Castillo, Anna

Abstract INTRODUCTION Research is limited regarding meaningful change thresholds for individual patients on clinical outcome assessments (COAs) frequently used in clinical trials for Alzheimer's disease and related dementias (ADRD), particularly in population‐based studies early in the disease course. METHODS There were 646 study participants in the population‐based Mayo Clinic Study of Aging (MCSA), 54–99 years old (47% females), who developed the clinical syndromes of mild cognitive impairment (MCI) with complete data to establish clinically meaningful within‐patient change thresholds in cognitive and functional COAs. RESULTS Using the diagnosis of incident MCI as the anchor, mean (95% confidence interval [CI]) annualized estimates of change were: Clinical Dementia Rating (CDR) scale Sum of Boxes (SB) 0.49 (0.43, 0.55), Mini‐Mental State Examination (MMSE) −1.01 (−1.12, −0.91), and Functional Activities Questionnaire (FAQ) score 1.04 (0.82, 1.26). DISCUSSION This study provides within‐patient estimates of clinically meaningful change early in disease progression in a community‐based sample. Highlights We studied incident mild cognitive impairment (MCI) participants from a population‐based study. Within‐patient change thresholds were estimated for clinical outcome assessments (COAs) used in clinical trials for Alzheimer's disease and related dementia (ADRD). These estimates may be used to plan and evaluate clinical trials involving disease‐modifying therapies (DMTs).

AbstractBackgroundThe NIA Health Disparities Research (NIA‐HD) Framework organizes factors in four domains (i.e., environmental, sociocultural, behavioral, and biological), which work together over the lifetime to influence health and health disparities.MethodIn previous work, we employed a 2‐stage approach using factor and principal component (PC) analyses to identify patterns of factors in the domains of the NIA‐HD Framework. We found three PCs that identified related groupings from more than one NIA‐HD domain. PC1: retirement status, residence type, multivitamin use, heart disease, Charlson comorbidity index, walking/balance difficulties, and Beck Depression Inventory (BDI)‐II questions – mainly from the somatic dimension; PC2: physical activity/exercise, social and group activities, education, occupation, cardiometabolic risk factors, and self‐rated health; PC3: national and state area deprivation index ranking and BDI‐II questions – mainly in the cognitive dimension. Age and sex‐adjusted linear regression models were used to assess the cross‐sectional association of each PC with AD‐plasma biomarkers measured using the Quanterix Simoa platform in the Mayo Clinic Study of Aging (MCSA) participants. AD‐plasma biomarkers included Aβ 42/40, phosphorylated‐tau 181 (p‐tau181), plasma glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL). All analyses were considered statistically significant at a p <0.05.ResultThere were 1300 cognitively unimpaired participants, 50 years old or older, with available plasma biomarkers (mean age (SD) 68.6 (9.5) years; 49.1% were female) at the current study baseline. PC1 and PC3 were associated with higher NfL and p‐tau 181 values (p<0.05). PC1 and PC2 were associated with higher GFAP values (p<0.05). No PCs were associated with the Aβ 42/40 ratio. Findings were mostly similar after additionally adjusting for global cognitive performance and chronic kidney disease.ConclusionWe found that patterns in a wide range of environmental, sociocultural, behavioral, and biological factors were associated with AD plasma biomarkers. Longitudinal studies are warranted to validate findings and support multi‐faceted approaches to address health disparities and achieve disease delay and prevention.

Abstract INTRODUCTION Premenopausal bilateral oophorectomy (PBO) before the age of 46 years is associated with an increased risk of dementia. We investigated the long‐term effects of PBO performed before age 50 years on amyloid beta (Aβ), tau, and neurodegeneration imaging biomarkers of Alzheimer's disease (AD). METHODS Mayo Clinic Cohort Study of Oophorectomy and Aging‐2 participants were divided into early PBO (< 46 years; n = 61), and late PBO (46–49 years; n = 51) groups and were compared to referent women who did not undergo PBO ( n = 119). RESULTS Early PBO was associated with thinner entorhinal cortex ( p = 0.014), higher tau load at higher levels of Aβ load ( Pp = 0.005), higher Aβ load ( p = 0.026), and smaller temporal lobe cortical thickness ( p = 0.022), only at older ages compared to the referent group. DISCUSSION PBO before the age of 46 years is associated with entorhinal cortex thinning, elevated tau at higher Aβ levels, along with an AD‐like pattern of atrophy at older ages. CLINICAL TRIALS REGISTRATION NCT03821857 sex‐specific effects of endocrine disruption on aging and AD. Highlights Premenopausal bilateral oophorectomy (PBO) before the ages of 46 (early PBO) years and ages 46 to 49 (late PBO) years was studied. Early PBO was associated with reduced entorhinal cortex thickness later in life. Early PBO was associated with greater amyloid beta (Aβ) load at older ages. Early PBO was associated with greater Alzheimer's disease pattern of atrophy at older ages. Early PBO was associated with higher tau load at higher Aβ levels.

Abstract Background White matter (WM) abnormalities have been implicated in clinically relevant functional decline in multiple system atrophy (MSA). Objective To identify the WM and gray matter (GM) abnormalities in MSA and assess the utility of longitudinal structural and diffusion changes as surrogate markers for tracking disease progression in MSA. Methods Twenty‐seven participants with early MSA [15 with clinically predominant cerebellar (MSA‐C) and 12 with clinically predominant parkinsonian features (MSA‐P)] and 14 controls were enrolled as a part of our prospective, longitudinal study of synucleinopathies. Using structural magnetic resonance imaging (MRI) and diffusion MRI (diffusion tensor and neurite orientation and dispersion density imaging), we analyzed whole and regional brain changes in these participants. We also evaluated temporal imaging trajectories based on up to three annual follow‐up scans and assessed the impact of baseline diagnosis on these imaging biomarkers using mixed‐effect models. Results MSA patients exhibited more widespread WM changes than GM, particularly in the cerebellum and brainstem, with greater severity in MSA‐C. Structural and diffusion measures in the cerebellum WM and brainstem deteriorated with disease progression. Rates of progression of these abnormalities were similar in both MSA subtypes, reflecting increasing overlap of clinical features over time. Conclusion WM abnormalities are core features of MSA disease progression and advance at similar rates in clinical MSA subtypes. Multimodal MRI imaging reveals novel insights into the distribution and pattern of brain abnormalities and their progression in MSA. Selected structural and diffusion measures may be useful for tracking disease progression in MSA clinical trials.