Epidemiología molecular y análisis filogenético de la infección por el virus del papiloma humano en mujeres con lesiones cervicales y cáncer en la región litoral del Ecuador

The aim of the present study was to gather information regarding the molecular epidemiology of Human papillomavirus (HPV) and related risk factors in a group of women with low- and high-grade cervical lesions and cancer from the coastal region of Ecuador. In addition, we studied the evolution of HPV variants from the most prevalent types and provided a temporal framework for their emergence, which may help to trace the source of dissemination within the region. We analyzed 166 samples, including 57 CIN1, 95 CIN2/3 and 14 cancer cases. HPV detection and typing was done by PCR-sequencing (MY09/MY11). HPV variants and estimation of the time to most recent common ancestor (tMRCA) was assessed through phylogeny and coalescence analysis. HPV DNA was found in 54.4% of CIN1, 74.7% of CIN2/3 and 78.6% of cancer samples. HPV16 (38.9%) and HPV58 (19.5%) were the most prevalent types. Risk factors for the development of cervical lesions/cancer were the following: three or more pregnancies (OR = 4.3), HPV infection (OR = 3.7 for high-risk types; OR = 3.5 for HPV16), among others. With regard to HPV evolution, HPV16 isolates belonged to lineages A (69%) and D (31%) whereas HPV58 isolates belonged only to lineage A. The period of emergence of HPV16 was in association with human populations (tMRCA = 91. 052 years for HPV16A and 27. 000 years for HPV16D), whereas HPV58A preceded Homo sapiens evolution (322. 257 years). This study provides novel data on HPV epidemiology and evolution in Ecuador, which will be fundamental in the vaccine era.Fil: Bedoya Pilozo, Cesar H.. Escuela Superior Politécnica del Litoral; Ecuador. Instituto Nacional de Investigaciones en Salud Pública; EcuadorFil: Medina Magües, Lex G.. Escuela Superior Politécnica del Litoral; EcuadorFil: Espinosa García, Maylen. Instituto Nacional de Investigaciones en Salud Pública; EcuadorFil: Sánchez, Martha. Instituto Nacional de Investigaciones en Salud Pública; EcuadorFil: Parrales Valdiviezo, Johanna V.. Instituto Nacional de Investigaciones en Salud Pública; EcuadorFil: Molina, Denisse. Instituto Nacional de Investigaciones en Salud Pública; EcuadorFil: Ibarra, María A.. Instituto Nacional de Investigaciones en Salud Pública; EcuadorFil: Quimis Ponce, María. Instituto Nacional de Investigaciones en Salud Pública; EcuadorFil: España, Karool. Instituto Nacional de Investigaciones en Salud Pública; EcuadorFil: Párraga Macias, Karla E.. Instituto Nacional de Investigaciones en Salud Pública; EcuadorFil: Cajas Flores, Nancy V.. Instituto Nacional de Investigaciones en Salud Pública; EcuadorFil: Solon, Orlando A.. Instituto Nacional de Investigaciones en Salud Pública; Ecuador. Universidad Agraria del Ecuador; EcuadorFil: Robalino Penaherrera, Jorge A.. Instituto Nacional de Investigaciones en Salud Pública; EcuadorFil: Chedraui, Peter. Hospital Gineco-Obstétrico Enrique C. Sotomayor; EcuadorFil: Escobar, Saul. Universidad Católica de Guayaquil; EcuadorFil: Loja Chango, Rita D.. Universidad Católica de Guayaquil; EcuadorFil: Ramirez Morán, Cecibel. Universidad Católica de Guayaquil; EcuadorFil: Espinoza Caicedo, Jasson. Universidad Católica de Guayaquil; EcuadorFil: Sánchez Giler, Sunny. Universidad Especialidades Espíritu Santo. Facultad de Ciencias Médicas; EcuadorFil: Limia, Celia M.. Instituto de Medicina Tropical Pedro Kouri; CubaFil: Alemán, Yoan. Instituto de Medicina Tropical Pedro Kouri; CubaFil: Soto, Yudira. Instituto de Medicina Tropical Pedro Kouri; CubaFil: Kouri, Vivian. Instituto de Medicina Tropical Pedro Kouri; CubaFil: Culasso, Andrés Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Virología; ArgentinaFil: Badano, Ines. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina. Secretaría de Educación Superior, Ciencia, Tecnología e Innovación; Ecuador. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Laboratorio de Biología Molecular Aplicada; Argentin

