CVD-21: A novel instrument for predicting and monitoring cardiovascular disease

NewsGuard 100/100 Score

Researchers at Uppsala University have developed an instrument that makes it possible to measure 21 biomarkers for cardiovascular disease simultaneously with great precision by means of a simple blood test. The aim is to use this type of tool to improve the prediction of cardiovascular complications and facilitate more personalized treatment for patients. It will also make it easier to monitor the effects of treatment. The study has been published in the scientific journal PLOS One.

The instrument now developed is based on analyses of 368 proteins in blood. The samples come from over 10,000 patients who have participated in international studies of new ways of treating cardiovascular disease and atrial fibrillation.

As a result of their analyses, the researchers have identified 21 circulating proteins (CVD-21 panel) that can be used as biomarkers. All these biomarkers reflect functional disturbances that influence the development of cardiovascular disease as well as the benefits and risks associated with different treatments. The CVD-21 instrument measures protein contents down to very low concentrations using molecular biology technology known as Proximity Extension Assay (PEA), which has been developed by researchers in Uppsala. Moreover, a very small volume of blood plasma is required for the analysis.

The information from the CVD-21 instrument has been evaluated using blood samples and clinical information from 4,224 patients with chronic coronary disease.

With regard to the results of risk assessment for all types of cardiovascular complications, CVD-21 combined with the protein troponin T was comparable with a model using a couple of previously known risk markers for cardiovascular disease. In addition, via the instrument, the researchers identified nine new biomarkers with predictive significance for various cardiovascular complications, such as myocardial infarction, cardiovascular death and hospitalisation for heart failure. These biomarkers reflect a range of disease processes and can all contribute to increased knowledge of the underlying causes of cardiovascular disease. Biomarker-based risk assessment also proved to outperform risk assessment using only clinical variables, which is the method primarily used in current routine clinical care.

Our biomarker-based instrument provides information about many proteins with known or unknown functions at the same time and has been developed for research and future application in care for cardiovascular diseases. Our study shows that concentrations of biomarkers can reveal various signatures associated with heart complications. The development of CVD-21 is a first step that involves simultaneously quantifying many cardiovascular processes in a single drop of blood."

Agneta Siegbahn, Professor of Clinical Coagulation Science, Uppsala University

In the future, instruments such as CVD-21 could play an important role in supporting decisions in cases of cardiovascular disease as well as various other diseases. For example, based on selected biomarkers, patients with cardiovascular disease could be divided into more specific sub-categories than we have at present, which would pave the way for more customised treatment strategies.

The instrument has been developed in collaboration between Uppsala University, Olink Proteomics and SciLifeLab.

Source:
Journal reference:

Siegbahn, A. (2023). Development and validation of a quantitative Proximity Extension Assay instrument with 21 proteins associated with cardiovascular risk (CVD-21). PLOS ONE. doi.org/10.1371/journal.pone.0293465.

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...
New QR4 algorithm outperforms previous models in predicting cardiovascular disease risk