Wang Boyang, Xiao Lihao, Chen Pan, Zhang Tingyu, Zhang Peng, Cao Liang, Zhou Ziyi, Cheng Haibo, Zhang Tong, Li Shao
Institute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRist, Department of Automation, Tsinghua University, Beijing, 100084, China.
School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Chin Med. 2024 Oct 4;19(1):134. doi: 10.1186/s13020-024-00998-8.
Chronic gastritis (CG) is a common inflammatory disease of chronic inflammatory lesion of gastric mucosa and in the diagnosis of gastritis in traditional Chinese medicine (TCM), CG can be classified into Cold ZHENG (syndrome in TCM) and Hot ZHENG. However, the molecular features of Cold/Hot ZHENG in CG and the mechanism of Cold/Hot herbs in formulae for CG remained unclear. In this study, we collected a transcriptomics data including 35 patients of Cold/Hot ZHENG CG and 3 scRNA-seq CG samples. And 25 formulae for CG and 89 herbs recorded in these formulae were also collected. We conduct a comprehensive analysis based on the combination of transcriptomics datasets and machine learning algorithms, to discover biomarkers for Cold/Hot ZHENG CG. Then the target profiles of the collected formulae and Cold/Hot herbs were predicted to uncover the features and biomarkers of them against Cold/Hot ZHENG CG. These biomarkers suggest that Hot ZHENG CG might be characterized by over-inflammation and exuberant metabolism, and Cold ZHENG CG showed a trend of suppression in immune regulation and energy metabolism. Biomarkers and specific pathways of Hot herbs tend to regulate immune responses and energy metabolism, while those of Cold herbs are more likely to participate in anti-inflammatory effects. Finally, the findings were verified based on public transcriptomics datasets, as well as transcriptomics and ELISA detection, taking Jin Hong tablets as a case study. Biomarkers like leptin and IL-6 together with proportions of immune cells showed significant changes after the intervention. These findings might reflect the mechanism and build a bridge between macro and micro views of Cold/Hot ZHENG as well as Cold/Hot herbs.
慢性胃炎(CG)是胃黏膜慢性炎症性病变的常见炎症性疾病,在中医胃炎诊断中,CG可分为寒证和热证。然而,CG中寒/热证的分子特征以及CG方剂中寒/热药的作用机制尚不清楚。在本研究中,我们收集了一个转录组学数据,包括35例寒/热证CG患者和3个单细胞RNA测序CG样本。还收集了25个CG方剂以及这些方剂中记录的89味中药。我们基于转录组学数据集和机器学习算法的结合进行综合分析,以发现寒/热证CG的生物标志物。然后预测所收集方剂和寒/热药的靶点谱,以揭示它们针对寒/热证CG的特征和生物标志物。这些生物标志物表明,热证CG可能以炎症过度和代谢旺盛为特征,而寒证CG在免疫调节和能量代谢方面呈抑制趋势。热药的生物标志物和特定途径倾向于调节免疫反应和能量代谢,而寒药的生物标志物更可能参与抗炎作用。最后,以金红片为例,基于公共转录组学数据集以及转录组学和酶联免疫吸附测定检测对研究结果进行了验证。干预后,瘦素和白细胞介素-6等生物标志物以及免疫细胞比例出现了显著变化。这些研究结果可能反映了其机制,并在寒/热证以及寒/热药的宏观和微观观点之间架起一座桥梁。