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NCT01666223COMPLETEDanonymous

Effect of Bile Acids in the Gut on GLP-1 Secretion in Healthy Subjects and Patients With Type 2 Diabetes

Sponsor

Source record

University Hospital, Gentofte, Copenhagen

Phase

Source record

Completed (not classified in traditional phases)

Modality

AI-normalized

small molecule

Target

AI-normalized

GLP-1 secretion modulation via bile acids, specifically through the TGR5 receptor.

Indication / condition

AI-normalized

Type 2 Diabetes

Intervention

Source record

Colesevelam, Chenodeoxycholic Acid, saline, Colesevelam 3750 mg + chenodeoxycholic acid 1250 mg

Source & freshness

Source record

NCT ID

NCT01666223

Original source

ClinicalTrials.gov

Source last updated

Dec 24, 2013

Ingested at

Jun 13, 2026

Internal sync

Jun 13, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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View original source fields

NCT ID

NCT01666223

Title

Effect of Bile Acids in the Gut on GLP-1 Secretion in Healthy Subjects and Patients With Type 2 Diabetes

Sponsor

University Hospital, Gentofte, Copenhagen

Status

COMPLETED

Phase

Completed (not classified in traditional phases)

Condition raw

Type 2 Diabetes, Obesity

Condition normalized

Type 2 Diabetes, Obesity

Modality raw

small molecule

Modality normalized

small molecule

Target raw

GLP-1 secretion modulation via bile acids, specifically through the TGR5 receptor.

Target normalized

GLP-1 secretion modulation via bile acids, specifically through the TGR5 receptor.

Interventions

Colesevelam, Chenodeoxycholic Acid, saline, Colesevelam 3750 mg + chenodeoxycholic acid 1250 mg

Public preview

Source record

This study investigates the role of bile acids in enhancing GLP-1 secretion, which has significant implications for the treatment of Type 2 Diabetes and obesity. Given the rising prevalence of these conditions, the potential therapeutic applications of bile acid modulation could position this research favorably within the diabetes treatment market. The findings may provide insights into new treatment modalities that could compete with existing GLP-1 receptor agonists and DPP-4 inhibitors. Companies focusing on metabolic diseases may consider this research for potential partnerships or acquisitions, especially if the results indicate a novel mechanism of action or improved patient outcomes.

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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