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Objetivo: actualizar los resultados del registro BIOBADASAR sobre seguridad, duración y causas de interrupción del tratamiento luego de 8 años de seguimiento. Métodos: BIOBADASAR es un registro de seguridad de terapias biológicas establecido por la Sociedad Argentina de Reumatología. Se presenta la descripción de BIOBADASAR 3.0, una cohorte compuesta por 53 centros de Argentina seguidos prospectivamente desde agosto de 2010 hasta enero de 2018.

This article - Recommendations and Guidelines of Integrative Medicine (IM) for COVID-19 Care - was one of the outcomes from an Asia-Pacific Economic Cooperation (APEC) Project (Integrative Medicine (IM) and COVID -19 Care) during the time between May 2022 and March 2023. With the efforts from care providers, researchers, health policy makers and healthcare administrative leaders among APEC economies, the purpose of this file was to provide comprehensive IM systems for COVID-19 care as recommendations and suggestive guidelines including care methods, tools, procedures, symptom conditions and targets selections, and points need to be considered during care applications. All cited COVID-19 care practices have confirmed their efficacy and usefulness either used alone or combined with conventional medicine. This article provides current useful medical information on IM for COVID-19 care which could benefit APEC economies and world health communities on their healthcare system.

"Servingness" is a multidimensional framework detailing how Hispanic Serving Institutions (HSIs) -- which enroll at least 25% Latinx students -- can shift from merely "enrolling" to meaningfully "serving" students holistically. Critically examining how institutional structures facilitate or inhibit servingness is essential for improving institutional efforts focused on student success. Adding to a dearth of literature linking servingness and mentoring, we investigated mentoring program leaders' visions for servingness, along with the strengths and challenges they experience towards serving and mentoring minoritized students. Secondary analysis of interviews with 11 leaders demonstrated that visions of servingness were rooted in promoting "student-centered" and "equity-forward" policies. Strengths included "building belonging" for minoritized students and "implementing high-impact mentoring practices." Importantly, six structural challenges to servingness were identified, such as precarious or "limited funding." These often unexplored viewpoints -- from leaders on-the-ground -- provide vital perspectives and actionable lessons to shift institutional structures in ways that better fulfill a public mission of servingness.

Introducción: Tocilizumab es un anticuerpo monoclonal humanizado anti-receptor de IL-6 que ha demostrado eficacia y seguridad en artritis reumatoidea (AR). Métodos y objetivos: Estudio observacional de cohorte en pacientes con AR moderada a severa tratados con tocilizumab con 6 meses de seguimiento. El objetivo primario fue establecer la adherencia al tratamiento y secundariamente estudiar la efectividad y seguridad.

With the perspective of implementing neuromorphic devices using memristor networks, we present a numerical-computational platform that allows studying their electrical transport properties. It consists of a function that describes the behavior of an individual memristor (which enables the consideration of an experimental case of interest) and a connection diagram between memristors. Using this platform, two-dimensional networks of various sizes are studied,also incorporating environmental effects (such as humidity and temperature). Furthermore, by selecting the electrically accessible ports, the impact of connectivity on the electrical properties of the network is evaluated. The results indicate that, beyond the individual characteristics of the memristors (determined by the particular selected model), the degree of connectivity, the topology of the connections, and the environmental conditions significantly influence the macroscopic electrical response of the networks.

Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.

Aim of study: The loss of forest cover is a global problem that alters ecosystems, contributing to carbon emissions. This study measured the soil organic carbon (SOC) at different soil depths in tropical dry forests of the Huallaga Central in the Peruvian Amazon. Area of study: San Martín Region, Peruvian Amazon. Material and methods: A total of 24 plots of 100 m2 were selected in primary (~200 years), intervened (~50 years since intervention), and deforested forests (10 years ago), with 120 soil samples collected across five depths. Soil texture (hydrometer), bulk density (cylinder method), SOC content, SOC density, and erodibility (K parameter) were calculated. Main results: SOC content in the 0-20 cm soil horizon was 79.5±21.3 t ha-1 for the primary forest, 58.5±11.8 t ha-1 for the intervened forest, and 41.8±10 t ha-1 for the deforested forest. A soil erodibility K of 0.065 was observed for primary forests and 0.076 and 0.093 for intervened and deforested forests. In average, the SOC density obtained in this study was 7.6±5.1 t ha-1 in the primary forest, 6.2±3.6 t ha-1 in the intervened forest, and 4.7±2.7 in the deforested forest. Research highlights: Primary forests had the highest SOC content and SOC density, followed by intervened and deforested forests, while the opposite pattern was found for soil erodibility. These patterns were especially marked in the first 40 cm of soil depth.

