10.​1186/​s12933-015-0181-8.PubMedPubMedCentral
4.
go back to reference Curti MLR, Jacob P, Borges MC, Rogero MM, Ferreira SRG. Studies of gene variants related to inflammation, oxidative stress, dyslipidemia, and obesity: implications for a nutrigenetic approach. J Obes. 2011;2011:497401.CrossRefPubMedPubMedCentral Curti MLR, Jacob P, Borges MC, Rogero MM, Ferreira SRG. Studies of gene variants related to inflammation, oxidative stress, dyslipidemia, and obesity: implications for a nutrigenetic approach. J Obes. 2011;2011:497401.CrossRefPubMedPubMedCentral
5.
go back to reference Tamasawa N, Murakami H, Yamato K, Matsui J, Tanabe J, Suda T. Influence of apolipoprotein E genotype on the response to caloric restriction in type 2 diabetic patients with hyperlipidaemia. Diabetes Obes Metab. 2003;5:345–8.CrossRefPubMed Tamasawa N, Murakami H, Yamato K, Matsui J, Tanabe J, Suda T. Influence of apolipoprotein E genotype on the response to caloric restriction in type 2 diabetic patients with hyperlipidaemia. Diabetes Obes Metab. 2003;5:345–8.CrossRefPubMed
6.
go back to reference Mahley RW. Apolipoprotein E: cholesterol transport protein with expanding role in cell biology. Science. 1988;240:622–30.CrossRefPubMed Mahley RW. Apolipoprotein E: cholesterol transport protein with expanding role in cell biology. Science. 1988;240:622–30.CrossRefPubMed
7.
go back to reference Pennacchio LA, Olivier M, Hubacek JA, Krauss RM, Rubin EM, Cohen JC. Two independent apolipoprotein A5 haplotypes influence human plasma triglyceride levels. Hum Mol Genet. 2002;11:3031–8.CrossRefPubMed Pennacchio LA, Olivier M, Hubacek JA, Krauss RM, Rubin EM, Cohen JC. Two independent apolipoprotein A5 haplotypes influence human plasma triglyceride levels. Hum Mol Genet. 2002;11:3031–8.CrossRefPubMed
8.
go back to reference Bennet AM, Di Angelantonio E, Ye Z, Wensley F, Dahlin A, Ahlbom A, Keavney B, Collins R, Wiman B, de Faire U, Danesh J. Association of apolipoprotein E genotypes with lipid levels and coronary risk. JAMA. 2007;298:1300–11.CrossRefPubMed Bennet AM, Di Angelantonio E, Ye Z, Wensley F, Dahlin A, Ahlbom A, Keavney B, Collins R, Wiman B, de Faire U, Danesh J. Association of apolipoprotein E genotypes with lipid levels and coronary risk. JAMA. 2007;298:1300–11.CrossRefPubMed
9.
go back to reference Adams JN, Raffield LM, Freedman BI, Langefeld CD, Ng MCY, Carr JJ, Cox AJ, Bowden DW. Analysis of common and coding variants with cardiovascular disease in the Diabetes Heart Study. Cardiovasc Diabetol. 2014;13:77.CrossRefPubMedPubMedCentral Adams JN, Raffield LM, Freedman BI, Langefeld CD, Ng MCY, Carr JJ, Cox AJ, Bowden DW. Analysis of common and coding variants with cardiovascular disease in the Diabetes Heart Study. Cardiovasc Diabetol. 2014;13:77.CrossRefPubMedPubMedCentral
10.
go back to reference Rubin J, Berglund L. Apolipoprotein E and diets: a case of gene-nutrient interaction? Curr Opin Lipidol. 2002;13:25–32.CrossRefPubMed Rubin J, Berglund L. Apolipoprotein E and diets: a case of gene-nutrient interaction? Curr Opin Lipidol. 2002;13:25–32.CrossRefPubMed
11.
go back to reference Masson LF, McNeill G, Avenell A. Genetic variation and the lipid response to dietary intervention: a systematic review. Am J Clin Nutr. 2003;77:1098–111.PubMed Masson LF, McNeill G, Avenell A. Genetic variation and the lipid response to dietary intervention: a systematic review. Am J Clin Nutr. 2003;77:1098–111.PubMed
12.
go back to reference Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13:3–9.CrossRefPubMed Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13:3–9.CrossRefPubMed
13.
