Patel JV, Banerjee A, Montoro-Garcia S, Shantsila E, Alam M, Flinders P, Houlton KA, Hughes EA, Lip GY, Gill PS. CD36 expression and lipid metabolism following an oral glucose challenge in South Asians. World J Diabetes 2015; 6(7): 983-989 [PMID: 26185606 DOI: 10.4239/wjd.v6.i7.983]
Corresponding Author of This Article
Dr. Jeetesh V Patel, Sandwell Medical Research Unit, Sandwell General Hospital, Lyndon, B71 4HJ West Bromwich, United Kingdom. jeeteshp@gmail.com
Research Domain of This Article
Allergy
Article-Type of This Article
Observational Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Jeetesh V Patel, Amitava Banerjee, Silvia Montoro-Garcia, Eduard Shantsila, Elizabeth A Hughes, Gregory YH Lip, University of Birmingham Centre for Cardiovascular Sciences, Sandwell and West Birmingham Hospitals NHS Trust, B71 4HJ West Midlands, United Kingdom
Jeetesh V Patel, Sandwell Medical Research Unit, Sandwell General Hospital, Lyndon, B71 4HJ West Bromwich, United Kingdom
Mushfique Alam, Paramjit S Gill, Primary Care Clinical Sciences, University of Birmingham, B15 2TT West Midlands, United Kingdom
Paul Flinders, Kathleen AL Houlton, Medical School, University of Nottingham, NG7 2UH West Midlands, United Kingdom
ORCID number: $[AuthorORCIDs]
Author contributions: All authors contributed to this manuscript.
Supported by The British Heart Foundation (Project Grant Award: PG PG/08/014); A postdoctoral research grant from the Fundación Ramón Areces (Spain) (to Dr. Montoro-Garcia S).
Ethics approval statement: The study was reviewed ethically by the nationalised Ethics Review board (NRES) and locally and institutionally by the Research and Development Department. Details appear below. The Study was peer reviewed by the British Heart Foundation, who approved funding.
Informed consent statement: All involved persons (subjects or legally authorized representative) gave written informed consent prior to study inclusion.
Conflict-of-interest statement: All authors declare they have no competing interests.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at Dryad repository, who will provide a permanent, citable and open-access home for the dataset.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Dr. Jeetesh V Patel, Sandwell Medical Research Unit, Sandwell General Hospital, Lyndon, B71 4HJ West Bromwich, United Kingdom. jeeteshp@gmail.com
Telephone: +44-121-5073971 Fax: +44-121-5073216
Received: January 23, 2015 Peer-review started: January 24, 2015 First decision: February 7, 2015 Revised: April 20, 2015 Accepted: May 5, 2015 Article in press: May 6, 2015 Published online: July 10, 2015
Abstract
AIM: To investigate lipid metabolism and the relationship with monocyte expression of the fatty acid translocase CD36 in South Asians.
METHODS: An observational study of South Asians whom as an ethnic group have - a higher risk of developing diabetes. The susceptibility to diabetes is coupled with an earlier and more rapid progression of micro-, and macro-vascular complications. Twenty-nine healthy South Asian participants [mean age 34.6 (8.9) years, 76.2% male, mean body-mass index 25.0 (5.2) kg/m2] were recruited from an urban residential area of central Birmingham (United Kingdom). The main outcomes measured were post prandial (30 min) and post absorptive (120 min) changes from fasting (0 min) in circulating lipoproteins, lipds and hormones, and monocyte expression of CD36 post injection of a 75 g oral glucose challenge. The inducements of variations of monocyte CD36 expression were analysed.
RESULTS: Our results showed evident changes in monocyte CD36 expression following the glucose challenge (P < 0.001). Non-esterified fatty acids (NEFA) levels decreased progressively during the challenge (P < 0.001), in contrast to increased cholesterol (but not triglyceride) concentrations within very low density lipoprotein (VLDL) and low density lipoprotein subfractions (P < 0.01). Levels of, glucose, serum triglycerides and high density lipoprotein cholesterol remained largely unchanged. Variations of monocyte CD36 were negatively (r = -0.47, P = 0.04) associated to fat from the diet and positively to carbohydrate from the diet (r = 0.65, P < 0.001).
