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Abstract Many of the energy systems functioning across the developing world are poorly designed and largely inadequate to meet a country's commercial and domestic energy needs. This is especially so in Latin America, where poverty trends have been exacerbated by limited access to energy, which could be used towards supporting industrial and small-scale commercial activities. This has characterised the widespread trend of energy poverty. This phenomenon poses a major barrier towards achieving the UN Sustainable Development Goals (SDGs) and addressing climate change, since lack of access to reliable energy generation systems hinders the development of economic activities and limits the comfort of living conditions. This paper reports on a study aimed at catering to a better understanding of the challenges related to energy poverty in Latin America and identifying some of the tools that may be deployed to address them. The methodological procedures used were bibliometric analysis and survey. The main findings of this research evidence that reducing energy poverty in Latin American countries is crucial to alleviating household costs since a considerable part of family income is used to pay the energy needs. Less use of coal, greater access to electricity—including those from renewable generation—as well as the use of technologies and programs subsidized by governments would significantly contribute to increasing the Latin American citizens' quality of life and achieving the SDGs.

Abstract Background Eating is fundamental not only to survival and health, but also to how humans organise their social lives. Eating together with others is often seen as the healthy ideal, while eating alone is highlighted as a risk factor for negative health outcomes, especially among older adults. This paper, therefore, investigates the relationship between the frequency and subjective experience of eating alone and food-related outcomes among 70- to 75-year-olds in Sweden. Methods A survey was distributed to a nationally representative random sample of 1500 community-living in Sweden, aged 70–75 years. Two different constructs of eating alone (objective and subjective) were measured, along with the following food-related outcomes: a food index, intake of food groups, consumption of ready-made meals, number of main meals per day, and body mass index (BMI). Results In total, 695 respondents were included in the final sample. A quarter of the respondents were categorised as eating alone, of which a small proportion reported that doing so bothered them. There were no associations between eating alone and food index scores, BMI, or intake frequencies of fruits and berries, or fish and shellfish. However, people eating alone were less likely to report eating three meals per day (OR: 0.53, CI: 0.37–0.76, p = 0.006), less likely to report higher intake frequencies of vegetables and snacks, sugary foods, and sweet drinks (adjusted OR: 0.68, CI: 0.48–0.95, p = 0.023 resp. OR: 0.59, CI: 0.43–0.81, p = 0.001), and more likely to report higher intake frequencies of ready-made meals (adjusted OR: 3.71, CI: 2.02–6.84, p

The COVID-19 pandemic has affected all Sustainable Development Goals (SDGs), leading to setbacks in various Latin American countries. In Brazil, progress in technological development and the adoption of sustainable practices by organizations has been significantly hindered. Yet, there remains a limited understanding of the long-term impacts on the country’s development, and a structured national plan for recovery and resuming progress toward the SDGs is lacking. This paper aims to investigate the repercussions of COVID-19 on SDGs 9 (industry, innovation, and infrastructure) and 12 (sustainable consumption and production) in the context of a latecomer country such as Brazil. This study adopted the Delphi-based scenario and Fuzzy Delphi approach and involved the participation of 15 sustainability experts with extensive experience in the Brazilian industrial sector. The findings elucidate the long-term impacts of the pandemic on these SDGs, focusing on Brazil’s socioeconomic landscape and developmental challenges. The pandemic worsened pre-existing issues, hindering infrastructure modernization, technological investment, and sustainable practices. Insufficient research funding, industry modernization, and small business integration further impede progress. Additionally, the paper identifies implications for research, companies, and public policies, aiming to provide actionable insights for fostering sustainable development in the post-pandemic era.

Abstract The process of implementation of the UN Sustainable Development Goals (SDGs) which were approved by the UN General Assembly in 2015 has not been simple, being influenced by variety of social, economic, and logistical problems. It has also been negatively affected by the COVID-19 pandemic. There are to date no specific studies aimed at assessing the extent to which higher universities institutions in Europe are active in the SDGs implementation process. Departing from this research need, this paper reports on a study aimed at examining the current degree of engagement of European universities in the implementing the SDGs. By using a multi-methods approach, which entails a review of existing documents, a survey involving participants from 22 countries and case studies, the paper maps, documents and disseminates examples of what European universities are doing to implement the SDGs, the challenges they face, and the solutions being deployed to overcome them.

