La Scienza e l'immaginario

L’attività di divulgazione della cultura scientifica ha un ruolo fondamentale sulla società, sia in termini di applicazioni innovative che di pianificazione dell’ambiente. I ricercatori dell’IAS-CNR di Capo Granitola operano da anni nell’ambito della diffusione della cultura scientifica, attraverso processi complessi e percorsi di divulgazione in partnership con istituti scolastici del territorio, realizzando attività seminariali, convegni direttamente nelle scuole, nonché visite didattiche guidate degli alunni nei laboratori dell’Istituto ed esperimenti interdisciplinari sull’ambiente marino. Tali processi divulgativi si sono sviluppati creando numerosi percorsi, in maniera per certi aspetti analoga a quella per cui dalla mescolanza dei tre colori fondamentali si è in grado di ottenere un numero pressoché illimitato di tinte diverse. Lo scopo di questa “mescolanza” è stato quello di ottenere un ventaglio di competenze e strumentazioni che consentissero di indagare i differenti aspetti dell’ecosistema marino da diversi punti di vista ed in maniera sinergica, tale da restituire un quadro il più ricco possibile di “tinte” e particolari. (Scienza e arte di Salvatore Mazzola) La Scienza e l'immaginario di Angela Cuttitta. Il progetto “La Scienza e l’Immaginario” nasce dalla collaborazione tra l’IAS - CNR di Capo Granitola e l’Accademia di Belle Arti di Palermo, che attraverso un approccio multidisciplinare ha voluto sperimentare l’unione tra il mondo scientifico e quello artistico, mettendo i giovani artisti, attraverso proiezioni e seminari scientifici, nelle condizioni di scoprire il mondo dell’ambiente marino e degli ecosistemi in esso presenti. Il progetto è nato dalla consapevolezza di come sia necessario operare sul piano della diffusione e divulgazione della cultura scientifica nei più vasti contesti sociali, a partire dall’ambito scolastico. Le azioni divulgative mirano, infatti, a diffondere la conoscenza dei processi geologici, chimico-fisici, climatici e biologici in modo pervasivo, non limitato a singole categorie/settori. La funzione strategica di tali azioni è quella di stimolare idee ed iniziative nonché di sviluppare una maggiore sensibilità nei confronti dei fenomeni che ci circondano, quale presupposto essenziale per una corretta programmazione politico-gestionale. Lo spirito che ha mosso tutte gli attori del progetto è stato quello di sensibilizzare gli studenti nei confronti della tutela delle risorse marine proprie del loro territorio e di sviluppare e promuovere la cultura come volano dello sviluppo sostenibile, della pace e dell’integrazione sociale, in armonia con quanto indicato dal Consiglio Europeo di Lisbona 2000. Grazie al lavoro di docenti e di ricercatori, l’arte come forma espressiva si è rivelata uno strumento valido e innovativo di divulgazione della cultura scientifica e ha portato alla creazione di suggestioni sui ragazzi che hanno percepito e realizzato forme e armonie espresse in questa mostra. L’impegno per questa manifestazione rappresenta, quindi, un appuntamento importante con le forze vive siciliane nel campo delle scienze del mare segnatamente ad esperti di biologia, chimica, fisica ed al mondo fantastico dell’arte, al fine di esprimere con le varie tecniche pittoriche un momento di riflessione culturale

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Disgust as a transdiagnostic index of mental illness: A narrative review of clinical populations

: Disgust is a basic emotion of rejection, providing an ancestral defensive mechanism against illness. Based on research that documents altered experiences of disgust across several psychopathological conditions, we conducted a narrative review to address the hypothesis that altered disgust may serve as a transdiagnostic index of mental illness. Our synthesis of the literature from past decades suggests that, compared to healthy populations, patients with mental disorders exhibit abnormal processing of disgust in at least one of the analyzed dimensions. We also outline evidence of alterations in brain areas relevant to disgust processing, such as the insula and the interconnected limbic network. Overall, we provide preliminary support for the hypothesis that altered disgust processing may serve as a transdiagnostic index of mental illness

Effect of Brazil nuts on selenium status, blood lipids, and biomarkers of oxidative stress and inflammation: a systematic review and meta-analysis of randomized clinical trials

