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Completed

NCT Number: NCT04007939

Personal Lifestyle Engine (PLX) - Personal Lifestyle Medicine Center (PLMC)

It has been suggested that the best medicine should include four principles (4P) - Medicine should be personalized, predictive, preventative and participatory. Technology has provided the tools to collect data in ways not previously possible. Individuals can now collect information on their genome (including their genetic predisposition to tolerate medications and to respond to healthy lifestyle programs) that will modify their lifestyle and therapeutic choices. Beyond spot checks of vital signs and weight, individuals can now collect information on body composition, continuous monitoring of heart rate, blood pressure, and even blood sugar. Data on food consumption at a caloric, macronutrient and even micronutrient level can be collected. Standard medical histories and detailed physical examination findings and laboratory biomarkers can be correlated with this data.

Collections of individual patient data will need to be managed through computer programs and smart phone applications that provide direct feedback about the influence of lifestyle on health, wellness and biomarkers. To this end, Metagenics is designing and is launching a smart phone application, Personal Lifestyle Engine (PLX), for individual use by patients and their healthcare providers. The statistical analysis of these data is the primary objective of this study.

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Key information

Conditions

Health, Subjective Autoimmune Diseases Cardiovascular Risk Factor Cognition Disorders Dental Diseases Endocrine System Diseases Gastrointestinal Dysfunction Hormone Disturbance Immune System Diseases Mental Disorders Neurocognitive Disorders Neurocognitive Dysfunction Stomatognathic Diseases

Age range

18 year–80 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Personalized Lifestyle Medicine Center

Gig Harbor, Washington, 98332, United States

About this study

Technology has led to a significant revisioning and modification of the models of medicine in practice today. It has been suggested that the best medicine should include four principles - Medicine should be personalized, predictive, preventative and participatory. This 4P medicine will thus be patient centered with a focus on the person who has the disease and not the disease the person has. It will be predictive as it identifies the preclinical trend/decline towards illness sooner than onset of symptoms that herald the loss of function and health. It will be preventative as the information gathered should offer opportunities to modify these trajectories towards illness and finally it will be participatory as individuals will be intimately involved in the gathering of data to identify trends and in the application of lifestyle measures to improve the quality of their life.

Technology has provided the tools to collect data in ways not previously possible. Individuals can now collect information on their genome (including their genetic predisposition to tolerate medications and to respond to healthy lifestyle programs) that will modify their lifestyle and therapeutic choices. Beyond spot checks of vital signs and weight, individuals can now collect information on body composition, continuous monitoring of heart rate, blood pressure, and even blood sugar. Data on food consumption at a caloric, macronutrient and even micronutrient level can be collected. Standard medical histories and detailed physical examination findings and laboratory biomarkers can be correlated with this data.

As has been noted in the Nathan Price et al. article, "A wellness study of 108 individuals using personal, dense, dynamic data clouds" (PMID: 28714965), a significant challenge to the effective use of these complex sets of individual patient data is how to define the boundaries between disease, average health and optimal wellbeing. To meet this challenge, compiling and analyzing collections of de-identified, detailed patient histories, questionnaires regarding symptoms and general condition, and associated objective findings (genomic data, vital signs, and physical exam and laboratory biomarkers) will theoretically identify these boundaries and will facilitate the deliverance of 4P Medicine. Comprehensive data collections on each subject evaluated in aggregate provides a diversity of uniqueness markers that can be statistically probed to identify patterns that predict wellbeing and perhaps individual response to lifestyle interventions.

An additional challenge for both the patient and their health care provider in 2018 and beyond is how to manage this data in an effective manner. Collections of individual patient data will need to be managed through computer programs and smart phone applications that provide direct feedback about the influence of lifestyle on health, wellness and biomarkers. To this end, Metagenics is designing and is launching a smart phone application, PLX, for individual use by patients and their healthcare providers. After and while a statistical analysis of this data set has been/is being completed, the data set will also be used in an initial beta test of the PLX operating system. The PLX application will not be used to conduct the statistical analysis which is the primary objective of this study."

Who can participate

Healthy volunteers accepted: Yes

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

Inclusion criteria

  • Male or Female
  • Ages 18-80, inclusive
  • Willing to give written informed consent to participate in the study

Exclusion criteria

  • A serious, unstable illness including cardiac, hepatic, renal, gastrointestinal, respiratory, endocrinologic, neurologic, immunologic, or hematologic disease.
  • Known infection with human immunodeficiency virus (HIV), tuberculosis (TB), or hepatitis B or C.
  • Inability to comply with study and/or follow-up visits.
  • Any concurrent condition (including clinically significant abnormalities in medical history, physical examination or laboratory evaluations) which, in the opinion of the Principle Investigator (PI), would preclude safe participation in this study or interfere with compliance.
  • Any sound medical, psychiatric and/or social reason which, in the opinion of the PI, would preclude safe participation in this study or interfere with compliance.

