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NCT01703117COMPLETEDanonymous

Glutamatergic Dysfunction in Cognitive Aging: Riluzole in Mild Alzheimer's Disease

Sponsor

Source record

Icahn School of Medicine at Mount Sinai

Phase

Source record

Phase 2

Modality

AI-normalized

small molecule

Target

AI-normalized

Glutamate modulation via Riluzole, aimed at reducing glutamate-mediated excitotoxicity in Alzheimer's disease.

Indication / condition

AI-normalized

Alzheimer's Disease

Intervention

Source record

Riluzole, Placebo

Source & freshness

Source record

NCT ID

NCT01703117

Original source

ClinicalTrials.gov

Source last updated

Sep 22, 2021

Ingested at

Jun 16, 2026

Internal sync

Jun 16, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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View original source fields

NCT ID

NCT01703117

Title

Glutamatergic Dysfunction in Cognitive Aging: Riluzole in Mild Alzheimer's Disease

Sponsor

Icahn School of Medicine at Mount Sinai

Status

COMPLETED

Phase

Phase 2

Condition raw

Alzheimer's Disease

Condition normalized

Alzheimer's Disease

Modality raw

small molecule

Modality normalized

small molecule

Target raw

Glutamate modulation via Riluzole, aimed at reducing glutamate-mediated excitotoxicity in Alzheimer's disease.

Target normalized

Glutamate modulation via Riluzole, aimed at reducing glutamate-mediated excitotoxicity in Alzheimer's disease.

Interventions

Riluzole, Placebo

Public preview

Source record

The trial, sponsored by the Icahn School of Medicine at Mount Sinai, investigates Riluzole's efficacy in treating mild Alzheimer's disease, a significant unmet medical need given the increasing prevalence of cognitive aging disorders. The study's completion and the use of established biomarkers (FDG-PET and MRS) enhance its credibility and potential for future commercialization. If successful, Riluzole could position itself as a novel therapeutic option in a market dominated by acetylcholinesterase inhibitors and other symptomatic treatments. The competitive landscape includes ongoing research into disease-modifying therapies, which may impact market entry strategies and pricing. Diligence should focus on the trial's results and the potential for further studies to validate findings and secure regulatory approval.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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