2. Eckel RH, Kahn SE, Ferrannini E, Goldfine AB, Nathan DM, Schwartz MW, Smith RJ, Smith SR. Obesity and type 2 diabetes: what can be unified and what needs to be individualized? J Clin Endocrinol Metab. 2011; 96:1654–1663.
Article
3. Glatz JF, Luiken JJ, Bonen A. Membrane fatty acid transporters as regulators of lipid metabolism: implications for metabolic disease. Physiol Rev. 2010; 90:367–417.
Article
4. Snel M, Jonker JT, Schoones J, Lamb H, de Roos A, Pijl H, Smit JW, Meinders AE, Jazet IM. Ectopic fat and insulin resistance: pathophysiology and effect of diet and lifestyle interventions. Int J Endocrinol. 2012; 2012:983814.
Article
5. An P, Freedman BI, Hanis CL, Chen YD, Weder AB, Schork NJ, Boerwinkle E, Province MA, Hsiung CA, Wu X, Quertermous T, Rao DC. Genome-wide linkage scans for fasting glucose, insulin, and insulin resistance in the National Heart, Lung, and Blood Institute Family Blood Pressure Program: evidence of linkages to chromosome 7q36 and 19q13 from meta-analysis. Diabetes. 2005; 54:909–914.
Article
6. Arya R, Blangero J, Williams K, Almasy L, Dyer TD, Leach RJ, O'Connell P, Stern MP, Duggirala R. Factors of insulin resistance syndrome: related phenotypes are linked to genetic locations on chromosomes 6 and 7 in nondiabetic Mexican-Americans. Diabetes. 2002; 51:841–847.
7. Malhotra A, Elbein SC, Ng MC, Duggirala R, Arya R, Imperatore G, Adeyemo A, Pollin TI, Hsueh WC, Chan JC, Rotimi C, Hanson RL, Hasstedt SJ, Wolford JK. Meta-analysis of genome-wide linkage studies of quantitative lipid traits in families ascertained for type 2 diabetes. Diabetes. 2007; 56:890–896.
Article
8. Bonen A, Parolin ML, Steinberg GR, Calles-Escandon J, Tandon NN, Glatz JF, Luiken JJ, Heigenhauser GJ, Dyck DJ. Triacylglycerol accumulation in human obesity and type 2 diabetes is associated with increased rates of skeletal muscle fatty acid transport and increased sarcolemmal FAT/CD36. FASEB J. 2004; 18:1144–1146.
Article
9. Liang CP, Han S, Okamoto H, Carnemolla R, Tabas I, Accili D, Tall AR. Increased CD36 protein as a response to defective insulin signaling in macrophages. J Clin Invest. 2004; 113:764–773.
Article
10. Sampson MJ, Davies IR, Braschi S, Ivory K, Hughes DA. Increased expression of a scavenger receptor (CD36) in monocytes from subjects with type 2 diabetes. Atherosclerosis. 2003; 167:129–134.
Article
11. Handberg A, Levin K, Hojlund K, Beck-Nielsen H. Identification of the oxidized low-density lipoprotein scavenger receptor CD36 in plasma: a novel marker of insulin resistance. Circulation. 2006; 114:1169–1176.
12. Heeboll S, Poulsen MK, Ornstrup MJ, Kjaer TN, Pedersen SB, Nielsen S, Gronbaek H, Handberg A. Circulating sCD36 levels in patients with non-alcoholic fatty liver disease and controls. Int J Obes (Lond). 2017; 41:262–267.
13. Glintborg D, Hojlund K, Andersen M, Henriksen JE, Beck-Nielsen H, Handberg A. Soluble CD36 and risk markers of insulin resistance and atherosclerosis are elevated in polycystic ovary syndrome and significantly reduced during pioglitazone treatment. Diabetes Care. 2008; 31:328–334.
Article
14. Handberg A, Norberg M, Stenlund H, Hallmans G, Attermann J, Eriksson JW. Soluble CD36 (sCD36) clusters with markers of insulin resistance, and high sCD36 is associated with increased type 2 diabetes risk. J Clin Endocrinol Metab. 2010; 95:1939–1946.
Article
15. Tjonneland A, Olsen A, Boll K, Stripp C, Christensen J, Engholm G, Overvad K. Study design, exposure variables, and socioeconomic determinants of participation in Diet, Cancer and Health: a population-based prospective cohort study of 57,053 men and women in Denmark. Scand J Public Health. 2007; 35:432–441.
Article
16. Barlow WE, Ichikawa L, Rosner D, Izumi S. Analysis of case-cohort designs. J Clin Epidemiol. 1999; 52:1165–1172.
Article
17. Rosner B, Cook N, Portman R, Daniels S, Falkner B. Determination of blood pressure percentiles in normal-weight children: some methodological issues. Am J Epidemiol. 2008; 167:653–666.
Article
19. Stegger JG, Schmidt EB, Obel T, Berentzen TL, Tjonneland A, Sorensen TI, Overvad K. Body composition and body fat distribution in relation to later risk of acute myocardial infarction: a Danish follow-up study. Int J Obes (Lond). 2011; 35:1433–1441.
