Citations

ObjectiveApolipoprotein E (apoE), a major cholesterol carrier in the brain, is associated with a strong risk for Alzheimer disease. Compared to the risky APOE4 gene allele, the effects of the protective APOE2 gene allele are vastly understudied, and thus need to be further clarified.MethodsWe reviewed National Alzheimer's Coordinating Center clinical records and performed preclinical experiments using human apoE‐targeted replacement (apoE‐TR) mice, which do not show amyloid pathology.ResultsClinically, the APOE2 allele was associated with less cognitive decline during aging. This effect was also seen in subjects with little amyloid pathology, or after adjusting for Alzheimer disease‐related pathologies. In animal studies, aged apoE2‐TR mice also exhibited preserved memory function in water maze tests. Regardless, apoE2‐TR mice showed similar or greater age‐related changes in synaptic loss, neuroinflammation, and oxidative stress compared to apoE3‐TR or apoE4‐TR mice. Interestingly, apoE concentrations in the cortex, hippocampus, plasma, and cerebrospinal fluid (CSF) were positively correlated with memory performance across apoE isoforms, where apoE2‐TR mice had higher apoE levels. Moreover, apoE2‐TR mice exhibited the lowest levels of cholesterol in the cortex, despite higher levels in CSF and plasma. These cholesterol levels were associated with apoE levels and memory performance across apoE isoforms.InterpretationAPOE2 is associated with less cognitive decline during aging. This can occur independently of age‐related synaptic/neuroinflammatory changes and amyloid accumulation. Higher levels of apoE and associated cholesterol metabolism in APOE2 carriers might contribute to this protective effect. Ann Neurol 2016;79:758–774

Incorporation of IL-15 into a bispecific antibody recognizing CD16 and CD33 boosted natural killer cells’ survival and activity against acute myeloid leukemia.

AbstractAutomated methods are needed to facilitate high‐throughput and reproducible scoring of Ki67 and other markers in breast cancer tissue microarrays (TMAs) in large‐scale studies. To address this need, we developed an automated protocol for Ki67 scoring and evaluated its performance in studies from the Breast Cancer Association Consortium. We utilized 166 TMAs containing 16,953 tumour cores representing 9,059 breast cancer cases, from 13 studies, with information on other clinical and pathological characteristics. TMAs were stained for Ki67 using standard immunohistochemical procedures, and scanned and digitized using the Ariol system. An automated algorithm was developed for the scoring of Ki67, and scores were compared to computer assisted visual (CAV) scores in a subset of 15 TMAs in a training set. We also assessed the correlation between automated Ki67 scores and other clinical and pathological characteristics. Overall, we observed good discriminatory accuracy (AUC = 85%) and good agreement (kappa = 0.64) between the automated and CAV scoring methods in the training set. The performance of the automated method varied by TMA (kappa range= 0.37–0.87) and study (kappa range = 0.39–0.69). The automated method performed better in satisfactory cores (kappa = 0.68) than suboptimal (kappa = 0.51) cores (p‐value for comparison = 0.005); and among cores with higher total nuclei counted by the machine (4,000–4,500 cells: kappa = 0.78) than those with lower counts (50–500 cells: kappa = 0.41; p‐value = 0.010). Among the 9,059 cases in this study, the correlations between automated Ki67 and clinical and pathological characteristics were found to be in the expected directions. Our findings indicate that automated scoring of Ki67 can be an efficient method to obtain good quality data across large numbers of TMAs from multicentre studies. However, robust algorithm development and rigorous pre‐ and post‐analytical quality control procedures are necessary in order to ensure satisfactory performance.

AbstractObjective:To develop clinical practice guidelines for the management of patients with primary aldosteronism.Participants:The Task Force included a chair, selected by the Clinical Guidelines Subcommittee of the Endocrine Society, six additional experts, a methodologist, and a medical writer. The guideline was cosponsored by American Heart Association, American Association of Endocrine Surgeons, European Society of Endocrinology, European Society of Hypertension, International Association of Endocrine Surgeons, International Society of Endocrinology, International Society of Hypertension, Japan Endocrine Society, and The Japanese Society of Hypertension. The Task Force received no corporate funding or remuneration.Evidence:We searched for systematic reviews and primary studies to formulate the key treatment and prevention recommendations. We used the Grading of Recommendations, Assessment, Development, and Evaluation group criteria to describe both the quality of evidence and the strength of recommendations. We used “recommend” for strong recommendations and “suggest” for weak recommendations.Consensus Process:We achieved consensus by collecting the best available evidence and conducting one group meeting, several conference calls, and multiple e-mail communications. With the help of a medical writer, the Endocrine Society's Clinical Guidelines Subcommittee, Clinical Affairs Core Committee, and Council successfully reviewed the drafts prepared by the Task Force. We placed the version approved by the Clinical Guidelines Subcommittee and Clinical Affairs Core Committee on the Endocrine Society's website for comments by members. At each stage of review, the Task Force received written comments and incorporated necessary changes.Conclusions:For high-risk groups of hypertensive patients and those with hypokalemia, we recommend case detection of primary aldosteronism by determining the aldosterone-renin ratio under standard conditions and recommend that a commonly used confirmatory test should confirm/exclude the condition. We recommend that all patients with primary aldosteronism undergo adrenal computed tomography as the initial study in subtype testing and to exclude adrenocortical carcinoma. We recommend that an experienced radiologist should establish/exclude unilateral primary aldosteronism using bilateral adrenal venous sampling, and if confirmed, this should optimally be treated by laparoscopic adrenalectomy. We recommend that patients with bilateral adrenal hyperplasia or those unsuitable for surgery should be treated primarily with a mineralocorticoid receptor antagonist.

