Periodontitis and placental growth factor in oral fluids are early pregnancy predictors of gestational diabetes mellitus

Chaparro, Alejandra; Zuñiga, E.; Varas-Godoy, Manuel; Albers, Daniela; Ramı́rez, Valeria; Hernández, Marcela; Kusanovic, Juan Pedro; Acuña-Gallardo, Stephanie; Rice, Gregory E.; Illanes, Sebastián E.

doi:10.1002/jper.17-0497

Cited by 23 publications

(18 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, in this study, we did not find significant differences between the periodontal clinical parameters in controls and GDM. On the other hand, oral fluids can be used as a surrogate source of plasmatic biomarkers as we have demonstrated recently for Placental Growth Factor (PlGF) [27].…”

Section: Discussionmentioning

confidence: 99%

“…In the last few years, we have explored the role of biomarkers in the periodontal tissue, specifically in GCF [25–27]. GCF is an inflammatory exudate secreted at the gingival margin, the periodontal pocket, or both, and it is composed of serum as well as different cell types such as leukocytes, desquamated epithelial cells, periodontium cells, bacteria and their byproducts, enzymes derived from the subgingival biofilm, and inflammatory mediators secreted by the host [27, 37–39]. To our knowledge this is the first time that EVs have been characterized in GCF, opening up new opportunities for their use as biomarkers for the prediction of GDM.…”

Section: Discussionmentioning

confidence: 99%

“…Gingival crevicular fluid (GCF), another type of oral fluid, is a serum exudate and/or transudate originated in the gingival sulcus that is exacerbated by the inflammation of periodontal tissues. It transports molecular biomarkers filtered from the systemic and local circulation, and as we have published before [25–27], the GCF can be used as a suitable source for biomarkers since it concentrates systemic circulation content and can be collected in a convenient and minimally-invasive manner. A proteomic analysis of GCF has demonstrated that most of the proteins in this oral fluid derive from extracellular exosomes [28], however, until now, there is no characterization of EVs in GCF.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Oral extracellular vesicles in early pregnancy can identify patients at risk of developing gestational diabetes mellitus

et al. 2019

Self Cite

View full text Add to dashboard Cite

Aim To isolate and characterize oral extracellular vesicles from gingival crevicular fluid at 11–14 weeks and evaluate their capacity to identify patients at risk of developing gestational diabetes mellitus. Methods A case-control study was conducted, including patients who developed gestational diabetes mellitus (n = 11) and healthy pregnant controls (n = 23). Obstetric and periodontal histories were recorded at 11–14 weeks of gestation, and samples of gingival crevicular fluid obtained. Extracellular vesicles were isolated from gingival crevicular fluid by ExoQuick. Nanoparticle tracking analysis, ELISA and transmission electron microscopy were used to characterize extracellular vesicles. Results Total extracellular vesicles isolated from gingival crevicular fluid were significantly higher in patients who developed gestational diabetes mellitus later in pregnancy compared to normoglycemic pregnant women (6.3x10 9 vs 1.7 x10 10 , p value = 0.0026), and the concentration of the extracellular vesicles delivered an area under the ROC curve of 0.81. The distribution size of extracellular vesicles obtained using ExoQuick was around 148 ± 57 nm. There were no significant differences in the periodontal status between cases and controls. The exosome transmembrane protein CD63 was also detected in the extracellular vesicles of gingival crevicular fluid. Conclusion We were able to isolate extracellular vesicles from gingival crevicular fluid using a method that is suitable to be applied in a clinical setting. Our results provide an insight into the potential capacity of first trimester oral extracellular vesicles as early biomarkers for the prediction of gestational diabetes mellitus in pre-symptomatic women.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Oral extracellular vesicles in early pregnancy can identify patients at risk of developing gestational diabetes mellitus

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…Many studies have used PISA for evaluation of periodontal conditions. Since PISA reflects the inflammation status of periodontal tissue, these studies focused on the correlation of PISA and systemic diseases [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43], or the correlation of PISA with novel disease markers [41][42][43][44][45][46][47][48]. In the present study, IRT analysis was used to set a cut-off point for the number of bleeding sites and the maximum values of PD in a single tooth.…”

