Genetic disease healed using genome editing
A team of researchers from ETH Zurich and the University Children’s Hospital Zurich applied a newly developed editing tool to target and correct genetic mutations. By doing so, the researchers healed mice suffering from a genetic metabolic disorder that also affects humans.
Based on the Crispr-Cas method, researchers developed a tool for the targeted correction of defective genes.
Copyright: Colourbox
Parents of newborns may be familiar with the metabolic disorder phenylketonuria: in Switzerland, all newborn babies are screened for this genetic disease. If a baby is found to have phenylketonuria, it needs a special diet so that the amino acid phenylalanine does not accumulate in the body. Excess phenylalanine delays mental and motor development. If left untreated, the children may suffer massive mental disability.
The cause of this metabolic disorder is a mutation in a gene that provides the blueprint for the enzyme phenylalanine hydroxylase (Pah). This enzyme, which is produced by the cells of the liver, metabolizes phenylalanine. The disorder is referred to as “autosomal recessive”: the child develops the disease if it inherits one mutated gene from the mother and one from the father. There has been no cure for this disorder to date.
Enhancement of the CRISPR/Cas9 system
A team of researchers led by ETH professor Gerald Schwank has now taken advantage of a method to correct both mutated genes in the liver cells and thus heal the disease. They have succeeded, at least in mice.
With the help of a CRISPR/Cas9 system extended by one enzyme, the researchers changed the sequence of the DNA building blocks for the corresponding gene in adult mice. The liver cells were subsequently able to produce functioning Pah enzymes, and the mice were healed.
Let’s look at the details: The CRISPR/Cas9 system enhanced by the enzyme cytidine deaminase binds to the locus on the gene that needs to be corrected and locally opens both DNA strands. The deaminase converts the disease-causing DNA base pair C-G into T-A, which is the base pair that occurs at that spot in healthy individuals. This corrects the error in the DNA sequence of the Pah enzyme.
In traditional CRISPR/Cas editing, inducing a DNA double-stranded break is the central element of genome editing. The double strand is cut at a defined point, and the cell attempts to repair the cut using various mechanisms. If a matching DNA sequence is added to the cell from outside, it enables a specialized repair mechanism to precisely modify the specific genetic sequence.
The problem here is that most human cells primarily use other DNA repair mechanisms that produce additional undesired mutations.
More sparing genome editing
The researchers realized that the new genome editing tool is much more efficient than the traditional CRISPR/Cas9 method: up to 60 percent of all copies of the gene with errors in the mouse liver were corrected. This resulted in the concentration of phenylalanine falling to normal levels, and the animals no longer showing any signs of the disorder after being treated with the genome editing tool.
To transfer the genetic code for the new editing tool to the liver cells, the researchers implanted the required genes into adeno-associated viruses and injected them into the blood of the mice. The virus then infected the liver cells, thereby introducing the genes for the editing tool into the liver cell.
Healing other metabolic diseases
“This approach has great potential for application in humans”, says Gerald Schwank. However, this study is only a first proof of concept. Clinical studies in other animal models would have to follow in order to test the efficacy and safety of the new genome editing tool for application in humans.
Previous methods of genome editing have only limited success at correcting target mutations directly in animals. The correction rate in the liver of adult mice has previously been only a few percent, explains Schwank. “Here we’ve achieved several fold higher editing rates – nobody has managed that so far.”
Schwank considers the risks to be low. After applying the editing tool in the mouse model the researchers looked for non-target mutations, that is, on sites where there shouldn’t be mutations. But they didn’t find any. Schwank would like to examine this more closely in a follow-up study. «The human liver consists of several billion cells. In none of them we want to induce any mutations that could cause cancer», emphasizes Schwank. Testing is also needed to find out whether the adeno-associated virus used by the researchers as a vehicle for applying the editing tool gene causes any adverse effects.
Focus on further metabolic disorders
“The use of a base editor was the key to our success”, explains Schwank’s doctoral candidate and primary author of the study, Lukas Villiger. They were developed at the Massachusetts Institute of Technology (MIT) and presented just two years ago in a scientific journal. Before that, the ETH researchers had been working with traditional CRISPR/Cas approaches. In 2016, Schwank and Villiger starting using the techniques developed by the US researchers. “Even with the new base editors, the path still didn’t follow a straight line – we had to tinker around quite a bit”, says Villiger. The biggest surprise was that this system is so much more effective than the traditional CRISPR/Cas toolbox.
Schwank is now looking for funding to conduct trails on other animal models such as pigs. “The liver of the mouse differs in size and structure from that of humans or pigs, so we definitely have to expand the scope of our trials to other organisms to make progress.”
Phenylketonuria is not the only genetic metabolic disorder that affects the liver. For example, urea cycle disorders prevent the body from removing ammonia (as a by-product from foods containing nitrogen) from the blood and metabolizing it to urea. This results primarily in central nervous dysfunctions. The only currently available option to cure this disease is liver transplantation. Therefore, Schwank would like to test the newly developed genome editing tool for use in such diseases as well.
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