Fatty acid isomerism: analysis and selected biological functions

Wang, Zhen; Yang, Tingxiang; Brenna, J. Thomas; Wang, Dong Hao

doi:10.1039/d3fo03716a

Cited by 1 publication

(1 citation statement)

References 126 publications

(218 reference statements)

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“…The dysregulation of PE and PC metabolism can be understood as a necessity to accommodate the rapid proliferation rate of cancer cells. Changes in chain length can affect multiple aspects of lipids, including physical properties, solubility, bioavailability and metabolism, and bioactivity (Wang et al 2024 ). In present study, PEs were found significantly upregulated in lung cancer, but multiple PCs were downregulated, especially C16-C18 PC, including PC(18:0/20:4, 16:0/22:6, 18:0/18:2, 18:1/18:2, 18:2/18:2 and 16:0/16:0).…”

Section: Discussionmentioning

confidence: 99%

Integration of clinical phenoms and metabolomics facilitates precision medicine for lung cancer

Yan,

Liu,

Song

et al. 2024

Cell Biol Toxicol

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Lung cancer is a common malignancy that is frequently associated with systemic metabolic disorders. Early detection is pivotal to survival improvement. Although blood biomarkers have been used in its early diagnosis, missed diagnosis and misdiagnosis still exist due to the heterogeneity of lung cancer. Integration of multiple biomarkers or trans-omics results can improve the accuracy and reliability for lung cancer diagnosis. As metabolic reprogramming is a hallmark of lung cancer, metabolites, specifically lipids might be useful for lung cancer detection, yet systematic characterizations of metabolites in lung cancer are still incipient. The present study profiled the polar metabolome and lipidome in the plasma of lung cancer patients to construct an inclusive metabolomic atlas of lung cancer. A comprehensive analysis of lung cancer was also conducted combining metabolomics with clinical phenotypes. Furthermore, the differences in plasma lipid metabolites were compared and analyzed among different lung cancer subtypes. Alcohols, amides, and peptide metabolites were significantly increased in lung cancer, while carboxylic acids, hydrocarbons, and fatty acids were remarkably decreased. Lipid profiling revealed a significant increase in plasma levels of CER, PE, SM, and TAG in individuals with lung cancer as compared to those in healthy controls. Correlation analysis confirmed the association between a panel of metabolites and TAGs. Clinical trans-omics studies elucidated the complex correlations between lipidomic data and clinical phenotypes. The present study emphasized the clinical importance of lipidomics in lung cancer, which involves the correlation between metabolites and the expressions of other omics, ultimately influencing clinical phenotypes. This novel trans-omics network approach would facilitate the development of precision therapy for lung cancer. Graphical Abstract 1. Integrating multiple biomarkers or trans-omics results improves diagnostic accuracy and reliability in heterogeneous lung cancer. 2. Metabolomics and lipidomics, along with clinical phenotypes, construct a comprehensive metabolic profile of lung cancer patients. 3. TAG expression shows strong positive correlation with polar metabolites, potentially impacting clinical phenotypic changes in lung cancer patients.

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Section: Discussionmentioning

confidence: 99%