Section: Discussionmentioning

confidence: 99%

Estimation of the Periodontal Inflamed Surface Area by Simple Oral Examination

Nomura

Morozumi

Numabe

et al. 2021

JCM

View full text Add to dashboard Cite

The periodontal inflamed surface area (PISA) is a useful index for clinical and epidemiological assessments, since it can represent the inflammation status of patients in one contentious variable. However, calculation of the PISA is difficult, requiring six point probing depth measurements with or without bleeding on probing on 28 teeth, followed by data input in a calculation program. More simple methods are essential for screening periodontal disease or in epidemiological studies. In this study, we tried to establish a convenient partial examination method to estimate PISA. Cross-sectional data of 254 subjects who completed active periodontal therapy were analyzed. Teeth that represent the PISA value were selected by an item response theory approach. The maxillary second molar, first premolar, and lateral incisor and the mandibular second molar and lateral incisor were selected. The sum of the PISAs of these teeth was significantly correlated with the patient’s PISA (R2 = 0.938). More simply, the sum of the maximum values of probing pocket depth with bleeding for these teeth were also significantly correlated with the patient’s PISA (R2 = 0.6457). The simple model presented in this study may be useful to estimate PISA.

show abstract

“…MMP-8, MMP-9, TRAP-5, and MPO demonstrates very high diagnostic accuracy in GCF for discriminating periodontitis, apical periodontitis, gingivitis and/or healthy periodontium, supporting their usefulness for PoC diagnostics (129, 142). Of interest, oral fluid biomarker analysis has shown usefulness in extraoral conditions or diseases (141, 142), whereas GCF placental and inflammatory markers proved the diagnostic potential for preeclampsia (145) and gestational diabetes mellitus in pre-symptomatic women (146), revealing new emerging spectra for oral fluid applications.…”

Section: Biologically-based Diagnostics and Therapeutics To Manage Ormentioning

confidence: 99%

Osteoimmunology of Oral and Maxillofacial Diseases: Translational Applications Based on Biological Mechanisms

et al. 2019

Self Cite

View full text Add to dashboard Cite

The maxillofacial skeleton is highly dynamic and requires a constant equilibrium between the bone resorption and bone formation. The field of osteoimmunology explores the interactions between bone metabolism and the immune response, providing a context to study the complex cellular and molecular networks involved in oro-maxillofacial osteolytic diseases. In this review, we present a framework for understanding the potential mechanisms underlying the immuno-pathobiology in etiologically-diverse diseases that affect the oral and maxillofacial region and share bone destruction as their common clinical outcome. These otherwise different pathologies share similar inflammatory pathways mediated by central cellular players, such as macrophages, T and B cells, that promote the differentiation and activation of osteoclasts, ineffective or insufficient bone apposition by osteoblasts, and the continuous production of osteoclastogenic signals by immune and local stromal cells. We also present the potential translational applications of this knowledge based on the biological mechanisms involved in the inflammation-induced bone destruction. Such applications can be the development of immune-based therapies that promote bone healing/regeneration, the identification of host-derived inflammatory/collagenolytic biomarkers as diagnostics tools, the assessment of links between oral and systemic diseases; and the characterization of genetic polymorphisms in immune or bone-related genes that will help diagnosis of susceptible individuals.

show abstract

Periodontitis and placental growth factor in oral fluids are early pregnancy predictors of gestational diabetes mellitus

Abstract: Within the limitations of the present study, the results support that first trimester maternal glycemia combined with GCF-PlGF concentrations could be a surrogate biomarker for the future development of GDM in pre-symptomatic women.

Cited by 23 publications

References 37 publications

Oral extracellular vesicles in early pregnancy can identify patients at risk of developing gestational diabetes mellitus

Oral extracellular vesicles in early pregnancy can identify patients at risk of developing gestational diabetes mellitus

Estimation of the Periodontal Inflamed Surface Area by Simple Oral Examination

Osteoimmunology of Oral and Maxillofacial Diseases: Translational Applications Based on Biological Mechanisms

Contact Info

Product

Resources

About