Skip to main content

REVIEW article

Front. Oral. Health, 10 June 2022
Sec. Oral Infections and Microbes
This article is part of the Research Topic Proceedings of the 2nd International Conference on Oral Mucosal Immunity and Microbiome View all 5 articles

aMMP-8 Oral Fluid PoC Test in Relation to Oral and Systemic Diseases

  • 1Department of Oral and Maxillofacial Diseases, Head and Neck Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
  • 2Section of Oral Health and Periodontology, Division of Oral Diseases, Department of Dental Medicine, Karolinska Institutet, Solna, Sweden
  • 3Department of Preventive and Community Dentistry, Obafemi Awolowo University, Ile-Ife, Nigeria
  • 4Department of Preventive Dentistry, Periodontology and Implant Biology, Dental School, Aristotle University of Thessaloniki, Thessaloniki, Greece
  • 5424 General Army Hospital, Thessaloniki, Greece
  • 6Department of Preventive Dentistry, Faculty of Dental Sciences, College of Medicine, University of Lagos, Lagos, Nigeria
  • 7Oral and Dental Health Department, Altinbaş University, Istanbul, Turkey
  • 8Oral Health Sciences Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, India
  • 9Department of Internal Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India
  • 10Department of Periodontology, Faculty of Dentistry, Ege University, Izmir, Turkey

The manuscript uses the previously published literature and highlights the benefits of active-matrix metalloproteinase (aMMP)-8 chairside/point-of-care (PoC) diagnostic tools as adjunctive measures in oral and systemic diseases. Previous studies suggest that as a biomarker, aMMP-8 is more precise than total MMP-8, MMP-9, MMP-2, MMP-3, MMP-13, MMP-7, MMP-1, calprotectin, myeloperoxidase (MPO), human neutrophil elastase (HNE), tissue inhibitor of matrix metalloproteinase (TIMP)-1, and bleeding of probing (BOP). Therefore, aMMP-8 could be implemented as the needed key biomarker for the new disease classification for both periodontitis and peri-implantitis. With a sensitivity to the tune of 75–85% and specificity in the range of 80–90%, lateral flow aMMP-8 PoC testing is comparable to catalytic protease activity assays for aMMP-8. The test can be further applied to estimate the glycemic status of an individual, to ascertain whether a person is at risk for COVID-19, in managing the oral side effects of radiotherapy carried in head and neck cancers, and in selected cases pertaining to reproductive health. In the future, aMMP-8 could find application as a potential systemic biomarker in diseases affecting the cardiovascular system, cancers, bacteremia, sepsis, diabetes, obesity, meningitis, as well as pancreatitis. The aMMP-8 PoCT is the first practical test in the emerging new dental clinical field, that is, oral clinical chemistry representing oral medicine, clinical chemistry, peri-implantology, and periodontology.

Introduction

Matrix metalloproteinase-8 (MMP-8), collagenase-2, or neutrophil collagenase, identified in 1968 in human neutrophils and gingiva, were cloned from neutrophils from a granulocytic leukemia patient [1]. Its degranulation and expression can be induced by various microbial virulence factors, proinflammatory cytokines, such as interleukins and tumor necrosis factor-α, and CD40-ligand [2]. Glycosylation increases the size of mature MMP-8 from 60–70 kDa to 75 kDa. Autoproteolytic degradation and fragmentation related to zymogen activation yielding 50 kDa active form or species and 20–40 kDa fragments have been described [1, 2]. Latent proMMP-8 can be activated by MMP-3, MMP-10, MMP-7, trypsins, serine proteases, and microbial proteases as well as by oxygen-derived free radicals [39]. MMP-8 is expressed at the myelocyte phase during neutrophil development in the bone marrow, and stored and prepacted as latent MMP-8 in subcellular neutrophil-specific granules to be the degranulated and released extracellularly at the sites of inflammation in gingiva during periodontitis and peri-implantitis [10, 11].

aMMP-8 Oral Fluid PoC Test in Relation to Oral Diseases

In periodontitis and peri-implantitis, MMP-8 is regulated as inductive neutrophil degranulating stimuli and zymogen activation and subsequently inhibited rather than translationally by the de-novo expression [10, 11]. It is inhibited endogenously by tissue inhibitors of matrix metalloproteinases (TIMPs) or pharmacologically by doxycycline and chlorhexidine [1016]. MMP-8 cleaves not only type I–III collagens and various extracellular matrix (ECM) proteins but also non-matrix bioactive molecules such as serpins, bradykinin, angiotensin I, fibrinogen, insulin-receptor, and pro- and anti-inflammatory cyto- and chemokines involved to regulate immune and endocrinological processes [2, 10, 17]. MMP-8 is the most prevalent collagenolytic protease in the diseased periodontium and peri-implantium [2, 1820]. Active MMP-8 (aMMP-8) is the major mediator of periodontitis and peri-implantitis tissue destruction [2, 6, 8, 10, 18]. The reduction of MMP-8 was shown to reduce periodontitis and peri-implantitis [2, 6, 8, 10, 18, 21].

To manage the periodontal and peri-implantological diagnostic challenges, dentists and periodontists are recommended to acquire the shift from the classical clinical, radiographic, and timely microbiological measurements to periodontal, peri-implant, tissue destruction proinflammatory biomarkers, and oral fluid metabolomics, as part of a new clinical field in oral medicine, that is, oral clinical chemistry [22]. The recent innovations of oral fluid [gingival crevicular fluid (GCF), peri-implant sulcular fluid (PISF), saliva, and mouthrinse], chairside, bedside, and point-of-care diagnostic (PoCT) technologies and kits enable this to be more versatile and practical in everyday work on the tissue destructive periodontal and peri-implant diseases [19, 23]. In this regard, the neutrophil collagenase, MMP-8, or collagenase-2, and especially active/activated and fragmented forms or species (aMMP-8 species) [2, 10, 24] are promising point-of-care test biomarker candidates or technologies [25].

The Sensitivity and Specificity of aMMP-8 (Neutrophil Collagenase-2) Point-of-Care Oral Fluid Tests (PoCT)

The recently published studies have well-documented novel aMMP-8 chairside tests to be valid, reliable, reproducible, sensitive, and specific [2, 15, 20, 21, 2629]. The results of these studies have established oral fluid aMMP-8 PoCT-test technology as a valid tool for addressing periodontal health and disease in both Caucasian adolescents and adults of Nigerian, Turkish, Indian, Chinese, Chilean, American, Greek, Malian, Italian, Finnish, and Swedish origin [15, 19, 21, 22, 25, 2736]. The overall sensitivity and specificity of oral fluid aMMP-8 PoCT with a cut-off of 20 ng/mL for periodontitis and peri-implantitis in these studies have been found to be 76–90% and 85–96% depending on the definition of periodontal/peri-implant disease and health [19, 21, 33]. The technology was found to be highly valid when using mouthrinse, with the ability to detect poor oral hygiene with a sensitivity of 96%, bleeding on probing (BOP) from two sites with a sensitivity of 82.6%, and deep periodontal pockets in two or more areas of chronic periodontitis with a sensitivity of 95% [30]. Among adolescents, the aMMP-8 mouthrinse PoC test detected deep periodontal pockets (three sites or more) with a sensitivity of 76.5% and from the healthy controls (no deep periodontal pockets) with a specificity of 100% [33]. Using GCF, the aMMP-8 PoC test had a sensitivity of 83.9 % (Stage III and IV periodontitis and gingivitis) and specificity of 79.2 % (healthy controls) [23]. Furthermore, the aMMP-8 mouthrinse PoC test correlated well with patients' treatment needs (community periodontal index of treatment needs, CPITN) among both adults and adolescents [37]. One study used a cut-off of 10 ng/mL and presented a sensitivity of 33.2% and specificity of 93% for periodontitis; however, the same study also observed 89.7% sensitivity and 73.6% specificity for stage IV periodontitis when the aMMP-8 concentrations were adjusted by the number of teeth [36]. Thus, the aMMP-8 PoCT, but not total MMP-8 [24, 28, 32] analysis, is a convenient and practical adjunctive diagnostic tool to monitor the diagnosis treatment and medication as well as maintenance of both periodontitis and peri-implantitis [21, 25]. Periodontal and peri-implantitis diagnostic studies have consistently revealed an aMMP-8 analysis to be more exact than the estimation of total MMP-8 or other biomarkers [38]. Genetic polymorphisms of matrix metalloproteinase-3 (MMP-3) and vitamin D receptor (VDR) predispose an adolescent to periodontitis [12]. Heikkinen et al. [27] found the aMMP-8 chairside test to be beneficial in the identification of such individuals. After adjusting for smoking and visible plaque, radiographic findings characteristic of initial periodontitis were found to be positively correlated with TLR4 (rs498670) and TNFSF11 (rs2277438) [39]. Representative Western immunoblot shows the molecular forms and species MMP-8 detected in human oral fluid/mouthrinse samples by both polyclonal and monoclonal anti-MMP-8 antibodies (Figure 1); upon activation, latent proMMP-8 is converted to lower molecular size active forms/species and fragmented species that can be detected especially in the oral fluids/mouthrinse of the periodontitis and peri-implantitis patients [2, 6, 10, 13, 17, 19].

