Molekulare ökologische Wechselwirkungen von bakteriellen Endophyten mit ihrem Wirt Vitis vinifera (L)

Bacterial endophytes live asymptomatically within plants. Plant protection properties of endophytes have drawn the attention of agricultural research and industry, resulting in their development as potential biotechnologies for better crop management. Such capabilities are the result of complex ecological interactions that endophytes engage in. Thus, understanding the interplay between bacterial endophytes and co-inhabiting organisms may provide means of exploiting such capacities. Study of endophytic bacteria has classically employed functional enzymatic assays. Recently, sequencing of genomes and metagenomics aided by metabolomics studies has provided better insights into the molecular ecology of endophytes. Evidence shows that the microbiota can have a strong influence on host fitness. Because endophytes harbor many beneficial properties and interact with many insect vectors, the question arises whether they can be used as probiotics. This is relevant because in “suppressive soils” the existence of beneficial microbiota can prevent the development of plant disease. Thus, the aim of this thesis was to study the beneficial properties of endophytic bacteria isolated from grapevine and evaluate genome structure to identify similarities with and differences between other symbionts. Also, experiments were performed to understand if the grapevine associated insect Scaphoideus titanus vectors bacterial endophytic communities between plants. Finally, the effect of endophytic colonization on plant secondary metabolism was assessed. Enzymatic assays showed that most of more than 100 endophytes isolated from grapevine benefit plant growth and health. Genome sequencing revealed both characteristic chromosome organization and gene functions that may be important for symbiosis. Also, similarities between endophytic and non-endophytic bacteria at the genome level suggested a role of ecological constraints in defining the lifestyle of these symbionts, raising awareness of the virulence potential that endophytes hold in their genomes. Through 454 sequencing, the role of S. titanus as vector was confirmed, implying that plant and insect hosts have an effect on bacterial endophytic community structure. Finally, , a possible “metabolic signature” exerted by endophytes colonizing grapevine plants was detected and the ecological implications of this signature on the symbiosis were outlined.Bakterielle Endophyten sind Organismen, die asymptomatisch in Pflanzen leben. Einige endophytische Bakterien zeigen Pflanzenschutz-Eigenschaften die das Ergebnis komplexer ökologischer Wechselwirkungen mit denen sich Endophyten untereinander und mit anderen Organismen im Pflanzenökosystem. Die Untersuchung endophytischer Bakterien wurden klassisch durch funktionelle Analyse mit enzymatischen Assays durchgeführt. In jüngster Zeit haben die Sequenzierung von Genomen sowie Metagenomikstudien bessere Einblicke in die Kolonisation, die Nischenexpansion und die Chromosomenstruktur gegeben, die sich in den vorteilhaften Eigenschaften einiger Endophyten widerspiegeln können. Auch die Metabolomik hat das Studium der Symbiose mit der Pflanze ermöglicht. In Pflanzen schlagen mehrere Studien die Verwendung von Mikroben als Probiotika vor, da in einigen Böden die Existenz einer definierten, nützlichen Mikrobiota die Entwicklung von Pflanzenkrankheiten verhindern kann (diese werden als "suppressive Böden" bezeichnet). Da Endophyten viele vorteilhafte Eigenschaften beherbergen, stellt sich die Frage, ob die Verwendung der endophytischen Mikrobiota einen positiven Einfluss auf die Kulturpflanzen haben kann. So war es das Ziel dieser Arbeit, die vorteilhaften Eigenschaften von endophytischen Bakterien, die aus der Weinrebe isoliert wurden, zu untersuchen und die Genomstruktur zu bewerten, um Ähnlichkeiten und Unterschiede zwischen diesen Symbionten und den Pflanzenpathogenen und frei lebenden Symbionten zu identifizieren. Auch wurden Experimente durchgeführt, um zu verstehen, ob das mit der Weinrebe assoziierte Insekt Scaphoideus titanus als Vektor für ganze bakterielle endophytische Gemeinschaften zwischen Pflanzen dienen kann. Um die gesamte Landschaft der Wechselwirkungen zu vervollständigen, wurde die Wirkung der endophytischen Kolonisation auf den sekundären Stoffwechsel beurteilt. Enzymatische Tests zeigten, dass viele der mehr als 100 aus der Weinrebe isolierten Endophyten vorteilhafte Eigenschaften für Pflanzen haben, die von der Pflanzenwachstumsförderung bis hin zur Biokontrolle gegen große Weinrebenpathogene reichen. Durch die Genomsequenzierung wurde eine bestimmte Chromosomenorganisation sowie Genfunktionen festgestellt. Desweiteren deuteten Ähnlichkeiten zwischen endophytischen und nicht-endophytischen Bakterien auf der Genom-Ebene auf eine ökologische Einschränkung bei der Definition des Lebensstils dieser Symbionten hin und erhöhten das Bewusstsein für das Virulenzpotential der Endophyten. Durch die 454-Sequenzierung wurde die Funktion von S. titanus als Vektor bestätigt. Schließlich wurde mit der Metabolomik eine mögliche "metabolische Signatur" von Endophyten detektiert, die Weinrebenpflanzen kolonisieren, und die ökologischen Implikationen eines solchen Phänomens in der Symbiose skizziert

