Lesnick, Timothy G.

AbstractBackgroundTamoxifen is used as a selective estrogen receptor modifier (SERM) to treat hormone receptor‐positive breast cancer. Raloxifene, another SERM, has been used for the treatment of osteoporosis in post‐menopausal women. The aim of this cross‐sectional study was to examine whether a history of tamoxifen or raloxifene use was associated with cognitive performance, odds of mild cognitive impairment (MCI), or structural neurodegenerative MRI markers.MethodThe study included women with and without a personal history of breast cancer enrolled in the Mayo Clinic Study of Aging (MCSA). A history of breast cancer and use of SERMs before the MCSA enrollment visit was abstracted using the Rochester Epidemiology Project medical‐linkage system. Participants had a diagnosis of MCI (prevalent) at the time of enrollment into the MCSA. Logistic regression was used to examine associations of SERMs with odds of MCI. Linear regression models were used to examine associations of SERMs with cognitive measures z‐scores (Memory, Executive Function, Language, Visuospatial Skills, Global Cognition), hippocampal volume, and Alzheimer’s disease signature cortical thickness.ResultAmong the women aged ≥ 50 at enrollment in the MCSA, 151 had a history of breast cancer, and 2235 had no prior history of any cancer. Of the 151 women with a history of breast cancer, 42 (28%) had taken tamoxifen and 109 (72%) had not at enrollment in the MCSA; 54 had neuroimaging data (tamoxifen = 16; no tamoxifen = 38). Among the women without prior history of cancer at enrollment in the MCSA, 76 (3%) had taken raloxifene and 2159 (97%) had not; 755 had neuroimaging data (raloxifene = 25; no raloxifene = 730). No significant associations between tamoxifen with global or domain‐specific cognition or odds of MCI were observed among women with a history of breast cancer after adjusting for confounders (Table 1). Likewise raloxifene was not significantly associated with global or domain‐specific cognition or odds of MCI in women without a history of cancer after adjusting for confounders (Table 2). We did not find significant associations between SERMs and any neuroimaging outcome (Table 3).ConclusionOur results suggest use of tamoxifen or raloxifene is not significantly associated with cognition in postmenopausal women.

AbstractBackgroundTwo pathways that help explain cognitive health are 1) brain maintenance – referring to the relative absence of brain changes over time; 2) cognitive reserve – a property of the brain that allows for sustained cognitive ability in the presence of brain pathology. Both pathways influence cognitive aging and are best understood using longitudinal data. Our goal was to assess the effect of modifiable vascular/metabolic and lifestyle enrichment factors on these pathways using longitudinal brain changes measured on structural magnetic resonance imaging (MRI) and longitudinal cognitive decline. Lastly, we combined these pathways and their relationships in the same model.MethodWe identified 1250 participants from a well‐characterized sample of older adults from the Mayo Clinic Study of Aging with both longitudinal MRI and cognitive data. Linear mixed models were performed to assess the impact of modifiable factors on brain maintenance and cognitive reserve. Latent growth curve models (SEM) were used to assess the impact of brain structure and cognitive reserve on longitudinal cognition.ResultThe mean age of our sample was 78.8 years, with 45.4% female, and 27.1% APOE4 carriers. Mean follow‐up time was 4.0 years with a mean of 3.2 MRI scans per participant. Linear mixed models showed that poorer vascular/metabolic health (presence of vascular/metabolic conditions) was associated with lower cross‐sectional temporal region cortical thickness (‐0.014 (0.003), p<0.001) and lower global cognition (‐0.042 (0.018), p = 0.024). Higher estimated cognitive reserve at baseline as assessed by education/occupation composite (0.103 (0.01), p<0.001) was associated with higher global cognition. Unexpectedly, late‐life physical activities were related to lower global cognition (‐0.05 (0.007), p = 0.004). Our final latent growth curve SEM fit the data well showing temporal associations between unmodifiable characteristics, cognitive reserve, and brain structural pathways, as well as the influence of modifiable vascular/metabolic factors.ConclusionWe found that brain maintenance and cognitive reserve pathways were related to better cognition over time. We further showed that vascular/metabolic health impacts long‐term cognitive outcomes (i.e. cognitive aging) primarily through the brain maintenance pathway. These data provide a modeling scheme for future studies and can aid in assessing the pathways by which individual factors may influence cognitive aging.