CONCLUSION: These data suggest that the initiation of VLDL genesis follows the consumption of glucose within this population, inferring that the sequestration of NEFA from these particles happens due to the increased availability of CD36 receptors. While these are preliminary results, it would appear that lifestyle exposures have a role in moderating the expression of CD36.
Core tip: This study investigated the relationship between the expression of fatty acid translocase CD36 on monocytes and lipid and lipoprotein metabolism in South Asians. Post prandial and post absorptive changes from fasting in circulating lipids, lipoproteins, hormones and monocyte expression of CD36 were recorded subsequent to an oral glucose challenge. Our results showed discernible changes in monocyte CD36 expression post glucose administration. These data suggest that the production of very low density lipoprotein occurs subsequent to the ingestion of glucose within this population. It is presumed that the sequestration of non-esterified fatty acids from these particles happens due to an increase in availability of CD36 receptors.
Citation: Patel JV, Banerjee A, Montoro-Garcia S, Shantsila E, Alam M, Flinders P, Houlton KA, Hughes EA, Lip GY, Gill PS. CD36 expression and lipid metabolism following an oral glucose challenge in South Asians. World J Diabetes 2015; 6(7): 983-989
The prevalence of diabetes is increased on the Indian subcontinent[1]. Globally dispersed migrant populations of “South Asians” also have high rates of diabetes, which is evident when compared to the various indigenous populations of where they migrated[2-6]. Nephropathy and retinopathy develop earlier and are more progressive in South Asian diabetics compared to White diabetics[7-11]. The incidence of vascular disease is also higher in South Asians compared to the general White population[12].
Established risk factors such as obesity and urbanised lifestyle “operate” amongst South Asians but it remains unclear as to how far they explain an increased susceptibility to diabetes for this group. Rates of glucose intolerance amongst Indians living in rural village settings appear to be no different to their migrant contemporaries living overseas in Western countries[5,6]. We and others have observed that high glucose excursions in South Asians are underpinned by unregulated non-esterified fatty acids (NEFA) metabolism[13,14]. This phenomenon is likely to be complex and multifactorial, and we were interested to investigate the role of the fatty acid translocase CD36[15], which is the major facilitator of NEFA sequestration from the blood[16]. Specifically, CD36 allows the transport of NEFA that are generated from the lipolysis of triglyceride-rich lipoproteins such as very low density lipoprotein (VLDL) across plasma membranes, and into cells (e.g., monocytes, cardiomyocytes and adipocytes) for fatty acid oxidation and lipid deposition[17]. Cardiomyocytes use glucose in addition to fatty acids for cellular respiration, and the expression of glucose transporter 4 (GLUT4) and the fatty acid transporter CD36 is stimulated by raised insulin concentrations and an increase in cardiac work[18].
Given that abnormalities of increased CD36 expression and NEFA uptake may represent a common cause for diabetes and the progression of its complications[19-21], we measured changes in the expression of CD36 on circulating monocytes and it association with direct indices of NEFA metabolism amongst South Asians during an oral glucose challenge.
MATERIALS AND METHODS
Participants
Healthy South Asian volunteers were recruited between Jan and July 2011 for diabetes research Diabetes Health, Residence and Metabolism in Asians (DHRMA): the DHRMA study - a blinded, randomised, placebo controlled trial at Sandwell and West Birmingham Hospitals NHS Trust (Birmingham United Kingdom) (described in detail elsewhere[22]). All the participants were aged 18 years and over and were of self reported South Asian ethnicity with no known cardiovascular disease or associated medications, body-mass index (BMI) less than 30 kg/m2, and normal glucose tolerance. The study design was approved by the Local Research Ethics Committee. Written informed consent was collected from all participants.
