Particulate air pollution (pm2.5 and pm10) and medical consultations due to respiratory disease in Medellín (2008-2009)

ABSTRACT: Scientific evidence shows how air pollution has negative effects on human health. Medellin city (Colombia) has high levels of air pollution (according to Redaire’s measurements) as well as a high rate of medical and emergency consultations due to respiratory disease (according to Metrosalud’s measurements). Objective: to show statistical evidence of the positive relationship between pollution due to pm2.5 and pm10 particulate matter and the medical and emergency consultations due to respiratory diseases (asthma, bronchitis, infections, and rhinitis). Methodology: a number of time series models were applied on daily records of pm10 and pm2.5 particles. A total of ten models were calculated using ordinary least squares (OLS) with White’s correction in order to adjust heteroskedasticity problems. Initially, five models were used for the consultations caused by respiratory disease and pm10 particles. Then, five additional models were used for the consultations caused by respiratory diseases and pm2.5 particles. Results: particulate air pollution leads to respiratory disease, thus becoming a public health problem in Medellín, Colombia.RESUMEN: La evidencia científica muestra cómo la contaminación del aire genera efectos negativos en la salud humana. En Medellín, Colombia, se registra un alto nivel de contaminación del aire por material particulado (medido por Redaire) y un considerable volumen de consultas externas y por urgencias a causa de enfermedades respiratorias, medidas por Metrosalud. Objetivo: presentar evidencia estadística de la relación positiva entre contaminación por material particulado pm2,5 y pm10 y las consultas externas y por urgencia debidas a enfermedades respiratorias (asma, bronquitis, infecciones, rinitis). Metodología: se emplearon modelos de series de tiempo sobreregistros diarios de medición para pm10 y pm2,5; se estimaron diez modelos por mínimos cuadrados ordinarios con corrección de White para ajustar problemas de heterocedasticidad; cinco modelos con consultas por enfermedades respiratorias y pm10; y cinco modelos con consultas por enfermedades respiratorias y pm2,5. Resultados: se concluye que la contaminación del aire por material particulado provoca problemas respiratorios y, en consecuencia, es un problema de salud pública en Medellín

Evaluation of monocytes as carriers for armed oncolytic adenoviruses in murine and Syrian hamster models of cancer

Replication-competent (oncolytic) adenoviruses (OAV) can be adapted as vectors for the delivery of therapeutic genes, with the aim of extending the antitumor effect beyond direct cytolysis. Transgene expression using these vectors is usually intense but short-lived, and repeated administrations are hampered by the rapid appearance of neutralizing antibodies (NAbs). We have studied the performance of monocytes as cell carriers to improve transgene expression in cancer models established in athymic mice and immunocompetent Syrian hamsters. Human and hamster monocytic cell lines (MonoMac6 and HM-1, respectively) were loaded with replication-competent adenovirus-expressing luciferase. Intravenous administration of these cells caused a modest increase in transgene expression in tumor xenografts, but this effect was virtually lost in hamsters. In contrast, intratumoral administration of HM-1 cells allowed repeated cycles of expression and achieved partial protection from NAbs in preimmunized hamsters bearing pancreatic tumors. To explore the therapeutic potential of this approach, HM-1 cells were loaded with a hypoxia-inducible OAV expressing the immunostimulatory cytokine interleukin-12 (IL-12). Three cycles of treatment achieved a significant antitumor effect in the hamster model, and transgene expression was detected following each administration, in contrast with the rapid neutralization of the free virus. We propose monocytes as carriers for multiple intratumoral administrations of armed OAVs

New strategies for echocardiographic evaluation of left ventricular function in a mouse model of long-term myocardial infarction

In summary, we have performed a complete characterization of LV post-infarction remodeling in a DBA/2J mouse model of MI, using parameters adapted to the particular characteristics of the model In the future, this well characterized model will be used in both investigative and pharmacological studies that require accurate quantitative monitoring of cardiac recovery after myocardial infarction

Functional benefits of PLGA particulates carrying VEGF and CoQ10 in an animal of myocardial ischemia

Myocardial ischemia (MI) remains one of the leading causes of death worldwide. Angiogenic therapy with the vascular endothelial growth factor (VEGF) is a promising strategy to overcome hypoxia and its consequences. However, from the clinical data it is clear that fulfillment of the potential of VEGF warrants a better delivery strategy. On the other hand, the compelling evidences of the role of oxidative stress in diseases like MI encourage the use of antioxidant agents. Coenzyme Q10 (CoQ10) due to its role in the electron transport chain in the mitochondria seems to be a good candidate to manage MI but is associated with poor biopharmaceutical properties seeking better delivery approaches. The female Sprague Dawley rats were induced MI and were followed up with VEGF microparticles intramyocardially and CoQ10 nanoparticles orally or their combination with appropriate controls. Cardiac function was assessed by measuring ejection fraction before and after three months of therapy. Results demonstrate significant improvement in the ejection fraction after three months with both treatment forms individually; however the combination therapy failed to offer any synergism. In conclusion, VEGF microparticles and CoQ10 nanoparticles can be considered as promising strategies for managing MI

TRY plant trait database - enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data