Abstract Rationale Respiratory failure represents a major risk for morbidity and mortality. Although generally managed in the intensive care unit (ICU), respiratory failure often begins elsewhere. Checklists of care processes to minimize the duration of mechanical ventilation and adverse events are routinely used in the ICU, but are uncommonly used outside the ICU. Objectives To develop consensus among a multidisciplinary expert panel on care practices to include in a checklist of best practices for critically ill patients with respiratory failure before and after ICU admission. Methods A multidisciplinary expert panel was assembled. The panel was tasked with creating a checklist of care processes aimed at decreasing progression to respiratory failure, duration of mechanical ventilation, mortality in mechanical ventilation, and adverse events. Over the course of multiple teleconferences and e-mail communications, the Prevention of Organ Failure Checklist list was reviewed, refined, and voted upon. Items that received greater than 75% of the vote were included in the final checklist. Measurements and Main Results: Using a modified Delphi process, the expert panel was able to compile Prevention of Organ Failure Checklist into 20 items that aimed to decrease mechanical ventilation by assessing the causes of acute respiratory failure, ventilation strategies, sedation, and general critical care processes, as well as to avoid unwanted or nonbeneficial interventions. Conclusions The modified Delphi process identified readily available preventative interventions suitable for checklist implementation in patients with or progressing to respiratory failure even before ICU admission.

ObjectivesBipolar disorder (BD) is a complex disease associated with various hereditary traits, including a higher body mass index (BMI). In a prior genome‐wide association study, we found that BMI modified the association of rs12772424 – a common variant in the gene encoding transcription factor 7‐like 2 (TCF7L2) – with risk for BD. TCF7L2 is a transcription factor in the canonical Wnt pathway, involved in multiple disorders, including diabetes, cancer and psychiatric conditions. Here, using an independent sample, we evaluated 26 TCF7L2 single nucleotide polymorphisms (SNPs) to explore further the association of BD with the TCF7L2–BMI interaction.MethodsUsing a sample of 662 BD cases and 616 controls, we conducted SNP‐level and gene‐level tests to assess the evidence for an association between BD and the interaction of BMI and genetic variation in TCF7L2. We also explored the potential mechanism behind the detected associations using human brain expression quantitative trait loci (eQTL) analysis.ResultsThe analysis provided independent evidence of an rs12772424–BMI interaction (p = 0.011). Furthermore, while overall there was no evidence for SNP marginal effects on BD, the TCF7L2–BMI interaction was significant at the gene level (p = 0.042), with seven of the 26 SNPs showing SNP–BMI interaction effects with p < 0.05. The strongest evidence of interaction was observed for rs7895307 (p = 0.006). TCF7L2 expression showed a significant enrichment of association with the expression of other genes in the Wnt canonical pathway.ConclusionsThe current study provides further evidence suggesting that TCF7L2 involvement in BD risk may be regulated by BMI. Detailed, prospective assessment of BMI, comorbidity, and other possible contributing factors is necessary to explain fully the mechanisms underlying this association.

AbstractIntroductionThe clinical and pathological phenotypes of Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) often overlap. We examined whether plasma lipids differed among individuals with autopsy‐confirmed Lewy Body pathology or AD pathology.MethodsWe identified four groups with available plasma 2 years before death: high (n = 12) and intermediate‐likelihood DLB (n = 14) based on the third report of the DLB consortium; dementia with Alzheimer's pathology (AD; n = 18); and cognitively normal with normal aging pathology (n = 21). Lipids were measured using ESI/MS/MS.ResultsThere were overall group differences in plasma ceramides C16:0, C18:1, C20:0, and C24:1 and monohexosylceramides C18:1 and C24:1. These lipids did not differ between the high‐likelihood DLB and AD groups, but both groups had higher levels than normals. Plasma fatty acid levels did not differ by group.DiscussionPlasma ceramides and monohexosylceramides are elevated in people with dementia with either high‐likelihood DLB or AD pathology.