Direct associations between hyperglycemia and atherosclerosis remain unclear. We investigated the association between the amelioration of glycemia by sodium-glucose cotransporter 2 inhibitors (SGLT2is) and macrophage-driven atherosclerosis in diabetic mice. We administered dapagliflozin or ipragliflozin (1.0 mg/kg/day) for 4-weeks to apolipoprotein E-null (Apoe-/-) mice, streptozotocin-induced diabetic Apoe-/- mice, and diabetic db/db mice. We then determined aortic atherosclerosis, oxidized low-density lipoprotein (LDL)-induced foam cell formation, and related gene expression in exudate peritoneal macrophages. Dapagliflozin substantially decreased glycated hemoglobin (HbA1c) and glucose tolerance without affecting body weight, blood pressure, plasma insulin, and lipids in diabetic Apoe-/- mice. Aortic atherosclerotic lesions, atheromatous plaque size, and macrophage infiltration in the aortic root increased in diabetic Apoe-/- mice; dapagliflozin attenuated these changes by 33%, 27%, and 20%, respectively. Atherosclerotic lesions or foam cell formation highly correlated with HbA1c. Dapagliflozin did not affect atherosclerosis or plasma parameters in non-diabetic Apoe-/- mice. In db/db mice, foam cell formation increased by 4-fold compared with C57/BL6 mice, whereas ipragliflozin decreased it by 31%. Foam cell formation exhibited a strong correlation with HbA1c. Gene expression of lectin-like ox-LDL receptor-1 and acyl-coenzyme A:cholesterol acyltransferase 1 was upregulated, whereas that of ATP-binding cassette transporter A1 was downregulated in the peritoneal macrophages of both types of diabetic mice. SGLT2i normalized these gene expressions. Our study is the first to demonstrate that SGLT2i exerts anti-atherogenic effects by pure glucose lowering independent of insulin action in diabetic mice through suppressing macrophage foam cell formation, suggesting that foam cell formation is highly sensitive to glycemia ex vivo.
Direct associations between hyperglycemia and atherosclerosis remain unclear. We investigated the association between the amelioration of glycemia by sodium-glucose cotransporter 2 inhibitors (SGLT2is) and macrophage-driven atherosclerosis in diabeticmice. We administered dapagliflozin or ipragliflozin (1.0 mg/kg/day) for 4-weeks to apolipoprotein E-null (Apoe-/-)mice, streptozotocin-induced diabeticApoe-/- mice, and diabetic db/db mice. We then determined aortic atherosclerosis, oxidized low-density lipoprotein (LDL)-induced foam cell formation, and related gene expression in exudate peritoneal macrophages. Dapagliflozin substantially decreased glycated hemoglobin (HbA1c) and glucose tolerance without affecting body weight, blood pressure, plasma insulin, and lipids in diabeticApoe-/- mice. Aortic atherosclerotic lesions, atheromatous plaque size, and macrophage infiltration in the aortic root increased in diabeticApoe-/- mice; dapagliflozin attenuated these changes by 33%, 27%, and 20%, respectively. Atherosclerotic lesions or foam cell formation highly correlated with HbA1c. Dapagliflozin did not affect atherosclerosis or plasma parameters in non-diabeticApoe-/- mice. In db/db mice, foam cell formation increased by 4-fold compared with C57/BL6 mice, whereas ipragliflozin decreased it by 31%. Foam cell formation exhibited a strong correlation with HbA1c. Gene expression of lectin-like ox-LDL receptor-1 and acyl-coenzyme A:cholesterol acyltransferase 1 was upregulated, whereas that of ATP-binding cassette transporter A1 was downregulated in the peritoneal macrophages of both types of diabeticmice. SGLT2i normalized these gene expressions. Our study is the first to demonstrate that SGLT2i exerts anti-atherogenic effects by pure glucose lowering independent of insulin action in diabeticmice through suppressing macrophage foam cell formation, suggesting that foam cell formation is highly sensitive to glycemia ex vivo.
Diabetes accelerates the clinical course of atherosclerosis, a condition associated with arterial endothelial dysfunction and several metabolic abnormalities, can create a pro-inflammatory environment, and can induce foam cell formation of macrophages [1-3]. Because atherosclerosis is accelerated in both type 1 and type 2 diabetes [4-6], it is reasonable to assume that hyperglycemia plays a major role in the pathogenesis of diabetes-induced atherosclerosis. While, patients with metabolic syndrome or pre-diabetes without significant hyperglycemia often develop atherosclerotic cardiovascular events [7-9]. However, it remains unclear whether hyperglycemia contributes to the development of atherosclerosis in diabetes because many risk factors change with the impairment of insulin action. There have been numerous in vitro studies that have examined the toxic effects of high glucose levels on vascular and inflammatory cells related to atherosclerotic lesions [10-12]. However, studies on cultured cells have provided only hypothesis-generating results that need to be evaluated in in vivo studies.Recently, sodium-glucose cotransporter 2 inhibitors (SGLT2is) have been developed as novel therapeutic agents for the treatment of patients with type 2 diabetes. These drugs inhibit the reabsorption of glucose in the proximal tubules of the kidney, leading to increased urinary glucose excretion and amelioration of hyperglycemia in patients with diabetes [13-16]. This simple mechanism for lowering glucose levels does not directly influence any insulin-related metabolic changes. This agent could be a useful tool to study the direct relationship between glycemia and atherosclerosis independent of insulin secretion and action in vivo. The acceleration of atherosclerosis is influenced by abnormalities in cellular cholesterol homeostasis, which is demonstrated by the subendothelial accumulation of lipid-laden macrophage foam cells. The accumulated foam cells in the subendothelial space create lipid-rich plaque, which is an initial process of atherosclerosis [1-3]. There have been several in vitro studies that have revealed that high glucose levels enhance foam cell formation in cultured macrophages [17, 18]; however, it remains unclear whether foam cell formation measured ex vivo reflects atherosclerotic lesions. Foam cell formation is regulated by several factors: 1) scavenger receptors, such as CD36 and lectin-like ox- low-density lipoprotein (LDL) receptor-1 (Lox-1) [1], 2) acyl-coenzyme A:cholesterol acyltransferase 1 (ACAT1), a rate-limiting enzyme for the esterification of cholesterol [1], and 3) free-cholesterol efflux mediated by ATP-binding cassette transporter A1 (ABCA1) and ATP-binding cassette sub-family G member 1 (ABCG1) [1]. Several in vitro studies have revealed that scavenger receptors were upregulated and that either ABCA1 or ABCG1 was downregulated in high glucose conditions [19, 20]. The aim of the present study was to evaluate the effect of the amelioration of hyperglycemia by SGLT2i on the development of aortic atherosclerotic lesions, macrophage foam cell formation, and related molecules in type 1 and type 2 diabeticmice.
