Role of proinflammatory mutations in peri-implantitis: systematic review and meta-analysis

Mendoza, Irene Lafuente‐Ibáñez de; Setien-Olarra, Amaia; García-De-La-Fuente, Ana M; Aguirre‐Urízar, José Manuel; Marichalar-Mendía, Xabier

doi:10.1186/s40729-022-00400-y

Cited by 15 publications

(14 citation statements)

References 36 publications

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“… 4 , 5 , 6 , 7 The presence of keystone pathogenic species with the potential to cause dysbiotic disease, coupled with variations in genes that encode the componentry of the host's immune system, sets the stage for individual differences in periodontitis risk. 8 , 9 Less is known about the heterogeneous infection that includes periodontopathic microorganisms 10 and an individual's genetic susceptibility 11 , 12 in relation to peri‐implantitis risk. It is apparent that periodontal and peri‐implant diseases have a complex pathogenesis and are multifactorial in etiology.…”

Section: Introductionmentioning

confidence: 99%

Mental health and periodontal and peri‐implant diseases

Ball

Darby

2022

Periodontology 2000

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coping with daily life. Anxiety disorders are characterized by feelings of anxiety and fear. They can be broadly described as a group of disorders in which anxiety is induced in situations that may or may not be well defined. These situations often produce a feeling of strong avoidance, or they are endured with apprehension. Examples of physical symptoms include palpitations, shortness of breath, or feeling faint, and they are often accompanied with irrational thoughts, such as fears of dying, losing control, or going mad. Anxiety and depression are often coexistent conditions. 23 Data from 2015 indicate the prevalence of depression to be 4.4%, and more prevalent in females. This is roughly 322 million people worldwide. Prevalence appears to peak around older adulthood, 55-74 years. Between 2005 and 2015 there was an 18.4% increase in the number of people living with depression. In the United States in 2009, US$22.8 billion were spent on the treatment of depression with the loss of productivity estimated at US$23 billion in 2011. 24 The prevalence of anxiety disorders is around 3.6% and again more common in females, equating to 264 million people worldwide.Interestingly, prevalence does not vary considerably between age groups. The largest single contributor to nonfatal health loss is depressive disorders. 25 Mental health disorders have been associated with cardiovascular disease and diabetes mellitus. This may be through lifestyle factors, such as smoking, reduced activity, poor diet, obesity, hypertension, or a lack of adherence to health programs or advice commonly seen in patients with mental health disorders. Though biological effects may be due to alterations in neurotransmitter and hormone levels such as serotonin and cortisol, which influence the immune response, systemic inflammation may also play a role through bidirectional relationships. 26 Risk factors for depression in adults include sex, age, race/ethnicity, education, marital status, geographic location, employment status, chronic illness, substance abuse, and family history of psychiatric illness. 24 Exposure to traumatic childhood events is now recognized as an antecedent to future major depressive disorder. The risk factors in older adults are slightly different and reflect a greater age. They include disability, complicated grief, chronic sleep disturbance, loneliness, and a history of depression. Different factors may influence the relapse and recurrence of depression than those that influenced the initial onset. Moreover, major depressive disorder is associated with poorer health and earlier death. This includes a higher prevalence of heart disease, diabetes, obesity, cognitive impairment, disability, and cancer. In addition, unhealthy lifestyles are common, with poorer self-care and adverse effects of medications. | Biological mechanisms to explain mental health disordersNo established mechanism can explain all aspects of depression. 27 Major depressive disorder clusters within families, with a threefold risk for first-degree relatives and...

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Section: Introductionmentioning

confidence: 99%

Mental health and periodontal and peri‐implant diseases

Ball

Darby

2022

Periodontology 2000

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“…For the selection of the specifics SNPs, a systematic review of the literature was carried out [ 5 ] as well as an in-depth study on the presence of SNPs in the Caucasian population of the Basque County. only those related to the inflammatory response and bone metabolism made the final cut.…”

Section: Methodsmentioning

confidence: 99%

“…Given that not all individuals with this background develop PI [ 2 , 4 ], a facilitating genetic susceptibility could explain the development this disorder in some individuals [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Genetic polymorphisms of inflammatory and bone metabolism related proteins in a population with dental implants of the Basque Country. A case-control study