Variables
All patients and controls attended a baseline assessment for the DHRMA study at Sandwell and West Birmingham Hospitals. The assessment incorporated an interview-administered medical history questionnaire, and a dietary assessment (24-h food recall) scrutinised using the WISP (Weighed Intake Software Program) nutritional package (version 3, Tinuviel Software, Llanfechell, United Kingdom)[6], and anthropometric measurements, which were measured using Seca scales and stadiometer (Seca Ltd, Birmingham). Waist measurements were recorded from the narrowest circumference above the umbilicus and below the rib, and the hip was recorded as the widest circumference at the buttocks. Both girths were measured in duplicate, and repeated where there were differences more than 2%. Blood pressure (BP) measurement was repeated three times, 1 min apart (analysing the mean) using a semi automated BP monitor, the OMRON 705CP (Omron Healthcare Europe, Mannheim, Germany) in combination with suitable cuff sizes for each participant, after at least five minutes in the sitting position. During this assessment venepucture was performed to collect blood (as serum, fluoride oxalate plasma and EDTA plasma) at fasting, 30 min post administration of a 75 g oral glucose load (Maxijul; SHS Supplies, Liverpool, United Kingdom). Blood collected with fluoride oxalate was analysed for glucose (glucose oxidase method) within 2 h of venepuncture using the Cobas Integra 400 auto analyser (Roche Diagnostics, United Kingdom). EDTA plasma was stored at 4 °C was analysed by: (1) Flow cytometry was recorded using the becton dickinson (BD) FACSCalibur flow cytometer (BD, Oxford, United Kingdom) (described elsewhere[23]). Absolute counts of monocytes analysed for human CD36 antibodies (Miltenyi Biotec GmbH, Germany). Monocyte CD36 was also assessed in subsets of monocytes by order of their co-expression of CD14, CD16 and CCR2, defined as Mon1: CD14(+)CD16(-)CCR2(+), Mon2: CD14(+)CD16(+)CCR2(+), and Mon3: CD14(low)CD16(+)CCR2(-) (as described previously[23]); and (2) Density gradient ultracentrifugation (described elsewhere[24]) was used to separate VLDL, low density lipoprotein (LDL), high density lipoprotein (HDL)2 and HDL3 subfractions using the Optima TLX Ultracentrifuge (Beckman Coulter, High Wycombe UK). Briefly, VLDL subfractions were extracted at a density 1.006 kg/L, LDL at 1.063 kg/L, HDL2 at 1.123 kg/L and HDL3 at 1.21 kg/L. Concentrations of cholesterol and triglyceride were measured on these separated lipoprotein subfractions on the Cobas Integra 400.
Blood collected as serum was separated and stored at -70 °C for batch analysis using commercially availible (1) colourimetric assays for NEFA (Acyl CoA synthase/oxidase method, Randox Laboratories, Co Antrim, United Kingdom); (2) ELISA for Insulin (Abcam, Cambridge, United Kingdom), adiponectin (R and D systems, Abington, United Kingdom), soluble CD36 (Adipo Bioscience Inc., Santa Clara, United States); and (3) automated biochemistry assays for total cholesterol, HDL cholesterol, LDL cholesterol, apolipoprotein AI, apolipoprotein B on the Cobas Integra 400.
Statistical analysis
Statistical review of the study was performed by a biomedical statistician. Data were analysed and validated using SPSS version 16.0 (SPSS Inc., Chicago, IL, United States). The parametric distribution of variables was scrutinised against Kolmogorov-Smirnov plots. Normally distributed data was analysed using ANOVA. The central tendencies of the data were presented as mean and variation by SD. Non-parametrically distributed data were analysed using the Friedman test for related measures, and data were presented as both median and interquartile ranges. A two-tailed bivariate correlation analysis was performed using Spearman’s correlation coefficient. Categorical data were analysed using χ2 tests. A P value < 0.05 was accepted as statistically significant.
Statistical review was performed by Dr. Andrew Blann, a biomedical statistician.
