Background: Patients with chronic obstructive pulmonary disease (COPD) demonstrate reduced levels of daily physical activity (DPA) compared to healthy controls. This results in a higher risk of hospital admission and shorter survival. Performing regular DPA reduces these risks. Objective: To develop an eHealth intervention that will support patients with COPD to improve or maintain their DPA after pulmonary rehabilitation. Methods: The design process consisted of literature research and the iterative developing and piloting phases of the Medical Research Council (MRC) model for complex clinical interventions and the involvement of end users. Participants were healthy adults and persons with COPD. Results: The mobile phone interface met all the set requirements. Participants found that the app was stimulating and that reaching their DPA goals was rewarding. The mean (SD) scores on a 7-point scale for usability, ease of use, ease of learning, and contentment were 3.8 (1.8), 5.1 (1.1), 6.0 (1.6), and 4.8 (1.3), respectively. The mean (SD) correlation between the mobile phone and a validated accelerometer was 0.88 (0.12) in the final test. The idea of providing their health care professional with their DPA data caused no privacy issues in the participants. Battery life lasted for an entire day with the final version, and readability and comprehensibility of text and colors were favorable. Conclusions: By employing a user-centered design approach, a mobile phone was found to be an adequate and feasible interface for an eHealth intervention. The mobile phone and app are easy to learn and use by patients with COPD. In the final test, the accuracy of the DPA measurement was good. The final version of the eHealth intervention is presently being tested by our group for efficacy in a randomized controlled trial in COPD patients.
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Synthetic glucocorticoids are potent anti-inflammatory drugs but show dose-dependent metabolic side effects such as the development of insulin resistance and obesity. The precise mechanisms involved in these glucocorticoid-induced side effects, and especially the participation of adipose tissue in this are not completely understood. We used a combination of transcriptomics, antibody arrays and bioinformatics approaches to characterize prednisolone-induced alterations in gene expression and adipokine secretion, which could underlie metabolic dysfunction in 3T3-L1 adipocytes. Several pathways, including cytokine signalling, Akt signalling, and Wnt signalling were found to be regulated at multiple levels, showing that these processes are targeted by prednisolone. These results suggest that mechanisms by which prednisolone induce insulin resistance include dysregulation of wnt signalling and immune response processes. These pathways may provide interesting targets for the development of improved glucocorticoids.
Nearly all waterborne products, such as food, beverages, pharmaceuticals, paints, biological (medical) samples, cosmetics and wood require preservation to prevent decomposition of the product due to microbial growth. Most non-food preservatives such as isothiazolinones, bronopol, and pyrithiones, are derived from oil and are increasingly more strictly regulated due to hazards such as ecotoxicity, sensibilization and development of allergies. The low legally permitted concentrations will not only become too low to realize preservation, they will also induce antimicrobial resistance. A chemical transition towards new, innovative, biobased, and eco-friendly preservatives is therefore required. Wydo NBD is dedicated to research towards sustainable ingredients for waterborne paints. For this, together with the Hanze University, non-hazardous, eco-friendly and biobased natural preservatives will be identified and further developed towards marketable products. The knowledge obtained in this project will contribute to the development of biological (paint) conservatives knowledge and improvement of current production methods of Wydo, with the potential for wider application in food and medical products. This project aims to identify natural antimicrobial additives and consists of three consecutive stages. First, an extensive, unbiased bioinformatics guided literature mining will be performed to find relationships between biological antimicrobial compounds and microbes found in paint. The most promising antimicrobials from this mining will be made available by chemical synthesis. Subsequently, the compounds will be assessed for their potential as novel natural preservatives for waterborne paints, by testing for their antimicrobial activity and stability.
Nearly all waterborne products, such as food, beverages, pharmaceuticals, paints, biological (medical) samples, cosmetics and wood require preservation to prevent decomposition of the product due to microbial growth. Most non-food preservatives such as isothiazolinones, bronopol, and pyrithiones, are derived from oil and are increasingly more strictly regulated due to hazards such as ecotoxicity, sensibilization and development of allergies. The low legally permitted concentrations will not only become too low to realize preservation, they will also induce antimicrobial resistance. A chemical transition towards new, innovative, biobased, and eco-friendly preservatives is therefore required. Wydo NBD is dedicated to research towards sustainable ingredients for waterborne paints. For this, together with the Hanze University, non-hazardous, eco-friendly and biobased natural preservatives will be identified and further developed towards marketable products. The knowledge obtained in this project will contribute to the development of biological (paint) conservatives knowledge and improvement of current production methods of Wydo, with the potential for wider application in food and medical products.This project aims to identify natural antimicrobial additives and consists of three consecutive stages. First, an extensive, unbiased bioinformatics guided literature mining will be performed to find relationships between biological antimicrobial compounds and microbes found in paint. The most promising antimicrobials from this mining will be made available by chemical synthesis. Subsequently, the compounds will be assessed for their potential as novel natural preservatives for waterborne paints, by testing for their antimicrobial activity and stability
Plastic waste is one of the largest environmental problems in the 21st century. By 2050, up to 12,000 Mt of plastic waste is estimated to be in landfills or in the natural environment. Biochemical recycling by using modified microbial enzymes have shown potentials in the back-to-monomer (BTM) recycling of polyethylene terephthalate by breaking down the polymers into re-usable monomers. These enzymes can be produced via fungal species. In order to make this biochemical BTM process viable a process integrated enzyme production is key in increasing the efficiency and reducing the cost of enzymes. For this a molecular monitoring method, such as RNA-seq (RNA-sequencing), is needed. RNA-seq can achieve a snapshot on enzyme producing process inside of the cell by semi-quantitatively measuring the volume of enzyme encoding RNAs. This information can bring hints on fungal strain improvement by promoting the desired enzymes. It also helps to instantly monitor the BTM production outcomes. However, conventional RNA-seq platforms can only be performed via service providers or startup investments reaching 2 million euros. Each round of analysis could take as long as 6 weeks turnaround time. Furthermore, the method creates huge amount of complicated datasets, only by expert skills and specialized high performance computing the data can be sorted in a comprehensive manner. To solve these problems, in this project, by combining the expertise on plastic end-of-life control, fungal enzyme production, molecular monitoring and Bioinformatics from both the UAS and SME sides, we aim to implement a novel RNA-seq based system to monitor the in-process enzyme production for plastic degradation. We will optimize the existing portable RNA-seq prototype machinery for semi-real time monitoring of the BTM recycling process. The downstream data will be handled by a tailored analysis pipeline designed with expert knowledge via an user-friendly interface.
