‘This is significant’: New study discovers why some people get long Covid – breakthrough

Long Covid victim discusses daily impact of virus

We use your sign-up to provide content in ways you’ve consented to and to improve our understanding of you. This may include adverts from us and 3rd parties based on our understanding. You can unsubscribe at any time. More info

Long Covid is a somewhat opaque term because it’s hard to assess the scale of the problem. It has generally come to describe the symptoms of Covid that stretch on for months if not years after the initial infection has disappeared. The phenomenon has stumped researchers but a new discovery marks a major breakthrough.

Researchers from the University of Sheffield and Stanford University in the US have discovered there are specific genetic signals in people who develop long Covid.

A range of risk factors have previously been identified, such as body mass index and underlying health problems, but it hasn’t revealed the full picture: seemingly healthy individuals have also been struck down by long Covid.

This pioneering research, published in the journal Cell Systems, aimed to seek an alternative explanation for why some people with COVID-19 become seriously ill or die, whilst others have few, if any, symptoms.

Using machine learning, researchers from the University of Sheffield and Stanford Medicine have identified more than 1,000 genes linked to the development of severe COVID-19 cases that required breathing support, or were fatal.

The team was also able to identify specific types of cells in which those genes act up.

It’s one of the first studies to link coronavirus-associated genes to specific biological functions.

Doctor Johnathan Cooper-Knock, NIHR Clinical Lecturer in the Department of Neuroscience at the University of Sheffield and co-author of the study, said: “During the research we discovered the genetic architecture underlying coronavirus infection, and found that these 1,000 genes account for three quarters of the genetic drivers for severe COVID-19. This is significant in understanding why some people have had more severe symptoms of Covid-19 than others.”

The research team used several large data sets to unpack the genetics behind severe COVID-19.

DON’T MISS
High cholesterol: The alcoholic drink shown to lower levels [TIPS]
Cancer: Two warning signs that show up on the face [ADVICE]
Liam Neeson: Star’s ‘agonising’ pain spurred by caffeine [INSIGHT]

The first data set contained genetic information from healthy human lung tissue. The data helped identify gene expression in 19 different types of lung cells, including epithelial cells that line the respiratory tract and are the first defence against infection.

Other data came from the COVID-19 Host Genetics Initiative, one of the largest genetic studies of critically ill coronavirus patients.

The researchers looked for genetic clues in the data – DNA mutations, called single nucleotide polymorphisms – that might indicate if someone is at a higher risk for severe COVID-19.

They tracked whether some mutations occurred more or less often in COVID-19 patients with severe disease.

Mutations that continued to appear, or were notably absent, in the patients who developed severe COVID-19 suggested those variations might be behind the infection’s severity.

But genetic mutations on their own can be difficult to interpret. To better understand their findings the team used other data describing which regions of the genome are important for different cell types within lung tissue.

By overlapping the mutations onto the cell-specific genomes the researchers could pinpoint which genes were dysfunctioning and within which cell-types.

The researchers also wanted to know which types of cells harboured faulty gene expression. Through their machine learning tool, they determined that severe COVID-19 is largely associated with a weakened response from two well-known immune cells – natural killer (NK) cells and T cells. NK cells and a subtype called ‘CD56 bright’ are considered the most important.

Doctor Cooper-Knock added: “NK cells, which humans are born with and are the body’s first line of defence against infection, are known for their ability to destroy viruses and cancer cells. NK cells also help produce a range of immune system proteins called cytokines. One cytokine, interferon gamma, is a key activator of immune cells. Acting in concert with interferon gamma, NK cells mount an immediate and coordinated defence against viral infections.

“NK cells are like the generals directing the war. They mobilize other immune cells, telling them where to go and what to do. We found that in people with severe coronavirus infection, critical genes in NK cells are expressed less, so there’s a less robust immune response. The cell isn’t doing what it’s supposed to do.”

Senior Author Professor Michael P Snyder from the University of Stanford likened COVID-19 risk genes to harmful variants of the BRCA genes that predispose some people to breast and ovarian cancer.

Professor Snyder said: “Our findings lay the foundation for a genetic test that can predict who is born with an increased risk for severe COVID-19.

“Imagine there are 1,000 changes in DNA linked to severe COVID-19. If you have 585 of these changes, that might make you pretty susceptible, and you’d want to take all the necessary precautions.”

Doctor Cooper-Knock also noted drugs that kickstart sluggish NK cells are already proposed to treat some types of cancer. “The drugs bind to receptors on the NK cells and trigger them to have a more robust response,” he said.

Trials of NK cell infusions for severe COVID-19 are underway.

Long Covid – symptoms to spot

There are lots of symptoms you can have after a COVID-19 infection.

Common long Covid symptoms include:

  • Extreme tiredness (fatigue)
  • Shortness of breath
  • Chest pain or tightness
  • Problems with memory and concentration (“brain fog”)
  • Difficulty sleeping (insomnia)
  • Heart palpitations
  • Dizziness
  • Pins and needles
  • Joint pain
  • Depression and anxiety
  • Tinnitus, earaches.

Source: Read Full Article