View clinical trials related to Epigenetic Changes.
Filter by:The goal of this observational study is to define a personalized risk model in the super healthy and homogeneous population of Italian Air Force high-performance pilots. This peculiar cohort conducts dynamic activities in an extreme environment, compared to a population of military people not involved in flight activity. The study integrates the analyses of biological samples (urine, blood, and saliva), clinical records, and occupational data collected at different time points and analyzed by omic-based approaches supported by Artificial Intelligence. Data resulting from the study will clarify many etiopathological mechanisms of diseases, allowing the creation of a model of analyses that can be extended to the civilian population and patient cohorts for the potentiation of precision and preventive medicine.
The current project seeks to explore the use of emergent biosensor technology to detect opioid use. The investigators goal is to recruit 60 opioid naïve patients presenting at the College of Dentistry at UTHSC. Candidate participants must be scheduled for an upcoming dental procedure that will involve subsequent pain management using oral opioid medication. Participants will be consented prior to any study procedures. All participant information from this study will be kept strictly confidential (e.g., no individual data will be shared with the College of Dentistry).
Approximately 2% of neonates in the US are born very preterm. Preterm births are associated with impaired cognitive, language and motor function, and increased risk for autism spectrum disorders. Epidemiological studies indicate a dose-response relationship between gestational age at delivery and cognitive impairments, with the most immature of newborns being the most susceptible to developmental delays. Sensitive and reproducible biomarkers of long-term neurocognitive impairments are currently lacking. The investigators seek to identify epigenetic markers that mediate the relationship between adverse prematurity-related exposures and neurocognitive impairments. The overarching hypothesis of this proposal is that DNA methylation profiles of CD34+ hematopoetic progenitor and stem cells from very preterm infants can be used as a risk-stratifying biomarker for predicting neurocognitive impairment in childhood.
Pregestational diabetes (PGD) during pregnancy may be associated with an increased rate of spontaneous abortions, intrauterine death and congenital anomalies among the offspring. Although the prevalence of congenital anomalies among the offspring of diabetic mothers is reduced as a result of the improvement of the glycemic control in the early pregnancy, the rate of congenital anomalies is increased and there seems to be an increased rate of neurodevelopmental disorders including some fine and gross motor deficits as well as increased rate of inattention and/or hyperactivity. In gestational diabetes, that develops in the second half of pregnancy (past the period of major organogenesis), there seems to be no increase in the rate of major congenital anomalies but there are some developmental disorders in the offspring. The exposure of the developing embryo and fetus to diabetic environment (i.e. hyperglycemia, hyperketonemia ext), is known to cause increased oxidative stress and significant changes in gene expression as observed in several experimental diabetic models. We hypothesize that diabetic environment may also cause long lasting epigenetic changes. It is therefore our purpose to evaluate these possible epigenetic changes and correlate their presence with the degree and time of onset of diabetes, (i.e. whether from the beginning as in PGD or in the second half of pregnancy as in GD), the degree of oxidative stress and with the neurodevelopmental outcome of the offspring. Diabetic pregnancies will be compared to a similar number of normal pregnancies in all parameters studied.