‘Mini-lungs’ reveal early stages of SARS-CoV-2 infection

Authored by cam.ac.uk and submitted by mvea
image for ‘Mini-lungs’ reveal early stages of SARS-CoV-2 infection

To date, there have been more than 40 million cases of COVID-19 and almost 1.13 million deaths worldwide. The main target tissues of SARS-CoV-2, the virus that causes COVID-19, especially in patients that develop pneumonia, appear to be alveoli – tiny air sacs in the lungs that take up the oxygen we breathe and exchange it with carbon dioxide to exhale.

To better understand how SARS-CoV-2 infects the lungs and causes disease, a team of scientists from the UK and South Korea turned to organoids – ‘mini-organs’ grown in three dimensions to mimic the behaviour of tissue and organs.

The team used tissue donated to tissue banks at the Royal Papworth Hospital NHS Foundation Trust and Addenbrooke’s Hospital, Cambridge University NHS Foundations Trust, UK, and Seoul National University Hospital to extract a type of lung cell known as human lung alveolar type 2 cells. By reprogramming these cells back to their earlier ‘stem cell’ stage, they were able to grow self-organising alveolar-like 3D structures that mimic the behaviour of key lung tissue.

Dr Joo-Hyeon Lee, co-senior author, and a Group Leader at the Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, said: “We still know surprisingly little about how SARS-CoV-2 infects the lungs and causes disease. Our approach has allowed us to grow 3D models of key lung tissue – in a sense, ‘mini-lungs’ – in the lab and study what happens when they become infected.”

The team infected the organoids with a strain of SARS-CoV-2 taken from a patient in South Korea who was diagnosed with COVID-19 on 26 January 26 2020 after traveling to Wuhan, China. Using a combination of fluorescence imaging and single cell genetic analysis, they were able to study how the cells responded to the virus.

When the 3D models were exposed to SARS-CoV-2, the virus began to replicate rapidly, reaching full cellular infection just six hours after infection. Replication enables the virus to spread throughout the body, infecting other cells and tissue.

Around the same time, the cells began to produce interferons – proteins that act as warning signals to neighbouring cells, telling them to activate their antiviral defences. After 48 hours, the interferons triggered the innate immune response – its first line of defence – and the cells started fighting back against infection.

Sixty hours after infection, a subset of alveolar cells began to disintegrate, leading to cell death and damage to the lung tissue.

Although the researchers observed changes to the lung cells within three days of infection, clinical symptoms of COVID-19 rarely occur so quickly and can sometimes take more than ten days after exposure to appear. The team say there are several possible reasons for this. It may take several days from the virus first infiltrating the upper respiratory tract to it reaching the alveoli. It may also require a substantial proportion of alveolar cells to be infected or for further interactions with immune cells resulting in inflammation before a patient displays symptoms.

“Based on our model we can tackle many unanswered key questions, such as understanding genetic susceptibility to SARS-CoV-2, assessing relative infectivity of viral mutants, and revealing the damage processes of the virus in human alveolar cells,” said Dr Young Seok Ju, co-senior author, and an Associate Professor at Korea Advanced Institute of Science and Technology. “Most importantly, it provides the opportunity to develop and screen potential therapeutic agents against SARS-CoV-2 infection.”

“We hope to use our technique to grow these 3D models from cells of patients who are particularly vulnerable to infection, such as the elderly or people with diseased lungs, and find out what happens to their tissue,” added Dr Lee.

The research was a collaboration involving scientists from the University of Cambridge, UK, and the Korea Advanced Institute Science and Technology (KAIST), Korea National Institute of Health, Institute for Basic Science (IBS), Seoul National University Hospital and GENOME INSIGHT Inc. in South Korea.

Jeonghwan Youk et al. Three-dimensional human alveolar stem cell culture models reveal infection response to SARS-CoV-2. Cell Stem Cell; 21 Oct 2020; DOI: 10.1016/j.stem.2020.10.004

The research was supported by: the National Research Foundation of Korea; Research of Korea Centers for Disease Control and Prevention; Ministry of Science and ICT of Korea; Ministry of Health & Welfare, Republic of Korea; Seoul National University College of Medicine Research Foundation; European Research Council; Wellcome; the Royal Society; Biotechnology and Biological Sciences Research; Suh Kyungbae Foundation; and the Human Frontier Science Program.

Representative image of three-dimensional human lung alveolar organoid showing alveolar stem cell marker, HTII-280 (red) and SARS-CoV-2 entry protein, ACE2 (green). (Credit: Jeonghwan Youk, Taewoo Kim, and Seon Pyo Hong)

thosewhocannetworkd on October 25th, 2020 at 14:33 UTC »

Can someone explain what is the meaning behind the statement that “full cellular infection occurred within 6 hours?” Does that mean 6 hours after SARS-CoV-2 was introduced, every cell in the model was infected?

MDPROBIFE on October 25th, 2020 at 12:43 UTC »

Nice to hear.. In my country if you show no symptoms after 10 days you are free and encouraged to go to work without having to test negative

hyperproliferative on October 25th, 2020 at 11:56 UTC »

Organoid models like this are reshaping every facet of medicine.

Really exciting times: mRNA vaccine tech, SARS-CoV-2 neutralizing antibodies, all designed and manufactured in less than 3 months, and clinically researched and mass produced in less than a year.

It’s just amazing to me how routine and facile it has become to leverage immunotherapy like this. Now we just need Samsung to really ramp up their bioreactor production capacity (they build factories to mass produce therapeutic antibodies), which is the last bottleneck.

Edit: grammar