TRAF Family Member-Associated NF-KB Activator (TANK) Gene Polymorphism in Chronic Periodontitis and Peri-implantitis Patients

Kadkhodazadeh, Mahdi; Amid, Reza; Ebadian, Ahmad Reza; Shams, Elahe; Tamizi, Mahmood

doi:10.1615/jlongtermeffmedimplants.v22.i2.30

Cited by 4 publications

(2 citation statements)

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“…Twenty studies investigated the microbiological profile of dental implants (Table 1) and 19 studies investigated the human immune response (Table 5). Two studies investigate gene polymorphism 20,21 . Among those studies 1 study investigated both microbiological profile and human immune response from same subjects, 22 and 1 study investigated the human immune response and genes polymorphisms in the same subjects 23 …”

Section: Resultsmentioning

confidence: 99%

“…Of 3 cross‐sectional studies investigating gene polymorphism (Table 7), 20,21,23 2 were conducted in Iranian populations 20,21 and 1 study targeted Brazilian population 23 . These studies investigated polymorphisms in the following genes IL‐1β and IL‐ 6, 23 TANK, 20 and SLC11A1 21 (Tables 7, 8). Collectively, there was no correlation between any gene polymorphisms and the pathogenesis of peri‐implantitis.…”

Section: Human Immune Responsementioning

confidence: 99%

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Microbiological Profile and Human Immune Response Associated with Peri‐Implantitis: A Systematic Review

Kensara

Hefni

Williams

et al. 2020

Journal of Prosthodontics

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Purpose To evaluate and synthesize the existing evidence on the microbiological and human immune response associated with peri‐implantitis in comparison to healthy implants. Materials and methods Three electronic databases (MEDLINE, Embase, and Cochrane Library) were searched in October 2019 to identify clinical studies evaluating the microbiota and the immune response associated with peri‐implantitis. Two reviewers independently screened the studies and used the full text to extract the data. A qualitative synthesis was performed on the extracted data and summary tables were prepared. Due to clinical and methodological heterogeneity among included studies, no meta‐analysis was performed. Results Forty studies were included in this review. Of these, 20 studies compared the microbiological profile of peri‐implantitis with healthy implants. Nineteen studies focused on the immune response associated with peri‐implantitis in comparison to healthy implants. Three studies focus on gene polymorphism associated with peri‐implantitis. The most commonly reported bacteria associated with peri‐implantitis were obligate anaerobe Gram‐negative bacteria (OAGNB), asaccharolytic anaerobic Gram‐positive rods (AAGPRs), and other Gram‐positive species. In regard to immune response, the most frequently reported pro‐inflammatory mediators associated with peri‐implantitis were IL‐1β, IL‐6, IL‐17, TNF‐α. Osteolytic mediator, e.g., RANK, RANKL, Wnt5a and proteinase enzymes, MMP‐2, MMP‐9, and Cathepsin‐K were also expressed at higher level in peri‐implantitis sites compared to control. Conclusions Peri‐implantitis is associated with complex and different microbiota than healthy implants including bacteria, archaea, fungi, and virus. This difference in the microbiota could provoke higher inflammatory response and osteolytic activity. All of this could contribute to the physiopathology of peri‐implantitis.

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Section: Resultsmentioning

confidence: 99%

Section: Human Immune Responsementioning

confidence: 99%

Microbiological Profile and Human Immune Response Associated with Peri‐Implantitis: A Systematic Review

Kensara

Hefni

Williams

et al. 2020

Journal of Prosthodontics

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Genetic Risk Factors for the Development of Periimplantitis

Fourmousis

Vlachos²

2019

Implant Dentistry

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Identification of a 14-Gene Prognostic Signature for Diffuse Large B Cell Lymphoma (DLBCL)

Feng

Li²,

Pei

et al. 2021

Front. Genet.

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Although immunotherapy is a potential strategy to resist cancers, due to the inadequate acknowledge, this treatment is not always effective for diffuse large B cell lymphoma (DLBCL) patients. Based on the current situation, it is critical to systematically investigate the immune pattern. According to the result of univariate and multivariate cox proportional hazards, LASSO regression and Kaplan-Meier survival analysis on immune-related genes (IRGs), a prognostic signature, containing 14 IRGs (AQP9, LMBR1L, FGF20, TANK, CRP, ORM1, JAK1, BACH2, MTCP1, IFITM1, TNFSF10, FGF12, RFX5, and LAP3), was built. This model was validated by external data, and performed well. DLBCL patients were divided into low- and high-risk groups, according to risk scores from risk formula. The results of CIBERSORT showed that different immune status and infiltration pattern were observed in these two groups. Gene set enrichment analysis (GSEA) indicated 12 signaling pathways were significantly enriched in the high-risk group, such as natural killer cell-mediated cytotoxicity, toll-like receptor signaling pathway, and so on. In summary, 14 clinically significant IRGs were screened to build a risk score formula. This formula was an accurate tool to provide a certain basis for the treatment of DLBCL patients.

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TRAF Family Member-Associated NF-KB Activator (TANK) Gene Polymorphism in Chronic Periodontitis and Peri-implantitis Patients

Cited by 4 publications

References 0 publications

Microbiological Profile and Human Immune Response Associated with Peri‐Implantitis: A Systematic Review

Microbiological Profile and Human Immune Response Associated with Peri‐Implantitis: A Systematic Review

Genetic Risk Factors for the Development of Periimplantitis

Identification of a 14-Gene Prognostic Signature for Diffuse Large B Cell Lymphoma (DLBCL)

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