Materials and Methods
Chemicals and reagents
Streptozotocin (STZ) was purchased from Sigma-Aldrich (Saint-Louis, MO, USA). Dapagliflozin and ipragliflozin were kindly gifted from AstraZeneca (Gaithersburg, MD, USA) and Astellas Pharma, Inc. (Tokyo, Japan), respectively.
Animal experiments
This study was conducted in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. The protocol was approved by the Institutional Animal Care and Use Committee of Showa University (Permit Number: 04090). All surgeries and sacrifice were performed under general anesthesia using isoflurane, and all efforts were made to minimize suffering. The health condition of all mice was carefully checked every day by us or animal experts in the animal facility of Showa University School of Medicine.
Experiment #1
A total of forty-five male apolipoprotein E-null (Apoe
) mice were purchased from Sankyo Labo Service (Tokyo, Japan) at the age of 9 weeks and were kept on a standard rodent chow until the age of 15 weeks. From 15 weeks of age, the animals received intraperitoneal injections of saline or streptozotocin (50 mg/kg/day) for 5 consecutive days to create a type 1 diabetes model, according to the method described by Takeda et al [21]. Adverse effects of STZ injection in mice has been reported as follows: weight loss, respiratory distress, rapid glycemic shifts resulting in life-threatening hypoglycemia, and a generalized poor body condition [22]. In our protocol, a mouse that lost weight by more than 20% from the baseline, or that showed obvious weakness undergoes euthanasia with CO2 exposure to avoid severe pain or distress. Three mice found dead in their cages within 7 days since the last injection of STZ. The other mice did not show any clinical signs including severe weight loss or obvious weakness. The fasting blood glucose (FBG) levels were measured 10 days after the last injection via a tiny cut in the tail vein using the glucose monitoring system (Nipro StatStrip; Nipro Corporation, Osaka, Japan). All survived mice showed fasting blood glucose levels higher than 200 mg/dL, and were enrolled in this experiment as diabeticmice. At the age of 17 weeks, both non-diabetic and diabeticmice were switched to an atherogenic diet containing 30% fat, 20% sucrose, 8% NaCl, and 0.15% cholesterol (Oriental Yeast, Tokyo, Japan) [23-26] and randomly assigned to vehicle or SGLT2i treatment. The SGLT2i (dapagliflozin) was given via drinking water at a dose of 1.0 mg/kg/day. After 4 weeks of this treatment, peritoneal macrophages were harvested, and the mice were sacrificed to collect the aorta under general anesthesia with isoflurene.
Experiment #2
Thirty-one male db/db mice (a mouse model of type 2 diabetes) and seven male C57/BL6 (wild type) mice were purchased from Sankyo Labo Service at the age of 6 weeks and kept on standard rodent chow. All db/db mice developed diabetes at the age of 8 weeks with FBG levels above 200 mg/dL. Starting from the age of 9 weeks, the diabetic db/db mice were given standard rodent chow with or without diet containing the SGLT2i (ipragliflozin) at the dose of 1.0 mg/kg/day for 4 weeks. The wild-type mice were kept on standard rodent chow; they were used as the control model during the same period. At the end of the treatment period, we collected peritoneal macrophages.
Measurements
Glycated hemoglobin (HbA1c) levels were measured through a cut in the tail vein using the quick test A1C Now Plus (Bayer, Frankfurt, Germany) before sacrificing the animals. The blood samples were collected after a 6-h fast. The plasma levels of glucose, total cholesterol, high-density lipoprotein (HDL) cholesterol, and triglyceride were measured by enzymatic methods (WAKO, Osaka, Japan). We had previously reported that dipeptidyl peptidase-4 inhibitor elevated active glucagon-like peptide-1 (GLP-1) and total glucose-dependent insulinotropic polypeptide (GIP), that prevented the acceleration of atherosclerosis by suppressing foam cell formation in Apoemice [22, 23]. Therefore, we measured the endogenous incretin levels in this study. The plasma levels of insulin, active GLP-1, and total GIP were determined by enzyme-linked immunosorbent assay (ELISA) (Ultra-sensitive mouseinsulin ELISA kit from Morinaga, Kanagawa, Japan; GLP-1 (active) ELISA and Rat/MouseGIP (total) ELISA from EMD Millipore (Billerica, MA, USA).
Oral glucose tolerance test (OGTT)
Glucose (0.5 g/kg body weight) was orally administered through a gavage tube after 6 h of fasting, and the blood glucose levels were measured at the specified time points of 0 (pre-glucose/fasting glucose level) and at 15, 30, 60, and 120 min after using the Nipro StatStrip. The area under the curve (AUC) was calculated as the area under the glucose curve from 0 to 120 min multiplied by the minutes at the measured time points.
Blood pressure measurement
Blood pressure and pulse were measured on the day of sacrifice in the fasting state using the tail-cuff method (Model MK-2000ST, Muromachi-Kikai, Tokyo, Japan).
Atherosclerotic lesion assessment
The whole aorta was washed with perfused phosphate buffered saline (PBS) and fixed with 4% paraformaldehyde (wt/vol). After surrounding connective and adipose tissues were carefully removed, the aorta was longitudinally dissected and excised from the root to the bifurcation of the iliac artery. The entire aorta and cross-sections of the aortic root were stained with oil red O for the assessment of atherosclerotic lesions [23-27]. Macrophage infiltration into the aortic wall was visualized using anti-mouse MOMA-2 antibody staining [23-27]. The en face oil red O positive area was traced by an investigator that was blind to the treatment and measured using an image analyzer (Adobe Photoshop, San Jose, CA, USA; Image J Software, Bethesda, MD, USA). The severity of atheromatous plaques and lesion area of macrophage infiltration were assessed as the sum of stained areas in the aortic root [23-27].
Cell culture
Four days after the intraperitoneal injection of 4 mL of aged autoclaved thioglycolate broth, exudate peritoneal cells were isolated from treated non-diabetic or diabeticApoemice at 21 weeks of age or from diabetic db/db mice at 13 weeks of age using a peritoneal lavage with 8 mL of ice-cold PBS [23-26]. The cells were suspended in a culture medium (RPMI-1640 supplemented with 10% FBS, streptomycin, and penicillin) and seeded onto 3.5-cm dishes (3×106 cells/dish) for either a reverse transcription polymerase chain reaction (RT-PCR) or a cholesterol esterification assay. After 1 h of incubation at 37°C in a 5% CO2 incubator to allow cell adhesion to the dish, the medium was discarded to remove any non-adherent cells, and the adherent cells were identified as peritoneal macrophages [23-26].
