31 research outputs found

    Conflict Detection-Based Run-Length Encoding: AVX-512 CD Instruction Set in Action

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    Data as well as hardware characteristics are two key aspects for efficient data management. This holds in particular for the field of in-memory data processing. Aside from increasing main memory capacities, efficient in-memory processing benefits from novel processing concepts based on lightweight compressed data. Thus, an active research field deals with the adaptation of new hardware features such as vectorization using SIMD instructions to speedup lightweight data compression algorithms. Following this trend, we propose a novel approach for run-length encoding, a well-known and often applied lightweight compression technique. Our novel approach is based on newly introduced conflict detection (CD) instructions in Intel's AVX-512 instruction set extension. As we are going to show, our CD-based approach has unique properties and outperforms the state-of-the-art RLE approach for data sets with small run lengths

    Influence of head size on the development of metallic wear and on the characteristics of carbon layers in metal-on-metal hip joints

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    Background and purpose Particles originating from the articulating surfaces of hip endoprostheses often induce an inflammatory response, which can be related to implant failure. We therefore analyzed the metal content in capsular tissue from 44 McKee-Farrar metal-on-metal hip prostheses (with 3 different head sizes) and we also analyzed the morphological structure of layers located on articulating surfaces

    Stroke genetics informs drug discovery and risk prediction across ancestries

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    Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry(1,2). Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis(3), and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach(4), we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry(5). Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.</p

    Stroke genetics informs drug discovery and risk prediction across ancestries

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    Previous genome-wide association studies (GWASs) of stroke — the second leading cause of death worldwide — were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries

    2nd generation of the MUNICH hip-joint-simulator

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    Engineered Annexin A5 Variants Have Impaired Cell Entry for Molecular Imaging of Apoptosis Using Pretargeting Strategies

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    Phosphatidylserine (PS) on apoptotic cells is a target for diagnosis and therapy using annexin A5 (anxA5). Pretargeting is a strategy developed to improve signal to background ratio for molecular imaging and to minimize undesired side effects of pharmacological and radiotherapy. Pretargeting relies on accessibility of the target finder on the surface of the target cell. anxA5 binds PS and crystallizes in a two-dimensional network covering the PS-expressing cell surface. Two-dimensional crystallization is the driving force for anxA5 internalization by PS-expressing cells. Here, we report structure/function analysis of anxA5 internalization. Guided by structural bioinformatics including protein-protein docking, we revealed that the amino acids Arg(63), Lys(70), Lys(101), Glu(138), Asp(139), and Asn(160) engage in intermolecular salt bridges within the anxA5 trimer, which is the basic building block of the two-dimensional network. Disruption of the salt bridges by site-directed mutagenesis does not affect PS binding but inhibits trimer formation and cell entry of surface-bound anxA5. The anxA5 variants with impaired internalization are superior molecular imaging agents in pretargeting strategies as compared with wild-type anxA5

    Transfection efficiency of lipoplexes for site-directed delivery

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    Targeted gene delivery is a promising strategy to cure disease on its basic level at the site of interest. The ultrastructure, internalization, and transfection efficiency of lipoplexes was investigated. We found that at a charge ratio (ρ) of 4.0 lipoplexes had optimum characteristics for gene delivery in vitro. To decrease the size of lipoplexes, we used a method of continuous-flow microfluidics. PEGylation of lipoplexes did not hinder internalization, but was found to hamper transfection. To discriminate between uptake and transfection efficiency of lipoplexes, we used fluorescence-based approaches: microscopy and FACS. To this end, GFP plasmid was labeled with Alexa 594, and, in parallel experiments, GFP plasmid was combined with rhodamine-labeled lipid. Our studies confirm that cellular uptake does not imply transfection efficiency, and that hurdles in cellular processing have to be taken before targeted gene delivery becomes an established therapeutic option

    Transfection efficiency of lipoplexes for site-directed delivery

    No full text
    Targeted gene delivery is a promising strategy to cure disease on its basic level at the site of interest. The ultrastructure, internalization, and transfection efficiency of lipoplexes was investigated. We found that at a charge ratio (ρ) of 4.0 lipoplexes had optimum characteristics for gene delivery in vitro. To decrease the size of lipoplexes, we used a method of continuous-flow microfluidics. PEGylation of lipoplexes did not hinder internalization, but was found to hamper transfection. To discriminate between uptake and transfection efficiency of lipoplexes, we used fluorescence-based approaches: microscopy and FACS. To this end, GFP plasmid was labeled with Alexa 594, and, in parallel experiments, GFP plasmid was combined with rhodamine-labeled lipid. Our studies confirm that cellular uptake does not imply transfection efficiency, and that hurdles in cellular processing have to be taken before targeted gene delivery becomes an established therapeutic option
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