Mosley, Thomas H.

Background and Purpose: Stroke is a complex disease with multiple genetic and environmental risk factors. Blacks endure a nearly 2-fold greater risk of stroke and are 2× to 3× more likely to die from stroke than European Americans. Methods: The COMPASS (Consortium of Minority Population Genome-Wide Association Studies of Stroke) has conducted a genome-wide association meta-analysis of stroke in >22 000 individuals of African ancestry (3734 cases, 18 317 controls) from 13 cohorts. Results: In meta-analyses, we identified one single nucleotide polymorphism (rs55931441) near the HNF1A gene that reached genome-wide significance ( P =4.62×10 −8 ) and an additional 29 variants with suggestive evidence of association ( P <1×10 −6 ), representing 24 unique loci. For validation, a look-up analysis for a 100 kb region flanking the COMPASS single nucleotide polymorphism was performed in SiGN (Stroke Genetics Network) Europeans, SiGN Hispanics, and METASTROKE (Europeans). Using a stringent Bonferroni correction P value of 2.08×10 −3 (0.05/24 unique loci), we were able to validate associations at the HNF1A locus in both SiGN ( P =8.18×10 −4 ) and METASTROKE ( P =1.72×10 −3 ) European populations. Overall, 16 of 24 loci showed evidence for validation across multiple populations. Previous studies have reported associations between variants in the HNF1A gene and lipids, C-reactive protein, and risk of coronary artery disease and stroke. Suggestive associations with variants in the SFXN4 and TMEM108 genes represent potential novel ischemic stroke loci. Conclusions: These findings represent the most thorough investigation of genetic determinants of stroke in individuals of African descent, to date.

INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities. Variations in human cortical surface area and thickness are associated with neurological, psychological, and behavioral traits and can be measured in vivo by magnetic resonance imaging (MRI). Studies in model organisms have identified genes that influence cortical structure, but little is known about common genetic variants that affect human cortical structure. RATIONALE To identify genetic variants associated with human cortical structure at both global and regional levels, we conducted a genome-wide association meta-analysis of brain MRI data from 51,665 individuals across 60 cohorts. We analyzed the surface area and average thickness of the whole cortex and 34 cortical regions with known functional specializations. RESULTS We identified 369 nominally genome-wide significant loci ( P < 5 × 10 −8 ) associated with cortical structure in a discovery sample of 33,992 participants of European ancestry. Of the 360 loci for which replication data were available, 241 loci influencing surface area and 66 influencing thickness remained significant after replication, with 237 loci passing multiple testing correction ( P < 8.3 × 10 −10 ; 187 influencing surface area and 50 influencing thickness). Common genetic variants explained 34% (SE = 3%) of the variation in total surface area and 26% (SE = 2%) in average thickness; surface area and thickness showed a negative genetic correlation ( r G = −0.32, SE = 0.05, P = 6.5 × 10 −12 ), which suggests that genetic influences have opposing effects on surface area and thickness. Bioinformatic analyses showed that total surface area is influenced by genetic variants that alter gene regulatory activity in neural progenitor cells during fetal development. By contrast, average thickness is influenced by active regulatory elements in adult brain samples, which may reflect processes that occur after mid-fetal development, such as myelination, branching, or pruning. When considered together, these results support the radial unit hypothesis that different developmental mechanisms promote surface area expansion and increases in thickness. To identify specific genetic influences on individual cortical regions, we controlled for global measures (total surface area or average thickness) in the regional analyses. After multiple testing correction, we identified 175 loci that influence regional surface area and 46 that influence regional thickness. Loci that affect regional surface area cluster near genes involved in the Wnt signaling pathway, which is known to influence areal identity. We observed significant positive genetic correlations and evidence of bidirectional causation of total surface area with both general cognitive functioning and educational attainment. We found additional positive genetic correlations between total surface area and Parkinson’s disease but did not find evidence of causation. Negative genetic correlations were evident between total surface area and insomnia, attention deficit hyperactivity disorder, depressive symptoms, major depressive disorder, and neuroticism. CONCLUSION This large-scale collaborative work enhances our understanding of the genetic architecture of the human cerebral cortex and its regional patterning. The highly polygenic architecture of the cortex suggests that distinct genes are involved in the development of specific cortical areas. Moreover, we find evidence that brain structure is a key phenotype along the causal pathway that leads from genetic variation to differences in general cognitive function. Identifying genetic influences on human cortical structure. ( A ) Measurement of cortical surface area and thickness from MRI. ( B ) Genomic locations of common genetic variants that influence global and regional cortical structure. ( C ) Our results support the radial unit hypothesis that the expansion of cortical surface area is driven by proliferating neural progenitor cells. ( D ) Cortical surface area shows genetic correlation with psychiatric and cognitive traits. Error bars indicate SE. IMAGE CREDITS: (A) K. COURTNEY; (C) M. R. GLASS

