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Global metabolomic alterations associated with endocrine-disrupting chemicals among pregnant individuals and newborns.
Metabolomics
January 2025
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Background: Gestational exposure to non-persistent endocrine-disrupting chemicals (EDCs) may be associated with adverse pregnancy outcomes. While many EDCs affect the endocrine system, their effects on endocrine-related metabolic pathways remain unclear. This study aims to explore the global metabolome changes associated with EDC biomarkers at delivery.
View Article and Find Full Text PDFBiomonitoring of Hydroxylated Polycyclic Aromatic Hydrocarbon Metabolites in Workers at a Waste-to-Energy Incinerator, Turin, Italy.
Int J Environ Res Public Health
January 2025
Department of Epidemiology, ASL TO3, Via Martiri XXX Aprile 30, 10093 Collegno (Turin), Italy.
This paper presents the results of the human biomonitoring of ten urinary OH-PAHs (hydroxylated polycyclic aromatic hydrocarbon) in a cohort of workers at an incinerator in Turin, Italy. Long-term exposure was assessed through repeated measurements at three time points: before the startup (T0), after 1 year (T1), and after 3 years (T2). Paired data were available for 26 subjects, seven administrative workers (AWs) and 19 plant workers (PWs).
View Article and Find Full Text PDFPeptideForest: Semisupervised Machine Learning Integrating Multiple Search Engines for Peptide Identification.
J Proteome Res
January 2025
Institute of Pharmacy and Molecular Biotechnology, Heidelberg University, 69120 Heidelberg, Germany.
The first step in bottom-up proteomics is the assignment of measured fragmentation mass spectra to peptide sequences, also known as peptide spectrum matches. In recent years novel algorithms have pushed the assignment to new heights; unfortunately, different algorithms come with different strengths and weaknesses and choosing the appropriate algorithm poses a challenge for the user. Here we introduce PeptideForest, a semisupervised machine learning approach that integrates the assignments of multiple algorithms to train a random forest classifier to alleviate that issue.
View Article and Find Full Text PDFExtending the Lund-Malmö creatinine-based GFR equation to cystatin C - validation results from the European Kidney Function Consortium (EKFC) cohort of children and adults.
Scand J Clin Lab Invest
January 2025
Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium.
Article Synopsis
- The study aimed to enhance the Lund-Malmö GFR equation using rescaled cystatin C (r-LMR) and validate it against measured GFR in a large cohort of children and adults.
- Validation results showed that r-LMR performed with 86.2% accuracy in adults, outpacing the CAPA equation, indicating r-LMR is a reliable method for estimating GFR.
- The findings suggest that adapting the Lund-Malmö equation for rescaled cystatin C yields similar results to those based on rescaled creatinine, hinting at a reduced future need for specific GFR estimating equations.
Higher physical activity levels are related to faecal microbiota diversity and composition in young adults.
Biol Sport
January 2025
PROFITH (PROmoting FITness and Health through Physical Activity) Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain.
Increasing physical activity (PA) is recognised as an efficacious approach for preventing and treating cardiometabolic diseases. Recently, the composition of microorganisms living within the gut has been proposed as an important appropriate target for treating these diseases. Whether PA is related to faecal microbiota diversity and composition in humans remains to be ascertained.
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