ClinicalTrials.gg
RecruitingNCT07575438END-T2DUpdated Oct 8, 2026

Effects of Different Fish Oil Types on Type 2 Diabetes Risk Factors in High-Risk Adults

A Phase 2 interventional study of Fish Oil and Fish Oil in Type 2 Diabetes, Prediabetes (Insulin Resistance, Impaired Glucose Tolerance) and Prediabetes / Type 2 Diabetes, sponsored by May Faraj, PDt, PhD. Recruiting at 1 site in Canada. Open to participants aged 40 Years to 70 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-08.

Sponsored by May Faraj, PDt, PhD · Phase 2, Interventional, and Prevention

From the registry’s dates

  • Started Oct 2026; still recruiting 1 month later.
Updated Oct 8, 2026Now RecruitingSite recruiting status changed+2 moreGo to Updates ↓
Phase
Phase 2
Study type
Interventional
Enrollment
84
Allocation
Randomized
Ages
40 Years to 70 Years
Sex
All
01

Study summary

The purpose of this clinical trial is to find out whether one type of fish oil works better than another at improving metabolic health in people who are at high risk of developing type 2 diabetes.

Some metabolic problems-such as difficulty controlling blood sugar, unhealthy particles that transport cholesterol in the blood, and poor fat tissue function-can increase the risk of type 2 diabetes. This study aims to determine whether different types of fish oil can:

  1. Improve how well the body produces insulin and responds to it,
  2. Improve the quality of the particles that carry "bad" cholesterol in the blood, and 3) Improve the health and function of participants' fat tissue.

To answer these questions, researchers will compare the effects of two types of fish oil: EPA (eicosapentaenoic acid) and DHA (docosahexaenoic acid). These will be compared with corn oil, which is used as a placebo and does not contain EPA or DHA.

When included in this study, participants will:

A) Take softgel capsules containing EPA, DHA, or placebo (corn oil) every day for 12 weeks, B) Keep a daily log to record when they take their study softgels, and C) Visit the research unit six times, including one and a half days before and after the intervention, to complete specialized metabolic tests that are mostly only available in research settings.

Read the detailed description

Background and Rationale:

According to the International Diabetes Federation, about 590 million adults worldwide-or 1 in 9 adults-were living with diabetes in 2025, most of whom had type 2 diabetes (T2D). An additional 230 million adults (about 4 in 10) are unaware that they have diabetes and therefore remain undiagnosed. Diabetes substantially increases the risk of illness and death and has an impact comparable to aging approximately 15 years, making it a leading cause of disability and mortality worldwide.

Type 2 diabetes develops gradually as multiple risk factors accumulate over time, including unhealthy lifestyle habits and aging. These factors reduce the body's ability to produce insulin and/or respond effectively to insulin, a hormone that regulates blood sugar levels. As a result, blood sugar levels progressively rise and may eventually lead to a diagnosis of T2D.

Importantly, type 2 diabetes is preventable.

In people with T2D, elevated blood levels of apolipoprotein B (apoB) increase the risk of cardiovascular disease (apoB is a measure of the number of particles that carry "bad" cholesterol known as low density lipoproteins (LDL)). Traditionally, high apoB levels were considered a consequence of T2D. However, research from the principal investigator's laboratory has shown that high apoB levels may also contribute to the development of T2D.

This appears to occur because LDL particles can promote inflammation and impair the normal function of fat tissue. Poorly functioning fat tissue is associated with multiple metabolic abnormalities that increase the risk of both T2D and cardiovascular disease. Large population based studies confirmed that elevated blood apoB levels can predict the development of T2D many years before diagnosis.

Recent findings from the research team also indicate that 12 week supplementation with marine derived omega 3 fatty acids, EPA (eicosapentaenoic acid) and DHA (docosahexaenoic acid), can improve several risk factors for T2D, particularly in individuals with higher blood apoB levels. However, these data suggest that EPA and DHA may not provide identical benefits in reducing these risk factors.

