Sequencing of 16S rRNA reveals a distinct salivary microbiome signature in Behçet's disease.
Behçet's disease (BD) is characterized by recurrent oro-genital ulcers, mucocutaneous lesions, and serious organ involvement. We investigated the salivary microbiome in BD using high-throughput sequencing of the 16S rRNA V4 region. Stimulated saliva samples were collected from 31 BD patients and 15 healthy controls, and in 9 BD patients, a second saliva sample was collected following dental and periodontal treatment. Sequence analysis identified a total of 908 operational taxonomic units (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 was Haemophilus parainfluenzae, while the most depleted included Alloprevotella rava and species in the genus Leptotrichia. Periodontal treatment improved oral health indices in BD but had no short-term effect on 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.
Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Patrick
P
Coit
Faculty of Health Sciences, Marmara University, Istanbul, Turkey.
Gonca
G
Mumcu
Department of Immunology, Faculty of Medicine, Marmara University, Istanbul, Turkey.
Filiz
F
Ture-Ozdemir
Department of Rheumatology, Faculty of Medicine, Marmara University, Istanbul, Turkey.
Ali Ugur
AU
Unal
Faculty of Dentistry, Marmara University, Istanbul, Turkey.
Ugur
U
Alpar
Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Stockholm, Sweden.
Nagihan
N
Bostanci
Department of Dermatology, Faculty of Medicine, Marmara University, Istanbul, Turkey.
Tulin
T
Ergun
Department of Rheumatology, Faculty of Medicine, Marmara University, Istanbul, Turkey.
Haner
H
Direskeneli
Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA. Electronic address: asawalha@umich.edu.
Amr H
AH
Sawalha
D000293:Adolescent; D000328:Adult; D001419:Bacteria / Q000145:classification / Q000235:genetics; D001528:Behcet Syndrome / Q000188:drug therapy / Q000235:genetics / Q000382:microbiology*; D016002:Discriminant Analysis; D005260:Female; D005838:Genotype; D015235:HLA-B Antigens / Q000235:genetics; D044135:Haemophilus parainfluenzae / Q000235:genetics / Q000502:physiology; D054884:Host-Pathogen Interactions / Q000187:drug effects; D006801:Humans; D007166:Immunosuppressive Agents / Q000627:therapeutic use; D008297:Male; D064307:Microbiota / Q000235:genetics*; D008875:Middle Aged; D009911:Oral Hygiene Index; D010512:Periodontal Index; D012336:RNA, Ribosomal, 16S / Q000235:genetics*; D012463:Saliva / Q000382:microbiology*; D017422:Sequence Analysis, DNA; D055815:Young Adult
D015235:HLA-B Antigens; D007166:Immunosuppressive Agents; D012336:RNA, Ribosomal, 16S
16s rRNA; Behçet's disease; Genetics; Microbiome; Oral microbial diversity; Sequencing