7,465 results on '"Peto A"'
Search Results
2. Hydrochemical properties and heavy metal concentrations (ecological and human risk) of lake Rukwa
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Azaria Stephano Lameck, Omar Saeed, Phenson Nsima Justine, Daniel Mwakagile, Peto Akos, and Emil Boros
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Lake Rukwa ,Hydrochemical properties ,Heavy metal pollution ,Ecological risks ,Health risks ,Environmental sciences ,GE1-350 - Abstract
This study examined lake Rukwa's hydrochemical characteristics and heavy metal levels (ecological and health hazards). Results showed that the pH ranged from 8.83 to8.95, EC ranged from 1470 to 1572.22 µS/cm, and TDS ranged from 1053.04 to 1262.63 Mg/l. The findings revealed that lake Rukwa is characterized by Na-K-HCO3 water chemical type. Gibb's diagram revealed that rock weathering and evaporation regulate water's chemical composition. The calcite and sepiolite precipitation enriches the water with Na-CO3-SO4-Cl. The study suggests silicate mineral weathering, rock-water interactions, direct ion exchange, and secondary mineral precipitation govern the geochemical evolution of lake Rukwa. The results also revealed that 30% of samples had moderate ecological risk (30 < RI < 60), whereas 70% had severe risk (60 < RI < 120). The oral hazard quotient (HQ) values for lead (Pb) in children were significantly higher (HQ > 1) at all locations, indicating a potential health risk. However, the dermal HQ values were found to be within acceptable levels. Most sites had acceptable Hazard Index (HI) values, except for Pb in children and adults. In Monte Carlo simulations, heavy metal HQ values were below standard limits, except for oral Pb exposure, which exceeded 1 for adults (7.29E-04) and children (2.79E-03). The average CR values for oral and dermal Pb in adults (7.29E-04, 3.47E-04) and children (2.79E-03, 1.02E-03) exceeded 1.0E-04, suggesting carcinogenic potential. These findings highlight significant oral and dermal carcinogenic hazards from Pb exposure to lake Rukwa and the necessity for effective comprehensive measures to mitigate these risks.
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- 2024
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3. Editorial Introduction
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Peto Andrea
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History of Eastern Europe ,DJK1-77 - Published
- 2023
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4. Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving
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Kunsági-Máté, Sándor, Pető, Levente, Seres, Lehel, and Matuszka, Tamás
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Computer Science - Computer Vision and Pattern Recognition - Abstract
3D detection of traffic management objects, such as traffic lights and road signs, is vital for self-driving cars, particularly for address-to-address navigation where vehicles encounter numerous intersections with these static objects. This paper introduces a novel method for automatically generating accurate and temporally consistent 3D bounding box annotations for traffic lights and signs, effective up to a range of 200 meters. These annotations are suitable for training real-time models used in self-driving cars, which need a large amount of training data. The proposed method relies only on RGB images with 2D bounding boxes of traffic management objects, which can be automatically obtained using an off-the-shelf image-space detector neural network, along with GNSS/INS data, eliminating the need for LiDAR point cloud data., Comment: Accepted at the 2nd Workshop on Vision-Centric Autonomous Driving (VCAD) as part of ECCV 2024
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- 2024
5. Dementia risk reduction in the African context: Multi-national implementation of multimodal strategies to promote healthy brain aging in Africa (the Africa-FINGERS project).
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Udeh-Momoh, Chinedu, Maina, Rachel, Anazodo, Udunna, Akinyemi, Rufus, Atwoli, Lukoye, Baker, Laura, Bassil, Darina, Blackmon, Karen, Bosire, Edna, Chemutai, Gloria, Crivelli, Lucia, Eze, Laz, Ibanez, Agustin, Kafetsouli, Dimitra, Karikari, Thomas, Khakali, Linda, Kumar, Manasi, Lengyel, Imre, de Jager Loots, Celeste, Mangialasche, Francesca, Mbugua, Sylvia, Merali, Zul, Mielke, Michelle, Mostert, Cyprian, Muthoni, Eunice, Nesic-Taylor, Olivera, Ngugi, Anthony, Nguku, Samuel, Ogunniyi, Adesola, Ogunyemi, Adedoyin, Okonkwo, Ozioma, Okubadejo, Njideka, Perneczky, Robert, Peto, Tunde, Rianga, Roselyter, Saleh, Mansoor, Sayed, Shaheen, Shah, Jasmit, Shah, Sheena, Solomon, Alina, Thesen, Thomas, Trepel, Dominic, Ucheagwu, Valentine, Valcour, Victor, Waa, Sheila, Watermeyer, Tamlyn, Yokoyama, Jennifer, Zetterberg, Henrik, and Kivipelto, Miia
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Alzheimers disease ,brain banking ,community‐based participatory research ,dementia prevention trials ,fluid and neuroimaging biomarkers ,health economics ,implementation science ,retinal imaging - Abstract
Dementia prevention in Africa is critically underexplored, despite the continents high prevalence of modifiable risk factors. With a predominantly young and middle-aged population, Africa presents a prime opportunity to implement evidence-based strategies that could significantly reduce future dementia cases and mitigate its economic impact. The multinational Africa-FINGERS program offers an innovative solution, pioneering culturally sensitive, multidomain interventions tailored to the unique challenges of the region. Leveraging insights from landmark global studies such as Worldwide-FINGERS and Alzheimers Disease Neuroimaging Initiative, the program employs a multideterminant precision prevention framework, grounded in community based systems dynamics. Africa-FINGERS further integrates cutting-edge state-of-the-art multimodal biomarker evaluations tailored to regional contexts, with the goal of advancing brain health and establishing a global standard for dementia prevention. This groundbreaking initiative highlights the potential for scalableand sustainable interventions, thus is poised to transform dementia risk reduction efforts across the continent. HIGHLIGHTS: Dementia rates are escalating in Africa, largely due to longer life spans and increased prevalence of modifiable risk factors. Yet, few regional interventions have directly targeted lifestyle factors to reduce dementia risk. The multinational Africa-FINGERS study will address this gap by adapting the successful FINGERS lifestyle intervention to African populations. Africa-FINGERS will pioneer a culturally informed, multidomain dementia risk reduction intervention in the African region through feasibility dementia prevention trials in rural and urban sites across Kenya and Nigeria in the first instance, enrolling 600 at-risk adults (≥ 50 years). The program adopts participatory research methods to develop culturally appropriate interventions and build infrastructure to evaluate dementia biomarkers from ante and post mortem samples. A cost-effectiveness analysis will be conducted to guide the strategic implementation of Africa-FINGERS into regional health systems. The Africa-FINGERS strategy aligns with the Worldwide-FINGERS framework and integrates the global Alzheimers Disease Neuroimaging Initiative approach, emphasizing multimodal analysis.
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- 2024
6. The Impact of the COVID-19 Pandemic on Tele-ophthalmology-Based Retinal Screening
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Rasmussen, Marie L. R., Cehofski, Lasse J., Davies, Julie, Faber, Carsten, Falk, Mads K., Grauslund, Jakob, Hansen, Michael S., Keane, Pearse A., Natarajan, Sundaram, Peto, Tunde, Subhi, Yousif, Wykoff, Charles C., and Muttuvelu, Danson V.
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- 2024
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7. Malaria elimination challenges in countries approaching the last mile: a discussion among regional stakeholders
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Lek, Dysoley, Shrestha, Manash, Lhazeen, Karma, Tobgyel, Tobgyel, Kandel, Shashi, Dahal, Gokarna, Ghimire, Yadu Chandra, Shrestha, Bijaya, Ghimire, Prakash, Hein, Phone Si, Peto, Thomas J., Callery, James J., Tripura, Rupam, von Seidlein, Lorenz, Amaratunga, Chanaki, Lynch, Caroline A., Dondorp, Arjen M., and Adhikari, Bipin
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- 2024
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8. Population genomics and transcriptomics of Plasmodium falciparum in Cambodia and Vietnam uncover key components of the artemisinin resistance genetic background
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Nayak, Sourav, Peto, Thomas J., Kucharski, Michal, Tripura, Rupam, Callery, James J., Quang Huy, Duong Tien, Gendrot, Mathieu, Lek, Dysoley, Nghia, Ho Dang Trung, van der Pluijm, Rob W., Dong, Nguyen, Long, Le Thanh, Vongpromek, Ranitha, Rekol, Huy, Hoang Chau, Nguyen, Miotto, Olivo, Mukaka, Mavuto, Dhorda, Mehul, von Seidlein, Lorenz, Imwong, Mallika, Roca, Xavier, Day, Nicholas P. J., White, Nicholas J., Dondorp, Arjen M., and Bozdech, Zbynek
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- 2024
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9. Adherence to diabetic retinopathy screening among children and young adults in Bangladesh
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Curran, Katie, Ahmed, Munir, Sultana, Mirza Manbira, Moutari, Salissou, Hossain, Mohammad Awlad, Cushley, Laura, Peto, Tunde, Husain, Lutful, Zabeen, Bedowra, and Congdon, Nathan
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- 2024
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10. Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian randomisation in 100,000 Chinese adults
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Pozarickij, Alfred, Gan, Wei, Lin, Kuang, Clarke, Robert, Fairhurst-Hunter, Zammy, Koido, Masaru, Kanai, Masahiro, Okada, Yukinori, Kamatani, Yoichiro, Bennett, Derrick, Du, Huaidong, Chen, Yiping, Yang, Ling, Avery, Daniel, Guo, Yu, Yu, Min, Yu, Canqing, Schmidt Valle, Dan, Lv, Jun, Chen, Junshi, Peto, Richard, Collins, Rory, Li, Liming, Chen, Zhengming, Millwood, Iona Y., and Walters, Robin G.
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- 2024
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11. The spectrum of health conditions in community-based cross-sectional surveys in Southeast Asia 2010-21: a scoping review
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Zhang, Meiwen, Kozlowski, Hannah, Chew, Rusheng, Htun, Nan Shwe Nwe, Morris, Shaun K., Akladious, Carolyn, Sarker, Abdur Razzaque, Lubell, Yoel, and Peto, Thomas J.