Cholesterol esterification assay
The adherent macrophages were incubated for 18 h in the RPMI-1640 medium that contained 10 μg/mL human oxidized (ox)-LDL with 0.1 mmol/L [3H]oleate conjugated with bovineserum albumin. The cellular lipids were extracted and the radioactivity of the cholesterol [3H]oleate was determined with thin-layer chromatography [23-26].
Gene expression
Total RNA was extracted from peritoneal macrophages using a commercially available kit (QIAGEN; Hilden, Germany). The gene expressions were assessed by real-time RT-PCR using the TaqMan gene expression assay and a sequence detection system (ABI PRISM 7900, Life Technologies, Carlsbad, CA, USA), which used cDNA synthesized from isolated RNA samples to detect the expression of target genes, such as Lox-1; Mm00454586_m1, CD36; Mm01135198_ml, ACAT1; Mm00507463_ml, ABCA1; Mm00442646_ml, and ABCG1; Mm00437390_m1. TaqMan gene expression assays for mouseglyceraldehyde-3-phosphate dehydrogenase (GAPDH) was purchased from Life Technologies. The levels of these gene expressions were normalized using GAPDH as an internal control.
Statistical analysis
All values are expressed as mean ± standard error of mean (SEM). We used one-way analysis of variance (ANOVA) followed by Tukey test for the comparison of more than two groups and the unpaired t-test for the comparison of two groups. The correlation between two valuables was determined using Pearson’s correlation test. Statistical calculations were performed using JMP software (Version 11; SAS Institute Inc., Cary, NC, USA). The significance level was defined as p < 0.05.
Results
Characteristics and laboratory data
Table 1 shows the characteristics and laboratory data from four groups of non-diabetic and diabeticApoe
−/− mice that did or did not receive SGLT2i (dapagliflozin) (Experiment #1). Although the systolic blood pressure (SBP) was slightly decreased in dapagliflozin-treated diabeticApoe
−/− mice, this change was not statistically significant. Non-diabeticApoe
−/− mice that received dapagliflozin, diabeticmice that received vehicle, and diabeticmice that received dapagliflozin consumed 1.4–1.7 times more drinking water and produced 1.7–2.6 times more urine than non-diabeticmice that received vehicle. These diabeticApoe
−/− mice exhibited the classical features of STZ-induced insulin-deficient type 1 diabetes, such as severe hyperglycemia, hyperphagia, low body weight gain, and low insulin concentration. Based on our preliminary experiments with the same protocol used in the present study, we expected a successful induction rate of diabetes in more than 90% of mice, and a mortality rate including euthanasia in less than 10%. In the present study, all the mice except for three dead ones developed diabetes, showing the successful rate of 93% and the mortality rate of 7%. There is one previous study, which used the same administration protocol as ours, reporting the mortality rate of approximately 8% [28], which are comparable with our results. The diabeticmice that received vehicle had slightly elevated levels of total cholesterol compared with their non-diabetic counterparts but this was not statistically significant. DiabeticApoe
−/− mice lost 10% (p < 0.05) of their body weight compared with non-diabeticApoe
−/− mice. In diabeticApoe
−/− mice, dapagliflozin had no effect on insulin levels after 6 h of fasting, but it significantly decreased FBG levels from 417 ± 31 mg/dL to 134 ± 18 mg/dL and HbA1c levels from 8.2% ± 0.3% to 5.8% ± 0.3%. However, there were no changes in the plasma levels of active GLP1, total GIP, total cholesterol, triglyceride, and HDL cholesterol among the groups.
Table 1
Characteristics and laboratory data from four groups of non-diabetic Apoe
−/− mice and STZ-induced diabetic Apoe
−/− mice treated with or without dapagliflozin.
Apoe−/− mice
Diabetic Apoe−/− mice
Vehicle
Dapagliflozin
Vehicle
Dapagliflozin
Number
14
6
15
7
Final body weight (g)
28.3 ± 3.0
28.4 ± 2.4
25.4 ± 1.7 a,b
25.6 ± 1.7 a,b
Food intake (g/day)
6.9 ± 0.6
8.1 ± 0.7 a
8.3 ± 0.9 a
8.2 ± 0.7 a
Water intake (mL/day)
10.4 ± 0.8
14.2 ± 1.0 a
15.8 ± 2.1 a
17.2 ± 1.5 a
Urine volume (mL/day)
6.9 ± 0.9
11.9 ± 1.2 a
14.1 ± 1.8 a
18.1 ± 1.7 a
SBP (mmHg)
101 ± 4
100 ± 6
100 ± 5
91 ± 6
Pulse (/min)
515 ± 28
498 ± 24
535 ± 19
511 ± 21
Glucose (mg/dL)
117 ± 18
136 ± 16
417 ± 31 a,b
134 ± 18 c
HbA1c (%)
4.6 ± 0.1
4.6 ± 0.1
8.2 ± 0.3 a,b
5.8 ± 0.3 a,b,c
Insulin (ng/mL)
0.99 ± 0.06
0.78 ± 0.16
0.24 ± 0.06 a,b
0.26 ± 0.05 a,b
Total-C (mg/dL)
523 ± 71
486 ± 56
662 ± 66
580 ± 27
HDL-C (mg/dL)
13 ± 2
14 ± 2
10 ± 1
9 ± 2
Triglyceride (mg/dL)
58 ± 9
49 ± 12
71 ± 15
45 ± 8
Active GLP-1 (pmol/L)
3.9 ± 0.6
5.0 ± 1.2
6.0 ± 0.7
4.1 ± 0.8
Total GIP (pmol/L)
41 ± 5
62 ± 29
30 ± 4
42 ± 5
Non-diabetic mice that received vehicle, non-diabetic mice that received dapagliflozin, diabetic mice that received vehicle, diabetic mice that received dapagliflozin were measured. The values show mean ± SEM. dapagliflozin, sodium glucose co-transporter 2 inhibitor; SBP, systolic blood pressure; HbA1c, hemoglobin A1c; Total-C, total cholesterol; HDL-C, high-density lipoprotein cholesterol; GLP-1, glucagon like peptide-1; GIP, glucose-dependent insulinotropic polypeptide. One-way ANOVA followed by Tukey test:
a,
p < 0.05 vs. non-diabetic mice that received vehicle;
b,
p < 0.05 vs. non-diabetic mice that received dapagliflozin;
c,
p < 0.05 vs. diabetic mice that received vehicle.