go back to reference Hoffmann K, Schulze MB, Schienkiewitz A, Nöthlings U, Boeing H. Application of a new statistical method to derive dietary patterns in nutritional epidemiology. Am J Epidemiol. 2004;159:935–44.CrossRefPubMed Hoffmann K, Schulze MB, Schienkiewitz A, Nöthlings U, Boeing H. Application of a new statistical method to derive dietary patterns in nutritional epidemiology. Am J Epidemiol. 2004;159:935–44.CrossRefPubMed
14.
go back to reference Szendroedi J, Saxena A, Weber KS, Strassburger K, Herder C, Burkart V, Nowotny B, Icks A, Kuss O, Ziegler D, Al-Hasani H, Müssig K, Roden M, GDS Group. Cohort profile: the German Diabetes Study (GDS). Cardiovasc Diabetol. 2016;15:59.CrossRefPubMedPubMedCentral Szendroedi J, Saxena A, Weber KS, Strassburger K, Herder C, Burkart V, Nowotny B, Icks A, Kuss O, Ziegler D, Al-Hasani H, Müssig K, Roden M, GDS Group. Cohort profile: the German Diabetes Study (GDS). Cardiovasc Diabetol. 2016;15:59.CrossRefPubMedPubMedCentral
15.
go back to reference Weber KS, Nowotny B, Strassburger K, Pacini G, Müssig K, Szendroedi J, Herder C, Roden M, GDS Group. The role of markers of low-grade inflammation for the early time course of glycemic control, glucose disappearance rate, and β-cell function in recently diagnosed type 1 and type 2 diabetes. Diabetes Care. 2015;38:1758–67.CrossRefPubMed Weber KS, Nowotny B, Strassburger K, Pacini G, Müssig K, Szendroedi J, Herder C, Roden M, GDS Group. The role of markers of low-grade inflammation for the early time course of glycemic control, glucose disappearance rate, and β-cell function in recently diagnosed type 1 and type 2 diabetes. Diabetes Care. 2015;38:1758–67.CrossRefPubMed
16.
go back to reference Toeller M, Frisch A, Müller-Wieland D. [Fragebogen zur Erfassung der Nahrungsaufnahme in Risikogruppen (NARI)] Questionnaire to Assess Nutritional Intake in Risk Groups. Diabetol Stoffwechs. 2010;5:309–14.CrossRef Toeller M, Frisch A, Müller-Wieland D. [Fragebogen zur Erfassung der Nahrungsaufnahme in Risikogruppen (NARI)] Questionnaire to Assess Nutritional Intake in Risk Groups. Diabetol Stoffwechs. 2010;5:309–14.CrossRef
17.
go back to reference Weber KS, Buyken AE, Nowotny B, Strassburger K, Simon M-C, Pacini G, Szendroedi J, Müssig K, Roden M. The impact of dietary factors on glycemic control, insulin sensitivity and secretion in the first years after diagnosis of diabetes. ECED. 2016. doi:10.1055/s-0035-1569354. Weber KS, Buyken AE, Nowotny B, Strassburger K, Simon M-C, Pacini G, Szendroedi J, Müssig K, Roden M. The impact of dietary factors on glycemic control, insulin sensitivity and secretion in the first years after diagnosis of diabetes. ECED. 2016. doi:10.​1055/​s-0035-1569354.
18.
go back to reference Schulze MB, Hoffmann K, Kroke A, Boeing H. Dietary patterns and their association with food and nutrient intake in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study. Br J Nutr. 2001;85:363–73.CrossRefPubMed Schulze MB, Hoffmann K, Kroke A, Boeing H. Dietary patterns and their association with food and nutrient intake in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study. Br J Nutr. 2001;85:363–73.CrossRefPubMed
19.
go back to reference Schulze MB, Hoffmann K, Kroke A, Boeing H. An approach to construct simplified measures of dietary patterns from exploratory factor analysis. Br J Nutr. 2003;89:409–19.CrossRefPubMed Schulze MB, Hoffmann K, Kroke A, Boeing H. An approach to construct simplified measures of dietary patterns from exploratory factor analysis. Br J Nutr. 2003;89:409–19.CrossRefPubMed
20.
go back to reference Diethelm K, Günther ALB, Schulze MB, Standl M, Heinrich J, Buyken AE. Prospective relevance of dietary patterns at the beginning and during the course of primary school to the development of body composition. Br J Nutr. 2014;111:1488–98.CrossRefPubMed Diethelm K, Günther ALB, Schulze MB, Standl M, Heinrich J, Buyken AE. Prospective relevance of dietary patterns at the beginning and during the course of primary school to the development of body composition. Br J Nutr. 2014;111:1488–98.CrossRefPubMed
21.
