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Bioavailability of SPMs in Obese Humans

Bioavailability of Specialized Pro-resolving Mediators in Obese Humans

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04701138
Enrollment
24
Registered
2021-01-08
Start date
2021-02-04
Completion date
2021-06-18
Last updated
2022-06-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity Adult Onset

Brief summary

Research Question: Does 4 weeks of supplementation with 'SPM Active' lead to a statistically significant increase in plasma SPM concentration for obese human subjects? Primary Aim 1: To compare plasma SPM concentrations and immunological fitness pre- and post- oral SPM administration in the obese. * Aim 1a: To quantify plasma SPM concentrations in plasma (pg/mL), serum (pg/mL) and PBMCs before and after 4 weeks of supplementation with 'SPM Active.' The concentration of SPMs in plasma, in addition to other PUFA-derived metabolites that share the same enzymatic pathways as SPMs, will be established at baseline and post-intervention using mass spectrometry-based metabololipidomics. * Aim 1b: To measure in vitro antibody responses of B cells in PBMC pool with in vitro stimulation and cytokine production before and after 4 weeks of supplementation with 'SPM Active.' In addition, researchers will quantify the relative abundance of differing immune cell populations.

Detailed description

Purpose: Specialized pro-resolving mediators (SPMs) are a superfamily of lipid metabolites, predominantly derived from the n-3 polyunsaturated fatty acids (PUFAs) eicosapentaenoic (EPA) and docosahexaenoic acids (DHA). Previous research has established that obese mice and humans have lower circulating levels of SPMs relative to lean controls. In this study, SPMs will be administered as a dietary supplement to obese human subjects to establish: 1) their bioavailability in plasma, serum and peripheral blood mononuclear cells (PBMCs) and 2) their effects on immune cell abundance and in vitro antibody production. The rationale for focusing on immune cells is that SPMs may be targeting their abundance and phenotype. This study does not intend to make any health or health-related claims. Participants: A total of 24 (n=12 men + 12 women) obese (BMI 30-40 kg/m2) euglycemic and pre-diabetic subjects (fasting glucose 70-125 mg/dL or HbA1c of 5.7-6.4%) aged 50-65 years will be recruited by Dr. Erik Butler from the UNC Family Medicine Center in Chapel Hill. Procedures (methods): This is a non-randomized uncontrolled clinical trial. The study will provide the intervention 'SPM Active' provided by Metagenics. All subjects will be advised to take 4 capsules per day (2 capsules with breakfast and 2 capsules with dinner) of 'SPM Active' for 4 weeks total. Each capsule contains 145 mg of SPMs for a total daily dose of 580 mg. Fasting blood will be drawn pre- and post-intervention using phlebotomy available under the direction of Dr. Butler. The scientific approach will rely on mass-spectrometry based metabololipidomics, immunophenotyping with flow cytometry, and anthropomorphic/blood pressure/BMI measurements (anthropometric measures are only intended for use in statistical analysis for confounding variables).

Interventions

DIETARY_SUPPLEMENTSPM Active

Each capsule contains 145 mg of SPMs (fractionated marine lipids standardized to 18-HEPE, 14-HDHA, and 17-HDHA). All subjects will take 4 capsules orally each day for a total daily dose of 580 mg.

Sponsors

Metagenics, Inc.
CollaboratorINDUSTRY
North Carolina Translational and Clinical Sciences Institute
CollaboratorOTHER
University of North Carolina, Chapel Hill
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
50 Years to 65 Years
Healthy volunteers
No

Inclusion criteria

* 24 (n=12 male + 12 female) obese (BMI 30-40 kg/m\^2) subjects with age 50-65 years who are euglycemic and pre-diabetic (i.e. fasting glucose 70-125 mg/dL or HbA1c of 5.7-6.4%). * Only post-menopausal females will be recruited in the female cohort to reduce the confounding effects of estrogen on lipid metabolism during supplementation.

