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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
TRIPLE
Enrollment
32
High saturated fat challenge meal made with palm oil
High mono unsaturated fat challenge meal made with olive oil
USDA Western Human Nutrition Research Center
Davis, California, United States
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.
Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days
Change in white blood cell count
White blood cell (WBC) count will be measured by a DxH 520 Hematology analyzer.
Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days
Change in lymphocyte count
Lymphocyte (LY) count will be measured by a DxH 520 Hematology analyzer.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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
Time frame: 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
Time frame: 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
Time frame: 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
Time frame: 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
Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days
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