Study reveals new clues about SARS-CoV-2 infection

NewsGuard 100/100 Score

Working together, researchers at McMaster University and the University of Waterloo are searching for how the SARS-CoV-2 virus infects the lungs - and they're challenging what has become an accepted truth about the virus.

Previously, scientists have determined that entry of SARS-CoV-2 into cells occurs through a receptor on the cell surface, known as ACE2. But the McMaster-Waterloo team has found that the ACE2 receptor is at very low levels in human lung tissue.

Our finding is somewhat controversial, as it suggests that there must be other ways, other receptors for the virus, that regulate its infection of the lungs. We were surprised that the fundamental characterization of the candidate receptors in human lung tissue had not yet been done in a systematic way with modern technologies."

Jeremy Hirota, Assistant Professor, Medicine, McMaster University

Hirota is also a co-lead scientist, research institute, joe's hamilton

"Finding such low levels of ACE2 in lung tissue has important implications for how we think about this virus." said co-lead Andrew Doxey, Professor of Biology at the University of Waterloo. "ACE2 is not the full story and may be more relevant in other tissues such as the vascular system."

A paper on their findings has been published recently in the European Respiratory Journal. Their findings have been confirmed independently by other researchers in Molecular Systems Biology.

Now, to explore alternate additional infection pathways and different patient responses to infection, the team is using nasal swabs that were collected for clinical diagnoses of COVID-19. These samples offer the opportunity to determine which genes are expressed by patients' cells and associate this information with the development of the patients' disease.

The ongoing study will better identify and treat patients who are at risk of developing serious complications and provide predictive capacity for hospitals.

"It is clear that some individuals respond better than others to the same SARS-CoV-2 virus. The differential response to the same virus suggests that each individual patient, with their unique characteristics, heavily influences COVID-19 disease severity," said Hirota, who holds the Canada

Research Chair in Respiratory Mucosal Immunology at McMaster.
"We think it is the lung immune system that differs between COVID-19 patients, and by understanding which patients' lung immune systems are helpful and which are harmful, we may be able to help physicians pro-actively manage the most at risk-patients."

Researchers will correlate positive and negative COVID-19 cases with clinical outcomes, and ultimately use this data to generate predictive algorithms related to morbidity and mortality. The aim is to use this predictive information to optimize health care delivery.

The research has received grants from the Ontario COVID-19 Rapid Research Fund of the Ontario government, from the COVID-19 Innovation Challenge of Roche Canada and from FastGrants.org managed by the Thistledown Foundation in Canada.

"We're looking for additional partners to collaborate with us in moving this research forward, as we believe there is an opportunity to develop diagnostic devices with this information," said Hirota.

Source:
Journal reference:

Aguiar, J. A., et al. (2020) Gene expression and in situ protein profiling of candidate SARS-CoV-2 receptors in human airway epithelial cells and lung tissue. European Respiratory Journal. doi.org/10.1183/13993003.01123-2020.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Molnupiravir influences SARS-CoV-2 evolution in immunocompromised patients