Personalized Diet-driven Microbiota Alterations as a Tool for Improving Mood Status in Elderly
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Depressive symptoms are highly prevalent in older populations, is one of the most serious public health problems faced by modern societies. The problems caused by depression, such as functional impairments, lead to decreased quality of life, poor recovery from illnesses and increased mortality in the elderly. Researchers have found that there are many possible connections between personal or physical variables and the risk of developing depression; it can be caused by sociodemographic factors, or cognitive and functional impairment, nutritional status is also related to development of depression.
Recent studies have suggested that depressive symptoms are more prevalent in individuals with impaired nutritional status. The intestinal microbial population (microbiota), known influenced by several factors including nutrition, age, and stress.
The microbiota is essential to human health, changes in composition microbiota play a role in metabolic, nutritional, physiological and immunological processes in the human body, recently reported also behavioral changes associated with anxiety and depression. The aging process is characterized by a decrease intestinal transit time, as a result of dental problems, decrease in saliva activity, and efficiency of digestion and absorption leading to changes in the microbiota composition, which causes an increase in sensitivity to the development of chronic and inflammatory diseases. Although other factors undoubtedly contribute to mental health decline in the elderly, the association of the intestinal microbiota of older people with inflammation, the clear association between diet and microbiota and the recent report on the correlation between changes in microbiota and depression have led us to hypothesize that diet can shape microbiota, which then affect mood status in older people and decreased depressive symptoms.
The purpose of the study is to examine the effect of a custom diet based on the composition of the intestinal bacterial population (compared with a diet for a healthy lifestyle that is not based on a microbiotic profile), on moods and depression among the elderly.
Before and after the intervention, several tests will be carried out, using stool sample for microbiota analysis, salivary cortisol measurement and clinical information (GDS, life style habits, CEBQ, FFQ), These measures will indicate participants' clinical, nutritional and mental situation before and after in order to probe the diet intervention impact on microbiota and its correlation to mental health.
The infrastructure of this research includes several aspects - mood, health and nutrition status that are main parameters in life quality of the third age, and the research is based on the complementary cooperation of social and behavior sciences and nutrition and life sciences experts.
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Ziv Mozes, M.Sc. RD
- Phone Number: 972503553800
- Email: zivo13@gmail.com
Study Locations
-
-
-
Katzrin, Israel, 1290000
- Recruiting
- Shamir Research Institute
-
Contact:
- Ziv Mozes, M.Sc. RD
- Phone Number: 972503553800
- Email: zivo13@gmail.com
-
Contact:
- Adi Vitman- Schorr, Ph.D
- Phone Number: 972506301998
- Email: adivitman@gmail.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Subjects of both sexes aged 60 - 80, from northeastern Israel, Jewish, Druze and Arab populations, will be recruited. Only healthy, independent people who agreed to take part in the study and show depressive symptoms according to the Geriatrics Depression Scale.
Exclusion Criteria:
- Elderly people with depression who are drug-treated or elderly who are nursing his/her partner, and who are treated with antibiotics at least 4 weeks before taking fecal samples.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: TREATMENT
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: SINGLE
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
EXPERIMENTAL: depression participants - intervention
personalized diet intervention based on microbiota analysis and health status
|
Based on the results of the individual microbiota profile, the investigators will formulate a specific diet aiming to enrich the distinct microbiota with organisms correlated to better mental health.
The dietitian will visit each participant twice a month.
|
|
EXPERIMENTAL: depression participants - control
General information on nutrition and health
|
General information on nutrition and health.
The dietitian will visit each participant twice a month.
|
|
EXPERIMENTAL: pre-depression participants - control
General information on nutrition and health for pre-depression participants
|
General information on nutrition and health.
The dietitian will visit each participant twice a month.
|
|
EXPERIMENTAL: pre-depression participants - intervention
personalized diet intervention based on microbiota analysis and health status for pre-depression participants
|
Based on the results of the individual microbiota profile, the investigators will formulate a specific diet aiming to enrich the distinct microbiota with organisms correlated to better mental health.
The dietitian will visit each participant twice a month.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mental health status - Depression
Time Frame: 1 year
|
Depression will be assessed using the Geriatric Depression Scale (GDS).
changes in test score
|
1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Microbiota profile
Time Frame: 1 year
|
Microbiota composition will be characterized from feces.
The stool specimens will be collected and immediately put in buffer and stored at -20ºC for analysis and then will be kept at -80ºC in a locked freezer.
The very low temperature is of significance to avoid variability in the stool bacterial composition and to preserve bacterial DNA in fecal samples.
Total microbial DNA will be extracted using the PowerSoil DNA extraction kit (MoBio) and then submitted to 16S rRNA gene amplicon sequencing using paired end Illumina technology.
|
1 year
|
|
Salivary Cortisol
Time Frame: 1 year
|
Salivary Cortisol Measurement - The sampling procedure is simple and non-invasive.
The saliva sample will be collected by using the Salivettes and freezed as is.
On the day of the assay, Salivette™ samples can be thawed and then centrifuged at low speed to separate the saliva sample from the gauze.
The cortisol in saliva is remarkably stable and will be measured by the salivary cortisol kit.
|
1 year
|
|
life style habits
Time Frame: 1 year
|
The life style habits questionnaire is based on MABAT ZAHAV, National Health and Nutrition Survey (Aged 60 and over) 2005-2006, Ministry of Health, Israel and includes demographic details, questions on health status, dental health, functional, cognitive and emotional states, use of medications and nutrition supplements, alcohol consumption, physical activity, smoking habits, eating and dieting patterns, nutritional knowledge and attitudes.
|
1 year
|
|
Nutritional data collection - Food Frequency Questionnaire - FFQ
Time Frame: 1 year
|
Habitual dietary intake information that will be assessed using the Food Frequency Questionnaire (FFQ)
|
1 year
|
|
Eating Behavior Questionnaire - CEBQ
Time Frame: 1 year
|
Appetite, gastrointestinal problems, and chewing and swallowing problems will be assessed using the Composite Eating Behavior Questionnaire (CEBQ)
|
1 year
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Anthropometric measure 1
Time Frame: 1 year
|
Measurements of body weight in kilograms
|
1 year
|
|
Anthropometric measure 2
Time Frame: 1 year
|
Change in body fat percentage
|
1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Ariella Ofran, M.D, MPH, Clalit health services
- Principal Investigator: Snait Tamir, Prof., Migal, Galilee Technology Center
- Principal Investigator: Shmuel Shamai, Prof., Shamir Research Institute
- Principal Investigator: Adi Vitman- Schorr, Ph.D, Shamir Research Institute
- Principal Investigator: Karen Jackson, Ph.D, Migal, Galilee Technology Center
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- SHAMIRMB
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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