Chen Jiabin, Hu Qinqin, Chai Kequn, Wang Sheng
Department of Oncology, Tongde Hospital of Zhejiang Affiliated to Zhejiang University of Traditional Chinese Medicine, Hangzhou, Zhejiang 310012, China.
The Second Clinical Medical College, Zhejiang Chinese Medicine University, Hangzhou, Zhejiang 310012, China.
Comb Chem High Throughput Screen. 2024 Jun 5. doi: 10.2174/0113862073303081240521083505.
In lung adenocarcinoma (LUAD), Qi-deficiency and Phlegm-turbid stagnation (QP) are the most prevalent Traditional Chinese medicine (TCM) syndrome.
Herein, we collected 90 fecal samples (Healthy individual (H): 30; other syndrome (O): 30; QP: 30) and explored the composition and diversity of gut microbiota in LUAD patients with QP syndrome using 16s-rRNA sequencing. Then, we identified biomarkers for QP syndrome in LUAD patients with linear discriminant analysis (LDA) effect size (LEfSe) and applied logistic regression analysis to construct a diagnostic model evaluated with the area under the receiver operating characteristic curve (AUC) and validated with data from metagenomics.
The α diversity and β diversity revealed that the microbiota community structure in LUAD patients with QP syndrome was different from that with healthy individuals and LUAD patients with other syndromes. At the phylum level, the QP group had more abundance of Bacteroidetes and less Proteobacteria than the O group. At the genus level, the abundance of 4 genera (Bacteroides, Parabacteroides, Prevotella, and Flavonifractor) was different between the QP group and O group. Moreover, LEfSe indicated that those 4 genera might be the biomarkers for LUAD patients with QP syndrome. Then, we used those 4 genera to develop a diagnostic model. The AUC based on 16s-rRNA sequencing and metagenomics was 0.989 and 1, respectively.
A diagnostic model was developed, which would be an available tool for the clinical diagnosis of LUAD with QP syndrome.
在肺腺癌（LUAD）中，气虚痰浊（QP）是最常见的中医证候。
在此，我们收集了90份粪便样本（健康个体（H）：30份；其他证候（O）：30份；QP：30份），并使用16s - rRNA测序探索LUAD气虚痰浊证患者肠道微生物群的组成和多样性。然后，我们通过线性判别分析效应大小（LEfSe）确定LUAD患者气虚痰浊证的生物标志物，并应用逻辑回归分析构建诊断模型，用受试者工作特征曲线下面积（AUC）进行评估，并用宏基因组学数据进行验证。
α多样性和β多样性表明，LUAD气虚痰浊证患者的微生物群落结构与健康个体及其他证候的LUAD患者不同。在门水平上，QP组的拟杆菌门丰度高于O组，变形菌门丰度低于O组。在属水平上，QP组和O组之间有4个属（拟杆菌属、副拟杆菌属、普雷沃菌属和黄酮分解菌属）的丰度不同。此外，LEfSe表明这4个属可能是LUAD气虚痰浊证患者的生物标志物。然后，我们用这4个属建立了一个诊断模型。基于16s - rRNA测序和宏基因组学的AUC分别为0.989和1。
建立了一个诊断模型，这将是临床诊断LUAD气虚痰浊证的一个可用工具。
