Myocardial infarction risk is increased by periodontal pathobionts: a cross-sectional study

C Joshi, A Mezincescu, M Gunasekara, A Rudd, H Botchorichvili, S Sabir, C Dospinescu, A Noman, D Hogg, G Cherukara, D McLernon, K Hijazi, D Dawson, C Joshi, A Mezincescu, M Gunasekara, A Rudd, H Botchorichvili, S Sabir, C Dospinescu, A Noman, D Hogg, G Cherukara, D McLernon, K Hijazi, D Dawson

Abstract

To establish the role of periodontal pathobionts as a risk factor for myocardial infarction, we examined the contribution of five periodontal pathobionts and their virulence genes' expressions to myocardial injury (Troponin-I) and coronary artery disease burden (SYNTAX-I scores) using hierarchical linear regression. Pathobiont loads in subgingival-plaques and intra-coronary-thrombi were compared. Troponin-I release increased with one 16S rRNA gene copy/ng DNA of Porphyromonas gingivalis (β = 6.8 × 10-6, 95% CI = 1.1 × 10-7-2.1 × 10-5), one-fold increased expressions of fimA (β = 14.3, 95% CI = 1.5-27.1), bioF-3 (β = 7.8, 95% CI = 1.1-12.3), prtH (β = 1107.8, 95% CI = 235.6-2451.3), prtP (β = 6772.8, 95% CI = 2418.7-11,126.9), ltxA (β = 1811.8, 95% CI = 217.1-3840.8), cdtB (β = 568.3, 95% CI = 113.4-1250.1), all p < 0.05. SYNTAX-I score increased with one 16S rRNA gene copy/ng DNA of Porphyromonas gingivalis (β = 3.8 × 10-9, 95% CI = 3.6 × 10-10-1.8 × 10-8), one-fold increased expressions of fimA (β = 1.2, 95% CI = 1.1-2.1), bioF-3 (β = 1.1, 95% CI = 1-5.2), prtP (β = 3, 95% CI = 1.3-4.6), ltxA (β = 1.5, 95% CI = 1.2-2.5), all p < 0.05. Within-subject Porphyromonas gingivalis and Tannerella forsythia from intra-coronary-thrombi and subgingival-plaques correlated (rho = 0.6, p < 0.05). Higher pathobiont load and/or upregulated virulence are risk factors for myocardial infarction.Trial registration: ClinicalTrials.gov Identifier: NCT04719026.

Conflict of interest statement

The authors declare no competing interests.

© 2022. The Author(s).

Figures

Figure 1
Figure 1
Change in the predicted (A) 12-h Troponin I, (B) SYNTAX-I scores, with worsening markers of periodontitis and P. gingivalis load. (A) the incremental effect of three clinical indicators of periodontitis (PISA, mean-PPD, mean-CAL) and subgingival P. gingivalis load on 12-h Troponin I levels, (B) incremental effect of mean-PPD, mean-CAL and subgingival P. gingivalis load on SYNTAX-I score. PISA periodontal inflamed surface area, PPD probing pocket depths, CAL clinical attachment loss.
Figure 2
Figure 2
Comparison of within-subject periodontal pathobiont loads in intra-coronary thrombi and subgingival plaques collected from the myocardial infarction patients (n = 10). Corresponding bacterial loads (16S rRNA gene copies/ng DNA) of four periodontal pathobionts: P. gingivalis (yellow), T. forsythia (green), P. intermedia (red) and A. actinomycetemcomitans (purple) in aspirated intra-coronary thrombi and subgingival plaque samples from ten ST-segment elevation myocardial infarction patients (dashed lines show paired samples for each patient). Rho-spearman’s correlation coefficient, * = p < 0.05.
Figure 3
Figure 3
Study flow-chart (STROBE-type diagram).

