Citations

Background and Purpose: Periventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. In the first study, to date, we undertook genome-wide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings. Methods: Participants were aged 45 years and older, free of stroke and dementia. We conducted genome-wide association analyses of PVWMH and DWMH in 26,654 participants from CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology), ENIGMA (Enhancing Neuro-Imaging Genetics Through Meta-Analysis), and the UKB (UK Biobank). Regional correlations were investigated using the genome-wide association analyses -pairwise method. Cross-trait genetic correlations between PVWMH, DWMH, stroke, and dementia were estimated using LDSC. Results: In the discovery and replication analysis, for PVWMH only, we found associations on chromosomes 2 ( NBEAL ), 10q23.1 ( TSPAN14/FAM231A ), and 10q24.33 ( SH3PXD2A). In the much larger combined meta-analysis of all cohorts, we identified ten significant regions for PVWMH: chromosomes 2 (3 regions), 6, 7, 10 (2 regions), 13, 16, and 17q23.1. New loci of interest include 7q36.1 ( NOS3 ) and 16q24.2. In both the discovery/replication and combined analysis, we found genome-wide significant associations for the 17q25.1 locus for both DWMH and PVWMH. Using gene-based association analysis, 19 genes across all regions were identified for PVWMH only, including the new genes: CALCRL (2q32.1), KLHL24 (3q27.1), VCAN (5q27.1), and POLR2F (22q13.1). Thirteen genes in the 17q25.1 locus were significant for both phenotypes. More extensive genetic correlations were observed for PVWMH with small vessel ischemic stroke. There were no associations with dementia for either phenotype. Conclusions: Our study confirms these phenotypes have distinct and also shared genetic architectures. Genetic analyses indicated PVWMH was more associated with ischemic stroke whilst DWMH loci were implicated in vascular, astrocyte, and neuronal function. Our study confirms these phenotypes are distinct neuroimaging classifications and identifies new candidate genes associated with PVWMH only.

Whole-genome sequencing (WGS) is now routinely performed in clinical microbiology laboratories to assess isolate relatedness. With appropriately developed analytics, the same data can be used for prediction of antimicrobial susceptibility. We assessed WGS data for identification using open-source tools and antibiotic susceptibility testing (AST) prediction using ARESdb compared to matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) identification and broth microdilution phenotypic susceptibility testing on clinical isolates from a multicenter clinical trial of the FDA-cleared Unyvero lower respiratory tract infection (LRTI) application (Curetis).

AbstractAggressive morphologic variants of mantle cell lymphoma (MCL), including blastoid and pleomorphic (B/P‐MCL), are rare and associated with poor clinical outcomes. The genomic landscape of these variants remains incompletely explored. In this multi‐institutional study, we describe recurrent mutations and novel genomic copy number alterations (CNAs) in B/P‐MCL, using next generation sequencing and SNP‐array. Chromothripsis, a recently described phenomenon of massive chromosomal rearrangements, was identified in eight of 13 (62%) B/P MCL cases, and a high degree of genomic complexity with frequent copy number gains and losses was also seen. In contrast, a comparative cohort of nine cases of conventional MCL (C‐MCL) showed no chromothripsis and less complexity. Twelve of 13 (92%) B/P‐MCL cases showed loss of CDKN2A/B (6 biallelic and 6 monoallelic losses); while only one C‐MCL showed monoallelic CDKN2A/B loss. In B/P‐MCL, TP53 was the most commonly mutated gene, with mutations present in eight cases (62%), six of which showed concurrent loss of chromosome 17p. Of the eight cases with chromothripsis, six (85%) harbored TP53 mutations. Other recurrent mutations in B/P‐MCL included ATM (7, 53%), CCND1 (5, 38%), NOTCH1 (2, 18%), NOTCH2, and BIRC3 (each in 3, 23%). Here, we describe high genomic instability associated with chromothripsis and a high frequency of CDKN2A/B and TP53 alterations in the aggressive variants of MCL. The nonrandom chromothripsis events observed in B/P‐MCL may be an indicator of clinically aggressive MCL. In addition, frequent CDKN2A deletion and high genomic instability may provide potential targets for alternative treatment.

AbstractThe scope of pharmacy practice in global health has expanded over the past decade creating additional education and training opportunities for students, residents and pharmacists. There has also been a shift from short‐term educational and clinical experiences to more sustainable bidirectional partnerships between high‐income countries (HICs) and low‐ to middle‐income countries (LMICs). As more institutional and individual partnerships between HICs and LMICs begin to form, it is clear that there is a lack of guidance for pharmacists on how to build meaningful, sustainable, and mutually beneficial programs. The aim of this paper is to provide guidance for pharmacists in HICs to make informed decisions on global health partnerships and identify opportunities for engagement in LMICs that yield mutually beneficial collaborations. This paper uses the foundations of global health principles to identify five pillars of global health engagement when developing partnerships: (a) sustainability, (b) shared leadership, (c) mutually beneficial partnerships, (d) local needs‐based care and (e) host‐driven experiential and didactic education. Finally, this paper highlights ways pharmacists can use the pillars as a framework to engage and support health care systems, collaborate with academic institutions, conduct research, and interface with governments to improve health policy.

