Streptomyces N2A, an endophytic actinobacteria that promotes soybean growth and increases yield and seed quality under field conditions.

Sustainable agriculture based on the use of soil-beneficial microbes such as plant growth-promoting rhizobacteria (PGPR) and biocontrol agents (BCA) is gaining great consideration to reduce the use of agrochemicals for crop production. With this aim, in this study, a total of 78 actinobacteria were isolated from the rhizosphere and endosphere of soybean roots. Based on in vitro compatibility with Bradyrhizobium japonicum, the ability to produce phytohormones, siderophores, exo-enzymes, antifungal compounds and phosphate solubilization (PGPR traits), two endophytic strains, named N2A and N9, were selected to evaluate their effects on plant growth and development at greenhouse and field conditions. Greenhouse trials showed significantly promoted seedling emergence compared to control and the conventional fungicide treatment. Analysis of growth and development associated parameters at reproductive stages and maturity at greenhouse, but also and most importantly, in field experiments showed significant improvements. Plant biomass, node number, pod number, and consequently yield, were higher in plants previously treated with N2A and co-inoculated with B. japonicum compared to the conventional seed treatment. Furthermore, a significant increase in health status and vigor was observed for seeds harvested from the N2A-treated plants in relation to seeds obtained from the conventional treatment. Thus, we demonstrated that Streptomyces sp. N2A can replace traditional chemical fungicides to protect the seed during germination, allowing good implantation, but also, stimulating the growth and development of soybean crop increasing yield and seed quality at field conditions. Altogether, this supports the potential use of Streptomyces N2A as a PGPR for soybean crop production more efficiently and sustainably.

Priming crop plants with rosemary (Salvia rosmarinus Spenn, syn Rosmarinus officinalis L.) extract triggers protective defense response against pathogens.

Plant bioactive compounds provide novel straightforward approaches to control plant diseases. Rosemary (Salvia rosmarinus)-derived extracts carry many prominent pharmacological activities, including antimicrobial and antioxidant, mainly due to its phenolic compounds, rosmarinic acid (RA), carnosic acid and carnosol. However, the effects of these extracts on plant diseases are still unknown, which constrains its potential application as bioprotectant in the agricultural production. In this study we demonstrate the antiviral effect of the aqueous rosemary extract (ARE) against tobacco necrosis virus strain A (TNVA) in ARE-treated tobacco (Nicotiana tabacum) plants. Our results show that ARE-treatment enhances plant defense response, contributing to reduce virus replication and systemic movement in tobacco plants. RA, the main phenolic compound detected in this extract, is one of the main inducers of TNVA control. The ARE-induced protection in TNVA-infected plants was characterized by the expression of H2O2 scavengers and defense-related genes, involving salicylic acid- and jasmonic acid-regulated pathways. Furthermore, treatment with ARE in lemon (Citrus limon) and soybean (Glycine max) leaves protects the plants against Xanthomonas citri subsp. citri and Diaporthe phaseolorum var. meridionalis, respectively. Additionally, ARE treatment also promotes growth and development, suggesting a biostimulant activity in soybean. These results open the way for the potential use of ARE as a bioprotective agent in disease management.

Do we treat dementia of the Alzheimer type or Alzheimer's disease? Anti-dementia drugs in the era of biomarkers / ¿Tratamos la demencia tipo Alzheimer o la enfermedad de Alzheimer? Fármacos antidemenciales en la era de los biomarcadores.

Approved drug treatments for Alzheimer´s disease (AD) are symptomatic and don´t modify the disease course. These include acetylcholinesterase inhibitors (AchI) and N-methyl-D-aspartate receptor antagonist, memantine. Around 20 years ago, these drugs were approved for Alzheimer type Dementia. This wasbased on clinical trials which inclusion criteria were focused on a clinical amnestic AD presentation. At that time, subjects with an atypical AD clinical presentation or biomarkers were not included in the pharmacological trials. New biomarkers that detect amyloid and neurodegeneration have allowed us to evaluate pathological changes compatible with AD. These new advances from aclinical and biomarkers perspective allowed a diagnostic criteria update; going from an exclusively clinical criteria to one that is hybrid: clinical presentation and biomarkers based criteria.New biomarkers facilitate the early diagnosis of AD and other dementias.However, they also generate new challenges and questions regarding the adequate pharmacological treatment.There is a need for clinical trials that evaluate anti-dementia drug's efficacy based on current diagnostic criteria (clinical profile and biomarkers) and new practice guidelines. In addition, regulatory authorities should update ACHI and memantine indications.This will help doctors to prescribe the best possible treatment for this specific population without increasing risks.

