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Review

Is There a Similarity in Serum Cytokine Profile between Patients with Periodontitis or 2019-Novel Coronavirus Infection?—A Scoping Review

1
Department of Biomaterials, Graduate School of Biomedical and Health Sciences, School of Dentistry, Hiroshima University, Hiroshima 739-0046, Japan
2
Department of Periodontics, Saveetha Dental College, Velappanchavadi, Chennai 600077, India
Biology 2023, 12(4), 550; https://doi.org/10.3390/biology12040550
Submission received: 1 March 2023 / Revised: 22 March 2023 / Accepted: 29 March 2023 / Published: 4 April 2023
(This article belongs to the Special Issue SARS-CoV-2 and Immunology)

Abstract

:

Simple Summary

This scoping review highlights the immune-related similarities between the COVID-19 infection and periodontal disease, especially focusing on serum cytokine levels, such as IL-1β, IL-6, and TNF-α levels. Overall, higher IL-1β, IL-6, and TNF- α levels were reported in COVID-19-infected patients compared to patients with periodontitis. However, most of the included studies indicated elevated serum pro-inflammatory cytokine (IL-1β, IL-6 and TNF-α) levels in diseases (COVID-19/periodontitis) compared to healthy controls included in the same study. This shows the strong immunopathogenic role of these proinflammatory cytokines in the rationale and progressive destruction of these two conditions, and this review aims to highlight the role of a robust immune response in inflammation progression and to educate the readers about the importance of oral hygiene during the pandemic era.

Abstract

On 11 March 2020, the WHO declared a global emergency as a result of the ‘novel coronavirus infection’, which emerged from Wuhan, China, and rapidly spread across international borders. There is vast evidence that supports a direct link between oral cavities and this systemic circulation, but it is still unclear if oral conditions like periodontitis influenced the COVID-19 disease outcome. This scoping review highlights the fact that both periodontitis and COVID-19 independently increase serum pro-inflammatory cytokine levels, however there is a lack of documentation on if this biochemical profile synergizes with COVID-19 and/or periodontal severity in the same individuals. The purpose of this scoping review is to accumulate existing data on the serums IL-1β, IL-6, and TNF-α in COVID-19 and periodontitis patients and check if periodontitis negatively impacts the COVID-19 outcome, educating the population about the implications of COVID-19-related complications on their oral health, and vice versa, and motivating patients towards oral hygiene maintenance.

1. Introduction

Periodontitis is an inflammatory condition that damages the alveolar bone and soft tissues around the teeth, and compromises tooth stability [1]. It is one of the most common causes of partial to complete edentulousness; it remains a major contributing factor towards oro-functional abnormality and psychological challenges [2]. Periodontitis is established by the formation of a thin biofilm around the tooth necks, which induces inflammation caused by host-bacterial interactions and the production of pro-inflammatory cytokines. Following this, a strong immune response is initiated by the further secretion of inflammatory cytokines to combat pathogenic gram-negative bacteria, along with several adverse effects that manifest clinically (as tissue dissolution), immunologically (as increased immune cell infiltrate), and bio-chemically (as a pro-inflammatory cytokine milieu). Periodontal destruction is a sequelae of inflammation, vascular endothelial dilatation, leukocytic trans-endothelial migration, cytokine release, and chemotaxis, that cumulatively generates a continuous positive feedback loop (Figure 1).
Increased vascular leakiness following periodontal microvascular dilatation causes cytokines to enter the systemic circulation, leading to systemic implications for periodontitis related to the heart, lungs, and brain apart from other complications such as pre-term birth, acute respiratory distress syndrome (ARDS), and “cytokine storm” as in the case of covid-19 infection. [3,4]. Periodontal inflammation is directed by an imbalance in the Th1/Th2/Th17 milieu [5]. A systemic link between periodontitis and bacterial pneumonia is established due to the accidental aspiration of periodontopathic bacteria into the respiratory tract, and some reports suggest that adequate oral hygiene maintenance could prevent the bacterial spread to the lungs [6,7]. Respiratory distress in COVID-19 leads to clinical hypoxia, which in turn increases reactive oxygen species that damage periodontal and lung tissues via apoptotic cell death [8]. Hypoxia also increases leucocytic infiltration and mast cell degranulation, which activates further chemokine secretion [9].
Cytokines that are frequently associated with periodontitis are IL-1β, IL-6, IL-12, IL-16, IL-17, IL-21, and TNF-α [10,11,12,13]. In particular, IL-1β, TNF-α, and IL-6 are secreted upon exposure to LPS from the P.gingivalis, which plays a pivotal role in bone resorption, peri-implantitis, and periodontitis apart from the role of these cytokines in other systemic inflammatory conditions, thus making these cytokines prime targets for therapeutic strategies [14,15,16,17], Along these lines, this scoping review aims to highlight if simultaneous increases in the serums IL-1β, IL-6, and TNF-α in periodontitis and COVID-19 infection patients could indicate an association between periodontitis and the coronavirus infection.

Research Questions

(i) If IL-1β, IL-6, AND TNF-α are elevated in the serum of patients with periodontal disease OR COVID-19 infection.
(ii) If elevated serum cytokines influence the severity of periodontitis or the COVID-19 infection.

2. Methodology

A detailed keyword search (Supplementary Table S1) in the PubMed, LitCovid, Cochrane, and Google Scholar databases was performed, and relevant articles were selected based on their titles and abstracts. Articles published on COVID-19 between December 2019 and March 2022 were included, whereas no time period was followed for the periodontitis articles. The full texts of the included studies were further scrutinized based on the inclusion criteria. Finally, the references of the selected articles were hand-searched to locate additional studies.
Inclusion criteria.
  • Studies estimating IL-1β, IL-6, [AND] TNF-α in serum/plasma/blood/placental samples of patients affected with either the coronavirus infection [OR] periodontal disease.
Exclusion criteria
  • Studies estimating either of the serums IL-1β, [OR] IL-6, [OR] TNF-α.
  • Studies using patient samples for in-vitro analysis to estimate the release of IL-1β, IL-6 and TNF-α.
  • Samples where materials other than serum/blood/plasma/placental blood were used.
  • General reviews, systematic reviews, case reports, case series, and animal studies.
  • Analysis of the serums IL-1β, (or) IL-6, (or) TNF-α in patients with periimplantitis.
  • Articles published in languages other than English.
  • Studies which do not compare cytokine levels with control groups.

