<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT02241226</url>
  </required_header>
  <id_info>
    <org_study_id>SBTI</org_study_id>
    <nct_id>NCT02241226</nct_id>
  </id_info>
  <brief_title>Self-Directed Biological Transformation Initiative</brief_title>
  <acronym>SBTI</acronym>
  <official_title>Self-Directed Biological Transformation Initiative</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>University of California, San Diego</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
    <collaborator>
      <agency>Harvard University</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Scripps Translational Science Institute</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Duke University</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Chopra Center for Wellbeing</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Mount Sinai Hospital, New York</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>University of California, San Francisco</agency>
      <agency_class>Other</agency_class>
    </collaborator>
  </sponsors>
  <source>University of California, San Diego</source>
  <oversight_info>
    <has_dmc>No</has_dmc>
  </oversight_info>
  <brief_summary>
    <textblock>
      It is becoming increasingly recognized in the literature that ancient practices for&#xD;
      wellbeing, including meditation, yoga, and specific herbs, can improve health and promote&#xD;
      longevity. While studies have documented such effects for a variety of individual practices&#xD;
      for wellbeing, few studies have taken a more whole systems approach that is simultaneously&#xD;
      inclusive of numerous practices. This intervention study, the &quot;Self-Directed Biological&#xD;
      Transformation Initiative&quot;, will examine the effects of a comprehensive whole systems&#xD;
      approach to wellbeing on key biochemical, physiological, and psychosocial endpoints.&#xD;
      Participants randomized to the Perfect Health program at the Chopra Center for Wellbeing will&#xD;
      be compared to individuals not taking the program.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      SPECIFIC AIMS&#xD;
&#xD;
        1. To examine the effects of the Self-Directed Biological Transformation Initiative (SBTI)&#xD;
           course participants compared to control group participants on key biochemical and&#xD;
           physiological markers.&#xD;
&#xD;
        2. To examine the effects of the SBTI course participants compared to control group&#xD;
           participants on short- and long-term changes in heart rate variability, level of&#xD;
           activity, and sleep quality.&#xD;
&#xD;
        3. To examine the effects of the SBTI course participants as compared to control group&#xD;
           participants on mood and wellbeing.&#xD;
&#xD;
      BACKGROUND AND SIGNIFICANCE It has long been thought that ancient practices can promote&#xD;
      longevity and wellbeing but there is little empirical evidence and it is difficult to test&#xD;
      this under controlled or experimental conditions. Recently, however, there have been several&#xD;
      cellular-based markers that may index rate of biological aging. The rate of telomere&#xD;
      shortening, as indexed by change in telomere length and telomerase activity, predicts both&#xD;
      cellular and human longevity (Lin et al, 2012). It is related to malleable factors, lifestyle&#xD;
      and psychological state (Puterman &amp; Epel, 2012). A secondary measure that shows promise of&#xD;
      understanding rate of cellular aging is examination of gene expression, particularly genes&#xD;
      related to aging. Preliminary evidence suggests that mind-body practices may slow the rate of&#xD;
      cellular aging by improving the telomere/telomerase maintenance system. This has been&#xD;
      examined in four small studies so far.&#xD;
&#xD;
      In the first study of its kind, a four month intensive lifestyle modification program,&#xD;
      including yoga and group support was associated with an increase in telomerase in 39 men with&#xD;
      prostate cancer (in preparation). There was no control group in this study. However, those&#xD;
      with the greatest decreases in distressing thoughts about having cancer showed the biggest&#xD;
      increases in telomerase activity (Ornish et al, 2008). In a second study, healthy men and&#xD;
      women were randomized to a 3-month intensive in-residence meditation group or wait list&#xD;
      control group. The researchers examined telomerase only post intervention and found that the&#xD;
      meditation group had 30% higher telomerase, and further increases in wellbeing were&#xD;