Tree nuts, including Brazil nuts, have been hypothesized to impact cardiovascular health through the modulation of oxidative stress and inflammation. Nonetheless, a quantitative analysis of these effects has not been performed. Therefore, the aim of this study was to systematically revise and quantify the effect of Brazil nut intervention on selenium status, blood lipids, and biomarkers of oxidative stress and inflammation using a meta-analytical approach. To meet the goals of this study, a systematic search of PubMed, EMBASE, and Web of Science databases of published randomised clinical trials reporting on dietary interventions with Brazil nuts and their effects on selenium status, blood lipids, and markers of oxidative stress and inflammation was performed. Eight articles were included for systematic review and meta-analysis. Based on the conducted analysis, a significant positive effect of Brazil nuts on selenium blood concentration (SMD = 6.93, 95% CI: 3.99; 9.87) was found. Additionally, a positive effect of Brazil nut intervention on glutathione peroxidase activity (SMD = 0.53, 95% CI: 0.07; 0.99) was observed. However, no significant results were found when considering blood lipid levels, including results for total cholesterol (SMD = −0.22, 95% CI: −0.57; 0.14), HDL cholesterol (SMD = −0.04, 95% CI: −0.28; 0.19) and LDL cholesterol (SMD = −0.15; 95% CI: −0.43; 0.13). In conclusion, the findings from this study suggest that Brazil nut consumption improves selenium status and exerts antioxidant effects, which could be considered a potential pathway for the prevention of metabolic disorders related to altered blood lipid profiles. However, further studies are needed to elucidate the effect of Brazil nuts toward blood lipid profile, also preferably controlling for other biomarkers

The effect of dietary polyphenols on vascular health and hypertension: current evidence and mechanisms of action

The aim of this review was to explore existing evidence from studies conducted on humans and summarize the mechanisms of action of dietary polyphenols on vascular health, blood pressure and hypertension. There is evidence that some polyphenol-rich foods, including berry fruits rich in anthocyanins, cocoa and green tea rich in flavan-3-ols, almonds and pistachios rich in hydroxycinnamic acids, and soy products rich in isoflavones, are able to improve blood pressure levels. A variety of mechanisms can elucidate the observed effects. Some limitations of the evidence, including variability of polyphenol content in plant-derived foods and human absorption, difficulty disentangling the effects of polyphenols from other dietary compounds, and discrepancy of doses between animal and human studies should be taken into account. While no single food counteracts hypertension, adopting a plant-based dietary pattern including a variety of polyphenol-rich foods is an advisable practice to improve blood pressure

Structural and functional brain connectome in motor neuron diseases: A multicenter MRI study

Objective: To investigate structural and functional neural organization in amyotrophic lateral sclerosis (ALS), primary lateral sclerosis (PLS) and progressive muscular atrophy (PMA) patients. Methods: 173 ALS, 38 PLS, 28 PMA sporadic patients and 79 healthy controls were recruited from three Italian centers. Subjects underwent clinical, neuropsychological and brain MRI evaluations. Using graph analysis and connectomics, global and lobar topological network properties and regional structural and functional brain connectivity were assessed. The association between structural and functional network organization and clinical/cognitive data was investigated. Results: Compared to healthy controls, ALS and PLS patients showed altered structural global network properties, as well as local topological alterations and decreased structural connectivity in sensorimotor, basal ganglia, frontal and parietal areas. PMA patients showed preserved global structure. Patient groups did not show significant alterations of functional network topological properties relative to controls. Increased local functional connectivity was observed in ALS patients in the precentral, middle and superior frontal areas, and in PLS patients in the sensorimotor, basal ganglia and temporal networks. In both ALS and PLS patients, structural connectivity alterations correlated with motor impairment, while functional connectivity disruption was closely related to executive dysfunctions and behavioral disturbances. Conclusions: This multicenter study showed widespread motor/extra-motor network degeneration in ALS and PLS, suggesting that graph analysis and connectomics might represent a powerful approach to detect upper motor neuron degeneration, extra-motor brain changes and network reorganization associated with the disease. Network-based advanced MRI provides an objective in vivo assessment of motor neuron diseases, delivering potential prognostic markers