Study Objective:

The overall aim of this study is to compare the effects of EPA versus DHA on major risk factors for T2D in adults with overweight or obesity and elevated blood apoB levels.

Study Design and Procedures:

After eligibility is confirmed, participants will visit the research institute (IRCM) for two baseline visits scheduled one week apart. During these visits, investigators will used specialized metabolic testing to:

  1. Assess how participants' bodies process glucose and produce insulin using blood samples, and
  2. Examine how participants' fat tissue responds to their own LDL using a small fat tissue biopsy.

Participants will then be randomly assigned to follow one of three interventions for 12 weeks: EPA, DHA or corn oil (placebo). At the end of the 12 week intervention, participants will return to the research institute to undergo the same assessments performed at baseline.

Data Analysis:

At the conclusion of the study, results from participants in each intervention group (EPA, DHA, and placebo) will be averaged and compared. This will allow researchers to determine the effects of EPA and DHA on key risk factors for T2D and to evaluate whether one omega 3 fatty acid is more effective than the other.

02

Conditions studied

  • Type 2 Diabetes
  • Prediabetes (Insulin Resistance, Impaired Glucose Tolerance)
  • Prediabetes / Type 2 Diabetes
  • Obesity & Overweight
  • Obesity and Diabetes Mellitus, Type 2

Keywords

  • Omega-3 fatty acids
  • EPA
  • DHA
  • Low-density lipoproteins
  • LDL
  • Overweight
  • Obesity
  • Insulin secretion
  • Insulin sensitivity
  • LDL size
  • LDL diameter
  • Inflammation
  • White adipose tissue
  • HyperapoB
  • Prediabetes
  • Botnia clamp
  • Intravenous glucose tolerance test
  • Hyperinsulinemic euglycemic clamp
  • Adipose tissue needle biopsy
  • Oral glucose tolerance test
  • Eicosapentaenoic acid
  • Docosahexaenoic acid
  • High plasma apoB
  • Disposition index
03

In context

Diabetes Mellitus, Type 2

10,371 studies on the registry are indexed under Diabetes Mellitus, Type 2; 1,406 are open to participants now.

This study's planned enrollment of 84 is close to the median of 80 across 8,350 interventional studies indexed under Diabetes Mellitus, Type 2.

Browse Diabetes Mellitus, Type 2 studies →

Lead sponsor

May Faraj, PDt, PhD is the lead sponsor of 2 studies on the registry; 1 is open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
40 Years to 70 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

Males and females:

  • With a (BMI >25-40 kg/m2)
  • Having confirmed menopausal status (FSH ≥ 30 U/l)
  • Non-smokers (tobacco) or have quitted for over a year
  • Low-moderate alcohol consumption: \<7 alcoholic servings/ week
  • Plasma apoB ≥1.05 g/L

Exclusion criteria

Exclusion Criteria:

  • Elevated risk of cardiovascular disease (≥ 20% of calculated Framingham Risk Score)
  • Prior history of cardiovascular events (e.g. stroke, , myocardial infarction, angina, heart failure, arrhythmias, flutter, atrial …)
  • Systolic blood pressure > 140 mmHg or diastolic blood pressure > 90 mmHg
  • Diabetes or ≥ 6.5%
  • Reactive hypoglycaemia
  • Prior history of cancer within the last 3 years or if lymph nodes were removed
  • Thyroid disease - untreated or unstable Synthroid dose
  • Severe renal dysfunction - \< 30 mL/min/1.73 m²
  • Hepatic dysfunction - /ALT > 3 times normal limit
  • Anemia - \< 120 g/L in females and \< 130 in males
  • Bleeding disorders
  • Blood coagulation problems (i.e. bleeding predisposition)
  • Malabsorptive disease or surgeries (e.g. bariatric surgeries)
  • and chronic inflammatory disease (i.e. celiac, inflammatory bowel, Graves, multiple sclerosis, psoriasis, rheumatoid arthritis, and lupus).
  • Chronic diarrhea
  • Cholecystectomy (e.g. removal of gall bladder)
  • Sleep apnea
  • Seizures
  • Known history of difficulties accessing a vein
  • Known history of vagal shock or loss of consciousness during blood withdrawal
  • Concomitant medications (systemic ; hypertension medication; anti-psychotic medications - psycho-active medication that promote weight gain; anticoagulant or anti-aggregates treatment (e.g. aspirin, NSAIDs, warfarin, coumadin..); systemic adrenergic agonists; weight-loss medication (e.g. GLP-1 agonists); lipid lowering medication (e.g. statins, anti-PCSK9); )
  • Allergy to seafood/fish or corn oil
  • Allergy to bovine gelatine or glycerine (softgel components)
  • Allergy to Xylocaine (anesthesia used during fat tissue )
  • Anticipated surgery or blood transfusion
  • Known substance abuse
  • Very high physical activity (> 5 hours of aerobic exercise per week)
  • Already taking more than 1 gm of EPA and/or DHA supplementation per day
  • Lack of compliance to the study requirements (i.e. not being fasting)
  • Cancellation of the same scheduled testing visit more than once
  • Lack of time to participate in the full length of the study (18-22 weeks)
  • Other conditions deemed inappropriate by the study physician (e.g. difficulties in understanding/communicating in French or English)
Terms in these criteria, in plain language(10)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Postmenopausal

Periods have stopped for good: usually no period for 12 months in a row without another medical reason, sometimes confirmed by a blood test (FSH).

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

TIA (transient ischaemic attack)

A “mini-stroke”: temporary stroke-like symptoms caused by reduced blood flow to part of the brain, spinal cord or eye, without signs of a new stroke on a scan.

Stroke symptoms need emergency care at once, even if they go away.

HbA1c

A blood test of average blood sugar over the past two to three months, given as a percentage or in mmol/mol. 6.5% (48 mmol/mol) or more is the usual threshold for diabetes, normally confirmed by a second test.

GFR and eGFR (kidney filtering)

GFR (glomerular filtration rate) is how much blood the kidneys filter each minute. It is usually estimated from a blood test — eGFR, by formulas such as CKD-EPI or MDRD — and some studies ask for it to be measured directly instead. Usually given in mL/min/1.73 m².

Check the method, the units and the minimum the study states. A value of 90 or above is in the normal-or-high range, but kidney damage can show in other tests too.

ALT and AST (liver enzymes)

Two enzymes measured in a routine blood test of the liver. Higher levels can mean the liver is under strain or damaged. SGPT and SGOT are older names for ALT and AST.

Criteria usually give a limit as a multiple of the upper limit of normal (ULN), often higher when cancer has spread to the liver.

Hemoglobin (Hb)

The protein in red blood cells that carries oxygen. A low level is anaemia, which can cause tiredness and breathlessness. Measured in g/dL or g/L (9 g/dL is 90 g/L).

Autoimmune disease

A condition in which the immune system attacks the body’s own tissues, such as rheumatoid arthritis, lupus, psoriasis, type 1 diabetes or inflammatory bowel disease.

Immunotherapy studies often leave out active autoimmune disease, and some name exceptions, such as thyroid disease on replacement hormone. Check the exceptions this study lists.

Corticosteroids (steroids)

Anti-inflammatory medicines such as prednisone, prednisolone and dexamethasone — not the anabolic steroids used for muscle.

Studies differ in what they allow: check which steroid medicines, routes (tablets, injections, creams, inhalers, eye drops) and doses this study accepts.

Biopsy and archival tissue

A biopsy takes a small piece of tissue to examine. “Archival tissue” is a sample already taken, for example at diagnosis, and kept by the hospital.

Whether a stored sample will do depends on when it was taken, how much there is and what the study needs. Ask whether the study accepts your stored sample or needs a new biopsy.