go back to reference Lai C-Q, Demissie S, Cupples LA, Zhu Y, Adiconis X, Parnell LD, Corella D, Ordovas JM. Influence of the APOA5 locus on plasma triglyceride, lipoprotein subclasses, and CVD risk in the Framingham Heart Study. J Lipid Res. 2004;45:2096–105.CrossRefPubMed Lai C-Q, Demissie S, Cupples LA, Zhu Y, Adiconis X, Parnell LD, Corella D, Ordovas JM. Influence of the APOA5 locus on plasma triglyceride, lipoprotein subclasses, and CVD risk in the Framingham Heart Study. J Lipid Res. 2004;45:2096–105.CrossRefPubMed
22.
go back to reference Wu K, Bowman R, Welch AA, Luben RN, Wareham N, Khaw K-T, Bingham SA. Apolipoprotein E polymorphisms, dietary fat and fibre, and serum lipids: the EPIC Norfolk study. Eur Heart J. 2007;28:2930–6.CrossRefPubMed Wu K, Bowman R, Welch AA, Luben RN, Wareham N, Khaw K-T, Bingham SA. Apolipoprotein E polymorphisms, dietary fat and fibre, and serum lipids: the EPIC Norfolk study. Eur Heart J. 2007;28:2930–6.CrossRefPubMed
23.
go back to reference Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412–9.CrossRefPubMed Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412–9.CrossRefPubMed
26.
go back to reference Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hoboken: Routledge; 1988. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hoboken: Routledge; 1988.
27.
go back to reference Centritto F, Iacoviello L, di Giuseppe R, De Curtis A, Costanzo S, Zito F, Grioni S, Sieri S, Donati MB, de Gaetano G, Di Castelnuovo A, Moli-sani Investigators. Dietary patterns, cardiovascular risk factors and C-reactive protein in a healthy Italian population. Nutr Metab Cardiovasc Dis. 2009;19:697–706.CrossRefPubMed Centritto F, Iacoviello L, di Giuseppe R, De Curtis A, Costanzo S, Zito F, Grioni S, Sieri S, Donati MB, de Gaetano G, Di Castelnuovo A, Moli-sani Investigators. Dietary patterns, cardiovascular risk factors and C-reactive protein in a healthy Italian population. Nutr Metab Cardiovasc Dis. 2009;19:697–706.CrossRefPubMed
28.
go back to reference Barbaresko J, Siegert S, Koch M, Aits I, Lieb W, Nikolaus S, Laudes M, Jacobs G, Nöthlings U. Comparison of two exploratory dietary patterns in association with the metabolic syndrome in a Northern German population. Br J Nutr. 2014;112:1364–72.CrossRefPubMed Barbaresko J, Siegert S, Koch M, Aits I, Lieb W, Nikolaus S, Laudes M, Jacobs G, Nöthlings U. Comparison of two exploratory dietary patterns in association with the metabolic syndrome in a Northern German population. Br J Nutr. 2014;112:1364–72.CrossRefPubMed
29.
go back to reference Dekker LH, van Dam RM, Snijder MB, Peters RJG, Dekker JM, de Vries JHM, de Boer EJ, Schulze MB, Stronks K, Nicolaou M. Comparable dietary patterns describe dietary behavior across ethnic groups in the Netherlands, but different elements in the diet are associated with glycated hemoglobin and fasting glucose concentrations. J Nutr. 2015;145:1884–91.CrossRefPubMed Dekker LH, van Dam RM, Snijder MB, Peters RJG, Dekker JM, de Vries JHM, de Boer EJ, Schulze MB, Stronks K, Nicolaou M. Comparable dietary patterns describe dietary behavior across ethnic groups in the Netherlands, but different elements in the diet are associated with glycated hemoglobin and fasting glucose concentrations. J Nutr. 2015;145:1884–91.CrossRefPubMed
30.
go back to reference Fung TT, Rimm EB, Spiegelman D, Rifai N, Tofler GH, Willett WC, Hu FB. Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk. Am J Clin Nutr. 2001;73:61–7.PubMed Fung TT, Rimm EB, Spiegelman D, Rifai N, Tofler GH, Willett WC, Hu FB. Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk. Am J Clin Nutr. 2001;73:61–7.PubMed
31.