The Gene Ontology (GO) knowledgebase (http://geneontology.org) is a comprehensive resource concerning the functions of genes and gene products (proteins and noncoding RNAs). GO annotations cover genes from organisms across the tree of life as well as viruses, though most gene function knowledge currently derives from experiments carried out in a relatively small number of model organisms. Here, we provide an updated overview of the GO knowledgebase, as well as the efforts of the broad, international consortium of scientists that develops, maintains, and updates the GO knowledgebase. The GO knowledgebase consists of three components: (1) the GO-a computational knowledge structure describing the functional characteristics of genes; (2) GO annotations-evidence-supported statements asserting that a specific gene product has a particular functional characteristic; and (3) GO Causal Activity Models (GO-CAMs)-mechanistic models of molecular "pathways" (GO biological processes) created by linking multiple GO annotations using defined relations. Each of these components is continually expanded, revised, and updated in response to newly published discoveries and receives extensive QA checks, reviews, and user feedback. For each of these components, we provide a description of the current contents, recent developments to keep the knowledgebase up to date with new discoveries, and guidance on how users can best make use of the data that we provide. We conclude with future directions for the project.

The behaviour of pervasive molecular processes in human biology can be studied through the large-scale modeling of the molecular events that define them. Constructing detailed models of such extent and scope is a considerable undertaking well beyond the reach and capability of individual efforts, due to the range of expertise required. Reactome (http://www.reactome.org) is an open-access project that collaborates with field experts to integrate their pathway knowledge into a single quality-checked human model. This resource dataset is systematically cross-referenced to major molecular and literature databases, and is accessible to the community in a number of well-established formats. Various tools have been developed to facilitate querying and interaction with this content. The salient features of the annotation strategy are discussed here, and examples of pathway and genomic data integration using flexible interfacing methods from the associated toolkit are also presented.

The newborn's skin must undergo a transition process as a result of the passage from an aqueous to an aerobic environment. This process occurs over a period of approximately 2 to 8 weeks. The skin of newborns has important anatomical and physiological differences compared to those of older children and adults. It is thin, with fewer appendages; the stratum corneum is not present; the dermal-epidermal junction is reduced; intercellular junctions are weaker; the secretions of the sebaceous glands are limited and the pH is generally neutral. All these factors make the newborn's skin more fragile to any stimulus. To have effective prevention and intervention procedures, an accurate and practical risk assessment tool should be identified as a preliminary step for adequate prevention. Unfortunately, only few validated tools are available to assess the risk of PUs in children, especially newborns. The objective of the study is to examine the adherence of the most used tools for the assessment of PU risk in newborns, in particular to make a comparison of the limits and advantages of the most frequently used tools in neonatal settings, the Glamorgan scale and NSRAS. To respond to the main objective, a scoping review of the literature was conducted. 54 studies were identified. Further analysis was conducted, which led to the exclusion of articles that did not examine the characteristics of newborn skin, the risk factors related to PUs and the appropriateness of the NSRAS and Glamorgan tools, for a final selection of 35 studies. Patients admitted to NICU represent the paediatric category most exposed to the risk of developing pressure ulcers. Factors such as reduced mobility, together with the pressure exerted by aids or devices, increase the risk of pressure injuries. The risk factors that most expose the newborn to risk are the structure of the skin and medical devices. Nurses should implement preventative measures to control the risk of PU. The use of specific tools is necessary to detect the risk of PUs in newborns and implement preventive measures. PUs risk assessment is one of the nursing care strategies for prevention. Therefore, operators need a valid, reliable, and predictive scale. Lastly, we recommend the use of NSRAS for future research and for the education of healthcare professionals in the neonatal area.

The literature still offers few results on the prevention and treatment of neonatal skin lesions. However, it is important to note that available data show a high prevalence of injuries in newborns, especially in Neonatal Intensive Care Units. This prevalence, cross-sectional and pilot monocentric study aims to obtain updated epidemiological indicators on lesions in the hospitalized neonatal population. We analyzed a pilot cohort, randomizing a time window (November 2022). A data collection form (CRF) was designed in which information relating to the variables analyzed was collected, i.e. the child's medical history and a detailed inspection of the skin. This data was recorded in a database. A quantitative and descriptive analysis of the frequency of sociodemographic variables of all aggregated prevalence cut-off data was performed. During data analysis, correlations were made with respect to the type of lesions based on statistical significance (Fisher's exact). The results of the study demonstrate that the lesions are the result of a combination of several factors, including: setting, intrinsic and extrinsic factors, pathology and methods of use of skin management. For a better understanding of this problem it is necessary to deepen the research, expanding the number of observation windows.