      associated with increases in telomerase (Jacobs et al, 2011). In another study with an active&#xD;
      control group, examined 39 elderly high stress dementia caregivers. They randomized half the&#xD;
      group to Yoga Nidra, listening to a 15 minute tape each day of Yoga Nidra, which includes&#xD;
      instruction on breathing and hand movements and half to a control group which listened to a&#xD;
      relaxation tape for 15 minutes each day. Eight weeks later, they found greater telomerase&#xD;
      increases in the Yoga Nidra group, and across the sample, decreases in depressive symptoms&#xD;
      were associated with increases in telomerase activity (Lavretsky et al, 2013).&#xD;
&#xD;
      Similar studies have reported positive effects of such practices on inflammatory profiles and&#xD;
      gene expression (Tang, Ma et al. 2009, Bhasin, Dusek et al. 2013, Saatcioglu 2013). Another&#xD;
      well studied parameter for practices such as meditation and yoga is heart rate variability&#xD;
      (HRV) as it provides a broad measure of autonomic nervous system activity. Observational&#xD;
      studies report HRV to be associated with stress in the workplace,(Jarczok, Jarczok et al.&#xD;
      2013) depressive and anxiety disorders (Gorman and Sloan 2000), and in individuals with&#xD;
      chronic somatic complaints (Tak, Riese et al. 2009). Meditation and yoga interventions to&#xD;
      improve HRV can lead to improved physiologic and clinical outcomes (Wheat and Larkin 2010,&#xD;
      Papp, Lindfors et al. 2013). Other parameters can also be of potential benefit in evaluating&#xD;
      an individual's overall wellbeing. For example, sleep duration and quality, as well as&#xD;
      general activity levels can both contribute to and reflect overall wellbeing. To date,&#xD;
      however, lack of compelling data around objective measures of wellbeing is in large part due&#xD;
      to challenges associated with long term monitoring of monitoring of appropriate patient&#xD;
      populations. However, recent advances in biosensor technologies have overcome this limitation&#xD;
      and now allow for the non-obtrusive and passive monitoring of individuals for long periods of&#xD;
      time. These new data streams of real-time physiologic data, couple with sophisticated and&#xD;
      individualized data analytics can potentially identify novel measures of individual wellness,&#xD;
      which will allow for the development of personalized therapeutic interventions to improve&#xD;
      wellbeing.&#xD;
&#xD;
      Overall, while the results of many of the studies of traditional practices are compelling, in&#xD;
      reality, and according the more whole system approaches such as Ayurveda and Chines Medicine,&#xD;
      traditional practices are rarely practiced singularly, i.e, typically yoga asanas are&#xD;
      practiced with meditation as well as a form of pranayama (breathing). With this&#xD;
      consideration, few scientific studies have taken a more comprehensive &quot;whole systems&quot;&#xD;
      approach that is simultaneously inclusive of numerous practices. Regarding outcomes, this&#xD;
      study will take a systems biology approach to examining the biochemical, physiological, and&#xD;
      psychosocial effects of the intervention. It is anticipated that the findings will&#xD;
      demonstrate the value of taking a more inclusive and comprehensive whole systems approach to&#xD;
      improving wellbeing and improved health.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Completed</overall_status>
  <start_date>September 2014</start_date>
  <completion_date type="Actual">February 2015</completion_date>
  <primary_completion_date type="Actual">February 2015</primary_completion_date>
  <phase>N/A</phase>
  <study_type>Interventional</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <allocation>Randomized</allocation>
    <intervention_model>Parallel Assignment</intervention_model>
    <primary_purpose>Treatment</primary_purpose>
    <masking>None (Open Label)</masking>
  </study_design_info>
  <primary_outcome>
    <measure>Change in RNA expression</measure>
    <time_frame>Assessed pre and post 7 day intervention</time_frame>
    <description>Blood samples will be collected for RNA expression and assayed using standardized methodologies</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Change in cytokine levels</measure>
    <time_frame>Assessed pre and post 7 day intervention</time_frame>
    <description>Blood samples will be collected for inflammatory cytokine levels and determined via standardized ELISA methods</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Change in telomerase activity</measure>
