Retinal Neurodegeneration in Type 2 Diabetes as Biomarker for Alzheimer´s Disease

NCT ID: NCT02360527

Last Updated: 2017-04-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

126 participants

Study Classification

OBSERVATIONAL

Study Start Date

2014-09-30

Study Completion Date

2015-12-31

Brief Summary

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A clear association between type 2 diabetes (T2D) and Alzheimer's disease (AD) has been reported. This association is independent of vascular impairment, and therefore, it could be attributed to neurodegeneration triggered or accelerated by diabetes itself. At present there are no methods to identify T2D patients at risk for developing AD. The retina shares many features with the brain and, therefore, has been suggested as an easily accessible way of examining pathology in the brain. In fact, many patients with AD present retinal abnormalities. However, the diagnosis of diabetes, a condition frequently associated with retinal neurodegeneration, has not been considered. On this basis, the final aim of this proposal is to identify diabetic patients at risk for developing AD based on the assessment of retinal neurodegeneration by means of non-invasive tests. Specific aims: 1) To compare the prevalence of morphological and functional abnormalities related to retinal neurodegeneration among three groups of T2D patients: patients with AD, patients with Mild Cognitive Impairment (MCI) and patients without AD or MCI. 2) To assess whether the retinal neurodegenerative features are related to severity of AD. 3) To explore whether the combined retinal neurodegeneration in diabetic patients with AD has a different functional and/or morphological pattern in comparison with neurodegeneration secondary to diabetes alone. Methods: Case-control study. Retinal neurodegeneration will be assessed by mutifocal electroretinogram (mfERG) and spectral domain optical coherence tomography (SD-OCT). The potential confounders will be considered in data analyses. Feasibility: A unique multidisciplinary consortium has been created in order to warrant the feasibility of the project Expected impact: This innovative approach will fill a gap that currently exist in the health care system and will reduce the economic burden associated with T2D patients with AD. In addition, this project would be the backbone for future prospective studies.

Detailed Description

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A case control study in the recruitment will be carried out from the Diabetes outpatient clinic of a tertiary hospital (HUVH) and from the ACE Foundation. The investigators will include the following groups: 1) Type 2 diabetic patients with AD; B) Type 2 diabetic patients with MCI; 3) Type 2 diabetic patients with normal cognitive status; 4) Non-diabetic patients with AD. The groups will be matched by age (± 5 years), gender, risk factors related to AD (APOE genotype and family history of dementia), diabetes duration and Hba1c (±1%)- the last two criteria apply for the three groups of diabetic patients. Inclusion criteria: Written informed consent obtained from the patient; Age \>65years; Diabetes duration\>5 years; HbA1c \< 10%; No apparent or mild non-proliferative DR according to the International Clinical Diabetic Retinopathy Disease Severity Scale. Exclusion criteria: Patients with other neurodegenerative diseases of the brain or retina (i.e. glaucoma) or cerebrovascular diseases. Sample size calculation: Assuming that diabetic patients will present around 30% of abnormal mfERG implicit time, and considering that this figure will be up 60% in those diabetic patients with AD, the number of patients required in each group would be 25. This calculation has been performed taking into account a 2-side risk level of 0.05 and a statistical power of 80%. However, it should be noted that this estimation has been performed taken into account the variables concerning AD. Therefore, it is foreseeable that more patients will be needed to obtain valid results for MCI. Consequently, the investigators feel it reasonable to extend the sample to 35 subjects per group.

The study will be divided into two stages (as will be further detailed): -Stage I: This will be the first step of the project and type 2 diabetic patients with AD and patients with normal cognitive status will be compared. -Stage II: Type 2 diabetic patients with MCI will be compared with patients with normal cognitive status or AD.

Conditions

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Retinal Neurodegeneration Alzheimer´s Disease Type 2 Diabetes

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Type 2 diabetic patients with AD

35 patients

No interventions assigned to this group

Type 2 diabetic patients with MCI

35 patients

No interventions assigned to this group

Type 2 diabetic patients controls

35 patients

No interventions assigned to this group

Non-diabetic patients with AD

35 patients

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Written informed consent obtained from the patient; Age \>65years; Diabetes duration\>5 years; HbA1c \< 10%; No apparent or mild non-proliferative DR according to the International Clinical Diabetic Retinopathy Disease Severity Scale

Exclusion Criteria

* Patients with other neurodegenerative diseases of the brain or retina (i.e. glaucoma) or cerebrovascular diseases.
Minimum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Hospital Universitari Vall d'Hebron Research Institute

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Cristina Hernandez, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Vall d´Hebron Research Institute VHIR

Locations

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Vall d´Hebron Research Institute VHIR

Barcelona, Catalonia, Spain

Site Status

Countries

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Spain

References

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Ciudin A, Simo-Servat O, Hernandez C, Arcos G, Diego S, Sanabria A, Sotolongo O, Hernandez I, Boada M, Simo R. Retinal Microperimetry: A New Tool for Identifying Patients With Type 2 Diabetes at Risk for Developing Alzheimer Disease. Diabetes. 2017 Dec;66(12):3098-3104. doi: 10.2337/db17-0382. Epub 2017 Sep 26.

Reference Type DERIVED
PMID: 28951388 (View on PubMed)

Other Identifiers

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PR(IR)15/2014

Identifier Type: -

Identifier Source: org_study_id

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