👤 Tonatiuh Melgarejo

Canine Cognitive Dysfunction (CCD) is an increasingly prevalent naturally occurring neurodegenerative condition in senescent dogs that share neuropathological and clinical features with human Alzheimer's disease (AD). Metabolic profiling allows for identification of new candidates for AD biomarkers, diagnostics, and therapeutics. Despite its translational potential, plasma metabolomic profiling of dogs with CDD has not been previously characterized. This case-control study analyzed plasma samples from ten client-owned geriatric dogs, including five with severe CCD and five age-matched, clinically healthy controls. Untargeted plasma metabolomics was performed using ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). Multivariate and univariate statistical analyses identified significant metabolic differences between the groups. Metabolites were considered significant based on a variable importance in projection (VIP) score > 1.5, fold change (FC) > 2.0, and adjusted Fifteen metabolites across seven chemical classes were significantly altered in CCD dogs compared to controls, including glycerophospholipids, steroid derivatives, indoles, and mitochondrial-related compounds. Notably, elevated lysophosphatidic acid (LPA 20:2/0:0) and reduced ubiquinone-2 levels suggest dysregulation in neuroinflammatory and oxidative stress pathways. Cholesterol exhibited the highest FC and VIP scores, further reinforcing its role in AD pathogenesis. Hierarchical clustering and pathway enrichment analyses supported distinct metabolic signatures in CCD that mirror those observed in human AD. This is the first untargeted plasma metabolomic profiling of dogs with CCD, revealing systemic metabolic disturbances that align with AD pathophysiology. Data was collected from senescent community-dwelling companion dogs, which enhances the study's ecological and translational relevance. It supports the utility of CCD as an AD model and highlight candidate plasma biomarkers that warrant further investigation. Future longitudinal studies integrating metabolomics with neuroimaging, histopathology, and behavioral assessments are required to validate these findings and contribute to AD biomarker discovery and therapeutic development. Show less

Cardiovascular risk factors are important contributors to the risk of Alzheimer disease (AD). To further explore the physiologic links between cardiovascular health and AD risk, we studied the associations between various blood lipoprotein levels and AD risk in community-dwelling older adults. This longitudinal analysis included participants aged 60 years or older without prevalent dementia and with available cognitive follow-up and lipoprotein marker data from the Framingham Heart Study. Levels of high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C), lipoprotein a (Lp(a)), apolipoprotein B (ApoB), and the ApoB isoform ApoB48 were measured in blood samples obtained from 1985 to 1988. Participants were under surveillance for incident AD until 2020. AD diagnosis was based on standard clinical criteria. The relationships between blood lipoprotein levels (expressed as both continuous variables and quartiles) and AD incidence were examined using Cox proportional hazard models adjusted for baseline age and sex. A total of 822 participants (mean [SD] age 72.5 [3.7] years, 538 [65.5%] women) were followed for a median (interquartile range) of 12.55 (7.34-15) years, during which 128 participants developed incident AD. An increase of 1 standard deviation unit (SDU) in ln(sdLDL-C) concentration was associated with a 21% increase in the risk of incident AD (hazard ratio [HR] 1.21, 95% CI 1.01-1.45), whereas a 1-SDU increase in ln(ApoB48) concentration was associated with a 22% decrease in the risk of incident AD (HR 0.78, 95% CI 0.66-0.93). Participants in the first HDL-C quartile were 44% less likely to develop AD compared with those in the second, third, and fourth HDL-C quartiles (HR 0.56, 95% CI 0.33-0.95). Participants with sdLDL-C concentrations below the median were 38% less likely to develop AD compared with those with sdLDL-C concentrations above the median (HR 0.62, 95% CI 0.44-0.86). Lower sdLDL-C and higher ApoB48 concentrations were associated with a lower AD risk. In addition, individuals with the lowest HDL-C concentrations were less likely to develop AD compared with the remaining sample. These findings underscore links between lipoprotein metabolism pathways and AD risk, emphasizing the potential role of blood lipoprotein markers in AD risk stratification and of lipid modification strategies in dementia prevention. Show less