MSU Researchers Combine Nanomedicine and AI to Detect Disease Biomarkers
Michigan State University researchers use nanomedicine and AI to identify rare biomarkers for prostate cancer and atherosclerosis, advancing early detection and personalized medicine.
Imagine searching for a single person in a crowd of 75,000 fans at Spartan Stadium. Now, consider this task multiplied 100,000 times to understand the challenge scientists face when looking for disease markers, or biomarkers, in the blood. A research team from Michigan State University (MSU), along with scientists from Augusta University, Karolinska Institute, and Stanford University, has taken a groundbreaking step in this complex search using nanomedicine, artificial intelligence (AI), and causal analysis.
Cells affected by disease secrete proteins and other biomolecules into the bloodstream. These proteins offer valuable clues about a patient's health status or disease, and identifying them can significantly advance the development of personalized medical treatments, or precision medicine.
The Breakthrough
Morteza Mahmoudi, an associate professor in the Department of Radiology and the Precision Health Program at MSU, explained the significance of this research. “Human blood plasma contains many different proteins, and the rarest proteins are the ones that contain valuable insights into diseases,” Mahmoudi said. “To magnify information from the less abundant plasma proteins, we introduced small particles — nanoparticles that can’t be seen with the human eye — to plasma samples. Then we harnessed AI and actual causality to analyze the results. This is how we identify potential biomarkers for metastatic prostate cancer and atherosclerosis.”
Methodology
The team’s innovative approach involves using nanoparticles to interact with plasma proteins, creating a “protein corona.” This method enhances the detection of rare proteins. By combining this with AI and causal analysis, the researchers can identify the specific proteins linked to diseases more effectively.
Potential Implications
Mahmoudi emphasized the potential impact of their discovery. “It’s the first time that nanomedicine, protein corona, AI, and actual causality have been used together to identify a cause for disease,” he said. “We’re excited because this discovery has the potential to advance early detection and develop targeted therapies for prostate cancer and atherosclerosis.”
The research findings were recently published in the Chemical Engineering Journal. MSU researchers Mohammad Ghassemi, Borzoo Bonakdarpour, and Liangliang Sun made significant contributions to this research. Funding sources include the American Heart Association, the U.S. Department of Defense Prostate Cancer Research Program’s Physician Research Award, the National Cancer Institute, and the National Science Foundation.
This breakthrough could lead to more accurate and timely diagnoses, ultimately improving patient outcomes and advancing the field of precision medicine.
Frequently Asked Questions
What are biomarkers, and why are they important?
Biomarkers are measurable indicators of a biological state or condition, such as proteins in the blood. They are crucial for diagnosing diseases, monitoring treatment effectiveness, and developing personalized medical treatments.
What is nanomedicine, and how is it used in this research?
Nanomedicine involves the use of nanoparticles to interact with biological systems. In this research, nanoparticles are used to enhance the detection of rare proteins in blood plasma, making it easier to identify disease biomarkers.
How does AI contribute to the research?
AI is used to analyze the data collected from the interaction between nanoparticles and plasma proteins. It helps identify patterns and potential biomarkers that might be missed by human analysis alone.
What is the significance of using causal analysis in this study?
Causal analysis helps determine the cause-and-effect relationships between the identified biomarkers and the diseases. This ensures that the biomarkers are not just correlated but are indeed responsible for the disease state.
What are the potential real-world applications of this research?
The research could lead to more accurate and early detection of diseases like prostate cancer and atherosclerosis. It also paves the way for the development of targeted therapies and personalized medical treatments.