White Blood Cell Population May Serve as MS Biomarker
|
By LabMedica International staff writers Posted on 29 Jul 2019 |

Image: A CyTOF mass cytometer (Photo courtesy of Wikimedia Commons).
A discrete population of white blood cells was found to be present in samples taken from patients with multiple sclerosis (MS) and this group of cells may serve both diagnostic and therapeutic roles.
MS is among the class of chronic inflammatory diseases that is modulated by cytokine dysregulation. To better understand the link between cytokines and MS, investigators at the University of Zurich (Switzerland) sought to determine the characteristic cellular and cytokine polarization profile in patients with relapsing–remitting multiple sclerosis (RRMS) by using advanced high-dimensional single-cell mass cytometry (CyTOF).
CyTOF is a mass spectrometry technique based on inductively coupled plasma mass spectrometry and time of flight mass spectrometry used for the determination of the properties of cells (cytometry). In this approach, antibodies are conjugated with isotopically pure elements, and these antibodies are used to label cellular proteins. Cells are nebulized and sent in the form of a mist through an argon plasma, which ionizes the metal-conjugated antibodies. The metal signals are then analyzed by a time-of-flight mass spectrometer. The approach overcomes limitations of spectral overlap in flow cytometry by utilizing discrete isotopes as a reporter system instead of traditional fluorophores, which have broad emission spectra.
The use of CyTOF technology allowed the investigators to identify an expanded T helper cell subset in patients with MS, characterized by the expression of granulocyte–macrophage colony-stimulating factor and the C-X-C chemokine receptor type 4. This cellular signature, which included expression of very late antigen 4 in peripheral blood, was also enriched in the central nervous system of patients with relapsing–remitting multiple sclerosis. In independent validation cohorts, the investigators confirmed that this cell population was increased in patients with MS compared with other inflammatory and non-inflammatory conditions.
"We identified a specific population of white blood cells augmented in the peripheral blood of MS patients that have two properties characteristic of MS: They can move from the blood to the central nervous system and there they can cause inflammation of the nerve cells," said senior author Dr. Burkhard Becher, professor of experimental immunology at the University of Zurich. "Our data clearly indicate a stringent association of this signature to MS, and we believe that the identification of such an easily accessible biomarker brings important value for MS monitoring."
The report was published in the July 22, 2019, online edition of the journal Nature Medicine.
Related Links:
University of Zurich
MS is among the class of chronic inflammatory diseases that is modulated by cytokine dysregulation. To better understand the link between cytokines and MS, investigators at the University of Zurich (Switzerland) sought to determine the characteristic cellular and cytokine polarization profile in patients with relapsing–remitting multiple sclerosis (RRMS) by using advanced high-dimensional single-cell mass cytometry (CyTOF).
CyTOF is a mass spectrometry technique based on inductively coupled plasma mass spectrometry and time of flight mass spectrometry used for the determination of the properties of cells (cytometry). In this approach, antibodies are conjugated with isotopically pure elements, and these antibodies are used to label cellular proteins. Cells are nebulized and sent in the form of a mist through an argon plasma, which ionizes the metal-conjugated antibodies. The metal signals are then analyzed by a time-of-flight mass spectrometer. The approach overcomes limitations of spectral overlap in flow cytometry by utilizing discrete isotopes as a reporter system instead of traditional fluorophores, which have broad emission spectra.
The use of CyTOF technology allowed the investigators to identify an expanded T helper cell subset in patients with MS, characterized by the expression of granulocyte–macrophage colony-stimulating factor and the C-X-C chemokine receptor type 4. This cellular signature, which included expression of very late antigen 4 in peripheral blood, was also enriched in the central nervous system of patients with relapsing–remitting multiple sclerosis. In independent validation cohorts, the investigators confirmed that this cell population was increased in patients with MS compared with other inflammatory and non-inflammatory conditions.
"We identified a specific population of white blood cells augmented in the peripheral blood of MS patients that have two properties characteristic of MS: They can move from the blood to the central nervous system and there they can cause inflammation of the nerve cells," said senior author Dr. Burkhard Becher, professor of experimental immunology at the University of Zurich. "Our data clearly indicate a stringent association of this signature to MS, and we believe that the identification of such an easily accessible biomarker brings important value for MS monitoring."
The report was published in the July 22, 2019, online edition of the journal Nature Medicine.
