scholarly journals Using next‐generation sequencing to detect oral microbiome change following periodontal interventions: A systematic review

Oral Diseases ◽  
2020 ◽  
Author(s):  
Ya Zhang ◽  
Yinliang Qi ◽  
Edward C. M. Lo ◽  
Colman McGrath ◽  
May Lei Mei ◽  
...  
2019 ◽  
Vol 8 (8) ◽  
pp. 1110 ◽  
Author(s):  
Melissa M. Grant ◽  
Daniel Jönsson

Cardiovascular disease is a worldwide human condition which has multiple underlying contributing factors: one of these is long-term increased blood pressure—hypertension. Nitric oxide (NO) is a small nitrogenous radical species that has a number of physiological functions including vasodilation. It can be produced enzymatically through host nitric oxide synthases and by an alternative nitrate–nitrite–NO pathway from ingested inorganic nitrate. It was discovered that this route relies on the ability of the oral microbiota to reduce nitrate to nitrite and NO. Next generation sequencing has been used over the past two decades to gain deeper insight into the microbes involved, their location and the effect of their removal from the oral cavity. This review article presents this research and comments briefly on future directions.


2021 ◽  
Vol 8 ◽  
Author(s):  
Zhonghui Ma ◽  
Su Yan ◽  
Haoxin Dong ◽  
Huifen Wang ◽  
Yonggang Luo ◽  
...  

Brain abscesses are associated with an increased long-term risk of new seizures and increased mortality within several years after infection. Common microorganisms that cause brain abscesses include bacteria, fungi, and mycoplasma. We report a 75-year-old man with a brain abscess caused by Prevotella denticola, an oral pathogen. Based on the clinical condition, we suspected that the patient had a blood-borne brain abscess, and he received antibiotics and systemic supportive treatment. The patient developed shock for the second time after negative Gram-staining results. Metagenomics next-generation sequencing showed one strain from the oral microbiome, confirming our hypothesis, and targeted antibiotic treatment was administered quickly. Thus, we report a case in which genomic analysis was the critical factor in determining the best antimicrobial therapy for administration.


PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243161
Author(s):  
Guocan Yu ◽  
Wuchen Zhao ◽  
Yanqin Shen ◽  
Pengfei Zhu ◽  
Hong Zheng

Background Tuberculous meningitis (TBM) is a severe form of extrapulmonary tuberculosis and its early diagnosis is very difficult leading to present with severe disability or die. The current study aimed to assess the accuracy of metagenomic next generation sequencing (mNGS) for TBM, and to identify a new test for the early diagnosis of TBM. Methods We searched for articles published in Embase, PubMed, Cochrane Library, China National Knowledge Infrastructure, and Wanfang Data up to June 30, 2020 for studies that assessed the efficacy of mNGS for the diagnosis of TBM. Then, the accuracy between mNGS and a composite reference standard (CRS) in these articles was compared using the meta-analysis approach. Results Four independent studies with 342 samples comparing mNGS and a CRS were included in this study. The sensitivity of mNGS for TBM diagnosis ranged from 27% to 84%. The combined sensitivity of mNGS was 61%, and the I2 value was 92%. Moreover, the specificity of mNGS for TBM diagnosis ranged from 96% to 100%. The combined specificity of mNGS was 98%, and the I2 value was 74%. The heterogeneity between studies in terms of sensitivity and specificity was significant. The area under the curve (AUC) of the summary receiver operating characteristic curve (SROC) of mNGS for TBM was 0.98. Conclusions The sensitivity of mNGS for TBM diagnosis was moderate. Furthermore, the specificity was extremely high, and the AUC of the SROC indicated a very good diagnostic efficacy. mNGS could be used as an early diagnostic method for TBM, however, the results should be treated with caution for the heterogeneity between studies was extremely significant. Systematic review registration INPLASY202070100.


2018 ◽  
Vol 144 ◽  
pp. 91-98 ◽  
Author(s):  
Christina J. Adler ◽  
Abbe White ◽  
Michelle Bockmann ◽  
Gina V. Browne ◽  
Grant Townsend ◽  
...  

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