Background: Aging implies changes in terms of lung function, immune system, and respiratory and extra-respiratory comorbidities. Few studies have specifically addressed the relevance of age on severe asthma burden and control. We aimed to evaluate whether age acts as an independent determinant of asthma severity, in terms of clinical, functional, and inflammatory profile, and to explore potential cofactors that contribute to a more difficult disease control in different age groups. Methods: Patients from Severe Asthma Network Italy (SANI) registry were retrospectively divided in subgroups according to their age. Cutoffs for age were established according to quartiles in order to obtain a comparable number of patients for each group, and then rounded for the sake of simplicity. Results: Overall, 1805 severe asthma patients were analyzed. Lung function represented the most important age-related variable. On the opposite the level of asthma control was not differently distributed among age ranges. In young people the presence of atopy-related comorbidities (allergic rhinitis, atopic dermatitis) predominated, whilst systemic-metabolic and degenerative comorbidities such as diabetes, cardiovascular diseases, anxious-depressive syndrome, and osteoporosis prevailed in elderly. Bronchiectasis and sleep disturbances were significantly associated with age. Conclusions: Despite that it cannot be considered a treatable trait, our study suggests that age should be evaluated within a personalized approach to severe asthma patients, in order to provide a better clinical profiling and a more tailored treatment strategy.

Background: We aimed to assess the characteristics, management and long-term prognosis of a cohort of patients with multiple valvular disease, focusing on the context of severe mitral or aortic disease with concomitant significant tricuspid regurgitation (TR). Methods: After using a propensity score matching for age, 975 patients with ≥ moderate TR, diagnosed at our centers from 2012 to 2020, were included and divided in four groups, including isolated TR patients as reference group. Primary endpoint was all-cause death (ACD), secondary endpoint was the composite of heart failure (HF) hospitalization + any valvular intervention. Results: Patients with isolated TR (356, 37 %) had more history of atrial fibrillation and were more often asymptomatic and with preserved left-ventricular ejection fraction (LVEF). Patients with severe mitral regurgitation (MR) + TR (466, 48 %) showed higher rates of concomitant coronary artery disease, advanced functional class symptoms and larger left atrial volumes. Severe aortic stenosis (AS) patients (131, 13 %) were older, with more comorbidities and lower LVEF. Patients with severe aortic regurgitation and TR (22, 2 %) were younger, with larger LV dimensions and higher pulmonary arterial pressures.After a median follow-up of 2.8 years, both endpoints were univariably more frequent in patients with severe AS + TR (all p

Background Mitral regurgitation (MR) is frequent in patients with aortic stenosis (AS). Although primary MR is an established negative prognostic factor, whether different mechanisms of MR have different effects on outcome is currently unknown. The aim of this study was to evaluate the impact of the MR mechanism in patients undergoing transcatheter aortic valve replacement (TAVR). Methods and Results This is a retrospective observational study of patients who underwent TAVR for severe aortic stenosis in a high‐volume tertiary care center. Echocardiographic comprehensive MR assessment was performed at baseline and within 3 months post TAVR. The study population was divided into 4 groups according to MR mechanism: Group I: fibro‐calcific leaflet degeneration; Group II: prolapse/flail; Group III: ventricular secondary MR (functional MR); and Group IV: atrial functional MR. The study end point was a combination of death from cardiovascular cause and heart failure–related hospitalization. The study population included 427 patients (mean age 81.7±6.5 years; 71% primary MR; 62% ≥moderate MR). At 3‐year follow‐up, survival free from the composite end point significantly differs according to MR mechanism: it was higher in group IV (atrial functional MR, 96.6%) compared with group I (80.4%, P=0.002) and group II patients (60.7%, P=0.001), and group III (84.8%, P=0.037); patients with MR due to leaflet prolapse showed poorer prognosis compared with patients with functional MR (group III, P=0.023 and group IV, P=0.001) and with group I (P=0.040). Overall, severe MR after TAVR identified patients with poorer prognosis and was significantly more frequent in group II (46.4%, P=0.001). Conclusions In patients undergoing TAVR, preprocedural identification of MR mechanism and mechanism provides prognostic insights.