3. Results

The search strategy for COVID-19 and periodontal disease yielded 19,338 and 781 articles, respectively, and were narrowed down to 351 studies and 381 studies on COVID-19 and periodontitis, respectively, based on their titles and abstracts (Figure 2). Systemic inflammatory conditions not only hasten disease severity but alter cytokine levels in periodontal and lung tissues; studies including patients with systemic conditions were excluded, and these excluded studies are shown in supplementary Table S2. Further full-text analysis based on the inclusion and exclusion criteria lead to the inclusion of 15 individual articles on COVID-19 and periodontitis. The included studies were critically screened to extract data, such as author name, country, journal, number of participants, study groups, study type, sample used for cytokine evaluation, and results of the serum/plasma cytokine (IL-1β, TNF-α and IL-6) levels (if reported). Since both Aggressive periodontitis (AgP) and Chronic periodontitis (CP) cases were included, studies with COVID-19 infection cases and controls of all of the age groups were also included, wherein three studies included participants aged < 18 y old [18,19,20].
In the periodontitis group, nine studies showed all of the cytokines were elevated in periodontitis compared to the controls; six studies showed no difference between the controls and periodontitis, and one study only reported elevated IL-6 in severe periodontitis compared to the mild periodontitis group (Figure 3a) [21,22,23,24,25,26,27,28,29,30,31,32,33]. Data reporting methods were highly heterogeneous between the included studies; hence, further statistical analysis of these data was not possible. (Table 1)
Regarding COVID-19, eight studies showed increased IL-1β, IL-6, and TNF-α in these cases compared to the controls [18,19,34,35,36,37,38,39], five studies showed elevated IL-6 alone, and one study indicated higher TNF-α alone (Figure 3b) [40,41,42,43,44,45]. In addition, one study reported no significant difference between the cases and controls in all three of the cytokine levels, and one study reported no difference in all three IL-6, IL-1β, and TNF-α between cases and controls [41], and interestingly two studies showed decreased IL-1β and TNF-α in the cases compared to the controls [20,40,41,43,44,45]. A single study reported that in COVID-19 cases, high serum IL-1β and IL-6 in the disease were correlated with critical in-hospital deaths (p = 0.01) [36] (Table 2).
After the data analysis, serum cytokine concentration was extracted from 11 periodontitis studies and the highest reported concentration for IL-1 β level was 114 pg/mL, whilst IL-6’s was 125.4 pg/mL, and TNF-α’s was 202.71 pg/mL. Among COVID-19 patients, the highest reported serum concentration of IL-1 β level was 140 pg/mL, whilst IL-6’s was 249.0 pg/mL, and TNF-α’s was 151.59 pg/mL. Overall, higher serum IL-1 β, IL-6, and TNF-α levels were reported in COVID-19 compared to periodontitis, (Figure 3c). Another group of researchers suggested that patients showing IL-6 levels above the 50th percentile (IL-6 cut-off value above 163.4 pg/mL) had a 91.7% probability of dying (p = 0.0018), and TNF-α levels above the 50th percentile (cut-off level > 33.91 pg/mL) had a 75% probability of dying (p = 0.0648) [38]. On the other hand, a 1mm increase in PD is associated with a 25.06 pg/mL increase in IL-1β, a 1.72 pg/mL increase in IL-6, and a 1.70 pg/mL increase in TNF-α in saliva, supporting their role in tissue destruction [46,47]. Apart from these findings, it should be noted that IL-6 was the single cytokine that consistently increased in COVID-19 and was also used as a marker to distinguish levels of COVID-19 severity [41].

4. Discussion

Several periodontal studies indicated an increase in all three of the cytokines; however, a few studies found a decrease in the overall cytokine levels. Studies showing decreased cytokines were greater than the number of studies reporting increased IL-6 alone. Regarding COVID-19, most studies showed increased cytokines, whereas only one study reported a decrease in all cytokines. The number of periodontitis studies showing decreased cytokines was just over half of the number of COVID-19 studies showing decreased cytokines. Nevertheless, overall data supported the hypothesis that high IL-1β, IL-6, and TNF-α in the same patient play a role in COVID-19 and periodontitis pathogenicity independently. Interestingly, when studies reported only one cytokine increase, IL-6 increased more frequently than IL-1 and TNF-α. In fact, a few studies reported a decrease in IL-1β and/or TNF-α but not IL-6, which explains why IL-6 could be the sole determinant of severity in COVID-19 [20].
Apart from periodontitis and COVID-19, local (salivary) and systemic (serum) TNF-α/IL-6/IL-1β levels also increased in other inflammatory conditions, such as chronic oral erosive lesions and ulcers, and these cytokine levels were inversely proportional to the IL-10 that regulated epithelial healing [48,49]. Interplay between IL-1β, IL-6, and THF-α allows for seamless disease progression. (Figure 4). For instance, TNF-α upregulates PMN infiltration, disrupts the epithelial integrity, and positively influences IL-1β and IL-6 to downregulate epithelial growth [50,51,52]. Following an epithelial breach, IL-1β and TNF-α increase gingival fibroblastic MMP and activate the protease pathway for tissue dissolution [53]. IL-6 and TNF-α interplay by raising IL-1 levels for advancing bone demineralization [54]. IL-1 β is largely associated with bone destruction, osteoclastic maturation, inhibition of ALP activity, and collagen synthesis [55,56]. In lung epithelium, bacterial LPS stimulate TNF-α to prime cells to produce more TNF-α and IL-1β to continue the destructive pathway [57].
Lastly, bacterio-viral interactions diminish respiratory ciliary activity and enhance bacterial adhesion, which facilitate pathogenic aspiration from oral cavities [58]. Table 3 shows that the occurrence of periodontitis is associated with COVID-19 and COVID-19 worsens the severity of periodontal disease and COVID-19-related hospitalization. Therefore, periodontal disease management and a decreased pathogenic load may decrease the accidental aspiration of periodontal pathogens into the lungs and decrease hospitalization or COVID-19-related complications [59].

5. Further Scope for Scrutiny

Currently, data reporting methods on the cytokine levels in periodontitis/COVID-19 are highly ambiguous, with limited available literature. The lack of homogeneity in the methodology, ethnicity, and sample size prevents generalizability and conclusions of a definitive outcome. Future studies with age-matched groups and control over possible confounding factors will lead to homogenous studies assessing the data with a more detailed meta-analysis. Table 4 enlists research areas that need focus to develop a further understanding of an association between periodontitis and COVID-19.
Studies without control groups were not included in the methodology; hence, a large number of studies were excluded and the bias of the included studies has not been analysed, which are major limitations of this scoping review. In addition, the authors of the selected studies were not contacted to procure the serum cytokine values in the diseased patients when this was not mentioned in the manuscript, which might contribute to a skewed data analysis and could be an added limiting factor.