References

    1. Gomes-Filho IS, et al. Severe and moderate periodontitis are associated with acute myocardial infarction. J. Periodontol. 2020;91(11):1444–1452. doi: 10.1002/JPER.19-0703.
    1. Rydén L, et al. Periodontitis increases the risk of a first myocardial infarction: a report from the parokrank study. Circulation. 2016;133(6):576–583. doi: 10.1161/CIRCULATIONAHA.115.020324.
    1. Hajishengallis G, Lamont RJ. Dancing with the stars: how choreographed bacterial interactions dictate nososymbiocity and give rise to keystone pathogens, accessory pathogens, and pathobionts. Trends Microbiol. 2016;24(6):477–489. doi: 10.1016/j.tim.2016.02.010.
    1. Kilian M, et al. The oral microbiome - an update for oral healthcare professionals. Br. Dent. J. 2016;221(10):657–666. doi: 10.1038/sj.bdj.2016.865.
    1. Piñon-Esteban P, et al. Presence of bacterial DNA in thrombotic material of patients with myocardial infarction. Sci. Rep. 2020;10(1):16235–16299. doi: 10.1038/s41598-020-73011-5.
    1. Joshi C, et al. Detection of periodontal microorganisms in coronary atheromatous plaque specimens of myocardial infarction patients: a systematic review and meta-analysis. Trends Cardiovasc. Med. 2021;31(1):69–82. doi: 10.1016/j.tcm.2019.12.005.
    1. Pessi T, et al. Bacterial signatures in thrombus aspirates of patients with myocardial infarction. Circulation. 2013;127(11):1219–1226. doi: 10.1161/CIRCULATIONAHA.112.001254.
    1. Chukkapalli SS, et al. Polymicrobial oral infection with four periodontal bacteria orchestrates a distinct inflammatory response and atherosclerosis in apoe null mice. PLoS ONE. 2015;10(11):e0143291. doi: 10.1371/journal.pone.0143291.
    1. Schenkein HA, Papapanou PN, Genco R, Sanz M. Mechanisms underlying the association between periodontitis and atherosclerotic disease. Periodontol 2000. 2020;83(1):90–106. doi: 10.1111/prd.12304.
    1. Sanz M, et al. Periodontitis and cardiovascular diseases: consensus report. J. Clin. Periodontol. 2020;47(3):268–288. doi: 10.1111/jcpe.13189.
    1. Pussinen PJ, et al. Periodontitis and cardiometabolic disorders: the role of lipopolysaccharide and endotoxemia. Periodontol 2000. 2022;89(1):19–40. doi: 10.1111/prd.12433.
    1. Tonetti MS, Greenwell H, Kornman KS. Staging and grading of periodontitis: framework and proposal of a new classification and case definition. J. Periodontol. 2018;89(Suppl 1):S159–S172. doi: 10.1002/JPER.18-0006.
    1. Araujo MW, et al. Reproducibility of probing depth measurement using a constant-force electronic probe: analysis of inter- and intraexaminer variability. J. Periodontol. 2003;74(12):1736–1740. doi: 10.1902/jop.2003.74.12.1736.
    1. Doganay O, Atalay B, Karadag E, Aga U, Tugrul M. Bleeding frequency of patients taking ticagrelor, aspirin, clopidogrel, and dual antiplatelet therapy after tooth extraction and minor oral surgery. J. Am. Dent. Assoc. 2018;149(2):132–138. doi: 10.1016/j.adaj.2017.09.052.
    1. Jia L, et al. Pathogenesis of important virulence factors of porphyromonas gingivalis via toll-like receptors. Front. Cell Infect. Microbiol. 2019;9:262. doi: 10.3389/fcimb.2019.00262.
    1. Dashper SG, Seers CA, Tan KH, Reynolds EC. Virulence factors of the oral spirochete treponema denticola. J. Dent. Res. 2011;90(6):691–703. doi: 10.1177/0022034510385242.
    1. Zwickl NF, Stralis-Pavese N, Schäffer C, Dohm JC, Himmelbauer H. Comparative genome characterization of the periodontal pathogen tannerella forsythia. BMC Genomics. 2020;21(1):150-y. doi: 10.1186/s12864-020-6535-y.
    1. Belibasakis GN, et al. Virulence and pathogenicity properties of aggregatibacter actinomycetemcomitans. Pathogens. 2019;8(4):222. doi: 10.3390/pathogens8040222.
    1. Horliana AC, et al. Dissemination of periodontal pathogens in the bloodstream after periodontal procedures: A systematic review. PLoS ONE. 2014;9(5):e98271. doi: 10.1371/journal.pone.0098271.
    1. Thygesen K, et al. Fourth universal definition of myocardial infarction. Circulation. 2018;138(20):e618–e651. doi: 10.1161/CIR.0000000000000617.
    1. Marfil-Álvarez R, et al. Acute myocardial infarct size is related to periodontitis extent and severity. J. Dent. Res. 2014;93(10):993–998. doi: 10.1177/0022034514548223.
    1. von Elm E, et al. The strengthening the reporting of observational studies in epidemiology (strobe) statement: guidelines for reporting observational studies. Lancet. 2007;370(9596):1453–1457. doi: 10.1016/S0140-6736(07)61602-X.
    1. The good practitioner's guide to periodontology. 3rd version. British Society of Periodontology. (2016).
    1. Lang NP, Joss A, Orsanic T, Gusberti FA, Siegrist BE. Bleeding on probing. A predictor for the progression of periodontal disease? J. Clin. Periodontol. 1986;13(6):590–596. doi: 10.1111/j.1600-051X.1986.tb00852.x.
    1. Löe H. The gingival index, the plaque index and the retention index systems. J. Periodontol. 1967;38(6):610–616. doi: 10.1902/jop.1967.38.6.610.
    1. Nesse W, et al. Periodontal inflamed surface area: quantifying inflammatory burden. J. Clin. Periodontol. 2008;35(8):668–673. doi: 10.1111/j.1600-051X.2008.01249.x.
    1. Navazesh M. Methods for collecting saliva. Ann. N. Y. Acad. Sci. 1993;694:72–77. doi: 10.1111/j.1749-6632.1993.tb18343.x.
    1. Brankatschk R, Bodenhausen N, Zeyer J, Bürgmann H. Simple absolute quantification method correcting for quantitative pcr efficiency variations for microbial community samples. Appl. Environ. Microbiol. 2012;78(12):4481–4489. doi: 10.1128/AEM.07878-11.
    1. Zhang Y, et al. Population-genomic insights into variation in prevotella intermedia and prevotella nigrescens isolates and its association with periodontal disease. Front. Cell Infect. Microbiol. 2017;7:409. doi: 10.3389/fcimb.2017.00409.
    1. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative pcr and the 2(-delta delta c(t)) method. Methods. 2001;25(4):402–408. doi: 10.1006/meth.2001.1262.
    1. Bustin SA, et al. The miqe guidelines: minimum information for publication of quantitative real-time pcr experiments. Clin. Chem. 2009;55(4):611–622. doi: 10.1373/clinchem.2008.112797.
    1. Balk EM, Ioannidis JP, Salem D, Chew PW, Lau J. Accuracy of biomarkers to diagnose acute cardiac ischemia in the emergency department: A meta-analysis. Ann. Emerg. Med. 2001;37(5):478–494. doi: 10.1067/mem.2001.114905.
    1. Serruys PW, et al. Percutaneous coronary intervention versus coronary-artery bypass grafting for severe coronary artery disease. N. Engl. J. Med. 2009;360(10):961–972. doi: 10.1056/NEJMoa0804626.

Source: PubMed

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