Principales indicadores bibliométricos de la actividad científica peruana. 2012-2017

La actividad científica, como uno de los principales motores de desarrollo económico, implica la participación de diversos sectores e instituciones. Para ello, el Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica (CONCYTEC), como institución rectora del Sistema Nacional de Ciencia, Tecnología e Innovación Tecnológica (SINACYT), desarrolla diversas actividades orientadas no solo a generar las condiciones necesarias para el desarrollo de la investigación, sino también para su promoción, fomento y orientación. En este contexto, la elaboración de análisis sobre los resultados de investigación que se generan en el país es fundamental para la evaluación que hacen las diferentes instancias gubernamentales implicadas en el desarrollo de la política nacional de Ciencia, Tecnología e Innovación (CTeI) y en el planteamiento de estrategias que contribuyan a consolidar la actividad investigadora en el país.Por ello, el objetivo principal de este informe es caracterizar la investigación científica desarrollada en Perú, mediante la determinación del grado de visibilidad, colaboración, impacto, excelencia y liderazgo, que alcanzaron los investigadores peruanos, durante el sexenio de 2012-2017. Para lo cual, se usaron como fuente de datos bibliométricos Scopus de Elsevier y la metodología de SCImago Research Group.Peer reviewe

Plasma Protein Biomarkers Distinguish Multisystem Inflammatory Syndrome in Children from Other Pediatric Infectious and Inflammatory Diseases

Background: Multisystem inflammatory syndrome in children (MIS-C) is a rare but serious hyperinflammatory complication following infection with severe acute respiratory syndrome coronavirus 2. The mechanisms underpinning the pathophysiology of MIS-C are poorly understood. Moreover, clinically distinguishing MIS-C from other childhood infectious and inflammatory conditions, such as Kawasaki disease or severe bacterial and viral infections, is challenging due to overlapping clinical and laboratory features. We aimed to determine a set of plasma protein biomarkers that could discriminate MIS-C from those other diseases. Methods: Seven candidate protein biomarkers for MIS-C were selected based on literature and from whole blood RNA sequencing data from patients with MIS-C and other diseases. Plasma concentrations of ARG1, CCL20, CD163, CORIN, CXCL9, PCSK9 and ADAMTS2 were quantified in MIS-C (n = 22), Kawasaki disease (n = 23), definite bacterial (n = 28) and viral (n = 27) disease and healthy controls (n = 8). Logistic regression models were used to determine the discriminatory ability of individual proteins and protein combinations to identify MIS-C and association with severity of illness. Results: Plasma levels of CD163, CXCL9 and PCSK9 were significantly elevated in MIS-C with a combined area under the receiver operating characteristic curve of 85.7% (95% confidence interval: 76.6%-94.8%) for discriminating MIS-C from other childhood diseases. Lower ARG1 and CORIN plasma levels were significantly associated with severe MIS-C cases requiring inotropes, pediatric intensive care unit admission or with shock. Conclusion: Our findings demonstrate the feasibility of a host protein biomarker signature for MIS-C and may provide new insight into its pathophysiology

Plasma protein biomarkers distinguish Multisystem Inflammatory Syndrome in Children (MIS-C) from other pediatric infectious and inflammatory diseases

ABSTRACT Background Multisystem inflammatory syndrome in children (MIS-C) is a rare but serious hyperinflammatory complication following infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The mechanisms underpinning the pathophysiology of MIS-C are poorly understood. Moreover, clinically distinguishing MIS-C from other childhood infectious and inflammatory conditions, such as Kawasaki Disease (KD) or severe bacterial and viral infections is challenging due to overlapping clinical and laboratory features. We aimed to determine a set of plasma protein biomarkers that could discriminate MIS-C from those other diseases. Methods Seven candidate protein biomarkers for MIS-C were selected based on literature and from whole blood RNA-Sequencing data from patients with MIS-C and other diseases. Plasma concentrations of ARG1, CCL20, CD163, CORIN, CXCL9, PCSK9 and ADAMTS2 were quantified in MIS-C (n=22), KD (n=23), definite bacterial (DB; n=28) and viral (DV, n=27) disease, and healthy controls (n=8). Logistic regression models were used to determine the discriminatory ability of individual proteins and protein combinations to identify MIS-C, and association with severity of illness. Results Plasma levels of CD163, CXCL9, and PCSK9 were significantly elevated in MIS-C with a combined AUC of 86% (95% CI: 76.8%-95.1%) for discriminating MIS-C from other childhood diseases. Lower ARG1 and CORIN plasma levels were significantly associated with severe MIS-C cases requiring oxygen, inotropes or with shock. Conclusion Our findings demonstrate the feasibility of a host protein biomarker signature for MIS-C and may provide new insight into its pathophysiology

