Research Article - (2019) Volume 10, Issue 2
Objective: Diabetic dyslipidemia is highly atherogenic as it is associated with high triglyceride (TG), high small dense low-density lipoprotein (sd-LDL) particles and low high-density lipoprotein cholesterol (HDL-C). Saroglitazar, a dual peroxisome proliferator activated receptor agonist (predominant PPAR-α agonist and modest PPAR-γ agonist), is approved in India for the management of diabetic dyslipidemia. The GLIDDER study was done to evaluate the effects of Saroglitazar 4 mg on non HDL-C as the primary endpoint and sd-LDL particles as a secondary endpoint in diabetic patients with dyslipidemia.
Methods: This study was a 24 weeks, prospective, multicentre, single arm study conducted in 104 patients with diabetic dyslipidemia (TG ≥ 200 mg/dL) inadequately controlled with diet, exercise, and statins. It was conducted from April 2015 to November 2017 at three Indian centres. All the selected patients were given Saroglitazar 4 mg once daily before breakfast for 24 weeks. Efficacy evaluations of non HDL-C (calculated as total cholesterol (TC) minus HDL-C) (primary endpoint) and other lipid parameters (sd-LDL particles, TC, TG, HDL-C) and glycemic parameters (glycosylated hemoglobin (HbA1c), fasting plasma glucose (FPG)) were conducted after 24 weeks and compared to the baseline levels.
Results: Total 104 patients (22% female) with mean age of 59.1 ± 11.4 years were enrolled in this study. In the per-protocol population, there was a significant reduction in non HDL-C (from 142.3 ± 59.3 mg/dL (baseline) to 109.9 ± 45.5 mg/dL (week-24); p<0.0001) and sd-LDL (from 32.5 ± 11.3 mg/dL (baseline) to 25.9 ± 11.8 mg/dL (week-24); p<0.0001). There was a significant reduction in TG, TC, HbA1c, and FPG with a significant increase in HDL-C at week-24 from baseline levels (p<0.05).
Conclusion: Saroglitazar effectively reduces non HDL-C and sd-LDL particles in patients with diabetic dyslipidemia.
Diabetic dyslipidemia; Saroglitazar; Dual peroxisome proliferator activated receptor agonist; non HDL-C; SD-LDL particles; TG, HDL-C; HbA1c; FPG
Cardiovascular diseases (CVDs) are the leading causes of morbidity and mortality globally and incidence of CVDs is rising rapidly, particularly in low-income and middle-income countries [1]. Diabetes and dyslipidemia are known risk factors for CVDs [1,2]. Indians have a high prevalence of diabetes and dyslipidemia, predisposing them to a higher risk for developing CVDs [2-4].
Dyslipidemia in type 2 diabetes mellitus (T2DM), also known as diabetic dyslipidemia, is characterised by increased triglyceride (TG), increased proportion of small dense low-density lipoprotein (sd-LDL) particles and decreased high-density lipoprotein cholesterol (HDL-C) [5,6]. Sd-LDL particles are more atherogenic compared to large buoyant LDL (lb-LDL) particles [6]. Additionally, high sd-LDL particles are strongly associated with high TG and low HDL-C and thus increase the risk for CVDs even when LDL-cholesterol (LDL-C) is at optimal levels [5-9]. Moreover, insulin resistance in T2DM can increase TG and sd-LDL levels, thus increasing the risk for CVDs [9-11].
Despite attaining the guideline-recommended LDL-C goals, dyslipidemic patients remain at a high residual risk for developing CVDs and this risk could be higher in dyslipidemic patients with T2DM [12,13]. Non HDL-C is measured as total cholesterol (TC) minus HDL-C and represents all the atherogenic cholesterol particles [14]. Non HDL-C could explain some of the residual risk for future CVDs [14]. Thus, treatment targeting non HDL-C is grounded in a more holistic principle of management of dyslipidemia compared to treatment targeting LDL-C [14,15].