RESULTS
A total of 29 volunteers were consecutively recruited for this study. The characteristics of the cohort are shown in Table 1. South Asians were typically of Indian origin (72.4%) and subscribed to diets where the fat intake was 40% of the total energy intake. Their mean age was 34.6 (8.9) years, 16 were male (76.2%) and mean levels of BMI, fasting blood glucose, fasting serum lipids, and BP were reflective of a healthy cohort (Table 2). Soluble levels of CD36 were unrelated to monocyte expression of CD36. Analysing variables reported in Tables 1 and 2, variations in the percentage expression of monocyte CD36 was associated with anthropometry and dietary intake (Table 3). These correlations were specific to monocyte subsets, where Mon1 was positively associated with carbohydrate intake, and negatively with fat intake and BMI, while such trends appeared reversed in Mon2 and Mon3 subsets, which were additionally associated with apolipoprotein AI and NEFA (Table 3).
Table 1 Characteristics of South Asian volunteers.
Figure 1 Changes in monocyte subset CD36 expression (Mon CD36+ per μL) pre and post administration of oral glucose.
Monocyte subsets. Mon1: CD14(+)CD16(-)CCR2(+); Mon2: CD14(+)CD16(+)CCR2(+); Mon3: CD14(low)CD16(+)CCR2(-).
Table 2 Fasting metabolic indices and monocyte CD36 expression amongst South Asian volunteers.
Characteristics of 29 South Asian volunteers
Median (interquartile range)
Plasma glucose (mmol/L)
5.09 (4.50, 5.47)
Serum NEFA (mmol/L)
0.416 (0.264, 0.514)
Serum cholesterol (mmol/L)
3.41 (2.95, 3.96)
Serum triglycerides (mmol/L)
0.9 (0.67, 1.44)
HDL cholesterol (mmol/L)
1.27 (0.98, 1.48)
LDL cholesterol (mmol/L)
2.03 (1.56, 2.44)
Apolipoprotein AI (g/L)
1.21 (1.10, 1.43)
Apolipoprotein B (g/L)
0.58 (0.46, 0.77)
VLDL subfraction cholesterol (mmol/L)
1.26 (0.97, 1.44)
LDL subfraction cholesterol (mmol/L)
1.3 (0.80, 1.65)
HDL2 subfraction cholesterol (mmol/L)
0.58 (0.41, 0.76)
HDL3 subfraction cholesterol (mmol/L)
0.37 (0.25, 0.51)
VLDL subfraction triglyceride (mmol/L)
0.34 (0.24, 0.43)
LDL subfraction triglyceride (mmol/L)
0.27 (0.17, 0.55)
HDL2 subfraction triglyceride (mmol/L)
0.08 (0.06, 0.15)
HDL3 subfraction triglyceride (mmol/L)
0.06 (0.04, 0.08)
Insulin (mU/L)
4.64 (2.60, 8.23)
Adiponectin (ng/mL)
1.79 (0.65, 2.65)
Plasma soluble CD36 (mmol/L)
108 (0, 249)
Total monocyte CD36 (Mon CD36+ per μL)
361 (301, 432)
Monocyte CD36 on Mon1 (%)
81.8 (75.1, 85.8)
Monocyte CD36 on Mon2 (%)
7.2 (5.0, 10.3)
Monocyte CD36 on Mon3 (%)
10.5 (8.7, 16.6)
Table 3 Correlation between characteristics and fasting metabolic indices against percentage monocyte CD36 expression.