    <time_frame>Assessed pre and post 7 day intervention</time_frame>
    <description>Blood samples will be collected for PBMC telomerase activity and assayed using standardized methodologies</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Change in neurohormome levels</measure>
    <time_frame>Assessed pre and post 7 day intervention</time_frame>
    <description>Blood and saliva samples will be collected for neurohormone levels and be determined via standardized ELISA methods</description>
  </primary_outcome>
  <secondary_outcome>
    <measure>Change in heart rate variability</measure>
    <time_frame>Assessed pre and post 7 day intervention and one month follow-up</time_frame>
    <description>ECG activity will be obtained via continuous wearable wireless sensor</description>
  </secondary_outcome>
  <other_outcome>
    <measure>Change in quality of life</measure>
    <time_frame>Assessed pre and post 7 day intervention and one month follow-up</time_frame>
    <description>A set of standardized and validated questionnaires will be administered</description>
  </other_outcome>
  <other_outcome>
    <measure>Change in gut microbiome populations</measure>
    <time_frame>Assessed pre and post 7 day intervention and one month follow-up</time_frame>
    <description>Stool samples will be collected to determine gut microbiome using standardized methodologies</description>
  </other_outcome>
  <other_outcome>
    <measure>Change in mood</measure>
    <time_frame>Assessed pre and post 7 day intervention and one month follow-up</time_frame>
    <description>A set of standardized and validated questionnaires will be administered</description>
  </other_outcome>
  <other_outcome>
    <measure>Change in spiritual wellbeing</measure>
    <time_frame>Assessed pre and post 7 day intervention and one month followup</time_frame>
    <description>A set of standardized and validated questionnaires will be administered</description>
  </other_outcome>
  <number_of_arms>2</number_of_arms>
  <enrollment type="Actual">115</enrollment>
  <condition>Healthy</condition>
  <arm_group>
    <arm_group_label>Perfect health course</arm_group_label>
    <arm_group_type>Experimental</arm_group_type>
    <description>Perfect health course at the Chopra Center for Wellbeing</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Resort group</arm_group_label>
    <arm_group_type>No Intervention</arm_group_type>
    <description>Resort group at the La Costa resort</description>
  </arm_group>
  <intervention>
    <intervention_type>Behavioral</intervention_type>
    <intervention_name>Perfect Health Course</intervention_name>
    <description>The Perfect Health course as taught at the Chopra Center for Wellbeing</description>
    <arm_group_label>Perfect health course</arm_group_label>
  </intervention>
  <eligibility>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          1. Men and women between the ages of 40-80 years&#xD;
&#xD;
             Exclusion Criteria:&#xD;
&#xD;
          2. Self-reported diagnosis of a major medical condition, such as cancer (including those&#xD;
             who have received past radiation or chemotherapy treatment), heart disease, autoimmune&#xD;
             disease, or diabetes, as these can affect the cell aging system and possibly the&#xD;
             ability for telomerase to change in short periods&#xD;
&#xD;
          3. Individuals taking antidepressant medication will be excluded since such medication&#xD;
             appears to increase telomerase (Wolkowitz et al, 2010)&#xD;
&#xD;
          4. Individuals with diagnosed PTSD will be excluded; there is evidence that those with&#xD;
             PTSD may have lower telomere length as compared to those without PTSD (O'Donovan et&#xD;
             al, 2011). It is currently unknown how PTSD may impact telomerase levels&#xD;
&#xD;
          5. Estrogen use is excluded as it increases telomerase (Lin et al, 2011)&#xD;
&#xD;
          6. Smokers will be excluded since smoking decreases telomerase. We will base smoking&#xD;
             status on self report. If participants have not smoked regularly for the past 6&#xD;
             months, they will be considered a 'non-smoker&#xD;
&#xD;
          7. Pregnant women are excluded since the cell aging system changes during pregnancy in&#xD;
             ways that have not been studied&#xD;
&#xD;
          8. Participants with a Body Mass Index (BMI) of 35 or greater will be excluded due to&#xD;
             differences in telomerase activity in obese women&#xD;
&#xD;
          9. Potential eligible participants who are unable to secure the week off from work or&#xD;