Exclusion criteria

* Those with fasting glucose values \> 126 mg/dL or known type 2 diabetes * Females who are pre-menopausal, pregnant, planning to become pregnant, breastfeeding or lactating * Subjects consuming n-3 PUFA supplements in the last 3 months prior to enrollment, high consumption of fatty fish (\>2 servings per week), and subjects with active autoimmune disease, liver disease, coagulopathy, hypothyroidism, known allergy to fish or shellfish, inability to give informed consent, or taking anticoagulants (e.g. warfarin and direct-acting anticoagulants), those taking estrogen or testosterone, and anyone taking daily aspirin, NSAIDs, or active asthma medications. * Subjects receiving immunomodulatory or immunosuppressant therapy (corticosteroids or monoclonal antibodies) in the 4 weeks prior to study enrollment, and subjects with known active malignancy or undergoing treatment for malignancy will be excluded. * Subjects who test positive for COVID-19 or have tested positive in the past will be excluded. Those who report COVID-19 or flu-like symptoms will be excluded, as well as those that fail to pass COVID-19 screening at baseline.

Design outcomes

Primary

MeasureTime frameDescription
Mean Pro-inflammatory & Pro-resolving MetabolitesFrom Baseline (Week 1/Day1) through 28 to 30 days of supplementationMass spectrometry metabololipidomics analysis will be performed on plasma samples from pre/post supplementation blood draws to measure SPM concentrations. The study was powered to measure the following molecules of interest: 14-HDHA, 17-HDHA, and 18-HEPE.

Secondary

MeasureTime frameDescription
Mean White Blood Cell PopulationsFrom Baseline (Week 1/Day1) through 28 to 30 days of supplementationImmunological phenotyping of blood peripheral mononuclear cells (PBMC) using flow cytometry will identify key immune cell populations pre/post supplementation. PBMC analyses represent B cell populations, monocyte populations, natural killer cell populations, and T cell populations. The relative abundance was calculated using two different flow cytometry panels with fluorescently labeled antibodies. The first panel measured the relative abundance of all B cell subsets, monocyte subsets, and NK cell subsets (i.e., all subsets within error add up to 1.0). The second panel measured the relative abundance of CD4 T cell subsets, CD8 T cell subsets, and NKT cells (i.e., all subsets within error add up to 1.0).

Other

MeasureTime frameDescription
Antibody Concentrations in CultureFrom Baseline (Week 1/Day1) through 28 to 30 days of supplementationB cells isolated from collected blood samples will be cultured in-vitro and stimulated with an antigen & produced antibody concentrations will be measured via ELISA. This will be done for pre & post blood samples.

Countries

United States

Participant flow

Participants by arm

ArmCount
Dietary Supplement
All subjects will receive the intervention (SPM Active Supplement) SPM Active: Each capsule contains 145 mg of SPMs (fractionated marine lipids standardized to 18-HEPE, 14-HDHA, and 17-HDHA). All subjects will take 4 capsules orally each day for a total daily dose of 580 mg.
23
Total23

Baseline characteristics

CharacteristicDietary Supplement
Age, Continuous56 years
Body Mass Index (BMI)33.1 Kg/m^2
Ethnicity (NIH/OMB)
Hispanic or Latino
0 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
23 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
Height170.2 cm
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
1 Participants
Race (NIH/OMB)
Black or African American
5 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
1 Participants
Race (NIH/OMB)
White
16 Participants
Region of Enrollment
United States
23 Participants
Sex: Female, Male
Female
13 Participants
Sex: Female, Male
Male
10 Participants
Weight96.4 Kg

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 24
other
Total, other adverse events
0 / 24
serious
Total, serious adverse events
0 / 24

Outcome results

Primary

Mean Pro-inflammatory & Pro-resolving Metabolites

Mass spectrometry metabololipidomics analysis will be performed on plasma samples from pre/post supplementation blood draws to measure SPM concentrations. The study was powered to measure the following molecules of interest: 14-HDHA, 17-HDHA, and 18-HEPE.