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- 2024
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12. Clinical trial results in context: comparison of baseline characteristics and outcomes of 38,510 RECOVERY trial participants versus a reference population of 346,271 people hospitalised with COVID-19 in England
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Pessoa-Amorim, Guilherme, Goldacre, Raphael, Crichton, Charles, Stevens, Will, Nunn, Michelle, King, Andy, Murray, Dave, Welsh, Richard, Pinches, Heather, Rees, Andrew, Morris, Eva J. A., Landray, Martin J., Haynes, Richard, Horby, Peter, Wallendszus, Karl, Peto, Leon, Campbell, Mark, Harper, Charlie, and Mafham, Marion
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- 2024
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13. Improving the representativeness of UK’s national COVID-19 Infection Survey through spatio-temporal regression and post-stratification
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Pouwels, Koen B., Eyre, David W., House, Thomas, Aspey, Ben, Matthews, Philippa C., Stoesser, Nicole, Newton, John N., Diamond, Ian, Studley, Ruth, Taylor, Nick G. H., Bell, John I., Farrar, Jeremy, Kolenchery, Jaison, Marsden, Brian D., Hoosdally, Sarah, Jones, E. Yvonne, Stuart, David I., Crook, Derrick W., Peto, Tim E. A., and Walker, A. Sarah
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- 2024
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14. Impact of targeted drug administration and intermittent preventive treatment for forest goers using artesunate–pyronaridine to control malaria outbreaks in Cambodia
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Lek, Dysoley, Sokomar, Nguon, Samphornarann, Top, Rideout, Jeanne, Hassan, Saad El-Din, Bunkea, Tol, Ath, Saing Sam, Seng, Rothpisey, Hustedt, John, Peto, Thomas J., Hughes, Jayme, Kimmen, Ke, Dy, Khoy, and Adhikari, Bipin
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- 2024
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15. Author Correction: The plasmidome associated with Gram-negative bloodstream infections: a large-scale observational study using complete plasmid assemblies
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Lipworth, Samuel, Matlock, William, Shaw, Liam, Vihta, Karina-Doris, Rodger, Gillian, Chau, Kevin, Barker, Leanne, George, Sophie, Kavanagh, James, Davies, Timothy, Vaughan, Alison, Andersson, Monique, Jeffery, Katie, Oakley, Sarah, Morgan, Marcus, Hopkins, Susan, Peto, Timothy, Crook, Derrick, Walker, A. Sarah, and Stoesser, Nicole
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- 2024
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16. SARS-CoV-2, influenza A/B and respiratory syncytial virus positivity and association with influenza-like illness and self-reported symptoms, over the 2022/23 winter season in the UK: a longitudinal surveillance cohort
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Dietz, Elisabeth, Pritchard, Emma, Pouwels, Koen, Ehsaan, Muhammad, Blake, Joshua, Gaughan, Charlotte, Haduli, Eric, Boothe, Hugh, Vihta, Karina-Doris, Peto, Tim, Stoesser, Nicole, Matthews, Philippa, Taylor, Nick, Diamond, Ian, Studley, Ruth, Rourke, Emma, Birrell, Paul, De Angelis, Daniela, Fowler, Tom, Watson, Conall, Eyre, David, House, Thomas, and Walker, Ann Sarah
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- 2024
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17. The plasmidome associated with Gram-negative bloodstream infections: A large-scale observational study using complete plasmid assemblies
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Lipworth, Samuel, Matlock, William, Shaw, Liam, Vihta, Karina-Doris, Rodger, Gillian, Chau, Kevin, Barker, Leanne, George, Sophie, Kavanagh, James, Davies, Timothy, Vaughan, Alison, Andersson, Monique, Jeffery, Katie, Oakley, Sarah, Morgan, Marcus, Hopkins, Susan, Peto, Timothy, Crook, Derrick, Walker, A. Sarah, and Stoesser, Nicole
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- 2024
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18. Risk of SARS-CoV-2 reinfection during multiple Omicron variant waves in the UK general population
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Wei, Jia, Stoesser, Nicole, Matthews, Philippa C., Khera, Tarnjit, Gethings, Owen, Diamond, Ian, Studley, Ruth, Taylor, Nick, Peto, Tim E. A., Walker, A. Sarah, Pouwels, Koen B., and Eyre, David W.
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- 2024
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19. Dimethyl fumarate in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
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Horby, Peter W., Peto, Leon, Staplin, Natalie, Campbell, Mark, Pessoa-Amorim, Guilherme, Mafham, Marion, Emberson, Jonathan R., Stewart, Richard, Prudon, Benjamin, Uriel, Alison, Green, Christopher A., Dhasmana, Devesh J., Malein, Flora, Majumdar, Jaydip, Collini, Paul, Shurmer, Jack, Yates, Bryan, Baillie, J. Kenneth, Buch, Maya H., Day, Jeremy, Faust, Saul N., Jaki, Thomas, Jeffery, Katie, Juszczak, Edmund, Knight, Marian, Lim, Wei Shen, Montgomery, Alan, Mumford, Andrew, Rowan, Kathryn, Thwaites, Guy, Haynes, Richard, and Landray, Martin J.
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- 2024
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20. Expanding the roles of community health workers to sustain programmes during malaria elimination: a meeting report on operational research in Southeast Asia
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Dysoley, Lek, Callery, James J., Bunreth, Voeurng, Vanna, Moul, Davoeung, Chan, Sovann, Yok, You, Sles, Ol, Sam, Tripura, Rupam, Chew, Rusheng, Chandna, Arjun, Christiansen-Jucht, Céline, Hughes, Jayme, Sokomar, Nguon, Sophornarann, Top, Rideout, Jeanne, Veyvath, Tat, Sarith, Oum, Puthy, Thaung, Sothearoth, Hay, An, Sen Sam, Zaman, Sazid Ibna, von Seidlein, Lorenz, Vanthy, Lim, Sodavuth, Preap, Vannak, Chrun, Dondorp, Arjen M., Lubell, Yoel, Maude, Richard J., Peto, Thomas J., and Adhikari, Bipin
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- 2024
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21. On The Effects of The Variations In Network Characteristics In Cyber Physical Systems
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Szabó, Géza, Rácz, Sándor, Pető, József, and Aschoff, Rafael Roque
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Computer Science - Robotics - Abstract
The popular robotic simulator, Gazebo, lacks the feature of simulating the effects of control latency that would make it a fully-fledged cyber-physical system (CPS) simulator. The CPS that we address to measure is a robotic arm (UR5) controlled remotely with velocity commands. The main goal is to measure Quality of Control (QoC) related KPIs during various network conditions in a simulated environment. We propose a Gazebo plugin to make the above measurement feasible by making Gazebo capable to delay internal control and status messages and also to interface with external network simulators to derive even more advanced network effects. Our preliminary evaluation shows that there is certainly an effect on the behavior of the robotic arm with the introduced network latency in line with our expectations, but a more detailed further study is needed., Comment: In Proc., 31st European Simulation and Modelling Conference, Oct 25-27, 2017
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- 2023
22. FATHER: FActory on THE Road
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Szabó, Géza, Tárnok, Balázs, Vajda, Levente, Pető, József, and Vidács, Attila
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Computer Science - Robotics - Abstract
In most factories today the robotic cells are deployed on well enforced bases to avoid any external impact on the accuracy of production. In contrast to that, we evaluate a futuristic concept where the whole robotic cell could work in a moving platform. Imagine a trailer of a truck moving along the motorway while exposed to heavy physical impacts due to maneuvering. The key question here is how the robotic cell behaves and how the productivity is affected. We propose a system architecture (FATHER) and show some solutions including network related information and artificial intelligence to make the proposed futuristic concept feasible to implement., Comment: In Proc., 35th European Simulation and Modelling Conference, Oct 27-29, 2021
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- 2023
23. Mutation of SIVA, a candidate metastasis gene identified from clonally related bilateral breast cancers, promotes breast cancer cell spread in vitro and in vivo.
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Vermehren-Schmaedick, Anke, Peto, Myron, Wagoner, Wendy, Chiotti, Kami, Ramsey, Elizabeth, Wang, Xiaoyan, Rakshe, Shauna, Minnier, Jessica, Sears, Rosalie, Spellman, Paul, and Luoh, Shiuh-Wen
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Animals ,Female ,Humans ,Mice ,Breast Neoplasms ,Cell Line ,Tumor ,Cell Movement ,DNA Copy Number Variations ,Mice ,Inbred BALB C ,Mutation ,Neoplasm Invasiveness ,Neoplasm Metastasis ,Apoptosis Regulatory Proteins - Abstract
Metastasis is the most dreaded outcome after a breast cancer diagnosis, and little is known regarding what triggers or promotes breast cancer to spread distally, or how to prevent or eradicate metastasis effectively. Bilateral breast cancers are an uncommon form of breast cancers. In our study, a percentage of bilateral breast cancers were clonally related based on copy number variation profiling. Whole exome sequencing and comparative sequence analysis revealed that a limited number of somatic mutations were acquired in this breast-to-breast metastasis that might promote breast cancer distant spread. One somatic mutation acquired was SIVA-D160N that displayed pro-metastatic phenotypes in vivo and in vitro. Over-expression of SIVA-D160N promoted migration and invasion of human MB-MDA-231 breast cancer cells in vitro, consistent with a dominant negative interfering function. When introduced via tail vein injection, 231 cells over-expressing SIVA-D160N displayed enhanced distant spread on IVIS imaging. Over-expression of SIVA-D160N promoted invasion and anchorage independent growth of mouse 4T1 breast cancer cells in vitro. When introduced orthotopically via mammary fat pad injection in syngeneic Balb/c mice, over-expression of SIVA-D160N in 4T1 cells increased orthotopically implanted mammary gland tumor growth as well as liver metastasis. Clonally related bilateral breast cancers represented a novel system to investigate metastasis and revealed a role of SIVA-D160N in breast cancer metastasis. Further characterization and understanding of SIVA function, and that of its interacting proteins, may elucidate mechanisms of breast cancer metastasis, providing clinically useful biomarkers and therapeutic targets.
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- 2024
24. Novel dual action PARP and microtubule polymerization inhibitor AMXI-5001 powerfully inhibits growth of esophageal carcinoma both alone and in combination with radiotherapy.
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Brand, Nathan, Yang, Yi-Wei, Ding, Vivianne, Dutta, Hannah, Peto, Csaba, Lemjabbar-Alaoui, Hassan, and Jablons, David
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Esophageal carcinoma ,PARP inhibitors ,microtubule polymerization inhibitors ,radiotherapy ,xenograft model - Abstract
Esophageal cancer is one of the leading causes of cancer deaths globally with an incidence that is concentrated in specific hot spots in Eastern Asia, the Middle East, Eastern Africa, and South America. 10-year overall survival for patients treated with standard of care chemoradiation followed by surgical resection is below 40% highlighting the need for novel therapeutics to treat this disease. We assessed the effect of AMXI-5001, a novel small molecule poly ADP-Ribose polymerase (PARP) inhibitor and microtubule polymerization inhibitor on tumor growth inhibition in both in-vitro and in-vivo murine models. We found that AMXI-5001 was the most potent growth inhibitor of 8 out of 9 different esophageal carcinoma cell lines compared to other clinically available PARP inhibitors, Olaparib, Niraparib, Rucaparib, and Talazoparib. We then confirmed the previously described mechanism of action of AMXI-5001 as a PARP-inhibitor and microtubule polymerization inhibitor using both a PARP trapping assay and immunofluorescence. To further assess AMXI-5001s potential as a therapeutic for esophageal carcinoma we evaluated the effect of AMXI-5001 in combination with standard chemotherapy agents, Cisplatin and 5 Fluorouracil. We showed that AMXI-5001 synergistically inhibits growth in KYSE-70, a squamous esophageal cell line in combination with these drugs. In addition, we found that AMXI-5001 was an effective radiosensitizer, and squamous esophageal carcinoma cell lines treated 24 hours prior to external beam radiation showed significantly more growth inhibition compared to controls. Finally, we assessed the effect of AMXI-5001 monotherapy and in combination with radiotherapy in a xenograft mouse model implanted with subcutaneous KYSE-70 cells. Compared to vehicle control, and those treated with either AMXI-5001 alone or radiation alone, mice treated with both AMXI-5001 and radiation had significant tumor response. In conclusion, AMXI-5001 is an orally bioavailable dual-action PARP and microtubule polymerization inhibitor that holds promise in the treatment of esophageal carcinoma.