6. Conclusions

Most studies showed greater increases in IL-6 in cases than controls, which suggests that IL-6 is a strong potential diagnostic and prognostic biomarker. However, this pattern has been more often reported in cases of COVID-19, and warrants additional research to conclude its role in periodontal pathology. Overall, serum pro-inflammatory cytokines are elevated in the presence of periodontopathic bacteria, so it could be derived that periodontal disease negatively influences the serum cytokine profile, which could further affect COVID-19 disease outcomes. Moreover, reports suggest that recent periodontal therapy/well-controlled periodontitis result in lesser COVID-19 complications. Furthermore, a two-way link is established between periodontitis and lung conditions due to the aspiration of oral bacteria into the respiratory tract and the dislodgement of coronavirus into the periodontal pockets. This may worsen the disease outcome of periodontitis and COVID-19 thereby underlining the importance of the maintenance of proper periodontal hygiene and prevent complications related to each other.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/biology12040550/s1, Supplementary Table S1: Search keywords, Supplementary Table S2: Excluded studies in periodontitis.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data sharing not applicable. No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Frostegard, J. Infection and Atherosclerosis. Infect. Autoimmun. 2004, 2004, 701–709. [Google Scholar]
  2. Locker, D. Measuring oral health: A conceptual framework. Community Dent. Health 1988, 5, 3–18. [Google Scholar]
  3. Patricia, W.C.; Pannuti, R.; Pannuti, C.M.; Oppermann, R.V. Association between periodontal diseases and systemic diseases. Braz. Oral Res. 2008, 22, 32–43. [Google Scholar]
  4. Winning, L.; Linden, G. Periodontitis and systemic disease. BDJ Team 2015, 2, 5163. [Google Scholar] [CrossRef] [Green Version]
  5. Gaffen, S.L.; Hajishengallis, G. A new inflammatory cytokine on the block: Re-thinking periodontal disease and the Th1/Th2 paradigm in the context of Th17 cells and IL-17. J. Dent. Res. 2008, 87, 817–828. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Gomes-Filho, I.S.; Cruz, S.S.D.; Trindade, S.C.; Passos-Soares, J.D.S.; Carvalho-Filho, P.C.; Figueiredo, A.C.M.G.; Lyrio, A.O.; Hintz, A.M.; Pereira, M.G.; Scannapieco, F. Periodontitis and respiratory diseases: A systematic review with meta-analysis. Oral Dis. 2020, 26, 439–446. [Google Scholar] [CrossRef]
  7. Brock, M.; Bahammam, S.; Sima, C. The Relationships among Periodontitis, Pneumonia and COVID-19. Front. Oral Health 2022, 2, 104. [Google Scholar] [CrossRef]
  8. Song, Z.C.; Zhou, W.; Shu, R.; Ni, J. Hypoxia induces apoptosis and autophagic cell death in human periodontal ligament cells through HIF-1α pathway. Cell Prolif. 2012, 45, 239–248. [Google Scholar] [CrossRef]
  9. Swindle, E.J.; Metcalfe, D.D. The role of reactive oxygen species and nitric oxide in mast cell-dependent inflammatory processes. Immunol. Rev. 2007, 217, 186–205. [Google Scholar] [CrossRef]
  10. Noh, M.K.; Jung, M.; Kim, S.H.; Lee, S.R.; Park, K.H.; Kim, D.H.; Kim, H.H.; Park, Y.G. Assessment of IL-6, IL-8 and TNF-α levels in the gingival tissue of patients with periodontitis. Exp. Ther. Med. 2013, 6, 847–851. [Google Scholar] [CrossRef] [Green Version]
  11. Pan, W.; Wang, Q.; Chen, Q. The cytokine network involved in the host immune response to periodontitis. Int. J. Oral Sci. 2019, 11, 30. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Mootha, A.; Malaiappan, S.; Jayakumar, N.D.; Varghese, S.; Thomas, J.T. The Effect of Periodontitis on Expression of Interleukin-21: A Systematic Review. Int. J. Inflamm. 2016, 2016, 1–8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Mootha, A.; Malaiappan, S.; Milstein, D.M.J.; Karthikeyan, G.; Varghese, S.S.; Jayakumar, N.D. Comparison of interleukin-21 levels and its correlation with clinical parameters among healthy individuals, chronic periodontitis, and aggressive periodontitis patients. J. Clin. Transl. Res. 2021, 7, 84–92. [Google Scholar] [PubMed]
  14. Costa, M.J.F.; de Araújo, I.D.T.; da Rocha Alves, L.; da Silva, R.L.; dos Santos Calderon, P.; Borges, B.C.D.; de Aquino Martins, A.R.L.; de Vasconcelos Gurgel, B.C.; Lins, R.D.A.U. Relationship of Porphyromonas gingivalis and Alzheimer’s disease: A systematic review of pre-clinical studies. Clin. Oral Investig. 2021, 25, 797–806. [Google Scholar] [CrossRef] [PubMed]
  15. Koyama, T.; Uchida, K.; Fukushima, K.; Ohashi, Y.; Uchiyama, K.; Inoue, G.; Takahira, N.; Takaso, M. Elevated levels of TNF-α, IL-1β and IL-6 in the synovial tissue of patients with labral tear: A comparative study with hip osteoarthritis. BMC Musculoskelet. Disord. 2021, 22, 1–7. [Google Scholar] [CrossRef] [PubMed]
  16. Ghassib, I.; Chen, Z.; Zhu, J.; Wang, H.L. Use of IL-1 β, IL-6, TNF-α, and MMP-8 biomarkers to distinguish peri-implant diseases: A systematic review and meta-analysis. Clin. Implant Dent. Relat. Res. 2019, 21, 190–207. [Google Scholar] [CrossRef] [Green Version]
  17. Cekici, A.; Kantarci, A.; Hasturk, H.; Van Dyke, T.E. Inflammatory and immune pathways in the pathogenesis of periodontal disease. Periodontology 2000 2014, 64, 57–80. [Google Scholar] [CrossRef] [Green Version]
  18. Lu, Q.; Zhu, Z.; Tan, C.; Zhou, H.; Hu, Y.; Shen, G.; Zhu, P.; Yang, G.; Xie, X. Changes of serum IL-10, IL-1β, IL-6, MCP-1, TNF-α, IP-10 and IL-4 in COVID-19 patients. Int. J. Clin. Pract. 2021, 75, 14462. [Google Scholar] [CrossRef]
  19. Shafiek, H.K.; El Lateef, H.M.A.; Boraey, N.F.; Nashat, M.; Abd-Elrehim, G.A.B.; Abouzeid, H.; Hafez, S.F.M.; Shehata, H.; Elhewala, A.A.; Abdel-Aziz, A.; et al. Cytokine profile in Egyptian children and adolescents with COVID-19 pneumonia: A multicenter study. Pediatr. Pulmonol. 2021, 56, 3924–3933. [Google Scholar] [CrossRef]
  20. Zhang, Z.; Chen, D.; Liu, Q.; Gan, C.; Jiang, L.; Zhu, K.; Zhang, X.; Xu, H.; Huang, A.; Long, Q.; et al. Clinical features of Chinese children with COVID-19 and other viral respiratory infections. Pediatr. Pulmonol. 2022, 57, 49–56. [Google Scholar] [CrossRef]
  21. Hetta, H.F.; Mwafey, I.M.; Batiha, G.E.S.; Alomar, S.Y.; Mohamed, N.A.; Ibrahim, M.A.; Elkady, A.; Meshaal, A.K.; Alrefai, H.; Khodeer, D.M.; et al. CD19+ CD24hi CD38hi Regulatory B Cells and Memory B Cells in Periodontitis: Association with Pro-Inflammatory and Anti-Inflammatory Cytokines. Vaccines 2020, 8, 340. [Google Scholar] [CrossRef] [PubMed]
  22. Wang, X.; Tang, Y.; Xiao, R. Chemerin contributes to inflammatory responses and suppresses osteogenic differentiation in chronic periodontitis. Oral Dis. 2022, 00, 1–9. [Google Scholar] [CrossRef]
  23. Medara, N.; Lenzo, J.C.; Walsh, K.A.; Darby, I.B.; O’Brien-Simpson, N.M.; Reynolds, E.C. T helper 17 cell-related cytokines in serum and saliva during management of periodontitis. Cytokine 2020, 134, 155186. [Google Scholar] [CrossRef]
  24. Bagavad Gita, J.; George, A.V.; Pavithra, N.; Chandrasekaran, S.C.; Latchumanadhas, K.; Gnanamani, A. Dysregulation of miR-146a by periodontal pathogens: A risk for acute coronary syndrome. J. Periodontol. 2019, 90, 756–765. [Google Scholar] [CrossRef] [PubMed]
