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重症肌无力患者的血清氨基酸谱

Serum amino acid profiles in patients with myasthenia gravis.

作者信息

Kośliński Piotr, Rzepiński Łukasz, Daghir-Wojtkowiak Emilia, Koba Marcin, Maciejek Zdzisław

机构信息

Department of Toxicology and Bromatology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Dr. A. Jurasza 2, 85-089, Bydgoszcz, Poland.

Department of Neurology, 10th Military Research Hospital and Polyclinic, Powstańców Warszawy 5, 85-681, Bydgoszcz, Poland.

出版信息

Amino Acids. 2023 Sep;55(9):1157-1172. doi: 10.1007/s00726-023-03303-3. Epub 2023 Jul 20.

DOI:10.1007/s00726-023-03303-3
PMID:37474707
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10564828/
Abstract

Myasthenia gravis (MG) is an autoimmune disease characterized by weakness and rapid fatigue. Diagnostic methods used for myasthenia gravis are not conclusive and satisfactory, therefore it is necessary to develop reliable tools to help diagnose myasthenia gravis as early as possible. The aim of the study was to use HPLC-MS in conjunction with multivariate statistical analyses to investigate changes in the amino acid metabolic profiles between myasthenia gravis patients compared and controls. In addition, the effect of treatment regimens and myasthenia gravis type, on the observed changes in amino acid metabolic profiles were assessed. Serum levels of 29 amino acids were determined in 2 groups of individuals-28 patients with myasthenia gravis and 53 control subjects (CS). The results of our study indicate that serum levels of several amino acids in patients with myasthenia gravis changed significantly compared to the control group. Statistical analysis revealed differences between amino acids concentration in patients with different therapeutic scheme. In conclusion, amino acids may be involved in mechanisms underlying myasthenia gravis pathogenesis as well as may be potential biomarkers in MG patients diagnosis. However, considering the multifactorial, heterogenous and complex nature of this disease, validation on a larger study sample in further research is required before application into diagnostic practice.

摘要

重症肌无力（MG）是一种以肌无力和快速疲劳为特征的自身免疫性疾病。用于重症肌无力的诊断方法并不具有决定性且不尽人意，因此有必要开发可靠的工具来尽早帮助诊断重症肌无力。本研究的目的是结合高效液相色谱-质谱联用技术（HPLC-MS）和多变量统计分析，研究重症肌无力患者与对照组之间氨基酸代谢谱的变化。此外，还评估了治疗方案和重症肌无力类型对观察到的氨基酸代谢谱变化的影响。测定了两组个体（28例重症肌无力患者和53例对照受试者（CS））血清中29种氨基酸的水平。我们的研究结果表明，与对照组相比，重症肌无力患者血清中几种氨基酸的水平发生了显著变化。统计分析显示，不同治疗方案的患者氨基酸浓度存在差异。总之，氨基酸可能参与了重症肌无力发病机制的相关过程，也可能是重症肌无力患者诊断的潜在生物标志物。然而，考虑到该疾病的多因素、异质性和复杂性，在应用于诊断实践之前，需要在更大的研究样本上进行进一步研究验证。

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