Influence of Chemical Enhancers and Iontophoresis on the In Vitro Transdermal Permeation of Propranolol: Evaluation by Dermatopharmacokinetics

[EN] The aims of this study were to assess, in vitro, the possibility of administering propranolol transdermally and to evaluate the usefulness of the dermatopharmacokinetic (DPK) method in assessing the transport of drugs through stratum corneum, using propranolol as a model compound. Four chemical enhancers (decenoic and oleic acid, laurocapram, and R-(+)-limonene) and iontophoresis at two current densities, 0.25 and 0.5 mA/cm(2) were tested. R-(+)-limonene, and iontophoresis at 0.5 mA/cm(2) were proven to be the most efficient in increasing propranolol transdermal flux, both doubled the original propranolol transdermal flux. Iontophoresis was demonstrated to be superior than the chemical enhancer because it allowed faster delivery of the drug. The DPK method was sufficiently sensitive to detect subtle vehicle-induced effects on the skin permeation of propranolol. The shorter duration of these experiments and their ability to provide mechanistic information about partition between vehicle and skin and diffusivity through skin place them as practical and potentially insightful approach to quantify and, ultimately, optimize topical bioavailability.This research was funded by Ministerio de Ciencia e Innovación (AP2007-03456) and the Universidad CEU Cardenal Herrera.Calatayud-Pascual, M.; Sebastian-Morelló, M.; Balaguer-Fernandez, C.; Delgado-Charro, M.; Lopez-Castellano, A.; Merino Sanjuán, V. (2018). Influence of Chemical Enhancers and Iontophoresis on the In Vitro Transdermal Permeation of Propranolol: Evaluation by Dermatopharmacokinetics. Pharmaceutics. 10(4):1-15. https://doi.org/10.3390/pharmaceutics10040265S11510

Análisis comparativo de suelos cultivados y de monte de la provincia del Chaco, Argentina = Comparative analysis of cultivated and native forest soilsof the province of Chaco, Argentina

La agricultura en el norte argentino se ha intensificado últimamente avanzando sobre nuevas tierras, generando un impacto sobre los recursos naturales entre los que se encuentra el suelo. Se analizaron variables físicas, químicas y biológicas con el fin de dilucidar cuál de éstas muestra un mayor contraste. Se tomaron muestras de dos campos ubicados en la región oeste de la provincia del Chaco: uno con producción agrícola en un suelo desmontado hace 10 años, otro que realiza producción agrícola hace 80 años. En ambos se tomó el monte contiguo como situación testigo. El muestreo de los suelos se realizó en otoño de dos años consecutivos a una profundidad de cero a 10 y de 10 a 20 centímetros. Como variables físico-químicas y químicas se evaluaron pH, conductividad eléctrica, nitrógeno total, carbono orgánico, fósforo disponible, potasio, calcio, magnesio y sodio. Como variables físicas se determinaron densidad aparente y resistencia mecánica a la penetración. Y como variables biológicas se determinaron actividad respiratoria microbiana del suelo y cuantificación de glomalina fácilmente extraíble. Se realizó análisis de la varianza, test de Tukey (α = 0,05) arrojando diferencias estadísticamente significativas en la mayoría de las variables siendo positivos los valores de los suelos de monte. Además, se realizó un análisis de componentes principales. Las variables más determinantes fueron: densidad aparente, resistencia mecánica a la penetración, pH, el carbono orgánico y la glomalina fácilmente extraíble.Agriculture in northern Argentina has intensified lately, advancing on new lands, generating an impact on natural resources, including the soil. Physical, chemical and biological variables were analyzed in order to elucidate which of these shows the greatest contrast. Samples were taken from two fields: one with agricultural production on land cleared 10 years ago, another that has been producing agricultural production for the last 80 years. In both, the contiguous native vegetation was taken as control. Soil sampling was carried out in the fall of two consecutive years at a depth of zero to 10 and 10 to 20 centimeters. As physicochemical and chemical variables, pH, electrical conductivity, total nitrogen, organic carbon, available phosphorus, potassium, calcium, magnesium and sodium were evaluated. As physical variables, apparent density and mechanical resistance to penetration were determined. As biological variables, microbial respiratory activity of the soil and quantification of easily extractable glomalin were determined. Analysis of variance, Tukey’s test (α = 0.05) was performed, yielding statistically significant differences in most of the variables, being positive the values from the native vegetation soils. In addition, a principal component analysis was performed. The most determining variables were: apparent density, mechanical resistance to penetration, pH, organic carbon and easily extractable glomalin.EEA CorrientesFil: Pérez, Germán Luis. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto Agrotécnico; ArgentinaFil: Sotelo, Cristina Esther. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto Agrotécnico; ArgentinaFil: Sirio, Andrea A. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto Agrotécnico; ArgentinaFil: Carnicer, Sebastian. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto Agrotécnico; ArgentinaFil: Mansilla, Natalia P. Provincia del Chaco. Ministerio de Producción. Dirección de Suelos y Agua Rural; ArgentinaFil: Fernandez Lopez, Carolina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Corrientes; ArgentinaFil: Castelan, Maria E. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto Agrotécnico; Argentin

