Marker of Brain Insulin Resistance in AD Prognosis (IREN)

February 10, 2025 updated by: Catherine MALAPLATE, Central Hospital, Nancy, France

Brain Insulin Resistance Index in Plasma Neuronal Exosomes As Predictive Biomarkers of Alzheimer's Disease

Basic research data from the literature on the links between cerebral insulin resistance and Alzheimer's disease (AD) suggest that this pathophysiological mechanism is involved at a very early stage in the development of the disease.

The insulin receptor (IR) is a tyrosine kinase receptor whose activation by insulin binding leads to autophosphorylation of its IRβ subunits and then of the insulin receptor substrate proteins (IRS-1). The ratio of IRS residues phosphorylated on serine 312 (P(Ser312)-IRS-1) to total phosphorylated IRS or IRS phosphorylated on its tyrosines has been proposed by some authors as an index of insulin resistance in the brain. IRS-1 proteins can be measured in exosomes, and in particular in neuronal exosomes isolated from plasma. It is therefore conceivable to measure this index in these biological samples specifically derived from neurons and available from a simple blood test, in order to determine whether it could be of prognostic interest in patients with mild cognitive impairment (MCI), in particular by making it possible to identify at an early stage patients who are going to convert to AD.

Study Overview

Detailed Description

Basic research data from the literature on the links between cerebral insulin resistance and AD suggest that this pathophysiological mechanism is involved at a very early stage in the development of the disease. The multiple effects of insulin on cerebral bioenergetic regulation, synaptic viability, dendritic spine formation and neurotransmitter turnover, as well as on the clearance and degradation of Aβ peptide, All these factors suggest that dysregulation of insulin signalling pathways in the brain may contribute early on to neurodegeneration in AD, and represent both a therapeutic lever and a source of biomarkers relevant to diagnosis and prognosis (1). Several clinical trials are currently underway to validate the value of insulin administration or the use of drugs that affect insulin receptor sensitivity in the treatment of AD patients (2).

Given these arguments in favour of the role of cerebral insulin resistance in the early stages of AD, being able to measure such an index in plasma could prove invaluable in the management of patients. However, it is still difficult to distinguish between peripheral and central origin of the molecules measured, which explains the frequent use of lumbar puncture to diagnose neurological diseases. An alternative strategy could be based on the specific isolation of neuronal exosomes present in the blood. Exosomes are vesicles derived from late endosomes and containing nucleic acids, proteins and lipids. Specific protein markers, such as L1CAM for neurons, enable them to be isolated by immunoaffinity, according to their cellular origin. It is then possible to measure plasma biomarkers whose neuronal origin is certain (4).

IRS-1 proteins can be measured in exosomes, and in particular in neuronal exosomes isolated from plasma, but studies on the use of this index in AD are rare. One team of researchers has taken a particular interest in this question, showing that the insulin resistance index is significantly higher in AD patients than in control subjects or those with another neurodegenerative disease (3). A more recent study also showed that, in Alzheimer's subjects, brain volume was positively correlated with the level of IRS-1 phosphorylated on its tyrosine residues, whereas it was negatively correlated with the level of IRS-1 phosphorylated on serine 312 (5). This index in exosomes has also been proposed to distinguish good from poor responders to insulin treatment (6) or to illustrate the links between amyloid and Tau pathologies in AD (7). To date, no study has proposed using this index in plasma neuronal exosomes as a marker of conversion to AD in patients with mild cognitive impairment.

Study Type

Interventional

Enrollment (Estimated)

122

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Men or women aged 18 to 75
  • Have been treated for mild cognitive impairment at the Nancy CHRU CMRR for 1 to 2 years
  • Person affiliated to a social security scheme or beneficiary of such a scheme
  • Person who has received full information on the organisation of the research and has signed an informed consent form

Exclusion Criteria:

  • Adult subject to a legal protection measure (guardianship, curatorship, safeguard of justice)
  • A person who has converted to clinically proven AD. The fact that an LP to measure AD markers has been performed is not a criterion for inclusion.
  • An adult unable to give consent
  • Person deprived of liberty by a judicial or administrative decision
  • Persons under psychiatric care by virtue of articles L. 3212-1 and L. 3213-1.
  • Pregnant women, women in labour or breastfeeding mothers
  • Persons staying in a health or social establishment for purposes other than research.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: MCI
Men or women aged 18 to 75 followed for mild cognitive disorders at the Nancy CHRU CMRR for 1 to 2 years
At each annual visit (+/- 3 months), 4X10 mL blood will be taken (1 dry tube, 1 heparinised tube, 2 EDTA tubes)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
prognostic performance of insulin resistance indexes
Time Frame: 3 years
Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value of Pser312-IRS1/Ptyr-IRS1 and Pser312-IRS1/IRS1 ratios measured at t0 (inclusion visit) Threshold value for these ratios to predict conversion to AD to be defined (no thresholds for these ratios in the literature) Conversion to AD defined by the clinician according to usual practice
3 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
prognostic performance of insulin resistance indexes in diabetic and non-diabetic MCI patients
Time Frame: 3 years
Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value of Pser312-IRS1/Ptyr-IRS1 and Pser312-IRS1/IRS1 ratios measured at t0 (inclusion visit) Threshold value for these ratios to predict conversion to AD to be defined (no thresholds for these ratios in the literature) Conversion to AD defined by the clinician according to usual practice
3 years
Link between cerebral insulin resistance index and conversion time
Time Frame: 3 years
Time between date of first symptoms and date of conversion to AD in months Value of Pser312-IRS1/Ptyr-IRS1 and Pser312-IRS1/IRS1 ratios measured at t0 (inclusion visit) Conversion to AD defined by the clinician according to usual practice
3 years
Link between cerebral insulin resistance index and glycated haemoglobin level
Time Frame: 3 years
Pser312-IRS1/Ptyr-IRS1 and Pser312-IRS1/IRS1 ratios measured at t0 (inclusion visit) HbA1c in % measured at t0 (inclusion visit)
3 years
Link between cerebral insulin resistance index and vascular resistance
Time Frame: 3 years
Pser312-IRS1/Ptyr-IRS1 and Pser312-IRS1/IRS1 ratios measured at t0 (inclusion visit) Vascular resistance measured at t0 (inclusion visit)
3 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

March 15, 2025

Primary Completion (Estimated)

September 1, 2027

Study Completion (Estimated)

September 1, 2028

Study Registration Dates

First Submitted

February 10, 2025

First Submitted That Met QC Criteria

February 10, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

February 10, 2025

Last Verified

May 1, 2024

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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