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- 2024
25. Long term health outcomes in people with diabetes 12 months after hospitalisation with COVID-19 in the UK: a prospective cohort study
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Brightling, C.E., Evans, R.A., Wain, L.V., Chalmers, J.D., Harris, V.C., Ho, L.P., Horsley, A., Marks, M., Poinasamy, K., Raman, B., Shikotra, A., Singapuri, A., Dowling, R., Edwardson, C., Elneima, O., Finney, S., Greening, N.J., Hargadon, B., Houchen--Wolloff, L., Leavy, O.C., McAuley, H.J.C., Overton, C., Plekhanova, T., Saunders, R.M., Sereno, M., Taylor, C., Terry, S., Tong, C., Zhao, B., Lomas, D., Sapey, E., Berry, C., Bolton, C.E., Brunskill, N., Chilvers, E.R., Djukanovic, R., Ellis, Y., Forton, D., French, N., George, J., Hanley, N.A., Hart, N., McGarvey, L., Maskell, N., McShane, H., Parkes, M., Peckham, D., Pfeffer, P., Sayer, A., Sheikh, A., Thompson, A.A.R., Williams, N., Greenhalf, W., Semple, M.G., Ashworth, M., Hardwick, H.E., Lavelle-Langham, L., Reynolds, W., Shaw, V., Venson, B., Docherty, A.B., Harrison, E.M., Baillie, J.K., Daines, L., Free, R., Kerr, S., Lone, N.I., Lozano-Rojas, D., Ntotsis, K., Pius, R., Quint, J., Richardson, M., Thorpe, M., Halling-Brown, M., Gleeson, F., Jacob, J., Neubauer, S., Siddiqui, S., Wild, J.M., Aslani, S., Baxter, G., Beggs, M., Bloomfield, C., Cassar, M.P., Chiribiri, A., Cox, E., Cuthbertson, D.J., Ferreira, V.M., Finnigan, L., Francis, S., Jezzard, P., Kemp, G.J., Lamlum, H., Lukaschuk, E., Manisty, C., McCann, G.P., McCracken, C., McGlynn, K., Menke, R., Miller, C.A., Moss, A.J., Nichols, T.E., Nikolaidou, C., O'Brien, C., Ogbole, G., Rangelov, B., O'Regan, D.P., Pakzad, A., Piechnik, S., Plein, S., Propescu, I., Samat, A.A., Saunders, L., Sanders, Z.B., Steeds, R., Treibel, T., Tunnicliffe, E.M., Webster, M., Willoughby, J., Weir McCall, J., Xie, C., Xu, M., Baxendale, H., Brown, M., Gooptu, B., Jenkins, R.G., Jones, D., Koychev, I., Langenberg, C., Lawrie, A., Molyneaux, P.L., Pearl, J., Ralser, M., Sattar, N., Scott, J.T., Shaw, T., Thomas, D., Wilkinson, D., Heaney, L.G., De Soyza, A., Adeloye, D., Brown, J.S., Busby, J., Echevarria, C., Hurst, J., Novotny, P., Nicolaou, C., Rudan, I., Shankar-Hari, M., Walker, S., Zheng, B., Geddes, J.R., Hotopf, M., Abel, K., Ahmed, R., Allan, L., Armour, C., Baguley, D., Baldwin, D., Ballard, C., Bhui, K., Breen, G., Breeze, K., Broome, M., Brugha, T., Bullmore, E., Burn, D., Callard, F., Cavanagh, J., Chalder, T., Clark, D., David, A., Deakin, B., Dobson, H., Elliott, B., Evans, J., Francis, R., Guthrie, E., Harrison, P., Henderson, M., Hosseini, A., Huneke, N., Husain, M., Jackson, T., Jones, I., Kabir, T., Kitterick, P., Korszun, A., Kwan, J., Lingford-Hughes, A., Mansoori, P., McAllister-Williams, H., McIvor, K., Michael, B., Milligan, L., Morriss, R., Mukaetova-Ladinska, E., Munro, K., Nevado-Holgado, A., Nicholson, T., Paddick, S., Pariante, C., Pimm, J., Saunders, K., Sharpe, M., Simons, G., Taylor, J.P., Upthegrove, R., Wessely, S., Amoils, S., Antoniades, C., Banerjee, A., Bularga, A., Chowienczyk, P., Greenwood, J.P., Hughes, A.D., Khunti, K., Lawson, C., Mills, N.L., Sattar, A.N., Sudlow, C.L., Toshner, M., Openshaw, P.J.M., Altmann, D., Batterham, R., Bishop, N., Calder, P.C., Efstathiou, C.M., Heeney, J.L., Hussell, T., Klenerman, P., Liew, F., Lord, J.M., Moss, P., Rowland-Jones, S.L., Schwaeble, W., Thwaites, R.S., Turtle, L., Walmsley, S., Wraith, D., Rowland, M.J., Rostron, A., Connolly, B., McAuley, D.F., Parekh, D., Simpson, J., Summers, C., Porter, J., Allen, R.J., Aul, R., Barratt, S., Beirne, P., Blaikley, J., Chambers, R.C., Chaudhuri, N., Coleman, C., Denneny, E., Fabbri, L., George, P.M., Gibbons, M., Guillen Guio, B., Hall, I., Hufton, E., Jarrold, I., Jenkins, G., Johnson, S., Jones, M.G., Jones, S., Khan, F., Mehta, P., Mitchell, J., Pearl, J.E., Piper Hanley, K., Rivera-Ortega, P., Saunders, L.C., Smith, D., Spears, M., Spencer, L.G., Stanel, S., Stewart, I., Thickett, D., Thwaites, R., Walsh, S., Wootton, D.G., Wright, L., Heller, S., Davies, M.J., Atkins, H., Bain, S., Dennis, J., Ismail, K., Johnston, D., Kar, P., McArdle, P., McGovern, A., Peto, T., Petrie, J., Robertson, E., Shah, K., Valabhji, J., Young, B., Howard, L.S., Toshner, Mark, Newman, J., Price, L., Reddy, A., Rossdale, J., Sudlow, C., Wilkins, M., Singh, S.J., Man, W.D.-C., Armstrong, N., Baldry, E., Baldwin, M., Basu, N., Beadsworth, M., Bishop, L., Briggs, A., Buch, M., Carson, G., Chinoy, H., Dawson, C., Daynes, E., Defres, S., Gardiner, L., Greenhaff, P., Greenwood, S., Harvie, M., HOuchen-Wolloff, L., MacDonald, S., McArdle, A., McMahon, A., McNarry, M., Mills, G., Nolan, C., O'Donnell, K., Pimm, Sargent, J., Sigfrid, L., Steiner, M., Stensel, D., Tan, A.L., Vogiatzis, I., Whitney, J., Wilson, D., Witham, M., Yates, T., Laing, C., Bramham, K., Chowdhury, P., Frankel, A., Lightstone, L., McAdoo, S., McCafferty, K., Ostermann, M., Selby, N., Sharpe, C., Willicombe, M., Houchen-Wolloff, L., Bunker, J., Gill, R., Hastie, C., Nathu, R., Rogers, N., Smith, N., Shaw, A., Armstrong, L., Hairsine, B., Henson, H., Kurasz, C., Shenton, L., Fairbairn, S., Dell, A., Hawkings, N., Haworth, J., Hoare, M., Lucey, A., Lewis, V., Mallison, G., Nassa, H., Pennington, C., Price, A., Price, C., Storrie, A., Willis, G., Young, S., Chong-James, K., David, C., James, W.Y., Martineau, A., Zongo, O., Sanderson, A., Brown, V., Craig, T., Drain, S., King, B., Magee, N., McAulay, D., Major, E., McGinness, J., Stone, R., Haggar, A., Bolger, A., Davies, F., Lewis, J., Lloyd, A., Manley, R., McIvor, E., Menzies, D., Roberts, K., Saxon, W., Southern, D., Subbe, C., Whitehead, V., El-Taweel, H., Dawson, J., Robinson, L., Saralaya, D., Brear, L., Regan, K., Storton, K., Fuld, J., Bermperi, A., Cruz, I., Dempsey, K., Elmer, A., Jones, H., Jose, S., Marciniak, S., Ribeiro, C., Taylor, J., Watson, L., Worsley, J., Sabit, R., Broad, L., Buttress, A., Evans, T., Haynes, M., Jones, L., Knibbs, L., McQueen, A., Oliver, C., Paradowski, K., Williams, J., Harris, E., Sampson, C., Lynch, C., Davies, E., Evenden, C., Hancock, A., Hancock, K., Rees, M., Roche, L., Stroud, N., Thomas-Woods, T., Babores, M., Bradley-Potts, J., Holland, M., Keenan, N., Shashaa, S., Wassall, H., Beranova, E., Weston, H., Cosier, T., Austin, L., Deery, J., Hazelton, T., Ramos, H., Solly, R., Turney, S., Pearce, L., McCormick, W., Pugmire, S., Stoker, W., Wilson, A., Aguilar Jimenez, L.A., Arbane, G., Betts, S., Bisnauthsing, K., Dewar, A., Kaltsakas, G., Kerslake, H., Magtoto, M.M., Marino, P., Martinez, L.M., Solano, T.S., Wynn, E., Storrar, W., Alvarez Corral, M., Arias, A., Bevan, E., Griffin, D., Martin, J., Owen, J., Payne, S., Prabhu, A., Reed, A., Wrey Brown, C., Burdett, T., Featherstone, J., Layton, A., Mills, C., Stephenson, L., Easom, N., Atkin, P., Brindle, K., Crooks, M.G., Drury, K., Flockton, R., Holdsworth, L., Richards, A., Sykes, D.L., Thackray-Nocera, S., Wright, C., Lewis, K.E., Mohamed, A., Ross, G., Coetzee, S., Davies, K., Hughes, R., Loosley, R., O'Brien, L., Omar, Z., McGuinness, H., Perkins, E., Phipps, J., Taylor, A., Tench, H., Wolf-Roberts, R., Kon, O., Thomas, D.C., Anifowose, S., Burden, L., Calvelo, E., Card, B., Carr, C., Copeland, D., Cullinan, P., Daly, P., Evison, L., Fayzan, T., Gordon, H., Haq, S., King, C., March, K., Mariveles, M., McLeavey, L., Mohamed, N., Moriera, S., Munawar, U., Nunag, J., Nwanguma, U., Orriss-Dib, L., Ross, A., Roy, M., Russell, E., Samuel, K., Schronce, J., Simpson, N., Tarusan, L., Wood, C., Yasmin, N., Reddy, R., Guerdette, A.-M., Hewitt, M., Warwick, K., White, S., Shah, A.M., Jolley, C.J., Adeyemi, O., Adrego, R., Assefa-Kebede, H., Breeze, J., Byrne, S., Dulawan, P., Hayday, A., Hoare, A., Knighton, A., Malim, M., Patale, S., Peralta, I., Powell, N., Ramos, A., Shevket, K., Speranza, F., Te, A., Ashworth, A., Clarke, J., Coupland, C., Dalton, M., Wade, E., Favager, C., Greenwood, J., Glossop, J., Hall, L., Hardy, T., Humphries, A., Murira, J., Rangeley, J., Saalmink, G., Whittam, B., Window, N., Woods, J., Coakley, G., Allerton, L., Berridge, A., Brown, J., Cooper, S., Cross, A., Dobson, S.L., Earley, J., Hainey, K., Hawkes, J., Highett, V., Kaprowska, S., Key, A.L., Koprowska, S., Lewis-Burke, N., Madzamba, G., Malein, F., Marsh, S., Mears, C., Melling, L., Noonan, M.J., Poll, L., Pratt, J., Richardson, E., Rowe, A., Tripp, K.A., Vinson, B., Wajero, L.O., Williams-Howard, S.A., Wyles, J., Diwanji, S.N., Papineni, P., Gurram, S., Quaid, S., Tiongson, G.F., Watson, E., Al-Sheklly, B., Avram, C., Barran, P., Blaikely, J., Choudhury, N., Faluyi, D., Felton, T., Gorsuch, T., Kausar, Z., Odell, N., Osbourne, R., Radhakrishnan, K., Stockdale, S., Trivedi, D., Ayoub, A., Burns, G., Davies, G., Fisher, H., Francis, C., Greenhalgh, A., Hogarth, P., Hughes, J., Jiwa, K., Jones, G., MacGowan, G., Price, D., Tedd, H., Thomas, S., West, S., Wright, S., Young, A., McMahon, M.J., Neill, P., Anderson, D., Bayes, H., Grieve, D., McInnes, I.B., Brown, A., Dougherty, A., Fallon, K., Gilmour, L., Mangion, K., Morrow, A., Scott, K., Sykes, R., Touyz, R., Sage, E.K., Barrett, F., Donaldson, A., Patel, M., Bell, D., Hamil, R., Leitch, K., Macliver, L., Quigley, J., Smith, A., Welsh, B., Choudhury, G., Clohisey, S., Deans, A., Furniss, J., Kelly, S., Newby, D.E., Connell, D., Elliott, A., Deas, C., Mohammed, S., Rowland, J., Solstice, A.R., Sutherland, D., Tee, C.J., Arnold, D., Barrett, S., Adamali, H., Dipper, A., Dunn, S., Morley, A., Morrison, L., Stadon, L., Waterson, S., Welch, H., Jayaraman, B., Light, T., Almeida, P., Bonnington, J., Chrystal, M., Dupont, C., Gupta, A., Howard, L., Jang, W., Linford, S., Matthews, L., Needham, R., Nikolaidis, A., Prosper, S., Shaw, K., Thomas, A.K., Rahman, N.M., Ainsworth, M., Alamoudi, A., Bates, A., Bloss, A., Burns, A., Carter, P., Cassar, M., Channon, K.M., Chen, J., Conneh, F., Dong, T., Evans, R.I., Fraser, E., Fu, X., Havinden-Williams, M., Kanellakis, N., Kurupati, P., Li, X., Megson, C., Motohashi, K., Nicoll, D., Ogg, G., Pacpaco, E., Pavlides, M., Peng, Y., Petousi, N., Propescu, J., Rahman, N., Talbot, N., Tunnicliffe, E., Patel, B., Barker, R.E., Cristiano, D., Dormand, N., Gummadi, M., Kon, S., Liyanage, K., Nolan, C.M., Patel, S., Polgar, O., Shah, P., Walsh, J.A., Jarvis, H., Mandal, S., Ahmad, S., Brill, S., Lim, L., Matila, D., Olaosebikan, O., Singh, C., Garner, L., Johnson, C., Mackie, J., Michael, A., Pack, J., Paques, K., Parfrey, H., Parmar, J., Diar