The term ''prosumers'' coined by Toffler, relates to those customers who also engage in the co-creation of products, which they only partly consume, and whose balance is made available to a broader group. But even though the role of prosumers is increasingly relevant as a more comprehensive number of people are engaging in the production of products to be shared by others, there is a need for studies that aim at identifying how widespread they are, and the concrete contribution they are providing to some key area such as, for energy, energy generation and distribution. Based on the need to address this research gap, this paper reports on a study on prosumer behaviour in a sustainable development (SD) context, with a focus on the energy sector. The paper deploys a mixed-methods approach which entails a bibliometric analysis of prosumers from a sustainability perspective - to gain a better understanding of the topic -, a quantitative study of prosumers’ behaviour in the field of renewable energy involving respondents from 44 countries, and a set of case studies, supported by the literature, which illustrates current trends. The novelty of this paper resides in the fact that it explores the role of prosumers in an SD context across many countries in the critical area of energy generation and use, outlining the drivers of positive behaviour and identifying some further information needs.

Three-dimensional transesophageal echocardiography (3DTEE) is the recommended imaging technique for the assessment of mitral valve (MV) morphology and lesions in case of mitral regurgitation (MR) requiring surgical or transcatheter repair. Such assessment is key to thorough intervention planning and to intraprocedural guidance. However, it requires segmentation from 3DTEE images, which is time-consuming, operator-dependent, and often merely qualitative. In the present work, a novel workflow to quantify the patient-specific MV geometry from 3DTEE is proposed. The developed approach relies on a 3D multi-decoder residual convolutional neural network (CNN) with a U-Net architecture for multi-class segmentation of MV annulus and leaflets. The CNN was trained and tested on a dataset comprising 55 3DTEE examinations of MR-affected patients. After training, the CNN is embedded into a fully automatic, and hence fully repeatable, pipeline that refines the predicted segmentation, detects MV anatomical landmarks and quantifies MV morphology. The trained 3D CNN achieves an average Dice score of 0.82 ± 0.06, mean surface distance of 0.43 ± 0.14 mm and 95% Hausdorff Distance (HD) of 3.57 ± 1.56 mm before segmentation refinement, outperforming a state-of-the-art baseline residual U-Net architecture, and provides an unprecedented multi-class segmentation of the annulus, anterior and posterior leaflet. The automatic 3D linear morphological measurements of the annulus and leaflets, specifically diameters and lengths, exhibit differences of less than 1.45 mm when compared to ground truth values. These measurements also demonstrate strong overall agreement with analyses conducted by semi-automated commercial software. The whole process requires minimal user interaction and requires approximately 15 seconds.

Introduction Influenza immunization policies in Europe primarily target at-risk and vulnerable subjects. Healthcare workers (HCWs) are a key focus of vaccination campaigns. Our systematic review and meta-analysis aim to evaluate the role of the COVID-19 pandemic on influenza vaccine uptake among HCWs since the 2020/21 influenza season. Areas covered Fourteen studies were included in the meta-analysis and systematic review, selected from scientific articles available in MEDLINE/PubMed, ISI Web of Knowledge, and Scopus databases between 1 January 2021 and 15 January 2023 The analysis revealed a significant relationship between influenza vaccine uptake and COVID-19 related determinants, such as willingness to receive COVID-19 vaccination, fear of COVID-19, and differentiating between influenza and COVID-19 symptoms (OR = 5.70; 95%CI = 2.08–15.60). Several studies reported higher vaccination coverages in the 2020/21 season compared to previous seasons, with VC values ranging from + 17% to + 38% compared to the 2019/20 season. The included studies identified a shift in HCWs’ attitudes toward influenza vaccination, attributed to increased awareness due to the COVID-19 pandemic. Expert opinion Vaccine hesitancy is common among HCWs in Europe, necessitating mutual strategies across all European countries. So far, mandatory vaccination policies have shown the most potential in achieving high and sustainable influenza vaccination rates among HCWs.

Purpose: This paper aims to explore whether formal, non-formal, and informal learning experiences contribute to developing sustainable development competencies (SDCs) among students in a Principles of Responsible Management Education (PRME) signatory business school. Design/methodology/approach: An online survey based on the students' learning experiences and a questionnaire on sustainability competencies already validated in the literature were given to a sample of 274 bachelor students at a PRME signatory business school. Nominal variables representing students' categories were created to test a set of hypotheses developed according to the literature. Because the data was not normally distributed, non-parametric independent-samples Mann-Whitney U test was conducted, and descriptive statistics was used to help the analysis. Findings: The results suggest that a hybrid format with a combination of formal, non-formal and informal learning experiences is essential to maximising the development of SDCs and raising students' sustainability literacy. Research limitations/implications: This study is one of the first attempts to understand the importance of a hybrid approach in developing sustainable competencies (SDCs). Future studies could adopt longitudinal analysis to check the development of these competencies over time, assess students from different PRME signatory schools or comparing students to those in non-signatory business schools. Practical implications: This study provides insight into how business schools could address challenges in developing sustainable competencies through redirecting their educational systems by balancing formal, informal and non-formal learning approaches to educate future responsible leaders. Originality/value: This research provides evidence on how a hybrid learning approach could maximise the development of sustainable development competencies and, therefore, generating insights for educational policies.

