ReviewNature reviews. Endocrinology2016
Lipidomics for studying metabolism.
Review in Nature reviews. Endocrinology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 323 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
323 citing papers in PubMed.
- Untargeted salivary metabolomics for early prediction of chemotherapy-induced oral toxicities in patients with oral squamous cell carcinoma.Odontology · 2026Article
- Fast untargeted and targeted high-resolution mass spectrometry workflows for large-scale lipidomics.Analytica chimica acta · 2026Article
- Multi‑omics insights into uveitis: From mechanisms to precision medicine (Review).International journal of molecular medicine · 2026Review
- Multi-omic analyses of the same sample using metabolomics, lipidomics, proteomics, phosphoproteomics, and glycoproteomics.Chemical communications (Cambridge, England) · 2026Article
- Arsenic exposure, arsenic metabolism, and plasma lipidome in relation to type 2 diabetes and glycemic traits: a lipidome-wide association study.Journal of advanced research · 2026Article
- Spatiotemporal and quantitative analyses of phosphoinositides - fluorescent probe-and mass spectrometry-based approaches.FEBS letters · 2026Review
- Aziridination-Enabled Structural and Quantitative Lipidomics.Journal of the American Society for Mass Spectrometry · 2026Review
- Dietary supplementation with Acer truncatum seed modulates lipid profiles and enriches unsaturated fatty acids in egg yolk of laying hens.Poultry science · 2026Article
- Rhein alleviates acute pancreatitis by inhibiting TMAO-mediated inflammatory signaling pathways and reducing acinar cell injury.Journal of advanced research · 2026Article
- AS1411-Induced Lipidomic Alterations and Therapeutic Insights in U-87 Glioblastoma Cells.Biomolecules · 2026Article
- Se-enriched yeast improves meat quality through glycerophospholipid metabolism in finishing pigs: insights from a multi-omics analysis.Journal of animal science and biotechnology · 2026Article
- Miniaturized chromatography-based lipidomics methods towards single-cell analysis.Analytical and bioanalytical chemistry · 2026Review
- Mass Spectrometry-Based Lipidomics in Coffee: Linking Lipid Transformation to Flavor Formation and Quality Control.Foods (Basel, Switzerland) · 2026Review
- Quantitative Lipidomics Reveals Dynamic Lipid Profiles inPlants (Basel, Switzerland) · 2026Article
- Comparative effects of free and nanomicelle silymarin supplementation on growth, antioxidant status, and fatty acid composition in caspian trout (Salmo caspius) larvae.Scientific reports · 2026Article
- Lipidomic perspectives on the role of lactosylceramides in inflammation and disease: A narrative review.Expert reviews in molecular medicine · 2026Review
- Single-Injection Multi-Omics Analysis by Direct Infusion Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2026Article
- Coix Seed Oil Ameliorates Rheumatoid Arthritis by Modulating Inflammation-Associated Metabolic Pathways.Current issues in molecular biology · 2026Article
- Advancing quality evaluation and origin tracing of HainanFood chemistry: X · 2026Article
- Obesity-driven phosphatidylethanolamine dysregulation impairs neuroimmune crosstalk and accelerates Alzheimer's pathogenesis.Molecular neurodegeneration · 2026Article
263 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Many thousands of lipid species exist and their metabolism is interwoven via numerous pathways and networks. These networks can also change in response to cellular environment alterations, such as exercise or development of a disease. Measuring such alterations and understanding the pathways involved is crucial to fully understand cellular metabolism. Such demands have catalysed the emergence of lipidomics, which enables the large-scale study of lipids using the principles of analytical chemistry. Mass spectrometry, largely due to its analytical power and rapid development of new instruments and techniques, has been widely used in lipidomics and greatly accelerated advances in the field. This Review provides an introduction to lipidomics and describes some common, but important, cellular metabolic networks that can aid our understanding of metabolic pathways. Some representative applications of lipidomics for studying lipid metabolism and metabolic diseases are highlighted, as well as future applications for the use of lipidomics in studying metabolic pathways.
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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.