Time frame: From Baseline (Week 1/Day1) through 28 to 30 days of supplementation

ArmMeasureGroupValue (MEAN)Dispersion
Dietary SupplementMean Pro-inflammatory & Pro-resolving MetabolitesPost 18-HEPE11.3 ng/mLStandard Deviation 10.3
Dietary SupplementMean Pro-inflammatory & Pro-resolving MetabolitesPre 14-HDHA15.6 ng/mLStandard Deviation 11.5
Dietary SupplementMean Pro-inflammatory & Pro-resolving MetabolitesPost 14-HDHA12.2 ng/mLStandard Deviation 5.4
Dietary SupplementMean Pro-inflammatory & Pro-resolving MetabolitesPre 17-HDHA6.6 ng/mLStandard Deviation 4.9
Dietary SupplementMean Pro-inflammatory & Pro-resolving MetabolitesPost 17-HDHA8.1 ng/mLStandard Deviation 4.6
Dietary SupplementMean Pro-inflammatory & Pro-resolving MetabolitesPre 18-HEPE8.0 ng/mLStandard Deviation 6.2
Secondary

Mean White Blood Cell Populations

Immunological phenotyping of blood peripheral mononuclear cells (PBMC) using flow cytometry will identify key immune cell populations pre/post supplementation. PBMC analyses represent B cell populations, monocyte populations, natural killer cell populations, and T cell populations. The relative abundance was calculated using two different flow cytometry panels with fluorescently labeled antibodies. The first panel measured the relative abundance of all B cell subsets, monocyte subsets, and NK cell subsets (i.e., all subsets within error add up to 1.0). The second panel measured the relative abundance of CD4 T cell subsets, CD8 T cell subsets, and NKT cells (i.e., all subsets within error add up to 1.0).

