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The traditional separation between primary producers (autotrophs) and consumers (heterotrophs) at the base of the marine food web is being increasingly replaced by the paradigm that mixoplankton, planktonic protists with the nutritional ability to use both phago(hetero)trophy and photo(auto)trophy to access energy are widespread globally. Thus, many 'phytoplankton' eat, while 50% of 'protozooplankton' also perform photosynthesis. Mixotrophy may enhance primary production, biomass transfer to higher trophic levels and the efficiency of the biological pump to sequester atmospheric CO into the deep ocean. Although this view is gaining traction, science lacks a tool to quantify the relative contributions of autotrophy and heterotrophy in planktonic protists. This hinders our understanding of their impacts on carbon cycling within marine pelagic ecosystems. It has been shown that the hydrogen (H) isotopic signature of lipids is uniquely sensitive to heterotrophy relative to autotrophy in plants and bacteria. Here, we explored whether it is also sensitive to the trophic status in protists. The new understanding of H isotope signature of lipid biomarkers suggests it offers great potential as a novel tool for quantifying the prevalence of mixotrophy in diverse marine microorganisms and thus for investigating the implications of the 'mixoplankton' paradigm.
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http://dx.doi.org/10.1111/nph.18023 | DOI Listing |
Clin Transplant Res
September 2025
Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Seoul, Korea.
Background: Calcineurin inhibitor (CNI) toxicity is a significant cause of graft dysfunction in kidney transplant recipients, yet distinguishing it from acute rejection (AR) and acute tubular necrosis (ATN) remains challenging. This study investigated the use of urinary mRNA biomarkers as a noninvasive tool for identifying CNI toxicity.
Methods: We retrospectively enrolled 110 kidney transplant recipients and classified them into four groups based on pathological findings: stable graft function (n=35), CNI toxicity (n=25), AR (n=30), and ATN (n=20).
Cell Physiol Biochem
August 2025
Departamento de Procesos Químicos, Alimentos y Biotecnología. Facultad de Ingeniería y Ciencias Aplicadas. Universidad Técnica de Manabí, Portoviejo, Ecuador.
Background/aims: The quantification of amino acids in the dairy industry is necessary for quality control and for the formulation of functional foods. Thus, the development of enzymatic biosensors requires a detailed study of enzyme kinetics. Parameters such as KM and Vmax are necessary to optimize the sensitivity and specificity of the biosensor.
View Article and Find Full Text PDFJ Hazard Mater
September 2025
Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of Soil and Water Conservation and Ecological Restoration of Jiangsu Province, College of Forestry & College of Soil and Water Conservation, Nanjing Forestry University, Nanjing, Jiangsu Province 210037, China.
Pollutants from industrial emissions and traffic accumulate in urban soils as road dust, carrying heavy metals (HMs) posing ecological and health risks. Magnetic susceptibility (MS), sensitive to ferromagnetic minerals, enables rapid HM contamination assessment. This study developed the Modified Dual-Threshold MS Evaluation Plot for Soil Contamination (M-Plot) using χ and χ% indices.
View Article and Find Full Text PDFClin Teach
October 2025
Medical Education, South Warwickshire University NHS Foundation Trust, Warwick, England, UK.
Introduction: Climate health is gaining prominence in medical curricula worldwide, with academic and healthcare institutions setting targets to reach carbon net zero. However, the integration of evidence-based strategies to reduce carbon footprint in medical education is constrained by a scarcity of research. This research study uses a novel approach to quantifying the carbon footprint of three teaching modalities within an undergraduate medical curriculum.
View Article and Find Full Text PDFGeroscience
September 2025
Department of Biological Sciences, College of Natural Sciences, Kangwon National University, Kangwon, 24341, Republic of Korea.
Alzheimer's disease (AD) represents a growing global health burden, underscoring the urgent need for reliable diagnostic and prognostic biomarkers. Although several disease-modifying treatments have recently become available, their effects remain limited, as they primarily delay rather than halt disease progression. Thus, the early and accurate identification of individuals at elevated risk for conversion to AD dementia is crucial to maximize the effectiveness of these therapies and to facilitate timely intervention strategies.
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