Imaging synaptic density in ageing and Alzheimer's Disease with [18F]-SynVesT-1 DOI Creative Commons
Joseph Giorgio, David N. Soleimani‐Meigooni, Mustafa Janabi

et al.

Published: Oct. 26, 2024

Abstract Monitoring synaptic injury in neurodegenerative diseases may provide new insights into the evolution of degenerative process as well a potential mechanism to target for preservation function. Synaptic density imaging with PET is relatively approach this issue. However, there are remaining questions about technical approaches data analysis including reference region selection, and how specific phenotypic presentations symptoms Alzheimer’s Disease (AD) reflected alterations density. Methods Using an SV2A ligand radiolabeled 18 F isotope ([ F]-SynVesT-1) we performed sensitivity analyses determine optimal tissue modelling derive whole brain ratio images. these images from sample young adults, older patients varied AD then contrast regional vivo biomarkers. Result Reference optimisation concluded that cerebellar grey matter best deriving images, find strong inverse association between [ F]-SynVesT-1 uptake amyloid beta tau deposition. Finally, individuals lower temporal volume but higher show preserved performance on MMSE. Conclusions shows close pathology be possible marker resilience neurodegeneration.

Language: Английский

Increased Expression of Synaptic Vesicle Glycoprotein 2A (SV2A) in the Brain of Chronic Diabetic Rats DOI Creative Commons
Burcu Azak Pazarlar, Cansu Bilister Eğilmez, Eser Öz Oyar

et al.

Synapse, Journal Year: 2025, Volume and Issue: 79(3)

Published: May 1, 2025

ABSTRACT Aim/hypothesis Diabetes mellitus has been reported to be a risk factor for cognitive dysfunction, depression, stroke, and seizures. Diabetic pathology is believed interfere with synaptic plasticity. Synaptic vesicle glycoprotein 2A (SV2A) presynaptic vesicular protein popular density imaging marker. We investigated the effect of chronic hyperglycemia on expression SV2A in cerebral cortex hippocampus rats compared it other markers, such as GAP43, Synaptotagmin‐1, SNAP25. Methods A single dose streptozotocin (STZ, 45 mg/kg, i.p.) was administered adult male rats, resulting sustained reduced plasma insulin levels. Controls were injected saline, another STZ group treated insulin. Fasting blood glucose (FBG) fasting (FPI) levels monitored throughout observation period, level determined by radioligand, [ 3 H]UCB‐J, binding capacity using in‐vitro autoradiography ELISA. Similarly, tissue concentration proteins SNAP25, SYN1 measured Quantitative RT‐qPCR performed measure Sv2a, Sv2b , Sv2c transcripts. Finally, hippocampal cortical glutamate all tissues. Results H]UCB‐J binding, (pg/mg protein) Sv2a mRNA significantly higher hyperglycemic rats. The detected ELISA showed, expected, positive correlation each other. same significant seen between SV2A, FBG, l across animals ( p ≤ 0.001). Notably, there no difference linearity FBG markers Conclusions Unlike (e.g., SYN‐1), rise independently density, correlating elevated metabolic activity. These findings raise doubt about SV2A's role pure

Language: Английский

Citations

0
Imaging synaptic density in ageing and Alzheimer's Disease with [18F]-SynVesT-1 DOI Creative Commons
Joseph Giorgio, David N. Soleimani‐Meigooni, Mustafa Janabi

et al.

Published: Oct. 26, 2024

Abstract Monitoring synaptic injury in neurodegenerative diseases may provide new insights into the evolution of degenerative process as well a potential mechanism to target for preservation function. Synaptic density imaging with PET is relatively approach this issue. However, there are remaining questions about technical approaches data analysis including reference region selection, and how specific phenotypic presentations symptoms Alzheimer’s Disease (AD) reflected alterations density. Methods Using an SV2A ligand radiolabeled 18 F isotope ([ F]-SynVesT-1) we performed sensitivity analyses determine optimal tissue modelling derive whole brain ratio images. these images from sample young adults, older patients varied AD then contrast regional vivo biomarkers. Result Reference optimisation concluded that cerebellar grey matter best deriving images, find strong inverse association between [ F]-SynVesT-1 uptake amyloid beta tau deposition. Finally, individuals lower temporal volume but higher show preserved performance on MMSE. Conclusions shows close pathology be possible marker resilience neurodegeneration.

Language: Английский

Citations

0