Entomopathogenic nematodes (EPN) are potent microbial biocontrol agents applied commercially against various economically important insect pests. The efficacy of EPN in the field may be partially reduced when compared to chemical insecticides due to its sensitivity to environmental stressors like temperature, desiccation, and UV light. Thus, researchers have developed methods to enhance the effectiveness of EPN, such as screening or breeding stress-resistant strains and creating adjuvants for EPN protection in the field. This study used another strategy to lower the host’s immunity so that the anti-infection ability of the pest wanes, and the virulence of EPN waxes accordingly. In addition to its use as a plant growth regulator, thiourea also functions as an inhibitor of polyphenol oxidase (PO) in insects. Thiourea can inhibit a key interaction in the humoral immunity of insects, so we utilized it to enhance the efficacy of EPN. To investigate the effects of thiourea on PO activity inhibition and EPN pathogenesis, we studied the effects of thiourea on survival, infectivity, reproduction, and host searching ability of the EPN, Heterorhabditis beicherriana, and monitored in vivo and in vitro polyphenol oxidase activity of the model insect host, Galleria mellonella. The survival of H. beicherriana infective juveniles (IJs) was barely affected after exposure to 0.5 mM and 1 mM thiourea solution, and the reproductive output of H. beicherriana IJs (after applying 50, 100 and 200 IJs per host) in 0.5 mM and 1 mM thiourea was not different compared to the control. However, the LD50 of G. mellonella larvae caused by H. beicherriana without thiourea was significantly higher than H. beicherriana IJs in thiourea. Moreover, thiourea inhibited in vivo and in vitro polyphenol oxidase activity of G. mellonella infected by EPNs at different concentrations. Thus, thiourea can improve the biological control efficacy of EPNs, and the enhanced environmentally friendly approach may apply to diverse cropping systems.

The Alliance of Genome Resources (the Alliance) is a combined effort of 7 knowledgebase projects: Saccharomyces Genome Database, WormBase, FlyBase, Mouse Genome Database, the Zebrafish Information Network, Rat Genome Database, and the Gene Ontology Resource. The Alliance seeks to provide several benefits: better service to the various communities served by these projects; a harmonized view of data for all biomedical researchers, bioinformaticians, clinicians, and students; and a more sustainable infrastructure. The Alliance has harmonized cross-organism data to provide useful comparative views of gene function, gene expression, and human disease relevance. The basis of the comparative views is shared calls of orthology relationships and the use of common ontologies. The key types of data are alleles and variants, gene function based on gene ontology annotations, phenotypes, association to human disease, gene expression, protein-protein and genetic interactions, and participation in pathways. The information is presented on uniform gene pages that allow facile summarization of information about each gene in each of the 7 organisms covered (budding yeast, roundworm Caenorhabditis elegans, fruit fly, house mouse, zebrafish, brown rat, and human). The harmonized knowledge is freely available on the alliancegenome.org portal, as downloadable files, and by APIs. We expect other existing and emerging knowledge bases to join in the effort to provide the union of useful data and features that each knowledge base currently provides.

Abstract Many higher education institutions around the world are engaged in efforts to tackle climate change. This takes place by not only reducing their own carbon footprint but also by educating future leaders and contributing valuable research and expertise to the global effort to combat climate change. However, there is a need for studies that identify the nature of their engagement on the topic, and the extent to which they are contributing towards addressing the many problems associated with climate change. Against this background, this paper describes a study that consisted of a review of the literature and the use of case studies, which outline the importance of university engagement in climate change and describe its main features. The study identified the fact that even though climate change is a matter of great relevance to universities, its coverage in university programmes is not as wide as one could expect. Based on the findings, the paper also lists the challenges associated with the inclusion of climate change in university programmes. Finally, it describes some of the measures which may be deployed in order to maximise the contribution of higher education towards handling the challenges associated with a changing climate.

