Fingerprint of Multiple Sclerosis Immune Cells Identified

Summary: T helper cells in the blood of patients with multiple sclerosis infiltrate the central nervous system, causing inflammation and neural damage.

Source: University of Zurich

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 immune cells 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 precisely 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 machine learning 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 interdisciplinary approach the team of medical doctors, biologists and computational scientists were 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.

This shows a woman walking with a walking stick

Young women are most often affected by the autoimmune disease MS. The image is adapted from the University of Zurich news release.

“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 cells can get into the central nervous system,” 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 cell population.

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 population could provide important hints for new MS-specific treatments to improve the patients’ care.

About this neuroscience research article

Source:
University of Zurich
Media Contacts:
Burkhard Becher – University of Zurich
Image Source:
The image is adapted from the University of Zurich news release.

Original Research: Closed access
“GM-CSF and CXCR4 Define a T Helper Cell Signature in Multiple Sclerosis”. Edoardo Galli, Felix J. Hartmann, Bettina Schreiner, Florian Ingelfinger, Eirini Arvaniti, Martin Diebold, Dunja Mrdjen, Franziska van der Meer, Carsten Krieg, Faiez Al Nimer, Nicholas Sanderson, Christine Stadelmann, Mohsen Khademi, Fredrik Piehl, Manfred Claassen, Tobias Derfuss, Tomas Olsson & Burkhard Becher.
Nature Medicine. doi:10.1038/s41591-019-0521-4

Abstract

GM-CSF and CXCR4 Define a T Helper Cell Signature in Multiple Sclerosis

Cytokine dysregulation is a central driver of chronic inflammatory diseases such as multiple sclerosis (MS). Here, we sought to determine the characteristic cellular and cytokine polarization profile in patients with relapsing–remitting multiple sclerosis (RRMS) by high-dimensional single-cell mass cytometry (CyTOF). Using a combination of neural network-based representation learning algorithms, we identified 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 includes 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, we confirmed that this cell population is increased in patients with MS compared with other inflammatory and non-inflammatory conditions. Lastly, we also found the population to be reduced under effective disease-modifying therapy, suggesting that the identified T cell profile represents a specific therapeutic target in MS.

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