Los tratamientos farmacológicos aprobados para la enfermedad de Alzheimer (EA) son sintomáticos y no modifican el curso de la enfermedad. Estos incluyen inhibidores de la acetilcolinesterasa (IACE) y el antagonista del receptor de N-metil-D-aspartato, memantina. Estos medicamentos fueron aprobados para la demencia de tipo Alzheimer (DTA) hace unos 20 años, basándose en ensayos clínicos centrados en la presentación clínica amnésica de la EA sin considerar biomarcadores o presentaciones clínicas atípicas de EA. Los nuevos biomarcadores que detectan amiloide y neurodegeneración nos han permitido evaluar cambios patológicos compatibles con la EA. Estos nuevos avances desde la perspectiva de los biomarcadores y clínicos han llevado a una actualización de los criterios diagnósticos, pasando de criterios exclusivamente clínicos a criterios híbridos: clínicos y basados en marcadores. Estos biomarcadores facilitan el diagnóstico precoz de la EA y otras demencias; sin embargo, a veces generan desafíos y replanteos en relación al tratamiento farmacológico adecuado. Sería útil implementar ensayos clínicos que evalúen la eficacia de los fármacos aprobados para la enfermedad de Alzheimer, en su momento con criterios de demencia tipo Alzheimer en función de los criterios diagnósticos actuales (perfil clínico y biomarcadores). Además, la actualización de la indicación de prescripción de IACE y memantina por parte de las autoridades regulatorias especificando con más detalle la población objetivo ayudaría a prescribir el mejor tratamiento posible a los pacientes sin aumentar los riesgos.

Using blood data for the differential diagnosis and prognosis of motor neuron diseases: a new dataset for machine learning applications.

Early differential diagnosis of several motor neuron diseases (MNDs) is extremely challenging due to the high number of overlapped symptoms. The routine clinical practice is based on clinical history and examination, usually accompanied by electrophysiological tests. However, although previous studies have demonstrated the involvement of altered metabolic pathways, biomarker-based monitoring tools are still far from being applied. In this study, we aim at characterizing and discriminating patients with involvement of both upper and lower motor neurons (i.e., amyotrophic lateral sclerosis (ALS) patients) from those with selective involvement of the lower motor neuron (LMND), by using blood data exclusively. To this end, in the last ten years, we built a database including 692 blood data and related clinical observations from 55 ALS and LMND patients. Each blood sample was described by 108 analytes. Starting from this outstanding number of features, we performed a characterization of the two groups of patients through statistical and classification analyses of blood data. Specifically, we implemented a support vector machine with recursive feature elimination (SVM-RFE) to automatically diagnose each patient into the ALS or LMND groups and to recognize whether they had a fast or slow disease progression. The classification strategy through the RFE algorithm also allowed us to reveal the most informative subset of blood analytes including novel potential biomarkers of MNDs. Our results show that we successfully devised subject-independent classifiers for the differential diagnosis and prognosis of ALS and LMND with remarkable average accuracy (up to 94%), using blood data exclusively.

Exploring the performance of a functionalized CNT-based sensor array for breathomics through clustering and classification algorithms: from gas sensing of selective biomarkers to discrimination of chronic obstructive pulmonary disease.

An array of carbon nanotube (CNT)-based sensors was produced for sensing selective biomarkers and evaluating breathomics applications with the aid of clustering and classification algorithms. We assessed the sensor array performance in identifying target volatiles and we explored the combination of various classification algorithms to analyse the results obtained from a limited dataset of exhaled breath samples. The sensor array was exposed to ammonia (NH3), nitrogen dioxide (NO2), hydrogen sulphide (H2S), and benzene (C6H6). Among them, ammonia (NH3) and nitrogen dioxide (NO2) are known biomarkers of chronic obstructive pulmonary disease (COPD). Calibration curves for individual sensors in the array were obtained following exposure to the four target molecules. A remarkable response to ammonia (NH3) and nitrogen dioxide (NO2), according to benchmarking with available data in the literature, was observed. Sensor array responses were analyzed through principal component analysis (PCA), thus assessing the array selectivity and its capability to discriminate the four different target volatile molecules. The sensor array was then exposed to exhaled breath samples from patients affected by COPD and healthy control volunteers. A combination of PCA, supported vector machine (SVM), and linear discrimination analysis (LDA) shows that the sensor array can be trained to accurately discriminate healthy from COPD subjects, in spite of the limited dataset.

