Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Routine Blood Tests Could Enable Early Detection of COPD

By LabMedica International staff writers
Posted on 06 Aug 2025

Chronic Obstructive Pulmonary Disease (COPD) remains severely underdiagnosed, with approximately 70% of cases going undetected. More...

This is largely due to the challenge of performing the current reference diagnostic test—spirometry—on a large scale. The difficulty of implementing spirometry across the population leads to delayed or missed diagnoses, often resulting in patients seeking care only when the disease has significantly progressed. Late diagnoses also raise the risk of associated conditions such as lung cancer. Now, researchers have identified specific metabolites in the blood of COPD patients that could serve as biomarkers to help detect the disease early and guide individuals toward confirmatory testing.

This discovery was the result of a multicenter study led by the Hospital del Mar Medical Research Institute (IMIM, Barcelona, Spain), CIBER Respiratory Diseases (CIBERES Madrid, Spain), and collaborators. The study analyzed blood samples from 91 patients with COPD and 91 healthy controls, identifying 360 different molecules through mass spectrometry. Out of these, approximately 50 were found to be most relevant, and artificial intelligence (AI) was used to select the ten most effective metabolites for detecting COPD. These metabolites are linked to energy production and lipid metabolism, potentially explaining both fatigue and cardiovascular comorbidities frequently observed in COPD patients. The altered metabolites were measured using standard blood tests, which researchers suggest could be easily adapted into a population-level screening tool.

The findings, published in the International Journal of Molecular Sciences, show that the selected biomarkers had a sensitivity and specificity of over 90% in distinguishing between COPD patients and healthy individuals. This focused set of markers offers a practical pathway to early detection using routine blood tests, which could initiate earlier treatment and closer monitoring of comorbidities. Researchers now plan to validate the efficacy of these biomarkers in a larger and more diverse population, with the goal of integrating the findings into routine clinical practice.

"This could give us a tool for early detection of individuals with COPD, which would allow treatment to begin in the early stages of the disease and enable closer monitoring of potential comorbidities," said IMIM researcher Dr. Joaquim Gea.

Related Links:
IMIM
CIBERES


New
Gold Member
Blood Gas Analyzer
Stat Profile pHOx
POC Helicobacter Pylori Test Kit
Hepy Urease Test
New
Blood Glucose Test Strip
AutoSense Test
New
Gold Member
Hematology Analyzer
Medonic M32B
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Hematology

view channel
Image: The microfluidic device for passive separation of platelet-rich plasma from whole blood (Photo courtesy of University of the Basque Country)

Portable and Disposable Device Obtains Platelet-Rich Plasma Without Complex Equipment

Platelet-rich plasma (PRP) plays a crucial role in regenerative medicine due to its ability to accelerate healing and repair tissue. However, obtaining PRP traditionally requires expensive centrifugation... Read more

Immunology

view channel
Image: An innovative deep learning model can accurately predict MSI tumor and immune checkpoint inhibitor responsiveness (Photo courtesy of Jae-Ho Cheong/Yonsei University College of Medicine)

AI Model Accurately Predicts MSI Tumor and Immune Checkpoint Inhibitor Responsiveness

One in three people is expected to develop cancer in their lifetime, and a key factor in patient prognosis is the tumor’s microsatellite status—whether it is stable or shows microsatellite instability-high (MSI-H).... Read more

Pathology

view channel
Image: Virtual staining of label-free tissue in imaging mass spectrometry (Photo courtesy of Ozcan Lab/UCLA)

Deep Learning Advances Imaging Mass Spectrometry with Virtual Histological Detail

Imaging mass spectrometry (IMS) is a powerful technique that can map thousands of molecular species in biological tissues with exceptional chemical specificity. However, IMS is hindered by relatively low... Read more

Industry

view channel
Image: Alzheimer’s Association has released its first clinical practice guideline for blood-based biomarker tests (Photo courtesy of Alzheimer’s Association)

New Clinical Guidelines Recommend Use of Blood Tests Instead of Brain Scans for Alzheimer’s Diagnosis

Alzheimer’s disease is a progressive neurodegenerative condition that remains challenging to diagnose early and accurately, particularly in individuals with cognitive impairment. Despite the availability... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.