Bakerly, N., Dark, P., Evans, D., Hardy, E., Harvey, A., Holgate, D., Knight, S., Mairs, N., Majeed, N., McMorrow, L., Oxton, J., Pendlebury, J., Summersgill, C., Ugwuoke, R., Whittaker, S., Matimba-Mupaya, W., Strong-Sheldrake, S., Bagshaw, J., Begum, M., Birchall, K., Butcher, R., Carborn, H., Chan, F., Chapman, K., Cheng, Y., Chetham, L., Clark, C., Coburn, Z., Cole, J., Dixon, M., Fairman, A., Finnigan, J., Foot, H., Foote, D., Ford, A., Gregory, R., Harrington, K., Haslam, L., Hesselden, L., Hockridge, J., Holbourn, A., Holroyd-Hind, B., Holt, L., Howell, A., Hurditch, E., Ilyas, F., Jarman, C., Lee, E., Lee, J.-H., Lenagh, R., Lye, A., Macharia, I., Marshall, M., Mbuyisa, A., McNeill, J., Megson, S., Meiring, J., Milner, L., Misra, S., Newell, H., Newman, T., Norman, C., Nwafor, L., Pattenadk, D., Plowright, M., Ravencroft, P., Roddis, C., Rodger, J., Saunders, P., Sidebottom, J., Smith, J., Smith, L., Steele, N., Stephens, G., Stimpson, R., Thamu, B., Tinker, N., Turner, K., Turton, H., Wade, P., Watson, J., Wilson, I., Zawia, A., Ali, M., Dunleavy, A., Msimanga, N., Mencias, M., Samakomva, T., Siddique, S., Teixeira, J., Tavoukjian, V., Hutchinson, J., Allsop, L., Bennett, K., Buckley, P., Flynn, M., Gill, M., Goodwin, C., Greatorex, M., Gregory, H., Heeley, C., Holloway, L., Holmes, M., Kirk, J., Lovegrove, W., Sewell, T.A., Shelton, S., Sissons, D., Slack, K., Smith, S., Sowter, D., Turner, S., Whitworth, V., Wynter, I., Warburton, L., Painter, S., Tomlinson, J., Vickers, C., Wainwright, T., Redwood, D., Tilley, J., Palmer, S., Davies, G.A., Connor, L., Cook, A., Rees, T., Thaivalappil, F., Thomas, C., Butt, A., Coulding, M., Kilroy, S., McCormick, J., McIntosh, J., Savill, H., Turner, V., Vere, J., Fraile, E., Ugoji, J., Kon, S.S., Lota, H., Landers, G., Nasseri, M., Portukhay, S., Hormis, A., Daniels, A., Ingham, J., Zeidan, L., Chablani, M., Osborne, L., Ahwireng, N., Bang, B., Basire, D., Checkley, A., Evans, R., Heightman, M., Hillman, T., Janes, S., Jastrub, R., Lipman, M., Logan, S., Merida Morillas, M., Plant, H., Porter, J.C., Roy, K., Wall, E., Williams, B., Ahmad Haider, N., Atkin, C., Baggott, R., Bates, M., Botkai, A., Casey, A., Cooper, B., Dasgin, J., Draxlbauer, K., Gautam, N., Hazeldine, J., Hiwot, T., Holden, S., Isaacs, K., Kamwa, V., Lewis, D., Madathil, S., McGhee, C., Mcgee, K., Neal, A., Newton Cox, A., Nyaboko, J., Peterkin, Z., Qureshi, H., Ratcliffe, L., Short, J., Soulsby, T., Stockley, J., Suleiman, Z., Thompson, T., Ventura, M., Walder, S., Welch, C., Yasmin, S., Yip, K.P., Beckett, P., Dickens, C., Nanda, U., Aljaroof, M., Arnold, H., Aung, H., Bakali, M., Bakau, M., Bingham, M., Bourne, M., Bourne, C., Cairns, P., Carr, L., Charalambou, A., Christie, C., Diver, S., Edwards, S., Evans, H., Finch, J., Glover, S., Goodman, N., Gootpu, B., Hadley, K., Haldar, P., Ibrahim, W., Ingram, L., Lea, A., Lee, D., McCourt, P., Mcnally, T., Moss, A., Monteiro, W., Pareek, M., Parker, S., Rowland, A., Prickett, A., Qureshi, I.N., Russell, R., Samani, N., Sharma, M., Skeemer, J., Soares, M., Stringer, E., Thornton, T., Tobin, M., Turner, E., Ward, T.J.C., Woodhead, F., Wormleighton, J., Yousuf, A., Childs, C., Fletcher, S., Harvey, M., Marouzet, E., Marshall, B., Samuel, R., Sass, T., Wallis, T., Wheeler, H., Dharmagunawardena, R., Bright, E., Crisp, P., Stern, M., Wight, A., Bailey, L., Reddington, A., Ashish, A., Cooper, J., Robinson, E., Broadley, A., Howard, K., Barman, L., Brookes, C., Elliott, K., Griffiths, L., Guy, Z., Ionita, D., Redfearn, H., Sarginson, C., Turnbull, A., Holmes, K., Lewis, K., Gharibzadeh, Safoora, Routen, Ash, Razieh, Cameron, Zaccardi, Francesco, Lawson, Claire, Gillies, Clare, Heller, Simon, Davies, Melanie, Atkins, Helen, Bain, Stephen C., Lone, Nazir L., Poinasamy, Krisnah, Peto, Tunde, Robertson, Elizabeth, Young, Bob, Johnston, Desmond, Quint, Jennifer, Valabhji, Jonathan, Ismail, Khalida, Marks, Michael, Horsley, Alex, Docherty, Annemarie, Harrison, Ewen, Chalmers, James, Ho, Ling-Pei, Raman, Betty, Brightling, Chris, Elneima, Omer, Evans, Rachel, Greening, Neil, Harris, Victoria C., Houchen-Wolloff, Linzy, Sereno, Marco, Shikotra, Aarti, Singapuri, Amisha, Wain, Louise, Langenberg, Claudia, Dennis, John, Petrie, John, Sattar, Naveed, Leavy, Olivia, Richardson, Mattew, Saunders, Ruth M., McArdle, Anne, McASuley, Hamish, Yates, Tom, and Khunti, Kamlesh
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- 2025
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26. A Likelihood Ratio Approach for Utilizing Case‐Control Data in the Clinical Classification of Rare Sequence Variants: Application to BRCA1 and BRCA2
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Zanti, Maria, O′Mahony, Denise G, Parsons, Michael T, Li, Hongyan, Dennis, Joe, Aittomäkkiki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Aronson, Kristan J, Augustinsson, Annelie, Becher, Heiko, Bojesen, Stig E, Bolla, Manjeet K, Brenner, Hermann, Brown, Melissa A, Buys, Saundra S, Canzian, Federico, Caputo, Sandrine M, Castelao, Jose E, Chang-Claude, Jenny, Collaborators, GC-HBOC study, Czene, Kamila, Daly, Mary B, De Nicolo, Arcangela, Devilee, Peter, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Gentry-Maharaj, Aleksandra, Giele, Willemina RR Geurts-, Giles, Graham G, Glendon, Gord, Goldberg, Mark S, Garcia, Encarna B Gómez, Güendert, Melanie, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Hall, Per, Hamann, Ute, Harkness, Elaine F, Hogervorst, Frans BL, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John L, Houdayer, Claude, Houlston, Richard S, Howell, Anthony, Investigators, ABCTB, Jakimovska, Milena, Jakubowska, Anna, Jernström, Helena, John, Esther M, Kaaks, Rudolf, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Lacey, James V, Lambrechts, Diether, Léoné, Melanie, Lindblom, Annika, Lubiński, Jan, Lush, Michael, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Maria Elena, Menon, Usha, Milne, Roger L, Monteiro, Alvaro N, Murphy, Rachel A, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Offit, Kenneth, Park, Sue K, James, Paul, Peterlongo, Paolo, Peto, Julian, Plaseska-Karanfilska, Dijana, Punie, Kevin, Radice, Paolo, Rashid, Muhammad U, Rennert, Gad, Romero, Atocha, Rosenberg, Efraim H, Saloustros, Emmanouil, Sandler, Dale P, Schmidt, Marjanka K, Schmutzler, Rita K, and Shu, Xiao-Ou
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Biological Sciences ,Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Genetics ,Human Genome ,Cancer ,Prevention ,Breast Cancer ,Genetic Testing ,Biotechnology ,Women's Health ,2.1 Biological and endogenous factors ,Good Health and Well Being ,Humans ,Case-Control Studies ,BRCA2 Protein ,Genetic Predisposition to Disease ,Female ,BRCA1 Protein ,Breast Neoplasms ,Likelihood Functions ,Genetic Variation ,Penetrance ,GC-HBOC study Collaborators ,ABCTB Investigators ,ACMG/AMP ,BRCA ,PS4 ,VUS ,case-control ,likelihood ratio ,variant classification ,Clinical Sciences ,Genetics & Heredity ,Clinical sciences - Abstract
A large number of variants identified through clinical genetic testing in disease susceptibility genes, are of uncertain significance (VUS). Following the recommendations of the American College of Medical Genetics and Genomics (ACMG) and Association for Molecular Pathology (AMP), the frequency in case-control datasets (PS4 criterion), can inform their interpretation. We present a novel case-control likelihood ratio-based method that incorporates gene-specific age-related penetrance. We demonstrate the utility of this method in the analysis of simulated and real datasets. In the analyses of simulated data, the likelihood ratio method was more powerful compared to other methods. Likelihood ratios were calculated for a case-control dataset of BRCA1 and BRCA2 variants from the Breast Cancer Association Consortium (BCAC), and compared with logistic regression results. A larger number of variants reached evidence in favor of pathogenicity, and a substantial number of variants had evidence against pathogenicity - findings that would not have been reached using other case-control analysis methods. Our novel method provides greater power to classify rare variants compared to classical case-control methods. As an initiative from the ENIGMA Analytical Working Group, we provide user-friendly scripts and pre-formatted excel calculators for implementation of the method for rare variants in BRCA1, BRCA2 and other high-risk genes with known penetrance.
