Blood Test Identifies Premature Organ Aging and Disease Risk

One in five healthy adults aged 50 and above may have at least one fast-aging organ, and one to two in every 100 may have multiple organs that test older than their actual age.
Scientists have developed a blood test that can determine if your organs are aging prematurely and at risk of failing.
The researchers used a machine-learning algorithm to analyze proteins in the blood, which helped measure the aging of 11 organ systems.
The test can identify which specific organ is causing the problem and predict the person's risk for diseases related to that organ.

Scientists have developed a blood test that can determine if your organs are aging prematurely and at risk of failing. The test can identify which specific organ is causing the problem and predict the person's risk for diseases related to that organ. The study, which involved 5,678 participants, found that some organs age at different rates, and those with rapidly aging organs are at a higher risk of diseases and mortality.

The researchers used a machine-learning algorithm to analyze proteins in the blood, which helped measure the aging of 11 organ systems. They discovered that a larger age gap between the true biological age and the estimated age based on the algorithm's predictions was associated with an increased risk of death. The test was able to detect accelerated aging before symptoms appeared, and the follow-up data showed that accelerated aging increased the risk of disease and death.

The test monitors 11 major body parts, including the heart, brain, and lungs. The researchers found that one in five healthy adults aged 50 and above may have at least one fast-aging organ, and one to two in every 100 may have multiple organs that test older than their actual age. This could help geriatricians identify the organ system that has deteriorated the most in a patient and develop a plan to extend its function.

The study identified associations between accelerated aging in various organs and conditions such as heart failure, Alzheimer's disease progression, diabetes, obesity, hypercholesterolemia, hypertension, and gait impairment. The study focused on a subset of organs, and further research is needed to determine if these findings apply to all organs. The study also highlighted the need for more diverse populations in future studies.


Confidence

95%

Doubts
  • The study focused on a subset of organs, and further research is needed to determine if these findings apply to all organs.

Sources

96%

  • Unique Points
    • The test detected accelerated aging before symptoms appeared, and the follow-up data showed that accelerated aging increased the risk of disease and death.
  • Accuracy
    No Contradictions at Time Of Publication
  • Deception (100%)
    None Found At Time Of Publication
  • Fallacies (100%)
    None Found At Time Of Publication
  • Bias (100%)
    None Found At Time Of Publication
  • Site Conflicts Of Interest (100%)
    None Found At Time Of Publication
  • Author Conflicts Of Interest (100%)
    None Found At Time Of Publication

92%

  • Unique Points
    • The study identified associations between accelerated aging in various organs and conditions such as heart failure, Alzheimer's disease progression, diabetes, obesity, hypercholesterolemia, hypertension, and gait impairment.
    • The study focused on a subset of organs, and further research is needed to determine if these findings apply to all organs.
    • The study also highlighted the need for more diverse populations in future studies.
  • Accuracy
    No Contradictions at Time Of Publication
  • Deception (100%)
    None Found At Time Of Publication
  • Fallacies (100%)
    None Found At Time Of Publication
  • Bias (100%)
    None Found At Time Of Publication
  • Site Conflicts Of Interest (100%)
    None Found At Time Of Publication
  • Author Conflicts Of Interest (80%)
    • Wyss-Coray and several co-authors filed a patent application related to this work. He and some co-authors are co-founders and scientific advisors of Teal Omics Inc., with equity stakes. Wyss-Coray is also co-founder and scientific advisor of Alkahest Inc. and Qinotto Inc., with equity stakes. Other authors are on the advisory board and own stocks in Vivid Genomics and Circular Genomics. Others reported research support from GSK and Eisai, and consulting for BioMarin, MyOme, and Tenaya Therapeutics.

    95%

    • Unique Points
      • The test monitors 11 major body parts, including the heart, brain, and lungs.
      • The researchers found that one in five healthy adults aged 50 and above may have at least one fast-aging organ, and one to two in every 100 may have multiple organs that test older than their actual age.
    • Accuracy
      No Contradictions at Time Of Publication
    • Deception (100%)
      None Found At Time Of Publication
    • Fallacies (100%)
      None Found At Time Of Publication
    • Bias (100%)
      None Found At Time Of Publication
    • Site Conflicts Of Interest (100%)
      None Found At Time Of Publication
    • Author Conflicts Of Interest (100%)
      None Found At Time Of Publication

    95%

    • Unique Points
      • This could help geriatricians identify the organ system that has deteriorated the most in a patient and develop a plan to extend its function.
    • Accuracy
      No Contradictions at Time Of Publication
    • Deception (100%)
      None Found At Time Of Publication
    • Fallacies (100%)
      None Found At Time Of Publication
    • Bias (100%)
      None Found At Time Of Publication
    • Site Conflicts Of Interest (100%)
      None Found At Time Of Publication
    • Author Conflicts Of Interest (100%)
      None Found At Time Of Publication

    96%

    • Unique Points
      • By studying 5,678 people, researchers found that some organs age at different rates, and those with rapidly aging organs are at a higher risk of diseases and mortality.
      • Using a machine-learning algorithm, the researchers analyzed proteins in the blood to measure the aging of 11 organ systems.
      • They discovered that a larger age gap between the true biological age and the estimated age based on the algorithm's predictions was associated with an increased risk of death.
    • Accuracy
      No Contradictions at Time Of Publication
    • Deception (100%)
      None Found At Time Of Publication
    • Fallacies (100%)
      None Found At Time Of Publication
    • Bias (100%)
      None Found At Time Of Publication
    • Site Conflicts Of Interest (100%)
      None Found At Time Of Publication
    • Author Conflicts Of Interest (100%)
      None Found At Time Of Publication