ArticleBMC medical genomics2013
Integrated lipidomics and transcriptomic analysis of peripheral blood reveals significantly enriched pathways in type 2 diabetes mellitus.
Article in BMC medical genomics, 2013. 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, 55 citations in OpenAlex.
- Randomized crossover clinical trial of coenzyme Q10 and nicotinamide riboside in chronic kidney disease.JCI insight · 2023Trial
- Is Lipidomic the Answer to the Search of a Biomarker for Organ Preservation Protocol in Head and Neck Squamous Cell Carcinoma?Pathology oncology research : POR · 2018Trial
- Exploring Sample Storage Conditions for the Mass Spectrometric Analysis of Extracted Lipids from Latent Fingerprints.Biomolecules · 2025Article
- Identifying subgroups of childhood obesity by using multiplatform metabotyping.Frontiers in molecular biosciences · 2023Article
- Lipidomic profiling in the Strong Heart Study identified American Indians at risk of chronic kidney disease.Kidney international · 2022Article
- Review
- Effect of maternal dietary starch-to-fat ratio and daily energy intake during late pregnancy on the performance and lipid metabolism of primiparous sows and newborn piglets.Journal of animal science · 2022Article
- LC-MS-Based Lipidomic Analysis of Serum Samples from Patients with Type 2 Diabetes Mellitus (T2DM).Disease markers · 2022Article
- Traditional uses, phytochemistry, pharmacology, and toxicology ofRSC advances · 2021Review
- Profiling of Cerebrospinal Fluid Lipids and Their Relationship with Plasma Lipids in Healthy Humans.Metabolites · 2021Article
- Plasma lipidomics profile in pregnancy and gestational diabetes risk: a prospective study in a multiracial/ethnic cohort.BMJ open diabetes research & care · 2021Article
- Comparative Evaluation of the Effect of Metformin and Insulin on Gut Microbiota and Metabolome Profiles of Type 2 Diabetic Rats Induced by the Combination of Streptozotocin and High-Fat Diet.Frontiers in pharmacology · 2021Article
- Identification of plasma lipid species as promising diagnostic markers for prostate cancer.BMC medical informatics and decision making · 2020Article
- Japanese mushroom consumption alters the lipid metabolomic profile of high-fat diet-fed mice.Heliyon · 2020Article
- Comprehensive Lipidome Profiling of the Kidney in Early-Stage Diabetic Nephropathy.Frontiers in endocrinology · 2020Article
- Alterations in Gut Microbiota of Gestational Diabetes Patients During the First Trimester of Pregnancy.Frontiers in cellular and infection microbiology · 2020Article
- Lipidomics as a tool of predicting progression from non-alcoholic fatty pancreas disease to type 2 diabetes mellitus.RSC advances · 2019Article
- A new method to evaluate the dose-effect relationship of a TCM formula Gegen Qinlian Decoction: "Focus" mode of integrated biomarkers.Acta pharmacologica Sinica · 2017Article
- Clinical relevance of epigenetics in the onset and management of type 2 diabetes mellitus.Epigenetics · 2017Review
- Transcriptomics-driven lipidomics (TDL) identifies the microbiome-regulated targets of ileal lipid metabolism.NPJ systems biology and applications · 2017Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundInsulin resistance is a key element in the pathogenesis of type 2 diabetes mellitus. Plasma free fatty acids were assumed to mediate the insulin resistance, while the relationship between lipid and glucose disposal remains to be demonstrated across liver, skeletal muscle and blood.
methodsWe profiled both lipidomics and gene expression of 144 total peripheral blood samples, 84 from patients with T2D and 60 from healthy controls. Then, factor and partial least squares models were used to perform a combined analysis of lipidomics and gene expression profiles to uncover the bioprocesses that are associated with lipidomic profiles in type 2 diabetes.
resultsAccording to factor analysis of the lipidomic profile, several species of lipids were found to be correlated with different phenotypes, including diabetes-related C23:2CE, C23:3CE, C23:4CE, ePE36:4, ePE36:5, ePE36:6; race-related (African-American) PI36:1; and sex-related PE34:1 and LPC18:2. The major variance of gene expression profile was not caused by known factors and no significant difference can be directly derived from differential gene expression profile. However, the combination of lipidomic and gene expression analyses allows us to reveal the correlation between the altered lipid profile with significantly enriched pathways, such as one carbon pool by folate, arachidonic acid metabolism, insulin signaling pathway, amino sugar and nucleotide sugar metabolism, propanoate metabolism, and starch and sucrose metabolism. The genes in these pathways showed a good capability to classify diabetes samples.
conclusionCombined analysis of gene expression and lipidomic profiling reveals type 2 diabetes-associated lipid species and enriched biological pathways in peripheral blood, while gene expression profile does not show direct correlation. Our findings provide a new clue to better understand the mechanism of disordered lipid metabolism in association with type 2 diabetes.
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