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Research article

Oral microbiome and ischemic stroke risk among elderly Chinese women

, , , , , , , & show all
Article: 2266655 | Received 21 Apr 2023, Accepted 29 Sep 2023, Published online: 08 Oct 2023

References

  • Feigin VL, Stark BA, Johnson CO, et al. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the global burden of disease study 2019. Lancet Neurol. 2021;20(10):795–12. doi: 10.1016/S1474-4422(21)00252-0
  • Tsao CW, Aday AW, Almarzooq ZI, et al. Heart disease and stroke statistics—2022 update: a report from the American Heart association. Circulation. 2022;145(8):e153–e639. doi: 10.1161/CIR.0000000000001052
  • Esenwa CC, Elkind MS. Inflammatory risk factors, biomarkers and associated therapy in ischaemic stroke. Nat Rev Neurol. 2016;12(10):594–604. doi: 10.1038/nrneurol.2016.125
  • Hart RG, Diener HC, Coutts SB, et al. Embolic strokes of undetermined source: the case for a new clinical construct. Lancet Neurol. 2014;13(4):429–438. doi: 10.1016/S1474-4422(13)70310-7
  • Fagundes NCF, Almeida APCPSC, Vilhena KFB, et al. Periodontitis as a risk factor for stroke: a systematic review and meta-analysis. Vasc Health Risk Manag. 2019;15:519–532. doi: 10.2147/VHRM.S204097
  • Chen C, Hemme C, Beleno J, et al. Oral microbiota of periodontal health and disease and their changes after nonsurgical periodontal therapy. ISME J. 2018;12(5):1210–1224. doi: 10.1038/s41396-017-0037-1
  • Sampaio-Maia B, Caldas IM, Pereira ML, et al. The oral microbiome in health and its implication in oral and systemic diseases. Adv Appl Microbiol. 2016;97:171–210. doi: 10.1016/bs.aambs.2016.08.002
  • Long J, Cai Q, Steinwandel M, et al. Association of oral microbiome with type 2 diabetes risk. J Periodontal Res. 2017;52(3):636–643. doi: 10.1111/jre.12432
  • LaMonte MJ, Gordon JH, Diaz‐Moreno P, et al. Oral microbiome is associated with incident hypertension among postmenopausal women. J Am Heart Assoc. 2022;11(6):e021930. doi: 10.1161/JAHA.121.021930
  • Boaden E, Lyons M, Singhrao SK, et al. Oral flora in acute stroke patients: a prospective exploratory observational study. Gerodontology. 2017;34(3):343–356. doi: 10.1111/ger.12271
  • Inenaga C, Hokamura K, Nakano K, et al. A potential New risk factor for stroke: streptococcus mutans with Collagen-Binding Protein. World Neurosurg. 2018;113:e77–e81. doi: 10.1016/j.wneu.2018.01.158
  • Zheng W, Chow WH, Yang G, et al. The Shanghai women’s health study: rationale, study design, and baseline characteristics. Am J Epidemiol. 2005;162(11):1123–1131. doi: 10.1093/aje/kwi322
  • Zhang X, Shu XO, Gao YT, et al. General and abdominal adiposity and risk of stroke in Chinese women. Stroke. 2009;40(4):1098–1104. doi: 10.1161/STROKEAHA.108.539692
  • Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–2120. doi: 10.1093/bioinformatics/btu170
  • Langmead B, Salzberg SL. Fast gapped-read alignment with bowtie 2. Nat Methods. 2012;9(4):357–359. doi: 10.1038/nmeth.1923
  • Wood DE, Lu J, Langmead B. Improved metagenomic analysis with Kraken 2. Genome Bio. 2019;20(1):257. doi: 10.1186/s13059-019-1891-0
  • Lu J, Breitwieser FP, Thielen P, et al. Bracken: estimating species abundance in metagenomics data. PeerJ Comput Sci. 2017;3:e104. doi: 10.7717/peerj-cs.104
  • Escapa IF, Chen T, Huang Y, et al. New insights into human nostril microbiome from the expanded human oral microbiome database (eHOMD): a resource for the microbiome of the human aerodigestive tract. mSystems. 2018;3(6). doi: 10.1128/mSystems.00187-18
  • Shao Y, Forster SC, Tsaliki E, et al. Stunted microbiota and opportunistic pathogen colonisation in caesarean section birth. Nature. 2019;574(7776):117–121. doi: 10.1038/s41586-019-1560-1
  • Franzosa EA, McIver LJ, Rahnavard G, et al. Species-level functional profiling of metagenomes and metatranscriptomes. Nat Methods. 2018;15(11):962–968. doi: 10.1038/s41592-018-0176-y
  • Suzek BE, Wang Y, Huang H, et al. UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches. Bioinformatics. 2015;31(6):926–932. doi: 10.1093/bioinformatics/btu739
  • Oksanen J, Blanchet FG, Friendly M, et al. Vegan: community ecology package. Published online November 28, 2020. [cited 2021 Sep 6]; Available from: https://CRAN.R-project.org/package=vegan
