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Completed

NCT Number: NCT05792137

Postprandial Monocyte Study

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.

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Key information

Age range

18 year–39 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

USDA Western Human Nutrition Research Center

Davis, California, 95616, United States

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

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

Inclusion criteria

  • BMI 18.5 - 29.9 kg/m²
  • have a bank account and social security number or taxpayer identification for financial compensation

Exclusion criteria

  • Pregnant or lactating women
  • Known allergy or hindering intolerance to study meal ingredients
  • Systolic blood pressure greater than 140 mmHg or diastolic blood pressure greater than 90 mmHg measured
  • Fasting glucose above 105 mg/dL
  • Triglycerides above 150 mg/dL
  • HDL cholesterol less than 40 mg/dL (men) and 50 mg/dL (women)
  • Self-reported history of difficulties with blood drawing procedures including prior fainting or dizziness, or veins assessed as not suitable for four separate venipunctures by licensed phlebotomist
  • Diagnosed active chronic diseases for which the individual is currently taking daily medication, including but not limited to Diabetes mellitus, Cardiovascular disease, Cancer, Gastrointestinal disorders, Kidney disease, Liver disease, Bleeding disorders, Asthma, Autoimmune disorders, Hypertension, Osteoporosis
  • Recent minor surgery (within 4 wk) or major surgery (within 16 wk)
  • History of gastrointestinal surgery, including gastric bypass surgery or resection
  • Recent antibiotic therapy (within 4 wk)
  • Known gallbladder disease or history of cholecystectomy
  • Recent hospitalization (within 4 wk)
  • Use of prescription medications at the time of the study that directly affect endpoints of interest (e.g. hyperlipidemia, glycemic control, steroids, statins, anti-inflammatory agents, and over-the-counter weight loss aids)
  • Current participation in another research study
  • Less than 18 and over 39 years old
  • BMI less than 18.5 and above 29.9 kg/m²
  • Has HIV/AIDS or another disease that affects the immune system
  • Unable to fast for 12 hours
  • Gives regular blood donations and is unwilling to stop during the study
  • Has monocytosis (>0.8 x 10³/microliter) or other abnormalities in hematologic parameters based on a screening complete blood count (CBC) with differential

Treatment and study plan

High saturated fat challenge meal

Other

High saturated fat challenge meal made with palm oil

High mono unsaturated fat challenge meal

Other

High mono unsaturated fat challenge meal made with olive oil

Primary outcomes

  1. Change in Monocyte subsets

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    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.

Secondary outcomes

  1. Change in white blood cell count

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    White blood cell (WBC) count will be measured by a DxH 520 Hematology analyzer.

  2. Change in lymphocyte count

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Lymphocyte (LY) count will be measured by a DxH 520 Hematology analyzer.

  3. Change in monocyte count

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Monocyte (MO) count will be measured by a DxH 520 Hematology analyzer.

  4. Change in change in neutrophil granulocyte count

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Neutrophil granulocyte (NE) count will be measured by a DxH 520 Hematology analyzer.

  5. Change in eosinophil count

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Eosinophil (EO) count will be measured by a DxH 520 Hematology analyzer.

  6. Change in basophil count

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Basophil (BA) count will be measured by a DxH 520 Hematology analyzer.

  7. Change in red blood cell count

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Red blood cell (RBC) count will be measured by a DxH 520 Hematology analyzer.

  8. Change in hemoglobin

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Hemoglobin (HGB) will be measured by a DxH 520 Hematology analyzer.

  9. Change in hematocrit

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Hematocrit (HCT) will be measured by a DxH 520 Hematology analyzer.

  10. Change in mean corpuscular volume

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Mean corpuscular volume (MCV) will be measured by a DxH 520 Hematology analyzer.

  11. Change in mean corpuscular hemoglobin

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Mean corpuscular hemoglobin (MCH) will be measured by a DxH 520 Hematology analyzer.

  12. Change in mean corpuscular hemoglobin concentration

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Mean corpuscular hemoglobin concentration (MCHC) will be measured by a DxH 520 Hematology analyzer.

