NIH-funded research R01 grant

Integrative model of metabolites, equol, and heart disease

Official title: Integrative Model of Metabolomics, Equol and Atherosclerotic cardiovascular disease (IMMEA)

Funded at University of Pittsburgh at Pittsburgh · NIH-11411180 · Data updated 2026-11-12

This grant looks at how a person’s body processes soy isoflavones into equol and how that relates to atherosclerotic heart disease, using complex data to build predictive models.

More Cardiovascular Disease research and trials

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of Pittsburgh at Pittsburgh
NIH-funded
Lab location1 site (Pittsburgh, United States)
Project startSeptember 1, 2024
Project endMay 31, 2028
Funding year2026
Award (this year)$656,467
NIH project number5R01HL169332-03
Project IDNIH-11411180 on NIH RePORTER

Who could benefit from this research

Could help

Adults at risk for ASCVD or with existing ASCVD, especially those whose diet includes soy/isoflavones and varying omega-3 intake.

Less likely to help

Individuals without ASCVD risk factors or in populations not represented in the study cohorts may see limited benefit.

What this research studies

Researchers will use data from Japanese cohorts to see if being an equol producer is linked to ASCVD. They will combine equol levels, omega-3 fats, and other metabolites to create probabilistic graphical models that predict ASCVD risk. The study focuses on people, blood samples, and lifestyle factors collected in existing cohorts to understand links between diet, metabolism, and heart disease. Findings could help tailor prevention strategies based on metabolic profiles and diet. This work aims to translate complex biomarker data into insights relevant to patients’ heart health.

Why it matters

Potential benefit: If successful, the work could improve personalized risk assessment and prevention strategies for ASCVD based on a person’s metabolite profile and equol production.

How similar studies have gone: Previous studies suggest diet and metabolism influence ASCVD, but this project advances by integrating metabolites and equol production into predictive models.

Where this research is happening

  • University of Pittsburgh at Pittsburgh
    Pittsburgh, United States
    Active

Researchers

  • Principal investigator: Sekikawa, Akira — University of Pittsburgh at Pittsburgh
  • Study coordinator: Sekikawa, Akira

Related research

Other NIH-funded projects on the same topics.

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  • How T cell genes and signals affect atherosclerosis

    This grant studies how a specific immune cell and its signals influence atherosclerosis in people, aiming to uncover new ways to reduce inflammation and heart disease risk.

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  • Understanding why some artery plaques become dangerous using genetics, tissue maps, and advanced imaging

    Researchers will combine human genetic data with single-cell and spatial tissue maps to find why certain atherosclerotic plaques are more likely to cause heart events, aiming to improve prediction and prevention.

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  • Opportunistic heart risk detection from abdominal CTs using robust AI

    A doctor-scientist team at Stanford will use existing abdominal CT scans and medical records to build a trustworthy AI tool that helps predict future heart problems in adults.

    NIH research Stanford University · Stanford, United States · NIH-11381592

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.