Genomic investigations of unexplained acute hepatitis in children

Since its first identification in Scotland, over 1,000 cases of unexplained paediatric hepatitis in children have been reported worldwide, including 278 cases in the UK1. Here we report an investigation of 38 cases, 66 age-matched immunocompetent controls and 21 immunocompromised comparator participants, using a combination of genomic, transcriptomic, proteomic and immunohistochemical methods. We detected high levels of adeno-associated virus 2 (AAV2) DNA in the liver, blood, plasma or stool from 27 of 28 cases. We found low levels of adenovirus (HAdV) and human herpesvirus 6B (HHV-6B) in 23 of 31 and 16 of 23, respectively, of the cases tested. By contrast, AAV2 was infrequently detected and at low titre in the blood or the liver from control children with HAdV, even when profoundly immunosuppressed. AAV2, HAdV and HHV-6 phylogeny excluded the emergence of novel strains in cases. Histological analyses of explanted livers showed enrichment for T cells and B lineage cells. Proteomic comparison of liver tissue from cases and healthy controls identified increased expression of HLA class 2, immunoglobulin variable regions and complement proteins. HAdV and AAV2 proteins were not detected in the livers. Instead, we identified AAV2 DNA complexes reflecting both HAdV-mediated and HHV-6B-mediated replication. We hypothesize that high levels of abnormal AAV2 replication products aided by HAdV and, in severe cases, HHV-6B may have triggered immune-mediated hepatic disease in genetically and immunologically predisposed children

Multi-platform assessment of coastal protection and carbon sequestration in the Venice Lagoon under future scenarios

In recent decades, the rapid development of coastal regions, driven by sustained economic growth and population migration, has amplified their susceptibility to climate-induced hazards. The need to address these challenges in socio-economic coastal hotspots has become a pressing concern, requiring research and analysis to empower local decision-makers to undertake timely and appropriate adaptation measures. Simultaneously, many of these coastal areas boast rich natural habitats, which offer a diverse array of ecosystem services that can enhance climate resilience through both adaptation and mitigation efforts. This study, focuses on the Venice Lagoon, a region particularly vulnerable to natural hazards like sea-level rise, erosion, and flooding due to its low-lying coastal areas, seeks to examine the coastal protection and carbon sequestration services provided by seagrasses and salt marshes. Leveraging the InVEST platform known for its capabilities in valuing ecosystem services and assessing interventions for the protection and restoration of natural capital, this research takes a multi-platform approach by integrating the Coastal Vulnerability and Coastal Blue Carbon models to compute a composite index of these two ecosystem services. Additionally, we incorporate other tools that aid in the computation of the inputs to the InVEST models such as ARIES (Artificial Intelligence for Environment & Sustainability) and the QGIS plugins Molusce and SCP. We also provide estimates of carbon stocks, net carbon sequestration, and the economic value of these habitats for 2040 and 2060. The main outcome of this study is a combined index of coastal protection and carbon sequestration services developed to highlight crucial areas for the provisioning of these services, emphasizing the interconnectedness of socio-ecosystem components in coastal regions. In this study, we highlight the importance of using integrated assessment of ecosystem services in the context of climate change

El cardenal : drama en cuatro actos

"Estrenado en el teatro Infanta Isabel, de Madrid, el día 31 de septiembre de 1915"No pé de imprenta consta: "Año III: 28 de septiembre de 1929

Plasma Protein Biomarkers Distinguish Multisystem Inflammatory Syndrome in Children From Other Pediatric Infectious and Inflammatory Diseases.

BackgroundMultisystem inflammatory syndrome in children (MIS-C) is a rare but serious hyperinflammatory complication following infection with severe acute respiratory syndrome coronavirus 2. The mechanisms underpinning the pathophysiology of MIS-C are poorly understood. Moreover, clinically distinguishing MIS-C from other childhood infectious and inflammatory conditions, such as Kawasaki disease or severe bacterial and viral infections, is challenging due to overlapping clinical and laboratory features. We aimed to determine a set of plasma protein biomarkers that could discriminate MIS-C from those other diseases.MethodsSeven candidate protein biomarkers for MIS-C were selected based on literature and from whole blood RNA sequencing data from patients with MIS-C and other diseases. Plasma concentrations of ARG1, CCL20, CD163, CORIN, CXCL9, PCSK9 and ADAMTS2 were quantified in MIS-C (n = 22), Kawasaki disease (n = 23), definite bacterial (n = 28) and viral (n = 27) disease and healthy controls (n = 8). Logistic regression models were used to determine the discriminatory ability of individual proteins and protein combinations to identify MIS-C and association with severity of illness.ResultsPlasma levels of CD163, CXCL9 and PCSK9 were significantly elevated in MIS-C with a combined area under the receiver operating characteristic curve of 85.7% (95% confidence interval: 76.6%-94.8%) for discriminating MIS-C from other childhood diseases. Lower ARG1 and CORIN plasma levels were significantly associated with severe MIS-C cases requiring inotropes, pediatric intensive care unit admission or with shock.ConclusionOur findings demonstrate the feasibility of a host protein biomarker signature for MIS-C and may provide new insight into its pathophysiology