             other responsibilities will not be enrolled&#xD;
&#xD;
         10. Known atrial fibrillation or other chronic dysrhythmia&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>40 Years</minimum_age>
    <maximum_age>80 Years</maximum_age>
    <healthy_volunteers>Accepts Healthy Volunteers</healthy_volunteers>
  </eligibility>
  <overall_official>
    <last_name>Paul J Mills, PHD</last_name>
    <role>Study Director</role>
    <affiliation>University of California, San Diego</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Rudolph E Tanzi, PhD</last_name>
    <role>Study Chair</role>
    <affiliation>Harvard University</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Deepak Chopra, MD</last_name>
    <role>Study Chair</role>
    <affiliation>Chopra Center for Wellbeing &amp; University of California, San Diego</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Elizabeth Blackburn, PhD</last_name>
    <role>Principal Investigator</role>
    <affiliation>University of California, San Francisco</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Elissa Epel, PhD</last_name>
    <role>Principal Investigator</role>
    <affiliation>University of California, San Francisco</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Sheila Patel, MD</last_name>
    <role>Principal Investigator</role>
    <affiliation>Chopra Center for Wellbeing &amp; University of California, San Diego</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Valencia Porter, MD</last_name>
    <role>Principal Investigator</role>
    <affiliation>Chopra Center for Wellbeing &amp; University of California, San Diego</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Eric Schadt, PhD</last_name>
    <role>Principal Investigator</role>
    <affiliation>MOUNT SINAI HOSPITAL</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Steven Steinhubl, MD</last_name>
    <role>Principal Investigator</role>
    <affiliation>Scripps Translational Science Institute, Scripps Research Institute</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Eric Topel, MD</last_name>
    <role>Principal Investigator</role>
    <affiliation>Scripps Translational Science Institute, Scripps Research Institute</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Murali Doraiswamy, MD</last_name>
    <role>Principal Investigator</role>
    <affiliation>Duke University</affiliation>
  </overall_official>
  <location>
    <facility>
      <name>Chopra Center for Wellbeing</name>
      <address>
        <city>Carlsbad</city>
        <state>California</state>
        <zip>92009</zip>
        <country>United States</country>
      </address>
    </facility>
  </location>
  <location_countries>
    <country>United States</country>
  </location_countries>
  <verification_date>December 2015</verification_date>
  <study_first_submitted>September 9, 2014</study_first_submitted>
  <study_first_submitted_qc>September 12, 2014</study_first_submitted_qc>
  <study_first_posted type="Estimate">September 16, 2014</study_first_posted>
  <last_update_submitted>December 14, 2015</last_update_submitted>
  <last_update_submitted_qc>December 14, 2015</last_update_submitted_qc>
  <last_update_posted type="Estimate">December 16, 2015</last_update_posted>
  <responsible_party>
    <responsible_party_type>Principal Investigator</responsible_party_type>
    <investigator_affiliation>University of California, San Diego</investigator_affiliation>
    <investigator_full_name>Paul J. Mills</investigator_full_name>
    <investigator_title>Professor</investigator_title>
  </responsible_party>
  <keyword>wellbeing</keyword>
  <keyword>meditation</keyword>
  <keyword>Ayurveda</keyword>
  <keyword>yoga</keyword>
  <keyword>herbs</keyword>
  <keyword>health</keyword>
  <keyword>longevity</keyword>
  <keyword>individuals</keyword>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT02241226
org study id: SBTI
nct id: NCT02241226
lead sponsor: 
collaborator: 
collaborator: 
collaborator: 
collaborator: 
collaborator: 
collaborator: 
has dmc: No
It is becoming increasingly recognized in the literature that ancient practices for
      wellbeing, including meditation, yoga, and specific herbs, can improve health and promote
      longevity. While studies have documented such effects for a variety of individual practices
      for wellbeing, few studies have taken a more whole systems approach that is simultaneously
      inclusive of numerous practices. This intervention study, the "Self-Directed Biological
      Transformation Initiative", will examine the effects of a comprehensive whole systems
      approach to wellbeing on key biochemical, physiological, and psychosocial endpoints.
