Microplastic (MP) ingestion has been reported in a wide variety of organisms, however, its spatial occurrence and effects on wild populations remain quite unknown. The present study targets an economically and ecologically key species in the Mediterranean Sea, the shrimp Aristeus antennatus. 39.2% of the individuals sampled had MP in their stomachs, albeit in areas close to Barcelona city the percentage reached values of 100%. Overall, MP ingestion was confirmed in a wide spatial and depth (630-1870 m) range, pointing out the great dispersion of this pollutant. The benthophagous diet and close relationship with the sea bottom of A. antennatus might enhance MP exposure and ultimately lead to accidental ingestion. Detailed analysis of shrimps' diet revealed that individuals with MP had a higher presence of endobenthic prey. Microplastic fibers are probably retained for long periods due to stomach's morphology, but no negative effects on shrimp's biological condition were observed.
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http://dx.doi.org/10.1016/j.marpolbul.2018.05.012 | DOI Listing |
Alzheimers Res Ther
January 2025
Laboratory for Clinical Neuroscience, Center for Biomedical Technology, Universidad Politécnica de Madrid, IdISSC, Crta M40, km38, Madrid, 28223, Spain.
Background: Dementia patients commonly present multiple neuropathologies, worsening cognitive function, yet structural neuroimaging signatures of dementia have not been positioned in the context of combined pathology. In this study, we implemented an MRI voxel-based approach to explore combined and independent effects of dementia pathologies on grey and white matter structural changes.
Methods: In 91 amnestic dementia patients with post-mortem brain donation, grey matter density and white matter hyperintensity (WMH) burdens were obtained from pre-mortem MRI and analyzed in relation to Alzheimer's, vascular, Lewy body, TDP-43, and hippocampal sclerosis (HS) pathologies.
BMC Infect Dis
January 2025
EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, nº 135, Porto, 4050 - 600, Portugal.
Background: The incidence of mosquito-borne infections has increased worldwide. Mainland Portugal's characteristics might favour the (re)emergence of mosquito-borne diseases. This study aimed to characterize the spatial distribution of vectors and notification rates of imported cases of mosquito-borne infections in mainland Portugal and demarcate the areas where these geographies overlap.
View Article and Find Full Text PDFSci Rep
January 2025
Southeast Guizhou Miao & Dong Autonomous Prefecture Housing and Urban - Rural Development Bureau, Southeast Guizhou Miao, 556000, Dong Autonomous Prefecture, China.
In Southeast Guizhou, a region of China rich in ethnic diversity, the cultural landscapes of ethnic villages are increasingly vulnerable under the pressures of urbanization and tourism development. This study assesses the vulnerability of 43 ethnic villages in Leishan County using the Vulnerability Scoring Diagram (VSD) model, which evaluates exposure, sensitivity, and coping ability. Analyses using spatial autocorrelation and geographic weighted regression reveal distinct spatial patterns of vulnerability, with the northern region exhibiting higher vulnerability indices than the southern region.
View Article and Find Full Text PDFJ Pathol
February 2025
Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
Colorectal cancer (CRC) is a histologically heterogeneous disease with variable clinical outcome. The role the tumour microenvironment (TME) plays in determining tumour progression is complex and not fully understood. To improve our understanding, it is critical that the TME is studied systematically within clinically annotated patient cohorts with long-term follow-up.
View Article and Find Full Text PDFInt J Infect Dis
January 2025
School of Population Health, Faculty of Health Sciences, Curtin University, Australia; Geospatial and Tuberculosis Research Team, Telethon Kids Institute, Australia. Electronic address:
Objective: To map subnational and local prevalence of drug-resistant tuberculosis (DR-TB) across Africa.
Methods: We assembled a geolocated dataset from 173 sources across 31 African countries, comprising drug susceptibility test results and covariate data from publicly available databases. We used Bayesian model-based geostatistical framework with multivariate Bayesian logistic regression model to estimate DR-TB prevalence at lower administrative levels.
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