| 1. |
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- 2019
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Tidskriftsartikel (refereegranskat)
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| 2. |
- Wilkinson, John L., et al.
(författare)
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Pharmaceutical pollution of the world's rivers
- 2022
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 119:8
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Tidskriftsartikel (refereegranskat)abstract
- Environmental exposure to active pharmaceutical ingredients (APIs) can have negative effects on the health of ecosystems and humans. While numerous studies have monitored APIs in rivers, these employ different analytical methods, measure different APIs, and have ignored many of the countries of the world. This makes it difficult to quantify the scale of the problem from a global perspective. Furthermore, comparison of the existing data, generated for different studies/regions/continents, is challenging due to the vast differences between the analytical methodologies employed. Here, we present a global-scale study of API pollution in 258 of the world's rivers, representing the environmental influence of 471.4 million people across 137 geographic regions. Samples were obtained from 1,052 locations in 104 countries (representing all continents and 36 countries not previously studied for API contamination) and analyzed for 61 APIs. Highest cumulative API concentrations were observed in sub-Saharan Africa, south Asia, and South America. The most contaminated sites were in low- to middle-income countries and were associated with areas with poor wastewater and waste management infrastructure and pharmaceutical manufacturing. The most frequently detected APIs were carbamazepine, metformin, and caffeine (a compound also arising from lifestyle use), which were detected at over half of the sites monitored. Concentrations of at least one API at 25.7% of the sampling sites were greater than concentrations considered safe for aquatic organisms, or which are of concern in terms of selection for antimicrobial resistance. Therefore, pharmaceutical pollution poses a global threat to environmental and human health, as well as to delivery of the United Nations Sustainable Development Goals.
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| 3. |
- Hartana, C. A., et al.
(författare)
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Tissue-resident memory T cells are epigenetically cytotoxic with signs of exhaustion in human urinary bladder cancer
- 2018
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Ingår i: Clinical and Experimental Immunology. - : WILEY. - 0009-9104 .- 1365-2249. ; 194:1, s. 39-53
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Tidskriftsartikel (refereegranskat)abstract
- Tissue-resident memory T (T-RM) cells are CD8(+) T lymphocytes that reside in the tissues, including tumours. This T cell subset possesses a magnitude of cytotoxicity, but its epigenetic regulation has not been studied. Here, we investigate the impact of perforin DNA methylation in T-RM cells and correlate it with their functional potential. Fifty-three urothelial urinary bladder cancer (UBC) patients were recruited prospectively. The DNA methylation status of the perforin gene (PRF1) locus in T-RM cells was investigated by pyrosequencing. Flow cytometry with ViSNE analysis and in-vitro stimulation were used to evaluate T-RM cell phenotypes. We discovered that tumour T-RM cells have low DNA methylation in the PRF1 locus (329% methylation), which corresponds to increased numbers of perforin-expressing T-RM cells. Surprisingly, programmed cell death 1 (PD-1) expression is high in tumour T-RM cells, suggesting exhaustion. Following interleukin-15 and T cell receptor stimulation, perforin and T-bet expressions are enhanced, indicating that T-RM cells from tumours are not terminally exhausted. Moreover, a high number of T-RM cells infiltrating the tumours corresponds to lower tumour stage in patients. In conclusion, T-RM cells from UBC tumours are epigenetically cytotoxic with signs of exhaustion. This finding identifies T-RM cells as potential new targets for cancer immunotherapy.
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| 4. |
- Mansouri, Kamel, et al.