Microbial Community and Metabolic Activity in Thiocyanate Degrading Low Temperature Microbial Fuel Cells

Thiocyanate is a toxic compound produced by the mining and metallurgy industries that needs to be remediated prior to its release into the environment. If the industry is situated at high altitudes or near the poles, economic factors require a low temperature treatment process. Microbial fuel cells are a developing technology that have the benefits of both removing such toxic compounds while recovering electrical energy. In this study, simultaneous thiocyanate degradation and electrical current generation was demonstrated and it was suggested that extracellular electron transfer to the anode occurred. Investigation of the microbial community by 16S rRNA metatranscriptome reads supported that the anode attached and planktonic anolyte consortia were dominated by a Thiobacillus-like population. Metatranscriptomic sequencing also suggested thiocyanate degradation primarily occurred via the ‘cyanate’ degradation pathway. The generated sulfide was metabolized via sulfite and ultimately to sulfate mediated by reverse dissimilatory sulfite reductase, APS reductase, and sulfate adenylyltransferase and the released electrons were potentially transferred to the anode via soluble electron shuttles. Finally, the ammonium from thiocyanate degradation was assimilated to glutamate as nitrogen source and carbon dioxide was fixed as carbon source. This study is one of the first to demonstrate a low temperature inorganic sulfur utilizing microbial fuel cell and the first to provide evidence for pathways of thiocyanate degradation coupled to electron transfer

Dominance is common in mammals and is associated with trans-acting gene expression and alternative splicing

Background: Dominance and other non-additive genetic effects arise from the interaction between alleles, and historically these phenomena play a major role in quantitative genetics. However, most genome-wide association studies (GWAS) assume alleles act additively. // Results: We systematically investigate both dominance—here representing any non-additive within-locus interaction—and additivity across 574 physiological and gene expression traits in three mammalian stocks: F2 intercross pigs, rat heterogeneous stock, and mice heterogeneous stock. Dominance accounts for about one quarter of heritable variance across all physiological traits in all species. Hematological and immunological traits exhibit the highest dominance variance, possibly reflecting balancing selection in response to pathogens. Although most quantitative trait loci (QTLs) are detectable as additive QTLs, we identify 154, 64, and 62 novel dominance QTLs in pigs, rats, and mice respectively that are undetectable as additive QTLs. Similarly, even though most cis-acting expression QTLs are additive, gene expression exhibits a large fraction of dominance variance, and trans-acting eQTLs are enriched for dominance. Genes causal for dominance physiological QTLs are less likely to be physically linked to their QTLs but instead act via trans-acting dominance eQTLs. In addition, thousands of eQTLs are associated with alternatively spliced isoforms with complex additive and dominant architectures in heterogeneous stock rats, suggesting a possible mechanism for dominance. // Conclusions: Although heritability is predominantly additive, many mammalian genetic effects are dominant and likely arise through distinct mechanisms. It is therefore advantageous to consider both additive and dominance effects in GWAS to improve power and uncover causality

