The purpose of this study is to conduct a multicenter randomized, double-blind, placebo-controlled clinical trial, evaluating the effects and change of lipid metabolism, especially of triglyceride after omega-3 administration in type 2 diabetes patients with hypertriglyceride.
In the present study, patients with type 2 diabetes and hypertriglyceride will be enrolled from multiple centers in China. Randomization was computer generated and stratified by center. After screening, eligible subjects will be randomly assigned into one of the following two groups: Omega-3 fatty acids capsules ( 2pills bid) and placebo capsules (2pills bid). Blood, feces and urine samples will be collected before and after treatment. Triglycerides (TG), total cholesterol (TC), LDL-C, HDL-C, HbA1C, fasting plasma glucose (FPG), postprandial plasma glucose (PPG) will be measured. Blood metabolomics profiles of lipids, amino acids, bile acids, the change of gut microbiota, and pharmacogenomic components and parameters will be evaluated too. Sample Size Calculation: The primary clinical endpoint involves comparing changes in triglyceride (TG) levels between the placebo group and the omega-3 treatment group after a 12-week intervention. According to literature reports \[Borthwick L J. The effects of an omega-3 ethyl ester concentrate on blood lipid concentrations in patients with hyperlipidaemia\[J\]. Clinical drug investigation, 1998, 15(5): 397-404\], following 12 weeks of n-3 or placebo-controlled treatment, patients with hypertriglyceridemia exhibited a 9.1±24.8% increase in the placebo group and a 28.3±19.1% decrease in the omega-3 treatment group (4g/day). Based on this data, we conservatively estimate no change in TG in the placebo group for this trial, while anticipating a 10% reduction in the omega-3 treatment group. With a combined standard deviation (SD) of 30%, α=0.05, β=0.2, we calculate the sample size based on the mean difference between the two groups, resulting in N1=N2=143 cases. Taking into account actual follow-up rates from preliminary research, we adjusted the estimated dropout rate from 20% to 5% and recalculated the sample size. Consequently, we plan to enroll 300 cases, with 150 in each of the omega-3 treatment and placebo groups, respectively.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
QUADRUPLE
Enrollment
309
Omega-3 fatty acids capsules, 1 gram gel capsule, 2 capsules orally administered twice a day for 12 weeks
Matching placebo capsules, 1 gram gel capsule, 2 capsules orally administered twice a day for 12 weeks
Ruijin hospital, Shanghai Jiao-Tong University School of Medicine
Shanghai, Shanghai Municipality, China
Change in serum triglycerides from baseline
With aid of autoanalyser, the investigators will measure the serum triglycerides in blood samples before and after treatment.
Time frame: 12 weeks
Change in blood metabolomics profile of lipid species from baseline
With aid of LC/MS and GC/MS, the investigators will measure blood metabolomics profile of lipid species before and after treatment. The metabolomics measurement will help to detect the profile of all kinds of lipids species. The composition change of all these biological molecular induced by the treatment is our major interest rather than single molecular quantification.
Time frame: 12 weeks
Change in serum metabolomics profile of bile acids from baseline
With aid of LC/MS and GC/MS technique, the investigators will measure the blood metabolomics molecular profile of bile acids in blood samples before and after treatment.
Time frame: 12 weeks
Change in serum metabolomics profile of amino acid species from baseline
With aid of LC/MS and GC/MS technique, the investigators will measure the blood metabolomics molecular profile of amino acid species before and after treatment.
Time frame: 12 weeks
Change in Gut microbiome from baseline
With aid of quantitative real-time PCR technique, the investigators will measure gut microbiome in fecal samples before and after treatment.
Time frame: 12 weeks
Change in fasting glucose levels from baseline
With aid of autoanalyser, the investigators will measure fasting glucose levels before and after treatment.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Time frame: 12 weeks
Change in 2-hour postprandial glucose levels from baseline
With aid of autoanalyser, the investigators will measure the 2-hour postprandial glucose levels before and after treatment.
Time frame: 12 weeks
Change in HbA1c from baseline
With aid of HPLC technique, the investigators will measure the HbA1c levels before and after treatment.
Time frame: 12 weeks
Change in Non-HDL-C from baseline
With aid of autoanalyser, the investigators will measure the non-HDL-c levels before and after treatment.
Time frame: 12 weeks
Change in serum total Cholesterol from baseline
With aid of autoanalyser, the investigators will measure serum total cholesterol levels before and after treatment.
Time frame: 12 weeks
Change in serum VLDL-c from baseline
With aid of autoanalyser, the investigators will measure serum VLDL-c levels before and after treatment.
Time frame: 12 weeks
Change in serum HDL-c from baseline
With aid of autoanalyser, the investigators will measure serum HDL-c levels before and after treatment.
Time frame: 12 weeks
Change in serum LDL-c from baseline
With aid of autoanalyser, the investigators will measure serum LDL-c levels before and after treatment.
Time frame: 12 weeks
Change in LDL-C/HDL-C from baseline
The LDL-C/HDL-C will be calculated by the ratio of the LDL-C divided by HDL-C before and after treatment.
Time frame: 12 weeks
Change in serum Apo B from baseline
With aid of autoanalyser, the investigators will measure serum Apo B levels before and after treatment.
Time frame: 12 weeks
Change in serum AST from baseline
With aid of autoanalyser, the investigators will measure serum AST levels before and after treatment.
Time frame: 12 weeks
Change in serum ALT from baseline
In aid of autoanalyser, the investigators will measure serum ALT levels before and after treatment.
Time frame: 12 weeks
Change in serum inflammation markers from baseline
With aid of autoanalyser, the investigators will measure hs-CRP, TNF-alfa, IL-6, and IL-8 etc before and after treatment.
Time frame: 12 weeks
Change in liver fat content from baseline
With aid of ultrasonic diagnostic apparatus, the investigators will measure the fat content in liver before and after treatment.
Time frame: 12 weeks
Change in Ankle-Brachial Index from baseline
The ABI value will be measured by PWV/ABI-form device (OMRON Colin Medical Instruments) before and after treatment.
Time frame: 12 weeks
Change in Brachial-ankle pulse wave velocity from baseline
The baPWV value will be measured by PWV/ABI form device (OMRON Colin Medical Instruments) before and after treatment.
Time frame: 12 weeks
Change in enrichment of fish oil in red blood cell from baseline
With aid of HPLC-ESI-MS/MS, the investigators will measure the enrichment of fish oil in red blood cell before and after treatment
Time frame: 12 weeks
Pharmacogenomics analysis
With aid of blood DNA genotyping,the investigators will compare the genotype of FASD1,FASD2 and other lipid related candidate genes with the lipid lowering effect of omega-3
Time frame: 12 weeks