ArticleMetabolites2021
Investigating Global Lipidome Alterations with the Lipid Network Explorer.
Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
- The insulin-like growth factor 2 mRNA-binding protein 2 affects tumor cell metabolism via mitochondrial transporter activity and lipid alterations.Cell death discovery · 2026Article
- Metabolic alterations associated with cirrhosis after HCV cure in people with HIV: metabolomic and lipidomic findings at one and five years.Frontiers in immunology · 2026Article
- A Lipidomic Exploration of the Effects of High-Intensity Interval Exercise in Healthy Men after Metformin Intake.Journal of proteome research · 2025Article
- Multiplatform Metabolomic Profiling of the Unilateral Ureteral Obstruction Murine Model of CKD.International journal of molecular sciences · 2025Article
- An integrative multi-omics analysis reveals a multi-analyte signature of pancreatic ductal adenocarcinoma in serum.Journal of gastroenterology · 2025Article
- Lipidome visualisation, comparison, and analysis in a vector space.PLoS computational biology · 2025Article
- Lipid and immune dysregulation and risk of metabolic disorders after HCV clearance in HIV/HCV-coinfected participants with cACLD: a retrospective study.Frontiers in immunology · 2025Article
- Challenges and perspectives for naming lipids in the context of lipidomics.Metabolomics : Official journal of the Metabolomic Society · 2024Review
- LiLA: lipid lung-based ATLAS built through a comprehensive workflow designed for an accurate lipid annotation.Communications biology · 2024Article
- Differential abundance of lipids and metabolites related to SARS-CoV-2 infection and susceptibility.Scientific reports · 2023Article
- Increased n-6 Polyunsaturated Fatty Acids Indicate Pro- and Anti-Inflammatory Lipid Modifications in Synovial Membranes with Rheumatoid Arthritis.Inflammation · 2023Article
- FALCON systematically interrogates free fatty acid biology and identifies a novel mediator of lipotoxicity.Cell metabolism · 2023Article
- Lipidomic Profiling of PFOA-Exposed Mouse Liver by Multi-Modal Mass Spectrometry Analysis.Analytical chemistry · 2023Article
- FALCON systematically interrogates free fatty acid biology and identifies a novel mediator of lipotoxicity.bioRxiv : the preprint server for biology · 2023Article
- Lipid network and moiety analysis for revealing enzymatic dysregulation and mechanistic alterations from lipidomics data.Briefings in bioinformatics · 2023Article
- Software and Computational Tools for LC-MS-Based Epilipidomics: Challenges and Solutions.Analytical chemistry · 2023Review
- Impact of renal tubularFrontiers in molecular biosciences · 2023Article
- Birth Weight and Early Postnatal Outcomes: Association with the Cord Blood Lipidome.Nutrients · 2022Article
- Clinical lipidomics - A community-driven roadmap to translate research into clinical applications.Journal of mass spectrometry and advances in the clinical lab · 2022Article
- TurboPutative: A web server for data handling and metabolite classification in untargeted metabolomics.Frontiers in molecular biosciences · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Lipids play an important role in biological systems and have the potential to serve as biomarkers in medical applications. Advances in lipidomics allow identification of hundreds of lipid species from biological samples. However, a systems biological analysis of the lipidome, by incorporating pathway information remains challenging, leaving lipidomics behind compared to other omics disciplines. An especially uncharted territory is the integration of statistical and network-based approaches for studying global lipidome changes. Here we developed the Lipid Network Explorer (LINEX), a web-tool addressing this gap by providing a way to visualize and analyze functional lipid metabolic networks. It utilizes metabolic rules to match biochemically connected lipids on a species level and combine it with a statistical correlation and testing analysis. Researchers can customize the biochemical rules considered, to their tissue or organism specific analysis and easily share them. We demonstrate the benefits of combining network-based analyses with statistics using publicly available lipidomics data sets. LINEX facilitates a biochemical knowledge-based data analysis for lipidomics. It is availableas a web-application and as a publicly available docker container.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.