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Status unknownNCT03256929Updated Oct 23, 2020

Personalized Diet-driven Microbiota Alterations as a Tool for Improving Mood Status in Elderly

An interventional study of Personalized Diet-driven microbiota and General information on nutrition and health in Depression, sponsored by Tel Hai College. Status unknown at 1 site in Israel. Open to participants aged 60 Years to 80 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2020-10-23.

Sponsored by Tel Hai College · Not applicable, Interventional, and Treatment

The sponsor has not verified this record recently (last verified Oct 2020), so the status shown — last known as Recruiting — may be out of date.
Phase
Not applicable
Study type
Interventional
Enrollment
200
Allocation
Randomized
Ages
60 Years to 80 Years
Sex
All
01

Study summary

The propose of the study is a multi-disciplinary project connecting nutritional and health sciences with social and behavioral sciences, and aimed at understanding the microbiota changes related to the third age and their effects on mood and mental health. The research aims are primarily practical: They will explore the influence of the gut flora on depression, which could help us to recommend diets that might reduce the risk of developing depression. The novelty of this proposal is in the design of personalized diet-driven microbiota alterations and health status to modulate depression in elderly. For the first time the improvement of mental health in the elderly will be studied through a nutritional and food habits approach based on microbiota changes upon ageing.

Read the 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.

02

Conditions studied

  • Depression

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Keywords

  • Personalized Diet
  • Microbiota
  • Depression
  • Elderly
  • Gut flora
03

Who can participate

Ages eligible
60 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

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

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.
04

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Participant)
Enrollment
200 participants (estimated)

Study arms

  • Experimental
    depression participants - intervention

    personalized diet intervention based on microbiota analysis and health status

    Behavioral: Personalized Diet-driven microbiota

  • Experimental
    depression participants - control

    General information on nutrition and health

    Behavioral: General information on nutrition and health

  • Experimental
    pre-depression participants - control

    General information on nutrition and health for pre-depression participants

    Behavioral: General information on nutrition and health

  • Experimental
    pre-depression participants - intervention

    personalized diet intervention based on microbiota analysis and health status for pre-depression participants

    Behavioral: Personalized Diet-driven microbiota

Interventions

  • BehavioralPersonalized Diet-driven microbiota

    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.

  • BehavioralGeneral information on nutrition and health

    General information on nutrition and health. The dietitian will visit each participant twice a month.

05

What researchers measure

Primary outcomes

  1. Mental health status - Depression

    Depression will be assessed using the Geriatric Depression Scale (GDS). changes in test score

    Time frame: 1 year

Secondary outcomes

  1. Microbiota profile

    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.

    Time frame: 1 year

  2. Salivary Cortisol

    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.

    Time frame: 1 year

  3. life style habits

    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.

    Time frame: 1 year

  4. Nutritional data collection - Food Frequency Questionnaire - FFQ

    Habitual dietary intake information that will be assessed using the Food Frequency Questionnaire (FFQ)

    Time frame: 1 year

  5. Eating Behavior Questionnaire - CEBQ

    Appetite, gastrointestinal problems, and chewing and swallowing problems will be assessed using the Composite Eating Behavior Questionnaire (CEBQ)

    Time frame: 1 year

Other outcomes

  1. Anthropometric measure 1

    Measurements of body weight in kilograms

    Time frame: 1 year

  2. Anthropometric measure 2

    Change in body fat percentage

    Time frame: 1 year

06

Study locations

1 of 1 sites recruiting
  • Shamir Research Institute
    Katzrin, 1290000, Israel
    Recruiting
07

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

08

Registry details

Key details

Study ID
NCT03256929
Lead sponsor
Tel Hai College
Collaborators
Shamir Research Institute, Clalit Health Services, Migal, Galilee Technology Center
Responsible party
Sponsor
First posted
Aug 22, 2017
Start date
Sep 11, 2017
Primary completion
Dec 30, 2020 (estimated)
Completion
Feb 1, 2021 (estimated)
Last update
Oct 23, 2020

Study contacts

Ziv Mozes, M.Sc. RD
Contact
zivo13@gmail.com
972503553800
Ariella Ofran, M.D, MPH
principal investigator · Clalit Health Services
Snait Tamir, Prof.
principal investigator · Migal, Galilee Technology Center
Shmuel Shamai, Prof.
principal investigator · Shamir Research Institute
Adi Vitman- Schorr, Ph.D
principal investigator · Shamir Research Institute
Karen Jackson, Ph.D
principal investigator · Migal, Galilee Technology Center

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
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