  25. Jiang, H.; Zhang, Y.; Xiong, X.; Harville, E.W.; Qian, X. Salivary and serum inflammatory mediators among pre-conception women with periodontal disease. BMC Oral Health 2016, 16, 131. [Google Scholar] [CrossRef] [Green Version]
  26. Fentoğlu, Ö.; Köroğlu, B.K.; Hiçyılmaz, H.; Sert, T.; Özdem, M.; Sütçü, R.; Tamer, M.N.; Orhan, H.; Ay, Z.Y.; Tonguç, M.; et al. Pro-inflammatory cytokine levels in association between periodontal disease and hyperlipidaemia. J. Clin. Periodontol. 2011, 38, 8–16. [Google Scholar] [CrossRef] [PubMed]
  27. Zhang, J.; Zhang, A.M.; Zhang, Z.M.; Jia, J.L.; Sui, X.X.; Yu, L.R.; Liu, H.T. Efficacy of combined orthodontic-periodontic treatment for patients with periodontitis and its effect on inflammatory cytokines: A comparative study. Am. J. Orthod. Dentofac. Orthop. 2017, 152, 494–500. [Google Scholar] [CrossRef]
  28. Davies, R.C.; Jaedicke, K.M.; Barksby, H.E.; Jitprasertwong, P.; Al-Shahwani, R.M.; Taylor, J.J. Do patients with aggressive periodontitis have evidence of diabetes? A pilot study. J. Periodontal Res. 2011, 46, 663–672. [Google Scholar] [CrossRef]
  29. Fiorini, T.; Susin, C.; da Rocha, J.M.; Weidlich, P.; Vianna, P.; Moreira, C.H.C.; Chies, J.A.B.; Rösing, C.K.; Oppermann, R.V. Effect of nonsurgical periodontal therapy on serum and gingival crevicular fluid cytokine levels during pregnancy and postpartum. J. Periodontal Res. 2013, 48, 126–133. [Google Scholar] [CrossRef] [Green Version]
  30. Chang, J.; Blanchard, S.B.; Windsor, L.J.; Gregory, R.L.; Hamada, Y. Levels of growth factors from platelet-rich fibrin from chronic periodontitis versus periodontally healthy subjects: A pilot study. Clin. Oral Investig. 2020, 24, 823–832. [Google Scholar] [CrossRef]
  31. Han, D.H.; Shin, H.S.; Kim, M.S.; Paek, D.; Kim, H.D. Group of serum inflammatory markers and periodontitis-metabolic syndrome coexistence in Koreans. J. Periodontol. 2012, 83, 612–620. [Google Scholar] [CrossRef] [PubMed]
  32. Miranda, T.S.; Heluy, S.L.; Cruz, D.F.; da Silva, H.D.P.; Feres, M.; Figueiredo, L.C.; Duarte, P.M. The ratios of pro-inflammatory to anti-inflammatory cytokines in the serum of chronic periodontitis patients with and without type 2 diabetes and/or smoking habit. Clin. Oral Investig. 2019, 23, 641–650. [Google Scholar] [CrossRef]
  33. Rabelo, M.D.S.; Gomes, G.H.; Foz, A.M.; Stadler, A.F.; Cutler, C.W.; Susin, C.; Romito, G.A. Short-term effect of non-surgical periodontal treatment on local and systemic cytokine levels: Role of hyperglycemia. Cytokine 2021, 138, 155360. [Google Scholar] [CrossRef]
  34. Valizadeh, H.; Abdolmohammadi-Vahid, S.; Danshina, S.; Gencer, M.Z.; Ammari, A.; Sadeghi, A.; Roshangar, L.; Aslani, S.; Esmaeilzadeh, A.; Ghaebi, M.; et al. Nano-curcumin therapy, a promising method in modulating inflammatory cytokines in COVID-19 patients. Int. Immunopharmacol. 2020, 89, 107088. [Google Scholar] [CrossRef]
  35. Taghiloo, S.; Soltanshahi, M.; Aliyali, M.; Abedi, S.; Mehravaran, H.; Ajami, A.; Asgarian-Omran, H. Cytokine profiling in Iranian patients with COVID-19; association with clinical severity. Iran. J. Immunol. 2021, 18, 54–64. [Google Scholar] [PubMed]
  36. Alosaimi, B.; Mubarak, A.; Hamed, M.E.; Almutairi, A.Z.; Alrashed, A.A.; AlJuryyan, A.; Enani, M.; Alenzi, F.Q.; Alturaiki, W. Complement Anaphylatoxins and Inflammatory Cytokines as Prognostic Markers for COVID-19 Severity and In-Hospital Mortality. Front. Immunol. 2021, 12, 668725. [Google Scholar] [CrossRef] [PubMed]
  37. Bayraktar, N.; Turan, H.; Bayraktar, M.; Ozturk, A.; Erdogdu, H. Analysis of serum cytokine and protective vitamin D levels in severe cases of COVID-19. J. Med. Virol. 2021, 94, 154–160. [Google Scholar] [CrossRef]
  38. Mandel, M.; Harari, G.; Gurevich, M.; Achiron, A. Cytokine prediction of mortality in COVID19 patients. Cytokine 2020, 134, 155190. [Google Scholar] [CrossRef]
  39. Bergamaschi, L.; Mescia, F.; Turner, L.; Hanson, A.L.; Kotagiri, P.; Dunmore, B.J. Longitudinal analysis reveals that delayed bystander CD8+ T cell activation and early immune pathology distinguish severe COVID-19 from mild disease. Immunity 2021, 54, 1257–1275. [Google Scholar] [CrossRef]
  40. Rodrigues, T.S.; de Sá, K.S.; Ishimoto, A.Y.; Becerra, A.; Oliveira, S.; Almeida, L.; Gonçalves, A.V.; Perucello, D.B.; Andrade, W.A.; Castro, R.; et al. Inflammasomes are activated in response to SARS-CoV-2 infection and are associated with COVID-19 severity in patients. J. Exp. Med. 2021, 218, 20201707. [Google Scholar] [CrossRef]
  41. Bergantini, L.; d’Alessandro, M.; Cameli, P.; Otranto, A.; Luzzi, S.; Bianchi, F.; Bargagli, E. Cytokine profiles in the detection of severe lung involvement in hospitalized patients with COVID-19: The IL-8/IL-32 axis. Cytokine 2022, 151, 1–7. [Google Scholar] [CrossRef] [PubMed]
  42. Stukas, S.; Hoiland, R.; Cooper, J.; Thiara, S.; Griesdale, D.E.; Thomas, A.D.; Orde, M.M.; English, J.C.; Chen, L.Y.C.; Foster, D.; et al. The Association of Inflammatory Cytokines in the Pulmonary Pathophysiology of Respiratory Failure in Critically Ill Patients with Coronavirus Disease 2019. Crit. Care Explor. 2020, 2, 1–9. [Google Scholar] [CrossRef] [PubMed]
  43. Arulkumaran, N.; Snow, T.A.C.F.; Kulkarni, A.; Brealey, D.; Rickman, H.M.B.; Rees-Spear, C.M.; Spyer, M.J.; Heaney, J.; Garr, E.; Williams, B.; et al. Defining Potential Therapeutic Targets in Coronavirus Disease 2019: A Cross-Sectional Analysis of a Single-Center Cohort. Crit. Care Explor. 2021, 3, e0488. [Google Scholar] [CrossRef]
  44. Guo, J.; Lin, W.H.W.; Zucker, J.E.; Nandakumar, R.; Uhlemann, A.C.; Wang, S.; Shivakoti, R. Inflammation and Mortality in COVID-19 Hospitalized Patients with and without Type 2 Diabetes. J. Clin. Endocrin. Metabol. 2022, 107, 1961–1968. [Google Scholar] [CrossRef] [PubMed]
  45. Anantharaj, A.; Gujjar, S.; Verma, N.; Khan, N.A.; Shaman, H.; Sharanabasava, P.; Das, A.; Pandey, R.; Pandey, A.K.; Medigeshi, G.R. Resolution of viral load in mild COVID-19 patients is associated with both innate and adaptive immune responses. J. Clin. Virol. 2022, 146, 105060. [Google Scholar] [CrossRef]
  46. Wang, C.Y.; Stashenko, P. Kinetics of Bone-resorbing Activity in Developing Periapical Lesions. J. Dent. Res. 1991, 70, 1362–1366. [Google Scholar] [CrossRef]
  47. Trombelli, L.; Scapoli, C.; Carrieri, A.; Giovannini, G.; Calura, G.; Farina, R. Interleukin-1β levels in gingival crevicular fluid and serum under naturally occurring and experimentally induced gingivitis. J. Clin. Periodontol. 2010, 37, 697–704. [Google Scholar] [CrossRef]
  48. Abboud, C.S.; Brandão, E.H.d.S.; Cunha, K.R.L.; Brito, K.d.S.; Gallo, C.D.B.; Molon, A.C.; Horliana, A.C.R.T.; Franco, A.S.L.; Thongprasom, K.; Rodrigues, M.F.S.D. Serum and salivary cytokines in patients with oral lichen planus treated with Photobiomodulation. Oral Dis. 2023, 29, 1250–1258. [Google Scholar] [CrossRef]
  49. Lewkowicz, N.; Lewkowicz, P.; Banasik, M.; Kurnatowska, A.; Tchorzewski, H. Predominance of type 1 cytokines and decreased number of CD4+CD25+high T regulatory cells in peripheral blood of patients with recurrent aphthous ulcerations. Immunol. Lett. 2005, 99, 57–62. [Google Scholar] [CrossRef]
