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

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

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03256929
Enrollment
200
Registered
2017-08-22
Start date
2017-09-11
Completion date
2021-02-01
Last updated
2020-10-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Depression

Keywords

Personalized Diet, Microbiota, Depression, Elderly, Gut flora

Brief 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.

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.

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.

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

Sponsors

Shamir Research Institute
CollaboratorUNKNOWN
Clalit Health Services
CollaboratorOTHER
Migal, Galilee Technology Center
CollaboratorOTHER
Tel Hai College
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Subject)

Intervention model description

The first stage will be mapping all of the aged population of the research area, who will be interviewed (after receiving their consent) in order to determine those who are depressed. 200 depressed and pre-depression individuals (according to the GDS) will be chosen, and divided randomly into two groups- one will undergo the diet- driven microbiota adjustment personalized-intervention (nutrition advisory), and the other will get general information on nutrition and health .

Eligibility

Sex/Gender
ALL
Age
60 Years to 80 Years
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

* 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.

Design outcomes

Primary

MeasureTime frameDescription
Mental health status - Depression1 yearDepression will be assessed using the Geriatric Depression Scale (GDS). changes in test score

Secondary

MeasureTime frameDescription
Microbiota profile1 yearMicrobiota 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.
Salivary Cortisol1 yearSalivary 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.
life style habits1 yearThe 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.
Nutritional data collection - Food Frequency Questionnaire - FFQ1 yearHabitual dietary intake information that will be assessed using the Food Frequency Questionnaire (FFQ)
Eating Behavior Questionnaire - CEBQ1 yearAppetite, gastrointestinal problems, and chewing and swallowing problems will be assessed using the Composite Eating Behavior Questionnaire (CEBQ)

Other

MeasureTime frameDescription
Anthropometric measure 11 yearMeasurements of body weight in kilograms
Anthropometric measure 21 yearChange in body fat percentage

Countries

Israel

Contacts

Primary ContactZiv Mozes, M.Sc. RD
zivo13@gmail.com972503553800

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026