go back to reference Hoffmann K, Zyriax B-C, Boeing H, Windler E. A dietary pattern derived to explain biomarker variation is strongly associated with the risk of coronary artery disease. Am J Clin Nutr. 2004;80:633–40.PubMed Hoffmann K, Zyriax B-C, Boeing H, Windler E. A dietary pattern derived to explain biomarker variation is strongly associated with the risk of coronary artery disease. Am J Clin Nutr. 2004;80:633–40.PubMed
32.
go back to reference Biesbroek S, van der ADL, Brosens MCC, Beulens JWJ, Verschuren WMM, van der Schouw YT, Boer JMA. Identifying cardiovascular risk factor-related dietary patterns with reduced rank regression and random forest in the EPIC-NL cohort. Am J Clin Nutr. 2015;102:146–54.CrossRefPubMed Biesbroek S, van der ADL, Brosens MCC, Beulens JWJ, Verschuren WMM, van der Schouw YT, Boer JMA. Identifying cardiovascular risk factor-related dietary patterns with reduced rank regression and random forest in the EPIC-NL cohort. Am J Clin Nutr. 2015;102:146–54.CrossRefPubMed
33.
go back to reference McNaughton SA, Mishra GD, Brunner EJ. Food patterns associated with blood lipids are predictive of coronary heart disease: the Whitehall II study. Br J Nutr. 2009;102:619–24.CrossRefPubMedPubMedCentral McNaughton SA, Mishra GD, Brunner EJ. Food patterns associated with blood lipids are predictive of coronary heart disease: the Whitehall II study. Br J Nutr. 2009;102:619–24.CrossRefPubMedPubMedCentral
34.
go back to reference Meyer J, Döring A, Herder C, Roden M, Koenig W, Thorand B. Dietary patterns, subclinical inflammation, incident coronary heart disease and mortality in middle-aged men from the MONICA/KORA Augsburg cohort study. Eur J Clin Nutr. 2011;65:800–7.CrossRefPubMed Meyer J, Döring A, Herder C, Roden M, Koenig W, Thorand B. Dietary patterns, subclinical inflammation, incident coronary heart disease and mortality in middle-aged men from the MONICA/KORA Augsburg cohort study. Eur J Clin Nutr. 2011;65:800–7.CrossRefPubMed
35.
go back to reference Wyness L. The role of red meat in the diet: nutrition and health benefits. Proc Nutr Soc. 2016;75:227–32.CrossRefPubMed Wyness L. The role of red meat in the diet: nutrition and health benefits. Proc Nutr Soc. 2016;75:227–32.CrossRefPubMed
36.
go back to reference Micha R, Michas G, Mozaffarian D. Unprocessed red and processed meats and risk of coronary artery disease and type 2 diabetes—an updated review of the evidence. Curr Atheroscler Rep. 2012;14:515–24.CrossRefPubMedPubMedCentral Micha R, Michas G, Mozaffarian D. Unprocessed red and processed meats and risk of coronary artery disease and type 2 diabetes—an updated review of the evidence. Curr Atheroscler Rep. 2012;14:515–24.CrossRefPubMedPubMedCentral
37.
go back to reference Micha R, Wallace SK, Mozaffarian D. Red and processed meat consumption and risk of incident coronary heart disease, stroke, and diabetes mellitus: a systematic review and meta-analysis. Circulation. 2010;121:2271–83.CrossRefPubMedPubMedCentral Micha R, Wallace SK, Mozaffarian D. Red and processed meat consumption and risk of incident coronary heart disease, stroke, and diabetes mellitus: a systematic review and meta-analysis. Circulation. 2010;121:2271–83.CrossRefPubMedPubMedCentral
38.
go back to reference Kappeler R, Eichholzer M, Rohrmann S. Meat consumption and diet quality and mortality in NHANES III. Eur J Clin Nutr. 2013;67:598–606.CrossRefPubMed Kappeler R, Eichholzer M, Rohrmann S. Meat consumption and diet quality and mortality in NHANES III. Eur J Clin Nutr. 2013;67:598–606.CrossRefPubMed
39.
go back to reference van Dam RM, Grievink L, Ocké MC, Feskens EJM. Patterns of food consumption and risk factors for cardiovascular disease in the general Dutch population. Am J Clin Nutr. 2003;77:1156–63.PubMed van Dam RM, Grievink L, Ocké MC, Feskens EJM. Patterns of food consumption and risk factors for cardiovascular disease in the general Dutch population. Am J Clin Nutr. 2003;77:1156–63.PubMed
40.
