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species are part of the indigenous microbial flora in marine, brackish and fresh water in moderate and tropical climates that thrive and multiply in water at elevated water temperatures. The number of human non-cholera infections due to exposure to contaminated surface water increases worldwide. To study possible climate change-related changes in concentrations, prevalent species, and risks of illness, water samples from coastal and inland water bodies in the Netherlands were tested in 2019-2021. Data were combined with data from previous studies in 2009-2012 in order to develop a regression model to predict current and future risks of illness. Year-to-year and site-specific variations in concentrations and water temperature were observed, but there was no trend of increasing concentrations or water temperature over time. In 2019-2021, species distribution had not changed since 2009-2012; and were still the dominant species. Statistical analysis demonstrated a significant effect of water temperature on concentrations. The model predicted a concentration increase of a factor of 1.5 for each degree Celsius temperature increase. Predicted risks of illness were higher at higher water temperatures, and higher for children than for adults. Based on the most recent climate change scenarios for the Netherlands, the risks of illness will increase with factors ranging from 1.6 to 7.6 in 2050 and 2100. These outcomes warrant adequate information about risks to water managers, public health workers and the general public.
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http://dx.doi.org/10.3390/microorganisms13081893 | DOI Listing |
J Appl Res Intellect Disabil
September 2025
University of Rzeszów, Institute of Pedagogy, Rzeszów, Poland.
Background: Health awareness is an important factor in preventive health and healthy lifestyles of children and adolescents with an intellectual disability. The research objective is therefore to explore the perspective of people with intellectual disability regarding their health-related experiences and the meanings they assign to health.
Methods: Using interpretative phenomenological analysis (IPA) as a methodological approach, semi-structured interviews were conducted with 14 students between the ages of 13 and 19.
Ren Fail
December 2025
Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India.
Biological sex has a profound impact on disease severity, outcomes and diagnosis yet, its role in clinical disease is insufficiently explored. Acute on chronic liver failure (ACLF) is associated with high mortality and multiple organ dysfunctions, where acute kidney injury (AKI) significantly worsens prognosis. Here we investigated the impact of sex on the diagnostic parameters used for severity grading in ACLF.
View Article and Find Full Text PDFMol Psychiatry
September 2025
Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AB, UK.
Disrupted gamma-aminobutyric acid (GABA) neurotransmission may contribute to the pathophysiology of schizophrenia. Reductions in hippocampal GABAergic neurons have been found in schizophrenia, and increased hippocampal perfusion has been described in schizophrenia and in people at clinical high-risk for psychosis (CHRp). We have also found decreases in hippocampal GABA receptors containing the α5 subunit (GABARα5) in a well-validated neurodevelopmental rat model of relevance for schizophrenia.
View Article and Find Full Text PDFJ Cardiol
September 2025
Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea; Department of Cardiology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. Electronic addr
Heart failure with preserved ejection fraction (HFpEF) accounts for more than half of all HF cases and its incidence and prevalence continue to increase, with a substantial burden of morbidity and mortality. Despite advances in our understanding of heterogeneous pathophysiology underlying HFpEF, the diagnosis, risk assessment, and management of this disease entity remain challenging in everyday practice. Artificial intelligence (AI) algorithm can handle large amounts of complex data and machine learning (ML), a subfield of AI, allows for the identification of relevant patterns by learning from big data.
View Article and Find Full Text PDFAcad Pediatr
September 2025
Department of Pediatrics, University of Minnesota, Minneapolis, MN.
Safe and stable housing is foundational for child and adolescent health; likewise, housing instability and homelessness are associated with significant pediatric health risk. This narrative review sought to: (1) describe the impact of stable housing, housing instability, and homelessness on child and adolescent health, and (2) explore advocacy interventions for pediatricians to support unstably housed children, youth and families. While the relationship between health and housing is complex, here, we describe three primary mechanisms through which housing impacts pediatric health.
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