(författare)
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CERAPP : Collaborative Estrogen Receptor Activity Prediction Project
- 2016
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Ingår i: Journal of Environmental Health Perspectives. - : Environmental Health Perspectives. - 0091-6765 .- 1552-9924. ; 124:7, s. 1023-1033
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Humans are exposed to thousands of man-made chemicals in the environment. Some chemicals mimic natural endocrine hormones and, thus, have the potential to be endocrine disruptors. Most of these chemicals have never been tested for their ability to interact with the estrogen receptor (ER). Risk assessors need tools to prioritize chemicals for evaluation in costly in vivo tests, for instance, within the U.S. EPA Endocrine Disruptor Screening Program. OBJECTIVES: We describe a large-scale modeling project called CERAPP (Collaborative Estrogen Receptor Activity Prediction Project) and demonstrate the efficacy of using predictive computational models trained on high-throughput screening data to evaluate thousands of chemicals for ER-related activity and prioritize them for further testing. METHODS: CERAPP combined multiple models developed in collaboration with 17 groups in the United States and Europe to predict ER activity of a common set of 32,464 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed, mostly using a common training set of 1,677 chemical structures provided by the U.S. EPA, to build a total of 40 categorical and 8 continuous models for binding, agonist, and antagonist ER activity. All predictions were evaluated on a set of 7,522 chemicals curated from the literature. To overcome the limitations of single models, a consensus was built by weighting models on scores based on their evaluated accuracies. RESULTS: Individual model scores ranged from 0.69 to 0.85, showing high prediction reliabilities. Out of the 32,464 chemicals, the consensus model predicted 4,001 chemicals (12.3%) as high priority actives and 6,742 potential actives (20.8%) to be considered for further testing.CONCLUSION: This project demonstrated the possibility to screen large libraries of chemicals using a consensus of different in silico approaches. This concept will be applied in future projects related to other end points.
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| 5. |
- Buchbinder, David, et al.
(författare)
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Predictors of Loss to Follow-Up Among Pediatric and Adult Hematopoietic Cell Transplantation Survivors : A Report from the Center for International Blood and Marrow Transplant Research
- 2020
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Ingår i: Biology of blood and marrow transplantation. - : Elsevier. - 1083-8791 .- 1523-6536. ; 26:3, s. 553-561
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Tidskriftsartikel (refereegranskat)abstract
- Follow-up is integral for hematopoietic cell transplantation (HCT) care to ensure surveillance and intervention for complications. We characterized the incidence of and predictors for being lost to follow-up. Two-year survivors of first allogeneic HCT (10,367 adults and 3865 children) or autologous HCT (7291 adults and 467 children) for malignant/nonmalignant disorders between 2002 and 2013 reported to the Center for International Blood and Marrow Transplant Research were selected. The cumulative incidence of being lost to follow-up (defined as having missed 2 consecutive follow-up reporting periods) was calculated. Marginal Cox models (adjusted for center effect) were fit to evaluate predictors. The 10-year cumulative incidence of being lost to follow-up was 13% (95% confidence interval [CI], 12% to 14%) in adult allogeneic HCT survivors, 15% (95% CI, 14% to 16%) in adult autologous HCT survivors, 25% (95% CI, 24% to 27%) in pediatric allogeneic HCT survivors, and 24% (95% CI, 20% to 29%) in pediatric autologous HCT survivors. Factors associated with being lost to follow-up include younger age, nonmalignant disease, public/no insurance (reference: private), residence farther from the tranplantation center, and being unmarried in adult allogeneic HCT survivors; older age and testicular/germ cell tumor (reference: non-Hodgkin lymphoma) in adult autologous HCT survivors; older age, public/no insurance (reference: private), and nonmalignant disease in pediatric allogeneic HCT survivors; and older age in pediatric autologous HCT survivors. Follow-up focusing on minimizing attrition in high-risk groups is needed to ensure surveillance for late effects.
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| 6. |
- El-Seedi, Hesham R., et al.
(författare)
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Plant extracts and compounds for combating schistosomiasis
- 2023
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Ingår i: Phytochemistry Reviews. - : Springer. - 1568-7767 .- 1572-980X. ; 22:6, s. 1691-1806
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Tidskriftsartikel (refereegranskat)abstract
- Schistosomiasis is a vector-borne water-based disease caused by Schistosoma blood flukes. It mostly affects people in low-income regions, 90% of reported cases being in developing countries. Schistosoma has a complex lifecycle, alternately infecting mammalian hosts and snails. The snails hosting the parasite are the most viable targets. Selective preparations for reducing the parasite pool in snails and infected water are required as current molluscicides are also nontoxic to other organisms, including fish, and thus affect food supplies in infected areas. Plants (e.g. Annona crassiflora Mart., A. muricata L., and A. montana Macfad.) are attractive potential sources as alternative molluscicides and novel entity to treat the disease owned to their diverse biologically potent compounds including; saponins, alkaloids, terpenoids, and tannins. Additionally, they can be locally cultivated, providing income for farmers and reducing treatment costs. Here, we review plants, plant extracts and isolated compounds that have shown activities against the host snails or Schistosoma in various parts of its life cycle. Plants have a lot of potential and will continue to contribute feasible, effective medicines and/or pesticides; more research is warranted to fully explore their future applications.