A large-scale genomic snapshot of Klebsiella spp. isolates in Northern Italy reveals limited transmission between clinical and non-clinical settings

Genomic analyses of Klebsiella isolates sampled from multiple human, animal and environmental sources in Northern Italy explore Klebsiella population diversity and show that transmission of multidrug-resistant clones between clinical and environmental settings is scarce.The Klebsiella group, found in humans, livestock, plants, soil, water and wild animals, is genetically and ecologically diverse. Many species are opportunistic pathogens and can harbour diverse classes of antimicrobial resistance genes. Healthcare-associated Klebsiella pneumoniae clones that are non-susceptible to carbapenems can spread rapidly, representing a high public health burden. Here we report an analysis of 3,482 genome sequences representing 15 Klebsiella species sampled over a 17-month period from a wide range of clinical, community, animal and environmental settings in and around the Italian city of Pavia. Northern Italy is a hotspot for hospital-acquired carbapenem non-susceptible Klebsiella and thus a pertinent setting to examine the overlap between isolates in clinical and non-clinical settings. We found no genotypic or phenotypic evidence for non-susceptibility to carbapenems outside the clinical environment. Although we noted occasional transmission between clinical and non-clinical settings, our data point to a limited role of animal and environmental reservoirs in the human acquisition of Klebsiella spp. We also provide a detailed genus-wide view of genomic diversity and population structure, including the identification of new groups.Peer reviewe

Sustentabilidad socio-económica de explotaciones agropecuarias del sur de la provincia de Buenos Aires. Resultados preliminares de la prueba de indicadores

Posiblemente uno de los factores que más conspiró contra los numerosos intentos de atenuar el impacto ambiental de la actividad agropecuaria haya sido la falta de consideración de aquellos aspectos sociales y económicos relacionados con sus usuarios. Por caso se intentaba detener la erosión del suelo, sin atender las limitaciones y condicionantes de quienes obtenían su sustento a partir del recurso. El concepto de sustentabilidad se desarrolló a partir del reconocimiento de muchos de esos aspectos incluyendo, actualmente, componentes que exceden lo ambiental o ecológico para considerar lo económico, las relaciones entre los individuos, y entre estos y el ambiente. La evaluación de la sustentabilidad de la actividad agropecuaria debe, necesariamente, incluir estos componentes para detectar en forma integral sus fortalezas y debilidades. El uso de indicadores, que reflejen el estado de cada componente de la sustentabilidad, en relación con valores tolerables o críticos, permite aportar a estos objetivos. Sin embargo para lograr la apropiada valoración de la sustentabilidad es necesario garantizar primero la adecuación, pertinencia, coherencia y sensibilidad de los indicadores construidos (Cáceres, 2007). En un trabajo anterior (Krüger et al. 2007), se seleccionaron indicadores de sustentabilidad aplicables a explotaciones agropecuarias del sur de la provincia de Buenos Aires, y se describió la metodología de trabajo interdisciplinario utilizada para identificarlos. Más recientemente se analizó la aplicación del componente ambiental de estos indicadores sobre una muestra de explotaciones seleccionadas al efecto (Krüger et al. 2009). La presente ponencia tiene como objetivo analizar los resultados de la aplicación de indicadores correspondientes al componente socio-económico sobre dichas explotaciones, completando así la prueba del esquema, y un diagnóstico preliminar de la sustentabilidad de las explotaciones de la región.EEA BordenaveFil: Kruger, Hugo Ricardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; ArgentinaFil: Agamennoni, Raúl José. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Hilario Ascasubi; ArgentinaFil: Couderc, Jorge Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave. Agencia de Extensión Rural Pigüé; ArgentinaFil: Fernandez Mayer, Anibal. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave. Agencia de Extensión Rural Coronel Pringles; ArgentinaFil: González Ferrín, María Soledad. Instituto Nacional de Tecnología Agropecuaria (INTA). Chacra Experimental Integrada Barrow; ArgentinaFil: Lagrange, Sebastian Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; ArgentinaFil: López, Ricardo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; ArgentinaFil: Pelta, Hector Raul. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; ArgentinaFil: Presa, Cecilia Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; ArgentinaFil: Venanzi, Santiago. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave. Agencia de Extensión Rural Pigüé; ArgentinaFil: Vigna, Mario Raúl. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; Argentin

The Risk of Contracting COVID-19 Is Not Increased in Patients With Celiac Disease

