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胃癌患者血浆中短链脂肪酸和 TCA 循环中间产物的代谢变化。

Metabolic alterations of short-chain fatty acids and TCA cycle intermediates in human plasma from patients with gastric cancer.

机构信息

College of Pharmacy, Kyung Hee University, Seoul 02447, Republic of Korea.

College of Pharmacy, Woosuk University, Wanju 55338, Republic of Korea.

出版信息

Life Sci. 2022 Nov 15;309:121010. doi: 10.1016/j.lfs.2022.121010. Epub 2022 Sep 28.


DOI:10.1016/j.lfs.2022.121010
PMID:36181864
Abstract

AIMS: Short-chain fatty acids (SCFAs) are produced by gut microbiota from dietary fiber. Since absorbed SCFAs could be introduced into the tricarboxylic acid (TCA) cycle in host cells, the relationships between SCFAs and TCA cycle intermediates might influence to energy metabolism in the human body. For this reason, information on profile changes between SCFAs and TCA cycle intermediates could help unveil pathological mechanisms of gastric cancer. MAIN METHODS: A gas chromatography-tandem mass spectrometry (GC-MS/MS) method was developed to simultaneously determine SCFAs and TCA cycle intermediates in human plasma from patients with chronic superficial gastritis (CSG), intestinal metaplasia (IM), and gastric cancer. We applied a tetra-alkyl ammonium pairing method to prevent loss of volatile SCFAs and base decarboxylation of TCA cycle intermediates during sample preparation. To assess gastric diseases, metabolic alterations of SCFAs and TCA cycle intermediates in human plasma with gastric disorders were analyzed by their plasma levels. KEY FINDINGS: Significantly different metabolic alterations based on the plasma levels of SCFAs and TCA cycle intermediates were investigated in cancer metabolic pathways. Not only propionate and butyrate, mainly produced by gut microbiota, were significantly decreased, but also cis-aconitate, α-ketoglutarate, and fumarate were significantly increased in plasma with IM or gastric cancer, compared to CSG. Further, based on ratios of product to precursor, three metabolic pathways (succinate/propionate, succinate/α-ketoglutarate, and cis-aconitate/citrate) were supposed to be distorted between gastric diseases. SIGNIFICANCE: In conclusion, propionate, cis-aconitate, α-ketoglutarate, and fumarate could be used to assess the progression of gastric cancer.

摘要

目的:短链脂肪酸(SCFAs)是肠道微生物从膳食纤维中产生的。由于吸收的 SCFAs 可以被引入宿主细胞的三羧酸(TCA)循环中,因此 SCFAs 与 TCA 循环中间产物之间的关系可能会影响人体的能量代谢。出于这个原因,有关 SCFAs 和 TCA 循环中间产物之间的谱变化的信息可以帮助揭示胃癌的病理机制。

方法:开发了一种气相色谱-串联质谱(GC-MS/MS)方法,用于同时测定慢性浅表性胃炎(CSG)、肠上皮化生(IM)和胃癌患者人血浆中的 SCFAs 和 TCA 循环中间产物。我们应用四烷基铵配对方法防止挥发性 SCFAs 在样品制备过程中的损失和 TCA 循环中间产物的脱羧基。为了评估胃部疾病,通过其血浆水平分析了具有胃部疾病的人血浆中 SCFAs 和 TCA 循环中间产物的代谢变化。

主要发现:在癌症代谢途径中,根据 SCFAs 和 TCA 循环中间产物的血浆水平,研究了明显不同的代谢变化。与 CSG 相比,IM 或胃癌患者的血浆中不仅主要由肠道微生物产生的丙酸和丁酸显著降低,而且顺乌头酸、α-酮戊二酸和富马酸也显著增加。此外,基于产物与前体的比率,假设三个代谢途径(琥珀酸/丙酸、琥珀酸/α-酮戊二酸和顺乌头酸/柠檬酸)在胃部疾病之间发生了扭曲。

意义:总之,丙酸、顺乌头酸、α-酮戊二酸和富马酸可用于评估胃癌的进展。

相似文献

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Metabolic alterations of short-chain fatty acids and TCA cycle intermediates in human plasma from patients with gastric cancer.

Life Sci. 2022-11-15

[2]
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[6]
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[10]
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引用本文的文献

[1]
Advances in the Study of Metabolic Reprogramming in Gastric Cancer.

Cancer Med. 2025-5

[2]
Prognostic implications of the interaction between intratumoral microbiome and immune response in gastric cancer.

Microbiol Spectr. 2025-4-9

[3]
Different lysine-to-methionine ratios in a low-protein diet affect the microbiome and metabolome, influencing the jejunal barrier function in Tibetan sheep.

Front Microbiol. 2025-2-12

[4]
Optimizing broiler growth, health, and meat quality with citric acid- assessing the optimal dose and environmental impact: Citric acid in Broiler Health and Production.

Poult Sci. 2025-2

[5]
Gastrointestinal Microbiota in Gastric Cancer: Potential Mechanisms and Clinical Applications-A Literature Review.

Cancers (Basel). 2024-10-21

[6]
The role of short-chain fatty acid metabolism in the pathogenesis, diagnosis and treatment of cancer.

Front Oncol. 2024-10-7

[7]
Friend or Foe: Exploring the Relationship between the Gut Microbiota and the Pathogenesis and Treatment of Digestive Cancers.

Microorganisms. 2024-5-8

[8]
Exploring functional metabolites and proteomics biomarkers in late-preterm and natural-born pigs.

Front Vet Sci. 2024-4-24

[9]
Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer.

Nat Commun. 2024-2-23

[10]
Microbiota-Gastric Cancer Interactions and the Potential Influence of Nutritional Therapies.

Int J Mol Sci. 2024-1-30

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