A new species of cosmocercoides (Nematoda; cosmocercidae) and other helminths in leptodactylus latrans (anura; leptodactylidae) from Argentina

Cosmocercoides latrans n. sp. (Cosmocercidae) from the small intestine of Leptodactylus latrans (Anura: Leptodactylidae) from Northeastern Province of Buenos Aires, Argentina is described. The new species can be distinguished from their congeners by a combination of the characters, among which stands out the number of rosette papillae, the lack of gubernaculum and the presence of lateral alae in both sexes. There are over 20 species in the genus Cosmocercoides, and Cosmocercoides latrans n. sp. represents the third species from the Neotropical realm and the second for Argentina. Additionally, seven previously known taxa are reported; Pseudoacanthocephalus cf. lutzi, Catadiscus uruguayensis, Rauschiella palmipedis, Aplectana hylambatis, Cosmocerca parva, Schrankiana sp. and Rhabdias elegans; providing literature records and information on distribution and host-parasite relationships.Fil: Draghi, Regina. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. División Zoología Invertebrados; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Drago, Fabiana Beatriz. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. División Zoología Invertebrados; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; ArgentinaFil: Lunaschi, Lía Inés. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. División Zoología Invertebrados; Argentin

The importance of understanding annual and shorter-term temperature patterns and variation in the surface levels of polar soils for terrestrial biota

Ground temperatures in the top few centimetres of the soil profile are key in many biological processes yet remain very poorly documented, especially in the polar regions or over longer timescales. They can vary greatly seasonally and at various spatial scales across the often highly complex and heterogeneous polar landscapes. It is challenging and often impossible to extrapolate soil profile temperatures from meteorological air temperature records. Furthermore, despite the justifiably considerable profile given to contemporary large-scale climate change trends, with the exception of some sites on Greenland, few biological microclimate datasets exist that are of sufficient duration to allow robust linkage and comparison with these large-scale trends. However, it is also clear that the responses of the soil-associated biota of the polar regions to projected climate change cannot be adequately understood without improved knowledge of how landscape heterogeneity affects ground and sub-surface biological microclimates, and of descriptions of these microclimates and their patterns and trends at biologically relevant physical and temporal scales. To stimulate research and discussion in this field, we provide an overview of multi-annual temperature records from 20 High Arctic (Svalbard) and maritime Antarctic (Antarctic Peninsula and Scotia Arc) sites. We highlight important features in the datasets that are likely to have influence on biology in polar terrestrial ecosystems, including (a) summer ground and sub-surface temperatures vary much more than air temperatures; (b) winter ground temperatures are generally uncoupled from air temperatures; (c) the ground thawing period may be considerably shorter than that of positive air temperatures; (d) ground and air freeze–thaw patterns differ seasonally between Arctic and Antarctic; (e) rates of ground temperature change are generally low; (f) accumulated thermal sum in the ground usually greatly exceeds air cumulative degree days. The primary purpose of this article is to highlight the utility and biological relevance of such data, and to this end the full datasets are provided here to enable further analyses by the research community, and incorporation in future wider comparative studies

Aspectos climáticos em áreas de transmissão de hantavirose no Estado de São Paulo, Brasil Climatic aspects in hantavirus transmission areas in São Paulo State, Brazil

O objetivo deste trabalho foi investigar a distribuição espacial dos casos notificados de hantavirose (n = 80) no Estado de São Paulo, Brasil, de 1993 a 2005, e identificar os padrões climáticos locais nos anos de registro da doença. Foi utilizado o estimador de densidade de pontos de kernel que apontou maior concentração nas regiões de Ribeirão Preto, São Carlos, Franca, Tupi Paulista e Grande São Paulo. O aumento do número de casos no período sugere disseminação da doença, embora se considere o aumento da capacidade diagnóstica e maior sensibilidade do sistema de saúde. Registrou-se marcada sazonalidade da hantavirose nas áreas de cerrado, com padrão comum, isto é, maior incidência em meses com baixa pluviosidade, comparados com médias dos últimos quarenta anos. Esses períodos coincidem com épocas de maior disponibilidade de alimentos a roedores em cultura de grãos, cana e outros. A colheita e armazenamento desses grãos aumentam a exposição de populações humanas aos roedores. Indicadores climáticos em conjunto com variáveis ecológicas podem compor marcadores de risco de transmissão local a serem valorizados nas ações de vigilância epidemiológica e controle da doença.<br>The objective of this study was to investigate the spatial distribution of reported hantavirus cases in São Paulo State, Brazil (n = 80), from 1993 to 2005 and identify local climatic patterns during this period. Kernel point estimation of density was used to show the highest concentrations in Ribeirão Preto, São Carlos, Franca, Tupi Paulista, and Greater São Paulo. Increase in the number of cases during this period suggests disease dissemination even when considering increased diagnostic capacity and higher sensitivity of the health services. There was a marked seasonal variation in hantavirus in the cerrado (savannah) areas; the common pattern is a higher incidence in drier months as compared to mean levels in the last 40 years. These coincide with periods of high rodent food source levels in grains, sugarcane, and other crops. Harvesting and storing grains increases human exposure to rodents. Climatic indicators together with ecological variables can be local transmission risk markers and should receive more attention in epidemiological monitoring and control of the disease

A robust machine learning framework to identify signatures for frailty: a nested case-control study in four aging European cohorts

Phenotype-specific omic expression patterns in people with frailty could provide invaluable insight into the underlying multi-systemic pathological processes and targets for intervention. Classical approaches to frailty have not considered the potential for different frailty phenotypes. We characterized associations between frailty (with/without disability) and sets of omic factors (genomic, proteomic, and metabolomic) plus markers measured in routine geriatric care. This study was a prevalent case control using stored biospecimens (urine, whole blood, cells, plasma, and serum) from 1522 individuals (identified as robust (R), pre-frail (P), or frail (F)] from the Toledo Study of Healthy Aging (R=178/P=184/F=109), 3 City Bordeaux (111/269/100), Aging Multidisciplinary Investigation (157/79/54) and InCHIANTI (106/98/77) cohorts. The analysis included over 35,000 omic and routine laboratory variables from robust and frail or pre-frail (with/without disability) individuals using a machine learning framework. We identified three protective biomarkers, vitamin D3 (OR: 0.81 [95% CI: 0.68–0.98]), lutein zeaxanthin (OR: 0.82 [95% CI: 0.70–0.97]), and miRNA125b-5p (OR: 0.73, [95% CI: 0.56–0.97]) and one risk biomarker, cardiac troponin T (OR: 1.25 [95% CI: 1.23–1.27]). Excluding individuals with a disability, one protective biomarker was identified, miR125b-5p (OR: 0.85, [95% CI: 0.81–0.88]). Three risks of frailty biomarkers were detected: pro-BNP (OR: 1.47 [95% CI: 1.27–1.7]), cardiac troponin T (OR: 1.29 [95% CI: 1.21–1.38]), and sRAGE (OR: 1.26 [95% CI: 1.01–1.57]). Three key frailty biomarkers demonstrated a statistical association with frailty (oxidative stress, vitamin D, and cardiovascular system) with relationship patterns differing depending on the presence or absence of a disability