Skip to main content
Top
Published in: Diabetologia 12/2015

01-12-2015 | Article

Low-density-lipoprotein cholesterol concentrations and risk of incident diabetes: epidemiological and genetic insights from the Framingham Heart Study

Authors: Charlotte Andersson, Asya Lyass, Martin G. Larson, Sander J. Robins, Ramachandran S. Vasan

Published in: Diabetologia | Issue 12/2015

Login to get access

Abstract

Aims/hypothesis

Statins and niacin (nicotinic acid) reduce circulating LDL-cholesterol (LDL-C) levels by different mechanisms. Yet, both increase the risk of diabetes mellitus. Our objective was to relate blood LDL-C concentrations and a genetic risk score (GRS) for LDL-C to the risk of incident diabetes in individuals not treated with lipid-modifying therapy.

Methods

We evaluated participants of the Framingham Heart Study who attended any of Offspring cohort examination cycles 3–8 and Third Generation cohort examination cycle 1 (N =14,120 person-observations, 6,011 unique individuals; mean age 50 ± 11 years, 56% women), who were not treated with lipid-modifying or antihypertensive medications and who were free from cardiovascular disease at baseline. Incident diabetes was assessed at the next examination.

Results

The GRS was significantly associated with LDL-C concentrations (sex- and age-adjusted estimated influence 0.24, p < 0.0001). On follow-up (mean 4.5 ± 1.5 years), 312 individuals (2.2%) developed new-onset diabetes. In multivariable models, a higher LDL-C concentration was associated with lower risk of diabetes (OR per SD increment 0.81, 95% CI 0.70, 0.93, p = 0.004). The GRS was associated with incident diabetes in a similar direction and of comparable magnitude (OR per SD increment 0.85, 95% CI 0.76, 0.96, p = 0.009).