Objetivo: estimar la exactitud pronóstica para amputación de miembro inferior de las escalas de pie diabético utilizadas en estudios realizados en América Latina y el Caribe. Materiales y métodos: se incluyó a estudios longitudinales sin restricción de idioma provenientes de Scielo, Embase, PubMed, Web of Science (WOS) y SCOPUS, hasta octubre de 2024. Los estudios registraron la incidencia de amputación mayor o a cualquier nivel según la aplicación de una escala de pie diabético al inicio de la atención médica. Mediante un metaanálisis se estimó la sensibilidad, especificidad, razón de verosimilitud (LR, del inglés likelihood ratio) positiva (LR+) y negativa (LR-), odds ratio diagnóstico y el área bajo la curva ROC. El riesgo de sesgo fue evaluado utilizando la herramienta QUADAS-2 y la certeza de la evidencia se analizó según GRADE. Resultados: se incluyeron a 15 artículos y se identificaron cinco escalas: IDSA, San Elián, Wifi, Meggitt-Wagner (con umbrales 3 y 4) y Universidad de Texas, provenientes de nueve países. Para amputación a cualquier nivel, la clasificación que mostró la mayor sensibilidad para ambos desenlaces fue la escala Meggitt-Wagner en el umbral de grado 3 con valores de 0,91. La escala San Elián presentó la mayor especificidad con un valor de 0,92. El LR+ más significativo correspondió a San Elián con un valor de 4,1, mientras que el LR- de mayor impacto fue el de Meggitt-Wagner en categoría 3 con un valor de 0,20. Las 15 evaluaciones GRADE revelaron una certeza de evidencia muy baja. Conclusión: la escala Merritt-Wagner en el umbral de grado 3 y la escala San Elián demostraron la mayor sensibilidad y especificidad, respectivamente. Sin embargo, nuestra investigación muestra importantes limitaciones, como déficits en el reporte de seguimiento, elevada heterogeneidad y número limitado de estudios, lo que explica la muy baja certeza de la evidencia. Se requiere la realización de estudios con un mayor rigor metodológico en nuestra región.

The Luna Analog Facility, a joint ESA-DLR endeavour, consists of three components and spans an area of 1,000 m2, providing testbeds of simulated lunar environments. The main sections within the facility are a large area filled with lunar mare regolith simulant resembling mare regions and a smaller, individual “Dust Chamber”. The latter replicates highland conditions and contains approximately 20 tons of material, specifically simulating the fine-particle lunar regolith portion up to 250 µm. The Dust Chamber serves as a platform for testing various technologies, such as mechanical tools, robotic operations, in-situ resource utilization activities, and astronaut attire, as well as different procedures including rover and astronaut tasks. This work represents the geotechnical, geochemical and mineralogical characterization of the Lumina Sustainable Materials Ltd. 2023 batch highland simulants, from which Lunar250 is intended for use in the Luna Dust Chamber. Additionally, this work provides new results for ESA’s mare simulant, EAC-1. We provide data on particle size distribution, particle shape, abrasivity, density, water content, major and trace element geochemistry and modal mineralogy. As the simulants in the Luna Facility will be constantly overseen, this work organized by the Vulcan Facility (ESA) intends to support the monitoring of the geotechnical property variations of the simulants over time. Ultimately, we analysed several properties with different tools to emphasize how different methods and instruments affect the variability and reliability of the results.