AbstractBackgroundWomen have higher rates of hypertension at the time of menopausal transition than men. Although elevated systolic and diastolic blood pressures (SBP and DBP) are risk factors for white matter (WM) injury both in women and men, WM hyperintensities (WMH), a marker of WM injury, are more common in women than in men after the age of 60. Thus, women may be vulnerable to the effects of elevated BP on WM integrity during menopausal transition. We investigated the association of BP in recently postmenopausal women with good cardiovascular health with WMH volume assessed 13 years later.MethodWomen (n = 212; median age = 67; range 58‐72), who were previously enrolled in a multi‐site randomized menopausal hormone therapy trial, Kronos Early Estrogen Prevention Study (KEEPS), participated in the present observational KEEPS Continuation Study. SBP and DBP were measured at KEEPS baseline (median age = 54 years; range 44‐59). Participants who were on antihypertensive medications at KEEPS baseline were excluded from the analysis (n = 34). Approximately 9 years after the end of KEEPS menopausal hormones versus placebo 4‐year interventions, WM integrity was assessed with automated WMH volume measurements from 3D‐FLAIR MRI. Associations of baseline SBP and DBP with logWMH volume measured 13 years later were tested by linear regression analyses. Model 1 was adjusted for age, study site, and total intracranial volume. Model 2 was adjusted for covariates of model 1, triglycerides, low density lipoproteins, and waist/hip ratio.ResultThe median SBP was 116 (range 83‐158) and DBP was 74 (range 56‐98). Higher SBP was associated with greater WMH volume (model 1:p = 0.005; model 2:p = 0.005). Similarly, higher DBP was associated with greater WMH volume (model 1:p = 0.008; model 2:p = 0.006) (Figure 1). Neither menopausal hormone therapies versus placebo, nor having high/low SBP (≥120/<120) modified these associations. Voxel‐based analyses demonstrate the association of BPs with the spatial distribution of WMHs (Figure 2).ConclusionHigher BPs in recently menopausal women were associated with greater WM injury more than a decade later after adjusting for CVD risk factors. Early postmenopausal stage is a critical time for BP control in women, which may reduce the risk of WM injury later in life.

Background: The National Institute on Aging-Alzheimer’s Association Research Framework proposes defining Alzheimer’s disease by grouping imaging and fluid biomarkers by their respective pathologic processes. The AT(N) structure proposes several neurodegenerative fluid biomarkers (N) including total tau (t-tau), neurogranin (Ng), and neurofilament light chain (NfL). However, pathologic drivers influencing each biomarker remain unclear. Objective: To determine whether cerebrospinal fluid (CSF)-neurodegenerative biomarkers (N) map differentially to Alzheimer’s disease pathology measured by Aβ 42 (an indicator of amyloidosis, [A]), p-tau (an indicator of tau deposition, [T]), and MRI vascular pathology indicators (measured by white-matter integrity, infarcts, and microbleeds [V]). Methods: Participants were from Mayo Clinic Study of Aging (MCSA) with CSF measures of NfL, Ng, t-tau, Aβ 42 , and p-tau and available MRI brain imaging. Linear models assessed associations between CSF neurodegeneration (N) markers, amyloid markers (A), tau (T), and vascular pathology (V). Results: Participants ( n = 408) had a mean age of 69.2±10.7; male, 217 (53.2%); cognitively unimpaired, 359 (88%). All three neurodegeneration biomarkers correlated with age ( p < 0.001 for NfL and t-tau, p = 0.018 for Ng). Men had higher CSF-NfL levels; women had higher Ng ( p < 0.001). NfL and t-tau levels correlated with infarcts ( p = 0.009, p = 0.034 respectively); no biomarkers correlated with white-matter integrity. N biomarkers correlated with p-tau levels (T, p < 0.001). Higher Aβ 42 levels associated with higher N-biomarker levels but only among cognitively unimpaired (A, p < 0.001). Conclusion: The influence of vascular pathology in the general population on CSF (N) biomarkers is modest, with greater influence of infarcts than white-matter disruption. Neurodegeneration markers more closely correlated with tau than amyloid markers.