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- 2023
27. Representation of s-process abundances for comparison to data from bulk meteorites
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Lugaro, Maria, Ek, Mattias, Pető, Mária, Pignatari, Marco, Makhatadze, Georgy V., Onyett, Isaac J., and Schönbächler, Maria
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Astrophysics - Solar and Stellar Astrophysics ,Astrophysics - Earth and Planetary Astrophysics ,Physics - Geophysics - Abstract
Analysis of bulk meteorite compositions has revealed small isotopic variations due to the presence of material (e.g., stardust) that preserved the signature of nuclear reactions occurring in specific stellar sites. The interpretation of such anomalies provides evidence for the environment of the birth of the Sun, its accretion process, the evolution of the solar proto-planetary disk, and the formation of the planets. A crucial element of such interpretation is the comparison of the observed anomalies to predictions from models of stellar nucleosynthesis. To date, however, this comparison has been limited to a handful of model predictions. This is mostly because the calculated stellar abundances need to be transformed into a specific representation, which nuclear astrophysicists and stellar nucleosynthesis researchers are not familiar with. Here, we show in detail that this representation is needed to account for mass fractionation effects in meteorite data that can be generated both in nature and during instrumental analysis. We explain the required internal normalisation to a selected isotopic ratio, describe the motivations behind such representation more widely, and provide the tools to perform the calculations. Then, we present some examples considering two elements produced by the $slow$ neutron-capture ($s$) process: Sr and Mo. We show which specific representations for the Sr isotopic composition calculated by $s$-process models better disentangle the nucleosynthetic signatures from stars of different metallicity. For Mo, the comparison between data and models is improved due to a recent re-analysis of the $^{95}$Mo neutron-capture cross section., Comment: Accepted for publication in the EPJA Special Issue on: 'From reactors to stars' in honor of Franz K\"appeler
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- 2023
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28. Inhomogeneous enrichment of radioactive nuclei in the Galaxy: Deposition of live Mn-53, Fe-60, Hf-182, and Pu-244 into deep-sea archives. Surfing the wave?
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Wehmeyer, Benjamin, López, Andrés Yagüe, Côté, Benoit, Pető, Maria K., Kobayashi, Chiaki, and Lugaro, Maria
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Astrophysics - Astrophysics of Galaxies - Abstract
While modelling the galactic chemical evolution (GCE) of stable elements provides insights to the formation history of the Galaxy and the relative contributions of nucleosynthesis sites, modelling the evolution of short-lived radioisotopes (SLRs) can provide supplementary timing information on recent nucleosynthesis. To study the evolution of SLRs, we need to understand their spatial distribution. Using a 3-dimensional GCE model, we investigated the evolution of four SLRs: Mn-53, Fe-60, Hf-182, and Pu-244 with the aim of explaining detections of recent (within the last $\approx$1-20 Myr) deposition of live Mn-53, Fe-60, and Pu-244 of extrasolar origin into deep-sea reservoirs. We find that core-collapse supernovae (CCSNe) are the dominant propagation mechanism of SLRs in the Galaxy. This results in the simultaneously arrival of these four SLRs on Earth, although they could have been produced in different astrophysical sites, which can explain why live extrasolar Mn-53, Fe-60, and Pu-244 are found within the same, or similar, layers of deep-sea sediments. We predict that Hf-182 should also be found in such sediments at similar depths., Comment: 22 pages, 11 figures
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- 2023
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29. aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception
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Matuszka, Tamás, Barton, Iván, Butykai, Ádám, Hajas, Péter, Kiss, Dávid, Kovács, Domonkos, Kunsági-Máté, Sándor, Lengyel, Péter, Németh, Gábor, Pető, Levente, Ribli, Dezső, Szeghy, Dávid, Vajna, Szabolcs, and Varga, Bálint
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Autonomous driving is a popular research area within the computer vision research community. Since autonomous vehicles are highly safety-critical, ensuring robustness is essential for real-world deployment. While several public multimodal datasets are accessible, they mainly comprise two sensor modalities (camera, LiDAR) which are not well suited for adverse weather. In addition, they lack far-range annotations, making it harder to train neural networks that are the base of a highway assistant function of an autonomous vehicle. Therefore, we introduce a multimodal dataset for robust autonomous driving with long-range perception. The dataset consists of 176 scenes with synchronized and calibrated LiDAR, camera, and radar sensors covering a 360-degree field of view. The collected data was captured in highway, urban, and suburban areas during daytime, night, and rain and is annotated with 3D bounding boxes with consistent identifiers across frames. Furthermore, we trained unimodal and multimodal baseline models for 3D object detection. Data are available at \url{https://github.com/aimotive/aimotive_dataset}., Comment: The paper was accepted to ICLR 2023 Workshop Scene Representations for Autonomous Driving
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- 2022
30. Random Ising chain in transverse and longitudinal fields: Strong disorder RG study
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Pető, Tamás, Iglói, Ferenc, and Kovács, István A.
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Condensed Matter - Disordered Systems and Neural Networks ,Condensed Matter - Statistical Mechanics - Abstract
Motivated by the compound ${\rm LiHo}_x{\rm Y}_{1-x}{\rm F}_4$, we consider the Ising chain with random couplings and in the presence of simultaneous random transverse and longitudinal fields, and study its low-energy properties at zero temperature by the strong disorder renormalization group approach. In the absence of longitudinal fields, the system exhibits a quantum-ordered and a quantum-disordered phase separated by a critical point of infinite disorder. When the longitudinal random field is switched on, the ordered phase vanishes and the trajectories of the renormalization group are attracted to two disordered fixed points: one is characteristic of the classical random field Ising chain, the other describes the quantum disordered phase. The two disordered phases are separated by a separatrix that starts at the infinite disorder fixed point and near which there are strong quantum fluctuations., Comment: 12 pages, 8 figures
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- 2022
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31. Influence of environmental variables and anthropogenic activities on soda-saline lakes chemistry in northern Tanzania: A remote sensing and GIS approach
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Lameck, Azaria Stephano, Rotich, Brian, Ahmed, Abdalrahman, Kipkulei, Harison K., Akos, Peto, and Boros, Emil
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- 2025
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32. Spirometric pattern and cardiovascular risk: a prospective study of 0.3 million Chinese never-smokers
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Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Li, Liming, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Barnard, Maxim, Bennett, Derrick, Boxall, Ruth, Chan, Ka Hung, Chen, Yiping, Clarke, Charlotte, Clarke, Johnathan, Du, Huaidong, Mohamed, Ahmed Edris, Fry, Hannah, Gilbert, Simon, Im, Pek Kei, Iona, Andri, Kakkoura, Maria, Kartsonaki, Christiana, Kolhe, Kshitij, Lam, Hubert, Lin, Kuang, Liu, James, Mazidi, Mohsen, Millwood, Iona, Morris, Sam, Nie, Qunhua, Pozarickij, Alfred, Rahmati, Maryam, Ryder, Paul, Schmidt, Dan, Stevens, Becky, Turnbull, Iain, Wang, Baihan, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Han, Xiao, Hou, Can, Xia, Qingmei, Liu, Chao, Pei, Pei, Sun, Dianjianyi, Yu, Canqing, Pan, Lang, Pang, Zengchang, Gao, Ruqin, Li, Shanpeng, Duan, Haiping, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Sun, Wei, Yan, Shichun, Cui, Xiaoming, Wang, Chi, Wu, Zhenyuan, Li, Yanjie, Kang, Quan, Luo, Huiming, Ou, Tingting, Zheng, Xiangyang, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Su, Jian, Liu, Fang, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Lin, Mei, Lu, Zhenzhen, Zhou, Lifang, Xie, Changping, Lan, Jian, Zhu, Tingping, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Qin, Yulu, Wang, Sisi, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Chang, Xiaoyu, Yuan, Mingqiang, Wu, Xia, Jiang, Wei, Liu, Jiaqiu, Sun, Qiang, Chen, Faqing, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Kang, Kai, Feng, Shixian, Tian, Huizi, Fan, Lei, Li, XiaoLin, Sun, Huarong, He, Pan, Zhang, Xukui, Yu, Min, Hu, Ruying, Wang, Hao, Zhang, Xiaoyi, Cao, Yuan, Xie, Kaixu, Chen, Lingli, Shen, Dun, Li, Xiaojun, Jin, Donghui, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Xin, Zhang, Hao, Chen, Jianwei, Peng, Yuan, Zhang, Libo, Qu, Chan, Li, Shuya, Qin, Haiqiang, Wang, Yongjun, Chen, Qiling, Wang, Jihua, Sun, Xiaojia, Wang, Lei, Wang, Xun, Zhang, Liming, Zhou, Shanshan, Chen, Hongyuan, Chen, Li, Gou, Haiyan, Wang, Weizhi, Zhu, Yanmei, Zhu, Yulan, Zhang, Ning, Cheng, Xin, Dong, Qiang, Dong, Yi, Fang, Kun, Mao, Yiting, An, Yu, Chen, Peiling, Chen, Yinghua, Liu, Zhihong, Zhang, Lihua, Chen, Xiaohong, Jv, Naixin, Li, Xiaojiu, Liu, Liyang, Lu, Yun, Xing, Xiaona, You, Shihao, Cheng, Xiaoli, Gua, Chaojun, Jiang, Jinping, Liu, Jingyi, Ma, Shumei, Yang, Xuefeng, Du, Xiaomo, Xu, Jian, Yang, Xuecheng, Zhao, Xiaodi, Hao, Zilong, Liu, Ming, Wang, Deren, Li, Xiaoting, Hui, Lili, Liao, Zhanling, Liu, Feng, Feng, Chunning, Ji, Dejiang, Qu, Fengxia, Yuan, Wenwen, Fu, Xin, Ding, Jing, Du, Peng, Jin, Lirong, Mao, Yueshi, Wang, Xin, Ding, Yinqi, and Hu, Jingcen
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- 2025
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33. Origin of Plutonium-244 in the Early Solar System
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Lugaro, Maria, López, Andrés Yagüe, Soós, Benjámin, Côté, Benoit, Pető, Mária, Vassh, Nicole, Wehmeyer, Benjamin, and Pignatari, Marco
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Astrophysics - Solar and Stellar Astrophysics ,Astrophysics - Earth and Planetary Astrophysics ,Astrophysics - Astrophysics of Galaxies ,Nuclear Theory - Abstract
