Characterizing SL2S galaxy groups using the Einstein radius

We analyzed the Einstein radius, $\theta_E$, in our sample of SL2S galaxy groups, and compared it with $R_A$ (the distance from the arcs to the center of the lens), using three different approaches: 1.- the velocity dispersion obtained from weak lensing assuming a Singular Isothermal Sphere profile ($\theta_{E,I}$), 2.- a strong lensing analytical method ($\theta_{E,II}$) combined with a velocity dispersion-concentration relation derived from numerical simulations designed to mimic our group sample, 3.- strong lensing modeling ($\theta_{E,III}$) of eleven groups (with four new models presented in this work) using HST and CFHT images. Finally, $R_A$ was analyzed as a function of redshift $z$ to investigate possible correlations with L, N, and the richness-to-luminosity ratio (N/L). We found a correlation between $\theta_{E}$ and $R_A$, but with large scatter. We estimate $\theta_{E,I}$ = (2.2 $\pm$ 0.9) + (0.7 $\pm$ 0.2)$R_A$, $\theta_{E,II}$ = (0.4 $\pm$ 1.5) + (1.1 $\pm$ 0.4)$R_A$, and $\theta_{E,III}$ = (0.4 $\pm$ 1.5) + (0.9 $\pm$ 0.3)$R_A$ for each method respectively. We found a weak evidence of anti-correlation between $R_A$ and $z$, with Log$R_A$ = (0.58$\pm$0.06) - (0.04$\pm$0.1)$z$, suggesting a possible evolution of the Einstein radius with $z$, as reported previously by other authors. Our results also show that $R_A$ is correlated with L and N (more luminous and richer groups have greater $R_A$), and a possible correlation between $R_A$ and the N/L ratio. Our analysis indicates that $R_A$ is correlated with $\theta_E$ in our sample, making $R_A$ useful to characterize properties like L and N (and possible N/L) in galaxy groups. Additionally, we present evidence suggesting that the Einstein radius evolves with $z$.Comment: Accepted for publication in Astronomy & Astrophysics. Typos correcte

Dengue Vector Dynamics (Aedes aegypti) Influenced by Climate and Social Factors in Ecuador: Implications for Targeted Control

Background Dengue fever, a mosquito-borne viral disease, is now the fastest spreading tropical disease globally. Previous studies indicate that climate and human behavior interact to influence dengue virus and vector (Aedes aegypti) population dynamics; however, the relative effects of these variables depends on local ecology and social context. We investigated the roles of climate and socio-ecological factors on Ae. aegypti population dynamics in Machala, a city in southern coastal Ecuador where dengue is hyper-endemic. Methods/Principal findings We studied two proximate urban localities where we monitored weekly Ae. aegypti oviposition activity (Nov. 2010-June 2011), conducted seasonal pupal surveys, and surveyed household to identify dengue risk factors. The results of this study provide evidence that Ae. aegypti population dynamics are influenced by social risk factors that vary by season and lagged climate variables that vary by locality. Best-fit models to predict the presence of Ae. aegypti pupae included parameters for household water storage practices, access to piped water, the number of households per property, condition of the house and patio, and knowledge and perceptions of dengue. Rainfall and minimum temperature were significant predictors of oviposition activity, although the effect of rainfall varied by locality due to differences in types of water storage containers. Conclusions These results indicate the potential to reduce the burden of dengue in this region by conducting focused vector control interventions that target high-risk households and containers in each season and by developing predictive models using climate and non-climate information. These findings provide the region's public health sector with key information for conducting time and location-specific vector control campaigns, and highlight the importance of local socio-ecological studies to understand dengue dynamics. See Text S1 for an executive summary in Spanish

Efecto antiinflamatorio de la izalpinina derivada de Chromolaena leivensis: edema de la pata inducido por λ-carragenina y modelo in silico

