COVID-19 and the effect of its infodemic on people’s wellbeing

In this research, it was used to look at social media behaviour during the pandemic and how it might have affected well-being. The WHO-5 Well-Being Index (WHO-5) score was used to do this. COVID-19-related material was sought for and disseminated through social media by those who participated in the study. This research shows how social media might affect people's well-being during this epidemic and other crisis in the future. 73 percent of the 993 participants were women, 91 percent were university graduates, and 50 percent worked in diverse occupations, with 20 percent working in health care. Participants said they got COVID-19-related news mostly via social media and messaging apps, with WhatsApp being the most popular. After authentication, the majority of participants said they shared information. Throughout the coronavirus pandemic, this research offers insight into the usage of Social Media and its influence on well-being. During catastrophes and disasters, social media behaviours may have an influence on public safety. There is also a need for global and local health authorities to better prepare for future challenges by developing policies and actions that address these difficulties. Social media activities may directly affect one's mental health, but more research is required before conclusions can be drawn

PI3K/AKT/mTOR inhibition in combination with doxorubicin is an effective therapy for leiomyosarcoma.

BackgroundLeiomyosarcoma (LMS) is a common type of soft tissue sarcoma that responds poorly to standard chemotherapy. Thus the goal of this study was to identify novel selective therapies that may be effective in leiomyosarcoma by screening cell lines with a small molecule library comprised of 480 kinase inhibitors to functionally determine which signalling pathways may be critical for LMS growth.MethodsLMS cell lines were screened with the OICR kinase library and a cell viability assay was used to identify potentially effective compounds. The top 10 % of hits underwent secondary validation to determine their EC50 and immunoblots were performed to confirm selective drug action. The efficacy of combination drug therapy with doxorubicin (Dox) in vitro was analyzed using the Calcusyn program after treatment with one of three dosing schedules: concurrent treatment, initial treatment with a selective compound followed by Dox, or initial treatment with Dox followed by the selective compound. Single and combination drug therapy were then validated in vivo using LMS xenografts.ResultsCompounds that targeted PI3K/AKT/mTOR pathways (52 %) were most effective. EC50s were determined to validate these initial hits, and of the 11 confirmed hits, 10 targeted PI3K and/or mTOR pathways with EC50 values <1 μM. We therefore examined if BEZ235 and BKM120, two selective compounds in these pathways, would inhibit leiomyosarcoma growth in vitro. Immunoblots confirmed on-target effects of these compounds in the PI3K and/or mTOR pathways. We next investigated if there was synergy with these agents and first line chemotherapy doxorubicin (Dox), which would allow for earlier introduction into patient care. Only combined treatment of BEZ235 and Dox was synergistic in vitro. To validate these findings in pre-clinical models, leiomyosarcoma xenografts were treated with single agent and combination therapy. BEZ235 treated xenografts (n = 8) demonstrated a decrease in tumor volume of 42 % whereas combining BEZ235 with Dox (n = 8) decreased tumor volume 68 % compared to vehicle alone.ConclusionsIn summary, this study supports further investigation into the use of PI3K and mTOR inhibitors alone and in combination with standard treatment in leiomyosarcoma patients

CACHE (Critical Assessment of Computational Hit-finding Experiments): A public–private partnership benchmarking initiative to enable the development of computational methods for hit-finding

One aspirational goal of computational chemistry is to predict potent and drug-like binders for any protein, such that only those that bind are synthesized. In this Roadmap, we describe the launch of Critical Assessment of Computational Hit-finding Experiments (CACHE), a public benchmarking project to compare and improve small-molecule hit-finding algorithms through cycles of prediction and experimental testing. Participants will predict small-molecule binders for new and biologically relevant protein targets representing different prediction scenarios. Predicted compounds will be tested rigorously in an experimental hub, and all predicted binders as well as all experimental screening data, including the chemical structures of experimentally tested compounds, will be made publicly available and not subject to any intellectual property restrictions. The ability of a range of computational approaches to find novel binders will be evaluated, compared and openly published. CACHE will launch three new benchmarking exercises every year. The outcomes will be better prediction methods, new small-molecule binders for target proteins of importance for fundamental biology or drug discovery and a major technological step towards achieving the goal of Target 2035, a global initiative to identify pharmacological probes for all human proteins. [Figure not available: see fulltext.