Saroglitazar is a novel peroxisome proliferator activated receptor (PPAR) α/γ agonist approved in India for the management of diabetic dyslipidemia and hypertriglyceridemia in T2DM not controlled by statins alone [16,17]. PPAR-α agonism leads to activation of lipoprotein lipase and induces decrease in TG, while PPAR-γ agonism induces decrease in insulin resistance and control of glycemic parameters, which could also lead to a decrease in TG [16-18]. Thus, Saroglitazar could also decrease sd- LDL particles and non HDL-C [16,18]. Saroglitazar has been approved at a dose of 4 mg once daily for oral administration and is marketed as LIPAGLYN™ by Zydus Discovery (Cadila Healthcare Limited) in India since 2013 [16,17].
The effect of Saroglitazar on TG (as a primary endpoint) has been well established in clinical trials in patients with T2DM with hypertriglyceridemia not controlled by statins alone and in patients with diabetic dyslipidemia, but the effects of Saroglitazar on non HDL-C (as a primary endpoint) and sd-LDL particles (as a study endpoint) have not been evaluated [19-21].
Study design and participants
The GLIDDER study was a prospective, multicentre, single arm clinical study to evaluate the effect of Saroglitazar 4 mg once daily on non HDL-C (as a primary endpoint) in patients with diabetic dyslipidemia inadequately controlled with diet, exercise, and statins. This study was conducted from April 2015 to November 2017 at the following three centres in India: (i) Fortis Escorts Heart Institute & Research Centre, Okhla Road, New Delhi; (ii) Fortis Hospital, Vasant Kunj, New Delhi; and (iii) Fortis Hospital, Noida, Uttar Pradesh. This study was approved by the independent ethics committee (IEC) at Fortis Escorts Heart Institute & Research Centre, New Delhi and was registered with the Clinical Trial Registry of India (CTRI/ 2016/08/007126). It was conducted in accordance with the International Conference on Harmonisation (ICH)-Good Clinical Practice (GCP) guidelines, the ethical principles of Declaration of Helsinki, the GCP guidelines issued by Central Drugs Standard Control Organization and the ethical guidelines for biomedical research on human subjects, issued by Indian Council of Medical Research.
Patients aged >18 years with T2DM and TG ≥ 200 mg/dL after diet, exercise, and stable statin therapy for at least 3 months were selected. Patients were excluded if they were receiving insulin, glitazones, glitazar, or lipid-modifying therapy (e.g., fenofibrate) other than statins. Patients suffering from type 1 diabetes, diabetic complications such as diabetic nephropathy, diabetic ketoacidosis, diabetic coma, retinopathy, neuropathy or foot ulcers, or uncontrolled hypertension were also excluded. Patients with a history of unstable angina, acute myocardial infarction within the last 3 months, heart failure classified as New York Heart Association Class III-IV, arrhythmia, or Torsades de pointes were also excluded. Patients with uncontrolled thyroid disorders, gallstones, impaired liver function (demonstrated by aspartate aminotransferase and alanine aminotransferase ≥ 2.5 times the upper normal limit [UNL] or bilirubin ≥ 2 times the UNL), impaired renal function (demonstrated by serum creatinine >1.5 mg/dL), myopathies or active muscle diseases were also excluded. Patients suffering from tuberculosis, human immunodeficiency virus infection or malignancy were also excluded. Patients with history of alcohol and/or drug abuse or history of allergy, sensitivity or intolerance to the study drug and their formulation ingredients were also excluded. Patients with history of ≥ 5% weight change due to unknown reason within the last 6 months were also excluded. Patients who have participated in any other clinical trial within the last 3 months at the time of enrolment were also excluded. Females were excluded if they were pregnant or breast feeding or had initiated hormonal treatment (e.g., hormonal contraceptive, hormone replacement therapy) within the last 3 months. Each patient provided written informed consent prior to participating in this study.