FIGURE 1
www.frontiersin.org

Figure 1. Representative Western immunoblot for molecular forms and species of MMP-8/collagenase-2 in human mouthrinse samples. Lane 1: recombinant human MMP-8, polyclonal antibody; lane 2: recombinant human MMP-8 activated by 200 μM NaOCl, polyclonal antibody; lane 3: periodontitis mouthrinse before treatment with polyclonal anti-MMP-8; lane 4: periodontitis mouthrinse after treatment with polyclonal anti-MMP-8; lane 5: periodontitis mouthrinse before treatment with monoclonal anti-MMP-8; lane 6: periodontitis mouthrinse after treatment with monoclonal anti-MMP-8. The p- and aMMP-8 (PMN and Mes) indicate neutrophil pro (p) and active (a) (PMN)- and fibroblast-type (Mes), MMP-8, respectively, and fragments indicate lower (<50 kDa) size MMP-8 species. Molecular weight markers are indicated on the left side.

aMMP-8 Oral Fluid PoC Test in Relation to Systemic Diseases

This novel aMMP-8 chairside test also finds applicability in establishing the relationships between oral, general, and systemic health parameters, and aMMP-8 oral fluid PoCT has also been investigated namely, reproductive health parameters [4042], diabetes [43, 44], COVID-19-infection [45, 46], and head and neck cancers' radiotherapy and its oral destructive immunodystrophic side effects [47]. Umeizudike and associates recently highlighted the potential usefulness of the aMMP-8 biomarker PoCT as a bridge between oral/periodontal and systemic diseases [48].

Periodontal, Reproductive, and Sexual Health and Concurrent aMMP-8 Levels

A potential link between periodontal health and systemic health including that of the reproductive system has existed for a long time. Although the Focal infection theory [49, 50], Focal allergy theory (Berger), and Focal toxicosis theory (Slauk) of the 1940's initially failed to gain acceptance [40], they were later conceptually reassessed by Linossier et al. [51]. The isolation of a sperm immobilizing factor from necrotic dental pulp Escherichia coli probably eventually sparked this renewed interest, but the investigators were neither dentists nor periodontologists, instead gynecologists [52]. Nevertheless, all this evidence remained uninvestigated for the next two decades [41].

In 1986, Bieniek and Riedel [52] addressed antibiotic-resistant bacteriospermia among patients with chronic periodontitis. No work was carried out on the relationship between fertility and oral health for over a decade till Offenbacher et al. [53] reported their findings on the association between chronic periodontitis and preterm birth. After this, a possible link between endometriosis and chronic periodontitis was reported by Kavoussi et al. [54]. Their work was followed up by studies suggesting a potential link between chronic periodontitis and sperm sub-motility [40, 41, 55]. In addition, Oguz et al. [56] and Eltas et al. [57] demonstrated an association between chronic periodontitis and erectile dysfunction as well as the beneficial effect of periodontal treatment. Furthermore, Hart reported a link between periodontitis and time to conception [58].

Although the exact relationship between periodontitis and reduced libido is still unclear, a plausible role of arginine has been reported, with this nitrous oxide precursor significantly influencing libido in both genders [59, 60]. Erectile dysfunction is characterized by the inability to attain or maintain a penile erection satisfactory for sexual intercourse. Arginine is essential for the achievement and maintenance of penile erection [61, 62]. Hence, any enhancement in the activity of the arginase enzyme could critically affect the male sexual arousal pathway [6163]. Porphyromonas gingivalis induced enhanced arginase activity and hence could negatively affect the male libido [61, 62]. Higher levels of salivary arginase have been reported in chronic periodontitis patients, with a reduction in levels following periodontal therapy [64]. The arginine-P. gingivalis axis eventually can hence explain, at least partially, the link between chronic periodontitis and erectile dysfunction [65].

Endothelial dysfunction and injury caused by pro-inflammatory mediators of chronic periodontitis such as tumor necrosis factor-α (TNF-α), interleukin (IL)-1, and IL-6 could also affect the vasculogenic pathway resulting in erectile dysfunction [6669]. These proposed mechanisms are still being investigated.

Lipid peroxidation with reduced total antioxidant capacity was found to be linked to low sperm count by Colagar and associates [70]. Camejo et al. reported raised IL-6 levels to be positively associated with lipid peroxidation, further supporting the possible chronic periodontitis-reduced sperm count link [71]. However, it is not clear whether elevated aMMP-8 levels in oral fluids could explain these problems. Nwhator et al. demonstrated reduced sperm counts to be significantly associated with the oral hygiene of an individual, though no such association was found between sperm count and chronic periodontitis [41]. However, it remains to be determined whether changes in male sexual potency are reflected in eventual changes in oral fluid aMMP-8 levels [72]. Further studies addressing oral fluid aMMP-8 point-of-care tests (PoCT) in relation to reproductive and sexual parameters are warranted.

Periodontal Health, Conception, and Concurrent aMMP-8 Levels

Associations between endometriosis [54], pelvic inflammatory disease [73], and increased time to conception were first identified by Hart et al. [58] and later confirmed by Nwhator et al. [74]. Periodontitis has the potential to influence pregnancy outcomes in two ways: first, by releasing chronic pro-inflammatory mediators, or second by allowing periodontal pathogens direct access to the fetal circulation and amniotic fluid [75]. Fusobacterium nucleatum is a dysbiotic adhesive periodontopathogen that enhances the colonization of other dysbiotic periodontitis-associated bacteria [75, 76] and can transform into an “overt pathogen” by translocating to extraoral sites [77].

F. nucleatum was identified in the subgingival biofilm of a stillborn infant, whose mother had pregnancy-associated gingivitis [78]. This suggests evidence for the direct hematogenous dissemination of F. nucleatum. Experimental models have shown that F. nucleatum can traverse the endothelium and colonize the fetal-placental compartment via E-cadherin-binding FadA adhesin and TLR4-dependent necroinflammatory reactions [79].

In addition, P. gingivalis, the most important and key proteolytic dysbiotic periodontopathogen, can induce fetal loss through the production of cardiolipin-specific antibodies and the ability of gingipains to activate proMMP cascades including proMMP-8 and−9 [80, 81], whereas treatment with gingipain proteinase inhibitors prevented fetal death and preterm birth caused by P. gingivalis infection—eventually preventing at least partially proMMP [81].

The potential racial differences in the inflammatory cytokine levels and the prevalence of pre-term birth also attract attention. Anum et al. [82] suggested that proinflammatory cytokine genes and their receptors are associated with matrix metabolism, as the elevated cytokine levels increase the expression of the inductive and tissue destructive MMPs. Nonetheless, they were unable to determine the role of genetic variants in preterm birth between various populations [83].

The effects of cytokines, such as IL-6 and IL-10 in the pathogenesis of bone resorption in periodontitis, are influenced by their levels and interactions [84, 85]. Proinflammatory cytokines IL-1β, IL-6, and TNF-α are present in osteoclast precursor cells and mature osteoclasts, and it mediates bone resorption in periodontitis [85]. Without an imbalance of a relatively low level of the potent anti-inflammatory IL-10, elevated IL-6 levels alone may not account for the periodontal tissue damage [85]. Paalani et al. reported higher IL-6 levels among blacks than whites, but their study found no racial differences in TNF-, C-reactive protein, or IL-10 [84, 85]. Their findings can explain, at least in part, the observed elevated aMMP-8 levels in 84% of Nigerian black pregnant women assessed with a novel aMMP-8 PoCT/chairside qualitative test [42]. Nwhator et al. [42] pointed that the raised aMMP-8 levels may, at least in part, explain the differential preponderant preterm births in black women. This is supported by the reported effect of MMP-8 on the preterm premature rupture of membranes, intra-amniotic inflammation, and risk of an adverse pregnancy outcome [86]. Active MMP-8 in amniotic fluid is a powerful predictor of spontaneous preterm delivery [87], and an aMMP-8 assessment can have significant implications for preterm birth. The findings of Nwhator et al. [42] suggest that more research is needed to fully ascertain the potential racial disparities in preterm birth.

The underlying mechanisms between time to conception and chronic periodontitis have not been fully clarified [42, 58]. Although a direct relationship has been established between higher levels of tissue inhibitor of metalloproteinase (TIMP)-1 and successful fertilization-embryo transfer (IVF-ET) conception [83], further investigations are warranted to ascertain the implications of increased aMMP-8 levels.

To further investigate the link between reproductive health parameters and periodontitis, a novel aMMP-8 PoCT/chairside test was used to ascertain clinical conditions among men and women in Nigeria [30, 42]. Oral hygiene was shown to be significantly correlated with increased waiting time among non-pregnant black women attending Nigerian fertility clinics [42], and this merits further research.

aMMP-8 Chairside PoCT Test in Respect to the Specific Periodontal Health Parameters in Pregnant Women

The widespread elevation of aMMP-8 in pregnant Nigerian black women, affecting over 90% of them, regardless of demographics, educational level, or trimester, was an unexpected finding [42]. Using a novel qualitative aMMP-8 PoCT chairside test, the researchers explored the probable link between chronic periodontitis and increased time to conception in 58 non-pregnant fertility clinic attendees trying for pregnancy and 70 pregnant controls. Periodontitis (i.e., visual aMMP-8 positivity > 20 ng/mL), as shown by the novel aMMP-8 chairside test, was positively linked with increased time to conception in their study [74].

