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本文引用的文献

1
Salivary biomarkers for caries risk assessment.用于龋齿风险评估的唾液生物标志物。
J Calif Dent Assoc. 2013 Feb;41(2):107-9, 112-8.
2
Genome-wide association studies of pit-and-fissure- and smooth-surface caries in permanent dentition.恒牙窝沟和光滑面龋的全基因组关联研究。
J Dent Res. 2013 May;92(5):432-7. doi: 10.1177/0022034513481976. Epub 2013 Mar 7.
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GWAS of dental caries patterns in the permanent dentition.GWAS 分析恒牙龋齿模式。
J Dent Res. 2013 Jan;92(1):38-44. doi: 10.1177/0022034512463579. Epub 2012 Oct 11.
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Factors associated with alkali production from arginine in dental biofilms.与牙菌斑中精氨酸产碱相关的因素。
J Dent Res. 2012 Dec;91(12):1130-4. doi: 10.1177/0022034512461652. Epub 2012 Sep 24.
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Microbial ecology and host-microbiota interactions during early life stages.早期生命阶段的微生物生态学和宿主-微生物群相互作用。
Gut Microbes. 2012 Jul-Aug;3(4):352-65. doi: 10.4161/gmic.21215. Epub 2012 Jun 29.
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Deep sequencing of the oral microbiome reveals signatures of periodontal disease.口腔微生物组的深度测序揭示了牙周病的特征。
PLoS One. 2012;7(6):e37919. doi: 10.1371/journal.pone.0037919. Epub 2012 Jun 4.
7
Metabolomics reveals differential levels of oral metabolites in HIV-infected patients: toward novel diagnostic targets.代谢组学揭示了 HIV 感染患者口腔代谢物的差异水平:寻求新的诊断靶点。
OMICS. 2013 Jan;17(1):5-15. doi: 10.1089/omi.2011.0035. Epub 2011 Jul 13.
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Regulation of innate and adaptive immunity by the commensal microbiota.共生微生物菌群对固有免疫和适应性免疫的调节。
Curr Opin Immunol. 2011 Jun;23(3):353-60. doi: 10.1016/j.coi.2011.03.001. Epub 2011 Apr 3.
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The role of bacteria in the caries process: ecological perspectives.细菌在龋齿形成过程中的作用:生态视角。
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10
Acceleration of purine degradation by periodontal diseases.牙周疾病导致嘌呤降解加速。
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利用代谢组学探究牙列、龋齿和家族性对口腔健康的影响。

Exploring the effect of dentition, dental decay and familiality on oral health using metabolomics.

机构信息

Department of Epidemiology, University of Michigan, United States.

Department of Epidemiology, University of Michigan, United States.

出版信息

Infect Genet Evol. 2014 Mar;22:201-7. doi: 10.1016/j.meegid.2013.09.020. Epub 2013 Sep 27.

DOI:10.1016/j.meegid.2013.09.020
PMID:24080168
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3943654/
Abstract

As a proof of principle, we used an untargeted global metabolic profiling of saliva to understand the biochemical processes associated with dental decay, dentition (primary and secondary tooth eruption) and familiality in a sample of 25 sibling pairs. Pairs were selected to represent four different combinations of dentition and tooth health: (1) both siblings with primary teeth and no decay (n=5); (2) both siblings with primary teeth and discordant for dental decay (n=6); (3) both siblings with primary teeth and dental decay (n=4); and (4) one sibling with primary teeth the other with mixed dentition and both with no dental decay (n=10). There was a strong effect of sibship on the metabolite profiles identified; this may reflect the effects of common genes, environment and behaviors, and shared oral microbial communities. Nested in the familial effects were associations of metabolite profile with dentition and with dental decay. Using three different analyses (Euclidean distance, hierarchical clustering and PCA using selected biochemicals) metabolite profiles of saliva from children with decayed teeth were more similar than the metabolite profiles of saliva from children with healthy (sound) teeth. Larger studies that include host behaviors, environmental factors, oral microbiota composition and structure, and host genetic predisposition are required to identify biomarkers for decay, and to estimate the relative contribution of host factors and oral microbes on risk of dental decay.

摘要

作为原理验证,我们使用非靶向性全局唾液代谢组学分析来了解与龋齿、牙列(乳牙和恒牙萌出)以及 25 对同胞家庭相关的生化过程。选择这些同胞对以代表牙列和牙齿健康的四种不同组合:(1)均为乳牙且无龋齿的同胞(n=5);(2)均为乳牙且龋齿状况不一致的同胞(n=6);(3)均为乳牙且有龋齿的同胞(n=4);以及(4)一个同胞为乳牙,另一个为混合牙列,两者均无龋齿的同胞(n=10)。在确定的代谢物图谱中,同胞关系具有很强的影响;这可能反映了共同基因、环境和行为以及共享口腔微生物群落的影响。在家族效应中,代谢物图谱与牙列和龋齿之间存在关联。使用三种不同的分析方法(欧式距离、层次聚类和使用选定生化标志物的 PCA),患有龋齿儿童的唾液代谢物图谱比健康(完好)牙齿儿童的唾液代谢物图谱更为相似。需要更大的研究包括宿主行为、环境因素、口腔微生物群落组成和结构以及宿主遗传易感性,以确定龋齿的生物标志物,并估计宿主因素和口腔微生物对龋齿风险的相对贡献。