基于LC-MS/MS多反应监测技术的食管鳞状细胞癌能量代谢物分析

doi:10.13481/j.1671-587X.20230519

Abstract

Abstract:

Objective： To analyze the serum metabolite compositions of the patients with esophageal squamous cell carcinoma （ESCC）， to screen out the potential differential metabolites， and to explore the relationship between the occurrence of ESCC and energy metabolism， and to provide the useful energy metabolites for the early diagnosis of ESCC. Methods The serum samples of the ESCC patients and healthy volunteers were collected and divided into ESCC group and control group， and there were 7 cases in each group. Liquid chromatography-tandem mass spectrometry （LC-MS/MS） method was used to detect the serum metabolites of the subjects in two groups；partial least squares discriminant analysis （PLS-DA） and orthogonal partial least squares discriminant analysis （OPLS-DA） models were used to identify the differences in serum metabolites of the subjects between ESCC group and control group， and they were classified according to the chemical classification of serum metabolites； targeted metabolomics analysis on serum energy metabolites was conducted based on the multi-response monitoring （MRM） mode to further identify the significantly differential energy metabolites and their pathways. Results A total of 266 metabolites were identified in the serum samples of the subjects in ESCC group and control group with the positive and negative ion modes， and there were 164 and 102 metabolites identified with the above two modes， respectively. The univariate statistical analysis results showed that there were significant differences in serum metabolites of the subjects between ESCC group and control group. Among the metabolites with chemical classification， lipids and lipid-like molecules accounted for the highest proportion （18.421%）. Three significantly different energy metabolites in ESCC group were found， and the expression levels of L-malic acid and isocitric acid were increased and the expression level of cyclic adenosine monophosphate （cAMP） was decreased. Conclusion There are differences in the expressions of serum energy metabolites between the ESCC patients and healthy controls， and the occurrence of ESCC is related to the energy metabolism.

Key words: Esophageal squamous cell neoplasms, Metabolomics, Energy metabolites, Multi-response monitoring, Metabolites

CLC Number:

R735.1

Yuhang DONG,Haixia GAO,Xiaobin CUI,Feng LI. Energy metabolite analysis on ESCC based on LC-MS/MS multi-response monitoring technology[J].Journal of Jilin University(Medicine Edition), 2023, 49(5): 1253-1261.

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References 25

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Group	Polarity	A	Q²（cum）
CA vs N	Positive	3	0.768
CA vs N	Negative	2	0.478

Group	Polarity	A	Q²（cum）
CA vs N	Positive	1+2	0.50
CA vs N	Negative	1+2	0.58

Metabolite name	ESCC	Control	Transitions	Retention time(t/min)	RSD	FC	P
cAMP	6 962±3 142	11 773±4 513	328/134	1.946	0.019	0.591	0.037
L-malic acid	4 279 565±1 523 940	2 758 430±887 567	133/115	5.090	0.048	1.551	0.039
Isocitrate	57 661±18 673	38 927±12 876	191/73	7.697	0.086	1.481	0.043
Oxaloacetate	102 305±39 628	136 870±39 968	131/87	4.488	0.015	0.747	0.067
Citrate	5 434 073±2 992 632	3 329 249±1 215 777	191/87	7.767	0.063	1.632	0.114
Cis-aconitate	2 829 596±1 389 602	1 931 888±485 449	173/85	6.952	0.071	1.465	0.132
Lactate	1 725 703±406 487	1 524 237±431 240	89/43	1.796	0.033	1.132	0.256
Alpha-ketoglutarate	1 615 659±1 154 810	1 129 208±419 534	145/101	3.877	0.032	1.431	0.320
Dihydroxyacetone phosphate	2 274 830±201 126	2 361 020±794 818	169/97	6.172	0.090	0.963	0.478
Succinate	1 836 588±465 933	1 746 055±822 155	117/73	4.655	0.055	1.052	0.789
Adenosine monophosphate	6 118±1 875	5 909±2 205	346/79	6.114	0.091	1.035	0.836

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Energy metabolite analysis on ESCC based on LC-MS/MS multi-response monitoring technology

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