Fingerprint of multiple sclerosis immune cells identified

Fingerprint of multiple sclerosis immune cells identified
Granulocyte-macrophage colony-stimulating factor (GM-CSF). artoon representation of the molecular structure of protein registered with 1csg code. CC0 Public Domain

Researchers at the University of Zurich have identified a cell population that likely plays a key role in multiple sclerosis (MS). T helper cells in the blood of MS patients infiltrate the central nervous system, where they can cause inflammation and damage nerve cells. This discovery opens up new avenues for monitoring and treating MS patients.

In multiple sclerosis (MS), dysregulated periodically infiltrate the brain of afflicted patients, causing damages to neural transmission and neuronal loss. If not properly monitored and treated, the disease leads to accumulating disabilities that ultimately greatly restrict the daily life of patients. Around 2.5 million people, many of whom young adults, suffer from the chronic autoimmune disease.

"Fingerprint" of harmful immune cells identified

There is a long-standing interest in identifying the "fingerprint" of the immune cells that characterize MS. An international team led by Burkhard Becher at the Institute of Experimental Immunology of the University of Zurich has now achieved this.

"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," explains Becher.

Machine learning and high-dimensional cytometry

For their study the researchers used high-dimensional cytometry to characterize the immune cells. This technology makes it possible to analyze millions of cells in hundreds of patients and determine their immune properties—in other words, their "fingerprints."

To be able to analyze the enormous amount of data in the first place, the scientists developed an innovative machine-learning algorithm. "Artificial intelligence and helps us to greatly reduce the data's complexity, while the interpretation of results is left to the investigators," says Burkhard Becher.

Key properties of dysregulated immune cells

Using this the team of medical doctors, biologists and computational scientists was able to identify a population of immune cells in the peripheral blood of MS patients that differ from those in other inflammatory and non-inflammatory diseases. These dysregulated T helper cells produce a neuroinflammatory cytokine called GM-CSF and high levels of the chemokine receptor CXCR4 and the membrane protein VLA4.

"The cell population we identified therefore has two key properties that are characteristic of MS: The cytokine causes neuroinflammation, and thanks to the receptors the immune can get into the ," explains Edoardo Galli, first author of the study. In addition, the researchers found this characteristic signature to be highly represented in the cerebrospinal fluid and in the brain lesions of MS patients, suggesting a direct contribution to the disease. Furthermore, effective immunomodulatory therapy strongly reduces this .

Strong hints, but no proof yet

"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," says Burkhard Becher.

It is still premature to claim a disease-causing role for this population, according to the researchers. Further studies are needed to confirm this hypothesis. However, the detailed characterization of this could provide important hints for new MS-specific treatments to improve the patients' care.

Explore further

B cells among factors leading to brain lesions in multiple sclerosis

More information: Edoardo Galli et al. GM-CSF and CXCR4 define a T helper cell signature in multiple sclerosis, Nature Medicine (2019). DOI: 10.1038/s41591-019-0521-4
Journal information: Nature Medicine

Citation: Fingerprint of multiple sclerosis immune cells identified (2019, July 23) retrieved 18 May 2021 from
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