Non-diabeticmice that received vehicle, non-diabeticmice that received dapagliflozin, diabeticmice that received vehicle, diabeticmice that received dapagliflozin were measured. The values show mean ± SEM. dapagliflozin, sodium glucose co-transporter 2 inhibitor; SBP, systolic blood pressure; HbA1c, hemoglobin A1c; Total-C, total cholesterol; HDL-C, high-density lipoprotein cholesterol; GLP-1, glucagon like peptide-1; GIP, glucose-dependent insulinotropic polypeptide. One-way ANOVA followed by Tukey test:a,
p < 0.05 vs. non-diabeticmice that received vehicle;b,
p < 0.05 vs. non-diabeticmice that received dapagliflozin;c,
p < 0.05 vs. diabeticmice that received vehicle.Table 2 shows the metabolic parameters of diabetic db/db mice with or without SGLT2i (ipragliflozin) compared with wild-type mice (Experiment #2). As a result of severe hyperglycemia, diabetic db/db mice consumed approximately 1.3 times more drinking water, had approximately 1.4 times more food intake, and passed 2 times the urine volume compared with wild-type mice. These diabetic db/db mice exhibited the classical features of type 2 diabetes, such as severe hyperglycemia, high insulin concentrations, and high lipid profiles (total cholesterol, HDL cholesterol, and triglyceride). In diabetic db/db mice, SBP was lower in the ipragliflozin-treated group, but this change was not statistically significant. After ipragliflozin treatment, mice consumed approximately 2.4 times more drinking water and produced approximately 1.6 times more urine than those that received vehicle. These diabetic db/db mice that received ipragliflozin lost 6% (p < 0.05) of their body weight compared with those that received vehicle. Ipragliflozin significantly decreased HbA1c levels from 8.0% ± 0.2% to 6.4% ± 0.3% and FBG levels from 326 ± 32 mg/dL to 180 ± 29 mg/dL. There were no changes in the plasma levels of active GLP1, total GIP, total cholesterol, HDL cholesterol, and triglyceride with or without ipragliflozin treatment in diabetic db/db mice.
Table 2
Characteristics and laboratory data from three groups of diabetic db/db mice with or without ipragliflozin, and wild-type mice that received vehicle.
C57/BL6 mice
Diabetic db/db mice
Vehicle
Vehicle
Ipragliflozin
Number
7
18
13
Final body weight (g)
25.2±0.3
49.6 ± 0.6 a
46.8 ± 0.7 a,b
Food intake (g/day)
3.1±0.2
4.4 ± 0.3 a
4.8 ± 0.4 a
Water intake (mL/day)
3.2±0.3
4.0 ± 0.4
9.4 ± 1.1 a,b
Urine volume (mL/day)
3.8±0.4
7.6±0.3 a
12.5 ±1.2 a,b
SBP (mmHg)
102±5
109 ± 2
104 ± 3
Pulse (/min)
546±21
609± 19
633± 13
Glucose (mg/dL)
101±11
326 ± 32 a
180±29 a,b
HbA1c (%)
4.2±0.1
8.0 ± 0.2 a
6.4 ± 0.3 a,b
Insulin (ng/mL)
0.63±0.17
6.36±0.62 a
5.75± 0.9 a
Total-C (mg/dL)
78±8
134 ± 8 a
171± 19 a
HDL-C (mg/dL)
30±4
63± 8 a
55±6 a
Triglyceride (mg/dL)
20±3
67±7 a
60±8 a
Active GLP-1 (pmol/L)
1.67±0.2
3.13±0.05 a
3.7 ± 0.9 a
Total GIP (pmol/L)
24.5±3.9
51.2±5.5 a
45.4±9.9 a
Non-diabetic wild-type mice that received vehicle, diabetic db/db mice that received vehicle, diabetic db/db mice that received ipragliflozin were measured. The values show mean ± SEM. Ipragliflozin, sodium glucose co-transporter 2 inhibitor.
One-way ANOVA followed by Tukey test:
a,
p < 0.05 vs. wild-type mice that received vehicle;
b,
p < 0.05 vs. diabetic db/db mice that received ipragliflozin.
Non-diabetic wild-type mice that received vehicle, diabetic db/db mice that received vehicle, diabetic db/db mice that received ipragliflozin were measured. The values show mean ± SEM. Ipragliflozin, sodium glucose co-transporter 2 inhibitor.One-way ANOVA followed by Tukey test:a,
p < 0.05 vs. wild-type mice that received vehicle;b,
p < 0.05 vs. diabetic db/db mice that received ipragliflozin.
Glucose tolerance
In a subset of animals, OGTT was conducted to determine glucose tolerance (Fig 1). DiabeticApoemice had a significantly higher glucose loading after OGTT and AUC (975 ± 46 mg/dL×h) than non-diabeticApoemice (AUC; 356 ± 20 mg/dL×h). The treatment with dapagliflozin improved glucose loading after OGTT and improved AUC (291 ± 16 mg/dL×h) in diabeticApoemice compared with those that received vehicle. In diabetic db/db mice, mice treated with ipragliflozin had significantly lower glucose loading after OGTT and a lower AUC (637 ± 28 mg/dL×h) compared with those that received vehicle (AUC; 1255 ± 108 mg/dL×h) as well.
Fig 1
Oral glucose tolerance test.
Glucose (0.5 g/kg body weight) was administered orally through a gavage tube after 6 h of fasting, and blood glucose levels were measured at the specified time points of 0 (pre-glucose/fasting glucose level), and at 15, 30, 60, and 120 min after administration. Glucose curve after oral glucose loading in non-diabetic and diabetic apolipoprotein E-null mice (Apoe
) mice that received vehicle or dapagliflozin (A), and the area under the curve (AUC) (B). Glucose curve after oral glucose loading in diabetic db/db mice that received vehicle or ipragliflozin (C), and the AUC (D). The data are expressed as mean ± SEM. One-way analysis of variance (ANOVA) followed by Tukey test for the comparison of Apoe
mice: a, p < 0.05 vs. non-diabetic Apoe
mice that received vehicle; b, p < 0.05 vs. non-diabetic Apoe
mice that received dapagliflozin; c, p < 0.05 vs. diabetic Apoe
mice that received dapagliflozin. Unpaired t-test for the comparison of db/db mice: d, p < 0.05 vs. vehicle. n = 5 per group. †
p < 0.01, ‡
p < 0.001.
Oral glucose tolerance test.