We report a new altitudinal record for Bothrops bilineatus (Wied-Neuwied, 1821) in the department of Cochabamba, Bolivia, based on verifiable records from the Yungas ecoregion of the department. This work not only corroborates the highest record for Bolivia, but also extends the record of the species by more than 50 km to the southeast, from the closest record in Villa Tunari, Cochabamba, Bolivia. The first record of the species for the Yungas ecoregion in Bolivia is formally confirmed. The highest record for the species in South America is also confirmed.

EEste estudio reporta por primera vez la presencia de Anchotatus peruvianus y Microcoema sp. a una altitud superior a 4200 m s.n.m. en Cajatambo, Perú. Este hallazgo también establece un nuevo registro altitudinal para la familia en Perú. La investigación invita a que se realicen más investigaciones sobre la familia a fin de tener más información actualizada para usarla en futuras investigaciones.

En el siglo XVIII, durante el virreinato del Perú, la mina Cerro de Pasco inició la explotación de plata y plomo, actividad que persiste hasta la actualidad y que continúa contaminando con metales pesados el suelo y las aguas de la cuenca del río San Juan, en el departamento de Pasco. Con el fin de analizar la eficacia de las algas verdes altoandinas Mougeotia sp. y Spirogyra sp. en la bioremoción de cobre y plomo, se recolectaron muestras de ambas especies en el río San Juan, y tras cultivarlas en medio de cultivo Chu 10. El estudio se realizó con un diseño experimental factorial de 3 x 3 x 2 (3 indican los tres tratamientos de cobre y de plomo, y 2 son las dos especies de algas verdes filamentosas), con 5 repeticiones por tratamiento. Los resultados mostraron tanto Mougeotia sp. y Spirogyra sp. con el tratamiento de 30 mg L-1 de plomo lograron las eficiencias de remoción más elevadas, del 97 % y 87,6 % de bioremoción de plomo, respectivamente. Ambas especies registraron una notable capacidad de bioremoción de plomo y cobre, empero con disminución significativa en su biomasa y en el contenido de clorofila a.

IntroductionSecondary forests and coffee cultivation systems with shade trees might have great potential for carbon sequestration as a means of climate change adaptation and mitigation. This study aimed to measure carbon stocks in coffee plantations under different managements and secondary forest systems in the Peruvian Amazon rainforest (San Martín Region).MethodsThe carbon stock in secondary forest trees was estimated using allometric equations, while carbon stocks in soil, herbaceous biomass, and leaf litter were determined through sampling and laboratory analysis.ResultsThe biomass carbon stock in secondary forests was 132.2 t/ha, while in coffee plantations with Inga sp. shade trees was 118.2 t/ha. Carbon stocks were 76.5 t/ha in coffee with polyculture farming, while the lowest amount of carbon was found in coffee without shade trees (31.1 t/ha). The carbon sequestered by coffee plants in all agroforestry systems examined had an average of 2.65 t/ha, corresponding to 4.63 % of the total carbon sequestered, being the highest stored in the coffee system with Inga sp. shade trees. A higher content of glomalin-related soil proteins (GRSP) was found in coffee without shade trees, with 18.5 mg/g.DiscussionThese results point to Inga sp. as a compatible model of shade system for coffee farms. However, broader-scale time-average measurements and carbon dioxide emissions should be assessed in these study systems to have a full understanding of their climate impacts.

The Critical Assessment of Massive Data Analysis (CAMDA) addresses the complexities of harnessing Big Data in life sciences by hosting annual competitions that inspire research groups to develop innovative solutions. In 2023, the Forensic Challenge focused on identifying the city of origin for 365 metagenomic samples collected from public transportation systems and identifying associations between bacterial distribution and other covariates. For microbiome classification, we incorporated both taxonomic and functional annotations as features. To identify the most informative Operational Taxonomic Units, we selected features by fitting negative binomial models. We then implemented supervised models conducting 5-fold cross-validation (CV) with a 4:1 training-to-validation ratio. After variable selection, which reduced the dataset to fewer than 300 OTUs, the Support Vector Classifier achieved the highest F1 score (0.96). When using functional features from MIFASER, the Neural Network model outperformed other models. When considering climatic and demographic variables of the cities, Dirichlet regression over Escherichia, Enterobacter, and Klebsiella bacteria abundances suggests that population increase is indeed associated with a rise in the mean of Escherichia while decreasing temperature is linked to higher proportions of Klebsiella. This study validates microbiome classification using taxonomic features and, to a lesser extent, functional features. It shows that demographic and climatic factors influence urban microbial distribution. A Docker container and a Conda environment are available at the repository: GitHub facilitating broader adoption and validation of these methods by the scientific community.

