BACKGROUND: Study of synaptic integrity using conventional electrophysiology is a gold standard for quantitative assessment of neurodegeneration. Fluorescence assisted single-synapse long-term potentiation (FASS-LTP) provides a high throughput method to assess the synaptic integrity of neurotransmission within and between different brain regions as a measure of pharmacological efficacy in translational models. NEW METHOD: We adapted the existing method to our purpose by adding a step during the thawing of frozen samples, by an extra step of placing them on a rocker at room temperature for 30â¯minutes immediately following thawing with constant mixing on a shaker. This allowed for gradual, uniform thawing, effectively separating the synaptosomes. Our study demonstrates FASS-LTP on four brain regions at 6- and 12-month periods in the 3xTg-AD mouse model, treating sibling cohorts with VU0155069 (a small molecule inhibitor) or vehicle (0.9â¯% saline). RESULTS: Our findings demonstrate the robust ability of the FASS-LTP technique to characterize the functional synaptic integrity maintained by disease-treatment therapies in multiple brain regions longitudinally using frozen brain tissue. COMPARISON WITH EXISTING METHODS: By providing a detailed, user-friendly protocol for this well-known analysis and including a recovery step improved the ability to robustly replicate the FASS-LTP between different brain regions. This may be extrapolated to a translational use on human clinical samples to improve understanding of the therapeutic impact on synaptic performance related to glutamate neurotransmission. CONCLUSIONS: FASS-LTP method offers a robust analysis of synaptosomes isolated from frozen tissue samples, demonstrating greater reproducibility in rodent and human synapses in physiological and pathological states.
Using FASS-LTP in postmortem mice brain tissues to assess pathological synaptic function.
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作者:Currie Joshua, Budhwani Shaneilahi, Garza Klarissa H, Mallipudi Malav, Natarajan Chandramouli, Sreenivasamurthy Sravan Gopalkrishna Shetty, Krishnan Balaji
| 期刊: | Journal of Neuroscience Methods | 影响因子: | 2.300 |
| 时间: | 2024 | 起止号: | 2024 Sep;409:110219 |
| doi: | 10.1016/j.jneumeth.2024.110219 | ||
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