Characteristics and fasting metabolic indices
Spearman correlation coefficient (P)
Mon1
Mon2
Mon3
Body-mass index
-0.438 (0.02)
0.156 (0.43)
0.418 (0.027)
Hip circumference
-0.633 (0.002)
0.419 (0.06)
0.483 (0.027)
Serum NEFA
-0.349 (0.06)
0.151 (0.43)
0.478 (0.009)
Apolipoprotein AI
-0.282 (0.14)
0.475 (0.009)
0.149 (0.44)
Energy from total fat (%)
-0.472 (0.036)
0.399 (0.08)
0.458 (0.04)
Energy from monounsaturated fat (%)
-0.691 (< 0.001)
0.724 (< 0.001)
0.230 (0.33)
Energy from carbohydrates (%)
0.645 (0.002)
-0.496 (0.026)
-0.533 (0.016)
On analysis of serial measures of monocyte CD36 expression, there were evident changes in receptor concentrations for all monocytes (P < 0.001), as well as across subsets Mon1 (P < 0.001), Mon2 (P = 0.011) and Mon3 (P = 0.03) (Table 4). The profile of monocyte subset changes reflected a decrease post-prandially (30 min after the glucose challenge) and higher levels post-absorbatively (after 120 min) in Mon1 and Mon2 (Figure 1). NEFA levels progressively decreased during the glucose challenge (P < 0.001), whereas cholesterol concentrations within VLDL and LDL subfractions increased (P < 0.001). The levels of triglyceride within VLDL particles and HDL particles appeared to decrease during the glucose challenge, but these changes were not significant. Levels of serum triglycerides, glucose, HDL subfraction lipids were largely unchanged following the glucose load. Similarly, there were no significant changes in percentage expression of monocyte CD36 on Mon1, Mon2 or Mon3.
Table 4 Changes in metabolic factors absolute monocyte CD36 expression pre and post administration of oral glucose.
Circulating concentrations following the administration of glucose
Greater CD36 expression following a glucose challenge in healthy South Asians, could reflect a physiological response to counteract the toxicity of excessive plasma glucose. Monocytes have been shown to present an intracellular CD36 pool[25], and the transient expression of CD36 in monocytes during glucose challenge, may serve as a critical process in dictating the functional activity of CD36 during diabetic conditions and perhaps, atherogenesis. These increases in absolute monocyte CD36 concentrations occurred in parallel to an exponential decrease in NEFA, a rise in levels of VLDL and LDL cholesterol, and no changes in plasma glucose, serum triglycerides or HDL cholesterol. It is possible that the oral glucose challenge in South Asians results in the generation of VLDL particles, and the increased availability and action of CD36 results in the liberation of triglyceride from these particles. The expression of CD36 on monocytes is associated with factors such as dietary fat and carbohydrate, and we are tempted to speculate that lifestyle exposures have a role in moderating the expression of CD36.
An increase in the expression of CD36 is seen as a dysfunctional event, and in diabetics it is associated with a down regulation of the GLUT4 receptor and a reduction in glycogen synthesis[18]. In South Asians, this response to increase CD36 expression following a glucose load may reflect a homeostatic process to up-regulate those mechanisms that preferentially store energy as fat. In animal models and cellular models, CD36 is shown to lower circulating NEFA concentrations and to promote the efflux of triglyceride from VLDL[16].
The reasons this “ethnic” preference to process energy in this way are complex. One interesting aspect of CD36 measurement in South Asians is in its dual role in the clearance of red blood cells infected with plasmodium falciparum. The interaction between malaria and CD36 receptors is complex and the subject of debate[26]. South Asians have evolved from a part of the world where malaria was endemic[27], and this may have conferred a survival benefit[28,29].
Hepcidin is upregulated in malarial infected individuals by interleukin-6[29], a protein that supports hepatic gluconeogenesis, by a process that is dysregulated in diabetics. Further research is required to fully understand the link between exposure to malaria and a subsequent susceptibility to diabetes.
Monocytes and macrophages play a fundamental role in the pathogenesis of atherosclerosis, and various subtypes of monocytes are associated with cardiovascular diseases[30]. Functional differences of three Mon1, Mon2 and Mon3 monocyte subsets have been described[23]. Each monocyte subset responds differently to distinctive immunological stimuli. For example, Mon2 and 3 monocytes predominate during inflammatory states and Mon1 in response to Candida albicans[29]. The production of cytokines such as tumor necrosis factor-alpha, associated with diabetes, also varies with stimulus[31]. However, responses in CD36 expression following the glucose challenge were largely similar across these subsets, and as such the metabolic significance of these subclassifications are unclear. The increased surface expression of CD36 on Mon1 was associated with lower BMI and a higher intake of carbohydrate, where as the converse appeared true for Mon1 and Mon2, which were positively associated with dietary fat. Such findings suggest that the expression of CD36 on monocytes can be moderated by diet.