Glucose (0.5 g/kg body weight) was administered orally through a gavage tube after 6 h of fasting, and blood glucose levels were measured at the specified time points of 0 (pre-glucose/fasting glucose level), and at 15, 30, 60, and 120 min after administration. Glucose curve after oral glucose loading in non-diabetic and diabeticapolipoprotein E-null mice (Apoe
) mice that received vehicle or dapagliflozin (A), and the area under the curve (AUC) (B). Glucose curve after oral glucose loading in diabetic db/db mice that received vehicle or ipragliflozin (C), and the AUC (D). The data are expressed as mean ± SEM. One-way analysis of variance (ANOVA) followed by Tukey test for the comparison of Apoemice: a, p < 0.05 vs. non-diabeticApoemice that received vehicle; b, p < 0.05 vs. non-diabeticApoemice that received dapagliflozin; c, p < 0.05 vs. diabeticApoemice that received dapagliflozin. Unpaired t-test for the comparison of db/db mice: d, p < 0.05 vs. vehicle. n = 5 per group. †
p < 0.01, ‡
p < 0.001.
Atherosclerotic lesions assessment
Atherosclerotic lesions were significantly accelerated in diabeticApoemice. The surface areas of atherosclerotic lesions, atheromatous plaque size, and macrophage infiltration in the aortic root were increased by 78%, 150%, and 82% compared with those in non-diabeticApoemice, suggesting the importance of hyperglycemia as an enhancer of atherosclerotic lesion formation. DiabeticApoemice treated with dapagliflozin showed significant reductions in the surface areas of atherosclerotic lesions (33%, p < 0.001), in atheromatous plaque size (27%, p < 0.001), and in macrophage infiltration (20%, p < 0.01) compared with those that received vehicle. In contrast, dapagliflozin did not show any effect on atherosclerosis in non-diabeticApoemice (Fig 2).
Fig 2
Suppressive effects of dapagliflozine administration against the development of aortic atherosclerotic lesions in non-diabetic and diabetic Apoe
mice.
Twenty-two mice at 15 weeks of age were made diabetic with peritoneal injections of STZ (50 mg/kg/day) for 5 consecutive days and twenty mice were treated with saline. The 17-week-old non-diabetic and diabetic Apoe
mice were orally given SGLT2i (dapagliflozin) or vehicle for 4 weeks, starting from 17 weeks of age. Representative atherosclerotic lesions in the aortic surface stained with oil red O (a-d) and measured (m). Yellow arrows show notable atherosclerotic lesions. In the aortic root, the atheromatous plaques and monocyte/macrophage accumulations were stained with Oil red O (e-h) or anti-MOMA2 antibody (i-l). Black arrows show notable atheromatous plaques. The severity of atheromatous plaques (n) and degree of monocyte/macrophage accumulation (o) were evaluated. The data are expressed as mean ± SEM. One way ANOVA followed by Tukey test: †
p < 0.01, ‡
p < 0.001, §
p < 0.0001.
Suppressive effects of dapagliflozine administration against the development of aortic atherosclerotic lesions in non-diabetic and diabetic Apoe
mice.
Twenty-two mice at 15 weeks of age were made diabetic with peritoneal injections of STZ (50 mg/kg/day) for 5 consecutive days and twenty mice were treated with saline. The 17-week-old non-diabetic and diabeticApoemice were orally given SGLT2i (dapagliflozin) or vehicle for 4 weeks, starting from 17 weeks of age. Representative atherosclerotic lesions in the aortic surface stained with oil red O (a-d) and measured (m). Yellow arrows show notable atherosclerotic lesions. In the aortic root, the atheromatous plaques and monocyte/macrophage accumulations were stained with Oil red O (e-h) or anti-MOMA2 antibody (i-l). Black arrows show notable atheromatous plaques. The severity of atheromatous plaques (n) and degree of monocyte/macrophage accumulation (o) were evaluated. The data are expressed as mean ± SEM. One way ANOVA followed by Tukey test: †
p < 0.01, ‡
p < 0.001, §
p < 0.0001.
Foam cell formation in exudate peritoneal macrophages
The number of exudate peritoneal cells and morphological cell characteristics did not differ significantly among the groups. The ox-LDL-induced cholesterol ester accumulation, which indicated the degree of foam cell formation, was approximately 3–4 folds higher in macrophages obtained from both types of diabeticmice than in those obtained from non-diabeticmice (p < 0.0001; Fig 3A and 3B). This increased cholesterol ester (CE) accumulation in diabeticApoemice was significantly suppressed with dapagliflozin treatment (34%, p < 0.001; Fig 3A). Similarly, ipragliflozin administration significantly reduced cholesterol ester accumulation in macrophages from diabetic db/db mice (31%, p < 0.001; Fig 3B).
Fig 3
Foam cell formation in exudate peritoneal macrophages obtained from non-diabetic and diabetic Apoe
mice (A), and diabetic db/db mice (B).
Four days after an intraperitoneal injection of thioglycolate, the exudated peritoneal cells were isolated from the treated non-diabetic and diabetic Apoe
mice at 21 weeks of age (Fig 3A), or from the diabetic db/db mice at 13 weeks of age (Fig 3B). Adherent macrophages were incubated for 18 hours with the RPMI-1640 medium containing 10μg/mL oxidized low-density lipoprotein (LDL) in the presence of 0.1 mmoL [3H]olate that was conjugated with bovine serum albumin. The cellular lipids were extracted and the radioactivity of the cholesterol [3H]olate was determined with thin-layer chromatography. Foam cell formation was expressed as cholesteryl ester (CE) accumulation. The values show mean ± SEM. One-way ANOVA followed by Tukey test: ‡
p < 0.001, §
p < 0.0001.
Foam cell formation in exudate peritoneal macrophages obtained from non-diabetic and diabetic Apoe
mice (A), and diabetic db/db mice (B).
Four days after an intraperitoneal injection of thioglycolate, the exudated peritoneal cells were isolated from the treated non-diabetic and diabeticApoemice at 21 weeks of age (Fig 3A), or from the diabetic db/db mice at 13 weeks of age (Fig 3B). Adherent macrophages were incubated for 18 hours with the RPMI-1640 medium containing 10μg/mL oxidized low-density lipoprotein (LDL) in the presence of 0.1 mmoL [3H]olate that was conjugated with bovineserum albumin. The cellular lipids were extracted and the radioactivity of the cholesterol [3H]olate was determined with thin-layer chromatography. Foam cell formation was expressed as cholesteryl ester (CE) accumulation. The values show mean ± SEM. One-way ANOVA followed by Tukey test: ‡
p < 0.001, §
p < 0.0001.
