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. 2023 Jan 26;32(11):1541-1549.
doi: 10.1007/s10068-023-01256-7. eCollection 2023 Oct.

Untargeted metabolite profiling of serum in rats exposed to pyrraline

Chuanqin Hu  1 , Jiahui Wang  1 , Fangyuan Qi  1 , Yingli Liu  1 , Fen Zhao  1 , Jing Wang  1 , Baoguo Sun  1
Affiliations

Untargeted metabolite profiling of serum in rats exposed to pyrraline

Chuanqin Hu et al. Food Sci Biotechnol. .

Abstract

Pyrraline, one of advanced glycation end-products, is formed in advanced Maillard reactions. It was reported that the presence of pyrraline was tested to be associated with nephropathy and diabetes. Pyrraline might result in potential health risks because many modern diets are heat processed. In the study, an integrated metabolomics by ultra-high-performance liquid chromatography with mass spectrometry was used to evaluate the effects of pyrraline on metabolism in rats. Thirty-two metabolites were identified as differential metabolites. Linolenic acid metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, arachidonic acid metabolism, tyrosine metabolism and glycerophospholipid metabolism were the main perturbed networks in this pathological process. Differential metabolites and metabolic pathways we found give new insights into studying the toxic molecular mechanisms of pyrraline.

Supplementary information: The online version contains supplementary material available at 10.1007/s10068-023-01256-7.

Keywords: Food safety; Mass spectrometry (MS); Metabolomic; Pyrraline; Untargeted metabolite profiling.

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Conflict of interest statement

Conflict of interestThe authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
PCA score plots of serum samples in the control group and pyrraline-exposed groups at different dosages by UHPLC-MS methods in positive (A) (R2 = 77.9%, Q2 = 61.3%) and negative (B) (R2 = 83.4%, Q2 = 73%) mode. PLS-DA score plots of serum samples in the control group and pyrraline exposed groups at different dosages by UHPLC-MS methods in positive (C) (R2X = 77.7%, R2Y = 87.7%, Q2 = 85.5%) and negative (D) (R2X = 86.8%, R2Y = 77.3%, Q2 = 67.9%) mode. The 200-permutation test demonstrated no overfitting in the PLS-DA model ((E) positive mode (R2 = (0.0, 0.162), Q2 = (0.0, − 0.349) (F) negative mode (R2 = (0.0, 0.124), Q.2 = (0.0, − 0.319))
Fig. 2
Fig. 2
Box plot of differential metabolites in the study groups. (A) LysoPC (18:3); (B) Tyrosine; (C) Myristic acid; (D) PS (22:1)
Fig. 3
Fig. 3
Disturbed pathways in response to pyrraline treatment (1) Linolenic acid metabolism. (2) Phenylalanine, tyrosine and tryptophan biosynthesis. (3) Arachidonic acid metabolism. (4) Tyrosine metabolism. (5) Glycerophospholipid metabolism
Fig. 4
Fig. 4
Potential metabolic pathways disturbed in rats induced by pyrraline. “↑”and “↓” indicate changes in compound levels compared to the normal group
See this image and copyright information in PMC

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