The authors had earlier addressed the effects of chronic periodontitis on seminal fluid parameters using a novel aMMP-8 chairside test and reported a significant association between subnormal sperm count and poor oral hygiene across all age groups [41]. The sensitivity of the aMMP-8 test kit from the Nigerian study was 95% for periodontitis, 96% for poor oral hygiene, and 82.6% for bleeding on gentle probing [10]. All stated sensitivity values of the aMMP-8 test kit were for two sites with periodontal pockets or bleeding on gentle probing among adults corresponding well to previous studies [41, 55].

The authors earlier investigated the effects of chronic periodontitis on seminal fluid parameters using the new aMMP-8 chairside test and found a significant correlation between low sperm count and poor oral hygiene across all age groups [41]. According to the Nigerian study, the aMMP-8 test kit had a sensitivity of 95% for periodontitis, 96% for poor oral hygiene, and 82.6% for bleeding on gentle probing [10]. The aMMP-8 test kit's reported sensitivity values were for two sites with periodontal pockets or bleeding on gentle probing in adults, comparable to previous studies [41, 55]. As stated earlier, the use of the aMMP-8 PoCT/chairside test kit demonstrated increased aMMP-8 levels in 87% of pregnant Nigerian women [42]. This novel aMMP-8 chairside test kit also facilitated the detection of chronic periodontitis in association with a longer time to conception, and a link between low sperm count and poor dental hygiene [41]. Future research could be designed to expand on these findings.

aMMP-8 as Part of a Screening Strategy for Prediabetes/Diabetes at the Dental Clinic

Type 2 diabetes mellitus (DMT2) has become a pandemic on a global scale, resulting in major morbidity, mortality, and financial implications for healthcare systems [88]. Yet, type 2 diabetes is often undiagnosed, since it is asymptomatic at the earliest stages of the disease. Prediabetes, defined as hyperglycemia, that is less than but close to the pathologic threshold [glycated hemoglobin A1c (HbA1c) 5.7–6.4%, and/or fasting plasma glucose (FPG) 100–125 mg/dL], almost always precedes type 2 diabetes but lifestyle interventions are effective in preventing its progression to diabetes [89, 90].

Given these facts, screening for these conditions, early detection, and intervention, particularly at the prediabetes stage, are critical for both patients and healthcare systems. Numerous studies have already explored the effectiveness of diabetes screening in dental clinics, applying various methods of patient selection and detection for hyperglycemia, and in this regard, a recent meta-analysis highlighted the need for additional research [91]. Furthermore, periodontitis is known to upregulate pro-inflammatory mediators such as tissue destructive matrix metalloproteinases (MMPs) in inflamed gingiva and oral fluids [9294]. Among MMP members, MMP-8 and MMP-9 were found to be elevated in the blood of patients with type 2 diabetes and metabolic syndrome [95, 96], and higher concentrations of MMP-8 and−9 have been reported in the gingival tissues and oral fluids of diabetic patients with periodontitis [97]. Thus, MMP-8 could serve as a link between these two pathological conditions.

In a study in Greece, among 150 participants attending periodontal clinics, a chairside point-of-care (PoC) clinical strategy was applied to identify undiagnosed hyperglycemia [43, 97]. These patients were selected from a group of 731 participants who were at a high risk of developing diabetes mellitus (score > 9) according to the CDC-recommended self-assessed questionnaire (“Centres for Disease Control and Prevention, USA. Prediabetes Screening Test. National Diabetes Prevention Programme. Available at https://www.cdc.gov/diabetes/prevention/pdf/prediabetestest.pdf”).

Full-mouth clinical parameters of periodontal disease were recorded as part of a dataset including age, gender, smoking, education, and Body Mass Index (BMI). Chairside assessments included the determination of HbA1c levels with the Cobas® b101 (Roche Diagnostics, Hoffmann La Roche, Mannheim, Germany) in vitro diagnostic test system and quantitation of aMMP-8 by the chairside/Point-of-Care (PoC) PerioSafe® immunotest combined with the digital reader ORALyzer® according to the manufacturer's instructions. Thirty-one patients out of the 150 tested were found to have unknown hyperglycemia (20.7%). No differences were observed in sex, education, a parent with diabetes, normal BMI, smoking, age ≥ 45 years, or prior diabetes testing between patients with HbA1c <5.7 and ≥ 5.7%, although subgroups differed in terms of BMI (kg/m2), tooth count, and percentages of 4 and 5 mm pockets. The diagnostic performance for HbA1c ≥ 5.7 was evaluated by receiver operator characteristic (ROC) curves and areas under the curve (AUC) for the following: age ≥ 45 years and BMI (AUC 0.651, p = 0.010); age ≥ 45years, BMI, and aMMP-8 (AUC 0.660, p = 0.006); age ≥ 45 years, BMI, and stage of periodontitis (AUC 0.711, p < 0.001); and age ≥ 45 years, BMI, aMMP-8, and stage of periodontitis (AUC 0.713, p < 0.001). The aMMP-8 biomarker was found to be the most optimal for chairside point-of-care online and real-time quantitative diagnostics for both diabetes and periodontitis at the dentist's office, outperforming other biomarkers such as total MMP-8, active and total MMP-9, TIMP-1, myeloperoxidase (MPO), human neutrophil elastase (HNE), and calprotectin [98].

According to the findings and consistent with the literature, participants with HbA1c > 5.7 exhibited statistically significant differences in terms of periodontal disease clinical parameters, which underscores the contribution of hyperglycemia to periodontal tissue inflammation. This fact was also demonstrated when the periodontitis stage according to the 2018 classification [99] was integrated into the Receiver Operator Curves for diagnosing hyperglycemia (HbA1c ≥ 5.7%) either in combination with age ≥ 45 years and BMI or in combination with the above and aMMP-8 values (ORALyzer®). Therefore, increasing stage and grade of periodontitis, increasing age, and splanchnic obesity, as well as elevated aMMP-8 levels in mouthrinse, appear to be important factors for a dentist to encourage their patients to screen for diabetes. In the case of the aMMP-8 PoCT test, its application in the dental office, especially for periodontitis patients, can strengthen a dentist's reason for a patient to be further evaluated by a physician and receive recommended instructions/treatment, while HbA1c assessment is not yet easily feasible in a dental practice.

Furthermore, the incorporation of validated biomarkers will improve the diagnostic accuracy and assessment of the stage and grade of the new periodontitis classification system by Tonetti et al. [100] and recent data indicate that the aMMP-8 mouthrinse test can provide this capability in periodontitis as well as peri-implantitis [21, 25, 28, 101, 102]. With this background, we now present a modified new classification table with aMMP-8 implemented as the needed biomarker for periodontitis and peri-implantitis (Table 1). This fact is supported by the present data, as the subgroup of participants with aMMP-8 levels above 20 ng/mL demonstrated statistically significant differences in clinical parameters of periodontal and peri-implant diseases when compared to subjects with PerioSafe®- and ImplantSafe® ORALyzer® aMMP-8 values below this threshold. The aMMP-8 PoCT-test values < 20 ng/mL can be regarded as biomarkers of periodontal and peri-implant health [21, 25, 28, 101, 102].

TABLE 1
www.frontiersin.org

Table 1. Periodontitisgrading classification with aMMP-8 implemented as the biomarker (Tonetti et al. [100] table modified by Sorsa et al. [25]*).

Taken collectively, these findings suggest that when chairside methods of HbA1c assessment are unavailable, the combination of periodontitis, increasing age, BMI, and aMMP-8 appears to be a viable screening strategy for correctly referring dental patients to their physicians for further prediabetes/diabetes testing.

aMMP-8 as an Integral Part of Perio-COVID-19 Connection

As logic would dictate, the understanding of the COVID-19 pandemic has been based on a sound basis of already existing literature on viral infections and the immune response these entail to devise management strategies. Translating this into the perspective of periodontal disease, which happens to be researched and understood exhaustively both in terms of its pathophysiology and management, it became evident that several commonalities existed between the COVID-19 disease process and that of periodontal disease.

The most imperative and glaring of these commonalities seems to be that which relates to the cytokine elevation profile. As both these disease processes have as their underlying mechanism an exaggeration of the host immune response, it would seem appropriate to draw a connection between the elevated cytokine profiles, which both COVID-19 and periodontal disease would seem to exhibit. The cytokine profile demonstrated in COVID-19 has been touted to be responsible for its symptomatic presentation. Such a cytokine response, termed “cytokine storm,” presents as an elevation of IL-7, IL-1β, IL-17, IL-2, IL-9, IL-8, G-CSF, GM-CSF, TNF α, IFN-γ, MIP1B, MIP1A, IP10, and MCP1. Patients with a further exaggeration in host cytokine response have been observed to require ICU admission more often [103]. The Th17 variety of inflammatory responses as observed in cases of infections caused by SARS-CoV and MERS-CoV have been equated to those observed in COVID-19 patients with adverse presentations such as pulmonary tissue damage and lung edema. The inflammatory pathway of periodontal disease distinctly overlaps the one observed in COVID-19, which points toward a high degree of suspicion of these disease processes being closely related. This would not only imply the effect periodontal disease would have on the presentation of COVID-19 but would also aid to form a basis for emphasizing greater importance on the maintenance of oral hygiene as well.