Article
20. Payne R, Neykov M, Jensen MK, Cai T. Kernel machine testing for risk prediction with stratified case cohort studies. Biometrics. 2016; 72:372–381.
Article
21. Samovski D, Dhule P, Pietka T, Jacome-Sosa M, Penrose E, Son NH, Flynn CR, Shoghi KI, Hyrc KL, Goldberg IJ, Gamazon ER, Abumrad NA. Regulation of insulin receptor pathway and glucose metabolism by CD36 signaling. Diabetes. 2018; 67:1272–1284.
Article
22. Khan S, Kowluru A. CD36 mediates lipid accumulation in pancreatic beta cells under the duress of glucolipotoxic conditions: novel roles of lysine deacetylases. Biochem Biophys Res Commun. 2018; 495:2221–2226.
Article
23. Elumalai S, Karunakaran U, Lee IK, Moon JS, Won KC. Rac1-NADPH oxidase signaling promotes CD36 activation under glucotoxic conditions in pancreatic beta cells. Redox Biol. 2017; 11:126–134.
Article
24. Asakawa H, Tokunaga K, Kawakami F. Relationship of abdominal fat with metabolic disorders in diabetes mellitus patients. Diabetes Res Clin Pract. 2002; 55:139–149.
Article
25. Kelley DE, Thaete FL, Troost F, Huwe T, Goodpaster BH. Subdivisions of subcutaneous abdominal adipose tissue and insulin resistance. Am J Physiol Endocrinol Metab. 2000; 278:E941–E948.
26. Zhang D, Zhang R, Liu Y, Sun X, Yin Z, Li H, Zhao Y, Wang B, Ren Y, Cheng C, Liu X, Liu D, Liu F, Chen X, Liu L, Zhou Q, Xiong Y, Xu Q, Liu J, Hong S, You Z, Hu D, Zhang M. CD36 gene variants is associated with type 2 diabetes mellitus through the interaction of obesity in rural Chinese adults. Gene. 2018; 659:155–159.
Article
27. Aitman TJ, Glazier AM, Wallace CA, Cooper LD, Norsworthy PJ, Wahid FN, Al-Majali KM, Trembling PM, Mann CJ, Shoulders CC, Graf D, St Lezin E, Kurtz TW, Kren V, Pravenec M, Ibrahimi A, Abumrad NA, Stanton LW, Scott J. Identification of Cd36 (Fat) as an insulin-resistance gene causing defective fatty acid and glucose metabolism in hypertensive rats. Nat Genet. 1999; 21:76–83.
Article
28. Koonen DP, Jensen MK, Handberg A. Soluble CD36- a marker of the (pathophysiological) role of CD36 in the metabolic syndrome? Arch Physiol Biochem. 2011; 117:57–63.
Article
30. Norberg M, Stenlund H, Lindahl B, Andersson C, Weinehall L, Hallmans G, Eriksson JW. Components of metabolic syndrome predicting diabetes: no role of inflammation or dyslipidemia. Obesity. 2007; 15:1875–1885.
Article
31. Griffin E, Re A, Hamel N, Fu C, Bush H, McCaffrey T, Asch AS. A link between diabetes and atherosclerosis: glucose regulates expression of CD36 at the level of translation. Nat Med. 2001; 7:840–846.
Article
32. Bonen A, Tandon NN, Glatz JF, Luiken JJ, Heigenhauser GJ. The fatty acid transporter FAT/CD36 is upregulated in subcutaneous and visceral adipose tissues in human obesity and type 2 diabetes. Int J Obes (Lond). 2006; 30:877–883.
Article
33. Kunjathoor VV, Febbraio M, Podrez EA, Moore KJ, Andersson L, Koehn S, Rhee JS, Silverstein R, Hoff HF, Freeman MW. Scavenger receptors class A-I/II and CD36 are the principal receptors responsible for the uptake of modified low density lipoprotein leading to lipid loading in macrophages. J Biol Chem. 2002; 277:49982–49988.
Article
34. Love-Gregory L, Sherva R, Schappe T, Qi JS, McCrea J, Klein S, Connelly MA, Abumrad NA. Common CD36 SNPs reduce protein expression and may contribute to a protective atherogenic profile. Hum Mol Genet. 2011; 20:193–201.
Article
35. Love-Gregory L, Sherva R, Sun L, Wasson J, Schappe T, Doria A, Rao DC, Hunt SC, Klein S, Neuman RJ, Permutt MA, Abumrad NA. Variants in the CD36 gene associate with the metabolic syndrome and high-density lipoprotein cholesterol. Hum Mol Genet. 2008; 17:1695–1704.
Article
36. Thunander M, Petersson C, Jonzon K, Fornander J, Ossiansson B, Torn C, Edvardsson S, Landin-Olsson M. Incidence of type 1 and type 2 diabetes in adults and children in Kronoberg, Sweden. Diabetes Res Clin Pract. 2008; 82:247–255.
Article