El flavonoide izalpinina se aisló de las partes aéreas de Chromolaena leivensis. Su determinación estructural se llevó a cabo mediante técnicas espectroscópicas de EM y RMN (1H, 13C). Se evaluó el efecto antiinflamatorio de este compuesto en un modelo de edema plantar inducido por carragenina en ratas. La inflamación de la pata se midió a intervalos de una hora durante siete horas tras la administración de -carragenano. Se evaluaron los niveles séricos de creatina quinasa (CK), obteniéndose resultados estadísticamente significativos con los tratamientos a dosis de 10 mg/kg (* p < 0,01) y 20 mg/kg (** p < 0,005). El efecto antiinflamatorio del compuesto se evaluó mediante pletismografía, y los resultados mostraron diferencias significativas en las tres concentraciones (10 mg/kg, 20 mg/kg, 40 mg/kg) en la primera y tercera hora tras el tratamiento. * p < 0,05; ** p < 0,001; **** p < 0,0001 frente al grupo de control negativo tratado con vehículo (DMSO). Por último, los análisis de acoplamiento molecular revelan que la izalpinina tiene una fuerte afinidad de unión con cinco proteínas diana implicadas en el proceso inflamatorio. El análisis mediante dinámica molecular permitió demostrar que los complejos ligando-proteína presentan una estabilidad aceptable, con valores de RMSD dentro del rango permitido.The flavonoid izalpinin was isolated from the aerial parts of Chromolaena leivensis. Its structural determination was carried out using MS and NMR spectroscopic techniques (1H, 13C). This compound was evaluated for its anti-inflammatory effect in a rat model on -carrageenan-induced plantar edema. Paw inflammation was measured at one-hour intervals for seven hours following the administration of -carrageenan. Serum creatine kinase (CK) levels were evaluated, obtaining statistically significant results with the treatments at doses of 10 mg/kg (* p < 0.01) and 20 mg/kg (** p < 0.005). The anti-inflammatory effect of the compound was evaluated by using plethysmography, and the results showed significant differences at the three concentrations (10 mg/kg, 20 mg/kg, 40 mg/kg) in the first and third hours after treatment. * p < 0.05; ** p < 0.001; **** p < 0.0001 vs. the negative control group treated with vehicle (DMSO). Lastly, molecular docking analyses reveal that izalpinin has a strong binding affinity with five target proteins involved in the inflammatory process. The analysis using molecular dynamics allowed demonstrating that the ligand–protein complexes present acceptable stability, with RMSD values within the allowed range

Biomedicina (Biología, Patobiología Bioclínica y Fármaco-Terapéutica) de la Familia de las Proteínas S100 en la Especie Humana

RESUMEN Las proteínasS100 hacen parte de una familia compuesta por 25 miembros que comparten una estructura común, definida en general por la unión de calcio. Estas son expresadas en forma diferencial en células y tejidos específicos, donde realizan funciones intracelulares o extracelulares, o ambas. Las proteínas S100 están implicadas en la regulación de la fisiología hemato-inmune y neural, la proliferación y division celular, la supervivencia celular y apoptosis, dinámica celular, actividad enzimática y homeostasis del calcio. Su rol en la génesis neoplásica se deduce a partir de estas actividades y de observaciones realizadas cuyo resultado demuestra que las proteínas S100 tienen niveles de expresión alterados en diferentes estadíos y tipos de cáncer. Esta revisión presenta dichos hallazgos y sus implicaciones biomédicas.  Palabras clave: Angiogénesis, Aterosclerosis, Calcio, Cáncer, Calgranulina, Calprotectina, Cobre, Diabetes, Inmunidad, Metástasis, Neoplasia, Neurodegeneración, Psoriasis, Radicales Libres, Zinc.  ABSTRACT The S100 is a protein family up to this date composed of 25 members that share a common structure, defined in general by the calcium binding. These are expressed in a discriminate fashion in specific cells and tissues, have either an intracellular or extracellular function, or both. S100 proteins are implicated in the hemato-immune physiology, neuro-physiology, proliferation and division cellular, cell survival and cell apoptosis, cytoskeleton dynamics, enzyme activity and calcium homeostasis. A role for S100 proteins in neoplasia stems from these activities and from the observation that several S100 proteins have altered levels of expression in different stages and types of cancer. This review summarizes these findings and their biomedic implications.  Key words: Angiogenesis, Atherosclerosis, Calcium, Cancer, Calgranulin, Calprotectin, Copper, Diabetes, Free Radicals, Inmunity, Metastasis, Neoplasie, Neurodegeneration, Psoriasis, Zinc

Biomedicina (Biología, Patobiología Bioclínica y Fármaco-Terapéutica) de la Familia de las Proteínas S100 en la Especie Humana