Time frame: From Baseline (Week 1/Day1) through 28 to 30 days of supplementation

ArmMeasureGroupValue (MEAN)Dispersion
Dietary SupplementMean White Blood Cell PopulationsPre NK CD3-CD56HICD16+0.01 Relative abundanceStandard Deviation 0.01
Dietary SupplementMean White Blood Cell PopulationsPre CD4+ T Cells0.32 Relative abundanceStandard Deviation 0.07
Dietary SupplementMean White Blood Cell PopulationsPost CD4+ T Cells0.33 Relative abundanceStandard Deviation 0.05
Dietary SupplementMean White Blood Cell PopulationsPre Activated CD4+ T Cells0.02 Relative abundanceStandard Deviation 0.01
Dietary SupplementMean White Blood Cell PopulationsPost Activated CD4+ T Cells0.03 Relative abundanceStandard Deviation 0.01
Dietary SupplementMean White Blood Cell PopulationsPre Non-Activated CD4+ T Cells0.30 Relative abundanceStandard Deviation 0.07
Dietary SupplementMean White Blood Cell PopulationsPost Non-Activated CD4+ T Cells0.30 Relative abundanceStandard Deviation 0.05
Dietary SupplementMean White Blood Cell PopulationsPre CD8 T Cells0.17 Relative abundanceStandard Deviation 0.07
Dietary SupplementMean White Blood Cell PopulationsPost CD8 T Cells0.16 Relative abundanceStandard Deviation 0.05
Dietary SupplementMean White Blood Cell PopulationsPre Activated CD8 T Cells0.02 Relative abundanceStandard Deviation 0.01
Dietary SupplementMean White Blood Cell PopulationsPost Activated CD8 T Cells0.03 Relative abundanceStandard Deviation 0.02
Dietary SupplementMean White Blood Cell PopulationsPre Non-Activated CD8 T Cells0.15 Relative abundanceStandard Deviation 0.06
Dietary SupplementMean White Blood Cell PopulationsPost Non-Activated CD8 T Cells0.13 Relative abundanceStandard Deviation 0.03
Dietary SupplementMean White Blood Cell PopulationsPre NKT Cells0.02 Relative abundanceStandard Deviation 0.01
Dietary SupplementMean White Blood Cell PopulationsPost NKT Cells0.02 Relative abundanceStandard Deviation 0.01
Dietary SupplementMean White Blood Cell PopulationsPre B Cells0.39 Relative abundanceStandard Deviation 0.08
Dietary SupplementMean White Blood Cell PopulationsPost B Cells0.37 Relative abundanceStandard Deviation 0.11
Dietary SupplementMean White Blood Cell PopulationsPre Plasma Cells0.02 Relative abundanceStandard Deviation 0.01
Dietary SupplementMean White Blood Cell PopulationsPost Plasma Cells0.02 Relative abundanceStandard Deviation 0.01
Dietary SupplementMean White Blood Cell PopulationsPre Follicular B Cells0.01 Relative abundanceStandard Deviation 0.01
Dietary SupplementMean White Blood Cell PopulationsPre NK CD3-CD56dimCD16+0.02 Relative abundanceStandard Deviation 0.01
Dietary SupplementMean White Blood Cell PopulationsPost Follicular B Cells0.01 Relative abundanceStandard Deviation 0
Dietary SupplementMean White Blood Cell PopulationsPre B Regs0.08 Relative abundanceStandard Deviation 0.04
Dietary SupplementMean White Blood Cell PopulationsPost B Regs0.07 Relative abundanceStandard Deviation 0.04
Dietary SupplementMean White Blood Cell PopulationsPre Classical Monocytes0.06 Relative abundanceStandard Deviation 0.02
Dietary SupplementMean White Blood Cell PopulationsPost Classical Monocytes0.06 Relative abundanceStandard Deviation 0.03
Dietary SupplementMean White Blood Cell PopulationsPre Intermediate Monocytes0.00 Relative abundanceStandard Deviation 0
Dietary SupplementMean White Blood Cell PopulationsPost Intermediate Monocytes0.01 Relative abundanceStandard Deviation 0
Dietary SupplementMean White Blood Cell PopulationsPre Non-Classical Monocytes0.11 Relative abundanceStandard Deviation 0.06
Dietary SupplementMean White Blood Cell PopulationsPost Non-Classical Monocytes0.10 Relative abundanceStandard Deviation 0.07
Dietary SupplementMean White Blood Cell PopulationsPre NK CD3-CD56HICD16-0.01 Relative abundanceStandard Deviation 0
Dietary SupplementMean White Blood Cell PopulationsPost NK CD3-CD56HICD16-0.02 Relative abundanceStandard Deviation 0.03
Dietary SupplementMean White Blood Cell PopulationsPost NK CD3-CD56HICD16+0.02 Relative abundanceStandard Deviation 0.01
Dietary SupplementMean White Blood Cell PopulationsPre NK CD3-CD56dimCD16-0.23 Relative abundanceStandard Deviation 0.09
Dietary SupplementMean White Blood Cell PopulationsPost NK CD3-CD56dimCD16-0.22 Relative abundanceStandard Deviation 0.08
Dietary SupplementMean White Blood Cell PopulationsPost NK CD3-CD56dimCD16+0.02 Relative abundanceStandard Deviation 0.01
Dietary SupplementMean White Blood Cell PopulationsPre NK CD3-CD56-CD16+0.05 Relative abundanceStandard Deviation 0.03
Dietary SupplementMean White Blood Cell PopulationsPost NK CD3-CD56-CD16+0.08 Relative abundanceStandard Deviation 0.08
Other Pre-specified

Antibody Concentrations in Culture

B cells isolated from collected blood samples will be cultured in-vitro and stimulated with an antigen & produced antibody concentrations will be measured via ELISA. This will be done for pre & post blood samples.

Time frame: From Baseline (Week 1/Day1) through 28 to 30 days of supplementation

Population: One participant's sample was removed from all B cell isolation and stimulation studies (ELISA data) due to PBMC cell death upon sample freezing.

ArmMeasureGroupValue (MEAN)Dispersion
Dietary SupplementAntibody Concentrations in CulturePre IgM465801.89 ng/mLStandard Deviation 217732.43
Dietary SupplementAntibody Concentrations in CulturePost IgM457833.05 ng/mLStandard Deviation 238874.79
Dietary SupplementAntibody Concentrations in CulturePre IgG1024891.3 ng/mLStandard Deviation 394612.17
Dietary SupplementAntibody Concentrations in CulturePost IgG789525.69 ng/mLStandard Deviation 320595.08

Source: ClinicalTrials.gov · Data processed: Feb 17, 2026