Another pertinent pathophysiological mechanistic overlap between periodontal disease and COVID-19 relates to NETosis which involves the generation of decondensed chromatin in a web-like fashion which eventually primes neutrophils to eliminate these, leading to cell death [104]. This can cause damage by either acting directly or indirectly in the form of bystander damage, which is so often associated with periodontal disease as a means of causing tissue damage. Both COVID-19 and periodontal disease have been observed to demonstrate the impaired removal of these NETs which end up causing a constant stream of harm to the region in which they populate [104].

Establishing a strong basis in literature to make the case for the possibility of a relationship between periodontal disease and COVID-19, an investigation into the recovery of the SARS CoV-2 in the vicinity of the periodontal apparatus assumes significant value. The gingival crevicular fluid (GCF) has been repeatedly demonstrated to be representative of the serum status of patients in numerous studies pertaining to several pathophysiological processes. The GCF of patients suffering from SARS CoV-2 has been demonstrated to harbor the SARS CoV-2 RNA which incidentally forms the basis of nasopharyngeal swab sampling, which is widely regarded as the gold standard [105]. The sensitivity for GCF to demonstrate SARS CoV-2 RNA was observed to be 63.64% (CI = 45.1–79.60%) and was 64.52% for saliva (CI = 45.37–80.77%) [105]. This emphasizes a significant level of comparability between saliva and GCF in terms of both harboring the SARS CoV-2 RNA and consequentially, as a sampling methodology as well. Saliva samples inherently involve the presence of GCF, which begs attention to the degree to which periodontal disease may influence sampling results, and indeed the COVID-19 disease process as well [106].

GCF sampling and nasopharyngeal sampling tend to be tedious in certain cases while being altogether unamenable in patients with reduced or non-existent mouth opening such as those suffering from trismus due to a variety of causes, TMJ ankylosis, severely deviated nasal septums, exaggerated gag reflex, and anatomically exaggerated nasal spurs. To this end, buccal swabs have been espoused and demonstrated to be a viable option to the gold standard of nasopharyngeal swab sampling with the former demonstrating a sensitivity of 58.9% compared to 62.90% exhibited by saliva sampling [107].

The fact that the SARS CoV-2 has been isolated from every perceivable oral entity, such as saliva, GCF, plaque, and calculus, has aided in exploring alternative sampling methodologies. The toothbrush forms one such modality wherein SARS CoV-2 RNA was detected with a sensitivity of 60% which is comparable to the values reported for GCF (63.64%), saliva (64.52%), and buccal swabs (58.9%) [108]. Sampling by this means is economical, painless, and amenable to self-collection as well.

The seemingly inseparable relationship between the oral cavity and COVID-19 becomes further manifested in the light of the proven clinical association between the presence of periodontal disease and the occurrence of adverse COVID-19-related outcomes [109112]. It has been observed that increased severity of periodontal disease led to a commensurate increase in the necessitation of ventilation (odds ratio 7.45), an odds ratio of 14.58 of succumbing to the disease, an odds ratio of 36.52 for admission to a hospital, and that of 4.42 of suffering from pneumonia-related to COVID-19 [109]. Correlating the cytokine profile of the two disease processes, one could argue that aMMP-8, an established biomarker for the detection of early stages of periodontal disease was also found to be raised in COVID-19 patients, may be utilized to detect at-risk patients [110]. The availability of chairside/bedside tests of both the mouthrinse and site-specific variant of the aMMP-8 kit make this an ideal diagnostic modality for its purpose. When applied to a patient cohort suffering from COVID-19 and related to the presence or absence of periodontal disease, the mouthrinse variant of the aMMP-8 kit was observed to demonstrate a slightly greater sensitivity but a lower specificity when compared to the site-specific version [109, 110]. The values rose further when adjusted for gender, age, and smoking status. This provides the basis for these kits being purposed as screening tools to detect the presence of periodontal disease in patients afflicted with COVID-19, the relevance of which has already been established with some credence.

With periodontal disease being increasingly recognized as an active player in the pathophysiology of several systemic diseases, there is sufficient evidence in the literature to implicate its role in the pathophysiology of COVID-19 as well. From data reported for periodontal disease and associated COVID-19-related adverse outcomes, it is evident that mortality in these patients was determined to a significant extent by the presence of periodontal disease [109, 110].

Not only this but patients suffering from periodontal disease have been observed to demonstrate longer periods of illness when afflicted by COVID-19 as was commensurate with the severity of the periodontal disease. Patients in a state of periodontal health demonstrated an average of 4.15 days of being affected by COVID-19, 5.76 days with gingivitis, and 7.37 days with periodontitis, [112]. This further emphasizes the importance of oral health in COVID-19-related outcomes as periodontal diseases seemingly affect every conceivable pathophysiological manifestation of COVID-19.

Link Between aMMP-8 Levels and the Periodontal Tissue Destruction During Radiotherapy of Head and Neck Cancer Patients

Head and neck cancer (HNC) was globally the seventh most common cancer in 2018 with 890,000 new cases and nearly 450,000 deaths [113]. However, the survival among HNC patients has improved over the years thanks to the improved treatment modalities that are used for eliminating malignant tumor cells [114]. For most HNC patients, the standard treatment modality is radiotherapy either alone or together with other treatment options [114, 115]. Unfortunately, radiotherapy has several negative side effects, including those on the periodontium and the oral immune fitness, which increases the risk of progression of attachment loss and initiation and activation of periodontitis for these patients [47, 116118]. Management of the oral health of HNC patients having radiotherapy treatment is therefore imperative. Particularly new diagnostic methods that are available for the early detection of tissue destruction and immune dysregulation of the periodontium during or induced by the radiotherapy may play a key role in the adjunctive screening of patients at risk.

A recent pilot study by our study group investigated two potential periodontal biomarkers, aMMP-8 and IL-6, in oral fluids (mouthrinse) of 11 HNC patients to identify and diagnose the negative side effects of radiotherapy on the periodontium [47]. We found that the radiotherapy treatment of patients was followed by a rapid progression of periodontitis measured by the clinical attachment loss (CAL), while the aMMP-8 levels measured by a point-of-care technology (PoCT) were significantly elevated after 6 weeks of radiotherapy and some HNC patients had elevated aMMP-8 levels even after 1 month at the end of the radiotherapy [47]. This suggests that aMMP-8 levels in mouthrinse can be a useful biomarker and chair/bedside test for quantitative online and real-time detection of the prolonged negative effect of HNC radiotherapy on the periodontium and the risk of further periodontal tissue destruction. Moreover, Figure 2 represents the repeated measures correlation between mouthrinse/oral fluid aMMP-8 levels and probing depth (PD) in both maxilla and mandible in the same Turkish cohort as in the study by Keskin et al. [47]. There was a significant positive repeated measures correlation in maxilla and mandible (rmcorr = 0.671, p = 0.024 and rmcorr = 0.790, p = 0.002, respectively) between aMMP-8 levels in mouthrinse and PD. In this regard, these results are in agreement with and further extend the prospective study by Lee et al. [119], which was one of the first to demonstrate a direct correlation between the progression of periodontal attachment loss (periodontal tissue destruction) and the elevation of aMMP-8 levels. Therefore, as Keskin et al. [47] stated, point-of-care/chairside oral fluid biomarker diagnostics, especially those based on aMMP-8, could benefit as an online and real-time preventive diagnostic tool for monitoring and quantitatively assessing the risk of active periodontal tissue destruction and attachment loss during HNC radiotherapy. Our findings also—for the first time—demonstrate that aMMP-8 PoCT is a quantitative online and real-time biomarker to be well-implemented in the new staging and grading classification of periodontitis in patients receiving radiotherapy for their head and neck cancer [47]. Noteworthy, aMMP-8 PoCT-technology can thus be well adapted to quantitatively real-time online and quantitatively chairside monitor and follow the outcomes of the emerging host modulating treatments [110, 120, 121]. Further studies are warranted in this area.

FIGURE 2
www.frontiersin.org

Figure 2. Repeated measures correlation (rmcorr) plot for significant positive correlation between aMMP-8 levels in mouthrinse and probing depth (PD, [mm]) in (A) mandible and (B) maxilla that were measured before radiotherapy and 1 month after the end of radiotherapy for 11 head and neck cancer patients as described in Keskin et al. [47].

Summary

Overall, aMMP-8 PoCT provides promising adjunctive quantitative diagnostic chairside/bedside technology and tool for oral as well as related systemic conditions. It can be adapted and implemented to monitor and follow the host modulation treatments and medications. Eventually, the test can be applied to the other medical fields including selected reproductive health parameters, cancers, cardiovascular diseases, diabetes, obesity, COVID-19/post-COVID-19, bacteremia, sepsis meningitis, and pancreatitis. The aMMP-8 PoCT is the first practical test in the emerging new dental clinical field, that is, oral clinical chemistry representing oral medicine, clinical chemistry, peri-implantology, periodontology, and medicine.

