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
RANDOX LABORATORIES

Download Mobile App




Unique Autoantibody Signature to Help Diagnose Multiple Sclerosis Years before Symptom Onset

By LabMedica International staff writers
Posted on 23 Apr 2024
Print article
Image: Signs of multiple sclerosis show up in blood years before symptoms appear (Photo courtesy of vitstudio/Shutterstock)
Image: Signs of multiple sclerosis show up in blood years before symptoms appear (Photo courtesy of vitstudio/Shutterstock)

Autoimmune diseases such as multiple sclerosis (MS) are thought to occur partly due to unusual immune responses to common infections. Early MS symptoms, including dizziness, spasms, and fatigue, often resemble other conditions, complicating diagnosis, which heavily relies on detailed brain MRI evaluations. MS can severely impair motor control, but advancements in treatment can slow down its progression and help maintain functions such as walking. Notably, around 10% of MS patients begin producing a distinctive set of antibodies against their own proteins years before symptoms appear. These autoantibodies have been found to bind to both human cells and common pathogens, possibly explaining why immune attacks on the brain and spinal cord occur in MS. Now, researchers have identified a unique autoantibody signature in about 10% of MS patients that appears years before the onset of clinical symptoms, raising hopes for early detection via a simple blood test and earlier treatment initiation.

Utilizing the U.S. Department of Defense Serum Repository, which includes data from over ten million individuals, a team from the University of California, San Francisco (UCSF, San Francisco, CA, USA) and the University of North Carolina at Charlotte (Charlotte, NC, USA) performed whole-proteome autoantibody profiling on samples from hundreds of MS patients both before and after they experienced symptoms. They identified a specific group of patients who exhibited a recognizable pattern of autoantibodies long before any clinical symptoms of MS appeared, accompanied by increased levels of serum neurofilament light (sNfL), which indicates early neuroaxonal damage.

This autoantibody signature was also validated using samples from another MS cohort, confirming its strong specificity for patients diagnosed with MS. This breakthrough could lead to the development of antigen-specific biomarkers for high-risk individuals with clinically or radiologically isolated neuroinflammatory syndromes. While many questions about MS remain—from the triggers of the immune response in certain patients to the disease's progression in the majority who do not exhibit these autoantibodies—researchers are optimistic that they have found a vital early indicator of its development.

"This study sheds light on the preclinical phase of MS and provides a promising avenue for early detection and intervention. Identifying patients at high risk of developing MS before symptom onset could revolutionize patient care and treatment strategies," said Danillo Augusto, Ph.D., an assistant professor in biology at the University of North Carolina at Charlotte.

“Over the last few decades, there's been a move in the field to treat MS earlier and more aggressively with newer, more potent therapies,” said UCSF neurologist Michael Wilson, MD. “A diagnostic result like this makes such early intervention more likely, giving patients hope for a better life.”

Related Links:
UCSF
UNC Charlotte  

New
Platinum Member
Flu SARS-CoV-2 Combo Test
OSOM® Flu SARS-CoV-2 Combo Test
Magnetic Bead Separation Modules
MAG and HEATMAG
POCT Fluorescent Immunoassay Analyzer
FIA Go
Gold Member
Liquid Ready-To-Use Lp(a) Reagent
Lipoprotein (a) Reagent

Print article
77 ELEKTRONIKA

Channels

Clinical Chemistry

view channel
Image: PhD student and first author Tarek Eissa has analyzed thousands of molecular fingerprints (Photo courtesy of Thorsten Naeser / MPQ / Attoworld)

Screening Tool Detects Multiple Health Conditions from Single Blood Drop

Infrared spectroscopy, a method using infrared light to study the molecular composition of substances, has been a foundational tool in chemistry for decades, functioning similarly to a molecular fingerprinting... Read more

Hematology

view channel
Image: The Truvian diagnostic platform combines clinical chemistry, immunoassay and hematology testing in a single run (Photo courtesy of Truvian Health)

Automated Benchtop System to Bring Blood Testing To Anyone, Anywhere

Almost all medical decisions are dependent upon laboratory test results, which are essential for disease prevention and the management of chronic illnesses. However, routine blood testing remains limited worldwide.... Read more

Immunology

view channel
Image: The blood test measures lymphocytes  to guide the use of multiple myeloma immunotherapy (Photo courtesy of 123RF)

Simple Blood Test Identifies Multiple Myeloma Patients Likely to Benefit from CAR-T Immunotherapy

Multiple myeloma, a type of blood cancer originating from plasma cells in the bone marrow, sees almost all patients experiencing a relapse at some stage. This means that the cancer returns even after initially... Read more

Microbiology

view channel
Image: Ultra-Rapid Antimicrobial Susceptibility Testing (uRAST) revolutionizing traditional antibiotic susceptibility testing (Photo courtesy of Seoul National University)

Ultra-Rapid Culture-Free Sepsis Test Reduces Testing Time from Days to Hours

Sepsis, a critical emergency condition, results from an overactive inflammatory response to pathogens like bacteria or fungi in the blood, leading to organ damage and the possibility of sudden death.... Read more

Pathology

view channel
Image: The AI model can distinguish different stages of DCIS from inexpensive and readily available breast tissue images (Photo courtesy of David A. Litman/Shutterstock)

AI Model Identifies Breast Tumor Stages Likely To Progress to Invasive Cancer

Ductal carcinoma in situ (DCIS) is a non-invasive type of tumor that can sometimes progress to a more lethal form of breast cancer and represents about 25% of all breast cancer cases. Between 30% and 50%... Read more

Industry

view channel
Image: Beckman Coulter will utilize the ALZpath pTau217 antibody to detect key biomarker for Alzheimer\'s disease on its DxI 9000 immunoassay analyzer (Photo courtesy of Beckman Coulter)

Beckman Coulter Licenses Alzpath's Proprietary P-tau 217 Antibody to Develop Alzheimer's Blood Test

Cognitive assessments have traditionally been the primary method for diagnosing Alzheimer’s disease, but this approach has its limitations as symptoms become apparent only after significant brain changes... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.