We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Guangzhou Pluslife Biotech Co., Ltd.

Download Mobile App




Events

ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

Single Blood Test Predicts Risk of Multiple Diseases Simultaneously Using AI

By LabMedica International staff writers
Posted on 26 Sep 2022
Print article
Image: Metabolomic profiling reveals risk of multiple diseases all at once (Photo courtesy of BIH)
Image: Metabolomic profiling reveals risk of multiple diseases all at once (Photo courtesy of BIH)

Prevention is better than cure. To prevent diseases from occurring in the first place, it is important to identify those individuals who are at particularly high risk as early as possible. Yet current screening methods are often costly and focus only on one disease at a time. Now, scientists have profiled 168 metabolic markers in the blood samples of over 100,000 people and combined this data with their medical histories. With the help of artificial intelligence (AI), they were able to predict the risk of onset of several diseases with just one test and show where early intervention could be beneficial.

Scientists from the Berlin Institute of Health at Charité (BIH, Berlin, Germany), Charité – Universitätsmedizin Berlin (Berlin, Germany), and University College London (London, UK) began to delve into the massive treasure trove of data in the UK Biobank. The British study has been tracking more than 500,000 participants for over 15 years. As all Britons have had an electronic health record since the 1990s, these anonymized data allows for the observation of disease development over long periods of time. Recently, the UK Biobank made an enormous data package available to researchers: participants’ frozen blood samples, some of which were more than 15 years old, had been analyzed to measure their levels of 168 metabolites using nuclear magnetic resonance (NMR) spectroscopy. This method is considered robust, easy to perform, and relatively inexpensive. It measures the levels of substances like cholesterol and blood sugar, but also molecules that are lesser known and less frequently identified in blood tests.

The scientists examined the participants’ data for 24 common diseases – including metabolic disorders like diabetes, cardiovascular diseases like heart attacks and heart failure, musculoskeletal diseases, a variety of cancers, and neurological diseases like Parkinson’s. They determined which participants had contracted any of the 24 diseases in the course of the study and combined this information with the composition of metabolites in their blood (the blood metabolome) from a sample that had been taken before the onset of the disease. With this information, they then turned to AI to create a model that is able to calculate the extent to which the blood’s metabolomic state predicts the development of a future disease.

“We tested the metabolomic profiles for their predictive power and compared these results with conventional methods for calculating disease risk,” said Thore Bürgel, a doctoral student at the BIH’s Digital Health Center and co-first author of the paper along with Jakob Steinfeldt. “We found that our profiles improved risk prediction for the majority of the diseases studied when we combined them with information about the age and sex of the participants.”

The combination of age, sex, and metabolomic state was able to predict the risk of diabetes or heart failure, for example, better than established clinical predictors that measure sugar or cholesterol in the blood. And with a cost of under Euro 20, examining the metabolome is also relatively inexpensive. The scientists have gone one step further with their model and calculated the thresholds that could signal when preventive interventions would be advisable. Specifically: At what thresholds does the new method best identify those who could be saved from heart failure, for example, through the use of medication?

“Again, we saw that metabolomic profiling combined with information on age and sex was as good as or even better than conventional analyses at identifying patients who could benefit from preventive intervention in the form of medication or lifestyle changes,” said Prof. Roland Eils, founding director of the BIH’s Digital Health Center. “We have since been able to successfully validate our model in four other cohort studies conducted in the Netherlands and the UK, indicating that our models are broadly applicable.”

Related Links:
BIH 
Charité – Universitätsmedizin Berlin 
University College London 

Gold Supplier
Real-Time PCR System
Applied Biosystems QuantStudio 7 Pro Dx
New
Molecular Diagnostic STI Test
MOLgen PCR-12 STI
New
Calcitonin ELISA Test
Calcitonin AccuBind ELISA Test System
New
Serratia Marcescens Test
CHROMagar Serratia

Print article
SUGENTECH INC.

Channels

Clinical Chem.

view channel
Image: Equivalence of Genetically Elevated LDL and Lipoprotein(a) on Myocardial Infarction (Photo courtesy of Viborg Regional Hospital)

Familial Hypercholesterolemia Patients With ACD Have Elevated Lipoprotein(a)

Familial hypercholesterolemia (FH) is a genetic disorder characterized by high cholesterol levels, specifically very high levels of low-density lipoprotein (LDL cholesterol), in the blood and early cardiovascular... Read more

Microbiology

view channel
Image: Ring-form trophozoites of Plasmodium vivax in a thin blood smear (Photo courtesy of Centers for Disease Control and Prevention)

Immune Regulators Predict Severity of Plasmodium vivax Malaria

Cytokines and chemokines are immune response molecules that display diverse functions, such as inflammation and immune regulation. In Plasmodium vivax infections, the uncontrolled production of these molecules... Read more

Pathology

view channel
Image: Breast cancer spread uncovered by new molecular microscopy (Photo courtesy of Wellcome Sanger Institute)

New Molecular Microscopy Tool Uncovers Breast Cancer Spread

Breast cancer commonly starts when cells start to grow uncontrollably, often due to mutations in the cells. Overtime the tumor becomes a patchwork of cells, called cancer clones, each with different mutations.... Read more

Industry

view channel
Image: With Cell IDx’s acquisition, Leica Biosystems will be moving its multiplexing menu forward (Photo courtesy of Leica Biosystems)

Leica Biosystems Acquires Cell IDx, Expanding Offerings in Multiplexed Tissue Profiling

Leica Biosystems, a technology leader in automated staining and brightfield and fluorescent imaging (Nussloch, Germany), has acquired Cell IDx, Inc. (San Diego, CA, USA), which provides multiplex staining... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.