Dental, periodontal and salivary conditions in diabetic children associated with metabolic control variables and nutritional plan adherence.

AIM: Diabetes mellitus is a chronic disease that has manifestations other than alterations in endocrine regulation or in metabolic pathways. Several diseases of the oral cavity have been associated with diabetes mellitus type 1 and 2 in young people according to their evolution. Scarce information exists regarding the role of diabetes and its association with the oral health status in paediatric diabetic patients. The aims of the study were to assess the quality of saliva, saliva acidogenicity, dental caries experience, fluorosis and periodontal status in diabetic patients and to evaluate their relationship with metabolic control variables and nutritional plan adherence. MATERIALS AND METHODS: The study population consisted of 60 paediatric patients with both types of diabetes mellitus. Saliva testing included stimulated flow, pH (using pH indicator strips), buffer capacity and Snyder's Test. DMFT/dmft and dental caries experience were determined on the basis of ICDAS II codes. The periodontal status was assessed by PI and GI and fluorosis by FI. Nutritional plan adherence was established from the subscale "Dietary Control" of the Diabetes Self-Management Profile questionnaire. Medical Data was retrieved from the clinical registers in the Diabetic Clinic. RESULTS: We describe the main characteristics of the oral cavity related variables of our population that might guide the clinical practice in similar settings; we found a dmft/DMFT of 1.71 ± 1.74 and 0.64 ± 1.03, PI of 1.91 ± 0.75, GI of 0.50 ± 0.56 and a fluorosis prevalence of 61%. We identified several correlated variables, which indicate strong associations between the nutritional habits of the patients and co-occurrence of oral cavity physiopathological alterations. Several correlations were found between acidogenic activity of the saliva (Snyder Test) and the percentage of adherence to the nutritional plan and to the dmft index. Furthermore, a significant correlation between the buffering capacity of the saliva and the glycemic control of the participants was found. Neither an association nor a difference among means was found between treatment regime and the plaque index. CONCLUSION: The results of the present study concluded that there was a significant relationship between diabetes mellitus and an increased prevalence of oral cavity related diseases in the paediatric population. These are also associated with a poor adherence to the nutritional plan.

Current model systems for the study of preeclampsia.

Preeclampsia (PE) is a pregnancy complex disease, distinguished by high blood pressure and proteinuria, diagnosed after the 20th gestation week. Depending on the values of blood pressure, urine protein concentrations, symptomatology, and onset of disease there is a wide range of phenotypes, from mild forms developing predominantly at the end of pregnancy to severe forms developing in the early stage of pregnancy. In the worst cases severe forms of PE could lead to systemic endothelial dysfunction, eclampsia, and maternal and/or fetal death. Worldwide the fetal morbidity and mortality related to PE is calculated to be around 8% of the total pregnancies. PE still being an enigma regarding its etiology and pathophysiology, in general a deficient trophoblast invasion during placentation at first stage of pregnancy, in combination with maternal conditions are accepted as a cause of endothelial dysfunction, inflammatory alterations and appearance of symptoms. Depending on the PE multifactorial origin, several in vitro, in vivo, and in silico models have been used to evaluate the PE pathophysiology as well as to identify or test biomarkers predicting, diagnosing or prognosing the syndrome. This review focuses on the most common models used for the study of PE, including those related to placental development, abnormal trophoblast invasion, uteroplacental ischemia, angiogenesis, oxygen deregulation, and immune response to maternal-fetal interactions. The advances in mathematical and computational modeling of metabolic network behavior, gene prioritization, the protein-protein interaction network, the genetics of PE, and the PE prediction/classification are discussed. Finally, the potential of these models to enable understanding of PE pathogenesis and to evaluate new preventative and therapeutic approaches in the management of PE are also highlighted. Impact statement This review is important to the field of preeclampsia (PE), because it provides a description of the principal in vitro, in vivo, and in silico models developed for the study of its principal aspects, and to test emerging therapies or biomarkers predicting the syndrome before their evaluation in clinical trials. Despite the current advance, the field still lacking of new methods and original modeling approaches that leads to new knowledge about pathophysiology. The part of in silico models described in this review has not been considered in the previous reports.