Back

Formation of amyloid loops in brain tissues is controlled by the flexibility of protofibril chains

Miller, A. M.; Meehan, S.; Dobson, C. M.; Welland, M. E.; Klenerman, D.; Vendruscolo, M.; Ruggeri, F. S.; Knowles, T. P. J.

2022-09-13 molecular biology
10.1101/2022.09.13.507729 bioRxiv
Show abstract

Neurodegenerative diseases, such as Alzheimers Disease (AD), are associated with protein misfolding and aggregation into amyloid fibrils. Increasing evidence suggests that soluble, low molecular weight aggregates play a key role in disease-associated toxicity. Within these aggregates, protofibrillar loop-like structures have been observed for a variety of amyloid systems and their presence in brain tissues is associated with high levels of neuropathology. However, their mechanism of formation and relationship with mature fibrils has largely remained challenging to elucidate. Here, we use atomic force microscopy and statistical theory of biopolymers to characterise amyloid ring structures derived from the brains of AD patients. We analyse the bending fluctuations of protofibrils and show that the process of loop formation is governed by the mechanical properties of their chains. We conclude that ex vivo protofibril chains possess greater flexibility than that imparted by hydrogen-bonded networks characteristic of mature amyloid fibrils, such that they are able to form end-to-end connections. Furthermore, we show that these findings can be extended to several amyloid systems, giving a general framework relating the mechanical properties of assemblies and the conditions in which they can form loop structures. These results explain the diversity in the structures formed from protein aggregation and sheds light on the links between early forms of flexible ring-forming aggregates and their role in disease.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.