Citations

Introduction: Left atrial enlargement (LAE) is associated with atrial fibrillation, a frequent cause of large vessel occlusion (LVO) leading to ischemic stroke. Leptomeningeal collaterals protect tissue from ischemia, but the association between collaterals and structural heart disease is not well described. We aim to investigate the association between LAE and cerebral collaterals during acute LVO when microvasculature, vasodilation, and chronotropic competence are critically important. Hypothesis: Left atrial enlargement is associated with poor collaterals. Methods: We reviewed consecutive patients presenting with middle cerebral and internal carotid LVO who underwent thrombectomy from 2012 to 2017. Patients with CT angiogram of the head and echocardiogram were included. Poor collaterals were defined as ≤ 50% filling on CT angiogram. LAE was defined as left atrial volume index ≥ 35 mL/m 2 . Multivariate logistic regression analysis was performed to evaluate the relationship between LAE and poor collaterals with adjustment for age and hypertension. Results: There were 128 eligible patients. The mean age was 68± 15 years, median NIHSS was 17, and 51 (39.8%) had LAE. Baseline characteristics are described in the table. Poor collaterals were observed in 50 (39%) patients. Patients with LAE were more likely to have poor collaterals compared to those with normal left atrial size (52.9% vs. 29.9%, p=0.009). After adjusting for age and hypertension, a trend towards association remained (OR 2.00, p=0.089). Conclusion: Our results indicate that patients with LVO and LAE were more likely to have poor collaterals. Further research is warranted to determine the cause of the association. One possibility is shared pathophysiology affecting both cardiac and cerebral vasculature such as microvascular disease or endothelial dysfunction. Alternatively, structural heart disease causing chronotropic incompetence may lead to poor collateral filling.

Background: Perfusion weighted imaging on MRI (MRP) and computerized tomography perfusion (CTP) are increasingly required to manage large vessel disease. Computerized algorithms can quantify perfusion data, but the programs are expensive and not widely used outside acute stroke evaluation. We aimed to determine how well human observers can identify asymmetries in cerebral perfusion images compared with an automated computer algorithm. Methods: Ten clinicians experienced in treating carotid artery disease (4 vascular neurologists, 3 neuroradiologists, 1 vascular surgeon, 1 neurosurgeon, 1 interventional radiologist) were given 28 post-processed, color-coded, axial-slice MRP scans from patients in the Carotid Revascularization Endovascular versus Stenting Trial - Hemodynamics (CREST-H) study. All patients had >70%, unilateral, asymptomatic carotid artery stenosis and had varying degrees of time-to-peak (TTP) delay on the side of stenosis, ranging from 0 to 2 secs, quantified by a semi-automated system that computes quantitative perfusion maps, using deconvolution of tissue and arterial signals (Olea, Cambridge, MA). A minimum volume of 10cc was required for a given TTP delay. Clinicians were asked to determine asymmetry (y/n) and side of occlusion for each case. Number of correct responses that matched the computer output were tallied. Results: We averaged correct responses by the 10 clinicians for cases at each increment of TTP delay; (Figure). At TTP delays ≥1.5 seconds, accuracy was ≥80%. At 1.25 sec accuracy fell to 60%, and at ≤ 1 sec, accuracy was ≤50%. For TTP=0 (no asymmetry), accuracy was 71%. Conclusions: Visual impression of hemodynamic asymmetry among experienced clinicians was reasonably accurate for TTP delays ≥1.5 seconds, but declined with more subtle asymmetries. Depending on the clinical impact of TTP delays (for CREST-H: correlation with cognitive decline), experienced clinicians may perform as well as an automated algorithm.

TAR DNA‐binding protein of 43 kDa (TDP‐43) is a nuclear protein involved in transcriptional repression and alternative splicing. It has been shown to be a component of ubiquitin‐positive, tau‐ and á‐synuclein‐negative inclusions in neuronal soma and nuclei as well as neurites of frontotemporal lobar degeneration (FTLD‐U) and in motor neurons of amyotrophic lateral sclerosis (ALS). Recently, it has been co‐localized with Lewy bodies in Lewy body disease (LBD). In this study we use immunogold electron microscopy to study the ultrastructural features of TDP‐43‐labeled structures. The results showed that in all FTLD‐U, ALS and LBD, TDP‐43 was localized to filaments coated with granular material. Both coated and uncoated regions of the filaments were labeled. In FTLD‐U a subset of neurites filled with densely packed filaments were also labeled. The filaments have a diameter of 10–17 nm. Neurofilament and glial filaments were not labeled by TDP‐43. The data suggests that TDP‐43 is a constituent protein in filamentous inclusions in neurodegenerative diseases. Supported by NIH grant AG17216.

High‐fat diets induce changes in the gut microbiome and induce nonalcoholic fatty liver disease. This study tested the hypothesis that high‐fat feeding increases certain predominant hind gut bacteria in a C57BL/6 mouse model of obesity. We found that a high‐fat diet produced significant increases in both body weight and body fat percentage in C57BL/6 mice compared with a control group fed a low‐fat diet. With an immunohistochemical approach, we found that these changes were associated with increases in lipid droplets, inflammatory cell infiltration and inducible nitric oxide synthase (iNOS) level in the livers of mice fed the high‐fat diet. In addition, plasma leptin and tumor necrosis factor (TNFα) levels were elevated in mice fed the high‐fat diet, indicative of chronic inflammation. Eight out of twelve bacterial species that typically predominate hind gut microbial ecology were detected in fecal samples by DNA analysis. The DNA amount of one of these species, Lactobacillus (L.) acidophilus , was 6900‐fold greater in high‐fat fed mice compared to controls. L. acidophilus can promote inflammatory production of cytokines such as TNFα, which was also elevated in high‐fat fed mice. These results suggest that changes in the hindgut microbiome which accompany high fat feeding may contribute to the development of steatohepatitis in obese mice.