go back to reference Newby PK, Muller D, Tucker KL. Associations of empirically derived eating patterns with plasma lipid biomarkers: a comparison of factor and cluster analysis methods. Am J Clin Nutr. 2004;80:759–67.PubMed Newby PK, Muller D, Tucker KL. Associations of empirically derived eating patterns with plasma lipid biomarkers: a comparison of factor and cluster analysis methods. Am J Clin Nutr. 2004;80:759–67.PubMed
41.
go back to reference Pennacchio LA, Rubin EM. Apolipoprotein A5, a newly identified gene that affects plasma triglyceride levels in humans and mice. Arterioscler Thromb Vasc Biol. 2003;23:529–34.CrossRefPubMed Pennacchio LA, Rubin EM. Apolipoprotein A5, a newly identified gene that affects plasma triglyceride levels in humans and mice. Arterioscler Thromb Vasc Biol. 2003;23:529–34.CrossRefPubMed
42.
go back to reference Kang R, Kim M, Chae JS, Lee S-H, Lee JH. Consumption of whole grains and legumes modulates the genetic effect of the APOA5 −1131C variant on changes in triglyceride and apolipoprotein A-V concentrations in patients with impaired fasting glucose or newly diagnosed type 2 diabetes. Trials. 2014;15:100.CrossRefPubMedPubMedCentral Kang R, Kim M, Chae JS, Lee S-H, Lee JH. Consumption of whole grains and legumes modulates the genetic effect of the APOA5 −1131C variant on changes in triglyceride and apolipoprotein A-V concentrations in patients with impaired fasting glucose or newly diagnosed type 2 diabetes. Trials. 2014;15:100.CrossRefPubMedPubMedCentral
43.
go back to reference Domínguez-Reyes T, Astudillo-López CC, Salgado-Goytia L, Muñoz-Valle JF, Salgado-Bernabé AB, Guzmán-Guzmán IP, Castro-Alarcón N, Moreno-Godínez ME, Parra-Rojas I. Interaction of dietary fat intake with APOA2, APOA5 and LEPR polymorphisms and its relationship with obesity and dyslipidemia in young subjects. Lipids Health Dis. 2015;14:106.CrossRefPubMedPubMedCentral Domínguez-Reyes T, Astudillo-López CC, Salgado-Goytia L, Muñoz-Valle JF, Salgado-Bernabé AB, Guzmán-Guzmán IP, Castro-Alarcón N, Moreno-Godínez ME, Parra-Rojas I. Interaction of dietary fat intake with APOA2, APOA5 and LEPR polymorphisms and its relationship with obesity and dyslipidemia in young subjects. Lipids Health Dis. 2015;14:106.CrossRefPubMedPubMedCentral
44.
go back to reference Kim JY, Kim OY, Koh SJ, Jang Y, Yun S-S, Ordovas JM, Lee JH. Comparison of low-fat meal and high-fat meal on postprandial lipemic response in non-obese men according to the −1131T > C polymorphism of the apolipoprotein A5 (APOA5) gene (randomized cross-over design). J Am Coll Nutr. 2006;25:340–7.CrossRefPubMed Kim JY, Kim OY, Koh SJ, Jang Y, Yun S-S, Ordovas JM, Lee JH. Comparison of low-fat meal and high-fat meal on postprandial lipemic response in non-obese men according to the −1131T > C polymorphism of the apolipoprotein A5 (APOA5) gene (randomized cross-over design). J Am Coll Nutr. 2006;25:340–7.CrossRefPubMed
45.
go back to reference Moreno JA, Pérez-Jiménez F, Marín C, Gómez P, Pérez-Martínez P, Moreno R, Bellido C, Fuentes F, López-Miranda J. The effect of dietary fat on LDL size is influenced by apolipoprotein E genotype in healthy subjects. J Nutr. 2004;134:2517–22.PubMed Moreno JA, Pérez-Jiménez F, Marín C, Gómez P, Pérez-Martínez P, Moreno R, Bellido C, Fuentes F, López-Miranda J. The effect of dietary fat on LDL size is influenced by apolipoprotein E genotype in healthy subjects. J Nutr. 2004;134:2517–22.PubMed
46.