05

Study design

Phase
Phase 2
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Triple (Participant, Investigator, Outcomes assessor)
Enrollment
84 participants (estimated)

Study arms

  • Active comparator
    Eicosapentaenoic acid (EPA)

    4 g EPA per day

    Dietary Supplement: Fish Oil

  • Active comparator
    Docosahexaenoic acid (DHA)

    4 g DHA per day

    Dietary Supplement: Fish Oil

  • Placebo comparator
    Corn oil

    0 g EPA and DHA per day

    Dietary Supplement: Corn oil control

Interventions

  • Dietary supplementFish Oil

    Four softgels of Carlson Elite EPA Gems taken orally per day (NPN 80079735, 1 g EPA/softgel)

  • Dietary supplementFish Oil

    Four softgels of Carlson Elite DHA Gems taken orally per day (NPN 80079736, 1 g DHA/softgel)

  • Dietary supplementCorn oil control

    Four softgels of Carlson placebo taken orally per day (food-grade corn oil, 0 g EPA and DHA per softgel)

06

What researchers measure

Primary outcomes

  1. Change from baseline to 12 weeks in the disposition index

    Disposition index calculated as first phase glucose-induced insulin secretion multiplied by insulin sensitivity measured during the Botnia clamp \[(ng C-peptide/mL)\*(mg dextrose/kg/min)/(µU insulin/mL)\]

    Time frame: 12-weeks

Secondary outcomes

  1. Change from baseline to 12 weeks in glucose-induced insulin secretion

    Glucose-induced insulin secretion measured by the Botnia clamp (ng C-peptide/mL)

    Time frame: 12 weeks

  2. Change from baseline to 12 weeks in insulin sensitivity

    Insulin sensitivity measured by the Botnia clamp (mg dextrose/kg/min)/(uU insulin/mL)

    Time frame: 12 weeks

  3. Change from baseline to 12 weeks in the oral disposition index

    Oral disposition index calculated as insulin secretion index (0-30 min) multiplied by insulin sensitivity index measured during an oral glucose tolerance test (arbitrary unit)

    Time frame: 12 week

  4. Change from baseline to 12 weeks in low-density lipoprotein (LDL) size

    LDL size measured by Quantimetrix Lipoprint System (Å)

    Time frame: 12 weeks

  5. Change from baseline to 12 weeks in LDL-induced white adipose tissue (WAT) inflammation

    LDL-induced WAT inflammation measured as WAT gene expression of a panel of pro- and anti-inflammatory mediators/markers (e.g. NLRP3, IL1B, MCP1, IL10, TREMs) by RT-qPCR. This will be measured after the incubation of participant WAT biopsies without or with their own LDL ex vivo.

    Time frame: 12 weeks

Other outcomes

  1. Change from baseline to 12 weeks in LDL-induced WAT inflammation

    LDL-induced WAT inflammation measured as WAT secretion of a panel of pro- and anti-inflammatory mediators/markers (e.g. IL-1β, MCP1, IL10) by multiplex. This will be measured after the incubation of participant WAT biopsies without or with their own LDL ex vivo.

    Time frame: 12 weeks

07

Study locations

1 of 1 sites recruiting
  • Institut de recherches cliniques de Montréal (IRCM)
    Montreal, Quebec H2W 1R7, Canada
    Recruiting
    • May Faraj, P.Dt., Ph.D. · ContactT2Dresearch@ircm.qc.ca
    • May Faraj, P.Dt., Ph.D. · Principal investigator
    • Study physician: Remi Rabasa-Lhoret, M.D., Ph.D. · Sub investigator
08

