Researchers have recently described a new method to quantify a person’s “immune age” – a measure that could act as a key determinant of future health, as well as response to disease and treatment.
This novel test appears to provide a more reliable predictor for the status of one’s immune system than any other previous method.
And it could be useful in other ways.
In today’s post, we will discuss this new method of determining “immune age”, explore examples of how similar analysis has been used for other conditions, and consider what it could mean for Parkinson’s.
Do you remember Andre Agassi?
I know he’s still around, but when I was young and less beautiful, I was a big fan. Not only of his on court achievements, but also of his charismatic off-court image.
And it certainly paid off well for him:
One of the things that Agassi taught us was that “image is everything”.
Before Agassi, tennis was a conservative sport of white shirts & shorts (McEnroe was basically as radical as things got). It was bland, conservative, and – yes, I’ll say it – boring.
Agassi not only brought colour but charisma to the game. It was shocking and disgraceful to some, but to young, naive fools like me, it was a captivating breath of much needed fresh air.
Despite the early infatuation with the stylings of Mr Agassi, I have to admit that I have never remotely been concerned about own image. My dimensions mean that I wear what fits as opposed to what I like, and as a result the finished product is better behind a keyboard rather than speaking to a crowd.
But as I have gotten older, I have become concerned about a different kind of IMM-AGE (not a typo).
Let me explain: Recently some researchers in Israel and at Stanford University in the US published a rather remarkable research report which if replicated could have important implications for how we approach medical care.
What did they report?
Today – 27th February, 2019 – the long-awaited results of the Phase II GDNF clinical trial were published.
GDNF (or glial cell line-derived neurotrophic factor) is a protein that our bodies naturally produce to nurture and support cells. Extensive preclinical research suggested that this protein was particularly supportive of dopamine neurons – a group of cells in the brain that are affected by Parkinson’s.
The results of the Phase II clinical trial suggest that the treatment was having an effect in the brain (based on imaging data), but the clinic-based methods of assessment indicated no significant effect between the treatment and placebo groups.
In today’s post we will look at what GDNF is, review the previous research on the protein, discuss the results of the latest study, and look at what happens next.
And be warned this is going to be a long post!
Boulder, Colorado. Source: Rps
It all began way back in 1991.
George H. W. Bush was half way into his presidency, a rock band called Nirvana released their second album (‘Nevermind’), Michael Jordan and the Chicago Bulls rolled over the LA Lakers to win the NBA championship, and Arnold Schwarzenegger’s ‘Terminator 2’ was the top grossing movie of the year.
But in the city of Boulder (Colorado), a discovery was being made that would change Parkinson’s research forever.
In 1991, Dr Leu-Fen Lin and Dr Frank Collins – both research scientists at a small biotech company called Synergen, isolated a protein that they called glial cell-derived neurotrophic factor, or GDNF.
And in 1993, they shared their discovery with the world in this publication:
Title: GDNF: a glial cell line-derived neurotrophic factor for midbrain dopaminergic neurons.
Authors: Lin LF, Doherty DH, Lile JD, Bektesh S, Collins F.
Journal: Science, 1993 May 21;260(5111):1130-2.
For the uninitiated among you, when future historians write the full history of Parkinson’s, there will be no greater saga than GDNF.
In fact, in the full history of medicine, there are few experimental treatments that people get more excited, divided, impassioned and evangelical than GDNF.
This ‘wonder drug’ has been on a rollercoaster ride of a journey.
What exactly is GDNF?