Introduction: Long-term use of continuous-flow left ventricular assist devices may have negative consequences for autonomic, cardiovascular and gastrointestinal function. It has thus been suggested that non-invasive monitoring of arterial pulsatility in patients with a left ventricular assist device is highly important for ensuring patient safety and longevity. We have developed a novel, semi-automated frequency-domain-based index of arterial pulsatility that is obtained during suprasystolic occlusions of the upper arm: the ‘cuff pulsatility index’. Purpose: The purpose of this study was to evaluate the relationship between the cuff pulsatility index and invasively determined arterial pulsatility in patients with a left ventricular assist device. Methods: Twenty-three patients with a left ventricular assist device with end-stage heart failure (six females: age = 65 ± 9 years; body mass index = 30.5 ± 3.7 kg m −2 ) were recruited for this study. Suprasystolic occlusions were performed on the upper arm of the patient’s dominant side, from which the cuff pressure waveform was obtained. Arterial blood pressure was obtained from the radial artery on the contralateral arm. Measurements were obtained in triplicate. The relationship between the cuff pressure and arterial blood pressure waveforms was assessed in the frequency-domain using coherence analysis. A mixed-effects approach was used to assess the relationship between cuff pulsatility index and invasively determined arterial pulsatility (i.e. pulse pressure). Results: The cuff pressure and arterial blood pressure waveforms demonstrated a high coherence up to the fifth harmonic of the cardiac frequency (heart rate). The cuff pulsatility index accurately tracked changes in arterial pulse pressure within a given patient across repeated measurements. Conclusions: The cuff pulsatility index shows promise as a non-invasive index for monitoring residual arterial pulsatility in patients with a left ventricular assist device across time.

Cardiovascular diseases are one of most frequent cause of morbidity and mortality in the world. There is an emerging need for integrated, non-invasive, and easy-to-use clinical tools to assess accurately cardiovascular system primarily in the preventative medicine. We present a novel design for a non-invasive pulse wave velocity (PWV) assessment method integrated in a single brachial blood pressure monitor allowing for up to 100 times more sensitive recording of the pressure pulsations based on a brachial occlusion-cuff (suprasystolic) principle. The monitor prototype with built-in proprietary method was validated with a gold standard reference technique SphygmoCor VX device. The blood pressure and PWV were assessed on twenty-five healthy individuals (9 women, age (37 ± 13) years) in a supine position at rest by a brachial cuff blood pressure monitor prototype, and immediately re-tested using a gold standard method. PWV using our BP monitor was (6.67 ± 0.96) m/s compared to PWV determined by SphygmoCor VX (6.15 ± 1.01) m/s. The correlation between methods using a Pearson’s correlation coefficient was r = 0.88 (p < 0.001). The study demonstrates the feasibility of using a single brachial cuff build-in technique for the assessment of the arterial stiffness from a single ambulatory blood pressure assessment.

Abstract Background:All carcinomas contain a variable proportion of benign stromal and immune cells, limiting the sensitivity in the identification of somatic genetic alterations. The average tumor purity of squamous cell carcinomas (SCC) of the lung is only around 50%. Low tumor content in tumor samples represents a challenge in studying intratumoral genomic heterogeneity in cancer research. Here, we applied flow-sorting to enrich for tumor cell nuclei to investigate the clonal relationship of primary SCC and matched metastases. Methods:Tumor tissues from 16 patients with primary SCC of the lung and matched metastases were used. We implemented a flow-sorting based approach to enrich for tumor nuclei as followed: after extraction of nuclei from snap-frozen or FFPE tissue, they were flow-sorted by DNA content (ploidy) and cytokeratin expression of the adherent cytoplasm, using a pan-cytokeratin (pCK) antibody. Isolated diploid and aneuploid pCK-positive tumor cell populations were subjected to whole exome sequencing (WES). DNA from diploid pCK-negative populations was used as germline control. Mutational profile and copy number aberrations (CNA) were determined to infer the clonal relationship and evolution between the primary tumors and their metastases. Results:Our flow-sorting based approach was able to enrich tumor content from 20%-50% to more than 80%-90% and to distinguish between aneuploid and diploid tumor cell populations from bulk tumor tissues. It enabled the identification of somatic mutations and CNA in both, aneuploid and diploid tumor cell populations, including potential subclonal driver mutations in ARID1A and KDM6A at low allelic frequencies. Shared and private mutations were observed in matched longitudinal tumor samples of individual patients and in synchronous distant metastases. Ploidy did not change significantly between primary tumors and relapse or distant metastases. Conclusion:We present a flow-sorting based method to enrich for tumor cell nuclei to facilitate genomic analysis, which also enabled separate analysis of aneuploid and diploid tumor populations. Our results show that the enrichment approach can be used to decode the clonal evolutionary relationship between primary tumors and their matched metastases, even in samples with low tumor cell content. Citation Format: Arthur Krause, Maria R. De Filippo, Thomas Lorber, Tanja Dietsche, Valeria Perrina, Christian Ruiz, Michael T. Barrett, Salvatore Piscuoglio, Charlotte K. Ng, Lukas Bubendorf. Enriching tumor purity using a unique flow-sorting approach to elucidate clonal evolution in matched samples of squamous cell carcinoma of the lung [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4699.

AbstractAccurate pathologic diagnoses and molecularly informed treatment decisions for a wide variety of cancers depend on robust clinical molecular testing that uses genomic, epigenomic, and transcriptomic-based tools. Nowhere is this more essential than in the workup of brain tumors, as emphasized by the incorporation of molecular criteria into the 2016 World Health Organization classification of central nervous system tumors and the updated official guidelines of the National Comprehensive Cancer Network. Despite the medical necessity of molecular testing in brain tumors, access to and utilization of molecular diagnostics is still highly variable across institutions, and a lack of reimbursement for such testing remains a significant obstacle. The objectives of this review are (i) to identify barriers to adoption of molecular testing in brain tumors, (ii) to describe the current molecular tools recommended for the clinical evaluation of brain tumors, and (iii) to summarize how molecular data are interpreted to guide clinical care, so as to improve understanding and justification for their coverage in the routine workup of adult and pediatric brain tumor cases.