利用舌苔代谢组学鉴定中医湿痰型慢性胃炎的生物标记物

IF 4.2 2区 医学 Q2 IMMUNOLOGY
Journal of Inflammation Research Pub Date : 2024-11-02 eCollection Date: 2024-01-01 DOI:10.2147/JIR.S480307
Zhiyuan You, Jialin Zhang, Yifeng Xu, Junhong Lu, Renling Zhang, Zhujing Zhu, Yiqin Wang, Yiming Hao
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引用次数: 0

摘要

研究目的本研究旨在通过检测患者舌苔中代谢物的变化,建立中药湿痰型慢性胃炎的辨证模型,并探讨代谢途径在该病发病机制中的作用。方法:这项横断面研究涉及 300 名慢性胃炎患者:这项横断面研究涉及 300 名确诊为慢性胃炎的患者。方法:这项横断面研究涉及 300 名被诊断为慢性胃炎的患者,其中 200 名患者表现出湿痰模式,100 名患者没有表现出湿痰模式。采用 GC-TOF-MS 和 UHPLC-QE-MS 代谢组学方法鉴定患者舌苔中的各种代谢物。根据差异生物标志物得出的 ROC 曲线,建立了慢性胃炎湿痰模式的识别模型。此外,还收集了 50 份未纳入模型构建的样本进行外部验证:结果:将湿痰模式组与非湿痰模式组进行比较,共发现 116 种差异代谢物。其中,脂类和类脂化合物最多,共有 27 种,包括 4 种与鞘磷脂代谢有关的脂类代谢物。包括苯酚、2.6-二氨基庚二酸和 N-十六碳酰吡咯烷在内的 ROC 模型显示出最高的准确性,准确性、灵敏度和特异性指标分别为 94.0%、91.0% 和 87.0%。此外,使用 50 名患者的舌苔代谢物进行外部验证后发现,验证集的准确性、灵敏度和特异性分别为 93.9%、90.6% 和 83.3%:结论:痰湿型患者与非痰湿型患者之间的代谢物差异主要在于脂类和类脂化合物。N-十六碳酰吡咯烷、苯酚和 2.6-二氨基庚二酸可作为湿痰型慢性胃炎的潜在生物标记物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of the Biomarkers for Chronic Gastritis with TCM Damp Phlegm Pattern by Using Tongue Coating Metabolomics.

Objective: This study aimed to establish a model for identifying chronic gastritis with the traditional Chinese medicine damp phlegm pattern by examining metabolite changes in the tongue coating of patients. It also explored the role of metabolic pathways in the pathogenesis of this condition.

Methods: This cross-sectional study involved 300 patients diagnosed with chronic gastritis. Of these, 200 patients exhibited the damp phlegm pattern, while 100 did not. Metabolomic methods employing GC-TOF-MS and UHPLC-QE-MS were utilized to identify various metabolites in the tongue coating of patients. An identification model for chronic gastritis with the damp phlegm pattern was created based on ROC curves derived from differential biomarkers. Additionally, 50 samples not included in model construction were collected for external validation.

Results: Comparison of the damp phlegm pattern group with the non-damp phlegm pattern group revealed a total of 116 differential metabolites. Among these, lipids and lipid-like compounds were most abundant, comprising 27 types, which included four lipid metabolites related to sphingomyelin metabolism. The ROC model, which included phenol, 2.6-diaminoheptanedioic acid, and N-hexadecanoyl pyrrolidine, demonstrated the highest accuracy, with accuracy, sensitivity, and specificity metrics of 94.0%, 91.0%, and 87.0%, respectively. Furthermore, external validation using tongue coating metabolites from 50 patients revealed accuracy, sensitivity, and specificity in the validation set of 93.9%, 90.6%, and 83.3%, respectively.

Conclusion: Differential metabolites between patients with the damp phlegm pattern and those without are primarily lipids and lipid-like compounds. N-hexadecanoyl pyrrolidine, phenol, and 2.6-diaminoheptanedioic acid may serve as potential biomarkers for chronic gastritis characterized by the damp phlegm pattern.

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来源期刊
Journal of Inflammation Research
Journal of Inflammation Research Immunology and Microbiology-Immunology
CiteScore
6.10
自引率
2.20%
发文量
658
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
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