Methylation subgroup and molecular heterogeneity is a hallmark of glioblastoma: implications for biopsy targeting, classification and therapy

Background

Patients and methods

Results

Conclusions

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Glioblastoma exhibits significant heterogeneity, from epigenome-wide methylation phenotypes to single molecular targets.

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Phylogeny showed CDKN2A/B loss and gain of EGFR, PDGFRA, and CDK4 early in tumor development.

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Intratumoral heterogeneity is of utmost importance for molecular classification as well as for defining therapeutic targets.

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Assessing single biopsies underestimates the true molecular diversity in a tumor.

Methodologies for evaluating exoskeletons with industrial applications

Industrial exoskeletons are globally developed, explored, and increasingly implemented in industrial workplaces. Multiple technical, physical, and psychological aspects should be assessed prior to their daily application in various occupational environments. The methodology for evaluating these aspects is not standardised and differs in terms of focussed research objectives, used types of analyses, applied testing procedures, and use cases. The aim of this paper is to provide a matrix comparing the prevalence of different types of analyses combined with their respective research objective(s). A systematic review in the database 'Web of Science' identified 74 studies, mainly in laboratory settings, with a focus on short-term effects as well as with male-dominated samples being low representative for industrial workforces. The conducted evaluation methodologies are further discussed and compared in terms of testing procedure, sample, and research objectives. Finally, relevant aspects for prospectively evaluating industrial exoskeletons in a more harmonised and comprehensive way are suggested. Practitioner summary: Industrial exoskeletons are still inconsistently and insufficiently evaluated in scientific studies, which might hamper the comparability of systems, threaten the human health, and block an iterative system optimisation. Thus, a comprehensive evaluation methodology is needed with harmonised and multicriteria types of analyses.

Low-Cost Force Sensors Embedded in Physical Human-Machine Interfaces: Concept, Exemplary Realization on Upper-Body Exoskeleton, and Validation

In modern times, the collaboration between humans and machines increasingly rises, combining their respective benefits. The direct physical support causes interaction forces in human-machine interfaces, whereas their form determines both the effectiveness and comfort of the collaboration. However, their correct detection requires various sensor characteristics and remains challenging. Thus, this paper presents a developed low-cost sensor pad working with a silicone capsule and a piezoresistive pressure sensor. Its measurement accuracy is validated in both an isolated testing environment and a laboratory study with four test subjects (gender-balanced), and an application integrated in interfaces of an active upper-body exoskeleton. In the material-testing machine, it becomes apparent that the sensor pad generally features the capability of reliably determining normal forces on its surface until a certain threshold. This is also proven in the real application, where the measurement data of three sensor pads spatially embedded in the exoskeletal interface are compared to the data of an installed multi-axis load cell and a high-resolution flexible pressure map. Here, the consideration of three sensor pads potentially enables detection of exoskeletal support on the upper arm as well as "poor" fit conditions such as uneven pressure distributions that recommend immediate system adjustments for ergonomic improvements.

[Prevention of bicycle accidents]

For a very precise analysis of all injured bicyclists in Germany it would be important to have definitions for "severely injured", "seriously injured" and "critically injured". By this, e.g., two-thirds of surgically treated bicyclists who are not registered by the police could become available for a general analysis. Elderly bicyclists (> 60 years) are a minority (10 %) but represent a majority (50 %) of all fatalities. They profit most by wearing a helmet and would be less injured by using special bicycle bags, switching on their hearing aids and following all traffic rules. E-bikes are used more and more (145 % more in 2012 vs. 2011) with 600,000 at the end of 2011 and are increasingly involved in accidents but still have a lack of legislation. So even for pedelecs 45 with 500 W and a possible speed of 45 km/h there is still no legislative demand for the use of a protecting helmet. 96 % of all injured cyclists in Germany had more than 0.5 ‰ alcohol in their blood, 86 % more than 1.1 ‰ and 59 % more than 1.7 ‰. Fatalities are seen in 24.2 % of cases without any collision partner. Therefore the ADFC calls for a limit of 1.1 ‰. Some virtual studies conclude that integrated sensors in bicycle helmets which would interact with sensors in cars could prevent collisions or reduce the severity of injury by stopping the cars automatically. Integrated sensors in cars with opening angles of 180° enable about 93 % of all bicyclists to be detected leading to a high rate of injury avoidance and/or mitigation. Hanging lamps reduce with 35 % significantly bicycle accidents for children, traffic education for children and special trainings for elderly bicyclists are also recommended as prevention tools. As long as helmet use for bicyclists in Germany rates only 9 % on average and legislative orders for using a helmet will not be in force in the near future, coming up campaigns seem to be necessary to be promoted by the Deutscher Verkehrssicherheitsrat as, e.g., "Helmets are cool". Also, spots in TV should be broadcasted like "The 7th sense" or "Traffic compass", which were warning car drivers many years ago of moments of danger but now they could be used to warn bicyclists of life-threatening situations in traffic.

[Detection of autoantibodies to extractable nuclear antigens in autoimmune diseases of rheumatic origin using immunoblotting--comparison with counter-electrophoresis]

Sera from 82 patients with rheumatic autoimmune disease were tested for anti-ENA antibodies by immunoblotting and counterimmunoelectrophoresis (CIE), using HeLa cell extract and rabbit thymus extract, respectively, as antigens. Anti-ENA antibodies were more frequently detected and could be better differentiated by immunoblotting rather than by CIE. There was especially an increase in anti-Sm antibodies (23, in contrast to four positive results), which was only detectable in serum samples for the 59 SLE patients. The sera of the six patients with MCTD all reacted with the 68 U1-RNP antigen. The sera of the five patients with Sjögren's syndrome only recognized the 50k La antigen, while other anti-ENA antibodies were not observed. In SLE anti-La antibodies were often associated with other anti-ENA antibodies. Seven out of eight SLE patients showing a combined detection of antibodies against Sm, U1-RNP and La by immunoblotting demonstrated severe organ involvements, especially lupus nephritis. Therefore, the characterization of anti-ENA antibodies by immunoblotting may contribute to improve the differentiation of connective tissue diseases.