RESUMEN Las proteínasS100 hacen parte de una familia compuesta por 25 miembros que comparten una estructura común, definida en general por la unión de calcio. Estas son expresadas en forma diferencial en células y tejidos específicos, donde realizan funciones intracelulares o extracelulares, o ambas. Las proteínas S100 están implicadas en la regulación de la fisiología hemato-inmune y neural, la proliferación y division celular, la supervivencia celular y apoptosis, dinámica celular, actividad enzimática y homeostasis del calcio. Su rol en la génesis neoplásica se deduce a partir de estas actividades y de observaciones realizadas cuyo resultado demuestra que las proteínas S100 tienen niveles de expresión alterados en diferentes estadíos y tipos de cáncer. Esta revisión presenta dichos hallazgos y sus implicaciones biomédicas.  Palabras clave: Angiogénesis, Aterosclerosis, Calcio, Cáncer, Calgranulina, Calprotectina, Cobre, Diabetes, Inmunidad, Metástasis, Neoplasia, Neurodegeneración, Psoriasis, Radicales Libres, Zinc.  ABSTRACT The S100 is a protein family up to this date composed of 25 members that share a common structure, defined in general by the calcium binding. These are expressed in a discriminate fashion in specific cells and tissues, have either an intracellular or extracellular function, or both. S100 proteins are implicated in the hemato-immune physiology, neuro-physiology, proliferation and division cellular, cell survival and cell apoptosis, cytoskeleton dynamics, enzyme activity and calcium homeostasis. A role for S100 proteins in neoplasia stems from these activities and from the observation that several S100 proteins have altered levels of expression in different stages and types of cancer. This review summarizes these findings and their biomedic implications.  Key words: Angiogenesis, Atherosclerosis, Calcium, Cancer, Calgranulin, Calprotectin, Copper, Diabetes, Free Radicals, Inmunity, Metastasis, Neoplasie, Neurodegeneration, Psoriasis, Zinc

Spatiotemporal clustering, climate periodicity, and social-ecological risk factors for dengue during an outbreak in Machala, Ecuador, in 2010

Background: Dengue fever, a mosquito-borne viral disease, is a rapidly emerging public health problem in Ecuador and throughout the tropics. However, we have a limited understanding of the disease transmission dynamics in these regions. Previous studies in southern coastal Ecuador have demonstrated the potential to develop a dengue early warning system (EWS) that incorporates climate and non-climate information. The objective of this study was to characterize the spatiotemporal dynamics and climatic and social-ecological risk factors associated with the largest dengue epidemic to date in Machala, Ecuador, to inform the development of a dengue EWS. Methods: The following data from Machala were included in analyses: neighborhood-level georeferenced dengue cases, national census data, and entomological surveillance data from 2010; and time series of weekly dengue cases (aggregated to the city-level) and meteorological data from 2003 to 2012. We applied LISA and Moran’s I to analyze the spatial distribution of the 2010 dengue cases, and developed multivariate logistic regression models through a multi-model selection process to identify census variables and entomological covariates associated with the presence of dengue at the neighborhood level. Using data aggregated at the city-level, we conducted a time-series (wavelet) analysis of weekly climate and dengue incidence (2003-2012) to identify significant time periods (e.g., annual, biannual) when climate co-varied with dengue, and to describe the climate conditions associated with the 2010 outbreak. Results: We found significant hotspots of dengue transmission near the center of Machala. The best-fit model to predict the presence of dengue included older age and female gender of the head of the household, greater access to piped water in the home, poor housing condition, and less distance to the central hospital. Wavelet analyses revealed that dengue transmission co-varied with rainfall and minimum temperature at annual and biannual cycles, and we found that anomalously high rainfall and temperatures were associated with the 2010 outbreak. Conclusions: Our findings highlight the importance of geospatial information in dengue surveillance and the potential to develop a climate-driven spatiotemporal prediction model to inform disease prevention and control interventions. This study provides an operational methodological framework that can be applied to understand the drivers of local dengue risk

Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight

Indexación: Web of Science; PubMedBackground Berry size is considered as one of the main selection criteria in table grape breeding programs. However, this is a quantitative and polygenic trait, and its genetic determination is still poorly understood. Considering its economic importance, it is relevant to determine its genetic architecture and elucidate the mechanisms involved in its expression. To approach this issue, an RNA-Seq experiment based on Illumina platform was performed (14 libraries), including seedless segregants with contrasting phenotypes for berry weight at fruit setting (FST) and 6–8 mm berries (B68) phenological stages. Results A group of 526 differentially expressed (DE) genes were identified, by comparing seedless segregants with contrasting phenotypes for berry weight: 101 genes from the FST stage and 463 from the B68 stage. Also, we integrated differential expression, principal components analysis (PCA), correlations and network co-expression analyses to characterize the transcriptome profiling observed in segregants with contrasting phenotypes for berry weight. After this, 68 DE genes were selected as candidate genes, and seven candidate genes were validated by real time-PCR, confirming their expression profiles. Conclusions We have carried out the first transcriptome analysis focused on table grape seedless segregants with contrasting phenotypes for berry weight. Our findings contributed to the understanding of the mechanisms involved in berry weight determination. Also, this comparative transcriptome profiling revealed candidate genes for berry weight which could be evaluated as selection tools in table grape breeding programs.http://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-016-0789-

Efficacy and safety of preoperative preparation with Lugol''s iodine solution in euthyroid patients with Graves’ disease (LIGRADIS Trial): Study protocol for a multicenter randomized trial

Background: Currently, both the American Thyroid Association and the European Thyroid Association recommend preoperative preparation with Lugol''s Solution (LS) for patients undergoing thyroidectomy for Graves’ Disease (GD), but their recommendations are based on low-quality evidence. The LIGRADIS trial aims to provide evidence either to support or refute the systematic use of LS in euthyroid patients undergoing thyroidectomy for GD. Methods: A multicenter randomized controlled trial will be performed. Patients =18 years of age, diagnosed with GD, treated with antithyroid drugs, euthyroid and proposed for total thyroidectomy will be eligible for inclusion. Exclusion criteria will be prior thyroid or parathyroid surgery, hyperparathyroidism that requires associated parathyroidectomy, thyroid cancer that requires adding a lymph node dissection, iodine allergy, consumption of lithium or amiodarone, medically unfit patients (ASA-IV), breastfeeding women, preoperative vocal cord palsy and planned endoscopic, video-assisted or remote access surgery. Between January 2020 and January 2022, 270 patients will be randomized for either receiving or not preoperative preparation with LS. Researchers will be blinded to treatment assignment. The primary outcome will be the rate of postoperative complications: hypoparathyroidism, recurrent laryngeal nerve injury, hematoma, surgical site infection or death. Secondary outcomes will be intraoperative events (Thyroidectomy Difficulty Scale score, blood loss, recurrent laryngeal nerve neuromonitoring signal loss), operative time, postoperative length of stay, hospital readmissions, permanent complications and adverse events associated to LS. Conclusions: There is no conclusive evidence supporting the benefits of preoperative treatment with LS in this setting. This trial aims to provide new insights into future Clinical Practice Guidelines recommendations. Trial registration: ClinicalTrials.gov identifier: NCT03980132. © 202

Development Refractoriness of MLL-Rearranged Human B Cell Acute Leukemias to Reprogramming into Pluripotency

Induced pluripotent stem cells (iPSCs) are a powerful tool for disease modeling. They are routinely generated from healthy donors and patients from multiple cell types at different developmental stages. However, reprogramming leukemias is an extremely inefficient process. Few studies generated iPSCs from primary chronic myeloid leukemias, but iPSC generation from acute myeloid or lymphoid leukemias (ALL) has not been achieved. We attempted to generate iPSCs from different subtypes of B-ALL to address the developmental impact of leukemic fusion genes. OKSM(L)-expressing mono/polycistronic-, retroviral/lentiviral/episomal-, and Sendai virus vector-based reprogramming strategies failed to render iPSCs in vitro and in vivo. Addition of transcriptomic-epigenetic reprogramming ‘‘boosters’’ also failed to generate iPSCs from B cell blasts and B-ALL lines, and when iPSCs emerged they lacked leukemic fusion genes, demonstrating non-leukemic myeloid origin. Conversely, MLL-AF4-overexpressing hematopoietic stem cells/B progenitors were successfully reprogrammed, indicating that B cell origin and leukemic fusion gene were not reprogramming barriers. Global transcriptome/DNA methylome profiling suggested a developmental/differentiation refractoriness of MLL-rearranged B-ALL to reprogramming into pluripotency