ArticleMetabolites2020
LC-MS Lipidomics: Exploiting a Simple High-Throughput Method for the Comprehensive Extraction of Lipids in a Ruminant Fat Dose-Response Study.
Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 32 citations in OpenAlex.
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- The metabolic response of human trophoblasts derived from term placentas to metformin.Diabetologia · 2023Article
- Aetiology of Type 2 diabetes in people with a 'normal' body mass index: testing the personal fat threshold hypothesis.Clinical science (London, England : 1979) · 2023Article
- Comparison of the Lipidomic Signature of Fatty Liver in Children and Adults: A Cross-Sectional Study.Journal of pediatric gastroenterology and nutrition · 2022Article
- Metabolomics in early life and the association with body composition at age 2 years.Pediatric obesity · 2022Article
- Maternal but not fetoplacental health can be improved by metformin in a murine diet-induced model of maternal obesity and glucose intolerance.The Journal of physiology · 2022Article
- The Childhood Acute Illness and Nutrition (CHAIN) network nested case-cohort study protocol: a multi-omics approach to understanding mortality among children in sub-Saharan Africa and South Asia.Gates open research · 2022Article
- Impact of Metformin Treatment on Human Placental Energy Production and Oxidative Stress.Frontiers in cell and developmental biology · 2022Article
- Inhibition of mitochondrial function by metformin increases glucose uptake, glycolysis and GDF-15 release from intestinal cells.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Typical lipidomics methods incorporate a liquid-liquid extraction with LC-MS quantitation; however, the classic sample extraction methods are not high-throughput and do not perform well at extracting the full range of lipids especially, the relatively polar species (e.g., acyl-carnitines and glycosphingolipids). In this manuscript, we present a novel sample extraction protocol, which produces a single phase supernatant suitable for high-throughput applications that offers greater performance in extracting lipids across the full spectrum of species. We applied this lipidomics pipeline to a ruminant fat dose-response study to initially compare and validate the different extraction protocols but also to investigate complex lipid biomarkers of ruminant fat intake (adjoining onto simple odd chain fatty acid correlations). We have found 100 lipids species with a strong correlation with ruminant fat intake. This novel sample extraction along with the LC-MS pipeline have shown to be sensitive, robust and hugely informative (>450 lipids species semi-quantified): with a sample preparation throughput of over 100 tissue samples per day and an estimated ~1000 biological fluid samples per day. Thus, this work facilitating both the epidemiological involvement of ruminant fat, research into odd chain lipids and also streamlining the field of lipidomics (both by sample preparation methods and data presentation).
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Registered trials
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