Global collision-risk hotspots of marine traffic and the world’s largest fish, the whale shark

© The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Womersley, F. C., Humphries, N. E., Queiroz, N., Vedor, M., da Costa, I., Furtado, M., Tyminski, J. P., Abrantes, K., Araujo, G., Bach, S. S., Barnett, A., Berumen, M. L., Bessudo Lion, S., Braun, C. D., Clingham, E., Cochran, J. E. M., de la Parra, R., Diamant, S., Dove, A. D. M., Dudgeon, C. L., Erdmann, M. V., Espinoza, E., Fitzpatrick, R., González Cano, J., Green, J. R., Guzman, H. M., Hardenstine, R., Hasan, A., Hazin, F. H. V., Hearn, A. R., Hueter, R. E., Jaidah, M. Y., Labaja, J., Ladinol, F., Macena, B. C. L., Morris Jr., J. J., Norman, B. M., Peñaherrera-Palmav, C., Pierce, S. J., Quintero, L. M., Ramırez-Macías, D., Reynolds, S. D., Richardson, A. J., Robinson, D. P., Rohner, C. A., Rowat, D. R. L., Sheaves, M., Shivji, M. S., Sianipar, A. B., Skomal, G. B., Soler, G., Syakurachman, I., Thorrold, S. R., Webb, D. H., Wetherbee, B. M., White, T. D., Clavelle, T., Kroodsma, D. A., Thums, M., Ferreira, L. C., Meekan, M. G., Arrowsmith, L. M., Lester, E. K., Meyers, M. M., Peel, L. R., Sequeira, A. M. M., Eguıluz, V. M., Duarte, C. M., & Sims, D. W. Global collision-risk hotspots of marine traffic and the world’s largest fish, the whale shark. Proceedings of the National Academy of Sciences of the United States of America, 119(20), (2022): e2117440119, https://doi.org/10.1073/pnas.2117440119.Marine traffic is increasing globally yet collisions with endangered megafauna such as whales, sea turtles, and planktivorous sharks go largely undetected or unreported. Collisions leading to mortality can have population-level consequences for endangered species. Hence, identifying simultaneous space use of megafauna and shipping throughout ranges may reveal as-yet-unknown spatial targets requiring conservation. However, global studies tracking megafauna and shipping occurrences are lacking. Here we combine satellite-tracked movements of the whale shark, Rhincodon typus, and vessel activity to show that 92% of sharks’ horizontal space use and nearly 50% of vertical space use overlap with persistent large vessel (>300 gross tons) traffic. Collision-risk estimates correlated with reported whale shark mortality from ship strikes, indicating higher mortality in areas with greatest overlap. Hotspots of potential collision risk were evident in all major oceans, predominantly from overlap with cargo and tanker vessels, and were concentrated in gulf regions, where dense traffic co-occurred with seasonal shark movements. Nearly a third of whale shark hotspots overlapped with the highest collision-risk areas, with the last known locations of tracked sharks coinciding with busier shipping routes more often than expected. Depth-recording tags provided evidence for sinking, likely dead, whale sharks, suggesting substantial “cryptic” lethal ship strikes are possible, which could explain why whale shark population declines continue despite international protection and low fishing-induced mortality. Mitigation measures to reduce ship-strike risk should be considered to conserve this species and other ocean giants that are likely experiencing similar impacts from growing global vessel traffic.Funding for data analysis was provided by the UK Natural Environment Research Council (NERC) through a University of Southampton INSPIRE DTP PhD Studentship to F.C.W. Additional funding for data analysis was provided by NERC Discovery Science (NE/R00997/X/1) and the European Research Council (ERC-AdG-2019 883583 OCEAN DEOXYFISH) to D.W.S., Fundação para a Ciência e a Tecnologia (FCT) under PTDC/BIA/28855/2017 and COMPETE POCI-01–0145-FEDER-028855, and MARINFO–NORTE-01–0145-FEDER-000031 (funded by Norte Portugal Regional Operational Program [NORTE2020] under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund–ERDF) to N.Q. FCT also supported N.Q. (CEECIND/02857/2018) and M.V. (PTDC/BIA-COM/28855/2017). D.W.S. was supported by a Marine Biological Association Senior Research Fellowship. All tagging procedures were approved by institutional ethical review bodies and complied with all relevant ethical regulations in the jurisdictions in which they were performed. Details for individual research teams are given in SI Appendix, section 8. Full acknowledgments for tagging and field research are given in SI Appendix, section 7. This research is part of the Global Shark Movement Project (https://www.globalsharkmovement.org)

