The risk of eating disorders following the August 4th, 2020 explosion in Beirut and its relationship with trauma exposure and PTSD symptoms.

INTRODUCTION: To date, no study has demonstrated the link between the diagnosis of provisional PTSD and ED in people exposed to the explosion of August 4th, 2020. METHODS: Online participants were classified into 4 categories according to the degree of exposure to the explosion (unexposed, slightly exposed, moderately exposed, and severely exposed). The screening for ED was done using the standardized SCOFF questionnaire and the screening for provisional PTSD using the standardized IES-R questionnaire. RESULTS: Our sample included 703 participants. In the bivariate analysis, there was a trend for an association between degree of exposure to the explosion and the risk of development of an ED (p = 0.055). The independent variables included in the multivariate analysis that were statistically associated with a risk of developing eating disorders are secondary school as the highest level of education (p = 0.029; OR = 2.15) and the risk of PTSD (p = 0.041; OR = 2.05) according to IES-R, specifically hyperarousal (p = 0.028; OR = 1.07) as a symptom cluster. Provisional PTSD played a mediating role, creating a partial and indirect relationship between the degree of exposure to the explosion and the risk of developing ED with a ß coefficient of 0.075 (p < 0.001) CONCLUSION: The risk of PTSD according to IES-R was found to be a determinant of a higher risk of developing ED among participants exposed to the explosion in addition to mediating between the effect of exposure severity and the risk of ED. It is essential to fully assess and manage PTSD symptoms and ED patients exposed to such a psychological trauma.

Polygenic and Network-based studies in risk identification and demystification of cancer.

INTRODUCTION: Diseases were initially thought to be the consequence of a single gene mutation. Advances in DNA sequencing tools and our understanding of gene behavior have revealed that complex diseases, such as cancer, are the product of genes cooperating with each other and with their environment in orchestrated communication networks. Seeing that the function of individual genes is still used to analyze cancer, the shift to using functionally interacting groups of genes as a new unit of study holds promise for demystifying cancer. AREAS COVERED: The literature search focused on three types of cancer, namely breast, lung, and prostate, but arguments from other cancers were also included. The aim was to prove that multigene analyses can accurately predict and prognosticate cancer risk, subtype cancer for more personalized and effective treatments, and discover anti-cancer therapies. Computational intelligence is being harnessed to analyze this type of data and is proving indispensable to scientific progress. EXPERT OPINION: In the future, comprehensive profiling of all kinds of patient data (e.g. serum molecules, environmental exposures) can be used to build universal networks that should help us elucidate the molecular mechanisms underlying diseases and provide appropriate preventive measures, ensuring lifelong health and longevity.