New Blood Analysis Predicts Risk of Death

The general state of a person's metabolism can be diversely illustrated with a new scientific blood analysis. With the aid of the analysis biomarkers predicting short-term mortality have now been discovered. If a person belongs to a risk group based on these biomarker concentrations, he/she has a multifold risk of dying in the next five years compared to the general population. The study is based on blood samples of over 17,000 Finnish and Estonian people.

Mortality was related to four biomarkers in the blood: levels of two proteins (albumin and alpha-1 acidic glycoprotein), lipid metabolism variables (size of large lipoprotein particles responsible for lipid metabolism in the body) and citric acid concentration. These biomarkers relate to normal metabolism and are present in the blood of all people, but according to the study, their relative amounts are crucial.

The biomarkers were independent of known mortality risk factors such as age, smoking, alcohol use, cholesterol, obesity, and blood pressure. The biomarkers associated with mortality also in healthy subjects with no diagnosed diabetes, cancer or vascular diseases.

The new method gives hope that in the future it would be possible to identify increased risk of death at an early stage, so that people could be directed to appropriate follow-up examinations and treatment.

This study is the first of its kind in the world. More research is needed for possible clinical applications in health care.

The new blood analysis utilised in the research was developed by the Computational Medicine Research Group in cooperation between the University of Oulu and the University of Eastern Finland over nearly ten years. The method is based on Nuclear Magnetic Resonance (NMR) spectroscopy and it enables determination of over 200 biomarkers for body metabolism in one blood sample.

The new blood analysis method has been applied in recent years extensively for the research of metabolic diseases such as type 2 diabetes and cardiovascular diseases. Application of this methodology has also provided new information on the health effects of long-term exercise. Around 50 scientific articles have been published on the applications of this method during the last three years.

The current study was cooperation between the University of Oulu, the University of Eastern Finland, the National Institute for Health and Welfare, Institute for Molecular Medicine Finland (FIMM), and Estonian Genome Centre (in the University of Tartu). One of the leaders of this research is Professor Mika Ala-Korpela from the University of Oulu. Dr. Pasi Soininen, the head of the NMR metabolomics laboratory in the University of Eastern Finland, was responsible for the NMR experimentation. The study was published in the prestigious PLoS Medicine publication series on 25 February 2014.

Most Popular Now

New AI Tool Predicts Protein-Protein Int…

Scientists from Cleveland Clinic and Cornell University have designed a publicly-available software and web database to break down barriers to identifying key protein-protein interactions to treat with medication. The computational tool...

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...