Study protocol
Patients were selected from the real-world clinical practice. Patients with an established diagnosis of T2DM with TG ≥ 200 mg/dL were evaluated as per the selection criteria. Eligible patients received treatment with Saroglitazar 4 mg tablets once daily before breakfast for 24 weeks. The study medications were dispensed to the enrolled patients at week 0 (enrollment visit) and week-12 and compliance was verified by examination of the tablet containers and tablets count at week-12 and week-24 (Table 1). The patients were followed-up on an outpatient basis for the total study duration of 24 weeks. The enrolled patients were instructed to continue their existing diet, exercise and pharmacotherapy (antidiabetic drugs and statins) throughout the study period without any modification in the dose at the time of enrolment. Lipid parameters such as TG, TC, HDL-C, non HDL-C, LDL-C, sd-LDL, very LDL-C (VLDL-C), and glycemic parameters such as Glycosylated Hemoglobin (HbA1c), Fasting Plasma Glucose (FPG), Postprandial Plasma Glucose (PPG) were measured at the time of screening and enrolment at week-0 (baseline), week-12 (1st follow-up visit) and week-24 (2nd follow-up visit/end of the study). Routine physical examination was carried out at all the study visits. Adverse Events (AEs) were recorded and assessed by the investigators. The association of the AEs with the study medication was ascertained by the WHO-UMC criteria [22]. All laboratory investigations were performed at SRL Diagnostics (https://www.srlworld.com/) at the individual study centres. The laboratory investigation for sd- LDL particles was done by spectrophotometric enzymatic method.
Table 1: Study Plan.
Activity | Visit 1 (Screening and Enrolment Visit) (Week 0) |
Visit 2 (Week 12) |
Visit 3 (Week 24) |
---|---|---|---|
Informed consent | √ | ||
Demographics and medical history | √ | ||
Inclusion/Exclusion criteria check | √ | ||
Vital signs and clinical examination | √ | √ | √ |
Urine pregnancy test | √ | ||
Enrollment | √ | ||
Recording of efficacy variables (non HDL-C, sd-LDL, TG, TC, LDL-C, VLDL-C, HDL-C) |
√ | √ | √ |
Recording of efficacy variables (HbA1c, FPG, PPG) |
√ | √ | √ |
Study medication count | √ | √ | |
Recording of adverse events | √ | √ | |
Recording of concomitant diseases and medications | √ | √ | √ |
Assessment of tolerability | √ | ||
Study completion | √ |
Abbreviations: non HDL-C: Non High-Density Lipoprotein Cholesterol; sd-LDL: Small Dense Low Density Lipoprotein; TG: triglyceride; TC: Total Cholesterol; LDL-C: Low-Density Lipoprotein Cholesterol; VLDL-C: Very Low-Density Lipoprotein Cholesterol; HDL-C: High-Density Lipoprotein Cholesterol; HbA1c: Glycosylated Hemoglobin; FPG: Fasting Plasma Glucose; PPG: Postprandial Glucose
The primary efficacy endpoint was the mean change in non HDL-C level at week-12 and week-24 compared to baseline (week-0) value. The secondary efficacy endpoints were: (i) the mean change in TG, TC, HDL-C, LDL-C, sd-LDL, VLDL-C, non HDL-C/HDL-C ratio at week-12 and week-24 compared to baseline values; (ii) the mean change in HbA1c, FPG, and PPG at week-12 and week-24 compared to the baseline values.
Statistical analysis
Statistical analysis was conducted using SAS software (version 9.4; SAS Institute Inc., USA). A sample size of 98 subjects was required to achieve a 95% power and to detect a mean difference of 15.0 mg/dL in non HDL-C at week-24 from baseline value with a standard deviation (SD) of differences of 40.0 and with a significance level (alpha) of 5% using a two sided paired t-test. Considering a dropout rate of 10%, a total of 109 subjects were planned to be enrolled in this study.
Data has been presented as mean ± SD or number (percentage). The primary and secondary efficacy endpoints were assessed by paired t-test and p<0.05 was considered as a statistically significant p value. For efficacy analysis, modified Intention-To- Treat (mITT) analysis and Per-Protocol (PP) analysis were performed, where the PP analysis was considered as definitive, while the mITT analysis was considered as supportive. The PP population included all the enrolled patients who completed the study as per the study protocol including minor deviations. The mITT population included all the enrolled patients who completed at least one post enrolment follow-up visit with efficacy endpoints assessments. Last Observation Carried Forward (LOCF) method was used to impute missing data for the mITT population. The safety population included all the enrolled patients who have taken at least one dose of study medication and have completed at least one post enrolment follow-up visit with safety assessment.
