New imaging method sheds light on Alzheimer’s disease

New imaging method sheds light on Alzheimer's disease
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A new imaging technology method has been tested to help shed light on Alzheimer’s disease.

Researchers have tested a new imaging technology method to study the molecular structures in the neurons affected by Alzheimer’s disease.

To understand what happens in the brain when Alzheimer’s disease develops, researchers need to be able to study the molecular structures in the neurons affected by Alzheimer’s disease. Researchers at Lund University in Sweden have now tested a new imaging method for this purpose.

In Alzheimer’s disease, so-called beta-amyloid plaques are formed in the brain, and neurons in the brain die. When the plaque becomes visible in brain tissue, the disease is already in an advanced stage, and as more and more nerve cells die, memory disruptions begin, something that eventually results in memory loss.

But what happens in the nerve cells before amyloid plaques appear, and why do nerve cells die?

The study has been published in the journal Advanced Science.

Why do nerve cells die?

Using optical photothermal spectroscopy, or ‘O-PTIR’, the researchers at Lund University have collaborated with colleagues at Synchrotron SOLEIL in France to study protein structures within nerve cells – without using the chemical processing of nerve cells required for other imaging techniques, something that can affect the very structures that scientists want to study.

Researcher Oxana Klementieva, group leader for medical microscopy at Lund University, said: “This is a question that researchers have long struggled to find answers to. We have not had enough imaging techniques to study the structural changes in nerve cells. This is required to detect very early changes, and therefore potentially understand the triggers.

“We saw that the structure of the protein changes in different ways depending on where in the nerve cell it is. So far, there have been no methods that can produce these types of images, giving us insight into what the first molecular changes in neurons actually look like in Alzheimer’s disease”.

Klementieva and her colleagues have previously shown that early structural changes of beta-amyloid, the protein believed to be at the root of Alzheimer’s disease, happen before amyloid plaques appear. Now, the researchers want to investigate further where in the cell the structures change happen, and whether it can help to explain the mechanisms behind Alzheimer’s disease.

Klementieva said: “If it depends on several different mechanisms, something I believe to be the case, we therefore, would need different types of treatments”.

The researchers have been able to use the new method to image neurons affected by early-stage Alzheimer’s disease in mice before the death of the nerve cells, something that is important when mapping the disease mechanisms.

Klementieva believes that the new imaging technology can also be used to study protein structures related to other diseases that affect the brain, such as Parkinson’s disease, Lewy Body dementia and frontal lobe dementia.

Using imaging technology to understand disease

Gunnar Gouras, a professor of experimental neurology at Lund University who also participated in the study, believes that technology shifts like this are necessary for researchers to be able understand the complex diseases that affect the brain.

Gouras points out that Sweden is at the forefront of developing new ways of measuring biomarkers and diagnosing, but that we still do not understand how and what disease mechanisms break down the nerve cells.

He said: “The reason why we do not yet have effective treatments for Alzheimer’s disease have to do with the complexity of the brain”.

To put this complexity into perspective, he compares the brain to the heart.

“The heart itself is a complex muscle and, like all our other organs, is controlled by the brain – the brain’s nerve cells thus extend throughout the body. It is extremely complex. This imaging method provides a unique opportunity to study complexity in a way we could not do before”, concludes Gunnar Gouras.

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