  50. Savage, N.W.; Adkins, K.F.; Weir, A.V.; Grundy, G.E. A histological study of cystic lesions following pulp therapy in deciduous molars. J. Oral Pathol. 1986, 15, 209–212. [Google Scholar] [CrossRef]
  51. Petecchia, L.; Sabatini, F.; Usai, C.; Caci, E.; Varesio, L.; Rossi, G.A. Cytokines induce tight junction disassembly in airway cells via an EGFR-dependent MAPK/ERK1/2-pathway. Lab. Investig. 2012, 92, 1140–1148. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Grossman, R.M.; Krueger, J.; Yourish, D.; Granelli-Piperno, A.; Murphy, D.P.; May, L.T.; Kupper, T.S.; Sehgal, P.B.; Gottlieb, A.B. Interleukin 6 is expressed in high levels in psoriatic skin and stimulates proliferation of cultured human keratinocytes. Proc. Natl. Acad. Sci. USA 1989, 86, 6367–6371. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Siwik, D.A.; Chang, D.L.-F.; Colucci, W.S. Colucci. Interleukin-1β and Tumor Necrosis Factor-α Decrease Collagen Synthesis and Increase Matrix Metalloproteinase Activity in Cardiac Fibroblasts In Vitro. Mol. Med. 2000, 86, 1259–1265. [Google Scholar]
  54. Yoshida, K.; Taga, T.; Saito, M.; Suematsu, S.; Kumanogoh, A.; Tanaka, T.; Fujiwara, H.; Hirata, M.; Yamagami, T.; Nakahata, T.; et al. Targeted disruption of gp130, a common signal transducer for the interleukin 6 family of cytokines, leads to myocardial and hematological disorders. Proc. Natl. Acad. Sci. USA 1996, 93, 407–411. [Google Scholar] [CrossRef] [Green Version]
  55. Akatsu, T.; Takahashi, N.; Udagawa, N.; Imamura, K.; Yamaguchi, A.; Sato, K.; Nagata, N.; Suda, T. Role of prostaglandins in interleukin-1-induced bone resorption in mice in vitro. J. Bone Miner. Res. 1991, 6, 183–189. [Google Scholar] [CrossRef]
  56. Frodge, B.D.; Ebersole, J.L.; Kryscio, R.J.; Thomas, M.V.; Miller, C.S. Bone remodeling biomarkers of periodontal disease in saliva. J. Periodontol. 2008, 79, 1913–1919. [Google Scholar] [CrossRef] [PubMed]
  57. Saperstein, S.; Chen, L.; Oakes, D.; Pryhuber, G.; Finkelstein, J. IL-1β augments TNF-α-mediated inflammatory responses from lung epithelial cells. J. Interferon Cytokine Res. 2009, 29, 273–284. [Google Scholar] [CrossRef] [PubMed]
  58. Slots, J. Herpesviral-bacterial interactions in periodontal diseases. Periodontology 2000 2010, 52, 117–140. [Google Scholar] [CrossRef]
  59. Said, K.N.; Al-Momani, A.M.; Almaseeh, J.A.; Marouf, N.; Shatta, A.; Al-Abdulla, J.; Alaji, S.; Daas, H.; Tharupeedikayil, S.S.; Chinta, V.R.; et al. Association of periodontal therapy, with inflammatory biomarkers and complications in COVID-19 patients: A case control study. Clin. Oral Investig. 2022, 26, 6721–6732. [Google Scholar] [CrossRef]
Figure 1. Cytokines released in pathogenesis of periodontal disease and the novel coronavirus infection. Figure legends: IL—Interleukin; L-CAM—Leukocyte cell adhesion molecules; E-CAM- Endothelial cell adhesion molecules; MMP—Matrix metalloproteinases; TNF—Tumor necrosis factor; PGE—Prostaglandin E; RANKL—Receptor activator of nuclear factor kappa-B Ligand; CRP—C-reactive protein; JAK—Janus Kinases; STAT—signal transducer and activator of transcription; VEGF—Vascular endothelial growth factor; LPS- Lipopolysaccharide.
Figure 1. Cytokines released in pathogenesis of periodontal disease and the novel coronavirus infection. Figure legends: IL—Interleukin; L-CAM—Leukocyte cell adhesion molecules; E-CAM- Endothelial cell adhesion molecules; MMP—Matrix metalloproteinases; TNF—Tumor necrosis factor; PGE—Prostaglandin E; RANKL—Receptor activator of nuclear factor kappa-B Ligand; CRP—C-reactive protein; JAK—Janus Kinases; STAT—signal transducer and activator of transcription; VEGF—Vascular endothelial growth factor; LPS- Lipopolysaccharide.
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Figure 2. Flowchart of search strategy.
Figure 2. Flowchart of search strategy.
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Figure 3. (a) Cytokine profile in periodontitis patients; (b) Cytokine profile in COVID-19 patients; (c) Comparison of cytokine levels between COVID-19 and periodontitis. (Arrows indicate increase or decrease in cytokine levels).
Figure 3. (a) Cytokine profile in periodontitis patients; (b) Cytokine profile in COVID-19 patients; (c) Comparison of cytokine levels between COVID-19 and periodontitis. (Arrows indicate increase or decrease in cytokine levels).
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Figure 4. Immune-pathogenetic similarities and cytokine interplay in periodontitis and COVID-19.
Figure 4. Immune-pathogenetic similarities and cytokine interplay in periodontitis and COVID-19.
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Table 1. Data collected from included studies from the periodontitis search strategy.
Table 1. Data collected from included studies from the periodontitis search strategy.
S NoAuthor, Year, CountryJournalStudy Type No: of Participants, Age in ParenthesesType of Periodontitis and Sample Periodontal Assessment in Periodontitis Group Cytokine Analysis Results of Serum
Cytokines
Periodontitis Group Cytokine Concentration (pg/mL)Control Cytokine Concentration (pg/mL)
1Fan Jiang,
2021, China
American Journal of Translational Researchobservational studyCP = 86 (59.11 ± 8.63), HC= 60 (57.26 ± 7.15)CP,
Serum
BI, PD, PI, CAL, patients with
more than 16 teeth
ELISAAll three cytokines were higher in CP than controls (p < 0.001)NR in cases and controls NR in cases and controls
2R C Davies,
2011, UK
Journal of periodontal research pilot studyAgP = 30 (36.7 ± 6.3) yrs),
HC = 30 controls (18–45 yrs)
AgP, SerumRadiographic bone loss (≥4–6 mm), CAL (≥2–8 mm), family history.ELISANo difference in all three cytokines between AgP and controls (p > 0.05)IL-1β = 0.00 (0.00–0.02)
IL-6 = 0.06 (0.00–0.19)
TNF-α = 0.27 (0.00–0.72)
IL-1β = 0.00 (0.00–0.03)
IL-6 = 0.06 (0.00–0.18)
TNF-α = 0.24 (0.00–0.90)
3T Fiorini,
2013, Brazil
Journal of periodontal research randomized control trial Case = 27 (18–35 yrs)
Control = 30
(18–35 yrs)
Periodontitis, serum and GCF PI, GI, supragingival calculus, cavities, overhanging restorations, BOP, PD, CAL.Flow cytometryNo significant difference in cytokine levels between groups (all = p > 0.05)median,
IL-1β = 114.90
IL-6 = 5.40
TNF-α = 1.70
median,
IL-1β = 134.15
IL-6 = 3.8
TNF-α = 1.15
4Artem
Eldzharov,
2021, Russia
Journal of Clinical Medicinesingle-blind clinical trialGCP = 40 (49.2 ± 4.3 yrs),
Controls = 40 (49.7 ± 4.8 yrs)
moderate—severe chronic generalized periodontitis (Mild-moderate-severe), serumPD ≥ 4 mm, and/or CAL ≥ 4 mm), generalized (>30% of sites), and radiographic vertical bone defect of at least 4 mm.ELISA.All three cytokines were significantly more elevated in GCP than controls (all p < 0.01)IL-1β = 19.7 ± 3.2
IL-6 = 73.29 ± 5.11
TNF-α = 13.68 ± 2.39
IL-1β = 3.6 ± 1.01
IL-6 = 4.52 ± 0.81
TNF-α = 1.24 ± 0.22
5Nidhi Medara, 2020, AustraliaCytokineInvestigational and interventional studyPeriodontitis = 54 (53.28 ± 11.44 yrs), HC = 40 (49.30 ± 10.62 yrs) Periodontitis type NR, serum and saliva(PD) ≥ 5 mm, over 21 yrs of age, had a
minimum of 16 teeth (excluding the third molars),
