Qiu Meiqi, Liao Fei, Tan Yulin, Zhang Junlong, Zheng Changjun, Wang Hanyu, Zhuang Huangming, Xiong Wanli, Xie Qingfang, Dong Weiguo
Department of Gastroenterology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Road, Wuhan, 430060, Hubei Province, China.
Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, Hubei Province, China.
Sci Rep. 2024 Dec 28;14(1):31542. doi: 10.1038/s41598-024-83360-0.
Helicobacter pylori (H. pylori) is one of the most globally prevalent bacteria, closely associated with gastrointestinal diseases such as gastric ulcers and chronic gastritis. Current clinical methods primarily involve Carbon-13 and Carbon-14 urea breath test, both carrying potential safety risks. Fourier-transform infrared (FTIR) spectroscopy can detect human exhaled gases, which may change under disease conditions. This preliminary study aims to explore the application value of FTIR-based breath analysis in detecting H. pylori infection, providing theoretical basis and clinical references for new clinical detection methods. A cross-sectional survey was conducted from August 2021 to May 2022 at Renmin Hospital of Wuhan University. Breath samples were collected before and half an hour after ingesting unlabeled urea. Gas samples were analyzed using FTIR breath spectra. Individual exhalation spectral data after deducting baseline spectral data were used as the basis for the training and test sets through K-center clustering algorithm. Results: A total of 278 samples were collected (63 H. pylori infection cases, 215 healthy controls). There were no statistically significant differences in general data (age, gender, smoking history, alcohol consumption history, comorbidities, etc.) between the two groups. The predictive model was successfully established, with recognition rates of 94.12%, 98.39%, and 91.30% for the training set, test set, and validation set, respectively. Exhaled gas analysis based on Fourier-transform infrared spectroscopy has the potential to diagnose H. pylori infection.
幽门螺杆菌（H. pylori）是全球最普遍的细菌之一，与胃溃疡和慢性胃炎等胃肠道疾病密切相关。目前的临床方法主要包括碳-13和碳-14尿素呼气试验，两者都存在潜在的安全风险。傅里叶变换红外（FTIR）光谱可以检测人体呼出的气体，这些气体在疾病状态下可能会发生变化。这项初步研究旨在探讨基于FTIR的呼气分析在检测幽门螺杆菌感染中的应用价值，为新的临床检测方法提供理论依据和临床参考。2021年8月至2022年5月在武汉大学人民医院进行了一项横断面调查。在摄入未标记尿素之前和之后半小时采集呼气样本。使用FTIR呼气光谱分析气体样本。通过K中心聚类算法，将扣除基线光谱数据后的个体呼气光谱数据用作训练集和测试集的基础。结果：共收集278份样本（63例幽门螺杆菌感染病例，215例健康对照）。两组之间的一般数据（年龄、性别、吸烟史、饮酒史、合并症等）无统计学显著差异。成功建立了预测模型，训练集、测试集和验证集的识别率分别为94.12%、98.39%和91.30%。基于傅里叶变换红外光谱的呼气气体分析具有诊断幽门螺杆菌感染的潜力。