Introducción: el proyecto BIOBADASAR (Registro argentino de eventos adversos con tratamientos biológicos en reumatología) comenzó en agosto de 2010, para recabar información a largo plazo sobre los eventos adversos en tratamientos biológicos en pacientes con enfermedades reumáticas en la práctica clínica cotidiana en Argentina.

A variety of ecosystems can be found on the eastern flank of the Peruvian Andean-Amazonian piedmont. Amongst these, seasonally flooded forests (which include many peatlands) have attracted scientific attention because of the ecosystem services they provide. Our research was conducted in the Tingana flooded forests situated in the Alto Mayo Valley, San Martin (Peru). The canopies and branches of phorophytes (epiphyte-bearing plants) located within fourteen 20 × 20 m plots at two study sites were accessed using climbing equipment, and 107 epiphytic species were recorded. The epiphyte genera with the highest diversity were Epidendrum (15 species), Asplenium (7 species), Anthurium (6 species) and Peperomia (5 species), and the phorophyte with the highest epiphyte diversity was Ficus trigona. The richness estimators (Chao1 and ACE) accounted for > 75.3 % of the species present, with Stratum III being the most abundant and diverse. Demographic studies will be needed to comprehend the potential consequences of climate change for the epiphyte communities of flooded forests as they recover from disturbance.

Los ecosistemas tropicales, reconocidos por su alta biodiversidad, desempeñan un rol fundamental en la regulación del clima global. Entre éstos, los renacales, caracterizados por su naturaleza inundable y la dominancia de especies como Ficus trigona, Coussapoa trinervia, Virola sp. e Inga sp., son particularmente interesantes pero poco estudiados. La presente investigación se realizó en los renacales de la Reserva Ecológica Tingana, donde se documentó la presencia de jardines de hormigas, sugiriendo que estas formaciones vegetales brindan un hábitat propicio para interacciones simbióticas. Los géneros de hormigas Camponotus sp. y Azteca sp. fueron identificados en los jardines de hormigas destacando su importancia en este ecosistema. Este hallazgo representa un avance significativo en el estudio de las interacciones simbióticas en estos ecosistemas con grandes vacíos de información.

Searching for positive selection signals across genomes has identified functional genetic variants responding to environmental change. In Native Americans of Mexico, we used the fixation index (Fst) and population branch statistic (PBS) to identify SNPs suggesting positive selection. The 103 most differentiated SNPs were tested for associations with metabolic traits, the most significant association was FADS2/rs174616 with body mass index (BMI). This variant lies within a linkage disequilibrium (LD) block independent of previously reported FADS selection signals and has not been clearly associated with metabolic phenotypes. We tested this variant in two independent cohorts with cardiometabolic data. In the Genetics of Atherosclerotic Disease (GEA) cohort, the derived allele (T) was associated with increased BMI, lower LDL-C levels and a decreased risk of subclinical atherosclerosis in women. Significant gene-diet interactions affected lipid, apolipoprotein and adiponectin levels with differences according to sex, involving mainly total and complex dietary carbohydrate%. In the Genotype-related Effects of PUFA trial, the derived allele was associated with lower Δ-6 desaturase activity and erythrocyte membrane dihomo-gamma-linolenic acid (DGLA) levels, and with increased Δ-5 desaturase activity and eicosapentaenoic acid levels. This variant interacted with dietary carbohydrate% affecting Δ-6 desaturase activity. Notably, the relationship of DGLA and other erythrocyte membrane LC-PUFA indices with HOMA-IR differed according to rs174616 genotype, which has implications regarding how these indices should be interpreted. In conclusion, this observational study identified rs174616 as a signal suggesting selection in an independent linkage disequilibrium block, was associated with cardiometabolic and erythrocyte measurements of LC-PUFA in two independent Mexican cohorts and showed significant gene-diet interactions.