Author Contributions

TS, NBo, IR, NBu, DS, SG, and PP contributed to the conception and design of the study. MK, IR, TT, EB, and TS contributed to data acquisition, analysis, data figures, and interpretation. TS, SN, DS, AG, KU, TT, SG, RM, and IR wrote the first draft of the manuscript. All authors contributed to manuscript revision, read and gave final approval, and agree both to be personally accountable for the authors' contributions and to ensure that questions related to the accuracy or integrity of any part of the work, even ones in which the authors were not personally involved are appropriately investigated, resolved, and the resolution documented in the literature.

Funding

TS received financial support for this study from the Finnish Dental Society Apollonia, Finland; the Karolinska Institutet, Stockholm, Sweden; the Helsinki and Uusimaa Hospital District (HUS), Grant/Award Numbers: Y1014SULE1, Y1014SL018, Y1014SL017, TYH2019319, TYH2018229, TYH2017251, TYH2016251, and TYH2022225. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Conflict of Interest

TS is the inventor of U.S. patents 1,274,416, 5,652,223, 5,736,341, 5,864,632, 6,143,476 and US 2017/0023571A1 (issued June 6, 2019), WO 2018/060553 A1 (issued May 31, 2018), 10,488,415 B2, and US 2017/0023671A1, Japanese Patent 2016-554676 and South Korean Patent No. 10-2016-7025378.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Hasty KA, Pourmotabbed TF, Goldberg GI, Thompson JP, Spinella DG, Stevens RM, et al. Human neutrophil collagenase. A distinct gene product with homology to other matrix metalloproteinases. J Biol Chem. (1990) 265:11421–4. doi: 10.1016/S0021-9258(19)38413-3

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Sorsa T, Gursoy U, Nwhator S, Hernandez M, Tervahartiala T, Leppilahti J, et al. Analysis of matrix metalloproteinases, especially MMP-8, in gingival creviclular fluid, mouthrinse and saliva for monitoring periodontal diseases. Periodontol 2000. (2016) 70:142–63. doi: 10.1111/prd.12101

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Klein T, Bischoff R. Physiology and pathophysiology of matrix metalloproteases. Amino Acids. (2011) 41:271–90. doi: 10.1007/s00726-010-0689-x

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Knauper V, Osthues A, DeClerck YA, Langley KE, Blaser J, Tschesche H. Fragmentation of human polymorphonuclear-leucocyte collagenase. Biochem J. (1993) 291:847–54. doi: 10.1042/bj2910847

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Claesson R, Johansson A, Belibasakis G, Hänström L, Kalfas S. Release and activation of matrix metalloproteinase 8 from human neutrophils triggered by the leukotoxin of Actinobacillus actinomycetemcomitans. J Periodontal Res. (2002) 37:353–9. doi: 10.1034/j.1600-0765.2002.00365.x

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Sorsa T, Tjaderhane L, Salo T. Matrix metalloproteinases (MMPs) in oral diseases. Oral Dis. (2004) 10:311–8. doi: 10.1111/j.1601-0825.2004.01038.x

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Dozier S, Escobar G, Lindsey M. Matrix metalloproteinase (MMP)-7 activates MMP-8 but not MMP-13. Med Chem. (2006) 2:523–6. doi: 10.2174/157340606778250261

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Kuula H, Salo T, Pirilä E, Tuomainen AM, Jauhiainen M, Uitto VJ, et al. Local and systemic responses in matrix metalloproteinase 8-deficient mice during Porphyromonas gingivalis-induced periodontitis. Infect Immun. (2009) 77:850–9. doi: 10.1128/IAI.00873-08

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Petain S, Kasnak G, Firatli E, Tervahartiala T, Gürsoy UK, Sorsa T. Periodontitis and peri-implantitis tissue levels of Treponema denticola-CTLP and its MMP-8 activating ability. Acta Histochem. (2021) 123:151767. doi: 10.1016/j.acthis.2021.151767

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Sorsa T, Tjäderhane L, Konttinen YT, Lauhio A, Salo T, Lee HM, et al. Matrix metalloproteinases: contribution to pathogenesis, diagnosis and treatment of periodontal inflammation. Ann Med. (2006) 38:306–21. doi: 10.1080/07853890600800103

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Weiss SJ, Peppin G, Ortiz X, Ragsdale C, Test ST. Oxidative autoactivation of latent collagenase by human neutrophils. Science. (1985) 227:747–9. doi: 10.1126/science.2982211

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Visse R, Nagase H. Matrix metalloproteinases and tissue inhibitors of metalloproteinases: Structure, function, and biochemistry. Circ Res. (2003) 92:827–39. doi: 10.1161/01.RES.0000070112.80711.3D

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Sorsa T, Ding Y, Salo T, Lauhio A, Teronen O, Ingman T, et al. Effects of tetracyclines on neutrophil, gingival, and salivary collagenases. A functional and western-blot assessment with special reference to their cellular sources in periodontal diseases. Ann N Y Acad Sci. (1994) 732:112–31. doi: 10.1111/j.1749-6632.1994.tb24729.x

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Emingil G, Gürkan A, Tervahartiala T, Hernandez M, Özgül S, Sorsa T, et al. Adjunctive effects of a sub-antimicrobial dose of doxycycline on clinical parameters and potential biomarkers of periodontal tissue catabolism. Dent J. (2019) 7:9. doi: 10.3390/dj7010009

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Sorsa T, Bacigalupo J, Könönen M, Pärnänen P, Räisänen IT. Host-modulation therapy and chair-side diagnostics in the treatment of peri-implantitis. Biosensors. (2020) 10:4–10. doi: 10.3390/bios10050044

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Golub LM, Sorsa T, Lee H-M, Ciancio S, Sorbi D, Ramamurthy NS, et al. Doxycycline inhibits neutrophil (PMN)-type matrix metalloproteinases in human adult periodontitis gingiva. J Clin Periodontol. (1995) 22:100–9. doi: 10.1111/j.1600-051X.1995.tb00120.x

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Al-Majid A, Alassiri S, Rathnayake N, Tervahartiala T, Gieselmann D-R, Sorsa T. Matrix metalloproteinase-8 as an inflammatory and prevention biomarker in periodontal and peri-implant diseases. Int J Dent. (2018) 2018:7891323. doi: 10.1155/2018/7891323

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Luchian I, Goriuc A, Sandu D, Covasa M. The role of matrix metalloproteinases (MMP-8, MMP-9, MMP-13) in periodontal and peri-implant pathological processes. Int J Mol Sci. (2022) 23:1806. doi: 10.3390/ijms23031806

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Sorsa T, Gieselmann D, Arweiler N, Hernández M. A quantitative point-of-care test for periodontal and dental peri-implant diseases. Nat Rev Dis Prim. (2017) 3:17069. doi: 10.1038/nrdp.2017.69

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Guarnieri R, Zanza A, D'Angelo M, Di Nardo D, Del Giudice A, Mazzoni A, et al. Correlation between peri-implant marginal bone loss progression and peri-implant sulcular fluid levels of metalloproteinase-8. J Pers Med. (2022) 12:58. doi: 10.3390/jpm12010058

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Alassiri S, Parnanen P, Rathnayake N, Johannsen G, Heikkinen A-M, Lazzara R, et al. The ability of quantitative, specific, and sensitive point-of-care/chair-side oral fluid immunotests for aMMP-8 to detect periodontal and peri-implant diseases. Dis Markers. (2018) 2018:1306396. doi: 10.1155/2018/1306396

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Gul SS, Abdulkareem AA, Sha AM, Rawlinson A. Diagnostic accuracy of oral fluids biomarker profile to determine the current and future status of periodontal and peri-implant diseases. Diagnostics. (2020) 10:838. doi: 10.3390/diagnostics10100838

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Öztürk O, Emingil G, Umeizudike K, Tervahartiala T, Dirk-Rolf Gieselmann DR, Maier K, et al. Evaluation of active matrix metalloproteinase-8 (aMMP-8) chair-side test as a diagnostic biomarker in the staging of periodontal diseases. Arch Oral Biol. (2021) 124:104955. doi: 10.1016/j.archoralbio.2020.104955

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Sorsa T, Hernández M, Leppilahti J, Munjal S, Netuschil L, Mäntylä P. Detection of gingival crevicular fluid MMP-8 levels with different laboratory and chair-side methods. Oral Dis. (2010) 16:39–45. doi: 10.1111/j.1601-0825.2009.01603.x

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Sorsa T, Alassiri S, Grigoriadis A, Räisänen I, Pärnänen P, Nwhator S. Active MMP - 8 (aMMP - 8) as a grading and staging biomarker in the periodontitis classification. Diagnostics. (2020) 10:61. doi: 10.3390/diagnostics10020061

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Lorenz K, Keller T, Noack B, Freitag A, Netuschil L, Hoffmann T. Evaluation of a novel point-of-care test for active matrix metalloproteinase-8: agreement between qualitative and quantitative measurements and relation to periodontal inflammation. J Periodontal Res. (2017) 52:277–84. doi: 10.1111/jre.12392

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Heikkinen AM, Raivisto T, Kettunen K, Kovanen L, Haukka J, Esmaeili EP, et al. Pilot study on the genetic background of an active matrix metalloproteinase-8 test in Finnish adolescents. J Periodontol. (2017) 88:464–72. doi: 10.1902/jop.2016.160441

