BACKGROUND: The apolipoprotein A5 gene (APOA5) is a major gene that regulates lipid metabolism and is modulated by dietary factors. A novel variant rs964184 in APOA5 was identified to be associated with lipids in genome-wide association studies. OBJECTIVE: We examined whether this variant modified changes in lipid concentrations in response to a 2-y weight-loss diet intervention in a randomized trial. DESIGN: The current analyses were secondary analyses of a data set from the Pounds Lost Trial. We genotyped APOA5 rs964184 in 734 overweight or obese adults who were randomly assigned to one of 4 diets that differed in percentages of energy derived from fat, protein, and carbohydrate for 2 y. We evaluated changes in fasting serum concentrations of total cholesterol (TC), LDL cholesterol, HDL cholesterol, and triglyceride from baseline to 2 y of follow-up. RESULTS: After a 2-y dietary intervention, we showed significant interactions between the APOA5 rs964184 polymorphism and dietary fat intake (low compared with high) in the determination of changes in TC, LDL cholesterol, and HDL cholesterol (P-interaction = 0.007, 0.017, and 0.006, respectively). In the low-fat intake group (20% of energy derived from fat), carriers of the risk allele (G allele) exhibited greater reductions in TC and LDL cholesterol than did noncarriers (P = 0.036 and 0.039, respectively), whereas in the high-fat diet group (40% of energy derived from fat), participants with the G allele had a greater increase in HDL cholesterol than did participants without this allele (P = 0.038). CONCLUSION: Our data showed better improvement in lipid profiles from long-term low-fat diet intake in the APOA5 rs964184 risk allele.
RCT Entities:
BACKGROUND: The apolipoprotein A5 gene (APOA5) is a major gene that regulates lipid metabolism and is modulated by dietary factors. A novel variant rs964184 in APOA5 was identified to be associated with lipids in genome-wide association studies. OBJECTIVE: We examined whether this variant modified changes in lipid concentrations in response to a 2-y weight-loss diet intervention in a randomized trial. DESIGN: The current analyses were secondary analyses of a data set from the Pounds Lost Trial. We genotyped APOA5rs964184 in 734 overweight or obese adults who were randomly assigned to one of 4 diets that differed in percentages of energy derived from fat, protein, and carbohydrate for 2 y. We evaluated changes in fasting serum concentrations of total cholesterol (TC), LDL cholesterol, HDL cholesterol, and triglyceride from baseline to 2 y of follow-up. RESULTS: After a 2-y dietary intervention, we showed significant interactions between the APOA5rs964184 polymorphism and dietary fat intake (low compared with high) in the determination of changes in TC, LDL cholesterol, and HDL cholesterol (P-interaction = 0.007, 0.017, and 0.006, respectively). In the low-fat intake group (20% of energy derived from fat), carriers of the risk allele (G allele) exhibited greater reductions in TC and LDL cholesterol than did noncarriers (P = 0.036 and 0.039, respectively), whereas in the high-fat diet group (40% of energy derived from fat), participants with the G allele had a greater increase in HDL cholesterol than did participants without this allele (P = 0.038). CONCLUSION: Our data showed better improvement in lipid profiles from long-term low-fat diet intake in the APOA5rs964184 risk allele.
Authors: Philippa J Talmud; Emma Hawe; Steve Martin; Michael Olivier; George J Miller; Edward M Rubin; Len A Pennacchio; Steve E Humphries Journal: Hum Mol Genet Date: 2002-11-15 Impact factor: 6.150
Authors: L A Pennacchio; M Olivier; J A Hubacek; J C Cohen; D R Cox; J C Fruchart; R M Krauss; E M Rubin Journal: Science Date: 2001-10-05 Impact factor: 47.728
Authors: Melissa A Austin; Philippa J Talmud; Federico M Farin; Deborah A Nickerson; Karen L Edwards; Donna Leonetti; Marguerite J McNeely; Hannah-Malia Viernes; Steve E Humphries; Wilfred Y Fujimoto Journal: Biochim Biophys Acta Date: 2004-01-20
Authors: Mary K Wojczynski; Stephen P Glasser; Albert Oberman; Edmond K Kabagambe; Paul N Hopkins; Michael Y Tsai; Robert J Straka; Jose M Ordovas; Donna K Arnett Journal: Lipids Health Dis Date: 2011-10-18 Impact factor: 3.876
Authors: Leticia Goni; Dianjianyi Sun; Yoriko Heianza; Tiange Wang; Tao Huang; Marta Cuervo; J Alfredo Martínez; Xiaoyun Shang; George A Bray; Frank M Sacks; Lu Qi Journal: J Lipid Res Date: 2017-10-31 Impact factor: 5.922
Authors: George A Bray; William E Heisel; Ashkan Afshin; Michael D Jensen; William H Dietz; Michael Long; Robert F Kushner; Stephen R Daniels; Thomas A Wadden; Adam G Tsai; Frank B Hu; John M Jakicic; Donna H Ryan; Bruce M Wolfe; Thomas H Inge Journal: Endocr Rev Date: 2018-04-01 Impact factor: 19.871
Authors: Kenneth Westerman; Qing Liu; Simin Liu; Laurence D Parnell; Paola Sebastiani; Paul Jacques; Dawn L DeMeo; José M Ordovás Journal: Am J Clin Nutr Date: 2020-04-01 Impact factor: 7.045
Authors: Mary K Wojczynski; Laurence D Parnell; Toni I Pollin; Chao Q Lai; Mary F Feitosa; Jeff R O'Connell; Alexis C Frazier-Wood; Quince Gibson; Stella Aslibekyan; Kathy A Ryan; Michael A Province; Hemant K Tiwari; Jose M Ordovas; Alan R Shuldiner; Donna K Arnett; Ingrid B Borecki Journal: Metabolism Date: 2015-07-03 Impact factor: 8.694