The World Health Organization declared coronavirus disease-2019 (COVID-19) a global pandemic in March 2020. Since then, there are more than 34 million cases of COVID-19 leading to more than 1 million deaths worldwide. Numerous studies suggest that celiac disease (CeD), a chronic immune-mediated gastrointestinal condition triggered by gluten, is associated with an increased risk of respiratory infections.1-3 However, how it relates to the risk of COVID-19 is unknown. To address this gap, we conducted a cross-sectional study to evaluate whether patients with self-reported CeD are at an increased risk of contracting COVID-19

Soil organic carbon stocks in native forest of Argentina: a useful surrogate for mitigation and conservation planning under climate variability

Background The nationally determined contribution (NDC) presented by Argentina within the framework of the Paris Agreement is aligned with the decisions made in the context of the United Nations Framework Convention on Climate Change (UNFCCC) on the reduction of emissions derived from deforestation and forest degradation, as well as forest carbon conservation (REDD+). In addition, climate change constitutes one of the greatest threats to forest biodiversity and ecosystem services. However, the soil organic carbon (SOC) stocks of native forests have not been incorporated into the Forest Reference Emission Levels calculations and for conservation planning under climate variability due to a lack of information. The objectives of this study were: (i) to model SOC stocks to 30 cm of native forests at a national scale using climatic, topographic and vegetation as predictor variables, and (ii) to relate SOC stocks with spatial–temporal remotely sensed indices to determine biodiversity conservation concerns due to threats from high inter‑annual climate variability. Methods We used 1040 forest soil samples (0–30 cm) to generate spatially explicit estimates of SOC native forests in Argentina at a spatial resolution of approximately 200 m. We selected 52 potential predictive environmental covariates, which represent key factors for the spatial distribution of SOC. All covariate maps were uploaded to the Google Earth Engine cloud‑based computing platform for subsequent modelling. To determine the biodiversity threats from high inter‑annual climate variability, we employed the spatial–temporal satellite‑derived indices based on Enhanced Vegetation Index (EVI) and land surface temperature (LST) images from Landsat imagery. Results SOC model (0–30 cm depth) prediction accounted for 69% of the variation of this soil property across the whole native forest coverage in Argentina. Total mean SOC stock reached 2.81 Pg C (2.71–2.84 Pg C with a probability of 90%) for a total area of 460,790 km2, where Chaco forests represented 58.4% of total SOC stored, followed by Andean Patagonian forests (16.7%) and Espinal forests (10.0%). SOC stock model was fitted as a function of regional climate, which greatly influenced forest ecosystems, including precipitation (annual mean precipitation and precipitation of warmest quarter) and temperature (day land surface temperature, seasonality, maximum temperature of warmest month, month of maximum temperature, night land surface temperature, and monthly minimum temperature). Biodiversity was influenced by the SOC levels and the forest regions. Conclusions In the framework of the Kyoto Protocol and REDD+, information derived in the present work from the estimate of SOC in native forests can be incorporated into the annual National Inventory Report of Argentina to assist forest management proposals. It also gives insight into how native forests can be more resilient to reduce the impact of biodiversity loss.EEA Santa CruzFil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina.Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Gaitan, Juan José. Universidad Nacional de Luján. Buenos Aires; Argentina.Fil: Gaitan, Juan José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Mastrangelo, Matias Enrique. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Grupo de Estudio de Agroecosistemas y Paisajes Rurales; Argentina.Fil: Mastrangelo, Matias Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Nosetto, Marcelo Daniel. Universidad Nacional de San Luis. Instituto de Matemática Aplicada San Luis. Grupo de Estudios Ambientales; Argentina.Fil: Nosetto, Marcelo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Villagra, Pablo Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales (IANIGLA); Argentina.Fil: Villagra, Pablo Eugenio. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias; Argentina.Fil: Balducci, Ezequiel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Yuto; Argentina.Fil: Pinazo, Martín Alcides. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina.Fil: Eclesia, Roxana Paola. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina.Fil: Von Wallis, Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina.Fil: Villarino, Sebastián. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Grupo de Estudio de Agroecosistemas y Paisajes Rurales; Argentina.Fil: Villarino, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Alaggia, Francisco Guillermo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi. Campo Anexo Villa Dolores; Argentina.Fil: Alaggia, Francisco Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Gonzalez-Polo, Marina. Universidad Nacional del Comahue; Argentina.Fil: Gonzalez-Polo, Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. INIBIOMA; Argentina.Fil: Manrique, Silvana M. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Energía No Convencional. CCT Salta‑Jujuy; Argentina.Fil: Meglioli, Pablo A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales (IANIGLA); Argentina.Fil: Meglioli, Pablo A. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias; Argentina.Fil: Rodríguez‑Souilla, Julián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas (CADIC); Argentina.Fil: Mónaco, Martín H. Ministerio de Ambiente y Desarrollo Sostenible. Dirección Nacional de Bosques; Argentina.Fil: Chaves, Jimena Elizabeth. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas (CADIC); Argentina.Fil: Medina, Ariel. Ministerio de Ambiente y Desarrollo Sostenible. Dirección Nacional de Bosques; Argentina.Fil: Gasparri, Ignacio. Universidad Nacional de Tucumán. Instituto de Ecología Regional; Argentina.Fil: Gasparri, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Alvarez Arnesi, Eugenio. Universidad Nacional de Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina.Fil: Alvarez Arnesi, Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe; Argentina.Fil: Barral, María Paula. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Grupo de Estudio de Agroecosistemas y Paisajes Rurales; Argentina.Fil: Barral, María Paula. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Von Müller, Axel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Esquel Argentina.Fil: Pahr, Norberto Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina.Fil: Uribe Echevarría, Josefina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Quimilí; Argentina.Fil: Fernandez, Pedro Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Famaillá; Argentina.Fil: Fernandez, Pedro Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina.Fil: Morsucci, Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales (IANIGLA); Argentina.Fil: Morsucci, Marina. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias; Argentina.Fil: Lopez, Dardo Ruben. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi. Campo Anexo Villa Dolores; Argentina.Fil: Lopez, Dardo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Cellini, Juan Manuel. Universidad Nacional de la Plata (UNLP). Facultad de Ciencias Naturales y Museo. Laboratorio de Investigaciones en Maderas; Argentina.Fil: Alvarez, Leandro M. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales (IANIGLA); Argentina.Fil: Alvarez, Leandro M. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias; Argentina.Fil: Barberis, Ignacio Martín. Universidad Nacional de Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe; Argentina.Fil: Barberis, Ignacio Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe; Argentina.Fil: Colomb, Hernán Pablo. Ministerio de Ambiente y Desarrollo Sostenible. Dirección Nacional de Bosques; Argentina.Fil: Colomb, Hernán. Administración de Parques Nacionales (APN). Parque Nacional Los Alerces; Argentina.Fil: La Manna, Ludmila. Universidad Nacional de la Patagonia San Juan Bosco. Centro de Estudios Ambientales Integrados (CEAI); Argentina.Fil: La Manna, Ludmila. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Barbaro, Sebastian Ernesto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cerro Azul; Argentina.Fil: Blundo, Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina.Fil: Blundo, Cecilia. Universidad Nacional de Tucumán. Tucumán; Argentina.Fil: Sirimarco, Marina Ximena. Universidad Nacional de Mar del Plata. Grupo de Estudio de Agroecosistemas y Paisajes Rurales (GEAP); Argentina.Fil: Sirimarco, Marina Ximena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Cavallero, Laura. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi. Campo Anexo Villa Dolores; Argentina.Fil: Zalazar, Gualberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales (IANIGLA); Argentina.Fil: Zalazar, Gualberto. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias; Argentina.Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas (CADIC); Argentina

Association between lifestyle factors and headache

Modification of lifestyle habits is a key preventive strategy for many diseases. The role of lifestyle for the onset of headache in general and for specific headache types, such as migraine and tension-type headache (TTH), has been discussed for many years. Most results, however, were inconsistent and data on the association between lifestyle factors and probable headache forms are completely lacking. We evaluated the cross-sectional association between different lifestyle factors and headache subtypes using data from three different German cohorts. Information was assessed by standardized face-to-face interviews. Lifestyle factors included alcohol consumption, smoking status, physical activity and body mass index. According to the 2004 diagnostic criteria, we distinguished the following headache types: migraine, TTH and their probable forms. Regional variations of lifestyle factors were observed. In the age- and gender-adjusted logistic regression models, none of the lifestyle factors was statistically significant associated with migraine, TTH, and their probable headache forms. In addition, we found no association between headache subtypes and the health index representing the sum of individual lifestyle factors. The lifestyle factors such as alcohol consumption, smoking, physical activity and overweight seem to be unrelated to migraine and TTH prevalence. For a judgement on their role in the onset of new or first attacks of migraine or TTH (incident cases), prospective cohort studies are required