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
Werfen

Download Mobile App




Metabolites Pattern Distinguishes Myasthenia Gravis from RA Patients

By LabMedica International staff writers
Posted on 09 Sep 2019
A team of Canadian researchers used a pattern of 12 metabolites to distinguish myasthenia gravis patients from healthy individuals or from those with rheumatoid arthritis.

Myasthenia gravis (MG) is an autoimmune disease caused by antibodies that block or destroy nicotinic acetylcholine receptors at the junction between the nerve and muscle. More...
This prevents nerve impulses from triggering muscle contractions. MG, which affects approximately one in 5,000 people, most often women under age 40 or men over 60, is a chronic neuromuscular disease that leads to varying degrees of skeletal muscle weakness. The most commonly affected muscles are those of the eyes, face, and swallowing. It can cause double vision, drooping eyelids, trouble talking, and trouble walking. Left untreated, MG symptoms may cause significant morbidity or even death.

To date, no robust biological marker is available to follow the course of the disease. Therefore, new diagnostic approaches and biological markers are essential not only for improved diagnosis of the disease except for improved outcomes.

In this regard, investigators at the University of Alberta Faculty of Medicine & Dentistry (Edmonton, Canada) performed metabolic analyses using acid- and dansyl-labelled serum from 46 seropositive MG patients, 23 rheumatoid arthritis (RA) patients, and 49 healthy controls.

Results revealed that after identifying more than 10,000 compounds in the serum samples, the investigators were able to point to a unique pattern of 12 metabolites exclusive to patients with myasthenia gravis.

"This is really important because now we have a way to easily separate a patient with myasthenia gravis from someone with rheumatoid arthritis or another autoimmune disease," said contributing author Dr. Zaeem Siddiqi, professor of neurology at the University of Alberta Faculty of Medicine & Dentistry. "What is more, now we are able to explore how those 12 metabolites change in mild, moderate, or severe cases so we can make this biomarker more robust and more effective for predicting the course of the disease and developing treatment plans. Now we have a unique fingerprint or map of metabolites that can easily separate healthy individuals from those with myasthenia gravis, and a path to the discovery of more accurate and specific treatments."

The myasthenia gravis paper was published in the August 1, 2019, online edition of the journal Metabolomics.

Related Links:
University of Alberta Faculty of Medicine & Dentistry


Gold Member
Antipsychotic TDM Assays
Saladax Antipsychotic Assays
POC Helicobacter Pylori Test Kit
Hepy Urease Test
8-Channel Pipette
SAPPHIRE 20–300 µL
New
Gold Member
Automatic CLIA Analyzer
Shine i9000
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: Residual leukemia cells may predict long-term survival in acute myeloid leukemia (Photo courtesy of Shutterstock)

MRD Tests Could Predict Survival in Leukemia Patients

Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read more

Immunology

view channel
Image: The simple blood marker can predict which lymphoma patients will benefit most from CAR T-cell therapy (Photo courtesy of Shutterstock)

Routine Blood Test Can Predict Who Benefits Most from CAR T-Cell Therapy

CAR T-cell therapy has transformed treatment for patients with relapsed or treatment-resistant non-Hodgkin lymphoma, but many patients eventually relapse despite an initial response. Clinicians currently... Read more

Pathology

view channel
Image: Determining EG spiked into medicinal syrups: Zoomed-in images of the pads on the strips are shown. The red boxes show where the blue color on the pad could be seen when visually observed (Arman, B.Y., Legge, I., Walsby-Tickle, J. et al. https://doi.org/10.1038/s41598-025-26670-1)

Rapid Low-Cost Tests Can Prevent Child Deaths from Contaminated Medicinal Syrups

Medicinal syrups contaminated with toxic chemicals have caused the deaths of hundreds of children worldwide, exposing a critical gap in how these products are tested before reaching patients.... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.