Abstract Background Clinical drawback in checkpoint inhibitors immunotherapy (ICI) of metastatic melanoma (MM) is monitoring clinical benefit. Soluble forms of PD1(sPD1) and PD-L1(sPD-L1) and extracellular vesicles (EVs) expressing PD1 and PD-L1 have recently emerged as predictive biomarkers of response. As factors released in the blood, EVs and soluble forms could be relevant in monitoring treatment efficacy and adaptive resistance to ICI. Methods We used pre-therapy plasma samples of 110 MM patients and longitudinal samples of 46 patients. Elisa assay and flow cytometry (FCM) were used to measure sPD-L1 and sPD1 concentrations and the percentage of PD1+ EVs and PD-L1+ EVs, released from tumor and immune cells in patients subsets. Transwell assays were conducted to investigate the impact of EVs of each patient subset on MM cells invasion and interaction between tumor cells and macrophages or dendritic cells. Viability assays were performed to assess EVs effect on MM cells and organoids sensitivity to anti-PD1. FCM was used to investigate immunosuppressive markers in EVs and immune cells. Results The concentrations of sPD1 and sPD-L1 in pre-treatment and longitudinal samples did not correlate with anti-PD1 response, instead only tumor-derived PD1+ EVs decreased in long responders while increased during disease progression in responders. Notably, we observed reduction of T cell derived EVs expressing LAG3+ and PD1+ in long responders and their increase in responders experiencing progression. By investigating the impact of EVs on disease progression, we found that those isolated from non-responders and from patients with progression disease accelerated tumor cells invasiveness and migration towards macrophages, while EVs of long responders reduced the metastatic potential of MM cells and neo-angiogenesis. Additionally, the EVs of non-responders and of progression disease patients subset reduced the sensitivity of MM cells and organoids of responder to anti-PD1 and the recruitment of dendritic cells, while the EVs of progression disease subset skewed macrophages to express higher level of PDL-1. Conclusion Collectively, we suggest that the detection of tumor-derived PD1 + EVs may represent a useful tool for monitoring the response to anti-PD1 and a role for EVs shed by tumor and immune cells in promoting tumor progression and immune dysfunction. Graphical Abstract

Hypereosinophilic syndrome (HES) encompasses a heterogeneous and complex group of different subtypes within the wider group of hypereosinophilic disorders. Despite increasing research interest, several unmet needs in terms of disease identification, pathobiology, phenotyping, and personalized treatment remain to be addressed. Also, the prospective burden of non-malignant HES and, more in general, HE disorders is currently unknown. On a practical note, shortening the diagnostic delay and the time to an appropriate treatment approach probably represents the most urgent issue, even in light of the great impact of HES on the quality of life of affected patients. The present document represents the first action that the Italian Society of Allergy, Asthma, and Clinical Immunology (SIAAIC) has finalized within a wider project aiming to establish a collaborative national network on HES (InHES—Italian Network on HES) for patients and physicians. The first step of the project could not but focus on defining a common language as well as sharing with all of the medical community an update on the most recent advances in the field. In fact, the existing literature has been carefully reviewed in order to critically integrate the different views on the topic and derive practical recommendations on disease identification and treatment approaches.

MotivationGene Ontology Causal Activity Models (GO-CAMs) assemble individual associations of gene products with cellular components, molecular functions and biological processes into causally linked activity flow models. Pathway databases such as the Reactome Knowledgebase create detailed molecular process descriptions of reactions and assemble them, based on sharing of entities between individual reactions into pathway descriptions.ResultsTo convert the rich content of Reactome into GO-CAMs, we have developed a software tool, Pathways2GO, to convert the entire set of normal human Reactome pathways into GO-CAMs. This conversion yields standard GO annotations from Reactome content and supports enhanced quality control for both Reactome and GO, yielding a nearly seamless conversion between these two resources for the bioinformatics community.Supplementary informationSupplementary data are available at Bioinformatics online.

Abstract Background The role of left atrial appendage occlusion (LAAO) for atrial fibrillation patients that during oral anticoagulant therapy (OAC) suffer from ischemic events or present LAA sludge, and the best postinterventional anticoagulant regimen, need to be defined. We present our experience with a hybrid approach of LAAO+ lifelong OAC therapy in this cohort of patients. Methods Out of 425 patients treated with LAAO, 102 underwent LAAO because, despite OAC, suffered from ischemic events or presented with LAA sludge. Patients without high bleeding risk were discharged with the aim of maintaining lifelong OAC. This cohort was then matched to a population who underwent LAAO in primary ischemic events prevention. The primary endpoint was the composite of all‐cause death and major adverse cardiovascular events consisting of ischemic stroke, systemic embolism (SE), and major bleeding. Results Procedural success was 98%, and 70% of patients were discharged with anticoagulant therapy. After a median follow‐up of 47.2 months, the primary endpoint occurred in 27 patients (26%). At multivariate analyses, coronary artery disease (OR 5.1, CI 1.89–14.27, p = .003) and OAC at discharge (OR 0.29, CI 0.11–0.80, p = .017) were associated with the primary endpoint. After propensity score matching, no significant difference was found in the survival free from the primary endpoint according to the indication for LAAO (p = .19). Conclusions In this high‐ischemic risk cohort, LAAO + OAC seem a long‐term safe and effective therapeutical approach, with no difference in the survival free from the primary endpoint according to the indication for LAAO in a matched cohort.