We investigate the origin in the early Solar System of the short-lived radionuclide 244Pu (with a half life of 80 Myr) produced by the rapid (r) neutron-capture process. We consider two large sets of r-process nucleosynthesis models and analyse if the origin of 244Pu in the ESS is consistent with that of the other r and slow (s) neutron-capture process radioactive nuclei. Uncertainties on the r-process models come from both the nuclear physics input and the astrophysical site. The former strongly affects the ratios of isotopes of close mass (129I/127I, 244Pu/238U, and 247Pu/235U). The 129I/247Cm ratio, instead, which involves isotopes of a very different mass, is much more variable than those listed above and is more affected by the physics of the astrophysical site. We consider possible scenarios for the evolution of the abundances of these radioactive nuclei in the galactic interstellar medium and verify under which scenarios and conditions solutions can be found for the origin of 244Pu that are consistent with the origin of the other isotopes. Solutions are generally found for all the possible different regimes controlled by the interval ($\delta$) between additions from the source to the parcel of interstellar medium gas that ended up in the Solar System, relative to decay timescales. If r-process ejecta in interstellar medium are mixed within a relatively small area (leading to a long $\delta$), we derive that the last event that explains the 129I and 247Cm abundances in the early Solar System can also account for the abundance of 244Pu. Due to its longer half life, however, 244Pu may have originated from a few events instead of one only. If r-process ejecta in interstellar medium are mixed within a relatively large area (leading to a short $\delta$), we derive that the time elapsed from the formation of the molecular cloud to the formation of the Sun was 9-16 Myr., Comment: 17 pages, 3 figures, published on Universe as part of the Special Issue "Nuclear Astrophysics in the Era of High Precision Astronomy"
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- 2022
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34. Associations of long-term nitrogen dioxide exposure with a wide spectrum of diseases: a prospective cohort study of 0·5 million Chinese adults
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Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Li, Liming, Lv, Jun, Peto, Richard, Walters, Robin, EdrisMohamed, Ahmed, Pozarickij, Alfred, Iona, Andri, Wang, Baihan, Clarke, Charlotte, Kartsonaki, Christiana, Schmidt, Dan, Avery, Daniel, Bennett, Derrick, Fry, Hannah, Du, Huaidong, Lam, Hubert, Turnbull, Iain, Millwood, Iona, Liu, James, Clarke, Jonathan, Chan, Ka Hung, Kolhe, Kshitij, Lin, Kuang, Wang, Lin, Yang, Ling, Kakkoura, Maria, Rahmati, Maryam, Barnard, Maxim, Mazidi, Mohsen, Wright, Neil, Yao, Pang, Ryder, Paul, Im, Pek Kei, Harish, Prapthi, Nie, Qunhua, Stevens, Rebecca, Boxall, Ruth, Morris, Sam, Gilbert, Simon, Yang, Xiaoming, Chen, Yiping, Han, Xiao, Hou, Can, Xia, Qingmei, Liu, Chao, Pei, Pei, Sun, Dianjianyi, Yu, Canqing, Pan, Lang, Pang, Zengchang, Gao, Ruiqin, Li, Shanpeng, Duan, Haiping, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Sun, Wei, Yan, Shichun, Cui, Xiaoming, Wang, Chi, Wu, Zhenyuan, Li, Yanjie, Kang, Quan, Luo, Huiming, Qu, Tingting, Zheng, Xiangyang, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Su, Jian, Liu, Fang, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Lin, Mei, Lu, Zhenzhen, Zhou, Lifang, Xie, Changping, Lan, Jian, Zhu, Tingping, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Qin, Yulu, Wang, Sisi, Wu, Xiangping, Zhang, Ningmei, Chen, Xiaofang, Chang, Xiaoyu, Yuan, Mingqiang, Wu, Xia, Jiang, Wei, Liu, Jiaqiu, Sun, Qiang, Chen, Faqing, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Kang, Kai, Feng, Shixian, Tian, Huizi, Fan, Lei, Li, Xiaolin, Sun, Huarong, He, Pan, Zhang, Xukui, Yu, Min, Hu, Ruying, Wang, Hao, Zhang, Xiaoyi, Cao, Yuan, Xie, Kaixu, Chen, Lingli, Shen, Dun, Li, Xiaojun, Jin, Donghui, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Xin, Zhang, Hao, Chen, Jianwei, Peng, Yuan, Zhang, Libo, Qu, Chan, Xia, Xi, Meng, Xia, Liu, Cong, Guo, Yi, Li, Xinyue, Niu, Yue, Lam, Kin Bong Hubert, Gao, Ruqin, Wu, Shaowei, and Kan, Haidong
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- 2024
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35. In vivo analysis of hybrid hydrogels containing dual growth factor combinations, and skeletal stem cells under mechanical stimulation for bone repair
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Gothard, David, Rotherham, Michael, Smith, Emma L., Kanczler, Janos M., Henstock, James, Wells, Julia A., Roberts, Carol A., Qutachi, Omar, Peto, Heather, Rashidi, Hassan, Rojo, Luis, White, Lisa J., Stevens, Molly M., El Haj, Alicia J., Rose, Felicity R.A.J., and Oreffo, Richard O.C.
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- 2024
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36. Identifying the severity of diabetic retinopathy by visual function measures using both traditional statistical methods and interpretable machine learning: a cross-sectional study
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Wright, David M., Chakravarthy, Usha, Das, Radha, Graham, Katie W., Naskas, Timos T., Perais, Jennifer, Kee, Frank, Peto, Tunde, and Hogg, Ruth E.
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- 2023
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37. The RADIOSTAR Project
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Lugaro, Maria, Côté, Benoit, Pignatari, Marco, López, Andrés Yagüe, Brinkman, Hannah, Cseh, Borbála, Hartogh, Jacqueline Den, Doherty, Carolyn Louise, Karakas, Amanda Irene, Kobayashi, Chiaki, Lawson, Thomas, Pető, Mária, Soós, Benjámin, Trueman, Thomas, and Világos, Blanka
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Astrophysics - Solar and Stellar Astrophysics ,Astrophysics - Earth and Planetary Astrophysics ,Astrophysics - Astrophysics of Galaxies - Abstract
Radioactive nuclei are the key to understanding the circumstances of the birth of our Sun because meteoritic analysis has proven that many of them were present at that time. Their origin, however, has been so far elusive. The ERC-CoG-2016 RADIOSTAR project is dedicated to investigating the production of radioactive nuclei by nuclear reactions inside stars, their evolution in the Milky Way Galaxy, and their presence in molecular clouds. So far, we have discovered that: (i) radioactive nuclei produced by slow ($^{107}$Pd and $^{182}$Hf) and rapid ($^{129}$I and $^{247}$Cm) neutron captures originated from stellar sources - asymptotic giant branch (AGB) stars and compact binary mergers, respectively - within the galactic environment that predated the formation of the molecular cloud where the Sun was born; (ii) the time that elapsed from the birth of the cloud to the birth of the Sun was of the order of 10$^7$ years, and (iii) the abundances of the very short-lived nuclei $^{26}$Al, $^{36}$Cl, and $^{41}$Ca can be explained by massive star winds in single or binary systems, if these winds directly polluted the early Solar System. Our current and future work, as required to finalise the picture of the origin of radioactive nuclei in the Solar System, involves studying the possible origin of radioactive nuclei in the early Solar System from core-collapse supernovae, investigating the production of $^{107}$Pd in massive star winds, modelling the transport and mixing of radioactive nuclei in the galactic and molecular cloud medium, and calculating the galactic chemical evolution of $^{53}$Mn and $^{60}$Fe and of the p-process isotopes $^{92}$Nb and $^{146}$Sm., Comment: accepted for publication on Universe Special Issue AGB Stars - In Honor of Professor Maurizio Busso on the Occasion of His 70th Birthday
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- 2022
38. Exploring uncatalogued genetic variation in antimicrobial resistance gene families in Escherichia coli: an observational analysis
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Lipworth, Samuel, Crook, Derrick, Walker, A Sarah, Peto, Tim, and Stoesser, Nicole
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- 2024
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39. One-size-fits-all versus risk-category-based screening interval strategies for cardiovascular disease prevention in Chinese adults: a prospective cohort study
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Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Li, Liming, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Barnard, Maxim, Bennett, Derrick, Belbasis, Lazaros, Boxall, Ruth, Chan, Ka Hung, Chen, Yiping, Clarke, Charlotte, Clarke, Johnathan, Du, Huaidong, Mohamed, Ahmed Edris, Fry, Hannah, Gilbert, Simon, Im, Pek Kei, Iona, Andri, Kakkoura, Maria, Kartsonaki, Christiana, Lam, Hubert, Lin, Kuang, Liu, James, Mazidi, Mohsen, Millwood, Iona, Morris, Sam, Nie, Qunhua, Pozarickij, Alfred, Rahmati, Maryanm, Ryder, Paul, Said, Saredo, Schmidt, Dan, Stevens, Becky, Turnbull, Iain, Wang, Baihan, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Han, Xiao, Hou, Can, Xia, Qingmei, Liu, Chao, Pei, Pei, Sun, Dianjianyi, Yu, Canqing, Pan, Lang, Pang, Zengchang, Gao, Ruqin, Li, Shanpeng, Duan, Haiping, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Sun, Wei, Yan, Shichun, Cui, Xiaoming, Wang, Chi, Wu, Zhenyuan, Li, Yanjie, Kang, Quan, Luo, Huiming, Ou, Tingting, Zheng, Xiangyang, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Fang Liu, Jian Su., Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Lin, Mei, Lu, Zhenzhen, Zhou, Lifang, Xie, Changping, Lan, Jian, Zhu, Tingping, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Qin, Yulu, Wang, Sisi, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Chang, Xiaoyu, Yuan, Mingqiang, Wu, Xia, Jiang, Wei, Liu, Jiaqiu, Sun, Qiang, Chen, Faqing, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Kang, Kai, Feng, Shixian, Tian, Huizi, Fan, Lei, Li, XiaoLin, Sun, Huarong, He, Pan, Zhang, Xukui, Yu, Min, Hu, Ruying, Wang, Hao, Zhang, Xiaoyi, Cao, Yuan, Xie, Kaixu, Chen, Lingli, Shen, Dun, Li, Xiaojun, Jin, Donghui, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Xin, Zhang, Hao, Chen, Jianwei, Peng, Yuan, Zhang, Libo, Qu, Chan, Sun, Zhijia, Ma, Yu, and Pang, Yuanjie
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- 2024
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40. Periodontitis and Outer Retinal Thickness: a Cross-Sectional Analysis of the United Kingdom Biobank Cohort
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Allen, Naomi, Aslam, Tariq, Atan, Denize, Balaskas, Konsantinos, Barman, Sarah A., Barrett, Jenny H., Bishop, Paul, Black, Graeme, Braithwaite, Tasanee, Carare, Roxana O., Chakravarthy, Usha, Chan, Michelle, Chua, Sharon Y.L., Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew D., Doney, Alexander, Egan, Cathy, Ennis, Sarah, Foster, Paul, Fruttiger, Marcus, Gallacher, John E.J., Garway-Heath, David F., Gibson, Jane, Guggenheim, Jeremy A., Hammond, Chris J., Hardcastle, Alison, Harding, Simon P., Hogg, Ruth E., Hysi, Pirro, Keane, Pearse A., Khaw, Sir Peng T., Khawaja, Anthony P., Lascaratos, Gerassimos, Littlejohns, Thoams, Lotery, Andrew J., Luben, Robert, Luthert, Phil, Macgillivray, Tom, Mackie, Sarah, McGuinness, Bernadette, McKay, Gareth J., McKibbin, Martin, Moore, Tony, Morgan, James E., O’Sullivan, Eoin, Oram, Richard, Owen, Chris G., Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Rahi, Jugnoo S., Rudnikca, Alicja R., Sattar, Naveed, Self, Jay, Sergouniotis, Panagiotis, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Sun, Zihan, Tapp, Robyn, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vitart, Veronique, Viswanathan, Ananth C., Weedon, Mike, Williams, Cathy, Williams, Katie, Woodside, Jayne V., Yates, Max M., Yip, Jennifer, Zheng, Yalin, Wagner, Siegfried K., Patel, Praveen J., Huemer, Josef, Khalid, Hagar, Stuart, Kelsey V., Chu, Colin J., Williamson, Dominic J., Struyven, Robbert R., Romero-Bascones, David, Foster, Paul J., Balaskas, Konstantinos, Cortina-Borja, Mario, Chapple, Iain, Dietrich, Thomas, and Denniston, Alastair K.
