ArticleAmerican journal of physiology. Endocrinology and metabolism2015
Systemic alterations in the metabolome of diabetic NOD mice delineate increased oxidative stress accompanied by reduced inflammation and hypertriglyceremia.
Article in American journal of physiology. Endocrinology and metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 59 citations in OpenAlex.
- Serum Lipidomics Profiling Identify Novel Biomarkers of Distal Symmetrical Polyneuropathy in Type 1 Diabetes.Diabetes, obesity & metabolism · 2026Article
- P2-HNF4α alters linoleic acid metabolism and mitigates soybean oil-induced obesity: role for oxylipins.Journal of lipid research · 2025Article
- Investigating the pathogenesis of urolithiasis through gut microbiome, plasma metabolome and inflammatory proteome: a mediation Mendelian randomization study.Clinical epigenetics · 2025Article
- Cross-ethnic Molecular Signatures Underpin the Adverse Impact of Statin Use on Type 2 Diabetes.Genomics, proteomics & bioinformatics · 2025Article
- Association of the lipidome with type 1 diabetes and the mediated effect of metabolites: A Mendelian randomization study.Medicine · 2025Article
- Advances in Mass Spectrometry-Based Blood Metabolomics Profiling for Non-Cancer Diseases: A Comprehensive Review.Metabolites · 2024Review
- Western diet consumption by host vertebrate promotes altered gene expression on Aedes aegypti reducing its lifespan and increasing fertility following blood feeding.Parasites & vectors · 2024Article
- CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data.Journal of visualized experiments : JoVE · 2023Article
- Effects of perinatal stress on the metabolites and lipids in plasma of dairy goats.Stress biology · 2023Article
- Article
- Characteristics of Serum Metabolites and Gut Microbiota in Diabetic Kidney Disease.Frontiers in pharmacology · 2022Article
- CorDiffViz: an R package for visualizing multi-omics differential correlation networks.BMC bioinformatics · 2021Article
- netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis.PLoS computational biology · 2021Article
- Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes.Genome biology · 2021Article
- Lipid remodeling in response to methionine stress in MDA-MBA-468 triple-negative breast cancer cells.Journal of lipid research · 2021Article
- Application of Differential Network Enrichment Analysis for Deciphering Metabolic Alterations.Metabolites · 2020Article
- Functional Lipids in Autoimmune Inflammatory Diseases.International journal of molecular sciences · 2020Review
- Prepregnant Obesity of Mothers in a Multiethnic Cohort Is Associated with Cord Blood Metabolomic Changes in Offspring.Journal of proteome research · 2020Article
- A comparative study of topology-based pathway enrichment analysis methods.BMC bioinformatics · 2019Article
- Cheminformatics approach to exploring and modeling trait-associated metabolite profiles.Journal of cheminformatics · 2019Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Nonobese diabetic (NOD) mice are a commonly used model of type 1 diabetes (T1D). However, not all animals will develop overt diabetes despite undergoing similar autoimmune insult. In this study, a comprehensive metabolomic approach, consisting of gas chromatography time-of-flight (GC-TOF) mass spectrometry (MS), ultra-high-performance liquid chromatography-accurate mass quadruple time-of-flight (UHPLC-qTOF) MS and targeted UHPLC-tandem mass spectrometry-based methodologies, was used to capture metabolic alterations in the metabolome and lipidome of plasma from NOD mice progressing or not progressing to T1D. Using this multi-platform approach, we identified >1,000 circulating lipids and metabolites in male and female progressor and nonprogressor animals (n = 71). Statistical and multivariate analyses were used to identify age- and sex-independent metabolic markers, which best differentiated metabolic profiles of progressors and nonprogressors. Key T1D-associated perturbations were related with 1) increases in oxidation products glucono-δ-lactone and galactonic acid and reductions in cysteine, methionine and threonic acid, suggesting increased oxidative stress; 2) reductions in circulating polyunsaturated fatty acids and lipid signaling mediators, most notably arachidonic acid (AA) and AA-derived eicosanoids, implying impaired states of systemic inflammation; 3) elevations in circulating triacylglyercides reflective of hypertriglyceridemia; and 4) reductions in major structural lipids, most notably lysophosphatidylcholines and phosphatidylcholines. Taken together, our results highlight the systemic perturbations that accompany a loss of glycemic control and development of overt T1D.
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