| Literature DB >> 32347024 |
Jun Sung Moon1, Udayakumar Karunakaran1, Elumalai Suma1, Seung Min Chung1, Kyu Chang Won2.
Abstract
Impaired β-cell function is the key pathophysiology of type 2 diabetes mellitus, and chronic exposure of nutrient excess could lead to this tragedy. For preserving β-cell function, it is essential to understand the cause and mechanisms about the progression of β-cells failure. Glucotoxicity, lipotoxicity, and glucolipotoxicity have been suggested to be a major cause of β-cell dysfunction for decades, but not yet fully understood. Fatty acid translocase cluster determinant 36 (CD36), which is part of the free fatty acid (FFA) transporter system, has been identified in several tissues such as muscle, liver, and insulin-producing cells. Several studies have reported that induction of CD36 increases uptake of FFA in several cells, suggesting the functional interplay between glucose and FFA in terms of insulin secretion and oxidative metabolism. However, we do not currently know the regulating mechanism and physiological role of CD36 on glucolipotoxicity in pancreatic β-cells. Also, the downstream and upstream targets of CD36 related signaling have not been defined. In the present review, we will focus on the expression and function of CD36 related signaling in the pancreatic β-cells in response to hyperglycemia and hyperlipidemia (ceramide) along with the clinical studies on the association between CD36 and metabolic disorders.Entities:
Keywords: CD36 antigens; Ceramides; Diabetes mellitus, type 2; Fatty acids; Hyperglycemia; Inflammation; Insulin-secreting cells; Oxidative stress; Reactive oxygen species
Mesh:
Substances:
Year: 2020 PMID: 32347024 PMCID: PMC7188969 DOI: 10.4093/dmj.2020.0053
Source DB: PubMed Journal: Diabetes Metab J ISSN: 2233-6079 Impact factor: 5.376
Fig. 1Cluster determinant 36 (CD36) structure and post-translational modifications. CD36 has two transmembrane domains and two small cytoplasmic tails that contain four palmitoylation sites. The C-terminus contains two ubiquitylation sites and the N-terminal transmembrane domain contains two motifs (G12xxxG16xxxA20 and A20xxG23) that are responsible for dimerization. The large extracellular loop contains 10 N-linked glycosylation sites and two phosphorylation sites. There are two binding entrance in extracellular domain: the one is hydrophobic pocket bind with a variety of ligands, and the other is for fatty acid transport. CLESH, CD36, LIMP-2, Emp sequence homology.
Fig. 2Cluster determinant 36 (CD36)-induced signal transduction and damage in pancreatic β-cells, and its mechanisms. Binding of a variety of ligands to CD36 on the plasma membrane initiates the assembly of a redoxosome (Src-Rac1-nicotinamide adenine dinucleotide phosphate [NADPH] oxidase) complex. Redoxosome activation induces c-Jun N-terminal kinases (JNK) activation, thereby leading to p66Shc mediated mitochondrial peroxiredoxin-3 oxidation via thioredoxin-2 downregulation. Moreover, this complex activates nuclear factor κB (NF-κB) which in turn contributes to the impaired mitochondrial defense leads to pancreatic β-cell failure. Besides future studies are warranted to examine the relationship between CD36 and nucleotide-binding domain leucine-rich repeat (NLR) and pyrin domain containing protein 3 (NLRP3) inflammasome activation in the pancreatic β-cell dysfunction and failure. Activation of CD36 signaling by oxidized low-density lipoprotein (OX-LDL) initiates the activation of the signalosome complex and inflammatory programs such as the production of reactive oxygen species (ROS) and p66Shc contribute to the pathogenic pathway that links to β-cell dysfunction and failure. GTP, guanosine triphosphate; NOX, nicotinamide adenine dinucleotide phosphate (NADPH) oxidase; TXNIP, thioredoxin-interacting protein.
Clinical studies of the association between sCD36 and cardio-metabolic disorders
| Study | Study design; population and sample size; f/u periods if applicable | Adjustments considered | Main findings |
|---|---|---|---|
| Handberg et al. (2012) [ | Multicenter cross-sectional study; nondiabetic subjects ( | Study center, age, sex, smoking, alcohol, and glucose tolerance status | Plasma sCD36 is associated with insulin resistance, carotid atherosclerosis and fatty liver. |
| Handberg et al. (2006) [ | Cross-sectional study; healthy lean ( | NA | Plasma sCD36 is associated with insulin resistance and glycemic control. |
| Glintborg et al. (2008) [ | Prospective cohort study; reproductive age women with PCOS ( | NA | Pioglitazone treatment reduced plasma sCD36 and improved insulin sensitivity. |
| Wang et al. (2009) [ | Prospective cohort study; community-based subjects ( | Age, sex, smoking, alcohol, physical activity, education, and diabetes | Plasma sCD36 is associated with adiposity (both subcutaneous and visceral), but not with liver fat content or non-alcoholic fatty liver disease. |
| Kim et al. (2017) [ | Cross-sectional study; normal glucose tolerance ( | Age, sex, BMI, blood pressure, smoking, alcohol, non-HDL-C, and hs-CRP | Plasma sCD36 index (ln [sCD36 (pg/mL)× FPG (mg/dL)/2]) is associated with the prevalence of T2DM. |
| Pardina et al. (2017) [ | Observational study; obese subjects undergoing bariatric surgery ( | NA | Bariatric surgery-induced weight loss downregulated hepatic CD36 expression |
| Botha et al. (2018) [ | Observational study; obese subjects undergoing bariatric surgery ( | NA | Bariatric surgery reduced the levels of CD36-bearing microvesicles of monocyte and endothelial origin. |
| Al Dubayee et al. (2018) [ | Cross-sectional study; healthy lean ( | NA | mRNA expression of CD36 in peripheral blood mononuclear cells was increased in T2DM subjects, and metformin treatment reverted CD36 to levels comparable to lean subjects. |
| Shiju et al. (2015) [ | Cross-sectional study; normal glucose tolerance ( | NA | Urine and plasma sCD36 is associated with diabetic nephropathy. |
| Castelblanco et al. (2019) [ | Cross-sectional study; nondiabetic ( | Age, sex, hypertension, dyslipidemia, hematocrit, platelets | Plasma sCD36 showed only a weak association with T2DM and no association with T1DM |
| Wang et al. (2020) [ | Case-cohort study; T2DM cases ( | Age, sex, smoking, alcohol, physical activity, and education | Plasma sCD36 is associated with T2DM risk, but not independent of adiposity. |
| Jiang et al. (2017) [ | Cross-sectional study; T2DM subjects ( | Age, sex, education, duration of T2DM, and hypertension | Plasma sCD36 is associated with carotid IMT in T2DM. |
| Handberg et al. (2008) [ | Cross-sectional study; subjects with high-grade internal carotid stenosis ( | NA | Plasma sCD36 is increased in patients with symptomatic or instable carotid plaques. |
| Wang et al. (2018) [ | Case-cohort study; incident CHD cases ( | Age, sex, BMI, smoking, alcohol, physical activity, education, self-reported hypercholesterolemia, and diabetes. | Plasma sCD36 is not associated with CHD risk in the total population. |
f/u, follow-up; sCD36, soluble cluster determinant 36; T2DM, type 2 diabetes mellitus; NA, not applicable; PCOS, polycystic ovary syndrome; BMI, body mass index; HDL-C, high-density lipoprotein cholesterol; hs-CRP, high sensitivity C-reactive protein; T1DM, type 1 diabetes mellitus; IMT, intima-media thickness; CHD, coronary heart disease.