OpenDose: open access resources for nuclear medicine dosimetry

International audienceBackground: Radiopharmaceutical dosimetry depends on the localization in space and time of radioactive sources and requires the estimation of the amount of energy emitted by the sources deposited within targets. In particular, when computing resources are not accessible, this task can be carried out using precomputed tables of Specific Absorbed Fractions (SAFs) or S values based on dosimetric models. The OpenDose collaboration aims to generate and make freely available a range of dosimetric data and tools. Methods: OpenDose brings together resources and expertise from 18 international teams to produce and compare traceable dosimetric data using 6 of the most popular Monte Carlo codes in radiation transport (EGSnrc/EGS++, FLUKA, GATE, Geant4, MCNP/MCNPX and PENELOPE). SAFs are uploaded, together with their associated statistical uncertainties, in a relational database. S values are then calculated from mono-energetic SAFs, based on the radioisotope decay data presented in the International Commission on Radiological Protection (ICRP) publication 107. Results: The OpenDose collaboration produced SAFs for all source regions and targets combinations of the two ICRP 110 adult reference models. SAFs computed from the different Monte Carlo codes were in good agreement at all energies, with standard deviations below individual statistical uncertainties. Calculated S values were in good agreement with OLINDA 2 (commercial) and IDAC 2.1 (free) software. A dedicated website (www.opendose.org) has been developed to provide easy and open access to all data. Conclusion: The OpenDose website allows the display and download of SAFs and the corresponding S values for 1252 radionuclides. The OpenDose collaboration, open to new research teams, will extend data production to other dosimetric models and implement new free features, such as online dosimetric tools and patient-specific absorbed dose calculation software, together with educational resources

OpenDose: Open access resources for nuclear medicine dosimetry

Radiopharmaceutical dosimetry depends on the localization in space and time of radioactive sources and requires the estimation of the amount of energy emitted by the sources deposited within targets. In particular, when computing resources are not accessible, this task can be performed using precomputed tables of specific absorbed fractions (SAFs) or S values based on dosimetric models. The aim of the OpenDose collaboration is to generate and make freely available a range of dosimetric data and tools. Methods: OpenDose brings together resources and expertise from 18 international teams to produce and compare traceable dosimetric data using 6 of the most popular Monte Carlo codes in radiation transport (EGSnrc/EGS11, FLUKA, GATE, Geant4, MCNP/MCNPX, and PENELOPE). SAFs are uploaded, together with their associated statistical uncertainties, in a relational database. S values are then calculated from monoenergetic SAFs on the basis of the radioisotope decay data presented in International Commission on Radiological Protection Publication 107. Results: The OpenDose collaboration produced SAFs for all source region and target combinations of the 2 International Commission on Radiological Protection Publication 110 adult reference models. SAFs computed from the different Monte Carlo codes were in good agreement at all energies, with SDs below individual statistical uncertainties. Calculated S values were in good agreement with OLINDA/EXM 2.0 (commercial) and IDAC-Dose 2.1 (free) software. A dedicated website (www.opendose.org) has been developed to provide easy and open access to all data. Conclusion: The OpenDose website allows the display and downloading of SAFs and the corresponding S values for 1,252 radionuclides. The OpenDose collaboration, open to new research teams, will extend data production to other dosimetric models and implement new free features, such as online dosimetric tools and patient-specific absorbed dose calculation software, together with educational resourcesUniversidad de Costa RicaNational Measurement System of the U.K.Université de LyonEuratom Research and Training ProgramSilesian University of TechnologyNational Computational Infrastructure (NCI)UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigación en Ciencias Atómicas Nucleares y Moleculares (CICANUM)UCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Físic

OpenDose: open access resources for nuclear medicine dosimetry

International audienceBackground: Radiopharmaceutical dosimetry depends on the localization in space and time of radioactive sources and requires the estimation of the amount of energy emitted by the sources deposited within targets. In particular, when computing resources are not accessible, this task can be carried out using precomputed tables of Specific Absorbed Fractions (SAFs) or S values based on dosimetric models. The OpenDose collaboration aims to generate and make freely available a range of dosimetric data and tools. Methods: OpenDose brings together resources and expertise from 18 international teams to produce and compare traceable dosimetric data using 6 of the most popular Monte Carlo codes in radiation transport (EGSnrc/EGS++, FLUKA, GATE, Geant4, MCNP/MCNPX and PENELOPE). SAFs are uploaded, together with their associated statistical uncertainties, in a relational database. S values are then calculated from mono-energetic SAFs, based on the radioisotope decay data presented in the International Commission on Radiological Protection (ICRP) publication 107. Results: The OpenDose collaboration produced SAFs for all source regions and targets combinations of the two ICRP 110 adult reference models. SAFs computed from the different Monte Carlo codes were in good agreement at all energies, with standard deviations below individual statistical uncertainties. Calculated S values were in good agreement with OLINDA 2 (commercial) and IDAC 2.1 (free) software. A dedicated website (www.opendose.org) has been developed to provide easy and open access to all data. Conclusion: The OpenDose website allows the display and download of SAFs and the corresponding S values for 1252 radionuclides. The OpenDose collaboration, open to new research teams, will extend data production to other dosimetric models and implement new free features, such as online dosimetric tools and patient-specific absorbed dose calculation software, together with educational resources