Development of a Sensing Array for Human Breath Analysis Based on SWCNT Layers Functionalized with Semiconductor Organic Molecules.

A sensor array based on heterojunctions between semiconducting organic layers and single walled carbon nanotube (SWCNT) films is produced to explore applications in breathomics, the molecular analysis of exhaled breath. The array is exposed to gas/volatiles relevant to specific diseases (ammonia, ethanol, acetone, 2-propanol, sodium hypochlorite, benzene, hydrogen sulfide, and nitrogen dioxide). Then, to evaluate its capability to operate with real relevant biological samples the array is exposed to human breath exhaled from healthy subjects. Finally, to provide a proof of concept of its diagnostic potential, the array is exposed to exhaled breath samples collected from subjects with chronic obstructive pulmonary disease (COPD), an airway chronic inflammatory disease not yet investigated with CNT-based sensor arrays, and breathprints are compared with those obtained from of healthy subjects. Principal component analysis shows that the sensor array is able to detect various target gas/volatiles with a clear fingerprint on a 2D subspace, is suitable for breath profiling in exhaled human breath, and is able to distinguish subjects with COPD from healthy subjects based on their breathprints. This classification ability is further improved by selecting the most responsive sensors to nitrogen dioxide, a potential biomarker of COPD.

PthA4AT , a 7.5-repeats transcription activator-like (TAL) effector from Xanthomonas citri ssp. citri, triggers citrus canker resistance.

Transcription activator-like effectors (TALEs) are important effectors of Xanthomonas spp. that manipulate the transcriptome of the host plant, conferring susceptibility or resistance to bacterial infection. Xanthomonas citri ssp. citri variant AT (X. citri AT ) triggers a host-specific hypersensitive response (HR) that suppresses citrus canker development. However, the bacterial effector that elicits this process is unknown. In this study, we show that a 7.5-repeat TALE is responsible for triggering the HR. PthA4AT was identified within the pthA repertoire of X. citri AT followed by assay of the effects on different hosts. The mode of action of PthA4AT was characterized using protein-binding microarrays and testing the effects of deletion of the nuclear localization signals and activation domain on plant responses. PthA4AT is able to bind DNA and activate transcription in an effector binding element-dependent manner. Moreover, HR requires PthA4AT nuclear localization, suggesting the activation of executor resistance (R) genes in host and non-host plants. This is the first case where a TALE of unusually short length performs a biological function by means of its repeat domain, indicating that the action of these effectors to reprogramme the host transcriptome following nuclear localization is not limited to 'classical' TALEs.

Soybean-Macrophomina phaseolina-Specific Interactions and Identification of a Novel Source of Resistance.

Charcoal rot, caused by the fungus Macrophomina phaseolina, is an economically important disease of soybean (Glycine max) worldwide. Objectives of the present research were to (i) study the genetic and pathogenic diversity in a collection of M. phaseolina isolates from Argentina and Paraguay and (ii) develop an improved in vitro phenotyping method to evaluate disease response of soybean genotypes to M. phaseolina isolates. Cluster analysis showed no clear association among simple sequence repeat profiles, year of collection, pathogenicity, and geographical origin of the isolates from Argentina and Paraguay. Subsequently, the response of four soybean genotypes against seven M. phaseolina isolates was evaluated in the field and the results were confirmed using the in vitro assay developed. This assay, which is based on root disease development on soybean seedlings, allowed the detection of a differential level of aggressiveness among the isolates on four soybean genotypes. The results suggest the existence of specific interactions among soybean genotypes and M. phaseolina isolates. In addition, cultivar Munasqa RR showed a superior response against M. phaseolina compared with DT 97-4290 (moderately resistant), thus becoming a novel source of resistance to charcoal rot.

Plant responses underlying nonhost resistance of Citrus limon against Xanthomonas campestris pv. campestris.