Demographics and patient disposition
Total 104 patients (22% female) with a mean age of 59.1 ± 11.4 years, mean weight of 73.2 ± 11.2 kg, and mean Body Mass Index (BMI) of 27.4 ± 3.9 kg/m2 were enrolled in this study (Table 2).
Table 2: Baseline Characteristics of Selected Patients.
Total patients (n) | 104 |
---|---|
Age (years), (M ± SD) | 59.1 ± 11.4 |
Female, n (%) | 23 (22.1%) |
Male, n (%) | 81 (77.9%) |
Height (cm), M ± SD | 164.0 ± 9.0 |
Weight (kg), M ± SD | 73.2 ± 11.2 |
BMI (kg/m2), M ± SD | 27.4 ± 3.9 |
Pulse rate (bpm), M ± SD | 76.2 ± 8.8 |
Blood pressure (mm Hg) | |
Systolic, M ± SD | 132.0 ± 16.0 |
Diastolic, M ± SD | 79.0 ± 9.0 |
Medical history | |
Hypertension, n (%) | 77 (74.0%) |
Obesity, n (%) | 6 (5.8%) |
Hypothyroidism, n (%) | 4 (3.8%) |
Coronary artery disease, n (%) | 26 (25.0%) |
Left ventricular dysfunction, n (%) | 5 (4.8%) |
Baseline medications, n (%) | |
High dose Statin* | 29 (27.9%) |
Acetylsalicylic acid (aspirin) | 31 (29.8%) |
Clopidegrol | 18 (17.3%) |
Beta-Blocker | 37 (35.6%) |
Other anti-hypertensive | 54 (51.9%) |
Lipid Parameters, M ± SD | |
Non HDL-C (mg/dL) | 140.0 ± 55.0 |
TG (mg/dL) | 357.0 ± 332.0 |
TC (mg/dL) | 176.0 ± 62.0 |
HDL-C (mg/dL) | 37.5 ± 16.6 |
LDL-C (mg/dL) | 91.0 ± 37.0 |
sd-LDL (mg/dL) | 32.9 ± 11.5 |
VLDL-C (mg/dL) | 54.0 ± 20.4 |
Glycemic Parameters, M ± SD | |
HbA1c (%) | 7.9 ± 1.6 |
FPG (mg/dL) | 156.0 ± 52.0 |
PPG (mg/dL) | 223.0 ± 77.0 |
*All 104 patients were on stable statin therapy and 29 out of 104 patients were on high dose statin (atleast 20 mg of Rosuvastatin or 40 mg of Atorvastatin)
Abbreviations: M: Mean; SD: Standard Deviation; n: number; BMI: Body Mass Index; bpm: beats per minute; mmHg: millimeter of Mercury; mg: milligram; dL: deciLitre; non HDL-C: non High-Density Lipoprotein Cholesterol; sd-LDL: small dense Low Density Lipoprotein; TG: Triglyceride; TC: Total Cholesterol; LDL-C: Low-Density Lipoprotein Cholesterol; VLDL-C: Very Low-Density Lipoprotein Cholesterol; HDL-C: High-Density Lipoprotein Cholesterol; HbA1c: Glycosylated Hemoglobin; FPG: Fasting Plasma Glucose; PPG: Postprandial Glucose
Total 77 (74%) patients had hypertension and 26 (25%) patients had coronary artery disease at the time of enrolment in the study (Table 2). All the patients were on stable statin therapy throughout the study period. Total 29 (28%) patients were on high dose statins, 37 (36%) were on beta-blockers, and 54 (52%) were on other anti-hypertensives (Table 2). In total, 20 patients discontinued the study: 2 patients voluntarily withdrawn, 17 patients lost to follow-up, and 1 subject due to major protocol violation. One patient died during the study. Due to not meeting the eligibility criteria, one patient was considered only for the mITT analysis but not for the PP analysis. In total, 81 patients qualified for the PP analysis, 100 patients qualified for the mITT analysis, and 100 patients qualified for the safety analysis.
