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 hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Fluidigm

Fluidigm Corporation focuses on the most pressing needs in translational and clinical research, including cancer, imm... read more Featured Products: More products

Download Mobile App




Biomarkers Associated with Major Bleeding in Patients with Atrial Fibrillation

By LabMedica International staff writers
Posted on 16 Nov 2021
Print article
Image: The BioMark HD real-time Polymerase Chain reaction (PCR) platform (Photo courtesy of Fluidigm)
Image: The BioMark HD real-time Polymerase Chain reaction (PCR) platform (Photo courtesy of Fluidigm)
Atrial fibrillation (AF) is associated with a five-fold increased risk of thromboembolisms, mainly stroke, independently of other risk factors. Accurate assessment to balance the risk of stroke and systemic embolic events (S/SEE), against the risk of major bleeding is therefore an important therapeutic goal in the clinical management of these patients.

Age, prior hemorrhage, severe renal disease, and anemia (hemoglobin) have been independently associated with an increased risk of major bleeding in patients with AF. The use of different combinations of these mainly clinical variables has resulted in at least five validated risk scores for better prediction of bleeding events in patients with AF.

Medical Scientists at Uppsala University (Uppsala, Sweden) explored associations between a wide range of biomarkers and bleeding risk in patients with AF on oral anticoagulants (OAC). Biomarkers were analyzed in a random sample of 4,200 patients, 204 cases with major bleedings. The replication cohort included 344 cases with major bleeding and 1,024 random controls.

The plasma concentrations of high-sensitivity cTnT-hs, NT-proBNP, and GDF-15 were determined by Roche immunoassays using a Cobas Analytics e601 (Roche Diagnostics, Rotkreuz, Switzerland). Interleukin 6 (IL-6) was analyzed using the high-sensitivity sandwich ELISA immunoassay (R&D Systems Inc, Minneapolis, MN, USA) and Cystatin C with the ARCHITECT system ci8200 (Abbott Laboratories, Abbott Park, IL, USA) using the particle-enhanced turbidimetric immunoassay (PETIA) from Gentian Diagnostics ASA (Moss, Norway).

The proteomic analyses were performed with the high-throughput Proximity Extension Assay (PEA) technique using the Target 96 Multiplex CVD II, CVD III, and Inflammation panels (Olink Proteomics, Uppsala, Sweden), which together simultaneously measured 276 selected proteins in plasma potentially related to CVD and inflammation. The PEA technology uses pairs of antibodies equipped with DNA reporter molecules When binding to their correct targets, antibody pairs give rise to new DNA amplicons each ID-barcoding their respective antigens. The amplicons are subsequently quantified using the Fluidigm BioMark HD real-time PCR platform (Fluidigm, South San Francisco, CA, USA).

The investigators reported that out of 268 proteins, nine biomarkers were independently associated with bleeding in both cohorts. In the replication cohort a significant linear hazard ratios per interquartile range were confirmed for these biomarkers: cytokine GDF-15, cTnT-hs, osteopontin (OPN), ephrin type-B receptor 4 (EphB4), TNF-R1, TNF-R2, soluble urokinase plasminogen activator receptor (suPAR), TRAIL-R2, and osteoprotegerin (OPG).

The authors concluded that in patients with AF on OAC, GDF-15, cTnT-hs, and seven novel biomarkers were independently associated with major bleedings and reflect pathophysiologic processes of inflammation, apoptosis, oxidative stress, vascular calcification, coagulation, and fibrinolysis. Investigations of the utility of these markers to refine risk stratification and guide the management of patients at high risk of bleeding are warranted. The study was published on the November 2021 issue of the Journal of Thrombosis and Haemostasis.

Related Links:
Uppsala University
Roche Diagnostics
R&D Systems
Abbott Laboratories
Gentian Diagnostics
Olink Proteomics
Fluidigm


New
Gold Member
Serological Pipet Controller
PIPETBOY GENIUS
Antipsychotic TDM AssaysSaladax Antipsychotic Assays
New
Chlamydia Test Kit
CHLAMYTOP
New
Urine Collection Container
Urine Monovette

Print article

Channels

Hematology

view channel
Image: The smartphone technology measures blood hemoglobin levels from a digital photo of the inner eyelid (Photo courtesy of Purdue University)

First-Of-Its-Kind Smartphone Technology Noninvasively Measures Blood Hemoglobin Levels at POC

Blood hemoglobin tests are among the most frequently conducted blood tests, as hemoglobin levels can provide vital insights into various health conditions. However, traditional tests are often underutilized... Read more

Immunology

view channel
Image: Under a microscope, DNA repair is visible as bright green spots (“foci”) in the blue-stained cell DNA. Orange highlights actively growing cancer cells (Photo courtesy of WEHI)

Simple Blood Test Could Detect Drug Resistance in Ovarian Cancer Patients

Every year, hundreds of thousands of women across the world are diagnosed with ovarian and breast cancer. PARP inhibitors (PARPi) therapy has been a major advancement in treating these cancers, particularly... Read more

Microbiology

view channel
Image: HNL Dimer can be a novel and potentially useful clinical tool in antibiotic stewardship in sepsis (Photo courtesy of Shutterstock)

Unique Blood Biomarker Shown to Effectively Monitor Sepsis Treatment

Sepsis remains a growing problem across the world, linked to high rates of mortality and morbidity. Timely and accurate diagnosis, along with effective supportive therapy, is essential in reducing sepsis-related... Read more

Pathology

view channel
Image: The AI program analyzes a microscopy image from a tumor biopsy and determines what genes are likely turned on and off in the cells it contains (Photo courtesy of Olivier Gevaert/Stanford Medicine)

AI Tool ‘Sees’ Cancer Gene Signatures in Biopsy Images

To assess the type and severity of cancer, pathologists typically examine thin slices of a tumor biopsy under a microscope. However, to understand the genomic alterations driving the tumor's growth, scientists... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.