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Association between lipids and apolipoproteins on type 2 diabetes risk; moderating effects of gender and polymorphisms; the ATTICA study
Affiliation:1. Department of Clinical Pharmacology, Medical University of Vienna, Austria;2. Department of Laboratory Medicine, Medical University of Vienna, Austria;3. Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Austria
Abstract:Background and aimsType 2 diabetes mellitus (T2DM) is a condition defined by hyperglycaemia, but also often presents with dyslipidaemia and suppressed HDL cholesterol. Mendelian randomization studies have suggested a causal link between low HDL cholesterol and T2DM. However, influences of gender, polymorphisms and lifestyle, all known to influence HDL cholesterol, have not been fully explored in a prospective cohort.Methods and resultsIn 2001–2002, a random sample of 1514 males (18–87 years old) and 1528 females (18–89 years old) were recruited in the ATTICA study. The 10-year follow-up (2011–2012) included 1485 participants. Lipids and lipoproteins levels, glucose and insulin levels were measured together with apolipoprotein A1 (apoA1) 75 G/A genotype, which is known to influence HDL-cholesterol. In total, 12.9% of the study sample developed T2DM within the 10-year follow-up period. In multivariable models, for each mg/dL increase in apoA1 levels in males, 10-year T2DM risk decreased 1.02%; while every unit increase in apoB/LDL-cholesterol ratio increased risk 4-fold. Finally, for every unit increase in triglycerides/apoA1 ratio, the risk increased 85%. HOMA-IR independently predicted T2DM 10-year incidence only for carriers of GG polymorphism (all, p < 0.05), but not in carriers of the GA polymorphism (all, p > 0.05).ConclusionApoA1 was associated with decreased T2DM risk and TG/ApoA1 and apoB/LDL were associated with increased risk of T2DM, only in males. ApoA1 polymorphism, which is associated with lower HDL cholesterol, influenced the predictive effects of HOMA-IR on T2DM incidence, which appeared to be moderated by physical activity, suggesting potential scope for more targeted preventative strategies.
Keywords:Lipids  HDL cholesterol  Apolipoprotein A-1  Type 2 diabetes risk  Prospective cohort  apoA1"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0040"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Apolipoprotein A-1  apoB"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0050"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Apolipoprotein B  BMI"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0060"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Body mass index  CVD"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0070"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  cardiovascular disease  HDLc"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0080"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  High-Density Lipoprotein cholesterol  IPAQ"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0090"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  International Physical Activity Questionnaire  LDLc"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0100"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Low-Density Lipoprotein cholesterol  TG"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0110"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Triglycerides  T2DM"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0120"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Type 2 Diabetes Mellitus
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