Due to the low numbers of subjects in this study, we only had sufficient statistical power to detect significant associations (alpha at 0.02) where the correlation coefficient was ≥ 0.55. We found levels of soluble CD36 to be unrelated to monocytes and metabolic measures. However, elsewhere, soluble CD36 has been shown to reflect several aspects of insulin resistance in humans[32]. The isolation of lipoprotein subfractions by ultracentrifugation is prone to losses during the extraction process. Further work would need to be undertaken to analyse the generalisability of the data generated here. There is considerable diversity within the South Asian ethnic category, it encompases over 22 different languages and more than 6 different religions. The dietary intake of fat in this cohort was similar to that we have measured in a larger cohort of South Asians Living in the United Kingdom[33]. Nonetheless, the dietary intake of fat in these groups is much greater than that seen amongst South Asians living in rural India[28].
In summary, these data describe changes in lipid metabolism following the oral ingestion of glucose in South Asians which includes the generation of VLDL, and an increase in monocytes expressing CD36. We presume that triglycerides from these particles are cleared by an increase in the availability of CD36 receptors, and it would appear that lifestyle exposures may influence this process.
COMMENTS
Background
The incidence of diabetes in South Asian populations, including those living in the Indian Subcontinent, and those who have migrated away, is significant. Indeed it is higher than in comparable Caucasian populations and the resulting complications of diabetes such as nephropathy and retinopathy occur both earlier and more severely. Despite extensive investigation, the underlying pathophysiological processes explaining this phenomenon remain elusive. For its part, this study investigated lipid and lipoprotein metabolism and its relationship with the expression of the fatty acid translocase CD36 on monocytes in South Asians.
Research frontiers
Gene variants in CD36, a macrophage scavenger receptor, have been implicated in the pathogenesis of type 2 diabetes and its complications.
Innovations and breakthroughs
This study found that following the administration of a glucose load to South Asian individuals, an upregulation of CD36 positive monocytes was demonstrated which has not been previously seen. In keeping with animal models, it is presumed this increased CD36 expression facilitates the sequestration of triglycerides from very low density lipoprotein particles.
Terminology
This finding suggests that CD36 may represent an as yet unexploited target for therapeutic interventions addressing both diabetes and dyslipidaemia.
Peer-review
This is a very interesting study and all the sections of the manuscript are complete; results have been well described in the text and in the Tables and Figure.
Footnotes
P- Reviewer: Okumura K, Verrotti A S- Editor: Ji FF L- Editor: A E- Editor: Liu SQ
Dowse GK, Gareeboo H, Zimmet PZ, Alberti KG, Tuomilehto J, Fareed D, Brissonnette LG, Finch CF. High prevalence of NIDDM and impaired glucose tolerance in Indian, Creole, and Chinese Mauritians. Mauritius Noncommunicable Disease Study Group.Diabetes. 1990;39:390-396.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 90][Cited by in F6Publishing: 103][Article Influence: 3.0][Reference Citation Analysis (0)]
Chandie Shaw PK, Baboe F, van Es LA, van der Vijver JC, van de Ree MA, de Jonge N, Rabelink TJ. South-Asian type 2 diabetic patients have higher incidence and faster progression of renal disease compared with Dutch-European diabetic patients.Diabetes Care. 2006;29:1383-1385.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 84][Cited by in F6Publishing: 86][Article Influence: 4.8][Reference Citation Analysis (0)]