Efficacy analysis
In the PP population, non HDL-C level significantly reduced from 142.3 ± 59.3 mg/dL at baseline to 109.6 ± 33.9 mg/dL at week-12 (p<0.0001) and 109.9 ± 45.5 mg/dL at week-24 (p<0.0001) (Table 3). In the PP population, sd-LDL level also significantly reduced from 32.5 ± 11.3 mg/dL at baseline to 26.3 ± 9.5 mg/dL at week-12 (p<0.0001) and 25.9 ± 11.8 mg/dL at week-24 (p<0.0001) (Table 3). In the PP population, TG level also significantly reduced from 371.4 ± 368.3 mg/dL at baseline to 241.6 ± 298.8 mg/dL at week-12 (p<0.0001) and 239.1 ± 431.5 mg/dL at week-24 (p=0.0004) (Table 3). In the PP population, HDL-C level also significantly increased from 37.3 ± 18.4 mg/dL at baseline to 42.9 ± 16.5 mg/dL at week-12 (p=0.0007) and 43.4 ± 15.6 mg/dL at week-24 (p=0.0002) (Table 3). Similarly, the values of TC, VLDL-C, and non HDL-C/ HDL-C ratio significantly reduced from baseline to week-12 and week-24 in the PP population (p<0.05) (Table 3). However, the value of LDL-C was not significantly reduced from baseline to week-24 in the PP population (Table 3).
Table 3: Change in Efficacy Outcomes at Week-12 and Week-24 from Baseline in the Per-Protocol Population (Number of Patients=81).
Efficacy Outcomes | Baseline M ± SD | Week-12 Visit M ± SD | p value* | Week-24 Visit M ± SD | p value# |
---|---|---|---|---|---|
Non HDL-C (mg/dL) | 142.3 ± 59.3 | 109.6 ± 33.9 | <0.0001 | 109.9 ± 45.5 | <0.0001 |
TG (mg/dL) | 371.4 ± 368.3 | 241.6 ± 298.8 | <0.0001 | 239.1 ± 431.5 | 0.0004 |
TC (mg/dL) | 178.7 ± 67.8 | 153.3 ± 38.6 | <0.0001 | 153.6 ± 49.4 | 0.0002 |
HDL-C (mg/dL) | 37.3 ± 18.4 | 42.9 ± 16.5 | 0.0007 | 43.4 ± 15.6 | 0.0002 |
LDL-C (mg/dL) | 91.9 ± 39.5 | 83.9 ± 26.7 | 0.0407 | 84.9 ± 25.9 | 0.1112 |
sd-LDL (mg/dL) | 32.5 ± 11.3 | 26.3 ± 9.5 | <0.0001 | 25.9 ± 11.8 | <0.0001 |
VLDL-C (mg/dL) | 56.1 ± 21.8 | 36.7 ± 21.3 | <0.0001 | 39.6 ± 31.0 | <0.0001 |
non HDL-C/HDL-C^ | 2.2 ± 0.6 | 1.5 ± 0.7 | <0.0001 | 1.4 ± 0.7 | <0.0001 |
HbA1c (%) | 8.1 ± 1.7 | 7.2 ± 1.1 | <0.0001 | 6.9 ± 0.7 | <0.0001 |
FPG (mg/dL) | 159.7 ± 54.1 | 134.2 ± 41.7 | <0.0001 | 125.8 ± 33.2 | <0.0001 |
PPG (mg/dL) | 227.3 ± 80.8 | 191.3 ± 60.9 | <0.0001 | 179.2 ± 57.2 | <0.0001 |
*p value belongs to paired t-test to determine change from baseline to week-12
#p value belongs to paired t-test to determine change from baseline to week-24
^non HDL-C/HDL-C ratio was calculated as an additional analysis
Abbreviations: non HDL-C: Non High-Density Lipoprotein Cholesterol; sd-LDL: Small Dense Low Density Lipoprotein; TG: Triglyceride; TC: Total Cholesterol; LDL-C: Low-Density Lipoprotein Cholesterol; VLDL-C: Very Low-Density Lipoprotein Cholesterol; HDL-C: High-Density Lipoprotein Cholesterol; HbA1c: Glycosylated Hemoglobin; FPG: Fasting Plasma Glucose; PPG: Postprandial Plasma Glucose; M: Mean; SD: Standard Deviation; mg: Milligram; dL: Decilitre
In the PP population, HbA1c (%) significantly reduced from 8.1 ± 1.7 at baseline to 7.2 ± 1.1 at week-12 (p<0.0001) and 6.9 ± 0.7 at week-24 (p<0.0001) (Table 3). In the PP population, FPG level significantly reduced from 159.7 ± 54.1 mg/dL at baseline to 134.2 ± 41.7 mg/dL at week-12 (p<0.0001) and 125.8 ± 33.2 mg/dL at week-24 (p<0.0001) (Table 3). In the PP population, PPG level significantly reduced from 227.3 ± 80.8 mg/dL at baseline to 191.3 ± 60.9 mg/dL at week-12 (p<0.0001) and 179.2 ± 57.2 mg/dL at week-24 (p<0.0001) (Table 3). Similar results were observed for lipid parameters and glycemic parameters in the mITT population (Table 4).
