Int J Stomatol

Int J Stomatol ›› 2019, Vol. 46 ›› Issue (5): 532-539.doi: 10.7518/gjkq.2019052

• Original Articles • Previous Articles     Next Articles

Shift of microbial composition of peri-implant gingival crevicular fluid as revealed by 16S ribosomal DNA high-throughput sequencing

Qing Wei1,Huang Lijuan1,Zheng Jiajun1,Ren Jing1,Li Chenglong2,Tuo Qiang2,Ren Xiaohua3,Mu Yandong1,3()   

  1. 1. School of Stomatology, Southwest Medical University, Luzhou 646099, China
    2. School of Medicine, University of Electronic Science and Technology, Chengdu 610054, China
    3. Dept. of Stomatology, Sichuan Provincial People’s Hospital, Chengdu 610072, China
  • Received:2018-09-05 Revised:2019-04-25 Online:2019-09-01 Published:2019-09-10
  • Contact: Yandong Mu E-mail:995448060@qq.com
  • Supported by:
    This study was supported by Sichuan Science and Technology Department Project(2016TD0008);Central University Fund(A03017023801295)

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Abstract:

Objective Microbes in gingival crevicular fluid are the key components of the subgingival microecosystem around implants and are closely related to implant health. Methods The microbial structure and diversity of 30 gingival crevicular bacteria were analysed by Illumina HiSeq 2500 sequencing technology. Results The Shannon indices of the peri-implantitis group were lower than those of healthy natural teeth and healthy implants (P<0.05). The bacterial communities mainly belong to Firmicutes, Proteobacteria, Fusobacteria, Bacteroidetes, Actinobacteria and 12 other phyla, and Prevotella, Treponema, Leptotrichia, Actinomyces, Streptococcus, Butyrivibrio and 491 other genera. At the phylum level, the Bacteroides was relatively high in the periimplan-titis group (P<0.05). Butyrivibrio is one of the dominant bacteria in peri-implant inflammation. The increase in isobutyric acid may be one of the factors leading to disease state. Conclusion Healthy implants exhibit abundant microbial polymorphisms, which are consistent with healthy natural teeth. When the tissues around the implants are exposed to inflammation caused by pathogenic bacteria, the abundance of related pathogens is increased, and its diversity declines.

Key words: high-throughput sequencing, peri-implantitis, microbial diversity

CLC Number: 

  • Q257

TrendMD: 

Tab 1

Characteristics of patients and clinical data"

项目 健康天然牙 健康种植体 种植体周围炎
牙位 上颌前牙 2 2 2
上颌后牙 4 4 5
下颌前牙 1 1 0
下颌后牙 3 3 3
行使功能时间/d 5.7±0.7 4.2±3.8
PD/mm 2.4±1.9 2.9±1.7 6.0±3.5
BOP 1 2 10

Fig 1

Length of distribution of raw reads"

Fig 2

Rarefaction curves of three groups"

Tab 2

Alpha diversity indices calculated for three groups"

组别 Chao 1 ACE Simpson Shannon Coverage
H 8 198.80±284.10 12 020.69±531.10 0.06±0.02 5.40±0.19 0.91±0.01
HI 8 985.73±1 494.03 13 496.45±497.50 0.06±0.02 5.47±0.21 0.91±0.01
PI 8 181.59±428.92 13 189.68±497.50 0.07±0.02 5.24±0.13 0.92±0.01
H-HI P值 0.281 0.161 0.672 0.466 0.622
H-PI P值 0.281 0.139 0.457 0.041* 0.645
HI-PI P值 0.942 0.795 0.245 0.009* 0.424

Fig 3

Shannon indices in three groups"

Fig 4

Principal component analysis of three groups"

Fig 5

Comparison of bacterial groups in each sample at pylum level"

Fig 6

Comparison of dominant bacteria in three groups"

Fig 7

Comparison of heatmap in three groups at genus level"

Fig 8

Comparison of bacterial groups in each sample at genus level"

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