RNA from melanoma cells (WM3734 stably infected with shKDM5B or as control scramble (SCR)5 was extracted with Trizol reagent, followed by clean-up and DNase I treatment with Qiagen RNeasy mini kit in accordance with the prescribed protocol provided with the kit. Micorarray transcriptional analysis was performed using the HumanWG-6 v3.0 expression BeadChip sytem (Illumina, San Diego, CA, USA) at the Wistar Genomics facility. The data were processed with Illumina GenomeStudio Gene Expression Module version 2009.2 using defaults.
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However, health-related metacognitive beliefs mediated by distress tolerance had no significant effect on coronavirus anxiety which was against our proposed theoretical model. Some authors have argued that distress tolerance can play an important role in the formation and persistence of some mental disorders (Robinson et al., 2019). Also, studies on COVID-19 have suggested that lower distress tolerance is associated with an increased risk of depression, anxiety, and PTSD symptoms (Liu et al., 2020; Wright et al., 2020). Yet, our findings showed that distress tolerance did not significantly influence the formation of coronavirus-related anxiety. In particular, the current data are consistent with Sauer et al.'s (2020) findings, which showed that distress tolerance does not affect the development of health and coronavirus anxiety. Our study and Sauer et al.'s (2020) study both used a self-report measure of emotional DT; however, if a measure focusing on the behavioral component of DT was used, future research might find a significant pattern. However, our findings suggest that COVID-19 anxiety may develop regardless of how a person can tolerate negative emotional states; it is more cognitive and about persisting on chains of maladaptive thinking and worry. There may be another cause for the insignificant link between emotional DT and coronavirus anxiety in the tested model despite the significant bivariate correlation between these two variables. It may be due to the inclusion of metacognitive beliefs as a predictor of DT in the model. Considered as a whole, additional research is required to determine whether DT types (e.g., behavioral) would alter the results and, if not, whether metacognitive beliefs are more relevant than distinct types of DT.
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