bioRxiv Science⌕ Search

Biology subjects

Sim, M. A.

Publications and source records attributed to Sim, M. A..

2 recordsLinked to original sources

Factor Analysis of Multimodal MRI, Biofluid and Vascular Health Biomarkers Reveals Latent Constructs of Brain Health

Individual imaging and fluid biomarkers provide insights into specific components of brain health, but integrated multimodal approaches are necessary to capture the complex, interrelated biological systems that contribute to brain homeostasis and neurodegenerative disease. Using data from the Brain and Cognitive Health (BACH) cohort study (N=127; mean age=67 years, 68% women), we performed an exploratory factor analysis to identify latent constructs of brain health. We included multimodal neurovascular imaging markers, brain atrophy metrics, plasma Alzheimers disease (AD) biomarkers and cardiovascular risk factors. Five constructs emerged: "Brain & Vascular Health" (greater hippocampal volume, basal ganglia enlarged perivascular spaces [ePVS], cerebral blood flow and HDL cholesterol; lower ventricle volume and BMI); "Structural Integrity" (greater cortical thickness, fractional anisotropy and basal ganglia ePVS); "Fluid Transport" (greater white matter ePVS and Free Water); "AD Biomarkers" (higher phosphorylated tau [pTau]181 and pTau217; lower amyloid-beta 42/40 ratio); and "Neuronal Injury" (higher glial fibrillary acidic protein and neurofilament light chain). All constructs were associated with age ({beta}=-0.70-0.39, p[&le;].014), except for Fluid Transport (p>.05). Brain & Vascular Health and Structural Integrity (partial r=.305, p<.001), and AD Biomarkers and Neuronal Injury (partial r=.248, p=.005) were positively correlated. Only Brain & Vascular Health was associated with global cognition ({beta}=0.27, SE=0.13, p=.043). These findings provide a data-driven framework for examining distinct constructs underlying vascular health, fluid regulation and neurodegenerative pathology. We demonstrate the utility of using multiple biomarkers to probe these biological systems, paving the way for future research to explore how these systems change across diverse neurodegenerative conditions.

neuroscience↗

Plasma pTau-217 Correlates with Brain Atrophy, Cognition, and CSF Biomarkers in a Cognitively Healthy Community Cohort

Plasma biomarkers are promising for detecting Alzheimers disease (AD) pathology, but their role in cognitively healthy individuals remains unclear. Plasma pTau-217 has high diagnostic accuracy for clinical and prodromal AD, yet its relevance in preclinical stages is underexplored. We examined if plasma biomarkers of AD, neurodegeneration, and neuroinflammation were associated with cognition, brain structure, and their cerebrospinal fluid (CSF) counterparts in dementia-free older adults. We studied community-based, dementia-free older adults from the Brain and Cognitive Health (BACH) cohort. Neuropsychological testing assessed global cognition (MMSE), memory (Logical Memory II), visual processing (Hooper Visual Organization Test), processing speed (Trail Making Test-A), and reasoning (Similarities). Paired plasma and CSF biomarkers (pTau-217, pTau-181, GFAP, NfL, A{beta}42/40) were measured using SIMOA. MRI-derived cortical thickness was used as a neurodegeneration marker. Multivariable linear regression assessed associations between log10-transformed plasma biomarker levels, cognition (adjusted for age, sex, education, hypertension, hyperlipidemia, diabetes), and cortical thickness (adjusted for age, sex, education, and intracranial volume). Pearsons correlations and Bland-Altman plots evaluated plasma-CSF agreement. There were 147 dementia-free participants (mean age{+/-}SD: 66.7{+/-}7.7 years; 56 % women). Higher plasma pTau-217 levels associated with lower global cognition scores ({beta} -0.80, 95% C.I. -1.56, -0.03, p=0.041) and abstract reasoning ({beta} -0.86, 95% confidence interval [C.I.] -1.62, -0.09, p=0.028). Greater plasma pTau-217 also associated with lower global cortical thickness ({beta}eta [{beta}] -0.21, 95% confidence interval [C.I]. -0.37, -0.06, per log unit change; p=0.006). No associations were found between the plasma biomarkers and processing speed or visual processing (p>0.05 for all). Among 47 participants with paired plasma-CSF biomarkers, plasma pTau-217 showed the strongest correlation with its CSF counterpart (R=0.76, p<0.0001), outperforming pTau-181 (R=0.61, p<0.0001), GFAP (R=0.66, p<0.0001), NfL (R=0.56, p<0.0001), and A{beta}42/40 (R=0.53, p=0.0001). In conclusion, plasma pTau-217 levels were associated with both cognition and cortical thickness in dementia-free older adults. All plasma biomarkers correlated significantly with their CSF counterpart. These findings reinforce the utility of plasma biomarkers, particularly pTau-217, as indicators of neurodegenerative processes, even in asymptomatic individuals.

neuroscience↗