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Have you ever wondered what your eye fluid can tell you?
A recent study found that eye fluid contains information about the molecular age and health status of the eye. The researchers analyzed microscopic droplets of fluid usually removed during eye surgery and found almost 6,000 proteins belonging to different cell types of the eye.
The study also developed an artificial intelligence model that can estimate a person's age based on their protein profile. The work was published in the journal Cell on October 19.
Lead author of the study, Vinit Mahajan, professor of ophthalmology at Stanford University, emphasized the uniqueness of the eye as an organ that allows you to monitor the development of diseases. He stated that the goal was to link visible changes in the eye to molecular changes in the fluid.
To analyze the eye fluid, the researchers used a liquid biopsy method that allowed them to detect 10 times more proteins than in previous studies. Using the TEMPO software tool, they were able to determine the cell type of each protein.
Using a machine learning model, the researchers created a "protein clock" that can predict the molecular age of the eye based on 26 proteins. The model showed that diseases such as diabetic retinopathy and uveitis cause accelerated aging of certain cell types.
The study also revealed the presence of Parkinson's-related proteins in the eye fluid. These proteins are usually only detected after death, making it difficult to diagnose Parkinson's disease. The researchers proposed using screening of these proteins in the eye fluid for early diagnosis and monitoring of disease progression.
The authors emphasized that their findings could have implications for precision medicine and clinical trials. They also announced their intention to analyze samples from more patients and eye diseases.
A recent study found that eye fluid contains information about the molecular age and health status of the eye. The researchers analyzed microscopic droplets of fluid usually removed during eye surgery and found almost 6,000 proteins belonging to different cell types of the eye.
The study also developed an artificial intelligence model that can estimate a person's age based on their protein profile. The work was published in the journal Cell on October 19.
Lead author of the study, Vinit Mahajan, professor of ophthalmology at Stanford University, emphasized the uniqueness of the eye as an organ that allows you to monitor the development of diseases. He stated that the goal was to link visible changes in the eye to molecular changes in the fluid.
To analyze the eye fluid, the researchers used a liquid biopsy method that allowed them to detect 10 times more proteins than in previous studies. Using the TEMPO software tool, they were able to determine the cell type of each protein.
Using a machine learning model, the researchers created a "protein clock" that can predict the molecular age of the eye based on 26 proteins. The model showed that diseases such as diabetic retinopathy and uveitis cause accelerated aging of certain cell types.
The study also revealed the presence of Parkinson's-related proteins in the eye fluid. These proteins are usually only detected after death, making it difficult to diagnose Parkinson's disease. The researchers proposed using screening of these proteins in the eye fluid for early diagnosis and monitoring of disease progression.
The authors emphasized that their findings could have implications for precision medicine and clinical trials. They also announced their intention to analyze samples from more patients and eye diseases.