Admission hyperglycemia and radiological findings of SARS-CoV2 in patients with and without diabetes

Diabetes emerged as major risk factor for severe acute respiratory syndrome (SARS) and adverse outcome in patients with the coronavirus disease 2019 (COVID-19). Nevertheless, the role of admission hyperglycemia in patients with COVID-19 has not been well-explored, yet. With this retrospective analysis, we report for the first time that hyperglycemia on day-1 is the best predictor of radiographic imaging of SARS-CoV2, regardless of the past medical history of diabetes. Admission hyperglycemia should not be overlooked, but adequately treated to improve the outcomes of COVID-19 patients with our without diabetes

State-space modeling reveals habitat perception of a small terrestrial mammal in a fragmented landscape

Gardiner R, Hamer R, Leos-Barajas V, Penaherrera-Palma C, Jones ME, Johnson C. State-space modeling reveals habitat perception of a small terrestrial mammal in a fragmented landscape. Ecology and Evolution. 2019;9(17):9804-9814.Habitat loss is a major cause of species loss and is expected to increase. Loss of habitat is often associated with fragmentation of remaining habitat. Whether species can persist in fragmented landscapes may depend on their movement behavior, which determines their capability to respond flexibility to changes in habitat structure and spatial distribution of patches. Movement is frequently generalized to describe a total area used, or segmented to highlight resource use, often overlooking finer-scale individual behaviors. We applied hidden Markov models (HMM) to movement data from 26 eastern bettongs (Bettongia gaimardi) in fragmented landscapes. HMMs are able to identify distinct behavior states associated with different movement patterns and discover how these behaviors are associated with habitat features. Three distinct behavior states were identified and interpreted as denning, foraging, and fast-traveling. The probability of occurrence of each state, and of transitions between them, was predicted by variation in tree-canopy cover and understorey vegetation density. Denning was associated with woodland with low canopy cover but high vegetation density, foraging with high canopy cover but low vegetation density, and fast-traveling with low canopy cover and low vegetation density. Bettongs did move outside woodland patches, often fast-traveling through pasture and using smaller stands of trees as stepping stones between neighboring patches. Males were more likely to fast-travel and venture outside woodlands patches, while females concentrated their movement within woodland patches. Synthesis and applications: Our work demonstrates the value of using animal movement to understand how animals respond to variation in habitat structure, including fragmentation. Analysis using HMMs was able to characterize distinct habitat types needed for foraging and denning, and identify landscape features that facilitate movement between patches. Future work should extend the use of individual movement analyses to guide management of fragmented habitat in ways that support persistence of species potentially threatened by habitat loss

Data from: State-space modeling reveals habitat perception of a small terrestrial mammal in a fragmented landscape

1.Habitat loss is a major cause of species loss, and is expected to increase. Loss of habitat is often associated with fragmentation of remaining habitat. Whether species can persist in fragmented landcsapes may depend on their movement behaviour, which determines their capability to respond flexibility to changes in habitat structure and spatial distribution of patches. 2.Movement is frequently generalised to describe a total area used, or segmented to highlight resource use, often overlooking finer-scale individual behaviours. We applied hidden Markov models (HMM) to movement data from 26 eastern bettongs (Bettongia gaimardi) in fragmented landscapes. HMMs are able to identify distinct behaviour states associated with different movement patterns, and discover how these behaviours are associated with habitat features. 3.Three distinct behaviour states were identified and interepretated as denning, foraging and fast-travelling. The probability of occurrence of each state, and of transitions between them, were predicted by variation in tree-canopy cover and understorey vegetation density. Denning was associated with woodland with low canopy cover but high vegetation density, foraging with high canopy cover but low vegetation density, and fast-travelling with low canopy cover and low vegetation density. 4.Bettongs did move outside woodland patches, often fast-travelling through pasture and using smaller stands of trees as stepping-stones between neighbouring patches. Males were more likely to fast-travel and venture outside woodland patches, while females concentrated their movement within woodland patches.5. Our work demonstrates the value of using animal movement to understand how animals respond to variation in habitat structure, including fragmentation. Analysis using HMMs was able to characterize distinct habitat types needed for foraging and denning, and identify landscape features that facilitate movement between patches. Future work should extend the use of individual movement analyses to guide management of fragmented habitat in ways that support persistence of species potentially threatened by habitat loss