Study: In Severe COVID-19 Cases, Neutrophils Work Around the Clock

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Credit: Cell Reports (2024). DOI: 10.1016/j.celrep.2024.114328

The course of SARS-CoV-2 coronavirus infections depends not only on how aggressive the virus is, but also on the immune response of the infected individual. Using single-cell analyses, a group of researchers led by Samantha Praktiknjo of the Berlin Institute of Health at Charité (BIH), Markus Landthaler of the Max Delbrück Center and Jakob Trimpert of Freie Universität Berlin have identified two distinct patterns that are typical for moderate and severe disease courses, respectively. The scientists were able to track over time what happens in molecular biology from the onset of infection to organ damage.

The key players at the cellular level are neutrophils (immune cells) and endothelial cells (blood vessel lining cells), as the group writes in Cell Reports.

Anyone seeking to positively influence SARS-CoV-2 progression needs information about the early phase of infection. Studies on patients who have already contracted COVID-19 occur too late in the disease process. Animal models, on the other hand, can be used to examine what happens from the time of infection.

"Using single-cell RNA analyses, we can collect data on gene expression in many individual cells and observe the molecular biological processes as the infection progresses," explains Dr. Samantha Praktiknjo, a researcher at the Berlin Institute of Health at Charité and one of the co-last authors of a newly published study involving scientists from the BIH, the Max Delbrück Center, Charité—Universitätsmedizin Berlin and Freie Universität Berlin.

"Our study shows just how powerful the combination of single-cell technologies and state-of-the-art bioinformatics analysis can be when it comes to investigating complex diseases and their complications, such as the severe lung inflammation caused by COVID-19," says Prof. Markus Landthaler, who leads a lab at the Max Delbrück Center and is also a co-last author of the study.

Single-cell sequencing of lung samples

The scientists systematically compared data obtained from human COVID-19 studies, including bronchoalveolar lavage and nasal swabs and post-mortem examinations of lung tissue, with the data obtained from the animal model before evaluating their relevance for humans. Hamsters have proven to be a suitable animal model for COVID-19, as they can be readily infected with the same SARS-CoV-2 variants as humans and show a similar disease pattern.

Using single-cell RNA sequencing, the researchers examined lung biopsies from healthy and infected animals at different time points after infection. They compared the dynamic cellular and molecular processes in two different hamster species: the golden or Syrian hamster, which shows a moderate course of COVID-19, and the Roborovski dwarf hamster, which normally experiences severe disease progression.

Single-cell RNA sequencing can be used to find out which sections of genetic information were activated in the cells at the time of sampling. "The technique of single-cell RNA sequencing enables us to gain an overview of what's happening in the different cells of tissue samples," says Praktiknjo.

Research in recent years has shown that the aggressive nature of the virus is not the only factor responsible for severe courses of COVID-19 infection. The inflammatory response of the host organism also plays a role. Inflammation is a vital defense mechanism that protects the body from pathogens and is completely normal. But when inflammation goes into overdrive and releases large quantities of pro-inflammatory signaling molecules, it can cause damage to various organs.

Severe disease course is set early on

What determines whether the disease will take a severe course in a patient had previously been unclear, as had the question of when exactly this course is set. The Berlin-based researchers sought to find answers to these questions with the help of in-depth single-cell RNA-sequencing analysis. This included leveraging novel machine learning methods to characterize cell activity from the moment of infection, enabling the scientists to identify two distinct patterns of gene activation in the animal model.

In both moderate and severe cases of COVID-19, neutrophil granulocytes (or neutrophils), which belong to the first line of defense of the innate immune response, are activated shortly after infection. In moderate cases, the neutrophils are activated for a brief period of time, but then other immune cells like natural killer cells (type 1 immune response) take over. In severe cases, however, the neutrophils remain permanently activated (type 3 immune response), leading to a "storm" of pro-inflammatory signals and massive inflammatory responses in the lungs.

A hallmark of severe COVID-19 progression is damage to the endothelium (the lining of the blood vessels) across multiple organs. In both hamster species, the researchers found strong activation of the vascular endothelium of the lungs, which induced neutrophils to release pro-inflammatory signals. In the Roborovski hamster, this resulted in severe endothelial damage, but in the golden hamster the endothelial cells reverted to the ground state without incurring significant damage.

"Our methodology has allowed us to document, for the first time, the crucial role that endothelial cells play in the development of a severe disease course," says Dr. Stefan Peidli, one of the first authors of the study.

"Our studies confirm and expand the findings on the role of excessive immune and inflammatory responses in COVID-19," adds Praktiknjo. "We will continue our research in this direction and hope to identify targets for innovative therapies that can be used to steer the infection process along the right path early on."

More information: Stefan Peidli et al, Single-cell-resolved interspecies comparison shows a shared inflammatory axis and a dominant neutrophil-endothelial program in severe COVID-19, Cell Reports (2024). DOI: 10.1016/j.celrep.2024.114328

Citation: Study: In severe COVID-19 cases, neutrophils work around the clock (2024, June 17) retrieved 17 June 2024 from

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