Background A shift toward human diets that include more fruit and vegetables, and less meat is a potential pathway to improve public health and reduce food system-related greenhouse gas emissions. Associated changes in land use could include conversion of grazing land into horticulture, which makes more efficient use of land per unit of dietary energy and frees-up land for other uses. Methods Here we use Great Britain as a case study to estimate potential impacts on biodiversity from converting grazing land to a mixture of horticulture and natural land covers by fitting species distribution models for over 800 species, including pollinating insects and species of conservation priority. Results Across several land use scenarios that consider the current ratio of domestic fruit and vegetable production to imports, our statistical models suggest a potential for gains to biodiversity, including a tendency for more species to gain habitable area than to lose habitable area. Moreover, the models suggest that climate change impacts on biodiversity could be mitigated to a degree by land use changes associated with dietary shifts. Conclusions Our analysis demonstrates that options exist for changing agricultural land uses in a way that can generate win-win-win outcomes for biodiversity, adaptation to climate change and public health.

IntroductionThe COVID-19 Disease Map project is a large-scale community effort uniting 277 scientists from 130 Institutions around the globe. We use high-quality, mechanistic content describing SARS-CoV-2-host interactions and develop interoperable bioinformatic pipelines for novel target identification and drug repurposing. MethodsExtensive community work allowed an impressive step forward in building interfaces between Systems Biology tools and platforms. Our framework can link biomolecules from omics data analysis and computational modelling to dysregulated pathways in a cell-, tissue- or patient-specific manner. Drug repurposing using text mining and AI-assisted analysis identified potential drugs, chemicals and microRNAs that could target the identified key factors.ResultsResults revealed drugs already tested for anti-COVID-19 efficacy, providing a mechanistic context for their mode of action, and drugs already in clinical trials for treating other diseases, never tested against COVID-19. DiscussionThe key advance is that the proposed framework is versatile and expandable, offering a significant upgrade in the arsenal for virus-host interactions and other complex pathologies.

BackgroundExertional dyspnoea in post-COVID syndrome is a debilitating manifestation, requiring appropriate comprehensive management. However, limited-resources healthcare systems might be unable to expand their healthcare-providing capacity and are expected to be overwhelmed by increasing healthcare demand. Furthermore, since post-COVID exertional dyspnoea is regarded to represent an umbrella term, encompassing several clinical conditions, stratification of patients with post-COVID exertional dyspnoea, depending on risk factors and underlying aetiologies might provide useful for healthcare optimization and potentially help relieve healthcare service from overload. Hence, we aimed to investigate the frequency, functional characterization, and predictors of post-COVID exertional dyspnoea in a large cohort of post-COVID patients in Apulia, Italy, at 3-month post-acute SARS-CoV-2 infection.MethodsA cohort of laboratory-confirmed 318 patients, both domiciliary or hospitalized, was evaluated in a post-COVID Unit outpatient setting. Post-COVID exertional dyspnoea and other post-COVID syndrome manifestations were collected by medical history. Functional characterization of post-COVID exertional dyspnoea was performed through a 6-min walking test (6-mwt). The association of post-COVID exertional dyspnoea with possible risk factors was investigated through univariate and multivariate logistic regression analysis.ResultsAt medical evaluation, post-COVID exertional dyspnoea was reported by as many as 190/318 patients (59.7%), showing relatively high prevalence also in domiciliary-course patients. However, functional characterization disclosed a 6-mwt-based desaturation walking drop in only 24.1% of instrumental post-COVID exertional dyspnoea patients. Multivariate analysis identified five independent predictors significantly contributing to PCED, namely post-COVID-fatigue, pre-existing respiratory co-morbidities, non-asthmatic allergy history, age, and acute-phase-dyspnoea. Sex-restricted multivariate analysis identified a differential risk pattern for males (pre-existing respiratory co-morbidities, age, acute-phase-dyspnoea) and females (post-COVID-fatigue and acute-phase-dyspnoea).ConclusionOur findings revealed that post-COVID exertional dyspnoea is characterized by relevant clinical burden, with potential further strain on healthcare systems, already weakened by pandemic waves. Sex-based subgroup analysis reveals sex-specific dyspnoea-underlying risk profiles and pathogenic mechanisms. Knowledge of sex-specific risk-determining factors might help optimize personalized care management and healthcare resources.

