Cognitive Dysfunction Clinical Trial
— NutBrainOfficial title:
Exploring the Relationship Between Nutrition, gUT Microbiota, and BRain AgINg in Community-dwelling Seniors: the NutBrain Study
NCT number | NCT04461951 |
Other study ID # | NutBrain2018 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | April 1, 2019 |
Est. completion date | April 2022 |
Epidemiological evidence suggests that healthy diet is associated with a slowdown of
cognitive decline leading to dementia, but the underlying mechanisms are still partially
unexplored. Diet is the main determinant of gut microbiota' composition, which in turn
impacts on brain structures and functions, however to date no studies on this topic are
available. The goal of the present paper is to describe the design and methodology of the
NutBrain Study aimed at investigating the association of dietary habits with cognitive
function, and their role in modulating the gut microbiota composition, and brain measures as
well.
This is a population-based cohort study of community-dwelling adults aged 65 years or more
living in Northern Milan, Italy. At the point of presentation people are screened for
cognitive functions. Socio-demographic characteristics along with lifestyles and dietary
habits, medical history, drugs, functional status, and anthropometric measurements are also
recorded. Individuals suspected to have cognitive impairment at the screening phase undergo a
clinical evaluation including a neurological examination and a Magnetic Resonance Imaging
(MRI) scanning (both structural and functional). Stool and blood samples for the gut
microbiota analysis and for the evaluation of putative biological markers are also collected.
For each subject with a confirmed diagnosis of Mild Cognitive Impairment (MCI), two
cognitively intact controls of the same sex and age are visited. The investigators intend to
enrol at least 683 individuals for the screening phase and approximately 240 persons for the
clinical assessment.
The NutBrain is an innovative study that incorporates modern and advanced technologies (i.e.
microbiome and neuroimaging) into traditional epidemiologic design. The study represents a
unique opportunity to address key questions about the role of modifiable risk factors on
cognitive impairment, with a particular focus on dietary habits and their association with
gut microbiota and markers of the brain-aging process. These findings will help to encourage
and plan lifestyle interventions, for both prevention and treatment, aiming at promoting
healthy cognitive ageing.
Status | Recruiting |
Enrollment | 643 |
Est. completion date | April 2022 |
Est. primary completion date | October 2021 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 65 Years and older |
Eligibility |
Inclusion Criteria: - attending a medical appointment in the research facility - living at home in one of the two municipalities - being 65+ years Exclusion Criteria: i) neuropsychological criteria: - subject with dementia, pre-existing cognitive impairment (e.g. aphasia, neglect), concomitant severe psychiatric disease, others neurological conditions (e.g. severe depression and behavioral disorders) - severe sensory disturbances (e.g. auditory and/or visual loss) that do not allow completing neuropsychological assessment ii) microbiota' analysis protocol: - individuals with artificial nutrition in progress - history of active uncontrolled gastrointestinal disorders or diseases (inflammatory bowel disease, ulcerative colitis, and Crohn's disease) - subjects who underwent previous major surgery on the gastro-enteric tract, with the exception of cholecystectomy and appendectomy, in the past five years - use of antibiotics or large doses of commercial probiotics in the 4 weeks prior the visit - subjects under radio-chemo-therapy iii) MRI scanning protocol: - subjects with metal fragments in the body, surgically implanted devices containing metal - severe claustrophobia - inability to lie down in the MRI scanner for the duration of the study |
Country | Name | City | State |
---|---|---|---|
Italy | Struttura Semplice Neuropsicologia Clinica/ Centro UVA | Pavia |
Lead Sponsor | Collaborator |
---|---|
IRCCS National Neurological Institute "C. Mondino" Foundation | Institute of Biomedical Technologies-National Research Council (ITB-CNR) |
Italy,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Number of participants with Mild Cognitive Impairment (MCI) in community dwelling older adults | Measured using a battery of well-established neuropsychological tests exploring global cognitive function (Mini Mental State Examination-MMSE) and different cognitive domains: memory (Free and Cues Selective Reminding Test (FCSRT), Logical memory test - Babcock Test, the Rey-Osterrieth Complex Figure Test (ROCF) - delay recall, executive function (Frontal Assessment Battery (FAB)), phonemic and semantic verbal fluency, Trial Making Test (TMT), language (Picture Naming Test), visuo-spatial abilities (Rey-Osterrieth Complex Figure Test (ROCF) - copy). All the test scores are corrected for age, sex, and education and compared with the values available for the Italian population. Diagnosis follows the Albert criteria. | Screening evaluation at T=2 (24 months after T=0) | |
Secondary | Brain MRI measures | Neuroimaging data are acquired, pre-processed and analyzed at the Hospital. MRI data are acquired using a 3 Tesla Skyra scanner (Siemens, Erlangen, Germany). MRI measures include structural (high resolution T1 anatomical scan - grey matter volume/density, cortical thickness; Diffusion Tensor Imaging scan: white matter microstructural integrity) and functional characteristics (resting state fMRI sequence: functional connectivity at rest) | Clinical evaluation at T=3 (32 months after T=0) | |
Secondary | Bacterial composition of stool samples in terms of relative abundance | Total bacterial DNA is extracted from stool samples and the V3-V4 regions of the microbial 16S rRNA gene are PCR-amplified. Alpha-diversity (i.e.: species diversity within samples) is calculated. | Clinical evaluation at T=3 (32 months after T=0) |
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