References and documents

Publications

  • Faraj M, Messier L, Bastard JP, Tardif A, Godbout A, Prud'homme D, Rabasa-Lhoret R. Apolipoprotein B: a predictor of inflammatory status in postmenopausal overweight and obese women. Diabetologia. 2006 Jul;49(7):1637-46. doi: 10.1007/s00125-006-0259-7. Epub 2006 May 3. PubMed 16752182 ↗
  • Onat A, Can G, Hergenc G, Yazici M, Karabulut A, Albayrak S. Serum apolipoprotein B predicts dyslipidemia, metabolic syndrome and, in women, hypertension and diabetes, independent of markers of central obesity and inflammation. Int J Obes (Lond). 2007 Jul;31(7):1119-25. doi: 10.1038/sj.ijo.0803552. Epub 2007 Feb 13. PubMed 17299378 ↗
  • Pencina KM, Pencina MJ, Dufresne L, Holmes M, Thanassoulis G, Sniderman AD. An adverse lipoprotein phenotype-hypertriglyceridaemic hyperapolipoprotein B-and the long-term risk of type 2 diabetes: a prospective, longitudinal, observational cohort study. Lancet Healthy Longev. 2022 May;3(5):e339-e346. doi: 10.1016/S2666-7568(22)00079-4. Epub 2022 May 4. PubMed 36098309 ↗
  • Richardson TG, Wang Q, Sanderson E, Mahajan A, McCarthy MI, Frayling TM, Ala-Korpela M, Sniderman A, Smith GD, Holmes MV. Effects of apolipoprotein B on lifespan and risks of major diseases including type 2 diabetes: a mendelian randomisation analysis using outcomes in first-degree relatives. Lancet Healthy Longev. 2021 Jun;2(6):e317-e326. doi: 10.1016/S2666-7568(21)00086-6. Epub 2021 May 21. PubMed 34729547 ↗
  • Lamantia V, Bissonnette S, Beaudry M, Cyr Y, Rosiers CD, Baass A, Faraj M. EPA and DHA inhibit LDL-induced upregulation of human adipose tissue NLRP3 inflammasome/IL-1beta pathway and its association with diabetes risk factors. Sci Rep. 2024 Nov 7;14(1):27146. doi: 10.1038/s41598-024-73672-6. PubMed 39511203 ↗
  • Bissonnette S, Lamantia V, Ouimet B, Cyr Y, Devaux M, Rabasa-Lhoret R, Chretien M, Saleh M, Faraj M. Native low-density lipoproteins are priming signals of the NLRP3 inflammasome/interleukin-1beta pathway in human adipose tissue and macrophages. Sci Rep. 2023 Nov 1;13(1):18848. doi: 10.1038/s41598-023-45870-1. PubMed 37914804 ↗

Individual participant data

Plan to share: No — Frozen plasma and white adipose tissue samples (when available in sufficient quantity) may be shared with other investigators for analysis. However, all statistical analyses incorporating the complete participant data will be conducted exclusively by the IRCM research team, in accordance with the Information and Consent Form signed by the participants

09

Updates

1 registry update since Sep 25, 2026
Status
Not yet recruiting→Recruiting
changed Oct 8, 2026
Sites
Institut de recherches cliniques de Montréal (IRCM) is now Recruiting
Oct 8, 2026
Start date
Jul 2026→Oct 5, 2026 (actual)
Oct 8, 2026
Sponsor
Collaborators added: Health Canada
Oct 8, 2026
Show all 1 update
  1. Oct 8, 2026
    Not yet recruiting→Recruiting
    Institut de recherches cliniques de Montréal (IRCM) is now Recruiting
    Start date Jul 2026→Oct 5, 2026 (now actual)
    Sponsor Collaborators added: Health Canada
    + 1 other change: verification date

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07575438
Lead sponsor
May Faraj, PDt, PhD
Collaborators
Diabetes Canada, Health Canada
Responsible party
May Faraj, PDt, PhD (Professor, Institut de Recherches Cliniques de Montreal) — Sponsor-investigator
First posted
May 8, 2026
Start date
Oct 5, 2026
Primary completion
Dec 31, 2029 (estimated)
Completion
Dec 31, 2029 (estimated)
Last update
Oct 8, 2026

Study contacts

Justine Fricher, M.Sc.
Contact
t2dresearch@ircm.qc.ca
514-987-5500 ext. 3260
Clinical coordinator and nurse
Contact
t2dresearch@ircm.qc.ca
514-987-5655
May Faraj, P.Dt., Ph.D.
principal investigator · Institut de recherches cliniques de Montréal (IRCM)/ Université de Montréal

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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