A new study has used a state-of-the-art blood test to track damage to the brain in people who have sustained traumatic brain injury (TBI). Measuring the protein biomarker in the blood will provide a simpler, more accurate way to predict clinical outcomes and may help to identify those at higher risk of developing dementia. The study is published today (29 September) in Science Translational Medicine.
Around 50 million people each year worldwide experience TBI as a result of head injury. In the brains of these individuals, the nerve cells encounter severe stretching and sheering forces which cause damage to their axons, the part which transmits electrical signals. Axonal damage is the best predictor of clinical outcomes and recovery but has been difficult to measure in patients.
The team from the UK Dementia Research Institute’s (UK DRI) Care Research and Technology Centre, based at Imperial College London, set out to identify a chemical that could be easily detected in the blood – a biomarker – that would accurately reflect this axonal damage in the brain after TBI. To do this they harnessed cutting-edge technology called single molecule array (SiMoA) that can measure sub-femtomolar (10-16) levels of chemicals in the blood.
In this multicentre study, the researchers began by detecting proteins that are important to the structure of the nerve cell axons. They found that measuring blood levels of neurofilament light, a protein important for axonal structure provided a remarkably accurate long-term prognosis for the patient.
The team also used advanced types of brain imaging to validate blood test findings. Blood levels of neurofilament light were found to be closely related to measures from diffusion MRI, an advanced type of imaging which also provides measures related to damage to axons. The team also compared blood levels of neurofilament light with a special type of brain imaging that measures shrinkage (atrophy) of the brain, indicating the loss of nerve cells. They found that blood levels of neurofilament light tracked extremely well to brain atrophy and importantly predicted further nerve cell degeneration up to one year after the injury. These findings mean future blood tests could provide similar information to MRIs, but in a more cost-effective and accessible manner.
Dr Neil Graham, joint first author and Alzheimer’s Research UK Clinical Research Fellow at the UK DRI’s Care Research and Technology Centre, based at Imperial College London, said:
“I’m extremely excited by the ultrasensitive blood test technology we used here as it has opened up a whole new world of possibilities when it comes to precise injury diagnosis and prediction of outcomes after head injury. This is particularly useful in the area of dementia risk assessment after TBI, which is very challenging at present. If we could roll the neurofilament light test out across the country, it would be hugely impactful. We’re gearing up to offer it to NHS patients at Imperial in the near future.”
Dr Karl Zimmerman, joint first author and postdoctoral researcher at the UK DRI’s Care Research and Technology Centre, based at Imperial College London, said:
“These results are exciting as they pave the way for the use of these advanced biomarkers in the assessment of head injuries in other contexts. We have studied and shown that there may be similar changes occurring in professional athletes exposed to head injuries. We’re setting up more research to look at this in detail to improve care of sportspeople concerned with later life risk of dementia.”
The study involved over 200 patients who had experienced moderate to severe TBI, recruited from eight major trauma centres across Europe. In 56% of cases the injuries were classed as ‘high energy’, involving falls from over 3 metres or collisions at more than 30km/hour, with the majority of these caused by road traffic accidents.
The biomarker identified in the study, neurofilament light, is a protein found in neurons, important for the overall structural stability of these cells. It has become a useful tool for diagnosis, monitoring and prognosis across neurodegenerative disease like Alzheimer’s, but it’s potential for use in TBI had not been fully assessed and optimised until now.
Read the full paper – www.science.org/doi/10.