Abstract Background Representing species-specific proteins and protein complexes in ontologies that are both human- and machine-readable facilitates the retrieval, analysis, and interpretation of genome-scale data sets. Although existing protin-centric informatics resources provide the biomedical research community with well-curated compendia of protein sequence and structure, these resources lack formal ontological representations of the relationships among the proteins themselves. The Protein Ontology (PRO) Consortium is filling this informatics resource gap by developing ontological representations and relationships among proteins and their variants and modified forms. Because proteins are often functional only as members of stable protein complexes, the PRO Consortium, in collaboration with existing protein and pathway databases, has launched a new initiative to implement logical and consistent representation of protein complexes. Description We describe here how the PRO Consortium is meeting the challenge of representing species-specific protein complexes, how protein complex representation in PRO supports annotation of protein complexes and comparative biology, and how PRO is being integrated into existing community bioinformatics resources. The PRO resource is accessible at http://pir.georgetown.edu/pro/. Conclusion PRO is a unique database resource for species-specific protein complexes. PRO facilitates robust annotation of variations in composition and function contexts for protein complexes within and between species.

The skin of the child presents significant differences compared to that of the adult; this diversity is even more marked if the skin of the newborn is taken into consideration. In fact, this is immature, as is its immune response. This results in weak responses to microorganisms. Therefore, the use of antibacterial dressings is necessary to manage the microbial load at the skin surface level. To this end, international consensus documents suggest that the use of products with a physical and mechanical action to remove bacteria is indicated. Bacterial uptake dressings that exploit DACC technology are bacteriostatic and non-bactericidal dressings; this "passive" control of the bacterial load avoids the rupture of the bacterial cell wall and the consequent release of endotoxins, which worsen the inflammatory state and prevent the healing of the lesion. Thanks to its purely physical principle, it also does not release any antimicrobial agent, which could create the risk of bacterial resistance and allergies. This treatment proposal aims to highlight the advantage and benefit of advanced dressings with DACC technology, for the prevention and treatment of pediatric and neonatal infected wounds.

The Gene Ontology Consortium (GOC) provides the most comprehensive resource currently available for computable knowledge regarding the functions of genes and gene products. Here, we report the advances of the consortium over the past two years. The new GO-CAM annotation framework was notably improved, and we formalized the model with a computational schema to check and validate the rapidly increasing repository of 2838 GO-CAMs. In addition, we describe the impacts of several collaborations to refine GO and report a 10% increase in the number of GO annotations, a 25% increase in annotated gene products, and over 9,400 new scientific articles annotated. As the project matures, we continue our efforts to review older annotations in light of newer findings, and, to maintain consistency with other ontologies. As a result, 20 000 annotations derived from experimental data were reviewed, corresponding to 2.5% of experimental GO annotations. The website (http://geneontology.org) was redesigned for quick access to documentation, downloads and tools. To maintain an accurate resource and support traceability and reproducibility, we have made available a historical archive covering the past 15 years of GO data with a consistent format and file structure for both the ontology and annotations.

Mitral stenosis (MS) poses significant challenges in diagnosis and management due to its varied etiologies, such as rheumatic mitral stenosis (RMS) and degenerative mitral stenosis (DMS). While rheumatic fever-induced RMS has declined in prevalence, DMS is rising with aging populations and comorbidities. Starting from a complex clinical case of DMS, the aim of this paper is to review the literature on mitral stenosis by analyzing the available tools and the differences in terms of diagnosis and treatment for rheumatic and degenerative stenosis. Emerging transcatheter techniques, such as transcatheter mitral valve replacement (TMVR) and lithotripsy-facilitated percutaneous mitral commissurotomy (PMC), represent promising alternatives for DMS patients deemed unfit for surgery. In particular, intravascular lithotripsy (IVL) has shown potential in facilitating percutaneous interventions by fracturing calcific deposits and enabling subsequent interventions. However, larger prospective studies are warranted to validate these findings and establish IVL’s role in DMS management. To further enhance this technique, research could focus on investigating the long-term outcomes and durability of mitral lithotripsy, as well as exploring its potential in combination with PMC or TMVR.