Luminex assaySerum and salivary IL-1β, IL-6, and TNF-α were significantly higher at baseline in periodontitis than healthy and significantly decreased with treatmentNR in cases and controls NR in cases and controls
6Jennifer Chang, 2020, USAClinical Oral InvestigationsCross-sectional observational studyPeriodontitis = 9 (52.2 ± 10.8 yrs), HC = 10 (52.8 ± 9.2 yrs) generalized moderate to severe CP, Serum Generalized moderate = >30% of teeth with BOP, CAL 3–4 mm, PD ≥ 5 and <7 mm, and radiographic bone loss of 16 to 30%;
Severe = >30% of teeth with BOP, CAL ≥ 5 mm, PD ≥ 7 mm, and radiographic bone loss > 30%
ELISANo statistically significant group differences in IL-1β, IL-6, and TNF-α between test and control groups IL-1β = 4.42 (2.94–4.78),
IL-6 = 3.99 (3.78–10.06), TNF-α = 11.82 (11.18–14.92)
IL-1β = 3.88 (2.69–5.25), IL-6 = 1.48 (0.82–2.98), TNF-α = 7.98 (4.16–14.62)
7Helal F. Hetta, 2020, USAVaccinesCase-control studyPeriodontitis = 55 (37.46 ± 4.2 yrs), HC = 20 (35.65 ± 1.6 yrs) Stage two periodontitis, serumPD ≥ 6 mm, (clinical attachment loss) CAL ≥ 5 mm, and radiographic evidence of bone loss in at least
six teeth
ELISASignificantly higher levels of serums IL-6, TNF-α, and
IL-1β were seen in patients with CP than controls (p = 0.0001)
IL-1β = 84.02 ± 11.77,
IL-6 = 125.4 ± 19.03,
TNF-α = 202.71 ± 103.8
IL-1β = 7.03 ± 3.53,
IL-6 = 19.03 ± 4.26,
TNF-α = 11.01 ± 7.77
8Xinling Wang, 2021, ChinaOral DiseasesCase-control comparison studyPeriodontitis = 36 (44.8 ± 11.3 yrs), HC = 25 (41.6 ± 9.7 yrs) CP, serummultiple sites with bone loss and PD > 4 mmELISASerum IL-1β, IL-6, and TNF-α were all remarkably more upregulated in CP group than control group NR in cases and controls NR in cases and controls
9Dong-Hun Han 2020Journal of periodontologycross-sectional studyHealthy = 73 (40.85 ± 10.11 yrs); periodontitis = 20 (48.65 ± 9.27 yrs)CPcommunity periodontal index (CPI): non-periodontitis(CPI 0 to CPI 2, including normal and gingivitis) versus periodontitis (CPI 3 or CPI 4)ELISANo difference in IL-1β, IL-6 and TNF-α levels between groups, but severe periodontitis showed higher IL-6 than control and mild periodontitis groups (p = 0.045)IL-1β (ng/mL) = 0.35 ± 0.11, IL-6 (ng/mL) = 1.38 ± 0.21, TNF-α (ng/mL) = 2.10 ± 0.49IL-1 β (ng/mL) = 0.47 ± 0.06, IL-6 (ng/mL) = 1.17 ± 0.12, TNF-α (ng/mL) = 1.92 ± 0.29
10Tamires Szeremeske Miranda, 2019, BrazilClinical Oral Investigationscross sectional studyHealthy controls = 25 (51.6  ±  7.2 yrs), CP = 26 (52.7  ±  8.3 yrs)CP>30% of sites with PD and CAL ≥ 4 mm and BoP, and a minimum of six teeth in each quadrant with at least one site with PD and CAL ≥ 5 mm and BoPmultiplex fluorescent bead-based immunoassayNo significant difference in cytokine levels between groups (all = p > 0.05)IL-1 β = 0.9 (1.1 ± 0.8),
IL-6 = 2.5 (2.9 ± 2.1),
TNF-α = 3.5 (4.7 ± 2.9)
IL-1β = 1.1 (1.2 ± 0.6),
IL-6 = 3.6 (3.5 ± 1.4), TNF-α = 4.9 (5.0 ± 1.7)
11J. Bagavad Gita, 2018, IndiaJournal of periodontologycase-control studyHealthy controls = 66 (48 ± 4.413 yrs), CP = 66 (43.22 ± 1.951 yrs)CPMild periodontitis = ≥2 sites with CAL ≥ 3 mm, PD ≥ 4 mm/one site with PD ≥ 5 mm; Moderate periodontitis = ≥2 sites with CAL ≥ 4 mm, or ≥2 sites with PD ≥ 5 mm;
Severe periodontitis = ≥2 sites with CAL ≥ 6 mm and ≥1 site with PD ≥ 5 mm
ELISASerums IL-1β, IL-6, and TNF-α were all remarkably more upregulated in CP than control group (all p < 0.0001)NR in cases and controls NR in cases and controls
12Mariana de Sousa Rabelo, 2021, USACytokineclinical studyHealthy controls = 15 (45.3 ± 7.9 yrs), CP = 15 (50.4 ± 8.1 yrs)CPPeriodontitis: presence of ≥10 teeth with CAL ≥ 5 mm; ≥10 teeth with PD ≥ 5 mm; and ≥30% sites with BOP.
HC = PPD ≤ 4 mm and BOP in <30% sites
multiplex fluorescent bead-based immunoassay systemNo significant difference in cytokine levels between groupsIL-1β = 0.13 (0.03;
IL-6 = 2.27 (0.95; 12.53), TNF-α = 1.35 (0.53; 4.84)
IL-1β = 0.09 (0.01; 0.25), IL-6 = 0.73 (0.44; 1.41), TNF-α = 0.33 (0.01; 2.73)
13Hong Jiang, 2016, ChinaBMC Oral HealthCross-sectional observational studyHealthy controls = 91 (26.53  ±  2.96 yrs), periodontitis = 442 (CP = 26.86  ±  3.63, severe CP = 26.61  ±  3.45 yrs)CPmild CP = PD > 3 mm or CAL > 3 mm; moderate CP = ≥4 with PD > 3 mm; severe CP ≥ 4 with PD ≥ 5 mmELISASerums IL-1β (p = 0.002), IL-6 (p = 0.052), and TNF-α (p = 0.005) were all remarkably more upregulated in CP than control group IL-1β = 21.76 ± 2.51,
IL-6 = 18.92 ± 1.97,
TNF-α = 23.34 ± 2.56
IL-1β = 14.59 ± 3.13; 0.25),
IL-6 = 16.12 ± 2.18,
TNF-α = 15.18 ± 3.94
14Ozlem Fentoglu, 2010, TurkeyJournal of Clinical Periodontology Observational studyHealthy controls = 91 (31–54 yrs), periodontitis = 442 (31–54 yrs)CPHealthy: GI< 1, % BOP < 25%, No sites with CAL,
CP = ≥4 teeth with a PD ≥ 5 mm, with CAL ≥ 2 mm
ELISASerums IL-1β, IL-6, and TNF-α were all remarkably more upregulated in CP than control group (all p = 0.006)IL-1β = 2.94 (0.80–26.08), IL-6 = 5.82 (3.51–62.53),
TNF-α = 14.82 (1.80–177.74)
IL-1β = 2.44 (0.71–27.07,
IL-6 = 5.40 (3.20–22.70,
TNF-α = 25.08 (0.71–1459.76)
15Jin Zhang, 2017, China American Journal of Orthodontics and Dentofacial OrthopedicsComparative studyHealthy controls = 117 (33.9 ± 5.7 yrs), periodontitis = 52 (36.5 ± 6 5.8 yrs)CPpathologic tooth migration, tooth displacement,
gingival bleeding, and mobility, PD, periodontal abscess, CAL = mild (1–2 mm, n = 48), moderate (3–4 mm,
n = 39), and severe (≥5 mm, n = 30)
ELISASerums IL-1β, IL-6, and TNF-α were higher in periodontitis than healthy controls (all p < 0.05)IL-1β = 11.69 ± 4.13,
IL-6 = 7.92 ± 3.02,
TNF-α = 17.68 ± 5.61
IL-1β = 1.47 ± 0.59,
IL-6 = 7.92 ± 3.08,
TNF-α = 4.97 ± 1.76
Table legends: CP = chronic periodontitis; AgP = Aggressive periodontitis; PD = pocket depth; CAL= clinical attachment loss; BI = bleeding index; PI = plaque index; GI = gingival index; BOP= bleeding on probing; GCP = generalized chronic periodontitis; GCF = gingival crevicular fluid.
Table 2. Data collected from included studies from the COVID-19 search strategy.
Table 2. Data collected from included studies from the COVID-19 search strategy.
S NoAuthor, Year, CountryJournalStudy TypeNo: of ParticipantsResults of Serum CytokinesCases Cytokine Concentration (pg/mL)Controls Cytokine Concentration (pg/mL)
1Tamara S. Rodrigues,
2021
Brazil
Journal of experimental medicineObservational study Covid + ve = 124 (59.25 + 18.01 yrs, mild, moderate, and severe), HC = 73 IL-6 increased more in cases than controls (p = 0.000), and there was an insignificantly greater increase in IL-1β in cases than controls; no significant increase in TNF-α in cases than controls (p = 0.3) NR in cases versus controls NR in cases versus controls
2Lu Qingqing, 2021, ChinaInternational journal of clinical practiceCross-sectional observational studyCovid + ve = 20 (8–78 yrs), HC = 35 (7–8 yrs), IL-1β(p = 0.000), IL-6 (p = 0.000), and TNF-α (p = 0.000) of COVID-19 patients were significantly higher than control groupIL-1 β = 7.22(10.39),
IL-6 = 7.56(10.89),
TNF-α = 14.21 (23.80)
IL-1 β = 0.02 (0.00),
IL-6 = 0.03 (0.00),
TNF-α = 0.02 (0.00)
3Shafiek Hala K, 2021, EgyptPediatric immunologymulti-center studyCovid + ve = 92 (10.5 (8.6–17.8 yrs) (Moderate = 68, severe = 18, critical = 6),HC = 100; (<18 yrs)Cases had higher IL-1β, IL-6, and TNF-α levels than controls (all p  <  0.01), and severe COVID-19 pneumonia patients had higher IL-1β and IL-6 levels than moderate cases (all p  <  0.01)IL-1 β = 8 (9–57),
