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Completed

NCT Number: NCT03143075

Do Omega-3 Fatty Acids Have an Antidepressant Effect in Patients With Signs of Peripheral Inflammation?

In this study, the investigators will stratify depressed subjects a priori based on CRP levels to test the hypothesis that eicosapentaenoic (EPA) would be more efficacious to treat depression in subjects with high CRP levels compared to subjects with low CRP levels.

Depressed subjects, with ongoing stabilized antidepressive treatment who remain clinically depressed, will be enrolled in an "Inflammation group" or in a "Non-inflammation group" depending on baseline levels of CRP. Subjects in both groups will receive EPA enriched omega-3 fatty acids for 8 weeks, added to their pre-stabilized antidepressant medication.

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Key information

Age range

18 year–80 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Lund University, Dept of Psychiatry

Lund, 221 85, Sweden

About this study

Background

Increased mean levels of peripheral inflammatory markers have repeatedly been reported in individuals with major depression compared to controls, although there is considerable overlap between groups. As further evidence for a role of inflammation in major depression, 20-60% of patients receiving treatment for viral hepatitis and certain forms of cancer with the cytokine interferon-alpha will develop depressive symptoms. Interestingly, some authors have suggested that the association between inflammation and depression is symptom specific, i.e. there might be a subtype of "inflammation-related depression" with a specific phenotype. Although it still remains unclear if the immune abnormalities often seen in depressed subjects derive from changes in the periphery or in the central nervous system (or both), animal studies have shown that by counteracting the effects of pro-inflammatory cytokines in either the blood or the brain, depressive-like behavior in animals can be mitigated. These animal studies, along with data from several clinical studies pertaining to this, suggest that interventions primarily targeting peripheral inflammation may be useful in treating psychiatric symptoms. Although the exact mechanisms by which increased inflammation may give rise to depressive symptoms remain unclear, there are several potential downstream pathways that may be involved including accelerated cellular aging, mitochondrial dysfunction, and oxidative stress.

In search for a potential antidepressant that could be tested in clinical trials in which subjects are selected a priori based on inflammatory markers, the investigators turn to eicosapentaenoic (EPA), an omega-3 (n-3) fatty acid with anti-inflammatory properties. The ability of dietary n-3 fatty acids to mitigate the inflammatory response has been shown in human and animal studies. EPA and Docosahexaenoic acid (DHA) are the two major n-3 fatty acids found in oily fish and fish oil supplements, and both have shown anti-inflammatory properties. Supplementation of EPA and DHA in individuals with cardiovascular disease results in decreased plasma levels of CRP. N-3 fatty acids also have several other anti-inflammatory properties including i) Decreased chemotaxis of neutrophils and monocytes, ii) Decreased expression of adhesion molecules (e.g. ICAM & VCAM) on the surface of immune cells and in the circulation, iii) Decreased production of prostaglandins, iv) Increased synthesis of anti-inflammatory molecules such as resolvins and protectins, and v) Inhibition of T-cell proliferation. The mechanisms underlying these effects are not fully understood but likely involves n-3 fatty acids acting via cell surface and intracellular receptors controlling inflammatory cell signaling and gene expression patterns. In addition to the well-established anti-inflammatory effects of n-3 fatty acids, they may also have beneficial effects on oxidative stress and cell aging parameters such as leukocyte telomere length and telomerase activity. However, more research is needed in order to confirm these relationships, and therefore the investigators will, in addition to assessing inflammatory markers, also study the effects of n-3 fatty acids on markers of cellular aging and oxidative stress.

Some, but not all, previous studies have shown that EPA is superior to placebo in treating unipolar or bipolar depression. Several caveats have, however, been issued when interpreting the results from these studies, including small and perhaps clinically irrelevant effect sizes, as well as potential publication bias. Generally, n-3 preparations with high doses of EPA relative to DHA have been shown to be more efficacious in treating depression. Interestingly, a double blind placebo-controlled RCT showed that that EPA (but not DHA) was effective in preventing interferon-alpha induced depression in hepatitis C subjects, consistent with the notion that EPA may have antidepressant effect in "inflammatory depression". In line with this notion, a recent a proof-of-concept study showed that high inflammation at baseline was associated with a better antidepressant effect of EPA, but not DHA, enriched n-3 compared to placebo. That study stratified subjects post-hoc based on inflammatory markers, whereas our approach will be to select study subjects a priori based on validated cut-offs for CRP. This is the next step in developing a personalized medicine paradigm for depression.

The main aims of the study are to test if i) EPA enriched n-3 (added to stabilized ongoing treatment) is efficacious in treating depressed patients, but only in subjects with prospectively ascertained elevations in baseline CRP, ii) Changes in inflammatory markers over the course of treatment mediate this effect, and iii) Clinical trial designs utilizing prospectively-ascertained biomarkers to predict response are feasible and thereby pave the way for personalized medicine in psychiatry.

Specific objective 1: To determine whether the antidepressant effect of n-3 EPA is greater in the Inflammation group than in the Non-inflammation group, controlling for baseline depression rating.

Hypothesis (H) 1: The antidepressant effect of n-3 EPA is greater in the Inflammation group than in the Non-inflammation group.

Specific objective 2: To determine whether changes in inflammatory, oxidative stress and cell aging markers from baseline to end of treatment correlate with antidepressant effect.

