An observational study in Health, Subjective, Gastrointestinal Dysfunction and Cardiovascular Risk Factor, sponsored by Metagenics, Inc.. Completed at 1 site in United States. Open to participants aged 18 Years to 80 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-10-30.
Sponsored by Metagenics, Inc. · Observational
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.
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."
802 studies on the registry are indexed under Autoimmune Diseases; 271 are open to participants now.
This study's enrollment of 400 is above the median of 300 across 229 observational studies indexed under Autoimmune Diseases.
Browse Autoimmune Diseases studies →Metagenics, Inc. is the lead sponsor of 12 studies on the registry; 3 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Subjects will be recruited first from Metagenics employees but expand to family members of employees and from the general population. It is expected that subjects will be recruited from the private practices of both Study Investigators and associated clinical staff.
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
The human immunodeficiency virus, which weakens the immune system.
Many studies now accept people whose HIV is controlled on treatment, judged by the viral load and the CD4 count. Check the limits this study sets.
Hepatitis B is a virus that infects the liver. These are separate tests: HBsAg positive usually means a current infection (a recent vaccination can briefly cause it too); total anti-HBc (HBcAb) positive means an infection now or in the past; HBV DNA measures how much virus is in the blood.
Some studies accept a past infection if HBV DNA is undetectable, sometimes with antiviral medicine during the study. Check what this study allows.
Judged by the study doctor to matter for your health or for the study. It is a doctor’s decision, so ask the study team if you are unsure whether something counts.
Informed consent
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
HIV
The human immunodeficiency virus, which weakens the immune system.
Many studies now accept people whose HIV is controlled on treatment, judged by the viral load and the CD4 count. Check the limits this study sets.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Hepatitis B tests
Hepatitis B is a virus that infects the liver. These are separate tests: HBsAg positive usually means a current infection (a recent vaccination can briefly cause it too); total anti-HBc (HBcAb) positive means an infection now or in the past; HBV DNA measures how much virus is in the blood.
Some studies accept a past infection if HBV DNA is undetectable, sometimes with antiviral medicine during the study. Check what this study allows.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Clinically significant
Judged by the study doctor to matter for your health or for the study. It is a doctor’s decision, so ask the study team if you are unsure whether something counts.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Subject comprised of employees of Metagenics but later will be expanded to those recruited from practitioner practices
Height
measured in meter (m)
Time frame: Baseline
Weight
measured in kilogram (kg)
Time frame: Baseline
Body Mass index (BMI)
BMI is measured in (weight in kilogram (kg)/ height in meter (m)\^2) outcome in double digits.
Time frame: Baseline
Waist Circumference (WC)
measured in centimeters (cm)
Time frame: Baseline
Hip Circumference (HC)
measured in cm
Time frame: Baseline
Waist-to-Hip Ratio (WHR)
WHR is numerical (0.00) and is and indicator for major health risk.
Time frame: Baseline
Glucose
Fasting glucose levels measured in blood in milligram/deciLiter (mg/dL)
Time frame: Baseline
Total Cholesterol
Fasting total cholesterol level is measured in serum in mg/dL
Time frame: Baseline
Anti-Nuclear Antibodies (ANA)
ANA is measured as a titer by serum dilution detects autoimmune disease.
Time frame: Baseline
25-hydroxy (OH) Vitamin D3
25-OH vitamin D3 is measured in blood in nanogram/milliLiter (ng/mL) and detects deficiencies.
Time frame: Baseline
High sensitivity C-Reactive Protein (Hs-CRP)
Hs-CRP is measured in blood in mg/L detects inflammation.
Time frame: Baseline
Homocysteine
Homocysteine is measured in serum in micromol/Liter (µmol/L)
Time frame: Baseline
Omega-3 Fatty Acids
Omega-3 fatty acids: Eicosapentaenoic (EPA), Docosahexaenoic (DHA), and Docosapentaenoic (DPA) levels are measured in % weight.
Time frame: Baseline
Beck Depression Inventory (BDI)
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
Time frame: Baseline
Beck Anxiety Inventory (BAI)
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
Time frame: Baseline
Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance Test
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
Time frame: Baseline
Patient-Reported Outcomes Measurement Information System (PROMIS) Anxiety Test
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
Time frame: Baseline
Patient-Reported Outcomes Measurement Information System (PROMIS) Depression Short Form (SF)
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
Time frame: Baseline
Genomics
DNA polymorphism measured using 23\&Me
Time frame: Baseline
Stool
Stool analysis measured by a stool analysis kit from American Gut
Time frame: Baseline
Plan to share: No
No publications or documents are linked to this record.
Ran from Jan 2018 to primary completion in Dec 2020, 35 months.
How these figures are worked out, and which studies are left out of them.
This study is completed, as verified in Oct 2023. You cannot join it, but the record below documents what was studied.
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Metagenics, Inc.