IL-6 = 32 (13–146),
TNF-α = 5.7 (3.5–18)
IL-1 β = 2.3 (0.25–4.15), IL-6= 8 (2–14.7),
TNF-α = 1.8 (0.4–2.6)
4Hamed Valizadeh, 2020, IranInternational ImmunopharmacologyPlacebo-controlled clinical trialCovid + ve = 40 (severe, 19–69 yrs), HC = 40 (22–65 yrs)IL-1β, IL-6, and TNF-α were increased significantly in COVID-19 patients compared with healthy control group (p < 0.05)NR in cases versus controls NR in cases versus controls
5Saeid Taghiloo, 2020, IranIranian Journal of ImmunologyCross sectional observational studyCovid +ve = 61 (62 (50–72 yrs), HC = 31, (60.2 yrs)IL-1β, TNF-α, and IL-6 (all p < 0.0001) were higher in cases than controls. Mild and severe. IL1β and TNF-α (p < 0.0001), along with IL-6 (p = 0.0001) were higher in severe cases than mild casesNR in cases versus controls NR in cases versus controls
6Laura Bergantini, 2022, ItalyCytokineProspective studyCovid + ve = 64 (Mild moderate and severe, 59–67 yrs), HC = 27 (36–78 yrs)IL-6 was higher in severe cases than HC (p < 0.001), no difference between cases and HC in IL-β and TNF-α levels. IL-1β was higher in severe than in mild/ moderate cases (p = 0.048; p = 0.042) and IL-6 was higher in severe than in mild/moderate cases (p < 0.05, p < 0.01)AUC = IL-6 = AUC = 0.70, 95 %CI: 0.57–0.85p = 0.007 (pg/mL)NR in controls
7Bandar Alosaimi, 2021, Saudi ArabiaFrontiers in immunologyObservational studyCovid + ve = 53 (Mild and critical, 55 ± 18 yrs), HC = 18, (16–92 yrs)IL-1β, TNF-α, and IL-6 levels were higher in severe cases than controls (p < 0.001), and TNF-α was higher in mild cases than controls (p < 0.05)NR in cases versus controls NR in cases versus controls
8Jia Guo, 2022, USAJounal of clinical endocrinology and metabolismcase-control (died-survived) studyCovid + ve = 205 (65–72 yrs), HC = 333 (60–68 yrs)IL-6 was higher in cases than controls (p < 0.05) and significantly associated with mortality, whereas no difference in IL-1β and TNF-α levels was seen between cases and controls NR in cases versus controls NR in cases versus controls
9Anbalagan Anantharaj, 2022, IndiaJournal of Clinical VirologyObservational studyCovid +ve = 16 (26–45 yrs, HC = 10, (26–45 yrs)No difference in IL-1β and IL-6 between groups, and TNF-α was slightly increased in cases and this was insignificantNR in cases versus controls NR in cases versus controls
10Nihayet Bayraktar, 2021, TurkeyJournal of Medical VirologyObservational studyCovid + ve = 31 (53.72  ±  17.02 yrs), HC = 43, (50–53 yrs)Levels of all cytokines were higher in the cases than control groupIL-1β= 140.37 ± 64.32,
IL-6 = 249.02 ± 62.84,
TNF-α = 151.59 ± 56.50
IL-1β = 23.98 ± 11.64,
IL-6 = 51.77 ± 21.24,
TNF-α = 52.74 ± 20.43
11Zhen-Zhen Zhang, 2021, ChinaPediatric pulmonologyObservational studyCovid +ve = 20 (14.50–17.00 yrs, (mild, moderate, severe),
HC = 20, (~14.5 yrs)
IL-1β and TNF-α were decreased more in cases than controls (p  <  0.05), whereas no difference was found in IL-6NR in cases versus controls NR in cases versus controls
12Mathilda Mandel, 2020, IsraelCytokineProspective, non-randomized studyCovid +ve = 71 (mean 62 yrs), HC = 20, (mean 48.9 yrs)IL-1β (p = 0.03), IL-6, and TNF-α were higher in case than controls, IL-6 and TNF-α were significantly higher in patients that did not surviveIL-1β = 0.67 ± 1.38, 0.31;
IL-6 = 117.24 ± 229.48, 39.65;
TNF-α = 22.88 ± 12.15, 19.09.
IL1β (0.10 ± 0.15, 0.03);
IL6 (1.80+ ± 0.88, 1.61);
TNF-α (9.92 ± 2.04; 9.65).
13Sophie Stukas, 2020, Canada Critical Care ExplorationsMulticenter prospective observational studyCovid + ve = 26, (70 yrs) HC = 22 (65 yrs)IL-6 and TNF-α (p = 0.03) were increased more in cases than controls, however, IL-β was not significantly different among groupsIL-1β = 0.19 (0.16–0.59);
IL-6 = 79.9 (27.7–200);
TNF-α = 10.2 (6.05–16.9)
IL-1β = 0.23 (0.082–0.40);
IL-6 = 65.0 (25.2–154);
TNF-α= 6.16 (4.09–10.0)
14Laura Bergamaschi, 2021, UKImmunitySingle center cohort studyCovid + ve = 246 (18–60 yrs), HC = 45 (65 yrs)All cytokines were significantly elevated in cases group than control groups (p < 0.0005)NR in cases versus controls NR in cases versus controls
15Arulkumaran, Nishkantha, 2021, IndiaCritical care explorationsObservational studyCovid + ve = 86 (Mild = 44, Severe = 42, 48–73 yrs), HC = 7 (28–49 yrs)IL-1β and TNF-α were higher in controls than cases, and IL-6 was higher in cases than controlsNR in cases versus controls NR in cases versus controls
Table legends: Covid + ve = confirmed COVID-19 patients with RT-PCR.
Table 3. Data showing association between periodontitis and COVID-19 and if periodontitis worsens COVID-19 severity.
Table 3. Data showing association between periodontitis and COVID-19 and if periodontitis worsens COVID-19 severity.
S NoAuthor, Year, CountryJournal, Study TypeCOVID + ve, COVID-ve, Periodontitis, No Periodontitis Subjects
(N)
Association/
No Association
Periodontitis Worsens
COVID-19 Disease Outcome
1Shipra Gupta,
2022, India
Clinical oral investigations, cross-sectional analytical study82, NR,
65, 27
Association Yes
2Pradeep S. Anand, 2021, India Journal of Periodontology, case-control study79, 71,
79, Nil
Association NR
3Yi Wang, 2021, ChinaJournal of Translational Medicine, Mendelian randomization study1299010; NR,
975; NR
Association Yes
4Supriya Mishra, 2022, IndiaDentistry Journal, cross-sectional study294, NR,
149, 66
Association Yes
5Nora Alnomay, 2022, Saudi ArabiaSaudi Dental Journal, retrospective
cohort study
188, NR,
99, 89
Association Yes
7Avineet Kaur, 2022, IndiaJournal of Family Medicine and Primary Care, Comparative study116, NR, 81% (covid + ve in hospital) 46.2% (covid- + ve home quarantine); NRAssociation Yes
8Panagiotis Gardelis, 2022, Switzerland Clinical and Experimental Dental Research, Pilot study30, NR, 30, NRAssociation Yes
9Boy M. Bachtiar, 2022, IndonesiaSaudi dental journal, crosssectional study23, 6, 6 NRUnclear associationNR
10Camila Alves Costa,
2022, Brazil
Journal of
Periodontology, prospective study
128, NR, 46, 8Association Yes
11H. Larvin,2021, UKJournal of Dental Research, retrospective longitudinal study14466, NR,
6631, 35154
Association Yes
12S. Wadhwa, 2022, USASaudi Dental Journal, retrospective study387, 387,
Unclear, NR
Association Yes
13Harriet Larvin, 2020, UKFrontiers in Medicine, retrospective study1616, 11637,
2100, 11153
Association Yes
14Israel Guardado-Luevanos, 2022, MexicoInternational Journal of Environmental Research and Public Health, case-control
study
117, 117,
42, 56
Association Yes
Table legends: Covid + ve = confirmed COVID-19 patients with RT-PCR.
Table 4. Scope for further research and unanswered questions.
Table 4. Scope for further research and unanswered questions.
Scope for Further Research and Unanswered Questions
Chemical profile
-Report the cytokine range in population of specific age groups
-Familial H/o inflammatory comorbidities that influence cytokine level in the same
patients with COVID-19 infection/periodontitis
-If the COVID-19 infection altered the GCF/gingival cytokine concentration
-Cytokine serum level threshold beyond which the patient dies.

