“Revisiting the Past”: A Redescription of \u3ci\u3ePhysaloptera retusa\u3c/i\u3e (Nemata, Physalopteridae) from Material Deposited in Museums and New Material from Amazon Lizards = “Revisitando o passado”: Uma redescrição de \u3ci\u3ePhysaloptera retusa\u3c/i\u3e (Nemata, Physalopteridae) a partir de material depositado em museus e novo material de lagartos amazônicos

Abstract Physaloptera Rudolphi, 1819 is a genus of nematodes that includes approximately 100 species parasitic in vertebrates around the world. From these, approximately 30 occur in the Neotropical region, with nine reported from neotropical reptiles. Physaloptera spp. are recognized by their distinct morphology of the apical end and characters of the reproductive system. However, despite the fact that the morphological characters for species diagnosis have been firmly established, we frequently find identification problems regarding poorly detailed descriptions and poorly preserved specimens. These may lead to taxonomic incongruencies. Physaloptera retusa (Rudolphi, 1819) is the most common species of the genus and has been reported from several species of neotropical reptiles. Based on our reexaminations of nematode specimens identified as P. retusa from different museum collections, we provide a detailed redescription including the type material, voucher specimens and new specimens recovered currently and showed in this study with new morphological data obtained using light and scanning electron microscopy tools. Keywords: Helminths of reptiles, Amazon, taxonomical identification, morphology, scanning electron microscopy. Resumo Physaloptera Rudolphi, 1819 é um gênero de nematódeos que inclui aproximadamente 100 espécies parasitárias em vertebrados em todo o mundo. Destes, aproximadamente 30 ocorrem na região Neotropical, e nove foram reportados para répteis neotropicais. Physaloptera spp. são reconhecidas por sua morfologia distinta na extremidade apical e por caracteres do sistema reprodutivo, especialmente nos machos. No entanto, embora os caracteres morfológicos para o diagnóstico de espécies tenham sido estabelecidos, frequentemente são encontrados problemas de identificação em relação a descrições pouco detalhadas e espécimes mal preservados. Isto pode levar a incongruências taxonômicas e erros de identificação. Physaloptera retusa (Rudolphi, 1819) é a espécie mais comum do gênero e tem sido reportada para várias espécies de répteis neotropicais. Com base nos estudos das revisões de espécimes de nematódeos, identificados como P. retusa de diferentes coleções de museus, foi providenciada uma redescrição detalhada, incluindo-se o material-tipo, espécimes “voucher” e novos espécimes obtidos neste estudo com novos dados morfológicos, obtidos a partir de microscopia eletrônica de luz e varredura

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Routine serial echocardiography in systolic heart failure: is it time for the heart failure guidelines to change?

The authors sought to obtain objective evidence for impacting the American College of Cardiology Heart Failure Guidelines for the routine use of serial echocardiography by assessing the reliability of the use of clinician-assessed patient symptoms and New York Heart Association (NYHA) functional classification compared with ejection fraction (EF) measured by echocardiography. A prospective study in 256 patients with systolic heart failure (HF) enrolled into an HF disease management program with EF ≤40% and at least 2 annual echocardiograms were included. Only 86 of 256 (33.5%) patients were correctly classified by NYHA class as showing improvement, no change, or deterioration as compared with echocardiographic assessments. Patients whose NYHA class showed no change between echocardiograms had the lowest survival rate. Quantification in patient's status with NYHA classification is not always a reliable assessment to evaluate prognosis and guide medical therapy for patients with systolic HF

Impact of paravalvular leak on outcomes after transcatheter aortic valve implantation : meta-analysis of Kaplan-Meier-derived individual patient data

Background Paravalvular leak (PVL) after transcatheter aortic valve implantation (TAVI) is frequent and the impact of mild PVL on outcomes remains uncertain. Our study aimed to evaluate the impact of PVL on TAVI outcomes. Methods To analyze late outcomes of patients after TAVI according to the presence and severity of PVL, PubMed/MEDLINE, EMBASE and Google Scholar were searched for studies that reported rates of all-cause mortality/survival and/or rehospitalization and/or cardiovascular mortality accompanied by at least one Kaplan-Meier curve for any of these outcomes. We adopted a 2-stage approach to reconstruct individual patient data based on the published Kaplan-Meier graphs. Results Thirty-eight studies with Kaplan-Meier curves met our eligibility criteria including over 25,000 patients. Patients with any degree of PVL after TAVI had a significantly higher risk of overall mortality (hazard ratio (HR), 1.52; 95% confidence interval (CI), 1.43-1.61; p < 0.001), rehospitalization (HR, 1.81; 95% CI, 1.54-2.12; p < 0.001), and cardiovascular mortality (HR, 1.52; 95% CI, 1.33-1.75; p < 0.001) over time. These findings remained consistent when we stratified the results for the methods of assessment of PVL (i.e., echocardiography vs. angiography) and PVL severity. Both moderate/severe PVL and mild PVL were associated with increased risk of overall mortality (p < 0.001), rehospitalization (p < 0.001), and cardiovascular mortality (p < 0.001) during follow-up. Conclusions Patients with PVL, even if mild, experience higher risk of all-cause mortality, rehospitalization, and cardiovascular mortality following TAVI. These findings provide support to the implementation of procedural strategies to prevent any degree of PVL at the time of TAVI

Induction of COX-2 expression by acrolein in the rat model of hemorrhagic cystitis

Aim: Acrolein (ACR) is a urinary metabolite of cyclophosphamide (CPS) and ifosfamide (IFS), which has been demonstrated to be the causative agent of hemorrhagic cystitis (HC), induced by these compounds. In this study, we investigate the participation of cyclooxygenase-2 (COX-2) on ACR-induced HC. Methods: Male Wistar rats (150–200 g; six rats per group) were treated with distilled water or intravesical ACR and analyzed by changes in bladder wet weight, macroscopic and microscopic parameters and COX-2 expression. Results: COX-2 immunohistochemical expression was significant 12 h after ACR administration mainly in subepithelial cells. ACR injection also alters some macroscopic and microscopic parameters in bladder of rats analyzed by Gray’s criteria. Conclusions: COX-2 participates in the pathogenesis of ACR-induced HC first seen 12 h after initial contact between ACR and urothelium.National Research Council of Brazil (CNPq) and Fundação Cearense de Amparo a Pesquisa (FUNCAP), Ceará-Brazil, for financial support