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.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

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).
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

Gold Member
Quality Control Material
iPLEX Pro Exome QC Panel
POC Helicobacter Pylori Test Kit
Hepy Urease Test
Sperm Quality Analyis Kit
QwikCheck Beads Precision and Linearity Kit
Automatic Hematology Analyzer
DH-800 Series

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

Pathology

view channel
Image: The AI tool advances precision diagnostics by linking genetic mutations directly to disease types (Photo courtesy of Shutterstock)

AI Tool Simultaneously Identifies Genetic Mutations and Disease Type

Interpreting genetic test results remains a major challenge in modern medicine, particularly for rare and complex diseases. While existing tools can indicate whether a genetic mutation is harmful, they... Read more
GLOBE SCIENTIFIC, LLC