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Predictive Data Mining for Oral Cancer Treatment
Published in Biju Issac, Nauman Israr, Case Studies in Intelligent Computing, 2014
ere is not a single factor causing oral cancer but, rather, multiple factors. Oral malignancy is most likely caused by a combination of extrinsic and intrinsic factors acting in concert over a period of time. Its symptoms demonstrate that there is at least a contributing component related to a genetic susceptibility of the individual exposed to carcinogens and a potential for malignant transformation of the oral tissue. e epidemiologic data indicate that a strong correlation exists between the exposure to many potential carcinogens and the increased risk of oral cancer following long exposure or early exposure to these carcinogens. Many reports indicate that the age, gender, race, tobacco use, alcohol use (especially tobacco and alcohol in combination), presence of a synchronous cancer of the upper aerodigestive tract, poor nutritional status, infection with certain viruses, oral lichen planus, and immune deciencies all increase the relative risk for developing an oral cancer.
Interactions between Benzo(a)pyrene exposure and genetic polymorphisms of AhR signaling pathway on missed abortion
Published in International Journal of Environmental Health Research, 2023
Sha Liu, Mei Han, Jiayu Zhang, Jingru Ji, Yanfei Wu, Junni Wei
Interaction means that the combined exposures of two or more factors cause stronger (synergistic effects, enhanced effects) or weaker (antagonistic effects) effects than expected additive effects. More and more epidemiological evidences showed that there were complex interactions between environmental exposure and genetic susceptibility in many human diseases. When assessing the risk of disease, the potential interactions between the risk factors cannot be ignored. In our study, multivariate analysis did not show the association between the genetic polymorphism of ALDH3A1 rs887241 and missed abortion, but high-order interactions analysis suggested that there was gene–environment interaction between ALDH3A1 rs887241 and BPDE-DNA adducts. The combinations of high-risk interaction may increase the susceptibility to BaP, while the combinations of low-risk interaction may decrease the susceptibility to BaP. This finding suggesting that the occurrence of missed abortion was affected by multiple factors.
The genetic predisposition to obesity has no influence on waist circumference when screen time and sleep duration are adequate in children and adolescents
Published in European Journal of Sport Science, 2022
Caroline Brand, Ana Paula Sehn, Pâmela Ferreira Todendi, Andreia Rosane de Moura Valim, Vanessa Suñé Mattevi, Antônio García-Hermoso, Anelise Reis Gaya, Cézane Priscila Reuter
Identifying interactions between genetic variants and different lifestyle habits is important as it demonstrates that a genetic susceptibility to obesity may be modifiable by a healthy lifestyle. In this sense, the amount of sleep duration and screen time required to exert a positive influence on WC in the present study is in accordance with the recommendations for children and adolescents, that indicate as adequate sleep duration for children (6–13 years) 9–11 h/day, and for adolescents (14–17 years) 8–10 h/day (Hirshkowitz et al., 2015), while for screen time the recommendation is to spend less than 2 h/day in front of screens (American Academy of Pediatrics [AAP], 2001). Indeed, our findings demonstrate that when individuals comply with the sleep recommendation, the presence of the FTO polymorphism risk genotype was not positively associated with the WC. Thus, it is suggested that the moderation of sleep duration and screen time in this relationship can be explained by the fact that children and adolescents are allocating many hours in sedentary behaviours, consumption of unhealthy food, and inappropriate sleep, leading to consequences for health, such as adiposity accumulation (Guerra, de Farias Júnior, & Florindo, 2016; Norman et al., 2017). Therefore, the protective effect of adequate sleep duration observed in our finding may be explained by the fact that short sleep duration modifies the regulating hormones ghrelin and leptin that increase hunger and reduce satiety, causing a high caloric intake and consequently body mass increase. In addition, it is suggested that prolonged time spent in sedentary behaviour, that is, not present energy expenditure >1.5 METs seem to interfere in the body fat accumulation, due to high energy consumption (Robinson et al., 2017).