Small molecule epigenetic screen identifies novel EZH2 and HDAC inhibitors that target glioblastoma brain tumor-initiating cells

Glioblastoma (GBM) is the most lethal and aggressive adult brain tumor, requiring the development of efficacious therapeutics. Towards this goal, we screened five genetically distinct patient-derived brain-tumor initiating cell lines (BTIC) with a unique collection of small molecule epigenetic modulators from the Structural Genomics Consortium (SGC). We identified multiple hits that inhibited the growth of BTICs in vitro, and further evaluated the therapeutic potential of EZH2 and HDAC inhibitors due to the high relevance of these targets for GBM. We found that the novel SAM-competitive EZH2 inhibitor UNC1999 exhibited low micromolar cytotoxicity in vitro on a diverse collection of BTIC lines, synergized with dexamethasone (DEX) and suppressed tumor growth in vivo in combination with DEX. In addition, a unique brain-penetrant class I HDAC inhibitor exhibited cytotoxicity in vitro on a panel of BTIC lines and extended survival in combination with TMZ in an orthotopic BTIC model in vivo. Finally, a combination of EZH2 and HDAC inhibitors demonstrated synergy in vitro by augmenting apoptosis and increasing DNA damage. Our findings identify key epigenetic modulators in GBM that regulate BTIC growth and survival and highlight promising combination therapies

C9ORF72 interaction with cofilin modulates actin dynamics in motor neurons.

Intronic hexanucleotide expansions in C9ORF72 are common in amyotrophic lateral sclerosis (ALS) and frontotemporal dementia, but it is unknown whether loss of function, toxicity by the expanded RNA or dipeptides from non-ATG-initiated translation are responsible for the pathophysiology. We determined the interactome of C9ORF72 in motor neurons and found that C9ORF72 was present in a complex with cofilin and other actin binding proteins. Phosphorylation of cofilin was enhanced in C9ORF72-depleted motor neurons, in patient-derived lymphoblastoid cells, induced pluripotent stem cell-derived motor neurons and post-mortem brain samples from ALS patients. C9ORF72 modulates the activity of the small GTPases Arf6 and Rac1, resulting in enhanced activity of LIM-kinases 1 and 2 (LIMK1/2). This results in reduced axonal actin dynamics in C9ORF72-depleted motor neurons. Dominant negative Arf6 rescues this defect, suggesting that C9ORF72 acts as a modulator of small GTPases in a pathway that regulates axonal actin dynamics

Gender Differences in Multiple Task Performance among the Young and Old

Gender differences were investigated in multiple task performance among younger and older adults to determine whether there were differences in performance on dual-tasks which were considered ipsilateral or contralateral. Participants tapped with their right and left hands singularly, and performed a spatial rotation task and vocalization task in the dual-task conditions. Congruent with previous research, the findings indicate performance decrements for older adults in individual and dual task conditions when compared to younger adults. However, when gender is also considered, men appear to demonstrate the greatest changes in performance. The results provide data supporting the assertion that the difficulty older adults experience in dual-task conditions is a function of natural decreases in functional cerebral distance. Furthermore, the data provide preliminary indication regarding the potential for reallocation training as an intervention to minimize dual-task interference effects

Gender Differences In Multiple Task Performance Among The Young And Old

Gender differences were investigated in multiple task performance among younger and older adults to determine whether there were differences in performance on dual-tasks which were considered ipsilateral or contralateral. Participants tapped with their right and left hands singularly, and performed a spatial rotation task and vocalization task in the dual-task conditions. Congruent with previous research, the findings indicate performance decrements for older adults in individual and dual task conditions when compared to younger adults. However, when gender is also considered, men appear to demonstrate the greatest changes in performance. The results provide data supporting the assertion that the difficulty older adults experience in dual-task conditions is a function of natural decreases in functional cerebral distance. Furthermore, the data provide preliminary indication regarding the potential for reallocation training as an intervention to minimize dual-task interference effects