      Participants randomized to the Perfect Health program at the Chopra Center for Wellbeing will
      be compared to individuals not taking the program.
SPECIFIC AIMS

        1. To examine the effects of the Self-Directed Biological Transformation Initiative (SBTI)
           course participants compared to control group participants on key biochemical and
           physiological markers.

        2. To examine the effects of the SBTI course participants compared to control group
           participants on short- and long-term changes in heart rate variability, level of
           activity, and sleep quality.

        3. To examine the effects of the SBTI course participants as compared to control group
           participants on mood and wellbeing.

      BACKGROUND AND SIGNIFICANCE It has long been thought that ancient practices can promote
      longevity and wellbeing but there is little empirical evidence and it is difficult to test
      this under controlled or experimental conditions. Recently, however, there have been several
      cellular-based markers that may index rate of biological aging. The rate of telomere
      shortening, as indexed by change in telomere length and telomerase activity, predicts both
      cellular and human longevity (Lin et al, 2012). It is related to malleable factors, lifestyle
      and psychological state (Puterman & Epel, 2012). A secondary measure that shows promise of
      understanding rate of cellular aging is examination of gene expression, particularly genes
      related to aging. Preliminary evidence suggests that mind-body practices may slow the rate of
      cellular aging by improving the telomere/telomerase maintenance system. This has been
      examined in four small studies so far.

      In the first study of its kind, a four month intensive lifestyle modification program,
      including yoga and group support was associated with an increase in telomerase in 39 men with
      prostate cancer (in preparation). There was no control group in this study. However, those
      with the greatest decreases in distressing thoughts about having cancer showed the biggest
      increases in telomerase activity (Ornish et al, 2008). In a second study, healthy men and
      women were randomized to a 3-month intensive in-residence meditation group or wait list
      control group. The researchers examined telomerase only post intervention and found that the
      meditation group had 30% higher telomerase, and further increases in wellbeing were
      associated with increases in telomerase (Jacobs et al, 2011). In another study with an active
      control group, examined 39 elderly high stress dementia caregivers. They randomized half the
      group to Yoga Nidra, listening to a 15 minute tape each day of Yoga Nidra, which includes
      instruction on breathing and hand movements and half to a control group which listened to a
      relaxation tape for 15 minutes each day. Eight weeks later, they found greater telomerase
      increases in the Yoga Nidra group, and across the sample, decreases in depressive symptoms
      were associated with increases in telomerase activity (Lavretsky et al, 2013).

      Similar studies have reported positive effects of such practices on inflammatory profiles and
      gene expression (Tang, Ma et al. 2009, Bhasin, Dusek et al. 2013, Saatcioglu 2013). Another
      well studied parameter for practices such as meditation and yoga is heart rate variability
      (HRV) as it provides a broad measure of autonomic nervous system activity. Observational
      studies report HRV to be associated with stress in the workplace,(Jarczok, Jarczok et al.
      2013) depressive and anxiety disorders (Gorman and Sloan 2000), and in individuals with
      chronic somatic complaints (Tak, Riese et al. 2009). Meditation and yoga interventions to
      improve HRV can lead to improved physiologic and clinical outcomes (Wheat and Larkin 2010,
      Papp, Lindfors et al. 2013). Other parameters can also be of potential benefit in evaluating
      an individual's overall wellbeing. For example, sleep duration and quality, as well as
      general activity levels can both contribute to and reflect overall wellbeing. To date,
      however, lack of compelling data around objective measures of wellbeing is in large part due
      to challenges associated with long term monitoring of monitoring of appropriate patient
      populations. However, recent advances in biosensor technologies have overcome this limitation
      and now allow for the non-obtrusive and passive monitoring of individuals for long periods of
      time. These new data streams of real-time physiologic data, couple with sophisticated and
      individualized data analytics can potentially identify novel measures of individual wellness,
      which will allow for the development of personalized therapeutic interventions to improve
      wellbeing.

