NCT07832656Not yet recruiting
Proteome-Wide Association and LLM-Based Prioritization of Type 2 Diabetes Protein Targets
Integrative Proteome-Wide Association Study and Large Language Model-Based Prioritization of Causal Protein Targets of Type 2 Diabetes
Source: ClinicalTrials.gov · Last updated 28 Sept 2026
Brief summary (registry, in English)
Type 2 diabetes is a common condition in which the body has difficulty controlling blood sugar. This study will use existing genetic, protein, and health data from prior research studies to identify blood proteins that may play a role in type 2 diabetes. The study will not recruit participants, provide treatment, or collect new samples. Researchers will use computer-based analyses to identify and prioritize protein targets for future laboratory and clinical research. The goal is to support the development of better approaches for understanding, preventing, and treating type 2 diabetes.
- Status (registry)
- Not yet recruiting
- Study type
- Observational
- Enrollment
- 31994 (estimated)
- First submitted
- 15 Sept 2026
- Start date
- 15 Sept 2026
- Primary completion date
- 2 Jul 2027
- Lead sponsor
- Louisiana State University Health Sciences Center in New Orleans
- Diseases
- Type 2 diabetes
- NCT number
- NCT07832656
What you commit to
- Study type: Observational
- Planned participants: 31994
- From 15 Sept 2026 to the primary completion date, 2 Jul 2027
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Participants lacking genetic data or plasma proteomic data required for protein prediction modeling.
- This study will conduct a retrospective secondary analysis of existing, controlled-access datasets. No new participants will be recruited or contacted. Type 2 diabetes genome-wide association summary statistics will also be used for association analyses; the participant-level eligibility criteria above apply to individual-level source-study records used for protein prediction modeling.
Age
- Participants younger than 40 years or older than 84 years at enrollment in the source studies.
Who the study is looking for
- Participants enrolled in the source studies who were aged 40 to 84 years at enrollment.
- Availability of genetic data and plasma proteomic data for population-specific protein prediction modeling.
- Participants with or without type 2 diabetes, depending on the source dataset and analytic objective.
Age in the registry: 40 years to 84 years · Sex: All · Accepts healthy volunteers
This page is information, not medical advice. Discuss any trial with your doctor.