Background Changes in white matter microstructural integrity are detectable before appearance of white matter lesions on magnetic resonance imaging as a manifestation of cerebral small‐vessel disease. The information relating poor white matter microstructural integrity to aortic stiffness, a hallmark of aging, is limited. We aimed to examine the association between aortic stiffness and white matter microstructural integrity among older adults. Methods and Results We conducted a cross‐sectional study to examine the association between aortic stiffness and white matter microstructural integrity among 1484 men and women (mean age, 76 years) at the 2011 to 2013 examination of the ARIC‐NCS (Atherosclerosis Risk in Communities Neurocognitive Study). Aortic stiffness was measured as carotid‐femoral pulse wave velocity. Cerebral white matter microstructural integrity was measured as fractional anisotropy and mean diffusivity using diffusion tensor imaging. Multivariable linear regression was used to examine the associations of carotid‐femoral pulse wave velocity with fractional anisotropy and mean diffusivity of the overall cerebrum and at regions of interest. Each 1‐m/s higher carotid‐femoral pulse wave velocity was associated with lower overall fractional anisotropy (β=−0.03; 95% CI , −0.05 to −0.02) and higher overall mean diffusivity (β=0.03; 95% CI , 0.02–0.04). High carotid‐femoral pulse wave velocity (upper 25th percentile) was associated with lower fractional anisotropy (β=−0.40; 95% CI , −0.61 to −0.20) and higher overall mean diffusivity (β=0.27; 95% CI , 0.10–0.43). Similar associations were observed at individual regions of interest. Conclusions High aortic stiffness is associated with low cerebral white matter microstructural integrity among older adults. Aortic stiffness may serve as a target for the prevention of poor cerebral white matter microstructural integrity.

Introduction: Stiffening of the aorta is associated with greater pulse pressure and transmission of pulsatile energy into the cerebral circulation, which can increase susceptibility to microvascular damage in the brain. We tested the hypothesis that higher aortic stiffness measured in late-life is associated with a greater prevalence odds of dementia measured ~5 years later. Methods: Dementia-free ARIC-NCS participants (n=4753; mean age: 75 years; 42% male; 21% black) with measures of aortic stiffness at the visit 5 (2011-2013) examination were included. Aortic stiffness was measured by carotid-femoral pulse wave velocity (cfPWV) using the VP-1000 Plus device (Omron Co., Japan) and modeled as continuous (per standard deviation (SD)), categorical into distribution-based quartiles, and as elevated vs. non-elevated cfPWV according to the upper 25 th percentile (13.34 m/s). Cognitive status (normal/mild cognitive impairment (MCI)/dementia) was ascertained at the visit 5 and 6 (2016-2017) examinations with expert review by an adjudication committee of in-person cognitive testing. A multivariable logistic regression model estimated the adjusted association of cfPWV with 5-year odds of dementia. Results: Among dementia-free participants, a 1 SD higher cfPWV was associated with a greater odds of dementia (Odds Ratio (OR): 1.19 (95% Confidence Interval (CI): 1.03, 1.39). Elevated cfPWV (upper 25 th percentile) was also associated with a greater odds of dementia (OR: 1.54, 95% CI: 1.08, 2.19) in this sample. This association was stronger among participants who were cognitively normal at visit 5 (n=3758, Table): the multivariable-adjusted OR of dementia = 2.16 (95% CI: 1.35, 3.47) for elevated vs. non-elevated cfPWV. The risk of dementia among those with baseline MCI (n=955) was not associated with cfPWV levels. Results were robust to adjustment for vascular risk factors. Conclusions: Among older adults, especially when MCI is not present, greater central aortic stiffness is associated with dementia risk.

