Wu Yutao, Zhou Yi, Shi Wenjing, Zhou Siyu, Jiang Min, Shen Ke, Liu Xingyun, Li Xiaoyu, Wang Jiao, Zhang Chi, Shen Bairong, Tian Weidong
State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, People's Republic of China.
Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Interdiscip Sci. 2025 Sep 17. doi: 10.1007/s12539-025-00769-5.
The oral microbiome plays a crucial role in the development and progression of diseases. The complex interactions between the oral microbiome and diseases are challenging for clinicians in clinical decision-making and scientific research. To address this gap, we developed an oral microbiome knowledge database (ORMCKB), to provide evidence for personalized medicine and scientific research in the oral microbiome-disease axis. The current version of ORMCKB contains 11,554 data entries, encompassing 6941 oral microbe taxonomies, 234 diseases, 220 interventions, and 175 bacteriostats extracted from 818 publications. Compared to ChatGPT-4o, ORMCKB demonstrates superior performance in matching questions with responses (10 vs. 9.6), presenting research article details (10 vs. 5.80), and recommended scientific article authenticity ratio (100% vs. 33.63%). The system usability scale (SUS) and the net promoter score (NPS) were 86.07 and 85.71, respectively. As the first knowledge database focused on the oral microbiome-disease axis, ORMCKB provides a comprehensive, accurate, and user-friendly online resource for identifying key microbial players and their associations with oral diseases in personalized medicine. ORMCKB is set to sustain its prominence in cutting-edge research on the oral microbiome-disease axis, paving the way for future artificial intelligence applications in both scientific research and clinical practice. ORMCKB is publicly available at: http://sysbio.org.cn/ormckb.
口腔微生物群在疾病的发生和发展中起着至关重要的作用。口腔微生物群与疾病之间复杂的相互作用,给临床医生的临床决策和科学研究带来了挑战。为了填补这一空白,我们开发了一个口腔微生物群知识数据库(ORMCKB),为口腔微生物群-疾病轴上的个性化医疗和科学研究提供证据。ORMCKB的当前版本包含11554条数据记录,涵盖从818篇出版物中提取的6941种口腔微生物分类、234种疾病、220种干预措施和175种抑菌剂。与ChatGPT-4o相比,ORMCKB在问题与回答匹配(10比9.6)、呈现研究文章细节(10比5.80)以及推荐科学文章真实性比率(100%比33.63%)方面表现更优。系统可用性量表(SUS)和净促进者得分(NPS)分别为86.07和85.71。作为首个专注于口腔微生物群-疾病轴的知识数据库,ORMCKB为在个性化医疗中识别关键微生物及其与口腔疾病的关联提供了一个全面、准确且用户友好的在线资源。ORMCKB将在口腔微生物群-疾病轴的前沿研究中持续保持突出地位,为未来人工智能在科学研究和临床实践中的应用铺平道路。ORMCKB可在以下网址公开获取:http://sysbio.org.cn/ormckb 。