Background and purpose Deep brain stimulation of the thalamus is an effective treatment for multiple neurological disorders. The centromedian and parafascicular nuclei are recently emerging targets for multiple conditions, such as epilepsy and Tourette syndrome; however, their limited visibility on conventional magnetic resonance imaging sequences has been a major obstacle. The goal of this study was to demonstrate the feasibility of a high-resolution and high-contrast targeting sequence for centromedian-parafascicular deep brain stimulation using a recently described magnetic resonance imaging sequence, three-dimensional edge-enhancing gradient echo. Methods The three-dimensional edge-enhancing gradient echo sequence was performed on a normal volunteer for a total of six acquisitions. Multi-image co-registration and averaging was performed by first co-registering each of the six scans and then averaging to produce an edge-enhancing gradient echo-multi-image co-registration and averaging scan. The averaging was also performed for two, three, four and five scans to assess the change in the signal-to-noise ratio and identify the ideal balance of image quality and scan time. Results The edge-enhancing gradient echo-multi-image co-registration and averaging scan allowed clear boundary delineation of the centromedian and parafascicular nuclei. The signal-to-noise ratio increased as a function of increasing scan number, but the added gain was small beyond four scans for the imaging parameters used in this study. Conclusions The recently described three-dimensional edge-enhancing gradient echo sequence provides an easily implementable approach, using widely available magnetic resonance imaging technology without complex post-processing techniques, to delineate centromedian and parafascicular nuclei for deep brain stimulation targeting.

Abstract Background Smoking is associated with colorectal cancer (CRC) risk. Previous studies suggested this association may be restricted to certain molecular subtypes of CRC, but large-scale comprehensive analysis is lacking. Methods A total of 9789 CRC cases and 11 231 controls of European ancestry from 11 observational studies were included. We harmonized smoking variables across studies and derived sex study–specific quartiles of pack-years of smoking for analysis. Four somatic colorectal tumor markers were assessed individually and in combination, including BRAF mutation, KRAS mutation, CpG island methylator phenotype (CIMP), and microsatellite instability (MSI) status. A multinomial logistic regression analysis was used to assess the association between smoking and risk of CRC subtypes by molecular characteristics, adjusting for age, sex, and study. All statistical tests were 2-sided and adjusted for Bonferroni correction. Results Heavier smoking was associated with higher risk of CRC overall and stratified by individual markers (Ptrend < .001). The associations differed statistically significantly between all molecular subtypes, which was the most statistically significant for CIMP and BRAF. Compared with never-smokers, smokers in the fourth quartile of pack-years had a 90% higher risk of CIMP-positive CRC (odds ratio = 1.90, 95% confidence interval = 1.60 to 2.26) but only 35% higher risk for CIMP-negative CRC (odds ratio = 1.35, 95% confidence interval = 1.22 to 1.49; Pdifference = 2.1 x 10-6). The association was also stronger in tumors that were CIMP positive, MSI high, or KRAS wild type when combined (Pdifference < .001). Conclusion Smoking was associated with differential risk of CRC subtypes defined by molecular characteristics. Heavier smokers had particularly higher risk of CRC subtypes that were CIMP positive and MSI high in combination, suggesting that smoking may be involved in the development of colorectal tumors via the serrated pathway.

Abstract Objectives To demonstrate clinicopathologic features and evaluate the clonality of double PIK3CA alterations in colorectal cancers (CRCs). Methods Clonality was examined in 13 CRCs with double PIK3CA alterations (1.7% of CRCs or 9.6% of PIK3CA-mutated CRCs). Multiregional analyses were performed to confirm subclonal PIK3CA alterations. Results PIK3CA alterations were detected within exon 9 (51%), exon 20 (23%), exon 1 (15%), and exon 7 (6.0%). CRCs with exon 7 alterations showed a significantly higher incidence of double PIK3CA alterations. Most double PIK3CA alterations consisted of a hotpsot alteration and an uncommon alteration; they were often clonal and present within a single tumor population. Multiregional analyses of CRCs with predicted subclonal double-alterations revealed multiclonal CRCs with divergent PIK3CA variant status originating from a common APC- and KRAS-mutated founder lineage of adenoma. Conclusions The findings supported multiclonal CRCs resulting from parallel evolution during the progression from adenoma to adenocarcinoma within the mitogen-activated protein kinase pathway, as previously demonstrated, or the mammalian target of rapamycin pathway. Further studies are warranted to elucidate clinical significance and potential targeted therapy for CRC patients with double PIK3CA alterations and impacts on clinical decision-making in patients with multiclonal CRCs harboring divergent PIK3CA mutational status.

Abstract Microglia have fundamental roles in health and disease, however effects of age, sex and genetic factors on human microglia have not been fully explored. We applied bulk and single cell approaches to comprehensively characterize human microglia transcriptomes and their associations with age, sex and APOE . We identified a novel microglial signature, characterized its expression in bulk data from 1,306 brain samples across 6 regions and in single cell microglia transcriptome. We discovered microglial co-expression network modules associated with age, sex and APOE -ε4 that are enriched for lipid and carbohydrate metabolism genes. Integrated analyses of modules with single cell transcriptomes revealed significant overlap between age-associated module genes and both pro-inflammatory and disease-associated microglial clusters. These modules and clusters harbor known neurodegenerative disease genes including APOE, PLCG2 and BIN1 . These data represent a well-characterized human microglial transcriptome resource; and highlight age, sex and APOE -related microglial immunometabolism perturbations with potential relevance in neurodegeneration.