Application of geographic information systems and simulation modelling to dental public health: Where next?

Public health research in dentistry has used geographic information systems since the 1960s. Since then, the methods used in the field have matured, moving beyond simple spatial associations to the use of complex spatial statistics and, on occasions, simulation modelling. Many analyses are often descriptive in nature; however, and the use of more advanced spatial simulation methods within dental public health remains rare, despite the potential they offer the field. This review introduces a new approach to geographical analysis of oral health outcomes in neighbourhoods and small area geographies through two novel simulation methods-spatial microsimulation and agent-based modelling. Spatial microsimulation is a population synthesis technique, used to combine survey data with Census population totals to create representative individual-level population datasets, allowing for the use of individual-level data previously unavailable at small spatial scales. Agent-based models are computer simulations capable of capturing interactions and feedback mechanisms, both of which are key to understanding health outcomes. Due to these dynamic and interactive processes, the method has an advantage over traditional statistical techniques such as regression analysis, which often isolate elements from each other when testing for statistical significance. This article discusses the current state of spatial analysis within the dental public health field, before reviewing each of the methods, their applications, as well as their advantages and limitations. Directions and topics for future research are also discussed, before addressing the potential to combine the two methods in order to further utilize their advantages. Overall, this review highlights the promise these methods offer, not just for making methodological advances, but also for adding to our ability to test and better understand theoretical concepts and pathways

Reducing creatine kinase-MB levels following oxytocin administration during ischemia-reperfusion periods in isolated rat heart

Background: Creatine kinase is a cardiac biomarker that is used for the assessment of ischemic injuries and myocardial infarction. The present study was designed to evaluate effects of oxytocin administration during ischemia and reperfusion periods on CK-MB levels in the coronary effluent of isolated rat heart and the possible role of oxytocin receptor, nitric oxide (NO), prostacyclin and mitochondrial ATP-dependent potassium channels in this regard. Methods: Male wistar rats (n=8) were anesthetized with sodium thiopental and their hearts were transferred to a Langendorff perfusion apparatus. All animals were randomly divided into nine groups as follow in the ischemia-reperfusion group, hearts underwent 30 min of regional ischemia followed by 120 min of reperfusion. In oxytocin group, hearts were perfused with oxytocin 5 min after ischemia induction for 25 min. In other groups, 35 min prior to oxytocin perfusion, atosiban (a non-specific oxytocin receptor blocker), L-NAME (an NO synthase inhibitor), indomethacin (a non-specific cyclooxygenase blocker) and 5-HD (a specific mKATP channel blocker) were perfused for 10 min. In all groups, we measured CK-MB levels in the coronary effluent at the end of reperfusion. Moreover, coronary flow (mL/min) was measured at baseline, during ischemia period and 60 and 120 min after reperfusion. Results: Oxytocin administration significantly reduced CK-MB level in oxytocin group as compared to ischemia-reperfusion group. Administration of atosiban, L-NAME, indomethacin and 5-HD prior to oxytocin perfusion abolished the effects of oxytocin on CK-MB levels. Conclusion: Administration of oxytocin during ischemia and reperfusion periods deceased CK-MB levels but infusion of atosiban, L-NAME, 5-HD and indomethacin inhibited oxytocin from exerting its effects

The role of nitrergic system in antidepressant effects of acute administration of zinc, magnesium and thiamine on progesterone induced postpartum depression in mice

"nBackground: Postpartum depression is a mood disorder that has harmful effects on mothers, infants, family and relationships. Acute decrease of progesterone after delivery has been proposed as a cause for postpartum depression. This hormone can affect neurotransmitters' function. Zinc (Zn) and magnesium (Mg) as trace elements exert their antidepressant effects through neurotransmitter pathways. On the other hand, thiamin (Vit B1) deficiency leads to depression in animal models. The aim of this study was to evaluate effects of combination of zinc, magnesium and thiamine on postpartum depression and role of nitrergic system. "n"nMethods: One hundred ten female mice in five groups were used. Postpartum depression was conducted using progesterone injections. Combinations of Zinc chloride, magnesium chloride and thiamine HCL were administered 30 minutes before open field and forced swimming test (FST). In order to investigate role of nitrergic system, L-arginine and LNAME were administered. "n"nResults: All treatment groups spent less immobility time than the control group (p< 0.05). Combined administration of Zn+ Mg+ Vit B1 caused the most reduction in immobility time. Administration of L-NAME in Zn+ Mg+ Vit B1 group caused reduction in immobility time while administration of L-arginine caused increase in immobility time in the same group. "nConclusion: Zinc, magnesium and thiamine can improve depressive symptoms by nitrergic pathway. These elements as supplement compounds could be alternatives for antidepressants in postpartum period