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Drug breakthrough could substantially slow progression of motor neurone disease, say scientists
- On November 10, University of Wollongong scientists published a Nature Communications proof-of-concept led by Dr. Christen Chisholm unveiling MisfoldUbL, a molecule targeting toxic misfolded SOD1 proteins.
- Proteins that misfold in cells can accumulate into aggregates that damage and eventually kill motor neurones, and about 35% of people with inherited MND in Australia carry SOD1 mutations that increase misfolding.
- MisfoldUbL acts like a protein recycling tag that attaches to misfolded SOD1 and directs the cell's waste-disposal system; in mouse models, it slowed symptoms and protected motor neurones.
- Researchers are now hopeful the drug can be tested on humans, as preclinical studies showed improved movement, gait, nerve function, and motor neurone protection in mice with no current cure for MND.
- The project builds on the late Professor Justin Yerbury's idea, funded by a $1 million FightMND grant in 2020, while University of Wollongong researchers develop a spin-off diagnostic tool for earlier genetic diagnosis.
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Drug breakthrough could ‘substantially slow progression’ of MND, scientists say
A preclinical study of M102 showed it slowed the progression of MND and preserved muscle function in mice. Scientists have discovered a new medicine that protects nerve cells damaged by motor neurone disease (MND), offering hope of substantially slowing the progression of “one of the cruellest diseases”. Preclinical studies of M102 showed improvement in movement and nerve function in mice. Researchers are now hopeful the drug can be tested on pe…
The IndependentReposted by 
The Independent (US)
The Independent (US)Major motor neurone disease breakthrough offers hope to those with ‘cruel’ condition
A new medicine, discovered by scientists, protects nerve cells damaged by motor neurone disease (MND), offering hope of substantially slowing the progression of "one of the cruellest diseases".
·London, United Kingdom
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Total News Sources12
Leaning Left7Leaning Right0Center3Last UpdatedBias Distribution70% Left
Bias Distribution
- 70% of the sources lean Left
70% Left
L 70%
C 30%
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