Related Links:
University of Zurich
Latest Molecular Diagnostics News
- Single-Tube CRISPR Test Detects Pathogens and Genetic Variants in 30 Minutes
- New Blood RNA Markers Help Advance Precision Medicine for Respiratory Patients
- New Automation Platform Standardizes DNA and RNA Extraction Across Clinical Workflows
- Single Genetic Analysis Identifies Causes of Premature Ovarian Insufficiency
- New Liquid Biopsy Approach Shows Promise for Detecting Breast Cancer Recurrence
- Whole-Blood RNA Test Could Improve Breast Cancer Screening in Dense Breasts
- Self-Collected HPV Testing Reaches Patients Missed by Routine Screening
- Genetic Risk Score Identifies Type 1 Diabetes in MODY Testing
- Comprehensive Genomic Testing Expands Treatment Options for Advanced Cancers
- Multi-Omics Analysis Identifies Additional Risk Genes in Hereditary Breast and Ovarian Cancer
- Blood Test for Lung Cancer Screening Receives FDA Breakthrough Device Designation
- Machine Learning Approach Expands Epigenetic Testing for Prenatal Genetic Disorders
- New Liquid Biopsy Workflow Maximizes Tumor Signals from Limited Blood Samples
- Sequencing-Based Newborn Screening Identifies Pediatric Cancer Risk at Birth
- Liquid Biopsy Combines Multiple Signals for Cancer Detection in a Single Analysis
- Newborn Screening Program Adds Spinal Muscular Atrophy Testing Across England
Channels
Clinical Chemistry
view channel
NIH-Funded Study Targets Saliva-Based Long COVID Diagnosis
Long COVID presents with heterogeneous, persistent symptoms that complicate clinical assessment and case definition. A lack of a definitive diagnostic test forces clinicians to exclude alternative etiologies... Read more
Validated Biomarker Blood Test Detects Early Lung Cancer and Supports Risk Assessment
Lung cancer is often diagnosed at advanced stages because symptoms typically appear late, while participation in low-dose computed tomography (LDCT) screening remains low. Imaging can also produce false-positive... Read more
Machine Learning Model Uses Routine Lab Tests to Support Heart Failure Classification
Accurately distinguishing heart failure phenotypes is important for guiding imaging and treatment decisions in hospital care, but phenotyping usually depends on echocardiography, which may not be immediately... Read moreHematology
view channel
New Genetic Findings Reveal Cause of Bone Marrow Failure Syndrome
Inherited bone marrow failure syndromes (IBMFS) impair the bone marrow’s ability to produce sufficient healthy blood cells and are associated with an increased risk of early-onset myelodysplastic syndromes (MDS).... Read more
Ultra-Portable Device Enables Finger-Prick Blood Testing at Home
Patients who need frequent blood tests often face repeated clinic visits that burden services and disrupt care. In the UK, millions of tests are performed each year to diagnose disease, guide therapy,... Read moreImmunology
view channel
New Cellular Map May Help Predict Crohn’s Disease Course in Children
Crohn’s disease in children is a common and debilitating form of inflammatory bowel disease, marked by chronic intestinal inflammation and limited pediatric-specific treatments. Clinicians must decide... Read more
Temporal Immune Profiling Reveals How Sepsis States Change Over Time
Sepsis is a life-threatening condition in which the immune response to infection becomes dysregulated, leading to rapid organ failure and death. Although antimicrobials and organ support remain standard... Read more
Study Identifies Immune Cells That Drive Harmful Autoantibody Responses in COVID-19
Autoantibodies that mistakenly attack the body’s own tissues have been linked to severe COVID-19, Long COVID, and increased risk of autoimmune disease. However, the origins of these autoantibodies during... Read moreMicrobiology
view channel
Gut Microbiome Classifier Improves Colorectal Cancer Risk Stratification
Colorectal cancer remains a leading cause of cancer mortality, and current noninvasive screening methods still miss many precancerous lesions. Clinicians therefore need tools that improve risk stratification... Read more
New Diagnostic Workflow Identifies Bloodstream Pathogens and Antibiotic Response in Hours
Sepsis is a life-threatening complication of infection that affects more than 1.5 million patients annually in the United States and contributes to roughly one in three in-hospital deaths.... Read morePathology
view channel
New Journal Addresses Evolving Needs in Clinical and Translational Pathology
Clinical pathology underpins diagnosis and therapy selection across oncology and other major diseases, but the field is rapidly evolving as new technologies reshape how disease is studied and classified.... Read more
AI Matches Pathologists in Predicting Breast Cancer Prognosis from Immune Cells
Breast cancer is the most common cancer in Australian women, with more than 20,000 cases each year. Prognosis can be informed by counting tumor-infiltrating lymphocytes (TILs) on routine pathology slides,... Read more
AI-Pathologist Framework Improves Accuracy and Reliability in Cancer Diagnosis
Ensuring reliable cancer diagnosis from digital pathology remains a critical challenge as clinical decisions rely on accurate slide interpretation. While artificial intelligence (AI) has accelerated whole-slide... Read moreTechnology
view channel
Bacterial Vesicle Expression System Streamlines Production of Cancer Diagnostic Proteins
Recombinant proteins are central to many cancer diagnostics and therapies, but numerous targets remain difficult and costly to produce because they are unstable, toxic to microbial hosts, or require precise folding.... Read more
Autonomous Robotic System Receives FDA Authorization for Blood Collection
Venipuncture is central to many diagnostic pathways, but routine blood collection can be affected by staffing constraints and procedural variability that influence consistency and patient experience.... Read moreIndustry
view channel
New NHS Partnership Expands Access to Epigenetic CNS Tumor Classifiers
Rapid and accurate classification of central nervous system tumors remains a challenge, particularly in children where histology alone can misclassify aggressiveness and drive overtreatment.... Read more