  13. Change in red blood cell distribution width

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Red blood cell distribution width (RDW) will be measured by a DxH 520 Hematology analyzer.

  14. Change in red blood cell distribution width standard deviation

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Red blood cell distribution width standard deviation (RDW-SD) will be measured by a DxH 520 Hematology analyzer.

  15. Change in platelet count

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Platelet (PLT) count will be measured by a DxH 520 Hematology analyzer.

  16. Change in mean platelet volume

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Mean platelet volume (MPV) will be measured by a DxH 520 Hematology analyzer.

  17. Change in CD45 gene expression

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    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.

  18. Change in CD91 gene expression

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    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.

  19. Change in CD14 gene expression

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    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.

  20. Change in CD16 gene expression

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    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.

  21. Change in expression of very late antigen-4

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Monocyte adhesion molecule expression of very late antigen-4 (VLA-4) will be assessed using flow cytometry.

  22. Change in expression of C-X3-C motif chemokine receptor 1

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Monocyte adhesion molecule expression of C-X3-C motif chemokine receptor 1 (CX3CR1) will be assessed using flow cytometry.

  23. Change in expression of Notch2

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Monocyte adhesion molecule expression of Notch2 will be assessed using flow cytometry.

  24. Change in expression of colony stimulating factor 1 receptor

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Monocyte adhesion molecule expression of colony stimulating factor 1 receptor (CSFR1) will be assessed using flow cytometry.

  25. Change in expression of scavenger receptor class B, member 3

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Monocyte adhesion molecule expression of scavenger receptor class B, member 3 (CD36) will be assessed using flow cytometry.

  26. Change in intensity of filamentous-actin

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Filamentous-actin (F-actin) intensity will be assessed using phalloidin.

  27. Change in levels of interleukin-6

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Plasma markers of systemic inflammation including interleukin-6 will be measured by ELISA.

  28. Change in levels of interleukin-8

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Plasma markers of systemic inflammation including interleukin-8 will be measured by ELISA.

  29. Change in levels of C-reactive protein

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Acute phase reactants including C-reactive protein (CRP) will be measured by ELISA.

  30. Change in levels of serum amyloid A

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Acute phase reactants including serum amyloid A (SAA) will be measured by ELISA.

  31. Change in levels of chemokine ligand 2

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Chemokines including chemokine ligand 2 will be measured by ELISA.

  32. Change in levels of 8-isoprostane F2alpha

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Plasma markers of oxidative stress including 8-isoprostane F2alpha will be measured by ELISA.

  33. Change in soluble cluster of differentiation antigen 146

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Endothelial activation including soluble cluster of differentiation antigen 146 (CD146) will be measured by ELISA.

  34. Change in levels of triglycerides

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Lipid-related markers including triglycerides will be measured by auto-analyzer, Cobas Integra 400+ instrument

  35. Change in levels of total cholesterol

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Lipid-related markers including total cholesterol will be measured by auto-analyzer, Cobas Integra 400+ instrument

  36. Change in levels of HDL-cholesterol

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Lipid-related markers including HDL-cholesterol (HDL-C) will be measured by auto-analyzer, Cobas Integra 400+ instrument

  37. Change in levels of LDL-cholesterol

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Lipid-related markers including LDL-cholesterol (LDL-C) will be measured by auto-analyzer, Cobas Integra 400+ instrument

  38. Change in levels of glucose

    Time frame: Measured from samples taken at 0 hours (fasting) and 6 hours (postprandial) on 2 test days

    Plasma glucose will be measured by auto-analyzer, Cobas Integra 400+ instrument

Sponsors and collaborators

Lead sponsor

USDA, Western Human Nutrition Research Center

Fed

Registry information

Official study title

Western Human Nutrition Research Center (WHNRC) Postprandial Monocyte Study

Acronym: PPMS

Important dates

Study start
2023
Primary completion
2024
Study completion
2024
First posted
Mar 31, 2023
Registry last updated
Mar 12, 2025

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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