龈上菌斑微生物与宿主血脂水平的相关性分析

doi:10.19439/j.sjos.2022.04.011

上海口腔医学 ›› 2022, Vol. 31 ›› Issue (4): 395-399.doi: 10.19439/j.sjos.2022.04.011

龈上菌斑微生物与宿主血脂水平的相关性分析

赵芬, 董婷, 苑克勇, 晋巧巧, 黄正蔚, 马瑞

上海交通大学医学院附属第九人民医院牙体牙髓病科,上海交通大学口腔医学院,国家口腔医学中心,国家口腔疾病临床医学研究中心,上海市口腔医学重点实验室,上海 200011

收稿日期:2021-01-18 修回日期:2021-02-21 出版日期:2022-08-25 发布日期:2022-08-30
通讯作者: 马瑞,E-mail: marui1723@sina.com
作者简介:赵芬(1995-),女,硕士,住院医师, E-mail：925629949@qq.com
基金资助:
国家自然科学基金（81570964）; 上海市科学技术委员会科研基金（201409001000）; 上海交通大学医学院附属第九人民医院、上海交通大学口腔医学院研究; 型学科基金（KQYJXK2020）

Correlation analysis of supragingival microbiome and host blood lipid levels

ZHAO Fen, DONG Ting, YUAN Ke-yong, JIN Qiao-qiao, HUANG Zheng-wei, MA Rui

Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology. Shanghai 200011, China

Received:2021-01-18 Revised:2021-02-21 Online:2022-08-25 Published:2022-08-30

摘要/Abstract

摘要： 目的: 分析龈上菌斑微生物与宿主血脂水平的相关性。方法: 采集68名45~60岁志愿者的龈上菌斑样本,提取总DNA并对其16S rDNA V3-V4区进行PCR扩增。扩增所得产物经Illumina MiSeq PE300平台测序后,进行OTU聚类、物种注释,并将注释到的物种(属水平)与宿主血脂水平作Spearman相关分析。采用SPSS 16.0软件包对数据进行统计学分析。结果: 68名志愿者的龈上菌斑样本测序所得平均序列数为41 929条,聚类所得OTU数为1 037,共注释到 25个门,45个纲,92个目,155个科和330个属。物种聚类热图显示68个样本具有相似的物种组成丰度模式。Spearman相关分析显示：在龈上菌斑微生物中,拟普雷沃菌属、小类杆菌属、消化链球菌属和普雷沃菌属7与宿主血清总胆固醇、低密度脂蛋白胆固醇水平呈负相关;宿主血清高密度脂蛋白胆固醇水平与奈瑟菌属的丰度呈正相关,但与普雷沃菌属2的丰度呈负相关。结论: 人群中龈上菌斑微生物的组成结构具有稳定性,与宿主血脂水平相关,可进一步探究龈上菌斑微生物作为宿主脂代谢状态的生物标志物。

关键词: 龈上菌斑, 微生物, 血脂水平, 16S rDNA测序, Spearman相关分析

Abstract: PURPOSE: To analyze the correlation between microbiome of supragingival plaque and host blood lipid levels. METHODS: Samples of supragingival plaques from 68 volunteers aged 45-60 years were collected. The total DNA was extracted, and 16S rDNA V3-V4 regions were amplified via PCR. The amplified products were sequenced by Illumina MiSeq PE300. After that, OTU clustering and species annotation were carried out. Then, the correlation of annotated species (genus level) and host blood lipid level were calculated with Spearman correlation analysis. SPSS 16.0 software package was used for statistical analysis. RESULTS: The average number of sequences obtained from the supragingival plaque samples was 41 929, and the number of OTUs obtained by clustering was 1 037. A total of 25 phyla, 45 classes, 92 orders, 155 families and 330 genera were annotated. Species heat maps showed a high degree of consistency in the species composition abundance of 68 samples. Spearman correlation analysis showed that among the supragingival microorganisms, Alloprevotella spp., Dialister spp., Peptostreptococcus spp. and Prevotella 7 spp., were negatively correlated with the host serum total cholesterol/low density lipoprotein cholesterol level. Neisseria spp. was positively correlated with host serum high-density lipoprotein cholesterol, but negatively correlated with Prevotella 2 spp.. CONCLUSIONS: The compositional structure of the supragingival microbiome is relatively stable and has a correlation with the host blood lipid levels. Profiles of supragingival microbiome can be promising biomarkers of the lipid metabolism of the host.