Introduction: Low levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) among older adults are associated with mortality, and reportedly with lower cognitive performance, biomarkers of neurodegeneration, and dementia. We tested the associations of liver enzymes with cognition in ARIC-NCS. Methods: We studied 3191 participants (mean age 79 years, 59% female, 23% black) free of chronic liver disease and cirrhosis, and with AST:ALT ratio ≤2 at visit in 2016-2017. Serum ALT and AST were examined continuously and by quintiles, with the 3 rd quintile as the distribution-based modal reference range. Cognitive status (normal, mild cognitive impairment [MCI], dementia) was ascertained by an expert adjudication panel. A composite global cognition score was estimated from memory, executive function, and language tests. We used demographic and ApoE4 adjusted multinomial logistic and linear regressions. Results: Participants were classified as cognitively unimpaired (2375), MCI (602) or dementia (214). Lower levels of ALT and AST, and a higher AST:ALT ratio were associated with higher prevalence of dementia and lower global cognition scores ( Figure ). The prevalence odds ratio of dementia and MCI for the 1 st quintile, vs 3 rd quintile of ALT, were 1.73 (95% CI:1.06-2.81) and 1.27 (0.92-1.76), respectively. The corresponding estimates for AST were 1.71 (1.03-2.84) and 1.17 (0.87-1.59). Global cognition scores were lower in the 1 st vs 3 rd quintiles of ALT and AST by 0.13 (0.06-0.21) and 0.08 (0-0.15) standard deviation units, respectively. Additional adjustment for alcohol intake did not change the results. Conclusions: Liver hypometabolism is linked to reduced brain glucose metabolism, impaired production of neurotransmitters and synaptic maintenance, systemic insulin resistance and inflammation, while hepatic metabolite profiles are altered in dementia. Prospective assessments are warranted to characterize the role of hepatic metabolic dysfunction in cognitive impairment among older adults.

Background: Atrial fibrillation (AF) is a risk factor for cognitive decline, perhaps due to silent cerebral infarction, but it is unknown if it also acts on Alzheimer’s Disease (AD)-specific mechanisms, such as deposition of β-amyloid (Aβ). Left atrial changes in structure or function, or atrial cardiopathy, can lead to AF but may cause infarcts independently, and thus might also impact cognition. We hypothesize that Aβ is associated with AF and atrial cardiopathy, independent of AF, when defined similarly to an ongoing clinical trial (ARCADIA). Methods: 321 participants without dementia from the Atherosclerosis Risk in Communities study underwent florbetapir (FBP) PET, electrocardiogram and 2D echocardiography. Atrial cardiopathy was defined as ≥1 of: 1) left atrial volume index (LAVI) >34 ml/m2; 2) P-wave terminal force >5000 uV x ms and 3) serum NT proBNP>250 pg/mL. Cross-sectional associations between global cortical Aβ (>1.2 standardized uptake value ratio (SUVR)) and adjudicated history of atrial fibrillation and atrial cardiopathy, each, were evaluated using multivariable logistic regression. Results: Participants, with mean age 76 y, were 56% female and 42% black. Odds of elevated FBP SUVR was increased for those with atrial cardiopathy (Model 3) and nearly doubled among those with enlarged LAVI that remained significant after sequential adjustment, including AF (Table). There was no significant association between either P-wave terminal force or NT proBNP and elevated FBP SUVR (Table), nor between elevated SUVR and AF. Conclusions: In this cross-sectional analysis of a cohort of healthy, nondemented community-dwelling older individuals, we report a significant association between atrial cardiopathy as well as LAVI and elevated amyloid, by PET, without a similar association in individuals with AF. Potential limitations include reverse causation and survival bias. Ongoing work will help determine if changes in cardiac structure and function precede, or occur simultaneously with amyloid deposition.

