Atrial fibrillation, clots, and stroke: the heart’s JNK2 as a target

Who could benefit from this research

What this research studies

If you have atrial fibrillation or are at risk for stroke, this research looks at how JNK2 in the heart influences blood clotting and stroke risk. The project builds on prior findings showing that JNK2 activity can travel in particles from the heart and make platelets more likely to form clots, potentially leading to stroke. Researchers will study the biological mechanisms in animal models and human cells, and test whether targeting JNK2 could both predict risk and reduce clotting. The goal is to identify new ways to prevent stroke in people with AF or similar conditions, especially as aging raises risk. This work could translate into better-guided therapies for preventing embolic events in patients with AF.

Why it matters

Where this research is happening

• Ohio State University
  Columbus, United States Active

Researchers

• Principal investigator: Ai, Xun — Ohio State University
• Study coordinator: Ai, Xun

Related research

Other NIH-funded projects on the same topics.

• DECIDE-AF: a shared decision tool in your health portal to help prevent strokes in atrial fibrillation

  A patient-friendly tool in your electronic health record helps you and your doctor choose the right way to prevent strokes if you have atrial fibrillation.

  NIH research Univ of Massachusetts Med Sch Worcester · Worcester, United States · NIH-11450366

• Advancing Shared Decision Making for Stroke Prevention in Atrial Fibrillation

  Aims to combine data from three big trials to understand how decision aids help people with atrial fibrillation choose anticoagulation to prevent stroke, in a patient-centered way.

  NIH research Utah State Higher Education System--University of Utah · Salt Lake City, United States · NIH-11445391

• Personalized stroke risk prediction for atrial fibrillation patients using advanced data and models

  Aims to create a personalized, easy-to-use tool that predicts stroke risk for people with atrial fibrillation using big health data and transparent machine-learning methods.

  NIH research Denver Health and Hospital Authority · Denver, United States · NIH-11314478

• New AI approach to detect and predict atrial fibrillation after stroke

  A patient-friendly AI-based method is being developed to spot atrial fibrillation early in people who have had a stroke, using wearable heart-rate signals.

  NIH research Emory University · Atlanta, United States · NIH-11292390

• Improving stroke prevention for patients with atrial fibrillation in emergency departments

  This study is looking at how to help doctors in emergency rooms prescribe blood thinners better for patients with atrial fibrillation, which can help lower the risk of stroke.

  NIH research Oregon Health & Science University · Portland, United States · NIH-11145021

• Understanding Blood Thinners for Older Stroke Patients with Atrial Fibrillation

  This project helps doctors choose the best blood thinner for older patients who have had a stroke and also have an irregular heartbeat called atrial fibrillation.

  NIH research Ut Southwestern Medical Center · Dallas, United States · NIH-11132827

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.