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The purpose of this research is to determine the role of a type of immune cell in blood, called a non-classical monocytes (NCMs), following consumption of a high-fat meal. Previous studies have found that monocytes are important for blood vessel health. In this study, two different high-fat meals will be used to study the effect of different types of dietary fat on postprandial NCMs. The investigators will characterize NCMs in both fasting conditions and following consumption of two different high-fat meals, and will evaluate whether the type of fat in a meal affects NCMs in blood.
Monocytes are a heterogeneous population of circulating blood cells that contribute to tissue integrity as well as to innate and adaptive immune defense. There are three well-characterized subsets based on their relative expression of surface antigens, cluster of differentiation 14 (CD14) and cluster of differentiation 16 (CD16). Monocytes originate from myeloid precursors in the bone marrow and enter the circulation as classical monocytes (CLMs). CLMs represent a transient cell population with a diverse differentiation potential. CLMs comprise 80-90% of the circulating blood monocyte pool and remain in circulation for approximately one day before either migrating into tissue to repopulate the tissue resident macrophage population or maturing into non-classical monocytes (NCMs). NCMs comprise only 5-10% of the circulating blood monocyte pool but have a much longer circulating lifespan of approximately 7 days. NCMs exhibit conflicting functions as anti-inflammatory caretakers of vascular tissue and as contributors to the pathogenesis of disease.
Metabolic responses to food consumption influence the risk of cardiometabolic disease. Postprandial glycemia and lipemia modulate vascular health by altering endothelial function and inducing oxidative stress, inflammation, and apoptosis. Consumption of a single high-fat meal increases circulating interleukin 6 (IL-6), enhances expression of monocyte adhesion molecules, reduces flow-mediated dilation, and increases markers of oxidative stress in human subjects. Although NCMs are described as vascular housekeepers with distinct motility and crawling patterns allowing them to actively surveil endothelium and scavenge luminal debris, their role in the postprandial state is currently unknown.
To better understand the function of postprandial NCMs following consumption of a single high-fat mixed macronutrient challenge meal, the investigators propose a study following a crossover design in which participants will consume one of two isocaloric high-fat challenge meals spaced two-weeks apart, a high-saturated fat mixed macronutrient challenge meal or a high-monounsaturated fat mixed macronutrient challenge meal. Blood at fasting and at six hours postprandial will be collected and the proportion of NCMs and their integrin expression will be analyzed by flow cytometry while changes in global gene expression will be measured by RNA-sequencing.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| High saturated fat challenge meal followed by high mono-unsaturated fat challenge meal | Experimental | High saturated fat mixed macronutrient challenge meal with palm oil followed by high mono-unsaturated fat mixed macronutrient challenge meal with olive oil two weeks later |
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| High mono-unsaturated fat challenge meal followed by high saturated fat challenge meal | Experimental | High mono-unsaturated fat mixed macronutrient challenge meal with olive oil followed by high saturated fat mixed macronutrient challenge meal with palm oil two weeks later |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| High saturated fat challenge meal | Other | High saturated fat challenge meal made with palm oil |
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| Measure | Description | Time Frame |
|---|---|---|
| Change in Monocyte subsets | Monocyte subsets will be analyzed using flow cytometry. Subset analysis will be performed by labeling immune cells with anti-cluster of differentiation antigen 45 (anti-CD45), cluster of differentiation antigen 91 (anti-CD91), anti-CD14, and anti-CD16 fluorescently labeled antibodies. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Measure | Description | Time Frame |
|---|---|---|
| Change in white blood cell count | White blood cell (WBC) count will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in lymphocyte count |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Ryan Snodgrass, PhD | USDA, Western Human Nutrition Research Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| USDA Western Human Nutrition Research Center | Davis | California | 95616 | United States |
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| ID | Term |
|---|---|
| D007249 | Inflammation |
| ID | Term |
|---|---|
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| High mono unsaturated fat challenge meal | Other | High mono unsaturated fat challenge meal made with olive oil |
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Lymphocyte (LY) count will be measured by a DxH 520 Hematology analyzer.
| Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in monocyte count | Monocyte (MO) count will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in change in neutrophil granulocyte count | Neutrophil granulocyte (NE) count will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in eosinophil count | Eosinophil (EO) count will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in basophil count | Basophil (BA) count will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in red blood cell count | Red blood cell (RBC) count will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in hemoglobin | Hemoglobin (HGB) will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in hematocrit | Hematocrit (HCT) will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in mean corpuscular volume | Mean corpuscular volume (MCV) will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in mean corpuscular hemoglobin | Mean corpuscular hemoglobin (MCH) will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in mean corpuscular hemoglobin concentration | Mean corpuscular hemoglobin concentration (MCHC) will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in red blood cell distribution width | Red blood cell distribution width (RDW) will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in red blood cell distribution width standard deviation | Red blood cell distribution width standard deviation (RDW-SD) will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in platelet count | Platelet (PLT) count will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in mean platelet volume | Mean platelet volume (MPV) will be measured by a DxH 520 Hematology analyzer. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in CD45 gene expression | Transcriptional changes in non-classical and classical monocytes will be measured by RNA-sequencing following the isolation of non-classical monocytes from peripheral blood by fluorescence-activated cell sorting (FACS) using anti-CD45 fluorescently labeled antibodies. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in CD91 gene expression | Transcriptional changes in non-classical and classical monocytes will be measured by RNA-sequencing following the isolation of non-classical monocytes from peripheral blood by fluorescence-activated cell sorting (FACS) using anti-CD91 fluorescently labeled antibodies. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in CD14 gene expression | Transcriptional changes in non-classical and classical monocytes will be measured by RNA-sequencing following the isolation of non-classical monocytes from peripheral blood by fluorescence-activated cell sorting (FACS) using anti-CD14 fluorescently labeled antibodies. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in CD16 gene expression | Transcriptional changes in non-classical and classical monocytes will be measured by RNA-sequencing following the isolation of non-classical monocytes from peripheral blood by fluorescence-activated cell sorting (FACS) using anti-CD16 fluorescently labeled antibodies. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in expression of very late antigen-4 | Monocyte adhesion molecule expression of very late antigen-4 (VLA-4) will be assessed using flow cytometry. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in expression of C-X3-C motif chemokine receptor 1 | Monocyte adhesion molecule expression of C-X3-C motif chemokine receptor 1 (CX3CR1) will be assessed using flow cytometry. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in expression of Notch2 | Monocyte adhesion molecule expression of Notch2 will be assessed using flow cytometry. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in expression of colony stimulating factor 1 receptor | Monocyte adhesion molecule expression of colony stimulating factor 1 receptor (CSFR1) will be assessed using flow cytometry. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in expression of scavenger receptor class B, member 3 | Monocyte adhesion molecule expression of scavenger receptor class B, member 3 (CD36) will be assessed using flow cytometry. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in intensity of filamentous-actin | Filamentous-actin (F-actin) intensity will be assessed using phalloidin. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in levels of interleukin-6 | Plasma markers of systemic inflammation including interleukin-6 will be measured by ELISA. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in levels of interleukin-8 | Plasma markers of systemic inflammation including interleukin-8 will be measured by ELISA. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in levels of C-reactive protein | Acute phase reactants including C-reactive protein (CRP) will be measured by ELISA. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in levels of serum amyloid A | Acute phase reactants including serum amyloid A (SAA) will be measured by ELISA. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in levels of chemokine ligand 2 | Chemokines including chemokine ligand 2 will be measured by ELISA. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in levels of 8-isoprostane F2alpha | Plasma markers of oxidative stress including 8-isoprostane F2alpha will be measured by ELISA. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in soluble cluster of differentiation antigen 146 | Endothelial activation including soluble cluster of differentiation antigen 146 (CD146) will be measured by ELISA. | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in levels of triglycerides | Lipid-related markers including triglycerides will be measured by auto-analyzer, Cobas Integra 400+ instrument | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in levels of total cholesterol | Lipid-related markers including total cholesterol will be measured by auto-analyzer, Cobas Integra 400+ instrument | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in levels of HDL-cholesterol | Lipid-related markers including HDL-cholesterol (HDL-C) will be measured by auto-analyzer, Cobas Integra 400+ instrument | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in levels of LDL-cholesterol | Lipid-related markers including LDL-cholesterol (LDL-C) will be measured by auto-analyzer, Cobas Integra 400+ instrument | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |
| Change in levels of glucose | Plasma glucose will be measured by auto-analyzer, Cobas Integra 400+ instrument | Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days |