Correlation between atherosclerosis and glycemic control
To examine the relationship between the development of atherosclerosis and glycemic control, we tested the correlation between atherosclerotic lesions and HbA1c levels. In diabeticApoemice, atherosclerotic lesions highly correlated with HbA1c levels (r = 0.77, p < 0.0001, n = 22). However, no correlation was observed in the non-diabetic group (Fig 4A). In the analysis of the correlation between foam cell formation and atherosclerosis, diabeticApoemice showed a strong correlation (r = 0.95, p < 0.0001, n = 15), while non-diabeticmice did not (Fig 4B). We also evaluated the correlation between the degrees of foam cell formation and glycemic control. The test demonstrated a significant correlation between foam cell formation and HbA1c levels only in diabeticApoemice (r = 0.91, p < 0.0001, n = 15) and in diabetic db/db mice (r = 0.88, p < 0.0001, n = 31) but not in non-diabeticmice (Fig 5A and 5B). In addition, we examined the correlation of atherosclerosis or foam cell formation with various metabolic parameters other than glucose in diabeticApoemice and diabetic db/db mice (Table 3). Body weight, systolic blood pressure, insulin, total cholesterol, or triglyceride did not correlate with the atherosclerotic lesion area or the degree of foam cell formation in either type of diabetic animals.
Fig 4
Correlation of atherosclerosis to glycemic control or foam cell formation in non-diabetic and diabetic Apoe
mice.
Fig 4A shows the correlation between atherosclerosis and HbA1c in non-diabetic and diabetic Apoe
mice. Diabetic mice that received vehicle (n = 15); r = 0.56, p < 0.01. Diabetic mice that received dapagliflozin (n = 7); r = 0.94, p < 0.005. Combined diabetic mice (n = 22); r = 0.77, p < 0.0001. Fig 4B shows the correlation between foam cell formation and atherosclerosis in non-diabetic and diabetic Apoe
mice. Diabetic mice that received vehicle (n = 10); r = 0.91, p < 0.0005. Diabetic mice that received dapagliflozin (n = 5); r = 0.98, p < 0.005. Diabetic mice combined (n = 15); r = 0.95, p < 0.0001. r values indicate Pearson correlation coefficients. Pearson’s correlation test, p < 0.05.
Fig 5
Correlation between foam cell formation and glycemic control in diabetic Apoe
mice (A) or diabetic db/db mice (B).
Fig 5A shows the correlation between foam cell formation and HbA1c in non-diabetic and diabetic Apoe
mice. Diabetic mice that received vehicle (n = 10); r = 0.77, p < 0.01. Diabetic mice that received dapagliflozin (n = 5); r = 0.98, p < 0.005. Combined diabetic mice (n = 15); r = 0.91, p < 0.0001. Fig 5B shows the correlation between foam cell formation and HbA1c in diabetic db/db mice and wild-type (C57/BL6) mice. Diabetic mice that received vehicle (n = 18); r = 0.71, p < 0.001. Diabetic mice that received ipragliflozin (n = 13); r = 0.87, p < 0.0001. Combined diabetic mice (n = 31); r = 0.88, p < 0.0001. r values indicate Pearson correlation coefficients. Pearson’s correlation test, p < 0.05.
Table 3
Correlation of atherosclerosis or foam cell formation to metabolic parameters
Diabetic Apoe−/− mice
Diabetic db/db mice
Atherosclerotic lesions
Foam cell formation
Foam cell formation
(n = 22)
(n = 15)
(n = 31)
r
p value
r
p value
r
p value
Body weight
−0.07
0.74
−0.09
0.74
0.28
0.14
SBP
0.26
0.21
0.34
0.19
0.06
0.79
Insulin
−0.3
0.3
−0.33
0.34
−0.15
0.44
Total-C
0.31
0.12
0.16
0.55
−0.27
0.18
Triglyceride
0.32
0.13
0.24
0.38
2.0
0.29
Total diabetic Apoe
mice that received vehicle or dapagliflozin, total diabetic db/db mice that received vehicle or ipragliflozin were measured.
SBP, systolic blood pressure; BW, body weight; Total-C, total cholesterol. r values indicate Pearson correlation coefficient. p< 0.05.
Correlation of atherosclerosis to glycemic control or foam cell formation in non-diabetic and diabetic Apoe
mice.
Fig 4A shows the correlation between atherosclerosis and HbA1c in non-diabetic and diabeticApoemice. Diabeticmice that received vehicle (n = 15); r = 0.56, p < 0.01. Diabeticmice that received dapagliflozin (n = 7); r = 0.94, p < 0.005. Combined diabeticmice (n = 22); r = 0.77, p < 0.0001. Fig 4B shows the correlation between foam cell formation and atherosclerosis in non-diabetic and diabeticApoemice. Diabeticmice that received vehicle (n = 10); r = 0.91, p < 0.0005. Diabeticmice that received dapagliflozin (n = 5); r = 0.98, p < 0.005. Diabeticmice combined (n = 15); r = 0.95, p < 0.0001. r values indicate Pearson correlation coefficients. Pearson’s correlation test, p < 0.05.
Correlation between foam cell formation and glycemic control in diabetic Apoe
mice (A) or diabetic db/db mice (B).
Fig 5A shows the correlation between foam cell formation and HbA1c in non-diabetic and diabeticApoemice. Diabeticmice that received vehicle (n = 10); r = 0.77, p < 0.01. Diabeticmice that received dapagliflozin (n = 5); r = 0.98, p < 0.005. Combined diabeticmice (n = 15); r = 0.91, p < 0.0001. Fig 5B shows the correlation between foam cell formation and HbA1c in diabetic db/db mice and wild-type (C57/BL6) mice. Diabeticmice that received vehicle (n = 18); r = 0.71, p < 0.001. Diabeticmice that received ipragliflozin (n = 13); r = 0.87, p < 0.0001. Combined diabeticmice (n = 31); r = 0.88, p < 0.0001. r values indicate Pearson correlation coefficients. Pearson’s correlation test, p < 0.05.Total diabeticApoemice that received vehicle or dapagliflozin, total diabetic db/db mice that received vehicle or ipragliflozin were measured.SBP, systolic blood pressure; BW, body weight; Total-C, total cholesterol. r values indicate Pearson correlation coefficient. p< 0.05.