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Lähteenmäki H, Umeizudike KA, Heikkinen AM, Räisänen IT, Rathnayake N, Johannsen G. aMMP-8 point-of-care/chairside oral fluid technology as a rapid, non-invasive tool for periodontitis and peri-implantitis screening in a medical care setting. Diagnostics. (2020) 10:562. doi: 10.3390/diagnostics10080562

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Hernández M, Baeza M, Räisänen IT, Contreras J, Tervahartiala T, Chaparro A. Active MMP-8 quantitative test as an adjunctive tool for early diagnosis of periodontitis. Diagnostics. (2021) 11:1503. doi: 10.3390/diagnostics11081503

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Nwhator SO, Ayanbadejo PO, Umeizudike KA, Opeodu OI, Agbelusi GA, Olamijulo JA, et al. Clinical correlates of a lateral-flow immunoassay oral risk indicator. J Periodontol. (2014) 85:188–94. doi: 10.1902/jop.2013.130116

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Johnson N, Ebersole JL, Kryscio RJ, Danaher RJ, Dawson D, Al-Sabbagh M, et al. Rapid assessment of salivary MMP-8 and periodontal disease using lateral flow immunoassay. Oral Dis. (2016) 22:681–7. doi: 10.1111/odi.12521

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Leppilahti J, Harjunmaa U, Järnstedt J, Mangani C, Hernández M, Tervahartiala T, et al. Diagnosis of newly delivered mothers for periodontitis with a novel oral-rinse aMMP-8 point-of-care test in a rural malawian population. Diagnostics. (2018) 8:67. doi: 10.3390/diagnostics8030067

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Räisänen IT, Sorsa T, van der Schoor GJ, Tervahartiala T, van der Schoor P, Gieselmann DR. Active matrix metalloproteinase-8 point-of-care (PoC)/chairside mouthrinse test vs. bleeding on probing in diagnosing subclinical periodontitis in adolescents. Diagnostics. (2019) 9:34. doi: 10.3390/diagnostics9010034

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Izadi Borujeni S, Mayer M, Eickholz P. Activated matrix metalloproteinase-8 in saliva as diagnostic test for periodontal disease? A case–control study. Med Microbiol Immunol. (2015) 204:665–72. doi: 10.1007/s00430-015-0413-2

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Sorsa T, Heikkinen AM, Leppilahti J, Tervahartiala T, Nwhator S, Rathnayake N, et al. Active matrix metalloproteinase-8: contributor to periodontitis and a missing link between genetics, dentistry, and medicine. In: Bostanci N, Belibasakis GN, editors. Pathogenesis of Periodontal Diseases. 1st ed. Springer International Publishing Cham (2018). p. 51–7.

Google Scholar

36. Deng K, Pelekos G, Jin L, Tonetti M. Diagnostic accuracy of a point-of-care aMMP-8 test in the discrimination of periodontal health and disease. J Clin Periodontol. (2021) 48:1499–500. doi: 10.1111/jcpe.13485

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Räisänen IT, Heikkinen AM, Siren E. Point-of-care/chairside aMMP-8 analytics of periodontal diseases' activity and episodic progression. Diagnostics. (2018) 8:74. doi: 10.3390/diagnostics8040074

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Sorsa T, Mäntylä P, Rönkä H, Kallio P, Kallis G, Lundqvist C, et al. Scientific basis of a matrix metalloproteinase-8 specific chair-side test for monitoring periodontal and peri-implant health and disease. Ann N Y Acad Sci. (1999) 878:130–40. doi: 10.1111/j.1749-6632.1999.tb07679.x

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Heikkinen AM, Pakbaznejad Esmaeili E, Kovanen L, Ruokonen H, Kettunen K, Haukka J, et al. Periodontal initial radiological findings of genetically predisposed finnish adolescents. J Clin Diagnostic Res. (2017) 11:ZC25–8. doi: 10.7860/JCDR/2017/25850.10168

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Nwhator SO, Umeizudike KA, Samuel TA, Soroye MO, Umeizudike TI. Periodontitis and sub-fertility; opinions and practices of Nigerian specialists. West Afr J Med. (2013) 32:267–71. Available online at: https://www.researchgate.net/publication/260040680_Periodontitis_sub-fertility_opinions_and_practices_of_Nigerian_specialists (accessed May 24, 2022).

PubMed Abstract | Google Scholar

41. Nwhator SO, Umeizudike KA, Ayanbadejo PO, Opeodu OI, Olamijulo JA, Sorsa T. Another reason for impeccable oral hygiene: oral hygiene-sperm count link. J Contemp Dent Pract. (2014) 15:352–8. doi: 10.5005/jp-journals-10024-1542

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Nwhator SO., Umeizudike KA, Ayanbadejo PO, Agbelusi GA, Arowojolu M, Sorsa T, et al. Black women's predisposition to preterm birth; Could we be near the answer? Int J Torpical Dis Heal. (2014) 4:194–203. doi: 10.9734/IJTDH/2014/6669

CrossRef Full Text | Google Scholar

43. Grigoriadis A, Sorsa T, Räisänen I, Pärnänen P, Tervahartiala T, Sakellari D. Prediabetes / diabetes can be screened at the dental o ffi ce by a low-cost and fast. Diagnostics. (2019) 9:151. doi: 10.3390/diagnostics9040151

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Grigoriadis A, Räisänen IT, Tervahartiala T, Pärnänen P, Sorsa T, Sakellari D. Prediabetes/diabetes screening strategy at the periodontal clinic. Clin Exp Dent Res. (2021) 7:85–92. doi: 10.1002/cre2.338

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Räisänen IT, Umeizudike KA, Pärnänen P, Heikkilä P, Tervahartiala T, Nwhator SO . Periodontal disease and targeted prevention using aMMP-8 point-of-care oral fluid analytics in the COVID-19 era. Med Hypotheses. (2020) 144:110276. doi: 10.1016/j.mehy.2020.110276

PubMed Abstract | CrossRef Full Text | Google Scholar

46. da Silva-Neto PV, de Carvalho JCS, Pimentel VE, Pérez MM, Toro DM, Fraga-Silva TFC, et al. Strem-1 predicts disease severity and mortality in COVID-19 patients: Involvement of peripheral blood leukocytes and MMP-8 activity. Viruses. (2021) 13:1–17. doi: 10.3390/v13122521

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Keskin M ,Lähteenmäki H, Rathnayake N, Räisänen IT, Tervahartiala T, Pärnänen P . Active matrix metalloproteinase-8 and interleukin-6 detect periodontal degeneration caused by radiotherapy of head and neck cancer: a pilot study. Expert Rev Proteomics. (2020) 17:777–84. doi: 10.1080/14789450.2020.1858056

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Umeizudike K, Räisänen I, Gupta S, Nwhator S, Grigoriadis A, Sakellari D . Active matrix metalloproteinase-8: a potential biomarker of oral systemic link. Clin Exp Dent Res. (2022) 8:359–65. doi: 10.1002/cre2.516

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Hunter W. Oral sepsis as a cause of disease. Br Med J. (1900) 2:215–6. doi: 10.1136/bmj.2.2065.215

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Easlick KA. An evaluation of the effect of dental foci of infection on health. J Am Dent Assoc. (1951) 42:615–97.

PubMed Abstract | Google Scholar

51. Linossier A, Thumann A, Bustos-Obregon E. Sperm immobilization by dental focus microorganisms. Andrologia. (1982) 14:250–5. doi: 10.1111/j.1439-0272.1982.tb02254.x

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Bieniek KW, Riedel HH. Bacterial foci in the teeth, oral cavity, and jaw—secondary effects (remote action) of bacterial colonies with respect to bacteriospermia and subfertility in males. Andrologia. (1993) 25:159–62. doi: 10.1111/j.1439-0272.1993.tb02700.x

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Offenbacher S, Katz V, Fertik G, Collins J, Boyd D, Maynor G, et al. Periodontal infection as a possible risk factor for preterm low birth weight. J Periodontol. (1996) 67:S1103–13. doi: 10.1902/jop.1996.67.10s.1103

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Kavoussi SK, West BT, Taylor GW, Lebovic DI. Periodontal disease and endometriosis: analysis of the national health and nutrition examination survey. Fertil Steril. (2009) 91:335–42. doi: 10.1016/j.fertnstert.2007.12.075

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Klinger A, Hain B, Yaffe H, Schonberger O. Periodontal status of males attending an in vitro fertilization clinic. J Clin Periodontol. (2011) 38:542–6. doi: 10.1111/j.1600-051X.2011.01720.x

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Oguz F, Eltas A, Beytur A, Akdemir E, Uslu MÖ, Güneş A. Is there a relationship between chronic periodontitis and erectile dysfunction? J Sex Med. (2013) 10:838–43. doi: 10.1111/j.1743-6109.2012.02974.x

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Eltas A, Oguz F, Uslu MO, Akdemir E. The effect of periodontal treatment in improving erectile dysfunction: a randomized controlled trial. J Clin Immunol. (2013) 40:148–54. doi: 10.1111/jcpe.12039

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Hart R, Doherty DA, Pennell CE, Newnham IA, Newnham JP. Periodontal disease: a potential modifiable risk factor limiting conception. Hum Reprod. (2012) 27:1332–42. doi: 10.1093/humrep/des034

PubMed Abstract | CrossRef Full Text | Google Scholar

59. English J. Arginine Select Phytonutrients Enhance Libido. Nutrition Review. (2013). Available online at: https://nutritionreview.org/2013/04/arginine-select-phytonutrients-enhance-libido/ (accessed May 24, 2022).

