4.6 Article

Nano-Infrared Imaging of Primary Neurons

期刊

CELLS
卷 10, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/cells10102559

关键词

O-PTIR; s-SNOM; neuron; amyloid-beta; Alzheimer's disease

资金

  1. Royal Physiographic Society of Lund [40801]
  2. Multipark
  3. CNPq [120001/2019-5, 311564/2018-6]
  4. FAPESP [2019/14017-9]
  5. Swedish Research Council [2017-01539]
  6. Vinnova [2019-02554]
  7. Crafoord [20181046, 20190755]
  8. Swedish Brain Foundation [FO2020-0315, FO2018-0054]
  9. Swedish Research Council [2017-01539] Funding Source: Swedish Research Council

向作者/读者索取更多资源

Alzheimer's disease is a major cause of cognitive decline and death in the elderly, and effective prevention is still lacking. This study demonstrates that scattering-type scanning near-field optical microscopy can detect amyloid beta-sheet structures in individual neurons, providing a new perspective for future research.
Alzheimer's disease (AD) accounts for about 70% of neurodegenerative diseases and is a cause of cognitive decline and death for one-third of seniors. AD is currently underdiagnosed, and it cannot be effectively prevented. Aggregation of amyloid-beta (A beta) proteins has been linked to the development of AD, and it has been established that, under pathological conditions, A beta proteins undergo structural changes to form beta-sheet structures that are considered neurotoxic. Numerous intensive in vitro studies have provided detailed information about amyloid polymorphs; however, little is known on how amyloid beta-sheet-enriched aggregates can cause neurotoxicity in relevant settings. We used scattering-type scanning near-field optical microscopy (s-SNOM) to study amyloid structures at the nanoscale, in individual neurons. Specifically, we show that in well-validated systems, s-SNOM can detect amyloid beta-sheet structures with nanometer spatial resolution in individual neurons. This is a proof-of-concept study to demonstrate that s-SNOM can be used to detect A beta-sheet structures on cell surfaces at the nanoscale. Furthermore, this study is intended to raise neurobiologists' awareness of the potential of s-SNOM as a tool for analyzing amyloid beta-sheet structures at the nanoscale in neurons without the need for immunolabeling.

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