Citrus is an economically important fruit crop that is severely afflicted by citrus canker, a disease caused by Xanthomonas citri ssp. citri (X. citri); thus, new sustainable strategies to manage this disease are needed. Although all Citrus spp. are susceptible to this pathogen, they are resistant to other Xanthomonas species, exhibiting non-host resistance (NHR), for example, to the brassica pathogen X. campestris pv. campestris (Xcc) and a gene-for-gene host defence response (HDR) to the canker-causing X. fuscans ssp. aurantifolii (Xfa) strain C. Here, we examine the plant factors associated with the NHR of C. limon to Xcc. We show that Xcc induced asymptomatic type I NHR, allowing the bacterium to survive in a stationary phase in the non-host tissue. In C. limon, this NHR shared some similarities with HDR; both defence responses interfered with biofilm formation, and were associated with callose deposition, induction of the salicylic acid (SA) signalling pathway and the repression of abscisic acid (ABA) signalling. However, greater stomatal closure was seen during NHR than during HDR, together with different patterns of accumulation of reactive oxygen species and phenolic compounds and the expression of secondary metabolites. Overall, these differences, independent of Xcc type III effector proteins, could contribute to the higher protection elicited against canker development. We propose that Xcc may have the potential to steadily activate inducible defence responses. An understanding of these plant responses (and their triggers) may allow the development of a sustained and sustainable resistance to citrus canker.

Factors associated with poor sleep quality among HIV-positive individuals in Mexico City / Factores asociados con una mala calidad del sueño en pacientes con VIH en la Ciudad de México

Abstract: Introduction: Sleep quality is commonly impaired in medical disorders, and the HIV-positive population is particularly vulnerable to complaint from sleep disturbances. Objective: To determine the prevalence of poor sleep quality and the factors associated with it, in a population of HIV positive Mexican out patients. Method: A cross sectional study was done. A sample of 367 HIV-positive subjects over 18 years completed a set of self-administered questionnaires: the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale, the Athens Insomnia Scale, and the Beck Depression Inventory. Sociodemographic and clinical data were recorded. Results: Of the respondents, 82.8% (n = 304) were male. The mean age of the patients was 36.6 (SD = 9.4) years, and the mean educational level was 12.2 (SD = 3.8) years. According to the PSQI, 58.6% (n = 215) had poor sleep quality. Poor sleep quality was more common in those who had lived longer with HIV, had started their antiretroviral treatment later, had suboptimal antiretroviral adherence, had a CD4 cell count <200 cells/µL, reported illicit drug use, had concomitant medications, or had insomnia, sleepiness, or depressive symptoms. In multivariate analyses, poor sleep quality was associated with depressive symptoms, illicit drug use, a CD4 count <200 cells/µL, and time elapsed since HIV diagnosis. Discussion and conclusion: Poor sleep quality is common in HIV patients. Early identification of patients with poor sleep quality through vigilance for factors associated with it might facilitate prompt treatment.

Resumen: Introducción: La población seropositiva es particularmente vulnerable a presentar alteraciones del sueño. Objetivo: Determinar la prevalencia y los factores asociados a la mala calidad del sueño en un grupo de pacientes con VIH en la Ciudad de México. Método: Estudio transversal. Se incluyó una muestra de 367 personas con VIH mayores de 18 años. Todos los pacientes contestaron el Índice de Calidad del Sueño de Pittsburgh (PSQI), la Escala de Somnolencia de Epworth, la Escala de Atenas de Iinsomnio y el Inventario de Depresión de Beck. Se recabaron datos sociodemográficos y clínicos. Resultados: El 82.8% (n = 304) de los encuestados eran varones. La edad media fue de 36.6 (DE = 9.4), con escolaridad promedio de 12.2 (DE = 3.8) años. El 58.6% (n = 215) tuvieron una mala calidad del sueño. La mala calidad del sueño fue más común en aquellos con mayor tiempo de haber sido diagnosticados, con mayor retardo en el inicio y adherencia subóptima al tratamiento antirretroviral, con recuento de linfocitos T-CD4+ <200 células/µL, con uso ilícito de drogas y uso de medicamentos concomitantes, o con presencia de insomnio, somnolencia y síntomas depresivos. En el análisis multivariado, la mala calidad del sueño se asoció con síntomas depresivos, uso de drogas ilícitas, un recuento de linfocitos T-CD4+ <200 células/µL y el tiempo desde el diagnóstico de VIH. Discusión y conclusión: La mala calidad del sueño es común en pacientes con VIH. Su identificación temprana a través de la vigilancia de los factores asociados con ella puede facilitar el tratamiento oportuno.

