Sequencing of 16S rRNA Reveals a Distinct Salivary Microbiome Signature in Behcet's Disease

Patrick Coit¹, Gonca Mumcu², Filiz Ture Ozdemir³, Ali Ugur Unal⁴, Ugur Alpar⁵, Nagihan Bostanci⁶, Tulin Ergun⁷, Haner Direskeneli⁴ and Amr Sawalha¹, ¹Division of Rheumatology, University of Michigan, Ann Arbor, MI, ²Department of Health Management, Marmara University, Faculty of Health Sciences, Istanbul, Turkey, ³Marmara University, School of Medicine, Department of Immunology, Istanbul, Turkey, ⁴Department of Rheumatology, Marmara University Faculty of Medicine, Istanbul, Turkey, ⁵Faculty of Dentistry, Marmara University, Istanbul, Turkey, ⁶Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Stockholm, Sweden, ⁷Department of Dermatology, Faculty of Medicine, Marmara University, Istanbul, Turkey

Meeting: 2016 ACR/ARHP Annual Meeting

Date of first publication: September 28, 2016

Keywords: Behcet's syndrome and microbiome

Session Information

Date: Tuesday, November 15, 2016

Title: Vasculitis - Poster III: Rarer Vasculitides

Session Type: ACR Poster Session C

Session Time: 9:00AM-11:00AM

Background/Purpose: Behçet’s disease (BD) is a multisystem inflammatory disorder characterized by recurrent oro-genital ulcers, mucocutaneous lesions and serious organ involvement. The goal of this study was to investigate the structure of the salivary microbiome in patients with BD.

Methods: Stimulated saliva samples were collected from 31 BD patients and 15 healthy controls, and detailed oral health indices were recorded. In 9 BD patients a second oral health evaluation and saliva collection was performed following dental and periodontal treatment. High-throughput sequencing of the 16S rRNA V4 region in saliva samples was performed. Sequences were rigorously filtered and grouped into phylogenetically-related operational taxonomic units (OTUs), used to measure bacterial community diversity and richness. OTUs were classified using a 16S rRNA reference database at the species-level. AMOVA and LEfSe analyses were used to measure differences between patients and controls at the community- and species-level, respectively.

Results: Sequence analysis identified a total of 908 OTUs present across all samples. Patients had a microbial community structure that is significantly less diverse than healthy controls. The most overabundant species in BD patients compared to controls was Haemophilus parainfluenzae, while the most depleted included Alloprevotella rava and species in the genus Leptotrichia. Patients receiving periodontal treatment showed improvements in oral health indices, but no short-term differences in bacterial community structure. Neither the BD-associated genetic risk locus within the HLA-B/MICA region nor being on immunosuppressive medications explained the differences between patients and controls.

Conclusion: This is the first high-throughput sequencing-based evaluation of the salivary microbiome in BD. Salivary microbiome of BD patients has a specific signature characterized by changes at the community and species level.

Disclosure: P. Coit, None; G. Mumcu, None; F. Ture Ozdemir, None; A. U. Unal, None; U. Alpar, None; N. Bostanci, None; T. Ergun, None; H. Direskeneli, None; A. Sawalha, None.

To cite this abstract in AMA style:

Coit P, Mumcu G, Ture Ozdemir F, Unal AU, Alpar U, Bostanci N, Ergun T, Direskeneli H, Sawalha A. Sequencing of 16S rRNA Reveals a Distinct Salivary Microbiome Signature in Behcet’s Disease [abstract]. Arthritis Rheumatol. 2016; 68 (suppl 10). https://acrabstracts.org/abstract/sequencing-of-16s-rrna-reveals-a-distinct-salivary-microbiome-signature-in-behcets-disease/. Accessed .

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