Lafuente-Ibáñez-de-Mendoza,

Marichalar-Mendia,

Setién-Olarra

et al. 2024

BMC Oral Health

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Background Peri-implantitis (PI) is a frequent inflammatory disorder characterised by progressive loss of the supporting bone. Not all patients with recognised risk factors develop PI. The aim of this study is to evaluate the presence of single nucleotide polymorphisms (SNP) of inflammatory and bone metabolism related proteins in a population treated with dental implants from the Basque Country (Spain). Methods We included 80 patients with diagnosis of PI and 81 patients without PI, 91 women and 70 men, with a mean age of 60.90 years. SNPs of BMP-4, BRINP3, CD14, FGF-3, FGF-10, GBP-1, IL-1α, IL-1β, IL-10, LTF, OPG and RANKL proteins were selected. We performed a univariate and bivariate analysis using IBM SPSS® v.28 statistical software. Results Presence of SNPs GBP1 rs7911 (p = 0.041) and BRINP3 rs1935881 (p = 0.012) was significantly more common in patients with PI. Patients with PI who smoked (> 10 cig/day) showed a higher presence of OPG rs2073617 SNP (p = 0.034). Also, BMP-4 rs17563 (p = 0.018) and FGF-3 rs1893047 (p = 0.014) SNPs were more frequent in patients with PI and Type II diabetes mellitus. Conclusions Our findings suggest that PI could be favoured by an alteration in the osseointegration of dental implants, based on an abnormal immunological response to peri-implant infection in patients from the Basque Country (Spain).

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“…Risk factors for periodontitis include environmental factors (smoking, pathogens, socioeconomic), systemic factors (diabetes, other in ammation, stress, obesity), and genetic factors [3][4][5]. With the development of genetics and epigenetics, people have tried to determine the relationship between the occurrence of genetic polymorphisms, gene expression and susceptibility to certain diseases [6,7]. In recent years, there has been increasing evidence that genetic changes affect periodontitis susceptibility [8].…”

Section: Introductionmentioning

confidence: 99%

Mendelian randomized integration of GEO and eQTL data revealed genes associated with periodontitis

Jiang,

Ni,

et al. 2024

Preprint

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Objective With the development of genetics and epigenetics, there is increasing evidence that genetic changes influence susceptibility to periodontitis. In this study, Mendelian randomization was used in combination with multi-omics data to determine the causal effect of genes in periodontitis. Methods In this study, the RNA-seq dataset of periodontitis was downloaded from GEO database, and the differentially expressed genes in periodontitis were screened by differential analysis. The genes with significant causal relationship with periodontitis were screened by MR Analysis. Further, the differential expression of periodontitis genes and periodontitis-related genes were intersected to obtain the hub genes related to periodontitis. In addition, ROC curve, pearson correlation analysis and CIBERSORT algorithm were also used in this study to explore the efficiency of hub gene diagnosis and immune cell correlation analysis. Results Four hub genes (SELL, PLXDC2, C4A, and HSPG2) were obtained by differential expression analysis and MR Analysis in this study. Where HSPG2 (OR = 1.279, 95%CI: 1.087 to 1.504, P = 0.003) and PLXDC2 (OR = 1.259, 95%CI: 1.013 to 1.565, P = 0.038) were positively correlated with periodontitis. However, C4A (OR = 0.843 95%CI: 0.741 to 0.959, P = 0.009) and SELL (OR = 0.903, 95%CI: 0.825 to 0.989, P = 0.028) were negatively correlated with periodontitis. Pearson correlation analysis showed that hub genes were significantly correlated with immune cell infiltration. Conclusion This multi-omics integration study identifies a causal relationship between four hub genes and periodontitis and provides potential new therapeutic targets for clinical practice.

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Role of proinflammatory mutations in peri-implantitis: systematic review and meta-analysis

Cited by 15 publications

References 36 publications

Mental health and periodontal and peri‐implant diseases

Mental health and periodontal and peri‐implant diseases

Genetic polymorphisms of inflammatory and bone metabolism related proteins in a population with dental implants of the Basque Country. A case-control study

Mendelian randomized integration of GEO and eQTL data revealed genes associated with periodontitis

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