Ozone risk assessment for an Alpine larch forest in two vegetative seasons with different approaches: comparison of POD1 and AOT40.

The upper vegetation belts like larch forests are supposed to be under great pressure because of climate change in the next decades. For this reason, the evaluation of the risks due to abiotic stressors like ozone is a key step. Two different approaches were used here: mapping AOT40 index by means of passive samplers and direct measurements of ozone deposition.Measurements of ozone fluxes using the eddy-correlation technique were carried out for the first time over a larch forest in Paspardo (I) at 1750 m a.s.l. Two field campaigns were run: the first one in 2010 from July to October and the second one in the following year from June to September. Vertical exchange of ozone, energy, and momentum were measured on a tower platform at 26 m above ground level to study fluxes dynamics over this ecosystem. Since the tower was located on a gentle slope, an "ad hoc" methodology was developed to minimize the effects of the terrain inclination. The larch forest uptake was estimated by means of a two-layer model to separate the understorey uptake from the larch one. Even if the total ozone fluxes were generally high, up to 30-40 nmol O3 m-2 s-1 in both years, the stomatal uptake by the larch forest was relatively low (around 15% of the total deposition).Ozone risk was assessed considering the POD1 received by the larch forest and the exposure index AOT40 estimated with both local data and data from the map obtained by the passive samplers monitoring.

A dose-response relationship for marketable yield reduction of two lettuce (Lactuca sativa L.) cultivars exposed to tropospheric ozone in Southern Europe.

The present study investigated the response to ozone (O3) of two cultivars (cv.'Romana' and cv. 'Canasta') of irrigated lettuce grown in an open-top chamber (OTC) experiment in Mediterranean conditions. Two different levels of O3 were applied, ambient O3 in non-filtered OTCs (NF-OTCs) and -40% of ambient O3 in charcoal-filtered OTCs (CF-OTCs), during four consecutive growing cycles. At the end of each growing cycle, the marketable yield (fresh biomass) was assessed while during the growing periods, measurements of the stomatal conductance at leaf level were performed and used to define a stomatal conductance model for calculation of the phytotoxic ozone dose (POD) absorbed by the plants.Results showed that O3 caused statistically significant yield reductions in the first and in the last growing cycle. In general, the marketable yield of the NF-OTC plants was always lower than the CF-OTC plants for both cultivars, with mean reductions of -18.5 and -14.5% for 'Romana' and 'Canasta', respectively. On the contrary, there was no statistically significant difference in marketable yield due to the cultivar factor or to the interaction between O3 and cultivar in any of the growing cycle performed.Dose-response relationships for the marketable relative yield based on the POD values were calculated according to different flux threshold values (Y). The best regression fit was obtained using an instantaneous flux threshold of 6 nmol O3 m-2 s-1 (POD6); the same value was obtained also for other crops. According to the generic lettuce dose-response relationship, an O3 critical level of 1 mmol O3 m-2 of POD6 for a 15% of marketable yield loss was found.

Resistance to citrus canker induced by a variant of Xanthomonas citri ssp. citri is associated with a hypersensitive cell death response involving autophagy-associated vacuolar processes.

Xanthomonas citri ssp. citri (X. citri) is the causal agent of Asiatic citrus canker, a disease that seriously affects most commercially important Citrus species worldwide. We have identified previously a natural variant, X. citri AT , that triggers a host-specific defence response in Citrus limon. However, the mechanisms involved in this canker disease resistance are unknown. In this work, the defence response induced by X. citri AT was assessed by transcriptomic, physiological and ultrastructural analyses, and the effects on bacterial biofilm formation were monitored in parallel. We show that X. citri AT triggers a hypersensitive response associated with the interference of biofilm development and arrest of bacterial growth in C. limon. This plant response involves an extensive transcriptional reprogramming, setting in motion cell wall reinforcement, the oxidative burst and the accumulation of salicylic acid (SA) and phenolic compounds. Ultrastructural analyses revealed subcellular changes involving the activation of autophagy-associated vacuolar processes. Our findings show the activation of SA-dependent defence in response to X. citri AT and suggest a coordinated regulation between the SA and flavonoid pathways, which is associated with autophagy mechanisms that control pathogen invasion in C. limon. Furthermore, this defence response protects C. limon plants from disease on subsequent challenges by pathogenic X. citri. This knowledge will allow the rational exploitation of the plant immune system as a biotechnological approach for the management of the disease.

