The metabolomics of a protein kinase C delta (PKC delta) knock-out mouse model

Metabolomics : Official journal of the Metabolomic Society(2022)

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摘要
Introduction PKC delta is ubiquitously expressed in mammalian cells and its dysregulation plays a key role in the onset of several incurable diseases and metabolic disorders. However, much remains unknown about the metabolic pathways and disturbances induced by PKC deficiency, as well as the metabolic mechanisms involved. Objectives This study aims to use metabolomics to further characterize the function of PKC from a metabolomics standpoint, by comparing the full serum metabolic profiles of PKC deficient mice to those of wild-type mice. Methods The serum metabolomes of PKC delta knock-out mice were compared to that of a wild-type strain using a GCxGC-TOFMS metabolomics research approach and various univariate and multivariate statistical analyses. Results Thirty-seven serum metabolite markers best describing the difference between PKC delta knock-out and wild-type mice were identified based on a PCA power value > 0.9, a t-test p-value < 0.05, or an effect size > 1. XERp prediction was also done to accurately select the metabolite markers within the 2 sample groups. Of the metabolite markers identified, 78.4% (29/37) were elevated and 48.65% of these markers were fatty acids (18/37). It is clear that a total loss of PKC delta functionality results in an inhibition of glycolysis, the TCA cycle, and steroid synthesis, accompanied by upregulation of the pentose phosphate pathway, fatty acids oxidation, cholesterol transport/storage, single carbon and sulphur-containing amino acid synthesis, branched-chain amino acids (BCAA), ketogenesis, and an increased cell signalling via N-acetylglucosamine. Conclusion The charaterization of the dysregulated serum metabolites in this study, may represent an additional tool for the early detection and screening of PKC delta-deficiencies or abnormalities.
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关键词
Auto-immune diseases,Diagnostic biomarker,Metabolomics,Protein kinase C,Metabolic disorder,Serum samples,Non-communicable disease
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