Background: Cerebrovascular disease is often the consequence of cardiac disease. Our aim was to examine associations of biomarkers of cardiovascular disease, high sensitivity troponin T (hs-cTnT), NT-proBNP, and galectin-3, with cerebrovascular signs: lacunar infarcts, lobar and subcortical microhemorrhages, cortical infarcts, and white matter hyperintensity (WMH) volume. We also examined total cortical and Alzheimer’s Disease (AD) signature region volumes. Methods: We conducted a cross-sectional analysis of 1748 ARIC participants from the 2011-2013 exam who had biomarker measurements, completed a brain MRI, and did not have a clinical history of stroke. We used linear regression to model brain volumes, modeled as Z scores, and logistic regression for all other outcomes; biomarkers were log transformed. We repeated analyses excluding persons with coronary heart disease, atrial fibrillation, and heart failure. Results: The mean age of participants was 76, 62% were female, and 21% were Black. All biomarkers were associated with total cortical volume. Each standard deviation increase in log hs-cTnT was associated with lower total cortical volume (adjusted beta = -0.08, 95% CI: -0.12, -0.05); results for the other biomarkers were similar (Figure). All biomarkers were associated with lobar microhemorrhages. Hs-cTnT and NT-proBNP were associated with WMH volume, but galectin-3 was not. No biomarker was associated with subcortical microhemorrhages or cortical infarcts. Results were similar in persons without coronary heart disease, atrial fibrillation, or heart failure (conditions associated with cerebral thromboembolism). Conclusions: In persons free of clinical cardiovascular disease, biomarkers of cardiac stretch, strain, and fibrosis were associated cerebral small vessel disease and reduced cortical volume, but not in a specific pattern suggestive of AD pathogenesis. This suggests subclinical vascular insults affect brain structure through mixed pathogenic processes.

Introduction: Cerebrovascular small vessel disease, seen on brain imaging as lacunes and white matter hyperintensities (WMH), is a substrate for dementia in older adults. Diffusion tensor imaging (DTI) is thought to provide early signs of loss of white matter (WM) integrity due to microvascular disease and predicts WM hyperintensity volume. Retinal fundus photography provides surrogate measures of cerebral microvasculature. No studies have quantified the long-term association between retinal signs and DTI measures. Hypothesis: Microvascular retinal signs measured in midlife are associated with small vessel disease measured on brain magnetic resonance imaging (MRI) 18 years later, including reduced WM microstructural integrity (lower fractional anisotrophy [FA] and greater mean diffusivity [MD] by DTI), greater WM hyperintensity volume and greater lacune prevalence. Methods: In a biracial prospective cohort study, retinal signs were measured using fundus photography (1993-1995) with 3-T magnetic resonance imaging conducted in 2011-13. Multivariable-adjusted linear regression was used to quantify the relationships of retinal signs with WM measures. Prevalence of lacunar infarcts by retinal sign status was estimated using log binomial regression. Analyses were adjusted for age [linear and quadratic terms], education, sex, race, intracranial volume, body mass index, smoking, diabetes, hypertension, and ≥1 APOE ε4 alleles. Results: In 1829 men and women (60% [N=1100] female, 27% [N=489] black race, aged 50-72 years when retinal signs were measured), a binary measure comprised of two retinal signs suggestive of arteriolar damage due to hypertension (focal arteriolar narrowing and/or arteriovenous nicking) was associated with worse (lower) FA (standardized β=-0.19, 95% confidence interval [CI]=-0.35, -0.02), worse (higher) MD (β=0.15, 95% CI=0.00, 0.30), greater WM hyperintensity volume (β=0.15, 95% CI=0.01, 0.30), and greater prevalence of lacunes (prevalence ratio=1.33, 95% CI: 0.99, 1.80). Generalized arteriolar narrowing, measured as the central retinal arteriolar equivalent (CRAE, narrowest quartile vs. widest three quartiles) was associated with worse FA (β=-0.13, 95% CI=-0.24, -0.01) and worse MD (β=0.12, 95% CI=0.01, 0.23). Results did not differ by sex, race, hypertension status or APOE ε4 genotype. No associations were found for retinopathy, but only 56 participants had retinopathy. Conclusions: Consistent with prior work, and as expected based on a common underlying pathology, retinal signs predicted WM disease and lacunar infarcts 18 years later. Novel to this study, we found that retinal signs related to arteriolar damage also predicted loss of white matter microvascular integrity measured using DTI.