Increased circulating cell-free DNA levels and mtDNA fragments in interventional cardiologists occupationally exposed to low levels of ionizing radiation.

Circulating cell-free DNA (ccf-DNA) and mtDNA (ccf-mtDNA) have often been used as indicators of cell death and tissue damage in acute and chronic disorders, but little is known about changes in ccf-DNA and ccf-mtDNA concentrations following radiation exposure. The aim of the study was to investigate the impact of chronic low-dose radiation exposure on serum ccf-DNA levels and ccf-mtDNA fragments (mtDNA-79 and mtDNA-230) of interventional cardiologists working in high-volume cardiac catheterization laboratory to assess their possible role as useful radiation biomarkers. We enrolled 50 interventional cardiologists (26 males; age = 48.4 ± 10 years) and 50 age- and gender-matched unexposed controls (27 males; age = 47.6 ± 8.3 years). Quant-iT™ dsDNA High-Sensitivity assay was used to measure circulating ccf-DNA isolated from serum samples. Quantitative analysis of mtDNA fragments was performed by real-time PCR. No significant relationships were found between ccf-DNA and ccf-mtDNA, and age, gender, smoking, or other clinical parameters. Ccf-DNA levels (44.2 ± 31.1 vs. 30.6 ± 19.2 ng/ml, P = 0.013), ccf-mtDNA-79 (2.6 ± 2.1 vs. 1.1 ± 0.8, P < 0.01), and ccf-mtDNA-230 copies (2.0 ± 1.8 vs. 1.04 ± 0.9, P = 0.02) were significantly higher in interventional cardiologists compared with the non-exposed group. In a subset (n = 15) of interventional cardiologists with a reliable reconstruction of cumulative professional exposure (59.7 ± 48.4 mSv; range: 1.4-182 mS), ccf-DNA (53.2 ± 41.3 vs. 36.4 ± 22.9 and 32.2 ± 20.5, P = 0.08), mtDNA-79 (2.4 ± 2.1 vs. 2.03 ± 1.7 and 1.09 ± 0.82, P = 0.05), and mtDNA-230 (2.0 ± 2.2 vs. 1.5 ± 1.4 and 1.04 ± 0.9, P = 0.09) tended to be significantly increased in high-exposure subjects compared with both low-exposure interventional cardiologists and controls. Our results provide evidence for a possible role of circulating DNA as a relevant biomarker of cellular damage induced by exposure to chronic low-dose radiation.

Surface barriers of mandarin 'okitsu' leaves make a major contribution to canker disease resistance.

Field evaluations have shown that Satsuma mandarin (Citrus unshiu) 'Okitsu' is one of the mandarin cultivars that shows substantial resistance to Xanthomonas citri subsp. citri (X. citri), the causal agent of citrus bacterial canker disease. However, the mechanisms underlying this resistance are not well understood. In this study, we have shown that 'Okitsu' leaves are nevertheless susceptible to X. citri infection during a period of their development; however, this period is shorter than that seen in the susceptible mandarin 'Clemenules' (C. clementina). Under controlled growth conditions, the resistance of 'Okitsu' to X. citri was associated with the age of the leaf and was evident in spray-inoculated plants but not in those inoculated by infiltration. Furthermore, X. citri showed reduced attachment and biofilm formation in 'Okitsu' leaves compared with 'Clemenules'. Taken together, our data suggest that structural features of the 'Okitsu' leaf surface, such as the physical properties of the cuticle, are involved in the resistance to X. citri.

Nitrogen biobank for cardiovascular research.