Stolk RP, van Schooneveld MJ, Cruickshank JK, Hughes AD, Stanton A, Lu J, Patel A, Thom SA, Grobbee DE, Vingerling JR. Retinal vascular lesions in patients of Caucasian and Asian origin with type 2 diabetes: baseline results from the ADVANCE Retinal Measurements (AdRem) study.Diabetes Care. 2008;31:708-713.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 31][Cited by in F6Publishing: 34][Article Influence: 2.1][Reference Citation Analysis (0)]
Raymond NT, Varadhan L, Reynold DR, Bush K, Sankaranarayanan S, Bellary S, Barnett AH, Kumar S, O’Hare JP. Higher prevalence of retinopathy in diabetic patients of South Asian ethnicity compared with white Europeans in the community: a cross-sectional study.Diabetes Care. 2009;32:410-415.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 100][Cited by in F6Publishing: 98][Article Influence: 6.5][Reference Citation Analysis (0)]
Kooner JS, Baliga RR, Wilding J, Crook D, Packard CJ, Banks LM, Peart S, Aitman TJ, Scott J. Abdominal obesity, impaired nonesterified fatty acid suppression, and insulin-mediated glucose disposal are early metabolic abnormalities in families with premature myocardial infarction.Arterioscler Thromb Vasc Biol. 1998;18:1021-1026.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 39][Cited by in F6Publishing: 41][Article Influence: 1.6][Reference Citation Analysis (0)]
Endemann G, Stanton LW, Madden KS, Bryant CM, White RT, Protter AA. CD36 is a receptor for oxidized low density lipoprotein.J Biol Chem. 1993;268:11811-11816.
[PubMed] [DOI][Cited in This Article: ]
Bharadwaj KG, Hiyama Y, Hu Y, Huggins LA, Ramakrishnan R, Abumrad NA, Shulman GI, Blaner WS, Goldberg IJ. Chylomicron- and VLDL-derived lipids enter the heart through different pathways: in vivo evidence for receptor- and non-receptor-mediated fatty acid uptake.J Biol Chem. 2010;285:37976-37986.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 89][Cited by in F6Publishing: 91][Article Influence: 6.5][Reference Citation Analysis (0)]
Aguer C, Mercier J, Man CY, Metz L, Bordenave S, Lambert K, Jean E, Lantier L, Bounoua L, Brun JF. Intramyocellular lipid accumulation is associated with permanent relocation ex vivo and in vitro of fatty acid translocase (FAT)/CD36 in obese patients.Diabetologia. 2010;53:1151-1163.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 78][Cited by in F6Publishing: 80][Article Influence: 5.7][Reference Citation Analysis (0)]
Winocour PH, Durrington PN, Bhatnagar D, Ishola M, Mackness M, Arrol S. Influence of early diabetic nephropathy on very low density lipoprotein (VLDL), intermediate density lipoprotein (IDL), and low density lipoprotein (LDL) composition.Atherosclerosis. 1991;89:49-57.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 22][Cited by in F6Publishing: 24][Article Influence: 0.7][Reference Citation Analysis (0)]
Huh HY, Pearce SF, Yesner LM, Schindler JL, Silverstein RL. Regulated expression of CD36 during monocyte-to-macrophage differentiation: potential role of CD36 in foam cell formation.Blood. 1996;87:2020-2028.
[PubMed] [DOI][Cited in This Article: ]
Handberg A, Højlund K, Gastaldelli A, Flyvbjerg A, Dekker JM, Petrie J, Piatti P, Beck-Nielsen H. Plasma sCD36 is associated with markers of atherosclerosis, insulin resistance and fatty liver in a nondiabetic healthy population.J Intern Med. 2012;271:294-304.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 54][Cited by in F6Publishing: 56][Article Influence: 4.7][Reference Citation Analysis (0)]
Patel JV, Vyas A, Cruickshank JK, Prabhakaran D, Hughes E, Reddy KS, Mackness MI, Bhatnagar D, Durrington PN. Impact of migration on coronary heart disease risk factors: comparison of Gujaratis in Britain and their contemporaries in villages of origin in India.Atherosclerosis. 2006;185:297-306.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 166][Cited by in F6Publishing: 147][Article Influence: 7.7][Reference Citation Analysis (0)]
