Mapping how cartilage cells respond to joint injury with a new big-data imaging method

Using STRAINS, a big data method that analyzes the spatiotemporal distribution of cell phenotypes, to investigate mechanotransduction pathways in injured cartilage

['FUNDING_R21'] · CORNELL UNIVERSITY · NIH-11184242

This project uses a new big-data imaging method to track how cartilage cells change after joint injury, aiming to help people at risk for osteoarthritis.

Quick facts

Phase['FUNDING_R21']
Study typeNih_funding
SexAll
SponsorCORNELL UNIVERSITY (nih funded)
Locations1 site (ITHACA, UNITED STATES)
Trial IDNIH-11184242 on ClinicalTrials.gov

What this research studies

The team will use a tool called STRAINS to record the behavior of thousands of cartilage cells in real time after impact injury and combine those measurements with machine-learning analysis to make detailed maps of cell activity across the tissue. By linking where and when cells change their signaling or die, researchers hope to identify the mechanical and molecular pathways that start osteoarthritis after trauma. The work uses lab-based tissue and model systems rather than a clinical treatment trial, focusing on advanced imaging and data analysis to reveal patterns not seen before. Findings are intended to point to biological targets and timing for future therapies to prevent post-injury joint degeneration.

Who could benefit from this research

Good fit: People who recently had a joint injury (for example ACL tears) or who are at high risk for post-traumatic osteoarthritis would be most relevant to this work.

Not a fit: People with unrelated medical conditions or those with long-standing, advanced osteoarthritis are unlikely to get direct benefit from this basic-lab project.

Why it matters

Potential benefit: If successful, this work could reveal early cell events and targets to help prevent or slow post-traumatic osteoarthritis after joint injuries.

How similar studies have performed: Prior basic research has improved understanding of cartilage mechanotransduction, but the STRAINS spatiotemporal big-data approach is novel and largely untested for guiding human therapies.

Where this research is happening

ITHACA, UNITED STATES

Researchers

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 below.

View on NIH RePORTER →

Last reviewed 2026-05-15 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.