Biobanks play a crucial role in "-Omics" research providing well-annotated samples to study major diseases, their pathways and mechanisms. Accordingly, there are major efforts worldwide to professionalize biobanks in order to provide high quality preservation and storage of biological samples with potentially greater scientific impact. Biobanks are an important resource to elucidate relevant disease mechanisms as well as to improve the diagnosis, prognosis, and treatment of both pediatric and adult cardiovascular disease. High-quality biological sample collections housed in specialized bio-repositories are needed to discover new genetic factors and molecular mechanisms of congenital heart disease and inherited cardiomyopathies in order to prevent the potential risk of having a fatal cardiac condition as well as to facilitate rational drug design around molecular diseases (personalized medicine). Biological samples are also required to improve the understanding the environmental mechanisms of heart disease (environmental cardiology). The goal of this paper is to focus on preanalytical issues (informed consent, sample type, time of collection, temperature and processing procedure) related to collection of biological samples for research purposes. In addition, the paper provides an overview of the efforts made recently by our Institute in designing and implementing a high-security liquid nitrogen storage system (-196°C). We described the implementations of reliable preservation technologies and appropriate quality control (the right temperature, the right environment, fully traceable with all possible back-up systems) in order to ensure maximum security for personnel as well as the quality and suitability of the stored samples.

Characterization of a variant of Xanthomonas citri subsp. citri that triggers a host-specific defense response.

Citrus is an economically important fruit crop that is severely afflicted by Asiatic citrus bacterial canker (CBC), a disease caused by the phytopathogen Xanthomonas citri subsp. citri (X. citri). To gain insight into the molecular epidemiology of CBC, 42 Xanthomonas isolates were collected from a range of Citrus spp. across 17 different orchards in Tucumán, Argentina and subjected to molecular, biochemical, and pathogenicity tests. Analysis of genome-specific X. citri markers and DNA polymorphisms based on repetitive elements-based polymerase chain reaction showed that all 42 isolates belonged to X. citri. Interestingly, pathogenicity tests showed that one isolate, which shares >90% genetic similarity to the reference strain X. citri T, has host range specificity. This new variant of X. citri subsp. citri, named X. citri A(T), which is deficient in xanthan production, induces an atypical, noncankerous chlorotic phenotype in Citrus limon and C. paradisi and weak cankerous lesions in C. aurantifolia and C. clementina leaves. In C. limon, suppression of canker development is concomitant with an oxidative burst; xanthan is not implicated in the phenotype induced by this interaction, suggesting that other bacterial factors would be involved in triggering the defense response.

[Liquid nitrogen biobank: a resource for biomedical research]. / Biobanca ad azoto liquido: una risorsa preziosa per la ricerca biomedica.

Biobanks are a critical resource for "omics" technologies in order to dissect molecular mechanism and gene-environmental interactions of common diseases, such as cancer, cardiovascular diseases, diabetes, and neurodegenerative diseases. Progress in basic biomedicine may contribute to advance personalised medicine in which treatments will no longer be "one size fits all", but instead "tailored" to the molecular and genetic profile of each patient. Currently, there are major efforts worldwide to professionalize biobanks in order to move ahead from a "do-it-yourself" tissue collection - as is most frequent at present - for providing high quality preservation and storage of biological samples with potentially greater scientific impact. In this paper, we describe our recent experience in the design and development of a high-security liquid nitrogen storage system (-196°C) as a key resource for biomedical research.

Development of low-cost ammonia gas sensors and data analysis algorithms to implement a monitoring grid of urban environmental pollutants.

The present study is focused on the implementation of a novel, low cost, urban grid of nanostructured chemresistor gas sensors for ammonia concentration ([NH(3)]) monitoring, with NH(3) being one of the main precursors of secondary fine particulate. Low-cost chemresistor gas sensors based on carbon nanotubes have been developed, their response to [NH(3)] in the 0.17-5.0 ppm range has been tested, and the devices have been properly calibrated under different relative humidity conditions in the 33-63% range. In order to improve the chemresistor selectivity towards [NH(3)], an Expert System, based on fuzzy logic and genetic algorithms, has been developed to extract the atmospheric [NH(3)] (with a sensitivity of a few ppb) from the output signal of a model chemresistor gas sensor exposed to an NO(2), NO(X) and O(3) gas mixture. The concentration of these pollutants that are known to be the most significant interfering compounds during ammonia detection with carbon nanotube gas sensors has been tracked by the ARPA monitoring network in the city of Milan and the historical dataset collected over one year has been used to train the Expert System.