  • Zhao N, Chen J, Carroll IM, et al. Testing in microbiome-profiling studies with MiRKAT, the microbiome regression-based kernel association test. Am J Hum Genet. 2015;96(5):797–807. doi: 10.1016/j.ajhg.2015.04.003
  • Blei DM, Ng AY, Jordan MI. Latent Dirichlet allocation. J Mach Learn Res. 2003;3(Jan):993–1022.
  • Hosoda S, Nishijima S, Fukunaga T, et al. Revealing the microbial assemblage structure in the human gut microbiome using latent Dirichlet allocation. Microbiome. 2020;8(1):1–12. doi: 10.1186/s40168-020-00864-3
  • Deek RA, Li H. A zero-inflated Latent Dirichlet allocation model for microbiome studies. Front Genet. 2021. doi: 10.3389/fgene.2020.602594
  • Yan J, Chuai G, Qi T, et al. MetaTopics: an integration tool to analyze microbial community profile by topic model. BMC Genomics. 2017;18(Suppl 1):962. doi: 10.1186/s12864-016-3257-2
  • Breuninger TA, Wawro N, Breuninger J, et al. Associations between habitual diet, metabolic disease, and the gut microbiota using latent dirichllocation. Microbiome. 2021;9(1):61. doi: 10.1186/s40168-020-00969-9
  • Tsai CY, Tang CY, Tan TS, et al. Subgingival microbiota in individuals with severe chronic periodontitis. J Microbiol Immunol Infect. 2018;51(2):226–234. doi: 10.1016/j.jmii.2016.04.007
  • Nibali L, Sousa V, Davrandi M, et al. Patterns of subgingival microbiota in different periodontal phenotypes. J Dent. 2022;117:103912. doi: 10.1016/j.jdent.2021.103912
  • Meuric V, Le Gall-David S, Boyer E, et al. Signature of microbial dysbiosis in periodontitis. Appl environ microbiol. 2017;83(14):e00462–17. doi: 10.1128/AEM.00462-17
  • Gonçalves LFH, Fermiano D, Feres M, et al. Levels of Selenomonas species in generalized aggressive periodontitis. J Periodontal Res. 2012;47(6):711–718. doi: 10.1111/j.1600-0765.2012.01485.x
  • Nibali L, Sousa V, Davrandi M, et al. Differences in the periodontal microbiome of successfully treated and persistent aggressive periodontitis. J Clin Periodontol. 2020;47(8):980–990. doi: 10.1111/jcpe.13330
  • Olli P, Juha‐Pekka P, Sari T, et al. Oral bacterial signatures in cerebral thrombi of patients with acute ischemic stroke treated with thrombectomy. J Am Heart Assoc. 2019;8(11):e012330. doi: 10.1161/JAHA.119.012330
  • Ikeda E, Shiba T, Ikeda Y, et al. Japanese subgingival microbiota in health vs disease and their roles in predicted functions associated with periodontitis. Odontology. 2020;108(2):280–291. doi: 10.1007/s10266-019-00452-4
  • Tarumoto N, Sujino K, Yamaguchi T, et al. A first report of Rothia aeria endocarditis complicated by cerebral hemorrhage. Intern Med. 2012;51(23):3295–3299. doi: 10.2169/internalmedicine.51.7946
  • Collarino R, Vergeylen U, Emeraud C, et al. Mitral endocarditis due to Rothia aeria with cerebral haemorrhage and femoral mycotic aneurysms, first French description. New Microbes New Infect. 2016;13:40–42. doi: 10.1016/j.nmni.2016.06.004
  • Banjari M, Haddad E, Bonnet I, et al. Infective endocarditis due to Neisseria elongata: a case report and literature review. Infectious Diseases Now. 2021;51(7):622–626. doi: 10.1016/j.idnow.2021.01.013
  • Faveri M, Mayer MPA, Feres M, et al. Microbiological diversity of generalized aggressive periodontitis by 16S rRNA clonal analysis. Oral Microbiol Immunol. 2008;23(2):112–118. doi: 10.1111/j.1399-302X.2007.00397.x
  • Vielkind P, Jentsch H, Eschrich K, et al. Prevalence of Actinomyces spp. In patients with chronic periodontitis. Int J Med Microbiol. 2015;305(7):682–688. doi: 10.1016/j.ijmm.2015.08.018
  • Lourbakos A, Yuan Y, Jenkins AL, et al. Activation of protease-activated receptors by gingipains fromPorphyromonas gingivalis leads to platelet aggregation: a new trait in microbial pathogenicity. Blood. 2001;97(12):3790–3797. doi: 10.1182/blood.V97.12.3790
  • Wu C, Sun D. GABA receptors in brain development, function, and injury. Metab Brain Dis. 2015;30(2):367–379. doi: 10.1007/s11011-014-9560-1
  • Grosse GM, Schwedhelm E, Worthmann H, et al. Arginine derivatives in cerebrovascular diseases: mechanisms and clinical implications. Int J Mol Sci. 2020;21(5):1798. doi: 10.3390/ijms21051798
  • Jeitner TM, Battaile K, Cooper AJL. Critical evaluation of the changes in glutamine synthetase activity in models of cerebral stroke. Neurochem Res. 2015;40(12):2544–2556. doi: 10.1007/s11064-015-1667-1
  • Holmes I, Harris K, Quince C. Dirichlet multinomial mixtures: generative models for microbial metagenomics. PLOS One. 2012;7(2):e30126. doi: 10.1371/journal.pone.0030126