      Overall, while the results of many of the studies of traditional practices are compelling, in
      reality, and according the more whole system approaches such as Ayurveda and Chines Medicine,
      traditional practices are rarely practiced singularly, i.e, typically yoga asanas are
      practiced with meditation as well as a form of pranayama (breathing). With this
      consideration, few scientific studies have taken a more comprehensive "whole systems"
      approach that is simultaneously inclusive of numerous practices. Regarding outcomes, this
      study will take a systems biology approach to examining the biochemical, physiological, and
      psychosocial effects of the intervention. It is anticipated that the findings will
      demonstrate the value of taking a more inclusive and comprehensive whole systems approach to
      improving wellbeing and improved health.
allocation: Randomized
intervention model: Parallel Assignment
primary purpose: Treatment
masking: None (Open Label)
measure: Change in RNA expression
time frame: Assessed pre and post 7 day intervention
description: Blood samples will be collected for RNA expression and assayed using standardized methodologies
measure: Change in cytokine levels
time frame: Assessed pre and post 7 day intervention
description: Blood samples will be collected for inflammatory cytokine levels and determined via standardized ELISA methods
measure: Change in telomerase activity
time frame: Assessed pre and post 7 day intervention
description: Blood samples will be collected for PBMC telomerase activity and assayed using standardized methodologies
measure: Change in neurohormome levels
time frame: Assessed pre and post 7 day intervention
description: Blood and saliva samples will be collected for neurohormone levels and be determined via standardized ELISA methods
measure: Change in heart rate variability
time frame: Assessed pre and post 7 day intervention and one month follow-up
description: ECG activity will be obtained via continuous wearable wireless sensor
measure: Change in quality of life
time frame: Assessed pre and post 7 day intervention and one month follow-up
description: A set of standardized and validated questionnaires will be administered
measure: Change in gut microbiome populations
time frame: Assessed pre and post 7 day intervention and one month follow-up
description: Stool samples will be collected to determine gut microbiome using standardized methodologies
measure: Change in mood
time frame: Assessed pre and post 7 day intervention and one month follow-up
description: A set of standardized and validated questionnaires will be administered
measure: Change in spiritual wellbeing
time frame: Assessed pre and post 7 day intervention and one month followup
description: A set of standardized and validated questionnaires will be administered
arm group label: Perfect health course
arm group type: Experimental
description: Perfect health course at the Chopra Center for Wellbeing
arm group label: Resort group
arm group type: No Intervention
description: Resort group at the La Costa resort
intervention type: Behavioral
intervention name: Perfect Health Course
description: The Perfect Health course as taught at the Chopra Center for Wellbeing
arm group label: Perfect health course
criteria: 
gender: All
minimum age: 40 Years
maximum age: 80 Years
healthy volunteers: Accepts Healthy Volunteers
last name: Paul J Mills, PHD
role: Study Director
affiliation: University of California, San Diego
last name: Rudolph E Tanzi, PhD
role: Study Chair
affiliation: Harvard University
last name: Deepak Chopra, MD
role: Study Chair
affiliation: Chopra Center for Wellbeing & University of California, San Diego
last name: Elizabeth Blackburn, PhD
role: Principal Investigator
affiliation: University of California, San Francisco
last name: Elissa Epel, PhD
role: Principal Investigator
affiliation: University of California, San Francisco
last name: Sheila Patel, MD
role: Principal Investigator
affiliation: Chopra Center for Wellbeing & University of California, San Diego
last name: Valencia Porter, MD
role: Principal Investigator
affiliation: Chopra Center for Wellbeing & University of California, San Diego
last name: Eric Schadt, PhD
role: Principal Investigator
affiliation: MOUNT SINAI HOSPITAL
last name: Steven Steinhubl, MD
role: Principal Investigator
affiliation: Scripps Translational Science Institute, Scripps Research Institute
last name: Eric Topel, MD
role: Principal Investigator
affiliation: Scripps Translational Science Institute, Scripps Research Institute
last name: Murali Doraiswamy, MD
role: Principal Investigator
affiliation: Duke University
facility: 
country: United States
responsible party type: Principal Investigator
investigator affiliation: University of California, San Diego
investigator full name: Paul J. Mills
investigator title: Professor