AI Article Synopsis

  • Metabolomics using untargeted FIE-HRMS offers insights into metabolic changes in lung squamous cell carcinoma (SCC), a subtype of non-small cell lung cancer known for poor outcomes.
  • We conducted an analysis of lung SCC tumors and nearby normal tissues from eight patients, identifying key metabolite differences through statistical tests and principal component analysis.
  • Our findings revealed disrupted metabolic pathways, including a shift away from normal energy production routes and alterations in metabolism related to amino acids and vitamins, highlighting FIE-HRMS as a potential tool for clinical diagnostics.

Article Abstract

Metabolomics based on untargeted flow infusion electrospray ionization high-resolution mass spectrometry (FIE-HRMS) can provide a snap-shot of metabolism in living cells. Lung Squamous Cell Carcinoma (SCC) is one of the predominant subtypes of Non-Small Cell Lung Cancers (NSCLCs), which usually shows a poor prognosis. We analysed lung SCC samples and matched histologically normal lung tissues from eight patients. Metabolites were profiled by FIE-HRMS and assessed using -test and principal component analysis (PCA). Differentially accumulating metabolites were mapped to pathways using the algorithm in R, and biologically meaningful patterns were indicated by Metabolite Set Enrichment Analysis (MSEA). We identified metabolic rewiring networks, including the suppression of the oxidative pentose pathway and found that the normal tricarboxylic acid (TCA) cycle were decoupled from increases in glycolysis and glutamine reductive carboxylation. Well-established associated effects on nucleotide, amino acid and thiol metabolism were also seen. Novel aspects in SCC tissue were increased in Vitamin B complex cofactors, serotonin and a reduction of γ-aminobutyric acid (GABA). Our results show the value of FIE-HRMS as a high throughput screening method that could be exploited in clinical contexts.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468359PMC
http://dx.doi.org/10.3390/metabo9030047DOI Listing

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