Table 4: Change in Efficacy Outcomes at Week-12 and Week-24 from Baseline in the Modified Intention-To-Treat Population (Number of Patients=100).
Efficacy Outcomes | Baseline M ± SD | Week-12 Visit M ± SD | p value* | Week-24 Visit M ± SD | p value# |
---|---|---|---|---|---|
Non HDL-C (mg/dL) | 142.6 ± 55.9 | 111.6 ± 33.5 | <0.0001 | 111.7 ± 42.7 | <0.0001 |
TG (mg/dL) | 366.7 ± 340.4 | 242.1 ± 276.9 | <0.0001 | 239.8 ± 391.1 | <0.0001 |
TC (mg/dL) | 178.8 ± 63.5 | 153.2 ± 36.4 | <0.0001 | 153.5 ± 45.6 | <0.0001 |
HDL-C (mg/dL) | 37.8 ± 16.9 | 42.3 ± 15.2 | 0.0011 | 42.9 ± 14.3 | 0.0002 |
LDL-C (mg/dL) | 91.6 ± 36.8 | 85.5 ± 28.0 | 0.0682 | 85.5 ± 27.5 | 0.1091 |
sd-LDL (mg/dL) | 34.5 ± 20.2 | 27.2 ± 9.1 | 0.0002 | 26.4 ± 11.2 | <0.0001 |
VLDL-C (mg/dL) | 54.2 ± 20.6 | 38.2 ± 24.7 | <0.0001 | 41.3 ± 31.8 | <0.0001 |
non HDL-C/HDL-C^ | 2.2 ± 0.6 | 1.6 ± 0.7 | <0.0001 | 1.5 ± 0.7 | <0.0001 |
HbA1c (%) | 8.0 ± 1.7 | 7.2 ± 1.1 | <0.0001 | 6.9 ± 0.7 | <0.0001 |
FPG (mg/dL) | 158.4 ± 52.0 | 133.0 ± 39.8 | <0.0001 | 127.7 ± 31.6 | <0.0001 |
PPG (mg/dL) | 223.6 ± 77.8 | 190.5 ± 58.6 | <0.0001 | 183.5 ± 54.8 | <0.0001 |
*p value belongs to paired t-test to determine change from baseline to week-12
#p value belongs to paired t-test to determine change from baseline to week-24
^non HDL-C/HDL-C ratio was calculated as an additional analysis
Abbreviations: non HDL-C: non High-Density Lipoprotein Cholesterol; sd-LDL: small dense Low Density Lipoprotein; TG: Triglyceride; TC: Total Cholesterol; LDL-C: Low-Density Lipoprotein Cholesterol; VLDL-C: Very Low-Density Lipoprotein Cholesterol; HDL-C: High-Density Lipoprotein Cholesterol; HbA1c: Glycosylated Hemoglobin; FPG: Fasting Plasma Glucose; PPG: Postprandial Plasma Glucose; M: Mean; SD: Standard Deviation; mg: Milligram; dL: Decilitre
Safety analysis
There was no significant change in weight (kg) throughout the study period (baseline: 73.5 ± 11.3 kg; week-12: 73.2 ± 10.6 kg; week-24: 73.9 ± 10.5 kg). The reported AEs were burning sole (1 patient), occasional chest discomfort/chest pain (2 patients), hypoglycemia after first dosing (1 patient), and occasional suffocation (1 patient). None of the AEs were severe in nature. The occasional suffocation was related to Ticagrelor and it disappeared after changing Ticagrelor to Clopidogrel. Only hypoglycemia after first dosing was found to be drug induced. One patient died during the study period; however, the cause of death was sepsis and not related to Saroglitazar use.