Google Scholar

60. Thompson R. DHEA Supplement for Increasing Women's Libido. United States Patent Application 20030064123 (2003). Available online at: http://www.freepatentsonline.com/y2003/0064123.html (accessed May 24, 2022).

Google Scholar

61. Holden JA, Attard TJ, Laughton KM, Mansell A, O'Brien-Simpson NM, Reynolds EC. Porphyromonas gingivalis lipopolysaccharide weakly activates M1 and M2 polarized mouse macrophages but induces inflammatory cytokines. Infect Immun. (2014) 82:4190–203. doi: 10.1128/IAI.02325-14

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Lourbakos A, Potempa J, Travis J, D'Andrea MR, Santulli R, Mackie EJ, et al. Arginine-specific protease from Porphyromonas gingivalis activates protease-activated receptors on human oral epithelial cells and induces interleukin-6 secretion. Infect Immun. (2001) 69:5121–30. doi: 10.1128/IAI.69.8.5121-5130.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Kim NN, Cox JD, Baggio RF, Emig FA, Mistry SK, Harper SL, et al. Probing erectile function: S-(2-boronoethyl)-L-cysteine binds to arginase as a transition state analogue and enhances smooth muscle relaxation in human penile corpus cavernosum. Biochemistry. (2001) 40:2678–88. doi: 10.1021/bi002317h

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Gheren LW, Cortelli JR, Rodrigues E, Holzhausen M, Saad WA. Periodontal therapy reduces arginase activity in saliva of patients with chronic periodontitis. Clin Oral Investig. (2008) 12:67–72. doi: 10.1007/s00784-007-0146-8

PubMed Abstract | CrossRef Full Text | Google Scholar

65. NIH releases consensus statement on cervical cancer. Am Fam Physicia. (1996) 54:2310, 2315–6.

Google Scholar

66. Carneiro FS, Webb RC, Tostes RC. Emerging role for TNF-α in erectile dysfunction. J Sex Med. (2010) 7:3823–34. doi: 10.1111/j.1743-6109.2010.01762.x

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Perdichizzi A, Nicoletti F, La Vignera S, Barone N, D'Agata R, Vicari E, et al. Effects of tumour necrosis factor-alpha on human sperm motility and apoptosis. J Clin Immunol. (2007) 27:152–62. doi: 10.1007/s10875-007-9071-5

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Giugliano F, Esposito K, Di Palo C, Ciotola M, Giugliano G, Marfella R, et al. Erectile dysfunction associates with endothelial dysfunction and raised proinflammatory cytokine levels in obese men. J Endocrinol Invest. (2004) 27:665–9. doi: 10.1007/BF03347500

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Kulshrestha R, Chaudhuri GR, Bhattacharya K, Dutta S, Sengupta P. Periodontitis as an independent factor in pathogenesis of erectile dysfunction. Biomed Pharmacol J. (2020) 13:1–4. doi: 10.13005/bpj/1852

CrossRef Full Text | Google Scholar

70. Colagar AH, Karimi F, Jorsaraei S. Correlation of sperm parameters with semen lipid peroxidation and total antioxidants levels in astheno- and oligoasheno- teratospermic men. Iran Red Crescent Med J. (2013) 15:780–5. doi: 10.5812/ircmj.6409

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Camejo MI, Segnini A, Proverbio F. Interleukin-6 (IL-6) in seminal plasma of infertile men, and lipid peroxidation of their sperm. Arch Androl. (2001) 47:97–101. doi: 10.1080/014850101316901280

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Nwhator SO. Association Between a-MMP-8 Chairside Test for Chronic Periodontitis and Selected Reproductive Health Parameters. Thesis, University of Helsinki, Helsinki (2018).

Google Scholar

73. McKinnon A, Black AY, Lortie K, Fleming NA. A case of adolescent pelvic inflammatory disease caused by a rare bacterium: Fusobacterium nucleatum. J Pediatr Adolesc Gynecol. (2013) 26:e113–5. doi: 10.1016/j.jpag.2013.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Nwhator S, Opeodu O, Ayanbadejo P, Umeizudike K, Olamijulo J, Alade G, et al. Could periodontitis affect time to conception? Ann Med Health Sci Res. (2014) 4:817–22. doi: 10.4103/2141-9248.141567

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Hajishengallis G. Periodontitis: from microbial immune subversion to systemic inflammation. Nat Rev Immunol. (2015) 15:30–44. doi: 10.1038/nri3785

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Han YW. Fusobacterium nucleatum: a commensal-turned pathogen NIH public access. Curr Opin Microbiol. (2016) 141–7. doi: 10.1016/j.mib.2014.11.013

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Socransky SS, Haffajee AD. Periodontal microbial ecology. Periodontol 2000. (2005) 38:135–87. doi: 10.1111/j.1600-0757.2005.00107.x

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Han YW, Fardini Y, Chen C, Iacampo KG, Peraino VA, Shamonki JM, et al. Term stillbirth caused by oral Fusobacterium nucleatum. Obstet Gynecol. (2010) 115:442–5. doi: 10.1097/AOG.0b013e3181cb9955

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Liu H, Redline RW, Han YW. Fusobacterium nucleatum induces fetal death in mice via stimulation of TLR4-mediated placental inflammatory response. J Immunol. (2007) 179:2501–8. doi: 10.4049/jimmunol.179.8.5604-c

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Schenkein HA, Bradley JL, Purkall DB. Anticardiolipin in porphyromonas gingivalis antisera causes fetal loss in mice. J Dent Res. (2013) 92:814–8. doi: 10.1177/0022034513497959

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Takii R, Kadowaki T, Tsukuba T, Yamamoto K. Inhibition of gingipains prevents Porphyromonas gingivalis-induced preterm birth and fetal death in pregnant mice. Eur J Pharmacol. (2018) 824:48–56. doi: 10.1016/j.ejphar.2018.01.028

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Anum EA, Springel EH, Shriver MD, Strauss JF III. Genetic contributions to disparities in preterm birth. Pediatr Res. (2009) 65:1–9. doi: 10.1203/PDR.0b013e31818912e7

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Shibahara H, Suzuki T, Ayustawati Kikuchi K, Hirano Y, Suzuki M. Serum matrix metalloproteinase and tissue inhibitor of metalloproteinase concentrations in infertile women achieved pregnancy following IVF-ET. Am J Reprod Immunol. (2005) 54:186–92. doi: 10.1111/j.1600-0897.2005.00297.x

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Paalani M, Lee JW, Haddad E, Tonstad S. Determinants of inflammatory markers in a bi-ethnic population. Ethn Dis. (2011) 21:142–9.

PubMed Abstract | Google Scholar

85. Zhang Q, Chen B, Yan F, Guo J, Zhu X, Ma S, et al. Interleukin-10 inhibits bone resorption: a potential therapeutic strategy in periodontitis and other bone loss diseases. Biomed Res Int. (2014) 2014:284836. doi: 10.1155/2014/284836

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Moyer P. MMP-8 Test May Help Identify Which Preterm PROM Patients Have Intra-amniotic Inflammation. Medscape. (2007). Available online at: https://www.medscape.com/viewarticle/552147 (accessed May 24, 2022).

Google Scholar

87. Kim SM, Romero R, Lee J, Chaemsaithong P, Lee MW, Chaiyasit N, et al. About one-half of early spontaneous preterm deliveries can be identified by a rapid matrix metalloproteinase-8 (MMP-8) bedside test at the time of mid-trimester genetic amniocentesis. J Matern Fetal Neonatal Med. (2016) 29:2414–22. doi: 10.3109/14767058.2015.1094049

PubMed Abstract | CrossRef Full Text | Google Scholar

88. American diabetes association. 2. Classification and diagnosis of diabetes: standards of medical care in diabetes–2020. Diabetes Care. (2020) 43:S14–31. doi: 10.2337/dc20-S002

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Baker MK, Simpson K, Lloyd B, Bauman AE, Fiatarone Singh MA. Behavioral strategies in diabetes prevention programs: a systematic review of randomized controlled trials. Diabetes Res Clin Pract. (2011) 91:1–12. doi: 10.1016/j.diabres.2010.06.030

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Howells L, Musaddaq B, McKay AJ, Majeed A. Clinical impact of lifestyle interventions for the prevention of diabetes: an overview of systematic reviews. BMJ Open. (2016) 6:e013806. doi: 10.1136/bmjopen-2016-013806

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Talakey AA, Hughes FJ, Bernabé E. Can periodontal measures assist in the identification of adults with undiagnosed hyperglycemia? a systematic review. J Clin Periodontol. (2022) 49:302–12. doi: 10.1111/jcpe.13596

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Ryan ME, Ramamurthy NS, Sorsa T, Golub LM. MMP-mediated events in diabetes. Ann N Y Acad Sci. (1999) 878:311–34. doi: 10.1111/j.1749-6632.1999.tb07692.x

