👤 Jordi Sarto

Progression in Alzheimer's disease (AD) involves three main interrelated biological axes-tau deposition, neurodegeneration, and neuroinflammation-that jointly drive cognitive decline. Although several cerebrospinal fluid (CSF) and plasma biomarkers along these axes are well validated for diagnosis, their value for prognosis remains uncertain. We assessed how baseline markers of each axis predict cognitive trajectories in biomarker-confirmed AD. We included 136 A + T + N + individuals (median follow-up = 24 months [IQR 12-24]; mean = 17.6 months [SD = 12.4]). Tau-deposition markers (CSF p-Tau181; plasma p-Tau181 and p-Tau217), neurodegeneration markers (CSF t-Tau; CSF and plasma neurofilament light chain, NfL) and a neuroinflammation marker (plasma glial fibrillary acidic protein, GFAP) were quantified using CLEIA, ELISA or Simoa, and stratified into tertiles. Participants were classified by age at onset, clinical phenotype, and APOE ε4 status. Cognition was assessed annually with a comprehensive neuropsychological battery. Linear mixed-effects models (MMRM) were used to test biomarker-cognition associations and interactions with clinical variables. Elevated CSF p-Tau181 and NfL levels were associated with greater decline in memory and executive function. Among plasma biomarkers, p-Tau217 and GFAP showed the strongest associations with widespread cognitive decline, particularly in language, visuospatial, and executive domains. These associations were independent of age at onset, clinical phenotype, and APOE ε4 status. Our findings highlight the potential prognostic value of fluid biomarkers in AD, especially CSF p-Tau181 and NfL, and plasma p-Tau217 and GFAP. These results suggest promise for improving disease monitoring, although prognostic utility at the individual level remains uncertain. Show less

A better understanding of gene expression and metabolic pathways in response to a feeding system is critical for identifying key physiological processes and genes associated with polyunsaturated fatty acid (PUFA) content in lamb meat. The main objective of this study was to investigate transcriptional changes in Show less

To investigate genetic determinants of macular pigment optical density in women from the Carotenoids in Age-Related Eye Disease Study (CAREDS), an ancillary study of the Women's Health Initiative Observational Study. 1585 of 2005 CAREDS participants had macular pigment optical density (MPOD) measured noninvasively using customized heterochromatic flicker photometry and blood samples genotyped for 440 single nucleotide polymorphisms (SNPs) in 26 candidate genes related to absorption, transport, binding, and cleavage of carotenoids directly, or via lipid transport. SNPs were individually tested for associations with MPOD using least-squares linear regression. Twenty-one SNPs from 11 genes were associated with MPOD (P ≤ 0.05) after adjusting for dietary intake of lutein and zeaxanthin. This includes variants in or near genes related to zeaxanthin binding in the macula (GSTP1), carotenoid cleavage (BCMO1), cholesterol transport or uptake (SCARB1, ABCA1, ABCG5, and LIPC), long-chain omega-3 fatty acid status (ELOVL2, FADS1, and FADS2), and various maculopathies (ALDH3A2 and RPE65). The strongest association was for rs11645428 near BCMO1 (βA = 0.029, P = 2.2 × 10(-4)). Conditional modeling within genes and further adjustment for other predictors of MPOD, including waist circumference, diabetes, and dietary intake of fiber, resulted in 13 SNPs from 10 genes maintaining independent association with MPOD. Variation in these single gene polymorphisms accounted for 5% of the variability in MPOD (P = 3.5 × 10(-11)). Our results support that MPOD is a multi-factorial phenotype associated with variation in genes related to carotenoid transport, uptake, and metabolism, independent of known dietary and health influences on MPOD. Show less