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Defining Beef and Meal Frequency as Key Components of a Healthy Eating Pattern for Muscle Health and Wellbeing

Not Applicable
Conditions
Dietary Habits
Muscle Protein Synthesis
Meal Frequency
Interventions
Behavioral: Plant-based Protein Foods
Behavioral: Skewed Protein Distribution
Behavioral: Animal-based Protein Foods
Behavioral: Balanced Protein Distribution
Registration Number
NCT04232254
Lead Sponsor
University of Illinois at Urbana-Champaign
Brief Summary

Adopting a healthy eating pattern is important for meeting dietary recommendations and weight management. Although less clear, it seems reasonable to assume that the eating patterns we typically follow can also affect our psychological wellbeing. As such, healthy eating patterns are often adapted to suit one's personal preference. For example, many people choose to follow a vegetarian-style eating pattern whereby meat, poultry, and seafood are excluded from the diet. However, current research suggests that vegetarian eating patterns may result in decreased synthesis of new muscle proteins when compared to the typical meat-based US-style diet. This ultimately leads to reduced muscle quality and mass which increases the risk of dependence and mobility limitations later in life.

Another important factor to consider when adapting a healthy eating pattern is the frequency and distribution of meals throughout the day. In the US, protein intake is typically skewed throughout the day such that people consume more protein at dinner when compared to breakfast. This skewed distribution combined with a low meal frequency (3 meals per day) can also sacrifice the rate of muscle protein synthesis. As such, it is important to investigate the interaction between food choices, meal frequency, and protein distribution to promote muscle health and prevent development of disease and disability. In addition, it is also important to understand how these eating patterns affect enjoyment and pleasure following meals. This work will help to determine healthy eating patterns that promote muscle health and psychological wellbeing.

Detailed Description

Not available

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
48
Inclusion Criteria
  • Age 20-40
  • Pre-menopausal
  • Recreationally active
  • Weight stable for prior 6 months
  • Consumption of meat-based diet for >6 months
Exclusion Criteria
  • Age outside of range (20 - 40)
  • Pregnancy
  • Irregular menstrual cycles
  • Participation in previous research using 2H2O or [13C6]phenylalanine
  • Participation in other ongoing research that interferes with this study (e.g., conflicting diet, activity interventions, etc.)
  • Any hospitalization or surgery for a metabolic, cardiovascular, or neuromusculoskeletal complication within the past year
  • Allergy or hypersensitivity to local anesthetics, latex, or adhesives (bandages, medical tape, etc.)
  • Excess scarring after injury
  • History of excess bleeding after cut
  • Chronic or frequent dizziness/fainting, and arm or leg weakness/numbness
  • Arthritis
  • Tumors
  • Mental Illness
  • Hepatorenal, cardiovascular musculoskeletal, autoimmune, or neurological disease or disorder
  • Predisposition to hypertrophic scarring or keloid formation
  • Physical activity limitations
  • Consumption of ergogenic-levels of dietary supplements that may affect muscle mass (e.g., creatine, HMB), insulin-like substances, or anabolic/catabolic pro-hormones (e.g., DHEA) within 6 weeks prior to participation
  • Consumption of thyroid, androgenic, or other medications known to affect endocrine function
  • Consumption of medications known to affect protein metabolism (e.g., prescription-strength corticosteroids, nonsteroidal anti-inflammatories, or acne medication)
  • Unwillingness to comply with study procedures
  • Weight unstable (variation >5% of bodyweight in last 6-12 months)
  • Pregnancy
  • Allergy to dairy product or lactose intolerance
  • Current or previous tobacco use with last 6 months
  • Obesity (body mass index; BMI > 30 kg m-2)
  • Score of less than 14 or greater than 24 on Godin-Shephard Leisure-Time Physical Activity Questionnaire

Study & Design

Study Type
INTERVENTIONAL
Study Design
FACTORIAL
Arm && Interventions
GroupInterventionDescription
Plant Protein - Balanced DistributionPlant-based Protein FoodsPlant-based protein foods with 5 meals per day consisting of 20% of dietary protein per meal.
Plant Protein - Skewed DistributionSkewed Protein DistributionPlant-based protein foods with 3 meals per day consisting of 10-, 30-, and 60% of dietary protein for breakfast, lunch, and dinner, respectively.
Animal Protein - Skewed DistributionAnimal-based Protein FoodsAnimal-based protein foods with 3 meals per day consisting of 10-, 30-, and 60% of dietary protein for breakfast, lunch, and dinner, respectively.
Plant Protein - Skewed DistributionPlant-based Protein FoodsPlant-based protein foods with 3 meals per day consisting of 10-, 30-, and 60% of dietary protein for breakfast, lunch, and dinner, respectively.
Animal Protein - Skewed DistributionSkewed Protein DistributionAnimal-based protein foods with 3 meals per day consisting of 10-, 30-, and 60% of dietary protein for breakfast, lunch, and dinner, respectively.
Animal Protein - Balanced DistributionBalanced Protein DistributionAnimal-based protein foods with 5 meals per day consisting of 20% of dietary protein per meal.
Plant Protein - Balanced DistributionBalanced Protein DistributionPlant-based protein foods with 5 meals per day consisting of 20% of dietary protein per meal.
Animal Protein - Balanced DistributionAnimal-based Protein FoodsAnimal-based protein foods with 5 meals per day consisting of 20% of dietary protein per meal.
Primary Outcome Measures
NameTimeMethod
Compare fractional synthesis rate of myofibrillar proteins to different dietary protein food sources and meal frequenciesDay 1 - Day 9

Rate of building new protein in skeletal muscle contractile protein

Compare fractional synthesis rate of myofibrillar proteins to different dietary protein foodDuring the 3-hour post-absorptive period prior to ingestion of a mixed meal containing either plant- or animal based protein and throughout the 5-hour post-prandial period following meal ingestion

Rate of building new protein in skeletal muscle contractile protein

Secondary Outcome Measures
NameTimeMethod
Valence (Pleasantness or Unpleasantness)Immediately prior to workout, immediately post workout, and immediately post meal on habituation days 2, 4, and 6 and intervention days 3, 5, and 7

Measurement of feelings of un/pleasantness via survey responses to a measure of valence (Feeling Scale)

Arousal (Alertness)Immediately prior to workout, immediately post workout, and immediately post meal on habituation days 2, 4, and 6 and intervention days 3, 5, and 7

Measurement of feelings of alertness to via survey responses to a measure of arousal (Activation-Deactivation Adjective Check List).

Plasma Amino Acid ConcentrationDuring the 3-hour post-absorptive period prior to ingestion of a mixed meal containing either plant- or animal based protein and throughout the 5-hour post-prandial period following meal ingestion

Concentration of amino acids in plasma as determined by LC/MS/MS

Plasma Insulin ConcentrationDuring the 3-hour post-absorptive period prior to ingestion of a mixed meal containing either plant- or animal based protein and throughout the 5-hour post-prandial period following meal ingestion

Concentration of insulin plasma as determined via commercially-available ELISA kit

Anabolic SignalingPrior to, 2 hours, and 5 hours following ingestion of a mixed meal containing either plant- or animal based protein

Phosphorylation of anabolic signaling targets as determined via Western blotting

Whole-body Leucine OxidationDuring the 3-hour post-absorptive period prior to ingestion of a mixed meal containing either plant- or animal based protein and throughout the 5-hour post-prandial period following meal ingestion

Leucine oxidation rates will be assessed using the a-\[13C\]ketoisocaproate reciprocal pool model

Trial Locations

Locations (1)

Freer Hall

🇺🇸

Urbana, Illinois, United States

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