go back to reference Lai C-Q, Corella D, Demissie S, Cupples LA, Adiconis X, Zhu Y, Parnell LD, Tucker KL, Ordovas JM. Dietary intake of n-6 fatty acids modulates effect of apolipoprotein A5 gene on plasma fasting triglycerides, remnant lipoprotein concentrations, and lipoprotein particle size: the Framingham Heart Study. Circulation. 2006;113:2062–70.CrossRefPubMed Lai C-Q, Corella D, Demissie S, Cupples LA, Adiconis X, Zhu Y, Parnell LD, Tucker KL, Ordovas JM. Dietary intake of n-6 fatty acids modulates effect of apolipoprotein A5 gene on plasma fasting triglycerides, remnant lipoprotein concentrations, and lipoprotein particle size: the Framingham Heart Study. Circulation. 2006;113:2062–70.CrossRefPubMed
47.
go back to reference Garelnabi M, Lor K, Jin J, Chai F, Santanam N. The paradox of ApoA5 modulation of triglycerides: evidence from clinical and basic research. Clin Biochem. 2013;46:12–9.CrossRefPubMed Garelnabi M, Lor K, Jin J, Chai F, Santanam N. The paradox of ApoA5 modulation of triglycerides: evidence from clinical and basic research. Clin Biochem. 2013;46:12–9.CrossRefPubMed
48.
go back to reference Minihane AM, Jofre-Monseny L, Olano-Martin E, Rimbach G. ApoE genotype, cardiovascular risk and responsiveness to dietary fat manipulation. Proc Nutr Soc. 2007;66:183–97.CrossRefPubMed Minihane AM, Jofre-Monseny L, Olano-Martin E, Rimbach G. ApoE genotype, cardiovascular risk and responsiveness to dietary fat manipulation. Proc Nutr Soc. 2007;66:183–97.CrossRefPubMed
49.
go back to reference Michels KB, Schulze MB. Can dietary patterns help us detect diet-disease associations? Nutr Res Rev. 2005;18:241–8.CrossRefPubMed Michels KB, Schulze MB. Can dietary patterns help us detect diet-disease associations? Nutr Res Rev. 2005;18:241–8.CrossRefPubMed
50.
go back to reference Freedman LS, Commins JM, Moler JE, Arab L, Baer DJ, Kipnis V, Midthune D, Moshfegh AJ, Neuhouser ML, Prentice RL, Schatzkin A, Spiegelman D, Subar AF, Tinker LF, Willett W. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. Am J Epidemiol. 2014;180:172–88.CrossRefPubMedPubMedCentral Freedman LS, Commins JM, Moler JE, Arab L, Baer DJ, Kipnis V, Midthune D, Moshfegh AJ, Neuhouser ML, Prentice RL, Schatzkin A, Spiegelman D, Subar AF, Tinker LF, Willett W. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. Am J Epidemiol. 2014;180:172–88.CrossRefPubMedPubMedCentral
51.
go back to reference Thompson FE, Subar AF. Dietary Assessment Methodology. In Nutrition in the Prevention and Treatment of Disease. 3rd edition. London, UK: Elsevier; 2013:5–46. Thompson FE, Subar AF. Dietary Assessment Methodology. In Nutrition in the Prevention and Treatment of Disease. 3rd edition. London, UK: Elsevier; 2013:5–46.
52.
go back to reference Noethlings U, Hoffmann K, Bergmann MM, Boeing H, European Investigation into Cancer and Nutrition. Portion size adds limited information on variance in food intake of participants in the EPIC-Potsdam study. J Nutr. 2003;133:510–5.PubMed Noethlings U, Hoffmann K, Bergmann MM, Boeing H, European Investigation into Cancer and Nutrition. Portion size adds limited information on variance in food intake of participants in the EPIC-Potsdam study. J Nutr. 2003;133:510–5.PubMed
Metadata
Title
Associations between explorative dietary patterns and serum lipid levels and their interactions with ApoA5 and ApoE haplotype in patients with recently diagnosed type 2 diabetes
Authors
Katharina S. Weber
Birgit Knebel
Klaus Strassburger
Jörg Kotzka
Peter Stehle
Julia Szendroedi
Karsten Müssig
Anette E. Buyken
Michael Roden
for the GDS Group
Publication date
01-12-2016
Publisher
BioMed Central
Published in
Cardiovascular Diabetology / Issue 1/2016
Electronic ISSN: 1475-2840
DOI
https://doi.org/10.1186/s12933-016-0455-9

Other articles of this Issue 1/2016

Cardiovascular Diabetology 1/2016 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.