Gene expressions in exudate peritoneal macrophages
To explore molecular changes related to macrophage foam cell formation in a diabetic state, we analyzed the expression of selected genes in peritoneal macrophages. The macrophages from both diabeticApoemice and diabetic db/db mice showed that the expressions of Lox-1, CD36, and ACAT1 were elevated, in contrast the expressions of ABCA1 and ABCG1 were reduced compared with those in non-diabeticmice (p < 0.05; Figs 6 and 7). Dapagliflozin treatment reversed these changes except for CD36 and ABCG1 (p < 0.05; Fig 6). The gene expressions of Lox-1, CD36, and ACAT1 were upregulated, while those of ABCA1 and ABCG1 were downregulated in db/db diabeticmice. Ipragliflozin treatment normalized these abnormal gene expressions that had facilitated foam cell formation (p < 0.05; Fig 7).
Fig 6
Changes in gene expression related to foam cell formation in the macrophages obtained from Apoe
mice.
Gene expressions were measured in the peritoneal macrophages obtained from non-diabetic Apoe
mice (n = 7), diabetic Apoe
mice that received vehicle (n = 6), and those that received dapagliflozin (n = 5). Gene expressions of (A) lectin-like ox-LDL receptor-1 (Lox-1), (B) CD36, (C) acyl-coenzyme A:cholesterol acyltransferase 1 (ACAT1), (D) ATP-binding cassette transporter A1 (ABCA1), and (E) ATP-binding cassette sub-family G member1 (ABCG1) and the association with GAPDH were analyzed by real-time RT-PCR before the addition of ox-LDL. The values show mean ± SEM. One-way ANOVA followed by Tukey test for the comparison of Apoe
mice: *p < 0.05, †
p < 0.01.
Fig 7
Changes in gene expression related to foam cell formation in the macrophages obtained from db/db mice and wild-type mice (C57/BL6).
Gene expressions were measured in the peritoneal macrophages obtained from wild-type (C57/BL6) mice (n = 3), diabetic db/db mice that received vehicle (n = 12), and those that received ipragliflozin (n = 6). Gene expressions of (A) Lox-1, (B) CD36, (C) ACAT1, (D) ABCA1, and (E) ABCG1 in association with GAPDH were analyzed by real-time RT-PCR before the addition of ox-LDL. The values show mean ± SEM. One-way ANOVA followed by Tukey test: *p < 0.05, †
p < 0.01.
Changes in gene expression related to foam cell formation in the macrophages obtained from Apoe
mice.
Gene expressions were measured in the peritoneal macrophages obtained from non-diabeticApoemice (n = 7), diabeticApoemice that received vehicle (n = 6), and those that received dapagliflozin (n = 5). Gene expressions of (A) lectin-like ox-LDL receptor-1 (Lox-1), (B) CD36, (C) acyl-coenzyme A:cholesterol acyltransferase 1 (ACAT1), (D) ATP-binding cassette transporter A1 (ABCA1), and (E) ATP-binding cassette sub-family G member1 (ABCG1) and the association with GAPDH were analyzed by real-time RT-PCR before the addition of ox-LDL. The values show mean ± SEM. One-way ANOVA followed by Tukey test for the comparison of Apoemice: *p < 0.05, †
p < 0.01.
Changes in gene expression related to foam cell formation in the macrophages obtained from db/db mice and wild-type mice (C57/BL6).
Gene expressions were measured in the peritoneal macrophages obtained from wild-type (C57/BL6) mice (n = 3), diabetic db/db mice that received vehicle (n = 12), and those that received ipragliflozin (n = 6). Gene expressions of (A) Lox-1, (B) CD36, (C) ACAT1, (D) ABCA1, and (E) ABCG1 in association with GAPDH were analyzed by real-time RT-PCR before the addition of ox-LDL. The values show mean ± SEM. One-way ANOVA followed by Tukey test: *p < 0.05, †
p < 0.01.
Discussion
This study was the first to demonstrate that SGLT2i prevented the development of atherosclerotic lesions in diabeticApoemice. Moreover, the present study revealed a strong relationship between HbA1c levels and atherosclerotic lesions or macrophage foam cell formation. A strikingly close relationship between atherosclerotic lesions and foam cell formation may suggest a causative role for foam cell formation in atherogenesis. Because diabetic db/db mice do not accelerate visible atherosclerotic lesions, macrophage foam cell formation was used as a surrogate marker for atherosclerosis in this study. We also found that macrophage foam cell formation was substantially increased in diabetic db/db mice and that SGLT2i attenuated this in an HbA1c-dependent manner. To the best of our knowledge, the present study was the first to indicate a strong relationship between glycemia and macrophage foam cell formation ex vivo. The assay for foam cell formation usually requires 2–3 mice to obtain enough peritoneal macrophages for completion. We successfully measured foam cell formation in material obtained from one mouse, which enabled us to determine the individual associations of foam cell formation with HbA1c levels or atherosclerotic lesion area.We used two types of diabeticmice whose insulin secretion and insulin resistance levels were completely in opposition. However, SGLT2i uniformly suppressed macrophage foam cell formation in both mice. Considering the findings in non-obeseSTZ-induced diabeticmice and the nature of this agent, it is reasonable to assume that lowering glucose levels can attenuate atherosclerosis independent of any insulin actions. SGLT2i significantly reduced body weight only in obese db/db mice but not in STZ-induced diabetic lean mice. Because body weight changes were not correlated with foam cell formation in diabetic db/db mice, weight loss itself may not be a major factor for the anti-atherosclerotic effects of SGLT2i. However, there is a possibility that improvement of insulin sensitivity could have indirectly contributed to suppression of atherosclerosis or macrophage form cell formation. Insulin resistance plays an important role in development and progression of atherosclerosis. Previous studies demonstrate that a SGLT2i improved insulin sensitivity in patients with type 2 diabetes [29]. We conducted oral glucose loading for assessment of glucose tolerability. However, the results did not indicate insulin sensitivity, and the lack of evaluation of insulin sensitivity is one of the limitations in this study. Further study using euglycemic-hyperinsulinemic clamp test with tracer is necessary to clarify change of insulin sensitivity by a SGLT2i and its role in atherosclerosis. Severe hypercholesterolemia may cause atherosclerosis in mice, such as in Apoemice. As in a previous study [24], plasma cholesterol levels were somewhat higher in diabeticApoemice than in non-diabeticApoemice and SGLT2i tended to lower these levels. However, there was no significant correlation between cholesterol levels and atherosclerotic lesion area or foam cell formation in either non-diabetic or diabeticApoemice that did or did not receive SGLT2i. Therefore, it is unlikely that a