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Recommendations for mitochondria transfer and transplantation nomenclature and characterization.
Nat Metab
January 2025
Centre for Orthopaedic Research, Medical School of the University of Western Australia, Nedlands, Western Australia, Australia.
Intercellular mitochondria transfer is an evolutionarily conserved process in which one cell delivers some of their mitochondria to another cell in the absence of cell division. This process has diverse functions depending on the cell types involved and physiological or disease context. Although mitochondria transfer was first shown to provide metabolic support to acceptor cells, recent studies have revealed diverse functions of mitochondria transfer, including, but not limited to, the maintenance of mitochondria quality of the donor cell and the regulation of tissue homeostasis and remodelling.
View Article and Find Full Text PDFValidation and Epidemiologic Definition of the Novel Steatotic Liver Disease Nomenclature in a National United States Cohort With Cirrhosis.
Clin Gastroenterol Hepatol
December 2024
Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania. Electronic address:
Background & Aims: Novel steatotic liver disease (SLD) definitions were introduced in 2023. Accurate and meaningful classifications using clinical data are needed to study interventions and outcomes.
Methods: In a national cohort of Veterans with cirrhosis and imaging-confirmed steatosis, 7 algorithms differentially emphasizing cardiometabolic risk factors (CMRFs) and alcohol exposure were developed to define alcohol-associated liver disease (ALD), metabolic dysfunction associated SLD (MASLD), and MASLD with increased alcohol intake (MetALD).
The Octadecanoids: Synthesis and Bioactivity of 18-Carbon Oxygenated Fatty Acids in Mammals, Bacteria, and Fungi.
Chem Rev
January 2025
Unit of Integrative Metabolomics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm SE-171 77, Sweden.
The octadecanoids are a broad class of lipids consisting of the oxygenated products of 18-carbon fatty acids. Originally referring to production of the phytohormone jasmonic acid, the octadecanoid pathway has been expanded to include products of all 18-carbon fatty acids. Octadecanoids are formed biosynthetically in mammals via cyclooxygenase (COX), lipoxygenase (LOX), and cytochrome P450 (CYP) activity, as well as nonenzymatically by photo- and autoxidation mechanisms.
View Article and Find Full Text PDF[Predictive factors for MASLD in type 2 diabetes: 1 year follow-up study].
Rev Med Inst Mex Seguro Soc
September 2024
Instituto Mexicano del Seguro Social, Unidad de Atención a la Salud del IMSS-Bienestar. Ciudad de México, México.
Article Synopsis
- * A cohort of 5143 patients with type 2 diabetes was followed for one year to assess factors predicting the onset of MASLD, with measurements including body weight, blood sugar levels, and liver markers.
- * Results showed that 28.2% of patients had MASLD initially; while some improved, a significant number retained the condition, indicating that tools like Hepatic Steatosis Index, Lipidic Accumulation Product, and metabolic screening could help identify those at risk.
Translational Algorithms for Technological Dietary Quality Assessment Integrating Nutrimetabolic Data with Machine Learning Methods.
Nutrients
November 2024
Cardiometabolic Nutrition Group, Precision Nutrition Program, Research Institute on Food and Health Sciences IMDEA Food, Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid (CSIC-UAM), 28049 Madrid, Spain.
Unlabelled: Recent advances in machine learning technologies and omics methodologies are revolutionizing dietary assessment by integrating phenotypical, clinical, and metabolic biomarkers, which are crucial for personalized precision nutrition. This investigation aims to evaluate the feasibility and efficacy of artificial intelligence tools, particularly machine learning (ML) methods, in analyzing these biomarkers to characterize food and nutrient intake and to predict dietary patterns.
Methods: We analyzed data from 138 subjects from the European Dietary Deal project through comprehensive examinations, lifestyle questionnaires, and fasting blood samples.
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