Key words: Supragingival plaque, Microbiome, Blood lipid levels, 16S rDNA sequencing, Spearman correlation analysis

中图分类号:

R781

赵芬, 董婷, 苑克勇, 晋巧巧, 黄正蔚, 马瑞. 龈上菌斑微生物与宿主血脂水平的相关性分析[J]. 上海口腔医学, 2022, 31(4): 395-399.

ZHAO Fen, DONG Ting, YUAN Ke-yong, JIN Qiao-qiao, HUANG Zheng-wei, MA Rui. Correlation analysis of supragingival microbiome and host blood lipid levels[J]. Shanghai Journal of Stomatology, 2022, 31(4): 395-399.

参考文献

[1] Schoeler M, Caesar R.Dietary lipids, gut microbiota and lipid metabolism[J]. Rev Endocr Metab Disord, 2019, 20(4): 461-472.
[2] Kopin L, Lowenstein C. Dyslipidemia[J]. Ann Intern Med, 2017, 167(11): ITC81-ITC96.
[3] Wei YS, Hsiao YC, Su GW, et al.Identification of hyperglycemia-associated microbiota alterations in saliva and gingival sulcus[J]. Arch Biochem Biophys, 2020, 682: 108278.
[4] Chen B, Wang Z, Wang J, et al.The oral microbiome profile and biomarker in Chinese type 2 diabetes mellitus patients[J]. Endocrine, 2020, 68(3): 564-572.
[5] de Andrade PAM, Giovani PA, Araujo DS, et al. Shifts in the bacterial community of saliva give insights on the relationship between obesity and oral microbiota in adolescents[J]. Arch Microbiol, 2020, 202(5): 1085-1095.
[6] Si J, Lee C, Ko G.Oral Microbiota: microbial biomarkers of metabolic syndrome independent of host genetic factors[J]. Front Cell Infect Microbiol, 2017, 7: 516.
[7] Jaramillo A, Lafaurie GI, Millán LV, et al.Association between periodontal disease and plasma levels of cholesterol and triglycerides[J]. Colomb Med (Cali), 2013, 44(2): 80-86.
[8] 曹采方. 牙周病学[M]. 北京: 人民卫生出版社, 2000: 80-82.
[9] Hintao J, Teanpaisan R, Chongsuvivatwong V, et al.The microbiological profiles of saliva, supragingival and subgingival plaqueand dental caries in adults with and without type 2 diabetes mellitus[J]. Oral Microbiol Immunol, 2007, 22(3): 175-181.
[10] LaMonte MJ, Williams AM, Genco RJ, et al. Association between metabolic syndrome and periodontal disease measures in postmenopausal women: the Buffalo OsteoPerio study[J]. J Periodontol, 2014, 85(11): 1489-1501.
[11] Lin W, Jiang W, HuX, et al. Ecological shifts of supragingival microbiota in association with pregnancy[J]. Front Cell Infect Microbiol, 2018, 8: 24-35.
[12] Silbergeld EK.The microbiome[J]. Toxicol Pathol, 2017, 45(1): 190-194.
[13] Dominguez-Bello MG, Godoy-Vitorino F, Knight R, et al.Role of the microbiome in human development[J]. Gut, 2019, 68(6): 1108-1114.
[14] Zhang X, Zhang D, Jia H, et al.The oral and gut microbiomes areperturbed in rheumatoid arthritis and partly normalized after treatment[J]. Nat Med, 2015, 21(8): 895-905.
[15] Zaura E, Keijser BJ, Huse SM, et al.Defining the healthy "core microbiome" of oral microbial communities[J]. BMC Microbiol, 2009, 9: 259.
[16] Jiang WX, Hu YJ, Gao L, et al.The impact of various time intervals on the supragingival plaque dynamic core microbiome[J]. PLoS One, 2015,10(5): e0124631.
