New perspectives in diabetic neuropathy

Neuron, Journal Year: 2023, Volume and Issue: 111(17), P. 2623 - 2641

Published: May 31, 2023

Language: Английский

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Dietary restriction of isoleucine increases healthspan and lifespan of genetically heterogeneous mice

Cell Metabolism, Journal Year: 2023, Volume and Issue: 35(11), P. 1976 - 1995.e6

Published: Nov. 1, 2023

Language: Английский

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In Vivo Tissue Distribution of Polystyrene or Mixed Polymer Microspheres and Metabolomic Analysis after Oral Exposure in Mice

Environmental Health Perspectives, Journal Year: 2024, Volume and Issue: 132(4)

Published: April 1, 2024

Global plastic use has consistently increased over the past century with several different types of plastics now being produced. Much these end up in oceans or landfills leading to a substantial accumulation environment. Plastic debris slowly degrades into microplastics (MPs) that can ultimately be inhaled ingested by both animals and humans. A growing body evidence indicates MPs cross gut barrier enter lymphatic systemic circulation tissues such as lungs, liver, kidney, brain. The impacts mixed exposure on tissue function through metabolism remains largely unexplored.

Language: Английский

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Glyoxal in Foods: Formation, Metabolism, Health Hazards, and Its Control Strategies

Journal of Agricultural and Food Chemistry, Journal Year: 2024, Volume and Issue: 72(5), P. 2434 - 2450

Published: Jan. 29, 2024

Glyoxal is a highly reactive aldehyde widely present in common diet and environment inevitably generated through various metabolic pathways

Language: Английский

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Regulation of cellular and systemic sphingolipid homeostasis

Nature Reviews Molecular Cell Biology, Journal Year: 2024, Volume and Issue: 25(10), P. 802 - 821

Published: June 18, 2024

Language: Английский

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Sources and Sinks of Serine in Nutrition, Health, and Disease

Annual Review of Nutrition, Journal Year: 2023, Volume and Issue: 43(1), P. 123 - 151

Published: June 12, 2023

Amino acid dysregulation has emerged as an important driver of disease progression in various contexts. l-Serine lies at a central node metabolism, linking carbohydrate transamination, glycine, and folate-mediated one-carbon metabolism to protein synthesis downstream bioenergetic biosynthetic pathways. is produced locally the brain but sourced predominantly from glycine peripheral tissues via liver kidney metabolism. Compromised regulation or activity l-serine disposal occurs context genetic diseases well chronic states, leading low circulating levels pathogenesis nervous system, retina, heart, aging muscle. Dietary interventions preclinical models modulate sensory neuropathy, retinopathy, tumor growth, muscle regeneration. A serine tolerance test may provide quantitative readout homeostasis that identifies patients who be susceptible neuropathy responsive therapy.

Language: Английский

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A comprehensive review on signaling attributes of serine and serine metabolism in health and disease

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 260, P. 129607 - 129607

Published: Jan. 21, 2024

Language: Английский

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Ceramides are fuel gauges on the drive to cardiometabolic disease

Physiological Reviews, Journal Year: 2024, Volume and Issue: 104(3), P. 1061 - 1119

Published: Feb. 1, 2024

Ceramides are signals of fatty acid excess that accumulate when a cell's energetic needs have been met and its nutrient storage has reached capacity. As these sphingolipids accrue, they alter the metabolism survival cells throughout body including in heart, liver, blood vessels, skeletal muscle, brain, kidney. These ceramide actions elicit tissue dysfunction underlies cardiometabolic diseases such as diabetes, coronary artery disease, metabolic-associated steatohepatitis, heart failure. Here, we review biosynthesis degradation pathways maintain levels normal physiology discuss how loss homeostasis drives pathologies. We highlight signaling nodes sense small changes ceramides turn reprogram cellular stimulate apoptosis. Finally, evaluate emerging therapeutic utility unique lipids biomarkers forecast disease risk targets ceramide-lowering interventions ameliorate disease.

Language: Английский

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Explainable Machine Learning-Based Prediction Model for Diabetic Nephropathy

Journal of Diabetes Research, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 13

Published: Jan. 20, 2024

The aim of this study is to analyze the effect serum metabolites on diabetic nephropathy (DN) and predict prevalence DN through a machine learning approach. dataset consists 548 patients from April 2018 2019 in Second Affiliated Hospital Dalian Medical University (SAHDMU). We select optimal 38 features least absolute shrinkage selection operator (LASSO) regression model 10-fold cross-validation. compare four algorithms, including extreme gradient boosting (XGB), random forest, decision tree, logistic regression, by AUC-ROC curves, calibration curves. quantify feature importance interaction effects predictive Shapley additive explanation (SHAP) method. XGB has best performance screen for with highest AUC value 0.966. also gains more clinical net benefits than others, fitting degree better. In addition, there are significant interactions between duration diabetes. develop algorithm DN. C2, C5DC, Tyr, Ser, Met, C24, C4DC, Cys have great contribution can possibly be biomarkers

Language: Английский

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Identification of the Pharmacological Components and Its Targets of Sanghuang by Integration of Nontarget Metabolomics and Network Pharmacology Analysis

Biomedical Chromatography, Journal Year: 2025, Volume and Issue: 39(2)

Published: Jan. 2, 2025

The objective of this study is to comprehensively identify the core pharmacological components and their respective targets three medicinal fungi Sanghuangs including Sanghuangporus vaninii (SV), lonicericola (SL), Inonotus hispidus (IH). Metabolomics analysis indicated that a total 495 660 differential metabolites were obtained in mycelium fermentation broth samples among Sanghuangs, respectively. network pharmacology showed 6-[1]-ladderane hexanol, R-nostrenol, candidone, ellagic acid, quercetin overlapping active ingredients Sanghuang species for diabetes mellitus, immune system disease, neoplasm. Certonardosterol A, dalamid, ethylene brassylate are unique SV, certonardosterol K, kaempferide, esculetin SL. Asbestinine, neoandrographolide, isosakuranetin, daucosterin IH. Accordingly, common ESR1, PIK3CA, LYN. PRKCA, EGFR, STAT3 SL, IH, primary targets, addition component-target interaction have been identified present study, provide foundation future research on prevention treatment disease using Sanghuangs.

Language: Английский

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