Treatment and study plan

Primary outcomes

  1. Height

    Time frame: Baseline

    measured in meter (m)

  2. Weight

    Time frame: Baseline

    measured in kilogram (kg)

  3. Body Mass index (BMI)

    Time frame: Baseline

    BMI is measured in (weight in kilogram (kg)/ height in meter (m)^2) outcome in double digits.

  4. Waist Circumference (WC)

    Time frame: Baseline

    measured in centimeters (cm)

  5. Hip Circumference (HC)

    Time frame: Baseline

    measured in cm

  6. Waist-to-Hip Ratio (WHR)

    Time frame: Baseline

    WHR is numerical (0.00) and is and indicator for major health risk.

  7. Glucose

    Time frame: Baseline

    Fasting glucose levels measured in blood in milligram/deciLiter (mg/dL)

  8. Total Cholesterol

    Time frame: Baseline

    Fasting total cholesterol level is measured in serum in mg/dL

  9. Anti-Nuclear Antibodies (ANA)

    Time frame: Baseline

    ANA is measured as a titer by serum dilution detects autoimmune disease.

  10. 25-hydroxy (OH) Vitamin D3

    Time frame: Baseline

    25-OH vitamin D3 is measured in blood in nanogram/milliLiter (ng/mL) and detects deficiencies.

  11. High sensitivity C-Reactive Protein (Hs-CRP)

    Time frame: Baseline

    Hs-CRP is measured in blood in mg/L detects inflammation.

  12. Homocysteine

    Time frame: Baseline

    Homocysteine is measured in serum in micromol/Liter (µmol/L)

  13. Omega-3 Fatty Acids

    Time frame: Baseline

    Omega-3 fatty acids: Eicosapentaenoic (EPA), Docosahexaenoic (DHA), and Docosapentaenoic (DPA) levels are measured in % weight.

  14. Beck Depression Inventory (BDI)

    Time frame: Baseline

    BDI is a 21-question multiple-choice self-report inventory, one of the most widely used psychometric tests for measuring the severity of depression. Rating system: 1-10: These ups and downs are considered normal; 11-16: Mild mood disturbance; 17-20: Borderline clinical depression; 21-30: Severe depression; over 40: Extreme depression

  15. Beck Anxiety Inventory (BAI)

    Time frame: Baseline

    BAI is a multiple-choice self-report inventory that is used for measuring the severity of anxiety in children and adults.The BAI contains 21 questions, each answer being scored on a scale value of 0 (not at all) to 3 (severely). Higher total scores indicate more severe anxiety symptoms. The standardized cutoffs[4] are:

    0-7: minimal anxiety 8-15: mild anxiety 16-25: moderate anxiety 26-63: severe anxiety

  16. Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance Test

    Time frame: Baseline

    PROMIS Sleep Disturbance Test is a self-scored test to identify sleep disturbance. Each item on the measure is rated on a 5-point scale (1=never; 2=rarely; 3=sometimes; 4=often; and 5=always) with a range in score from 8 to 40 with higher scores indicating greater severity of sleep disturbance. The T-scores are interpreted as follows: Less than 55 = None to slight 55.0-59.9 = Mild 60.0-69.9 = Moderate 70 and over = Severe

  17. Patient-Reported Outcomes Measurement Information System (PROMIS) Anxiety Test

    Time frame: Baseline

    PROMIS Anxiety test is a 7-item questionnaire that assesses the pure domain of anxiety in individuals age 18 and older. Each item on the measure is rated on a 5-point scale (1=never; 2=rarely; 3=sometimes; 4=often; and 5=always) with a range in score from 7 to 35 with higher scores indicating greater severity of anxiety. The T-scores are interpreted as follows: Less than 55 = None to slight 55.0-59.9 = Mild 60.0-69.9 = Moderate 70 and over = Severe

  18. Patient-Reported Outcomes Measurement Information System (PROMIS) Depression Short Form (SF)

    Time frame: Baseline

    PROMIS Depression SF is an 8-item questionnaire that assesses the pure domain of depression in individuals age 18 and older. Each item on the measure is rated on a 5-point scale (1=never; 2=rarely; 3=sometimes; 4=often; and 5=always) with a range in score from 8 to 40 with higher scores indicating greater severity of depression.The T-scores are interpreted as follows: Less than 55 = None to slight 55.0-59.9 = Mild 60.0-69.9 = Moderate 70 and over = Severe

  19. Genomics

    Time frame: Baseline

    DNA polymorphism measured using 23&Me

  20. Stool

    Time frame: Baseline

    Stool analysis measured by a stool analysis kit from American Gut

Sponsors and collaborators

Lead sponsor

Metagenics, Inc.

Industry

Collaborators

  • MetaProteomics LLC

Registry information

Official study title

Personal Lifestyle Engine (PLX) is an Employee Wellness Platform and App Used at the Personal Lifestyle Medicine Center (PLMC). This Study Examines Correlations Between Lifestyle Factors, Genomic Data, Physical Exam Finding and Biomarkers

Important dates

Study start
2018
Primary completion
2020
Study completion
2022
First posted
Jul 5, 2019
Registry last updated
Oct 30, 2023

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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