Effect of nutrient deprivation on the expression and the epigenetic signature of sirtuin genes.

BACKGROUND AND AIM: Over the last decades advances in understanding the molecular bases of the close relationship between nutrition, metabolism, and diseases have been impressive. However, there are always novel frontiers coming up and epigenetics is one of these. Sirtuins, are pivotal factors in the control of metabolic pathways according to nutrient availability. In the present study we evaluated the effect of nutrient deprivation on expression, DNA methylation and chromatin status of the sirtuin genes. METHODS AND RESULTS: We performed these studies in mouse hepatoma cells, that were grown in standard medium, or in media containing low glucose concentration, or no glucose, or no amino acids. We applied quantitative real-time PCR to cDNA, methylation-enriched DNA and nuclease-treated DNA in order to evaluate gene expression, DNA methylation, and chromatin condensation, respectively. This study shows that the expression of sirtuin genes varies following nutrient deprivation. Moreover, we observed that changes of DNA methylation and chromatin condensation occur at the transcription start site of sirtuin genes following nutrient deprivation. CONCLUSIONS: Epigenetic mechanisms may have a role in the sirtuin response to nutrient deprivations in cultured hepatoma cells. Replicating these results in vivo to achieve a comprehensive understanding of the epigenetic control of sirtuin expression following nutrient deprivations might open up novel therapeutic possibilities to cure metabolic diseases and promote human health.

From neurocognition to community participation in serious mental illness: the intermediary role of dysfunctional attitudes and motivation.

BACKGROUND: Evidence for a relationship between neurocognition and functional outcome in important areas of community living is robust in serious mental illness research. Dysfunctional attitudes (defeatist performance beliefs and asocial beliefs) have been identified as intervening variables in this causal chain. This study seeks to expand upon previous research by longitudinally testing the link between neurocognition and community participation (i.e. time in community-based activity) through dysfunctional attitudes and motivation. METHOD: Adult outpatients with serious mental illness (N = 175) participated, completing follow-up assessments approximately 6 months after initial assessment. Path analysis tested relationships between baseline neurocognition, emotion perception, functional skills, dysfunctional attitudes, motivation, and outcome (i.e. community participation) at baseline and follow-up. RESULTS: Path models demonstrated two pathways to community participation. The first linked neurocognition and community participation through functional skills, defeatist performance beliefs, and motivation. A second pathway linked asocial beliefs and community participation, via a direct path passing through motivation. Model fit was excellent for models predicting overall community participation at baseline and, importantly, at follow-up. CONCLUSIONS: The existence of multiple pathways to community participation in a longitudinal model supports the utility of multi-modal interventions for serious mental illness (i.e. treatment packages that build upon individuals' strengths while addressing the array of obstacles to recovery) that feature dysfunctional attitudes and motivation as treatment targets.

Evaluation of COVID-19 impact on DELAYing diagnostic-therapeutic pathways of lung cancer patients in Italy (COVID-DELAY study): fewer cases and higher stages from a real-world scenario.

INTRODUCTION: COVID-19 has disrupted the global health care system since March 2020. Lung cancer (LC) patients (pts) represent a vulnerable population highly affected by the pandemic. This multicenter Italian study aimed to evaluate whether the COVID-19 outbreak had an impact on access to cancer diagnosis and treatment of LC pts compared with pre-pandemic time. METHODS: Consecutive newly diagnosed LC pts referred to 25 Italian Oncology Departments between March and December 2020 were included. Access rate and temporal intervals between date of symptoms onset and diagnostic and therapeutic services were compared with the same period in 2019. Differences between the 2 years were analyzed using the chi-square test for categorical variables and the Mann-Whitney U test for continuous variables. RESULTS: A slight reduction (-6.9%) in newly diagnosed LC cases was observed in 2020 compared with 2019 (1523 versus 1637, P = 0.09). Newly diagnosed LC pts in 2020 were more likely to be diagnosed with stage IV disease (P < 0.01) and to be current smokers (someone who has smoked more than 100 cigarettes, including hand-rolled cigarettes, cigars, cigarillos, in their lifetime and has smoked in the last 28 days) (P < 0.01). The drop in terms of new diagnoses was greater in the lockdown period (percentage drop -12% versus -3.2%) compared with the other months included. More LC pts were referred to a low/medium volume hospital in 2020 compared with 2019 (P = 0.01). No differences emerged in terms of interval between symptoms onset and radiological diagnosis (P = 0.94), symptoms onset and cytohistological diagnosis (P = 0.92), symptoms onset and treatment start (P = 0.40), and treatment start and first radiological revaluation (P = 0.36). CONCLUSIONS: Our study pointed out a reduction of new diagnoses with a shift towards higher stage at diagnosis for LC pts in 2020. Despite this, the measures adopted by Italian Oncology Departments ensured the maintenance of the diagnostic-therapeutic pathways of LC pts.

Optical Lace for Synthetic Afferent Neural Networks.

While vision dominates sensing in robots, animals with limited vision deftly navigate their environment using other forms of perception such as touch. Efforts have been made to apply artificial skins with tactile sensing to robots for similarly sophisticated mobile and manipulative skills. The ability to functionally mimic the afferent sensory neural network, required for distributed sensing and communication networks throughout the body is still missing. This limitation is partially due to the lack of cointegration of the mechanosensors in the body of the robot. In this paper, lacings of stretchable optical fibers distributed throughout 3D printed elastomer frameworks create a cointegrated body, sensing, and communication network. This soft, functional structure can localize deformation with sub-millimeter positional accuracy (Err = 0.71 mm), and sub-Newton force resolution (~0.3 N).