This study was a 24 weeks, multicenter, prospective, single arm clinical study to evaluate the effect of Saroglitazar 4 mg once daily on non HDL-C (as a primary endpoint) in 104 patients with T2DM and TG ≥ 200 mg/dL inadequately controlled with diet, exercise, and statins. In this study, we observed a significant reduction in non HDL-C, sd-LDL, TG, TC, VLDL-C, non HDL-C/HDL-C ratio and significant increase in HDL-C from baseline to week-24 in both the PP and mITT populations. There was a non-significant reduction in LDL-C from baseline to week-24 in both the PP and mITT populations; however, LDL-C remained at the optimal level throughout the study period. Moreover, glycemic parameters such as HbA1c, FPG, and PPG were also significantly reduced from baseline to week-24 in both the PP and mITT populations. Further, Saroglitazar 4 mg appeared to be safe during the study period without any significant change in the body weight or any significant AEs throughout the study period.
In this study, Saroglitazar favourably modulated the lipid and glucose profile without any significant AEs in patients with diabetic dyslipidemia. Saroglitazar could address the residual cardiovascular risk associated with non HDL-C [14,23]. The Emerging Risk Factors Collaboration (University of Cambridge, UK) conducted a study of more than 300,000 people without initial vascular disease from 68 long-term prospective studies and found that non HDL-C was a strong predictor of coronary heart disease (CHD) (50% increase in the risk) and ischemic stroke (12% increase in the risk) [24]. The authors also found that non HDL-C/HDL-C ratio was also associated with a 50% increase in the risk of CHD [24]. Further, Saroglitazar could also address the cardiovascular risk associated with sd-LDL in patients with normal LDL-C levels [25]. Hoogeveen et al. conducted a prospective study among Atherosclerosis Risk in Communities (ARIC) study participants (11,419 men and women) to determine the association between sd-LDL and the risk for incident CHD over 11 years of the study period [25]. The authors found that in patients with low cardiovascular risk based on their LDL-C levels, sd-LDL was associated with a 61% increased risk for incident CHD (hazard ratio: 1.61; 95% confidence interval: 1.04 to 2.49) [25]. Moreover, high TG could induce modifications in lipoproteins such as they increase sd- LDL particles and decrease HDL-C [6-9]. Therefore, treatment targeting reduction of TG could also lead to shift of LDL-C morphology by reducing sd-LDL particles, making LDL-C less atherogenic, and reducing the risk for future CHD [6-9].
The results of this study are consistent with the mechanism of action of Saroglitazar. Saroglitazar is a novel dual PPAR agonist and has predominantly a PPAR-α agonist action and a modest PPAR-γ agonist action [16]. Through PPAR-α agonist action, Saroglitazar increases the hepatic oxidation of fatty acids and lowers the synthesis and secretion of TG [16]. Moreover, Saroglitazar increases lipolysis and removes TG-rich particles from plasma by activating lipoprotein lipase [16]. Further, Saroglitazar also reduces LDL-C and sd-LDL levels and increases HDL-C level [16]. Through PPAR-γ agonist action, Saroglitazar increases insulin sensitivity in peripheral tissues and thereby increases glucose uptake, lowers blood glucose levels, and improves glycemic parameters [16].