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| 7. |
- Mohamed, Sherif A. S., et al.
(författare)
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Monocular visual odometry based on hybrid parameterization
- 2020
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Ingår i: Proceedings of SPIE - The International Society for Optical Engineering. - : SPIE.
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Konferensbidrag (refereegranskat)abstract
- Visual odometry (VO) is one of the most challenging techniques in computer vision for autonomous vehicle/vessels. In VO, the camera pose that also represents the robot pose in ego-motion is estimated analyzing the features and pixels extracted from the camera images. Different VO techniques mainly provide different trade-offs among the resources that are being considered for odometry, such as camera resolution, computation/communication capacity, power/energy consumption, and accuracy. In this paper, a hybrid technique is proposed for camera pose estimation by combining odometry based on triangulation using the long-term period of direct-based odometry and the short-term period of inverse depth mapping. Experimental results based on the EuRoC data set shows that the proposed technique significantly outperforms the traditional direct-based pose estimation method for Micro Aerial Vehicle (MAV), keeping its potential negative effect on performance negligible.
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| 8. |
- Mohamed, Sherif A. S., et al.
(författare)
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Towards Real-Time Edge Detection for Event Cameras Based on Lifetime and Dynamic Slicing
- 2020
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Ingår i: Advances in intelligent systems and computing. - Cham : Springer. ; , s. 584-593
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Konferensbidrag (refereegranskat)abstract
- Retinal cameras, such as dynamic vision sensors (DVF), transmit asynchronous events with ultra-low latency only at significant luminance changes, unlike traditional CMOS cameras which transmit the absolute brightness of all pixels including redundant backgrounds. Due to these significant characteristics, they offer great potential to obtain efficient localization of high-speed and agile platforms. Moreover, event cameras have a high dynamic range which makes them suitable for platforms that operate indoors in low-lighting scenarios and in outdoor environments, where the camera might be pointing at a strong light source, e.g. the sun. In this paper, we propose an algorithm to detect edges in event streams coming from retinal cameras. To do that, an algorithm is developed to extract edges from events by augmenting a batch of events with their lifetimes. The lifetime of each event is computed using a local plane fitting technique. We use a batching technique to increase the frame rate of generated images since events with a high sample rate cause the processing of a single event to be computationally expensive. The size of the batch will be adjusted based on the mean optical flow of the previously generated batch. The obtained experimental results show that our proposed technique can significantly reduce the response time with the same sharpness in generating the edges.
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| 9. |
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| 10. |
- Yasin, Jawad N., et al.
(författare)
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Night vision obstacle detection and avoidance based on Bio-Inspired Vision Sensors
- 2020
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Ingår i: Proceedings 2020 IEEE SENSORS. - : Institute of Electrical and Electronics Engineers (IEEE).
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Konferensbidrag (refereegranskat)abstract
- Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision avoidance systems (CAS). However, the detection of obstacles especially during night-time is still a challenging task since the lighting conditions are not sufficient for traditional cameras to function properly. Therefore, we exploit the powerful attributes of event-based cameras to perform obstacle detection in low lighting conditions. Event cameras trigger events asynchronously at high output temporal rate with high dynamic range of up to 120 dB. The algorithm filters background activity noise and extracts objects using robust Hough transform technique. The depth of each detected object is computed by triangulating 2D features extracted utilising LC-Harris. Finally, asynchronous adaptive collision avoidance (AACA) algorithm is applied for effective avoidance. Qualitative evaluation is compared using event-camera and traditional camera.
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