[17] Deng Y, Zou W, Chen G, et al.Comparative studies on the effects of different doses of atorvastatin combined with aspirin on inflammatory cytokines and carotid plaques in patients with ischemic cerebrovascular disease[J]. Int J Neurosci, 2019, 129(11): 1133-1138.
[18] Sahebkar A, Simental-Mendía LE, Giorgini P, et al.Lipid profile changes after pomegranate consumption: a systematic review and meta-analysis of randomized controlled trials[J]. Phytomedicine, 2016, 23(11): 1103-1112.
[19] 杨杰. 血浆TC/HDL-C和LDL-C/HDL-C比值与冠心病严重程度的相关性分析[J]. 实用医药杂志, 2017, 34(1): 14-16.
[20] Nitz K, Lacy M, Atzler D.Amino acids and their metabolism in atherosclerosis[J]. Arterioscler Thromb Vasc Biol, 2019, 39(3): 319-330.
[21] Meuric V, Le Gall-David S, Boyer E, et al. Signature of microbial dysbiosis in periodontitis[J]. Appl Environ Microbiol, 2017, 83(14): e00462-17.
[22] Chen Z, Qi J, Wei Q, et al.Variations in gut microbial profiles in ankylosing spondylitis: disease phenotype-related dysbiosis[J]. Ann Transl Med, 2019, 7(20): 571-586.
[23] Sun Y, Chen Q, Lin P, et al.Characteristics of gut microbiota in patients with rheumatoid arthritis in Shanghai, China[J]. Front Cell Infect Microbiol, 2019, 9: 369-380.
[24] 朱艳, 杨懿君, 许哲. 血脂水平与牙周炎发病相关性及牙周基础治疗对血脂的影响[J].中华口腔医学研究杂志(电子版), 2020, 14(3): 176-180.
[25] Segata N, Haake SK, Mannon P, et al.Composition of the adult digestive tract bacterial microbiome based on seven mouth surfaces, tonsils, throat and stool samples[J]. Genome Biol, 2012, 13(6): R42-R60.
[26] Beukers NG, van der Heijden GJ, van Wijk AJ, et al. Periodontitis is an independent risk indicator for atherosclerotic cardiovascular diseases among 60 174 participants in a large dental school in the Netherlands[J]. J Epidemiol Community Health, 2017, 71(1): 37-42.
[27] Matulewicz N, Karczewska-Kupczewska M.Insulin resistance and chronic inflammation[J]. Postepy Hig Med Dosw (Online), 2016, 70: 1245-1258.
[28] 李锐锋, 刘婉薇, 张平优, 等. 非酒精性脂肪性肝病患者和正常人群的唾液菌群的研究[J].实用医学杂志, 2017, 33(21): 3593-3597.
[29] Wang Z, Koonen D, Hofker M, et al.Gut microbiome and lipid metabolism: from associations to mechanisms[J]. Curr Opin Lipidol, 2016, 27(3): 216-224.
[30] 刘枘岢, 陈毅光, 李雯翀, 等. 2型糖尿病患者肠道菌群的变化及其与代谢指标的关系[J].实用医学杂志, 2019, 35(20): 3208-3213.
[31] 孔淑君, 陈卫东. 慢性肾脏病患者血脂变化特征及与氧化应激相关性研究[J]. 齐齐哈尔医学院学报, 2020, 41(1): 20-24.

龈上菌斑微生物与宿主血脂水平的相关性分析

Correlation analysis of supragingival microbiome and host blood lipid levels

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 5

编辑推荐

Metrics

本文评价

[1]	李杨, 赵梦珺, 卢红巧, 刘建国, 刘云坤, 吴家媛. 基于16S rDNA高通量测序技术的重度低龄儿童龋患者口腔微生物及肠道菌群群落分析[J]. 上海口腔医学, 2024, 33(2): 164-169.
[2]	王力, 徐睿. 母亲口腔状况对新生儿口腔菌群的影响[J]. 上海口腔医学, 2023, 32(3): 318-322.
[3]	马浩然, 刘子晗. 南京市860名1~6岁儿童口腔微生物与肠道菌群构成差异分析[J]. 上海口腔医学, 2022, 31(3): 270-273.
[4]	王诗维, 杨建军, 张松梓. 不同牙龋病状况患者龈上菌斑及龋损组织微生物多样性分析[J]. 上海口腔医学, 2022, 31(2): 201-204.
[5]	赵湘, 葛化冰, 冯洁, 杜岩. 种植体周围炎与健康种植体黏膜下微生态环境的对照研究[J]. 上海口腔医学, 2020, 29(2): 208-212.