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- 2024
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41. A crowd of BashTheBug volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates
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Fowler, Philip W, Wright, Carla, Spiers, Helen, Zhu, Tingting, Baeten, Elisabeth ML, Hoosdally, Sarah W, Cruz, Ana L Gibertoni, Roohi, Aysha, Kouchaki, Samaneh, Walker, Timothy M, Peto, Timothy EA, Miller, Grant, Lintott, Chris, Clifton, David, Crook, Derrick W, Walker, A Sarah, Barilar, Ivan, Battaglia, Simone, Borroni, Emanuele, Brandao, Angela Pires, Brankin, Alice, Cabibbe, Andrea Maurizio, Carter, Joshua, Cirillo, Daniela Maria, Claxton, Pauline, Clifton, David A, Cohen, Ted, Coronel, Jorge, Earle, Sarah G, Escuyer, Vincent, Ferrazoli, Lucilaine, Gao, George F, Gardy, Jennifer, Gharbia, Saheer, Ghisi, Kelen Teixeira, Ghodousi, Arash, Cruz, Ana Luıza Gibertoni, Grazian, Clara, Guthrie, Jennifer L, He, Wencong, Hoffmann, Harald, Hoosdally, Sarah J, Hunt, Martin, Iqbal, Zamin, Ismail, Nazir Ahmed, Jarrett, Lisa, Joseph, Lavania, Jou, Ruwen, Kambli, Priti, Knaggs, Jeff, Koch, Anastasia, Kohlerschmidt, Donna, Lachapelle, Alexander S, Lalvani, Ajit, Lapierre, Simon Grandjean, Laurenson, Ian F, Letcher, Brice, Lin, Wan-Hsuan, Liu, Chunfa, Liu, Dongxin, Malone, Kerri M, Mandal, Ayan, Matias, Daniela, Meintjes, Graeme, Mendes, Flavia Freitas, Merker, Matthias, Mihalic, Marina, Millard, James, Miotto, Paolo, Mistry, Nerges, Moore, David, Dreyer, Viola, Chetty, Darren, Musser, Kimberlee A, Ngcamu, Dumisani, Nhung, Hoang Ngoc, Grandjean, Louis, Nilgiriwala, Kayzad Soli, Nimmo, Camus, Okozi, Nana, Oliveira, Rosangela Siqueira, Omar, Shaheed Vally, Paton, Nicholas, Pinhata, Juliana Maira Watanabe, Plesnik, Sara, Puyen, Zully M, Rabodoarivelo, Marie Sylvianne, Rakotosamimanana, Niaina, Rancoita, Paola MV, Rathod, Priti, Robinson, Esther, Rodger, Gillian, Rodrigues, Camilla, Rodwell, Timothy C, and Santos-Lazaro, David
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Biological Sciences ,Biomedical and Clinical Sciences ,Clinical Sciences ,Emerging Infectious Diseases ,Infectious Diseases ,Prevention ,Antimicrobial Resistance ,5.1 Pharmaceuticals ,Development of treatments and therapeutic interventions ,Infection ,Good Health and Well Being ,Antitubercular Agents ,Humans ,Microbial Sensitivity Tests ,Mycobacterium tuberculosis ,Tuberculosis ,Volunteers ,Zooniverse Volunteer Community ,CRyPTIC Consortium ,M. tuberculosis ,antibiotics ,citizen science ,clinical microbiology ,infectious disease ,microbiology ,tuberculosis ,Biochemistry and Cell Biology ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Tuberculosis is a respiratory disease that is treatable with antibiotics. An increasing prevalence of resistance means that to ensure a good treatment outcome it is desirable to test the susceptibility of each infection to different antibiotics. Conventionally, this is done by culturing a clinical sample and then exposing aliquots to a panel of antibiotics, each being present at a pre-determined concentration, thereby determining if the sample isresistant or susceptible to each sample. The minimum inhibitory concentration (MIC) of a drug is the lowestconcentration that inhibits growth and is a more useful quantity but requires each sample to be tested at a range ofconcentrations for each drug. Using 96-well broth micro dilution plates with each well containing a lyophilised pre-determined amount of an antibiotic is a convenient and cost-effective way to measure the MICs of several drugs at once for a clinical sample. Although accurate, this is still an expensive and slow process that requires highly-skilled and experienced laboratory scientists. Here we show that, through the BashTheBug project hosted on the Zooniverse citizen science platform, a crowd of volunteers can reproducibly and accurately determine the MICs for 13 drugs and that simply taking the median or mode of 11-17 independent classifications is sufficient. There is therefore a potential role for crowds to support (but not supplant) the role of experts in antibiotic susceptibility testing.
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- 2022
42. The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis
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Walker, Timothy M, Miotto, Paolo, Köser, Claudio U, Fowler, Philip W, Knaggs, Jeff, Iqbal, Zamin, Hunt, Martin, Chindelevitch, Leonid, Farhat, Maha R, Cirillo, Daniela Maria, Comas, Iñaki, Posey, James, Omar, Shaheed V, Peto, Timothy EA, Suresh, Anita, Uplekar, Swapna, Laurent, Sacha, Colman, Rebecca E, Nathanson, Carl-Michael, Zignol, Matteo, Walker, Ann Sarah, Crook, Derrick W, Ismail, Nazir, Rodwell, Timothy C, Consortium, the SeqTreat Consortium CRyPTIC, Walker, A Sarah, Steyn, Adrie JC, Lalvani, Ajit, Baulard, Alain, Christoffels, Alan, Mendoza-Ticona, Alberto, Trovato, Alberto, Skrahina, Alena, Lachapelle, Alexander S, Brankin, Alice, Piatek, Amy, Cruz, Ana Gibertoni, Koch, Anastasia, Cabibbe, Andrea Maurizio, Spitaleri, Andrea, Brandao, Angela P, Chaiprasert, Angkana, Barbova, Anna, Van Rie, Annelies, Ghodousi, Arash, Bainomugisa, Arnold, Mandal, Ayan, Roohi, Aysha, Javid, Babak, Zhu, Baoli, Letcher, Brice, Rodrigues, Camilla, Nimmo, Camus, NATHANSON, Carl-Michael, Duncan, Carla, Coulter, Christopher, Utpatel, Christian, Liu, Chunfa, Grazian, Clara, Kong, Clare, Wilson, Daniel J, Matias, Daniela, Jorgensen, Danielle, Zimenkov, Danila, Chetty, Darren, Moore, David AJ, Clifton, David A, van Soolingen, Dick, Liu, Dongxin, Kohlerschmidt, Donna, Barreira, Draurio, Ngcamu, Dumisani, Lazaro, Elias David Santos, Kelly, Ellis, Borroni, Emanuele, Roycroft, Emma, Andre, Emmanuel, Böttger, Erik C, Robinson, Esther, Menardo, Fabrizio, Mendes, Flavia F, Jamieson, Frances B, Coll, Francesc, Gao, George Fu, Kasule, George W, Rossolini, Gian Maria, Rodger, Gillian, Smith, E Grace, Meintjes, Graeme, Thwaites, Guy, Hoffmann, Harald, Albert, Heidi, Cox, Helen, Laurenson, Ian F, and Arandjelovic, Irena
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Microbiology ,Clinical Sciences ,Tuberculosis ,Infectious Diseases ,Rare Diseases ,Antimicrobial Resistance ,Orphan Drug ,Development of treatments and therapeutic interventions ,5.1 Pharmaceuticals ,Infection ,Good Health and Well Being ,Antitubercular Agents ,Drug Resistance ,Ethambutol ,Microbial Sensitivity Tests ,Mutation ,Mycobacterium tuberculosis ,World Health Organization ,CRyPTIC Consortium ,Seq&Treat Consortium ,Immunology ,Medical microbiology - Abstract
BackgroundMolecular diagnostics are considered the most promising route to achieving rapid, universal drug susceptibility testing for Mycobacterium tuberculosiscomplex (MTBC). We aimed to generate a WHO endorsed catalogue of mutations to serve as a global standard for interpreting molecular information for drug resistance prediction.MethodsA candidate gene approach was used to identify mutations as associated with resistance, or consistent with susceptibility, for 13 WHO endorsed anti-tuberculosis drugs. 38,215 MTBC isolates with paired whole-genome sequencing and phenotypic drug susceptibility testing data were amassed from 45 countries. For each mutation, a contingency table of binary phenotypes and presence or absence of the mutation computed positive predictive value, and Fisher's exact tests generated odds ratios and Benjamini-Hochberg corrected p-values. Mutations were graded as Associated with Resistance if present in at least 5 isolates, if the odds ratio was >1 with a statistically significant corrected p-value, and if the lower bound of the 95% confidence interval on the positive predictive value for phenotypic resistance was >25%. A series of expert rules were applied for final confidence grading of each mutation.Findings15,667 associations were computed for 13,211 unique mutations linked to one or more drugs. 1,149/15,667 (7·3%) mutations were classified as associated with phenotypic resistance and 107/15,667 (0·7%) were deemed consistent with susceptibility. For rifampicin, isoniazid, ethambutol, fluoroquinolones, and streptomycin, the mutations' pooled sensitivity was >80%. Specificity was over 95% for all drugs except ethionamide (91·4%), moxifloxacin (91·6%) and ethambutol (93·3%). Only two resistance mutations were classified for bedaquiline, delamanid, clofazimine, and linezolid as prevalence of phenotypic resistance was low for these drugs.InterpretationThis first WHO endorsed catalogue of molecular targets for MTBC drug susceptibility testing provides a global standard for resistance interpretation. Its existence should encourage the implementation of molecular diagnostics by National Tuberculosis Programmes.FundingUNITAID, Wellcome, MRC, BMGF.
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- 2022
43. Extreme statistics of the excitations in the random transverse Ising chain
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Kovács, István A., Pető, Tamás, and Iglói, Ferenc
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Condensed Matter - Disordered Systems and Neural Networks ,Condensed Matter - Statistical Mechanics - Abstract
In random quantum magnets, like the random transverse Ising chain, the low energy excitations are localized in rare regions and there are only weak correlations between them. It is a fascinating question whether these correlations are completely irrelevant in the sense of the renormalization group. To answer this question, we calculate the distribution of the excitation energy of the random transverse Ising chain in the disordered Griffiths phase with high numerical precision by the strong disorder renormalization group method and - for shorter chains - by free-fermion techniques. Asymptotically, the two methods give identical results, which are well fitted by the Fr\'echet limit law of the extremes of independent and identically distributed random numbers. Given the finite size corrections, the two numerical methods give very similar results, but they differ from the correction term for uncorrelated random variables. This fact shows that the weak correlations between low-energy excitations in random quantum magnets are not entirely irrelevant., Comment: 10 pages, 4 figures
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- 2021
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44. Clustering of malaria in households in the Greater Mekong Subregion: operational implications for reactive case detection
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Mukaka, Mavuto, Peerawaranun, Pimnara, Parker, Daniel M, Kajeechiwa, Ladda, Nosten, Francois H, Nguyen, Thuy-Nhien, Hien, Tran Tinh, Tripura, Rupam, Peto, Thomas J, Phommasone, Koukeo, Mayxay, Mayfong, Newton, Paul N, Imwong, Mallika, Day, Nicholas PJ, Dondorp, Arjen M, White, Nicholas J, and von Seidlein, Lorenz
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Medical Microbiology ,Biomedical and Clinical Sciences ,Clinical Sciences ,Vector-Borne Diseases ,Rare Diseases ,Clinical Research ,Infectious Diseases ,Malaria ,Infection ,Good Health and Well Being ,Asia ,Southeastern ,Case Management ,Cluster Analysis ,Family Characteristics ,Prevalence ,Microbiology ,Public Health and Health Services ,Tropical Medicine ,Medical microbiology ,Public health - Abstract
BackgroundMalaria reactive case detection is the testing and, if positive, treatment of close contacts of index cases. It is included in national malaria control programmes of countries in the Greater Mekong Subregion to accelerate malaria elimination. Yet the value of reactive case detection in the control and elimination of malaria remains controversial because of the low yield, limited evidence for impact, and high demands on resources.MethodsData from the epidemiological assessments of large mass drug administration (MDA) studies in Myanmar, Vietnam, Cambodia and Laos were analysed to explore malaria infection clustering in households. The proportion of malaria positive cases among contacts screened in a hypothetical reactive case detection programme was then determined. The parasite density thresholds for rapid diagnostic test (RDT) detection was assumed to be > 50/µL (50,000/mL), for dried-blood-spot (DBS) based PCR > 5/µL (5000/mL), and for ultrasensitive PCR (uPCR) with a validated limit of detection at 0.0022/µL (22/mL).ResultsAt baseline, before MDA, 1223 Plasmodium infections were detected by uPCR in 693 households. There was clustering of Plasmodium infections. In 637 households with asymptomatic infections 44% (278/637) had more than one member with Plasmodium infections. In the 132 households with symptomatic infections, 65% (86/132) had more than one member with Plasmodium infections. At baseline 4% of households had more than one Plasmodium falciparum infection, but three months after MDA no household had more than one P. falciparum infected member. Reactive case detection using DBS PCR would have detected ten additional cases in six households, and an RDT screen would have detected five additional cases in three households among the 169 households with at least one RDT positive case. This translates to 19 and 9 additional cases identified per 1000 people screened, respectively. Overall, assuming all febrile RDT positive patients would seek treatment and provoke reactive case detection using RDTs, then 1047 of 1052 (99.5%) Plasmodium infections in these communities would have remained undetected.ConclusionReactive case detection in the Greater Mekong subregion is predicted to have a negligible impact on the malaria burden, but it has substantial costs in terms of human and financial resources.
