ArticleFood chemistry: X2025
Combining quantitative lipidomics with meat quality traits to identify key lipids involved in intramuscular fat deposition in geese.
Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Identification of age-related biomarkers for meat quality in Kangle chickens using multi-omics.Food chemistry. Molecular sciences · 2026Article
- Integrated multi-omics and machine learning identify an interaction between SLC39A11 and phosphoinositide metabolism in deep vein thrombosis.BMC medical informatics and decision making · 2026Article
- Multi-omics reveals flavor characteristics landscape of muscles in Chinese broilers.Current research in food science · 2026Article
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Authors and funding
8 authors.
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Abstract
This study utilized the O2PLS model to successfully integrate multidimensional data from meat quality traits and quantitative lipidomics, identifying key lipids involved in lipid deposition in goose meat. Meat quality analysis showed higher intramuscular fat content in goose meat during the sexual maturity phase. Lipidomics techniques were subsequently applied to elucidate differences in breast muscle lipid profiles between the growth phase and sexual maturity phase. Using UPLC-ESI-MS/MS, 298 lipids were identified as significantly altered. Unsupervised principal component analysis was employed to identify characteristic lipids distinguishing the two stages. As expected, phospholipids emerged as the key metabolites differentiating developmental stages, with three phospholipids identified in growth phase and five in sexual maturity phase. Finally, the O2PLS model revealed that characteristic lipids PE-P(P-16:0_18:1), PC(O-16:1_20:4), LPC (22:6), and SMs(d18:1/19:0) were significantly positively correlated with fat deposition in goose meat. Collectively, these findings offer new insights into the mechanisms of intramuscular fat deposition in goose meat and provide potential molecular targets for improving meat quality through dietary or breeding strategies.
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