Sphingolipid accumulation causes mitochondrial dysregulation and cell death

Sphingolipids are structural components of cell membranes that have signaling roles to regulate many activities, including mitochondrial function and cell death. Sphingolipid metabolism is integrated with numerous metabolic networks, and dysregulated sphingolipid metabolism is associated with disease. Here, we describe a monogenic yeast model for sphingolipid accumulation. A csg2Δ mutant cannot readily metabolize and accumulates the complex sphingolipid inositol phosphorylceramide (IPC). In these cells, aberrant activation of Ras GTPase is IPC-dependent, and accompanied by increased mitochondrial reactive oxygen species (ROS) and reduced mitochondrial mass. Survival or death of csg2Δ cells depends on nutritional status. Abnormal Ras activation in csg2Δ cells is associated with impaired Snf1/AMPK protein kinase, a key regulator of energy homeostasis. csg2Δ cells are rescued from ROS production and death by overexpression of mitochondrial catalase Cta1, abrogation of Ras hyperactivity or genetic activation of Snf1/AMPK. These results suggest that sphingolipid dysregulation compromises metabolic integrity via Ras and Snf1/AMPK pathways

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution-individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic.Published versio

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multi-national data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar was found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-negligible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic

National identity predicts public health support during a global pandemic

Understanding collective behaviour is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported greater engagement in public health behaviours and support for public health policies in the context of the pandemic.Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national samples. Study 2 (N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic (r = -0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics

Ultra-structural changes and apoptotic activity in cerebellum of post-menopausal-diabetic rats: a histochemical and ultra-structural study

Diabetes mellitus (DM) is one of the most common and chronic diseases, especially in postmenopausal periods. Neuro-degeneration occurs more frequently in post-menopausal diabetics. Therefore, we investigated ovariectomized rats cerebellar cortex response to the estradiol deficiency and hyperglycemia. For the ovariectomy, the rats were bilaterally ovariectomized, and then DM induced by a single dose of Alloxan monohydrate injection in ovariectomy or/and diabetic groups. During light and electron microscopic examination, degenerated Purkinje cells membrane, swollen organelles, degenerated mitochondria, edema formation and vacuolization were seen in the ovariectomy and ovariectomy-diabetic groups sections. In addition, increased apoptotic activity was observed in the ovariectomy and ovariectomy-diabetic groups compared to the control group. We demonstrated that estradiol and insulin deficiency can affect the cerebellar cortex, which support the hypothesis that the execution of neuronal damages in post-menopausal diabetics. Also, diabetes and menopause are major risks factors for many disorders including nervous system and the number of postmenopausal-diabetics are increasing world-wide

Late treatment-related mortality versus competing causes of death after allogeneic transplantation for myelodysplastic syndromes and secondary acute myeloid leukemia

The causes and rates of late patient-mortality following alloHCT for myelodysplastic syndromes or secondary acute myeloid leukemia were studied, to assess the contribution of relapse-related, treatment-related, and population factors. Data from EBMT on 6434 adults, who received a first alloHCT from January 2000 to December 2012, were retrospectively studied using combined land-marking, relative-survival methods and multi-state modeling techniques. Median age at alloHCT increased from 49 to 58 years, and the number of patients aged ≥65 years at alloHCT increased from 5 to 17%. Overall survival probability was 53% at 2 years and 35% at 10 years post-alloHCT. Survival probability at 5 years from the 2-year landmark was 88% for patients &lt;45-year old and 63% for patients ≥65-year old at alloHCT. Cumulative incidence of nonrelapse mortality (NRM) for patients &lt;45-year old at transplant was 7% rising to 25% for patients aged ≥65. For older patients, 31% of NRM-deaths could be attributed to population mortality. Favorable post-alloHCT long-term survival was seen; however, excess mortality-risk for all age groups was shown compared to the general population. A substantial part of total NRM for older patients was attributable to population mortality, information which aids the balanced explanation of post-HCT risk and helps improve long-term care.</p