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Brinkmalm, A.

Publications and source records attributed to Brinkmalm, A..

2 recordsLinked to original sources

Associations between fluid biomarkers and PET imaging (UCB-J) of synaptic pathology in Alzheimer's disease

INTRODUCTIONPositron Emission Tomography (PET) imaging with ligands for synaptic vesicle glycoprotein 2A (SV2A) has emerged as a promising methodology for measuring synaptic density in Alzheimers disease (AD). We investigate the relationship between SV2A PET and CSF synaptic protein changes of AD patients. METHODTwenty-one participants with early AD and 7 cognitively normal (CN) individuals underwent [11C]UCB-J PET. We used mass spectrometry to measure a panel of synaptic proteins in CSF. RESULTSIn the AD group, higher levels of syntaxin-7 and PEBP-1 were associated with lower global synaptic density. In the total sample, lower global synaptic density was associated with higher levels of AP2B1, neurogranin, {gamma}-synuclein, GDI-1, PEBP-1, syntaxin-1B, and syntaxin-7 but not with the levels of the neuronal pentraxins or 14-3-3 zeta/delta. CONCLUSIONReductions of synaptic density found in AD compared to CN participants using [11C]UCB-J PET were observed to be associated with CSF biomarker levels of synaptic proteins.

neuroscience↗

Alzheimer's disease biomarker profiling in a memory clinic cohort without common comorbidities

Alzheimers disease is a multifactorial disorder with a heterogeneous patient population. Comorbidities such as hypertension, hypercholesterolemia and diabetes are known contributors to the disease progression. Indeed, therapies targeting these disorders have been shown efficient in dementia prevention. However, their mechanistic contribution to Alzheimers pathology and neurodegeneration has not been fully clarified. In the current study, we used CSF samples from a memory clinic cohort of 90 patients without diagnosed hypertension, hypercholesterolemia, or diabetes nor other neurodegenerative disorder, to investigate 13 molecular markers representing key mechanisms underlying Alzheimers pathogenesis. Levels were compared between clinical groups of subjective cognitive decline, mild cognitive impairment, and Alzheimers disease. Associations between markers and groups of markers were analyzed by linear regression. Two-step cluster analysis was used to determine patient clusters. Two key markers were further analyzed by immunofluorescence staining in hippocampus from control and AD individuals without hypertension, hypercholesterolemia nor diabetes. CSF angiotensinogen, thioredoxin-1, and interleukin-15 were the biomarkers with the most prominent associations with Alzheimers pathology, synaptic and axonal damage. Synaptosomal-associated protein 25 kDa and neurofilament light chain were increased in mild cognitive impairment and Alzheimer cases. When we grouped biomarkers by biological function, we found that inflammatory and survival components were associated with Alzheimers pathology, synaptic dysfunction and axonal damage. Moreover, a vascular/metabolic component was associated with synaptic dysfunction. In data-driven analysis, two patient clusters were identified; Older participants with increased CSF markers of oxidative stress, vascular pathology and neuroinflammation were assigned to cluster 1, that was also smaller and characterized by increased synaptic and axonal damage, compared to individuals in cluster 2. Clinical groups were evenly distributed between the clusters. Analysis of post-mortem hippocampal tissue, showed that, compared to controls, angiotensinogen staining was higher in Alzheimers disease and was also found to co-localize with phosphorylated-tau. In a population free of common comorbidities, we could still find associations between Alzheimers disease biomarkers and markers of pathways associated with increased risk for Alzheimers disease (i.e., neuroinflammation, vascular function, oxidative stress and cholesterol homeostasis), suggesting that these pathways are contributing to Alzheimers disease mechanisms even in absence of clinically diagnosed comorbidities. The identification of distinct biomarker-driven endophenotypes of cognitive disorder patients, further highlights the biological heterogeneity of Alzheimers disease and the importance of developing tailored prevention and treatment strategies.

neuroscience↗