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Safkan-Seppälä B, Sorsa T, Tervahartiala T, Beklen A, Konttinen YT. Collagenases in gingival crevicular fluid in type 1 diabetes mellitus. J Periodontol. (2006) 77:189–94. doi: 10.1902/jop.2006.040322

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Sorsa T, Ingman T, Suomalainen K, Halinen S, Saari H, Konttinen YT, et al. Cellular source and tetracycline-inhibition of gingival crevicular fluid collagenase of patients with labile diabetes mellitus. J Clin Periodontol. (1992) 19:146–9. doi: 10.1111/j.1600-051X.1992.tb00454.x

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Collin HL, Sorsa T, Meurman JH, Niskanen L, Salo T, Rönkä H, et al. Salivary matrix metalloproteinase (MMP-8) levels and gelatinase (MMP-9) activities in patients with type 2 diabetes mellitus. J Periodontal Res. (2000) 35:259–65. doi: 10.1034/j.1600-0765.2000.035005259.x

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Gonçalves FM, Jacob-Ferreira AL, Gomes VA, Casella-Filho A, Chagas AC, Marcaccini AM, et al. Increased circulating levels of matrix metalloproteinase (MMP)-8, MMP-9, and pro-inflammatory markers in patients with metabolic syndrome. Clin Chim Acta. (2009) 403:173–7. doi: 10.1016/j.cca.2009.02.013

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Kumar MS, Vamsi G, Sripriya R, Sehgal PK. Expression of matrix metalloproteinases (MMP-8 and−9) in chronic periodontitis patients with and without diabetes mellitus. J Periodontol. (2006) 77:1803–8. doi: 10.1902/jop.2006.050293

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Räisänen IT, Lähteenmäki H, Gupta S, Grigoriadis A, Sahni V, Suojanen J . An aMMP-8 point-of-care and questionnaire based real-time diagnostic toolkit for medical practitioners. Diagnostics. (2021) 11:711. doi: 10.3390/diagnostics11040711

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Papapanou PN, Sanz M, Buduneli N, Dietrich T, Feres M, Fine DH, et al. Periodontitis: consensus report of workgroup 2 of the 2017 world workshop on the classification of periodontal and peri-implant diseases and conditions. J Periodontol. (2018) 89(Suppl. 1):S173–82. doi: 10.1002/JPER.17-0721

PubMed Abstract | CrossRef Full Text | Google Scholar

100. 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:S159–72. doi: 10.1002/JPER.18-0006

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Lähteenmäki H, Tervahartiala T, Räisänen IT ,Pärnänen P, Mauramo M, Gupta S . Active MMP-8 point-of-care (PoC)/chairside enzyme-test as an adjunctive tool for early and real-time diagnosis of peri-implantitis. Clin Exp Dent Res. (2022) 8:485–96. doi: 10.1002/cre2.537

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Gupta S, Sahni V, Räisänen IT, Grigoriadis A, Sakellari D, Gieselmann D-R . Linking oral microbial proteolysis to aMMP-8 PoC diagnostics along with the stage and grade of periodontitis: a cross-sectional study. Oral Dis. (2021). doi: 10.1111/odi.14008. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Sahni V, Gupta S. COVID-19 and periodontitis: the cytokine connection. Med Hypotheses. (2020) 144:109908. doi: 10.1016/j.mehy.2020.109908

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Gupta S, Sahni V. The intriguing commonality of NETosis between COVID-19 and Periodontal disease. Med Hypotheses. (2020) 144:109968. doi: 10.1016/j.mehy.2020.109968

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Gupta S, Mohindra R, Chauhan PK, Singla V, Goyal K, Sahni V, et al. SARS-CoV-2 detection in gingival crevicular fluid. J Dent Res. (2021) 100:187–93. doi: 10.1177/0022034520970536

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Sahni V. SARS CoV-2 load in periodontal disease. J Am Dent Assoc. (2022) 153:14. doi: 10.1016/j.adaj.2021.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Gaur R, Verma DK, Mohindra R, Goyal K, Gupta S, Singla V, et al. Buccal swabs as non-invasive specimens for detection of severe acute respiratory syndrome coronavirus-2. J Int Med Res. (2021) 49:3000605211016996. doi: 10.1177/03000605211016996

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Gupta S, Mohindra R, Jain A, Singla M, Sorsa T, Räisänen I . Toothbrush as a sampling methodology for detection of SARS-CoV-2. Oral Dis. (2021). doi: 10.1111/odi.14122. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Gupta S, Mohindra R, Singla M, Khera S, Sahni V, Kanta P, et al. The clinical association between periodontitis and COVID-19. Clin Oral Investig. (2022) 26:1361–74. doi: 10.1007/s00784-021-04111-3

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Sorsa T, Sahni V, Buduneli N, Gupta S, Räisänen IT, Golub LM . Active matrix metalloproteinase-8 (aMMP-8) point-of-care test (POCT) in the COVID-19 pandemic. Expert Rev Proteomics. (2021) 18:707–17. doi: 10.1080/14789450.2021.1976151

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Gupta S Saarikko M ,Pfützner A, Räisänen IT, Sorsa T. Compromised periodontal status may increase mortality of COVID-19 patients. Lancet Infect Dis. (2022) 22:314. doi: 10.1016/S1473-3099(22)00065-2

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Gupta S, Sorsa T, Brandt E, Räisänen IT, Mohindra R, Goyal K. Letter to the editor poor oral health may prolong COVID-19 illness. J Transl Med. (2022) 20:113. doi: 10.1186/s12967-022-03310-0

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. (2018) 68:394–424. doi: 10.3322/caac.21492

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Chow LQM. Head and neck cancer. N Engl J Med. (2020) 382:60–72. doi: 10.1056/NEJMra1715715

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Karam SD, Raben D. Radioimmunotherapy for the treatment of head and neck cancer. Lancet Oncol. (2019) 20:e404–16. doi: 10.1016/S1470-2045(19)30306-7

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Marques MA, Dib LL. Periodontal changes in patients undergoing radiotherapy. J Periodontol. (2004) 75:1178–87. doi: 10.1902/jop.2004.75.9.1178

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Ammajan RR, Joseph R, Rajeev R, Choudhary K, Vidhyadharan K. Assessment of periodontal changes in patients undergoing radiotherapy for head and neck malignancy: a hospital-based study. J Cancer Res Ther. (2013) 9:630–7. doi: 10.4103/0973-1482.126461

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Sroussi HY, Epstein JB, Bensadoun RJ, Saunders DP, Lalla RV, Migliorati CA, et al. Common oral complications of head and neck cancer radiation therapy: mucositis, infections, saliva change, fibrosis, sensory dysfunctions, dental caries, periodontal disease, and osteoradionecrosis. Cancer Med. (2017) 6:2918–31. doi: 10.1002/cam4.1221

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Lee W, Aitken S, Sodek J, McCulloch CA. Evidence of a direct relationship between neutrophil collagenase activity and periodontal tissue destruction in vivo: role of active enzyme in human periodontitis. J Periodontal Res. (1995) 30:23–33. doi: 10.1111/j.1600-0765.1995.tb01249.x

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Umeizudike KA, Lähteenmäki H, Räisänen IT, Taylor JJ, Preshaw PM, Bissett SM . Ability of matrix metalloproteinase-8 biosensor, IFMA and ELISA immunoassays to differentiate between periodontal health, gingivitis and periodontitis. J Period Res. (2022) 57:558–67. doi: 10.1111/jre.12985

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Lähteenmäki H, Pätilä T, Räisänen IT, Kankuri E, Tervahartiala T, Sorsa T. Repeated home-applied dual-light antibacterial photodynamic therapy can reduce plaque burden, inflammation, and aMMP-8 in peri-implant disease—a pilot study. Curr Iss Mol Biol. (2022) 44:1273–83. doi: 10.3390/cimb44030085

CrossRef Full Text | Google Scholar

Keywords: aMMP-8, point-of-care (PoC), biomarker, periodontitis, peri-implantitis, systemic diseases

Citation: Sorsa T, Nwhator SO, Sakellari D, Grigoriadis A, Umeizudike KA, Brandt E, Keskin M, Tervahartiala T, Pärnänen P, Gupta S, Mohindra R, Bostanci N, Buduneli N and Räisänen IT (2022) aMMP-8 Oral Fluid PoC Test in Relation to Oral and Systemic Diseases. Front. Oral. Health 3:897115. doi: 10.3389/froh.2022.897115

Received: 15 March 2022; Accepted: 04 May 2022;
Published: 10 June 2022.

Edited by:

George Hajishengallis, University of Pennsylvania, United States

Reviewed by:

João Botelho, Egas Moniz Interdisciplinary Research Center, Portugal
Paulo Mascarenhas, Egas Moniz Interdisciplinary Research Center, Portugal

Copyright © 2022 Sorsa, Nwhator, Sakellari, Grigoriadis, Umeizudike, Brandt, Keskin, Tervahartiala, Pärnänen, Gupta, Mohindra, Bostanci, Buduneli and Räisänen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ismo Tapani Räisänen, ismo.raisanen@helsinki.fi

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.