Conclusions/interpretation

Among individuals not treated with lipid-modifying therapy low LDL-C concentrations were associated with increased diabetes risk. These observations may contribute to our understanding of why lipid-lowering treatment may cause diabetes in some individuals. Additional studies are warranted to elucidate the molecular mechanisms underlying our observations.
Appendix
Available only for authorised users
Literature
1.
go back to reference Sattar N, Preiss D, Murray HM et al (2010) Statins and risk of incident diabetes: a collaborative meta-analysis of randomised statin trials. Lancet 375:735–742CrossRefPubMed Sattar N, Preiss D, Murray HM et al (2010) Statins and risk of incident diabetes: a collaborative meta-analysis of randomised statin trials. Lancet 375:735–742CrossRefPubMed
2.
go back to reference Landray MJ, Haynes R, Hopewell JC et al (2014) Effects of extended-release niacin with laropiprant in high-risk patients. N Engl J Med 371:203–212CrossRefPubMed Landray MJ, Haynes R, Hopewell JC et al (2014) Effects of extended-release niacin with laropiprant in high-risk patients. N Engl J Med 371:203–212CrossRefPubMed
3.
go back to reference Swerdlow DI, Preiss D, Kuchenbaecker KB et al (2015) HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials. Lancet 385:351–361CrossRefPubMedCentralPubMed Swerdlow DI, Preiss D, Kuchenbaecker KB et al (2015) HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials. Lancet 385:351–361CrossRefPubMedCentralPubMed
4.
go back to reference Li N, van der Sijde MR, Bakker SJ et al (2014) Pleiotropic effects of lipid genes on plasma glucose, HbA1c, and HOMA-IR levels. Diabetes 63:3149–3158CrossRefPubMed Li N, van der Sijde MR, Bakker SJ et al (2014) Pleiotropic effects of lipid genes on plasma glucose, HbA1c, and HOMA-IR levels. Diabetes 63:3149–3158CrossRefPubMed
5.
go back to reference Fall T, Xie W, Poon W et al (2015) Using genetic variants to assess the relationship between circulating lipids and type 2 diabetes. Diabetes 64:2676–2684CrossRefPubMed Fall T, Xie W, Poon W et al (2015) Using genetic variants to assess the relationship between circulating lipids and type 2 diabetes. Diabetes 64:2676–2684CrossRefPubMed
6.
go back to reference Besseling J, Kastelein JJ, Defesche JC, Hutten BA, Hovingh GK (2015) Association between familial hypercholesterolemia and prevalence of type 2 diabetes mellitus. JAMA 313:1029–1036CrossRefPubMed Besseling J, Kastelein JJ, Defesche JC, Hutten BA, Hovingh GK (2015) Association between familial hypercholesterolemia and prevalence of type 2 diabetes mellitus. JAMA 313:1029–1036CrossRefPubMed
7.
go back to reference Pihlajamaki J, Gylling H, Miettinen TA, Laakso M (2004) Insulin resistance is associated with increased cholesterol synthesis and decreased cholesterol absorption in normoglycemic men. J Lipid Res 45:507–512CrossRefPubMed Pihlajamaki J, Gylling H, Miettinen TA, Laakso M (2004) Insulin resistance is associated with increased cholesterol synthesis and decreased cholesterol absorption in normoglycemic men. J Lipid Res 45:507–512CrossRefPubMed
8.
go back to reference Hoenig MR, Sellke FW (2010) Insulin resistance is associated with increased cholesterol synthesis, decreased cholesterol absorption and enhanced lipid response to statin therapy. Atherosclerosis 211:260–265CrossRefPubMed Hoenig MR, Sellke FW (2010) Insulin resistance is associated with increased cholesterol synthesis, decreased cholesterol absorption and enhanced lipid response to statin therapy. Atherosclerosis 211:260–265CrossRefPubMed
9.
go back to reference Simonen PP, Gylling HK, Miettinen TA (2002) Diabetes contributes to cholesterol metabolism regardless of obesity. Diabetes Care 25:1511–1515CrossRefPubMed Simonen PP, Gylling HK, Miettinen TA (2002) Diabetes contributes to cholesterol metabolism regardless of obesity. Diabetes Care 25:1511–1515CrossRefPubMed
10.
go back to reference Tsao CW, Preis SR, Peloso GM et al (2012) Relations of long-term and contemporary lipid levels and lipid genetic risk scores with coronary artery calcium in the framingham heart study. J Am Coll Cardiol 60:2364–2371CrossRefPubMedCentralPubMed Tsao CW, Preis SR, Peloso GM et al (2012) Relations of long-term and contemporary lipid levels and lipid genetic risk scores with coronary artery calcium in the framingham heart study. J Am Coll Cardiol 60:2364–2371CrossRefPubMedCentralPubMed
11.
go back to reference Demant MN, Gislason GH, Kober L, Vaag A, Torp-Pedersen C, Andersson C (2014) Association of heart failure severity with risk of diabetes: a Danish nationwide cohort study. Diabetologia 57:1595–1600CrossRefPubMed Demant MN, Gislason GH, Kober L, Vaag A, Torp-Pedersen C, Andersson C (2014) Association of heart failure severity with risk of diabetes: a Danish nationwide cohort study. Diabetologia 57:1595–1600CrossRefPubMed
12.
