Utility of Salivary Biomarkers for Demonstrating Acute Myocardial Infarction

Miller, Craig S.; Foley, Joseph D.; Floriano, Pierre N.; Christodoulides, Nicolaos; Ebersole, J. L.; Campbell, Charles L.; Bailey, Alison L.; Rose, Beate G.; Kinane, Denis F.; Novak, Marián; McDevitt, John T.; Ding, Xiuhua; Kryscio, Richard J.

doi:10.1177/0022034514537522

Cited by 61 publications

(65 citation statements)

References 33 publications

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“…Saliva diagnostics in medicine and pharmacotherapy is an area of vivid research to date (Kaczor‐Urbanowicz et al., ). Saliva biomarkers reflecting CVD are investigated abundantly (Miller et al., ), because sampling of saliva is non‐invasive, rapid and cost‐effective (Miller et al., ). Saliva biomarkers such as, MMP‐9, MPO, CRP, IL ‐1β, are presented to be promising in AMI diagnostics (Christodoulides et al., ), and a panel of biomarker combinations in early stage of AMI is investigated (Floriano et al., ).…”

Section: Discussionmentioning

confidence: 99%

Saliva and serum biomarkers in periodontitis and coronary artery disease

Lahdentausta

Paju

Mäntylä

et al. 2018

J Clinic Periodontology

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Section: Discussionmentioning

confidence: 99%

Saliva and serum biomarkers in periodontitis and coronary artery disease

Lahdentausta

Paju

Mäntylä

et al. 2018

J Clinic Periodontology

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“…These cytokines might be potential biomarkers for the diagnosis of periodontal disease and atherosclerosis. 29 Miller et al 30 identified that the C-reactive protein (CRP) was the most predictive biomarker of acute myocardial infarction. Acute myocardial infarction was predicted by a combination of electrocardiogram and CRP levels with 80.0% sensitivity and 100% specificity.…”

Section: Diagnosis Of Systematic Diseases By Salivamentioning

confidence: 99%

Saliva in the diagnosis of diseases

et al. 2016

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Saliva is secreted from the salivary glands and has multiple functions, including mouth cleaning and protection, antibacterial effects and digestion. With the rapid advancement in salivaomics, saliva is well recognized as a pool of biological markers. Saliva, as a non-invasive and safe source, could be a substitute for blood in the diagnosis and prognosis of diseases. This review summarizes the latest advancements in saliva-related studies and addresses the potential value of saliva in the early diagnosis of oral diseases, such as dental caries and periodontal disease, as well as cancer, diabetes and other systemic disorders. Saliva biomarkers range from changes in the biochemical indices of DNA, RNA and proteins to the diversification of microbiota structures. This study integrates data reported in the recent literature and discusses the clinical significance and prospects for the application of saliva in the early diagnosis of diseases, translational medicine and precision medicine.

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“…Inclusion/exclusion criteria for participating in the study: must be smokers, able to complete a questionnaire and sign a consent form, have a minimum of 20 teeth, willing to have blood drawn, whole saliva collected and have a full periodontal evaluation. The clinical evaluation of the periodontium included mean probing pocket depth (PPD), clinical attachment level and bleeding on probing (BOP) as we have described previously , Ebersole et al 2009, Miller et al 2014. Measures of BOP and PPD were used to categorize the patients: mean PPD ≤2.5 mm for non-periodontitis (i.e.…”

Section: Patient Population and Clinical Parametersmentioning

confidence: 99%

Integrated biomarker profiling of smokers with periodontitis

Nagarajan

Al‐Sabbagh

Dawson

et al. 2017

J Clinic Periodontology

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In the context of precision medicine, understanding patient-specific variation is an important step in developing targeted and patient-tailored treatment regimens for periodontitis. While several studies have successfully demonstrated the usefulness of molecular expression profiling in conjunction with single classifier systems in discerning distinct disease groups, the majority of these studies do not provide sufficient insights into potential variations within the disease groups. Aim The goal of the present study is to discern biological response profiles of periodontitis and non-periodontitis smoking subjects using an informed panel of biomarkers across multiple scales (salivary, oral microbiome, pathogens and other markers). Materials and Methods The investigation uses a novel ensemble classification approach (SVA-SVM) to differentiate disease groups and patient-specific biological variation of systemic inflammatory mediators and IgG antibody to oral commensal and pathogenic bacteria within the groups. Results Sensitivity of SVA-SVM is shown to be considerably higher than several traditional independent classifier systems. Patient-specific networks generated from SVA-SVM are also shown to reveal cross-talk between biomarkers in discerning the disease groups. High-confidence classifiers in these network abstractions comprised of host responses to microbial infection elucidated their critical role in discerning the disease groups. Conclusions Host adaptive immune responses to the oral colonization/infection contribute significantly to creating the profiles specific for periodontitis patients with potential to assist in defining patient-specific risk profiles and tailored interventions.

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Utility of Salivary Biomarkers for Demonstrating Acute Myocardial Infarction

Cited by 61 publications

References 33 publications

Saliva and serum biomarkers in periodontitis and coronary artery disease

Saliva and serum biomarkers in periodontitis and coronary artery disease

Saliva in the diagnosis of diseases

Integrated biomarker profiling of smokers with periodontitis

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