The results of this study are also consistent with the results of the phase-3 clinical trial of Saroglitazar in patients with diabetic dyslipidemia (PRESS V) [20]. PRESS V study was a 24 weeks, double-blind, parallel arm, phase 3 study conducted in India to evaluate the safety and efficacy of Saroglitazar 2 mg and 4 mg compared to Pioglitazone 45 mg in T2DM patients with hypertriglyceridemia (TG>200 to 400 mg/dL; HbA1c>7 to 9%; BMI >23 kg/m2) [20]. In the PRESS V study, Saroglitazar 2 mg and 4 mg significantly reduced TG level by upto 45% from baseline [20]. There was also a significant decrease in LDL-C, VLDL-C, and TC with Saroglitazar 4 mg [20].
This study has a few unique features. This is the first study to examine the effects of Saroglitazar 4 mg on non HDL-C (as a primary endpoint) and sd-LDL particles (as a study endpoint) in patients with diabetic dyslipidemia. Moreover, patients were selected from the real-world clinical practice setup, which improves the generalizability of the study results to the real-world clinical practice. This study is limited by a small sample size of 104 patients. Moreover, there were 17 patients lost to follow-up in this study and we cannot confirm whether these patients were lost to follow-up due to some AEs or due to other personal reasons. Therefore, we cannot rule out the possibility of underreporting of AEs due to lost to follow-up in this study based on real-world clinical practice. Another potential limitation of this study is the short study duration of 24 weeks. Recently, Chatterjee et al. examined the effect of Saroglitazar 4 mg in T2DM patients with hypertriglyceridemia (>150 mg/dL) in a 58 weeks observational study based on real-world clinical practice in India [26]. The authors found significant reduction in non HDL-C from 140.1 ± 55.4 (mg/dL) at baseline to 104.5 ± 49.7 (mg/dL) at week-58 (reduction of 35.6 ± 58.9 (mg/dL); p<0.001) and TG from 319.9 ± 178.8 (mg/dL) at baseline to 174.0 ± 113.6 (mg/dL) at week-58 (reduction of 145.8 ± 186.6 (mg/dL); p<0.001) [26]. Moreover, HbA1c (%) was also significantly reduced from 7.9 ± 1.5 at baseline to 7.3 ± 1.4 at week-58 (reduction of 0.6 ± 1.4; p<0.001) [26]. The study results of Chatterjee et al. are encouraging to support the long-term benefits from Saroglitazar 4 mg in T2DM patients with hypertriglyceridemia [26].
Overall, Saroglitazar 4 mg was effective and well tolerated in patients with diabetic dyslipidemia. Considering the favourable effects on non HDL-C, sd-LDL, and other lipid parameters and glycemic parameters in this study, Saroglitazar 4 mg could potentially reduce the cardiovascular risk in patients with diabetic dyslipidemia.
All investigators of this study contributed to study design, data collection, interpretation of the study results, and manuscript writing, whereas Dr Mitesh Shah and Ms Krupi Parmar contributed to statistical analysis, interpretation of the study results, and manuscript writing.
The GLIDDER study was presented at the 78th Scientific Sessions, American Diabetes Association, June 22-26, 2018, Orlando, USA. The poster presentation number was 38-LB at Late Breaking Poster Session
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this study. Dr Ashok Jaiswal is an employee of Cadila Healthcare Limited, Ahmedabad, India. Dr Mitesh Shah and Ms Krupi Parmar are employees of Zydus Research Centre, Cadila Healthcare Limited, Ahmedabad, India.
Citation: Kaul U, Arambam P, Kachru R, Bhatia V, Diana Y, Diana Y, et al. (2019) A Prospective, Multicentre, Single Arm Clinical Study to Evaluate the Effect of Saroglitazar on Non High-Density Lipoprotein Cholesterol in Patients with Diabetic Dyslipidemia Inadequately Controlled with Diet, Exercise, and Statin-The GLIDDER Study. J Diabetes Metab 10:819. doi: 10.35248/2155-6156.19.10.819
Received: 30-Jan-2019 Published: 23-Feb-2019, DOI: 10.35248/2155-6156.19.10.819
Copyright: © 2019 Kaul U, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.