Disease outcome
-Respiratory symptoms corresponding to the serum cytokine level
-PD/CAL/defect size corresponding to the serum cytokine level
-Patterns in bone loss corresponding to the serum cytokine levels
-Influence of serum cytokine levels on the disease prognosis

Disease management
-Occurrence of coronavirus in intrabony defects/gingival tissues
-Occurrence of periodontopathic bacteria in the lung lesions of COVID-19-infected
subjects, and if it is increased with periodontitis severity
-If COVID-19/periodontitis increases the susceptibility to other inflammatory conditions
-If COVID-19 infection alters the periodontal treatment outcome/tissue healing/dental
implant stability
-Serum cytokine comparison among COVID-19/periodontitis/periodontitis + COVID-19
to find an association.
-If systemic anti-cytokine therapy could decrease disease severity
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Mootha, A. Is There a Similarity in Serum Cytokine Profile between Patients with Periodontitis or 2019-Novel Coronavirus Infection?—A Scoping Review. Biology 2023, 12, 550. https://doi.org/10.3390/biology12040550

AMA Style

Mootha A. Is There a Similarity in Serum Cytokine Profile between Patients with Periodontitis or 2019-Novel Coronavirus Infection?—A Scoping Review. Biology. 2023; 12(4):550. https://doi.org/10.3390/biology12040550

Chicago/Turabian Style

Mootha, Archana. 2023. "Is There a Similarity in Serum Cytokine Profile between Patients with Periodontitis or 2019-Novel Coronavirus Infection?—A Scoping Review" Biology 12, no. 4: 550. https://doi.org/10.3390/biology12040550

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