Body size and sexual selection shaped the evolution of parrot calls.

Morphology, habitat and various selective pressures (e.g. social and sexual selection) can influence the evolution of acoustic signals, but the relative importance of their effects is not well understood. The order Psittaciformes (parrots, sensu lato) is a large clade of very vocal and often gregarious species for which large-scale comparative studies of vocalizations are lacking. We measured acoustic traits (duration, sound frequency, frequency bandwidth and sound entropy) of the predominant call type for >200 parrot species to test: (1) for associations with body size; (2) the acoustic adaptation hypothesis (AAH) (predicting differences between forest and open-habitat species); (3) the social complexity hypothesis (predicting more complex calls in gregarious species) and (4) influences of sexual selection (predicting correlated evolution with colour ornamentation). Larger species had on average longer calls, lower sound frequency and wider frequency bandwidth. These associations with body size are all predicted by physical principles of sound production. We found no evidence for the acoustic adaptation and social complexity hypotheses, but perhaps social complexity is associated with vocal traits not studied here, such as call repertoire sizes. More sexually dichromatic species had on average simpler calls (shorter, with lower entropy and narrower frequency bandwidth) indicating an influence of sexual selection, namely an evolutionary negative correlation between colour ornamentation and elaborate acoustic signals, as predicted by the transference hypothesis. Our study is the first large-scale attempt at understanding acoustic diversity across the Psittaciformes, and indicates that body size and sexual selection influenced the evolution of species differences in vocal signals.

Computational Approaches in Theranostics: Mining and Predicting Cancer Data.

The ability to understand the complexity of cancer-related data has been prompted by the applications of (1) computer and data sciences, including data mining, predictive analytics, machine learning, and artificial intelligence, and (2) advances in imaging technology and probe development. Computational modelling and simulation are systematic and cost-effective tools able to identify important temporal/spatial patterns (and relationships), characterize distinct molecular features of cancer states, and address other relevant aspects, including tumor detection and heterogeneity, progression and metastasis, and drug resistance. These approaches have provided invaluable insights for improving the experimental design of therapeutic delivery systems and for increasing the translational value of the results obtained from early and preclinical studies. The big question is: Could cancer theranostics be determined and controlled in silico? This review describes the recent progress in the development of computational models and methods used to facilitate research on the molecular basis of cancer and on the respective diagnosis and optimized treatment, with particular emphasis on the design and optimization of theranostic systems. The current role of computational approaches is providing innovative, incremental, and complementary data-driven solutions for the prediction, simplification, and characterization of cancer and intrinsic mechanisms, and to promote new data-intensive, accurate diagnostics and therapeutics.

Feline primary hyperaldosteronism: an emerging endocrine disease / Hiperaldosteronismo primário felino: uma enfermidade endócrina emergente

ABSTRACT: The primary hyperaldosteronism, an endocrine disease increasingly identified in cats, is characterized by adrenal gland dysfunction that interferes with the renin-angiotensin-aldosterone system, triggering the hypersecretion of aldosterone. Pathophysiological consequences of excessive aldosterone secretion are related to increased sodium and water retention, and increased excretion of potassium, which induce hypertension and severe hypokalemia, respectively. The most common clinical findings in cats include: polydipsia, nocturia, polyuria, generalized weakness, neck ventroflexion, syncope, anorexia, weight loss, pendulous abdomen and blindness. Diagnosis is based on the evidence of hormonal hypersecretion with suppression of renin release, imaging and histopathological evaluation of adrenal glands. Treatment may be curative with adrenalectomy, in cases of unilateral disease, or conservative, through administration of aldosterone antagonists, potassium supplementation and antihypertensives. Prognosis varies from fair to good with the appropriate therapy. This article reviews the main aspects of primary aldosteronism in cats, providing the clinician with important information for the diagnosis of this disease.

RESUMO: O hiperaldosteronismo primário, doença endrócrina cada vez mais identificada em felinos, caracteriza-se pela disfunção da glândula adrenal com interferência no sistema renina-angiotensina-aldosterona, desencadeando a hipersecreção de aldosterona. As consequências da secreção excessiva de aldosterona estão relacionadas com o aumento da retenção de sódio e água e aumento da excreção de potássio, que ocasionarão, respectivamente, hipertensão arterial sistêmica e hipocalemia grave. O diagnóstico é realizado com base na comprovação da hipersecreção hormonal com supressão da liberação de renina, além de exames de imagem e avaliação histopatológica da adrenal. O tratamento pode ser curativo, com a adrenalectomia, em enfermidades unilaterais, ou conservativo, por meio de antagonistas da aldosterona, suplementação de potássio e anti-hipertensivos. O prognóstico é bom e reservado com a terapia apropriada.

Ki67/KIT double immunohistochemical staining in cutaneous mast cell tumors from Boxer dogs.

Cutaneous mast cell tumors (MCTs) are among the most frequent malignant tumors in dogs and Boxer breed dogs have a higher incidence of this disease. Ki67 staining and KIT staining are widely used to predict natural behavior in canine MCT but no previous study has evaluated double staining of these proteins as a prognostic factor. Based on biological behavior predictors in canine MCT, the purpose of this study was to determine the Ki67 proliferative index in KIT positive cells using double stain immunohistochemistry technique. Sixty-nine MCTs from Boxer dogs were selected and a tissue microarray was constructed for the double stained immunohistochemistry. Double positivity (Ki67(+)/KIT(+)) was observed in 20/69 (29%) MCT, with a mean of 9.06 double positive cells per tissue core (range 0.48%-43.97%) and Ki67(-)/KIT(+) animals had a longer survival time than Ki67(+)/KIT(+) animals (p=0.03).