mild reduction in cholesterol by SGLT2i can account for a substantial anti-atherosclerotic effect of SGLT2i. Similarly, plasma triglyceride, HDL cholesterol, and blood pressure were unaltered by SGLT2i in Apoemice and diabetic db/db mice; this indicated that changes in other risk factors for atherosclerosis outside of glycemia could not account for the favorable effect of SGLT2i on atherosclerosis. Thus, the pure glucose lowering effect of SGLT2i may lead to the suppression of atherogenesis in both type 1 and type 2 diabetic animals.Macrophage CD36 scavenges ox-LDL, which leads to foam cell formation, and appears to be a key proatherogenic molecule [1, 30, 31]. The gene expression of CD36 in macrophages was substantially upregulated in both type 1 and type 2 diabeticmice. There have been supportive data from studies that demonstrated that CD36 expression or protein was highly expressed in diabeticmice [31, 32] and that high glucose induced CD36 expression by stimulating the translational process in cultured macrophages [31-33]. The upregulated gene expression of CD36 was attenuated by SGLT2i treatment in macrophages that were derived from diabetic db/db mice and corresponded to its glucose-lowering effect. However, an insignificant suppressive effect of SGLT2i on CD36 expression was observed in diabeticApoemice, although there was a glucose-lowering effect that was similar to the one attained in diabetic db/db mice. On the other hand, another scavenger receptor, Lox-1 expression, was completely attenuated by SGLT2i in both diabeticmice models. Li et al reported that the gene expression of Lox-1 in macrophages was elevated by high glucose levels, which was directly linked to foam cell formation [17]. Moheimani et al reported that high glucose levels increased Lox-1 expression but the researchers failed to observe any upregulation of CD36 expression [34]. Lox-1 may be more glucose sensitive than CD36. Nevertheless, the majority of previous studies have supported that high glucose levels induced scavenger receptors in macrophages, which facilitated foam cell formation [17, 18, 31].Macrophage foam cell formation characterized by cholesterol ester accumulation is modulated by ACAT1 [1], a rate-limiting enzyme for the esterification of free cholesterol from ox-LDL. Our data showed that ACAT1 gene expression was strongly enhanced in macrophages from type 1 and type 2 diabeticmice, and the amelioration of hyperglycemia by SGLT2i attenuated ACAT1 expression. However, because ACAT1 expression is regulated by the substrate (free cholesterol) availability inside cells [35], a change in ACAT1 might simply be a consequence of changes in scavenger receptors. Further studies will be required to clarify the direct relationship between glucose and ACAT1 independent of scavenger receptors.The cholesterol efflux system plays a pivotal role in the suppression of foam cell formation in macrophages. ABCA1 and ABCG1 are the main molecules for cholesterol efflux from macrophage to apolipoprotein A-1 or HDL particles [1, 36–39]. There have been conflicting results in terms of ABCA1 and ABCG1 expression in macrophages derived from non-diabetic/diabeticmice or in high glucose treatment [19, 20, 40]. Mauldin et al reported that diabetic db/db macrophages had impaired cholesterol efflux to HDL but not to lipid-free apo A-1; this suggested that the increased levels of esterified cholesterol in the diabetic db/db macrophages were due to a selective loss of ABCG1-mediated efflux to HDL [41]. On the other hand, several studies have reported that ABCA1 expression was also downregulated by high glucose [19, 42, 43]. In the present study, a change in glycemia seems to more strongly influence ABCA1 expression than ABCG1 expression. Because we did not compare the actual cholesterol efflux to apolipoprotein A1 or HDL, it remains unknown whether upregulated ABCA1 by SGLT2i contributed to the correction of glucose-induced macrophage foam cell formation.Polyol pathway flux, advanced glycation end-product (AGE) formation, protein kinase C (PKC) activity, and hexosamine pathway flux have all been shown to be involved in hyperglycemia-induced vascular damage [44]. In addition, chronic exposure to oxidative stress induces systemic inflammation [45, 46]. Given the fact that a number of studies support the crucial role of inflammation in the pathogenesis of atherosclerosis and the strong association between hyperglycemia and systemic inflammation, amelioration of hyperglycemia by SGLT2i might have also contributed to suppression of systemic inflammation via reduced ROS, subsequently resulting in protection against atherosclerosis. As a limitation of this study, changes in inflammation or ROS were not investigated. Our study should be extended to identify other possible mechanisms for glucose-stimulated macrophage foam cell formation and its related atherogenesis.
Conclusions
Our study is the first to demonstrate that SGLT2i exerts anti-atherogenic effects by the normalization of blood glucose levels in both mouse models of type 1 and type 2 diabetes through suppressing macrophage foam cell formation; this is independent of insulin action. Our results suggest that foam cell formation regulated by Lox-1, ACAT1, and ABCA1 may be highly sensitive to glycemia ex vivo.
Authors: Adriana Machado-Lima; Rodrigo T Iborra; Raphael S Pinto; Gabriela Castilho; Camila H Sartori; Erika R Oliveira; Ligia S Okuda; Edna R Nakandakare; Daniel Giannella-Neto; Ubiratan F Machado; Maria Lucia C Corrêa-Giannella; Pietro Traldi; Simona Porcu; Marco Roverso; Annunziata Lapolla; Marisa Passarelli Journal: J Cell Physiol Date: 2015-06 Impact factor: 6.384
Authors: Xun Wang; Heidi L Collins; Mollie Ranalletta; Ilia V Fuki; Jeffrey T Billheimer; George H Rothblat; Alan R Tall; Daniel J Rader Journal: J Clin Invest Date: 2007-08 Impact factor: 14.808
Authors: Fatemeh Moheimani; Joanne T M Tan; Bronwyn E Brown; Alison K Heather; David M van Reyk; Michael J Davies Journal: Exp Diabetes Res Date: 2011-08-28
Authors: Dipesh C Patel; Christiane Albrecht; Darrell Pavitt; Vijay Paul; Celine Pourreyron; Simon P Newman; Ian F Godsland; Jonathan Valabhji; Desmond G Johnston Journal: PLoS One Date: 2011-07-27 Impact factor: 3.240
Authors: Sandra Feijóo-Bandín; Alana Aragón-Herrera; Manuel Otero-Santiago; Laura Anido-Varela; Sandra Moraña-Fernández; Estefanía Tarazón; Esther Roselló-Lletí; Manuel Portolés; Oreste Gualillo; José Ramón González-Juanatey; Francisca Lago Journal: Int J Mol Sci Date: 2022-05-18 Impact factor: 6.208
Authors: Debapriya Basu; Lesley-Ann Huggins; Diego Scerbo; Joseph Obunike; Adam E Mullick; Paul L Rothenberg; Nicholas A Di Prospero; Robert H Eckel; Ira J Goldberg Journal: Arterioscler Thromb Vasc Biol Date: 2018-09 Impact factor: 8.311