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- 2021
45. Favipiravir does not improve viral clearance in mild to moderate COVID-19 – A systematic review and meta-analysis of randomized controlled trials
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Bahar, Muh Akbar, Kusuma, Ikhwan Yuda, Visnyovszki, Ádám, Matuz, Mária, Benkő, Ria, Ferenci, Tamás, Szabó, Bálint Gergely, Hajdú, Edit, Pető, Zoltán, and Csupor, Dezső
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- 2024
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46. Accuracy of Integrated Artificial Intelligence Grading Using Handheld Retinal Imaging in a Community Diabetic Eye Screening Program
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Salongcay, Recivall P., Aquino, Lizzie Anne C., Alog, Glenn P., Locaylocay, Kaye B., Saunar, Aileen V., Peto, Tunde, and Silva, Paolo S.
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- 2024
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47. Distinct patterns of vital sign and inflammatory marker responses in adults with suspected bloodstream infection
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Gu, Qingze, Wei, Jia, Yoon, Chang Ho, Yuan, Kevin, Jones, Nicola, Brent, Andrew, Llewelyn, Martin, Peto, Tim E.A., Pouwels, Koen B., Eyre, David W., and Walker, A.Sarah
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- 2024
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48. Association between health insurance cost-sharing and choice of hospital tier for cardiovascular diseases in China: a prospective cohort study
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Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Li, Liming, Wang, Chen, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Barnard, Maxim, Bennett, Derrick, Boxall, Ruth, Chan, Kahung, Chen, Yiping, Clarke, Johnathan, Du, Huaidong, Mohamed, Ahmed Edris, Fry, Hannah, Gilbert, Simon, Im, Pek Kei, Iona, Andri, Kakkoura, Maria, Kartsonaki, Christiana, Lam, Hubert, Lin, Kuang, Liu, James, Mazidi, Mohsen, Millwood, Iona, Morris, Sam, Nie, Qunhua, Pozaricki, Alfred, Ryder, Paul, Said, Saredo, Schmidt, Dan, Stevens, Becky, Turnbull, Iain, Wang, Baihan, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Han, Xiao, Hou, Can, Xia, Qingmei, Liu, Chao, Pei, Pei, Sun, Dianjianyi, Yu, Canqing, Chen, Naying, Liu, Duo, Tang, Zhenzhu, Chen, Ningyu, Jiang, Qilian, Lan, Jian, Li, Mingqiang, Liu, Yun, Meng, Fanwen, Meng, Jinhuai, Pan, Rong, Qin, Yulu, Wang, Ping, Wang, Sisi, Wei, Liuping, Zhou, Liyuan, Dong, Caixia, Ge, Pengfei, Ren, Xiaolan, Li, Zhongxiao, Mao, Enke, Wang, Tao, Zhang, Hui, Zhang, Xi, Chen, Jinyan, Hu, Ximin, Wang, Xiaohuan, Guo, Zhendong, Li, Huimei, Li, Yilei, Weng, Min, Wu, Shukuan, Yan, Shichun, Zou, Mingyuan, Zhou, Xue, Guo, Ziyan, Kang, Quan, Li, Yanjie, Yu, Bo, Xu, Qinai, Chang, Liang, Fan, Lei, Feng, Shixian, Zhang, Ding, Zhou, Gang, Gao, Yulian, He, Tianyou, He, Pan, Hu, Chen, Sun, Huarong, Zhang, Xukui, Chen, Biyun, Fu, Zhongxi, Huang, Yuelong, Liu, Huilin, Xu, Qiaohua, Yin, Li, Long, Huajun, Xu, Xin, Zhang, Hao, Zhang, Libo, Su, Jian, Tao, Ran, Wu, Ming, Yang, Jie, Zhou, Jinyi, Zhou, Yonglin, Hu, Yihe, Hua, Yujie, Jin, Jianrong, Liu, Fang, Liu, Jingchao, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Jun, Cheng, Liang, Du, Ranran, Gao, Ruqin, Li, Feifei, Li, Shanpeng, Liu, Yongmei, Ning, Feng, Pang, Zengchang, Sun, Xiaohui, Tian, Xiaocao, Wang, Shaojie, Zhai, Yaoming, Zhang, Hua, Hou, Wei, Lv, Silu, Wang, Junzheng, Chen, Xiaofang, Wu, Xianping, Zhang, Ningmei, Chang, Xiaoyu, Li, Jianguo, Liu, Jiaqiu, Luo, Guojin, Sun, Qiang, Zhong, Xunfu, Gong, Weiwei, Hu, Ruying, Wang, Hao, Wang, Meng, Yu, Min, Chen, Lingli, Gu, Qijun, Pan, Dongxia, Wang, Chunmei, Xie, Kaixu, Zhang, Xiaoyi, Chen, Hongyuan, Liu, Liyang, Gou, Haiyan, Wang, Xun, Ding, Jing, Zhang, Ning, Mao, Yueshi, Zhou, Shanshan, Jin, Lirong, Cheng, Xin, Lu, Yun, Chen, Li, Hao, Zilong, Xing, Xiaona, Wang, Lei, Ju, Naixin, Mao, Yiting, Li, Shuya, Du, Peng, Wang, Deren, Sun, Xiaojia, You, Shihao, Wang, Weizhi, Zhu, Yanmei, Li, Xiaojiu, Dong, Yi, Levy, Muriel, Buckell, John, Wu, Nina, Yip, Winnie, and Mihaylova, Borislava
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- 2024
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49. Associations between unilateral amblyopia in childhood and cardiometabolic disorders in adult life: a cross-sectional and longitudinal analysis of the UK Biobank
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Allen, Naomi, Aslam, Tariq, Atan, Denize, Balaskas, Konstantinos, Barman, Sarah, Barrett, Jenny, Bishop, Paul, Black, Graeme, Braithwaite, Tasanee, Carare, Roxana, Chakravarthy, Usha, Chan, Michelle, Chua, Sharon, Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew, Doney, Alexander, Egan, Cathy, Ennis, Sarah, Foster, Paul, Fruttiger, Marcus, Gallacher, John, Garway-heath, David (Ted), Gibson, Jane, Guggenheim, Jeremy, Hammond, Chris, Hardcastle, Alison, Harding, Simon, Hogg, Ruth, Hysi, Pirro, Keane, Pearse, Tee Khaw, Sir Peng, Khawaja, Anthony, Lascaratos, Gerassimos, Littlejohns, Thomas, Lotery, Andrew, Luben, Robert, Luthert, Phil, Macgillivray, Tom, Mackie, Sarah, Madhusudhan, Savita, Mcguinness, Bernadette, Mckay, Gareth, Mckibbin, Martin, Moore, Tony, Morgan, James, O'sullivan, Eoin, Oram, Richard, Owen, Chris, Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Pontikos, Nikolas, Rahi, Jugnoo, Rudnicka, Alicja, Sattar, Naveed, Self, Jay, Sergouniotis, Panagiotis, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Sun, Zihan, Tapp, Robyn, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Viswanathan, Ananth, Vitart, Veronique, Weedon, Mike, Williams, Katie, Williams, Cathy, Woodside, Jayne, Yates, Max, Zheng, Yalin, Thomas, Mervyn, Wagner, Siegfried Karl, Bountziouka, Vasiliki, and Rahi, Jugnoo Sangeeta
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- 2024
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50. Causal association between snoring and stroke: a Mendelian randomization study in a Chinese population
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Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Guo, Yu, Li, Liming, Lv, Jun, Peto, Richard, Walter, Robin, Avery, Daniel, Bennett, Derrick, Boxall, Ruth, Burgess, Sue, Chan, Ka Hung, Chang, Yumei, Chen, Yiping, Clarke, Johnathan, Du, Huaidong, Mohamed, Ahmed Edris, Fairhurst-Hunter, Zammy, Fry, Hannah, Hill, Mike, Holmes, Michael, Im, Pek Kei, Iona, Andri, Kakkoura, Maria, Kartsonaki, Christiana, Kerosi, Rene, Lin, Kuang, Mazidi, Mohsen, Millwood, Iona, Morris, Sam, Nie, Qunhua, Pozarickij, Alfred, Ryder, Paul, Said, Saredo, Schmidt, Dan, Sherliker, Paul, Stevens, Becky, Turnbull, Iain, Walters, Robin, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Han, Xiao, Hou, Can, Pei, Pei, Liu, Chao, Yu, Canqing, Xia, Qingmei, Pang, Zengchang, Gao, Ruqin, Li, Shanpeng, Duan, Haiping, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Sun, Wei, Yan, Shichun, Cui, Xiaoming, Wang, Chi, Wu, Zhenyuan, Li, Yanjie, Kang, Quan, Luo, Huiming, Ou, Tingting, Zheng, Xiangyang, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Su, Jian, Liu, Fang, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Lin, Mei, Lu, Zhenzhen, Zhou, Lifang, Xie, Changping, Lan, Jian, Zhu, Tingping, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Qin, Yulu, Wang, Sisi, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Chang, Xiaoyu, Yuan, Mingqiang, Wu, Xia, Jiang, Wei, Liu, Jiaqiu, Sun, Qiang, Chen, Faqing, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, zhang, Xi, Kang, Kai, Feng, Shixian, Tian, Huizi, Fan, Lei, Li, XiaoLin, Sun, Huarong, He, Pan, Zhang, Xukui, Yu, Min, Hu, Ruying, Wang, Hao, Zhang, Xiaoyi, Cao, Yuan, Xie, Kaixu, Chen, Lingli, Shen, Dun, Li, Xiaojun, Jin, Donghui, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Xin, Zhang, Hao, Chen, Jianwei, Peng, Yuan, Zhang, Libo, Qu, Chan, Zhu, Yunqing, Zhuang, Zhenhuang, Sun, Dianjianyi, Millwood, Iona Y., and Walters, Robin G.
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- 2024
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