Variations in oral microbiome profiles in rheumatoid arthritis and osteoarthritis with potential biomarkers for arthritis screening

被引:0
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作者
Bin Chen
Yan Zhao
Shufeng Li
Lanxiu Yang
Haiying Wang
Tao Wang
Zhongtao Bin Shi
Xueyuan Gai
Chunling Heng
Junjie Zhang
Lei Yang
机构
[1] Shandong Normal University,College of Life Science
[2] Shandong Academy of Medical Sciences,Shandong Medicinal and Biotechnology Centre
[3] Qianfoshan Hospital Affiliated to Shandong University,Department of Orthopedics
[4] Guoyitang Hospital,College of Life Science
[5] Qilu Normal University,Qingdao Human Microbiome Center
[6] Shandong Institutes for Food and Drug Control,Shandong Children’s Microbiome Center
[7] The Affiliated Central Hospital of Qingdao University,Beijing Advanced Innovation Center for Big Data
[8] Siliu South Road 127,Based Precision Medicine
[9] Qilu Children’s Hospital of Shandong University,undefined
[10] Microbiological Laboratory,undefined
[11] Department of Infection Management,undefined
[12] Department of Neurosurgery,undefined
[13] Lin Yi People’s Hospital,undefined
[14] School of Chemistry and Environment,undefined
[15] Beihang University,undefined
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关键词
Oral Microbiome; Phylogenetic Investigation Of Communities By Reconstruction Of Unobserved States (PICRUSt); Veillonella Dispar; Lautrop; Neisseria Subflava;
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摘要
The key to arthritis management is early diagnosis and treatment to prevent further joint destruction and maximize functional ability. Osteoarthritis (OA) and rheumatoid arthritis (RA) are two common types of arthritis that the primary care provider must differentiate, in terms of diagnosis and treatment. Effective and non-invasive strategies for early detection and disease identification are sorely needed. Growing evidence suggests that RA has a correlation with oral microbiome and may be affected by its dynamic variations. There is already a study comparing oral microbiome in patients with RA and OA, however, it did not screen for potential biomarkers for arthritis. In this study, we assessed the oral microbiome in saliva samples from 110 RA patients, 67 OA patients and 155 healthy subjects, using 16S rRNA gene amplicon sequencing. The structure and differences in oral microbiome between RA, OA and healthy subjects were analyzed. Eight oral bacterial biomarkers were identified to differentiate RA from OA. This report provides proof of oral microbiota as an informative source for discovering non-invasive biomarkers for arthritis screening.
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