Elevated levels of five blood proteins can help predict mortality risk

Elevated levels of five proteins in our blood can help predict risk of mortality, a new study from the University of Surrey finds. Scientists believe the proteins (PLAUR, SERPINA3, CRIM1, DDR1 and LTBP2), that play key roles in the development of diseases such as cancer and inflammation, may also contribute to the risk of dying. Findings could help clinicians identify individuals most at risk from mortality and lead to earlier medical interventions.

The study also discovered 392 proteins associated with an increased risk of death within a 5-year timeframe and a further 377 proteins associated with dying within 10 years, even when adjusting for health and lifestyle factors, such as smoking or pre-existing disease diagnoses. Proteins perform a wide range of essential functions in the body and are vital for growth, development, and the structure of every cell.

Using data from the UK Biobank, scientists analyzed blood protein profiles from over 38,000 middle aged and older adults, some of whom had suffered non-accidental death, within a 5- or 10-year period after blood samples were taken. The aim of the study was to determine if the risk for early non-accidental mortality is reflected by levels of circulating blood proteins.

Not only can different proteins reflect our overall health, and help identify ongoing disease, what we have shown is that they can reflect the risk of dying within a certain period. Altered levels of such proteins are an indicator that all is not well in the body and particular life limiting conditions could arise.

Early identification of individuals at most risk could enable targeted interventions and treatment plans, helping to improve life span. Ultimately, this will also help our health services reduce costs, as early interventions have beneficial health economic effects by lowering the need for long-term and costly care."

Professor Nophar Geifman, Professor of Health and Biomedical Informatics, University of Surrey

Scientists found that proteins responsible for cells communicating with each other, increasing the number of cells, and processes of inflammation, were most predictive of mortality within 5 years. For example, high levels of the protein (SERPINA1), responsible for protecting the lungs against certain enzymes, which cause inflammation, was identified as being a strong predictor of 5-year mortality.

It was also uncovered that five proteins were key indicators of mortality regardless of timeframe. This suggests these proteins play key roles in biological processes that result in conditions with poor outcomes. For example, elevated levels of SERPINA3 are associated with lower survival rates in several types of skin cancer and carcinomas.

Natalia Koziar, a PhD candidate at the University of Surrey and lead author, said:

"Certain blood proteins reflect more gradual, chronic processes that affect long term survival whilst others are reflective of more immediate, acute health risks, like troponin for heart disease. The new information could be useful to clinicians in creating a scorecard of protein levels that help to identify individuals most at risk of developing conditions with poor outcomes."

This study was published in PLoS One.

Source:
Journal reference:

Koziar, N., et al. (2025). A plasma-based protein signature association with all-cause mortality. PLoS ONE. doi: 10.1371/journal.pone.0336845. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0336845

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Research explores new solvent strategies to extend shelf life of injectable therapeutics