Targeted LC-MS/MS profiling of serum amino acids reveals type 2 diabetes-specific alterations in advanced gastric cancer.

IF 2.1 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

Bioanalysis Pub Date : 2026-05-01 Epub Date: 2026-06-17 DOI:10.1080/17576180.2026.2684669

Mehmet Emrah Yaman, Omer Faruk Kocak, Omer Topdagi, Yucel Kadioglu

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引用次数: 0

Abstract

Background: Altered amino acid metabolism is a feature of gastric cancer. Type 2 diabetes (T2D), a prevalent metabolic comorbidity, may affect circulating amino acid profiles; this study aimed to quantify its impact.

Research design and methods: A validated targeted LC-MS/MS assay profiled 22 serum amino acids in 156 participants, including gastric cancer patients with and without type 2 diabetes and controls.

Results: Adjusted models showed that many observed differences were attributable to type 2 diabetes and body mass index. Type 2 diabetes was associated with lower ornithine (β = -1.16; q = 0.0019) and interacted with gastric cancer for arginine (β_int = -1.10; q = 0.0044) and phenylalanine (β_int = +1.05; q = 0.0112). After adjustment, only valine, taurine, and total amino acids remained lower in gastric cancer. Body mass index was inversely associated with glutamine and positively associated with glutamate.

Conclusions: Covariate-adjusted analysis distinguishes cancer-related from comorbidity-driven alterations and identifies type 2 diabetes as a key modifier of amino acid metabolism. Metabolic covariates should be considered when interpreting amino acid alterations in advanced gastric cancer biomarker studies. However, the findings should be interpreted in light of the predominantly advanced-stage gastric cancer cohort and require validation in larger prospective studies.

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靶向LC-MS/MS分析血清氨基酸揭示2型糖尿病在晚期胃癌中的特异性改变。

背景：氨基酸代谢改变是胃癌的一个特征。2型糖尿病（T2D）是一种普遍的代谢合并症，可能会影响循环氨基酸谱；这项研究旨在量化其影响。研究设计和方法：一项经过验证的靶向LC-MS/MS分析了156名参与者的22种血清氨基酸，包括伴有和不伴有2型糖尿病的胃癌患者和对照组。结果：调整后的模型显示，许多观察到的差异可归因于2型糖尿病和体重指数。2型糖尿病与低鸟氨酸水平相关（β = -1.16, q = 0.0019），与胃癌的精氨酸水平（β_int = -1.10, q = 0.0044）和苯丙氨酸水平（β_int = +1.05, q = 0.0112）相互作用。调整后，只有缬氨酸、牛磺酸和总氨基酸在胃癌中保持较低水平。体质指数与谷氨酰胺呈负相关，与谷氨酸呈正相关。结论：协变量调整分析将癌症相关的改变与合并症驱动的改变区分开来，并确定2型糖尿病是氨基酸代谢的关键修饰因子。在解释晚期胃癌生物标志物研究中的氨基酸改变时，应考虑代谢协变量。然而，这些发现应该根据主要是晚期胃癌队列来解释，并需要在更大的前瞻性研究中进行验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Bioanalysis BIOCHEMICAL RESEARCH METHODS-CHEMISTRY, ANALYTICAL

CiteScore

3.30

自引率

16.70%

发文量

审稿时长

2 months

期刊介绍： Reliable data obtained from selective, sensitive and reproducible analysis of xenobiotics and biotics in biological samples is a fundamental and crucial part of every successful drug development program. The same principles can also apply to many other areas of research such as forensic science, toxicology and sports doping testing. The bioanalytical field incorporates sophisticated techniques linking sample preparation and advanced separations with MS and NMR detection systems, automation and robotics. Standards set by regulatory bodies regarding method development and validation increasingly define the boundaries between speed and quality. Bioanalysis is a progressive discipline for which the future holds many exciting opportunities to further reduce sample volumes, analysis cost and environmental impact, as well as to improve sensitivity, specificity, accuracy, efficiency, assay throughput, data quality, data handling and processing. The journal Bioanalysis focuses on the techniques and methods used for the detection or quantitative study of analytes in human or animal biological samples. Bioanalysis encourages the submission of articles describing forward-looking applications, including biosensors, microfluidics, miniaturized analytical devices, and new hyphenated and multi-dimensional techniques. Bioanalysis delivers essential information in concise, at-a-glance article formats. Key advances in the field are reported and analyzed by international experts, providing an authoritative but accessible forum for the modern bioanalyst.