H 2: Change in inflammatory and cell aging markers with n-3 EPA treatment will be directly correlated with changes in depression ratings.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Male/female, aged 18-80.
  • Fulfilling the DSM criteria for a current depressive episode, unipolar (symptom duration> 4 weeks) as determined by the study physician
  • HAM-D-17 score ≥ 15 (Rapaport, Nierenberg et al. 2016)
  • A Clinical Global Impression Severity Score ≥ 3 (Rapaport, Nierenberg et al. 2016)
  • All subjects should be stable on antidepressants or mood stabilizers ≥6 weeks.
  • Willing to not significantly modify their diet from the time they sign consent through the end of study participation.

Exclusion criteria

  • Serious or unstable medical illness that in the investigator's opinion could compromise response to treatment or interpretation of study results. Examples: Malignancy not in remission for at least 1 year, Active autoimmune disorder or inflammatory bowel disease, Insulin-dependent diabetes mellitus.
  • Known or suspected allergy to the study compounds.
  • Ongoing infection.
  • Ongoing pregnancy or breast-feeding
  • A diagnosis of psychotic disorder, bipolar disorder, mental retardation dementia, or individual whom, due to other causes, lack the ability to make an informed decision.
  • Ongoing ECT.
  • Concomitant use of anticoagulants or known bleeding disorder.
  • Patients who, in the investigator's judgment, pose a current, serious suicidal or homicidal risk.
  • A diagnosis for any Substance Use Disorder (except nicotine or caffeine) in the 3 months prior to the screening visit.
  • Any medications (within 1 week of baseline or during the trial) that might confound the biomarker findings, including: Regular ingestion of NSAIDs or COX-2 inhibitors, or any use of oral steroids, immunosuppressants, interferon, chemotherapy (Patients will be instructed not to take an NSAID, COX-2 inhibitor or Aspirin in the 24 hours prior to a biomarker assessment visit).
  • Patients who have taken supplements with omega-3 fatty acids for more than three consecutive days in the preceding month.
  • Within 4 weeks of starting psychotherapy or planning to start psychotherapy during the study
  • Active participation in other clinical studies with ongoing study visits

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Treatment and study plan

Eicosapentaenoic acid enriched omega-3 fatty acids, 2 g/day

Dietary Supplement

Eicosapentaenoic acid enriched omega-3 fatty acids, 2 g/day, added to pre-stabilized antidepressant medication

Primary outcomes

  1. Reduction in depressive symptoms

    Time frame: 8 weeks

    Absolute difference between baseline and week 8 of the total sum of the HAM-D-17

Secondary outcomes

  1. Response

    Time frame: 8 weeks

    Clinical "response" is defined as a 50% or greater reduction in depressive symptoms after treatment.

  2. Change in depressed mood

    Time frame: 8 weeks

    Change in score on HAM-D-17 item # 1 "Depressed mood" (Hieronymus et al., 2015)

  3. Absolute change in "inflammatory depressive symptoms"

    Time frame: 8 weeks

    Some depression symptoms such as anhedonia, fatigue and sleep or appetite disturbances may be more strongly linked with inflammation than others (Jokela, Virtanen et al. 2016, Miller, Haroon et al. 2016). "Inflammatory depressive symptoms", will defined as defined as a total composite score of the following items from the Patient Health Questionnaire-9 (PHQ-9)) (Kroenke, Spitzer et al. 2001): item 3 (sleep problems), item 4 (lack of energy), and item 5 (appetite disturbance).

  4. Improvement in functioning and quality of life.

    Time frame: 8 weeks

    WHO Disability Assessment Schedule

  5. Absolute change in general Anxiety symptoms

    Time frame: 8 weeks

    Generalized Anxiety Disorder-7 (GAD-7), self rating scale

  6. Absolute change in IL-6 and TNF-alpha

    Time frame: 8 weeks

    IL-6, TNF-alpha (pg/ml)

  7. Absolute change in CRP, leptin, adiponectin

    Time frame: 8 weeks

    CRP, leptin, adiponectin (mg/L)

  8. Absolute change in oxidative stress marker F2 Isoprostanes

    Time frame: 8 weeks

    F2-Isoprostanes (ng/ml)

  9. Absolute change in oxidative stress marker 8-OHdG

    Time frame: 8 weeks

    8-OH 2-deoxyguanosine (pmol/mikrog DNA)

  10. Absolute change in oxidative stress marker glutathione

    Time frame: 8 weeks

    Glutathione (mikroM)

  11. Absolute change in metabolic markers

    Time frame: 8 weeks

    Cholesterol, triglycerides, glucose (mg/dL)

  12. Absolute change in antioxidant glutathione peroxidase

    Time frame: 8 weeks

    Glutathione peroxidase (nmole NADPH/ml/min)

  13. Absolute change in vascular cell adhesion molecule (VCAM) and intracellular adhesion molecule (ICAM)

    Time frame: 8 weeks

    ICAM, VCAM (ng/ml)

  14. Absolute change in leukocyte telomerase activity

    Time frame: 8 weeks

    leukocyte telomerase activity (units/10 000 cells)

  15. Absolute change in leukocyte telomere length

    Time frame: 8 weeks

    leukocyte telomere length (base pairs)

  16. Absolute change in circulating cell-free mitochondrial DNA (ccf mtDNA)

    Time frame: 8 weeks

    ccf mtDNA (units/mikrolitre plasma)

  17. Number of dropouts (due to side effects)

    Time frame: 8 weeks

    Number of dropouts (due to side effects)

  18. Remission in depressive symptoms

    Time frame: 8 weeks

    "Remission" is defined as post-treatment HAM-D-17 ratings of < 7

Sponsors and collaborators

Lead sponsor

Region Skane

Other

Collaborators

  • University of California, San Francisco

Registry information

Important dates

Study start
2017
Primary completion
2023
Study completion
2023
First posted
May 8, 2017
Registry last updated
Nov 18, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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