go back to reference Andersson C, Norgaard ML, Hansen PR et al (2010) Heart failure severity, as determined by loop diuretic dosages, predicts the risk of developing diabetes after myocardial infarction: a nationwide cohort study. Eur J Heart Fail 12:1333–1338CrossRefPubMed Andersson C, Norgaard ML, Hansen PR et al (2010) Heart failure severity, as determined by loop diuretic dosages, predicts the risk of developing diabetes after myocardial infarction: a nationwide cohort study. Eur J Heart Fail 12:1333–1338CrossRefPubMed
13.
go back to reference Zillich AJ, Garg J, Basu S, Bakris GL, Carter BL (2006) Thiazide diuretics, potassium, and the development of diabetes: a quantitative review. Hypertension 48:219–224CrossRefPubMed Zillich AJ, Garg J, Basu S, Bakris GL, Carter BL (2006) Thiazide diuretics, potassium, and the development of diabetes: a quantitative review. Hypertension 48:219–224CrossRefPubMed
14.
go back to reference Niklason A, Hedner T, Niskanen L, Lanke J (2004) Development of diabetes is retarded by ACE inhibition in hypertensive patients--a subanalysis of the Captopril Prevention Project (CAPPP). J Hypertens 22:645–652CrossRefPubMed Niklason A, Hedner T, Niskanen L, Lanke J (2004) Development of diabetes is retarded by ACE inhibition in hypertensive patients--a subanalysis of the Captopril Prevention Project (CAPPP). J Hypertens 22:645–652CrossRefPubMed
15.
go back to reference Shen L, Shah BR, Reyes EM et al (2013) Role of diuretics, beta blockers, and statins in increasing the risk of diabetes in patients with impaired glucose tolerance: reanalysis of data from the NAVIGATOR study. BMJ 347:f6745CrossRefPubMedCentralPubMed Shen L, Shah BR, Reyes EM et al (2013) Role of diuretics, beta blockers, and statins in increasing the risk of diabetes in patients with impaired glucose tolerance: reanalysis of data from the NAVIGATOR study. BMJ 347:f6745CrossRefPubMedCentralPubMed
16.
go back to reference Friedewald WT, Levy RI, Fredrickson DS (1972) Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 18:499–502PubMed Friedewald WT, Levy RI, Fredrickson DS (1972) Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 18:499–502PubMed
17.
18.
go back to reference Cupples LA, DʼAgostino RB, Anderson K, Kannel WB (1988) Comparison of baseline and repeated measure covariate techniques in the Framingham Heart Study. Stat Med 7:205–222CrossRefPubMed Cupples LA, DʼAgostino RB, Anderson K, Kannel WB (1988) Comparison of baseline and repeated measure covariate techniques in the Framingham Heart Study. Stat Med 7:205–222CrossRefPubMed
19.
go back to reference DʼAgostino RB, Lee ML, Belanger AJ, Cupples LA, Anderson K, Kannel WB (1990) Relation of pooled logistic regression to time dependent Cox regression analysis: the Framingham Heart Study. Stat Med 9:1501–1515CrossRefPubMed DʼAgostino RB, Lee ML, Belanger AJ, Cupples LA, Anderson K, Kannel WB (1990) Relation of pooled logistic regression to time dependent Cox regression analysis: the Framingham Heart Study. Stat Med 9:1501–1515CrossRefPubMed
20.
go back to reference Wilson PW, Meigs JB, Sullivan L, Fox CS, Nathan DM, DʼAgostino RB Sr (2007) Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. Arch Intern Med 167:1068–1074CrossRefPubMed Wilson PW, Meigs JB, Sullivan L, Fox CS, Nathan DM, DʼAgostino RB Sr (2007) Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. Arch Intern Med 167:1068–1074CrossRefPubMed
21.
go back to reference Burgess S (2014) Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome. Int J Epidemiol 43:922–929CrossRefPubMedCentralPubMed Burgess S (2014) Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome. Int J Epidemiol 43:922–929CrossRefPubMedCentralPubMed
22.
go back to reference Deloukas P, Kanoni S, Willenborg C et al (1965) The environment and disease: association or causation? Proc R Soc Med 58:295–300 Deloukas P, Kanoni S, Willenborg C et al (1965) The environment and disease: association or causation? Proc R Soc Med 58:295–300
23.
go back to reference Pulai JI, Latour MA, Kwok PY, Schonfeld G (1998) Diabetes mellitus in a new kindred with familial hypobetalipoproteinemia and an apolipoprotein B truncation (apoB-55). Atherosclerosis 136:289–295CrossRefPubMed Pulai JI, Latour MA, Kwok PY, Schonfeld G (1998) Diabetes mellitus in a new kindred with familial hypobetalipoproteinemia and an apolipoprotein B truncation (apoB-55). Atherosclerosis 136:289–295CrossRefPubMed
24.
25.
go back to reference Preiss D, Sattar N (2015) Does the LDL receptor play a role in the risk of developing type 2 diabetes? JAMA 313:1016–1017CrossRefPubMed Preiss D, Sattar N (2015) Does the LDL receptor play a role in the risk of developing type 2 diabetes? JAMA 313:1016–1017CrossRefPubMed
Metadata
Title
Low-density-lipoprotein cholesterol concentrations and risk of incident diabetes: epidemiological and genetic insights from the Framingham Heart Study
Authors
Charlotte Andersson
Asya Lyass
Martin G. Larson
Sander J. Robins
Ramachandran S. Vasan
Publication date
01-12-2015
Publisher
Springer Berlin Heidelberg
Published in
Diabetologia / Issue 12/2015
Print ISSN: 0012-186X
Electronic ISSN: 1432-0428
DOI
https://doi.org/10.1007/s00125-015-3762-x

Other articles of this Issue 12/2015

Diabetologia 12/2015 Go to the issue