Validation of a bladder symptom screening tool in women with incontinence due to overactive bladder

Abstract Introduction and hypothesis The Actionable Bladder Symptom Screening Tool (ABSST) was initially developed to identify patients with multiple sclerosis (MS) who could benefit from lower urinary tract assessment and treatment. Assessment of the measurement properties of the ABSST, including its ability to identify patients experiencing bladder symptoms related to overactive bladder (OAB), was undertaken in a general female population. Methods One hundred women completed the ABSST, OAB Questionnaire Short Form (OAB-q SF), and a patient global impression of severity (PGI-S) scale. Half of the sample had urgency urinary incontinence (UUI), while the other half did not. Descriptive statistics, reliability, and validity were examined, as was sensitivity and specificity of the previous cut-off score established in MS. Results Fifty-three women with UUI/OAB and 47 controls took part (71.0 % Caucasian). Patients with UUI/OAB were older (54.6 vs 40.4 years), had a higher body mass index (31.1 vs 26.4 kg/m 2 ), and more comorbid conditions. The Cronbach's alpha reliability of ABSST was 0.90. High correlations with OAB-q SF Symptom Bother and Health Related Quality of Life (r=0.83 and −0.81 respectively) supported concurrent validity. Using the PGI-S severity scores as a reference, the ABSST was able to distinguish patients with differing severity levels (known-group validity). Physician assessment of the need for further evaluation/treatment showed sensitivity (79 %) and specificity (98 %), supporting a cut-off score of ≥3. Conclusions The previous MS ABSST scoring algorithm was validated in a non-neurogenic female population. ABSST is a reliable, valid, and sensitive tool for screening women with UUI/OAB

Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests

Funding: Data collection was largely funded by the UK Natural Environment Research Council (NERC) project TREMOR (NE/N004655/1) to D.G., E.G. and O.P., with further funds from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES, finance code 001) to J.V.T. and a University of Leeds Climate Research Bursary Fund to J.V.T. D.G., E.G. and O.P. acknowledge further support from a NERC-funded consortium award (ARBOLES, NE/S011811/1). This paper is an outcome of J.V.T.’s doctoral thesis, which was sponsored by CAPES (GDE 99999.001293/2015-00). J.V.T. was previously supported by the NERC-funded ARBOLES project (NE/S011811/1) and is supported at present by the Swedish Research Council Vetenskapsrådet (grant no. 2019-03758 to R.M.). E.G., O.P. and D.G. acknowledge support from NERC-funded BIORED grant (NE/N012542/1). O.P. acknowledges support from an ERC Advanced Grant and a Royal Society Wolfson Research Merit Award. R.S.O. was supported by a CNPq productivity scholarship, the São Paulo Research Foundation (FAPESP-Microsoft 11/52072-0) and the US Department of Energy, project GoAmazon (FAPESP 2013/50531-2). M.M. acknowledges support from MINECO FUN2FUN (CGL2013-46808-R) and DRESS (CGL2017-89149-C2-1-R). C.S.-M., F.B.V. and P.R.L.B. were financed by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES, finance code 001). C.S.-M. received a scholarship from the Brazilian National Council for Scientific and Technological Development (CNPq 140353/2017-8) and CAPES (science without borders 88881.135316/2016-01). Y.M. acknowledges the Gordon and Betty Moore Foundation and ERC Advanced Investigator Grant (GEM-TRAITS, 321131) for supporting the Global Ecosystems Monitoring (GEM) network (gem.tropicalforests.ox.ac.uk), within which some of the field sites (KEN, TAM and ALP) are nested. The authors thank Brazil–USA Collaborative Research GoAmazon DOE-FAPESP-FAPEAM (FAPESP 2013/50533-5 to L.A.) and National Science Foundation (award DEB-1753973 to L. Alves). They thank Serrapilheira Serra-1709-18983 (to M.H.) and CNPq-PELD/POPA-441443/2016-8 (to L.G.) (P.I. Albertina Lima). They thank all the colleagues and grants mentioned elsewhere [8,36] that established, identified and measured the Amazon forest plots in the RAINFOR network analysed here. The authors particularly thank J. Lyod, S. Almeida, F. Brown, B. Vicenti, N. Silva and L. Alves. This work is an outcome approved Research Project no. 19 from ForestPlots.net, a collaborative initiative developed at the University of Leeds that unites researchers and the monitoring of their permanent plots from the world’s tropical forests [61]. The authros thank A. Levesley, K. Melgaço Ladvocat and G. Pickavance for ForestPlots.net management. They thank Y. Wang and J. Baker, respectively, for their help with the map and with the climatic data. The authors acknowledge the invaluable help of M. Brum for kindly providing the comparison of vulnerability curves based on PAD and on PLC shown in this manuscript. They thank J. Martinez-Vilalta for his comments on an early version of this manuscript. The authors also thank V. Hilares and the Asociación para la Investigación y Desarrollo Integral (AIDER, Puerto Maldonado, Peru); V. Saldaña and Instituto de Investigaciones de la Amazonía Peruana (IIAP) for local field campaign support in Peru; E. Chavez and Noel Kempff Natural History Museum for local field campaign support in Bolivia; ICMBio, INPA/NAPPA/LBA COOMFLONA (Cooperativa mista da Flona Tapajós) and T. I. Bragança-Marituba for the research support.Tropical forests face increasing climate risk1,2, yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, Ψ50) and hydraulic safety margins (for example, HSM50) are important predictors of drought-induced mortality risk3-5, little is known about how these vary across Earth's largest tropical forest. Here, we present a pan-Amazon, fully standardized hydraulic traits dataset and use it to assess regional variation in drought sensitivity and hydraulic trait ability to predict species distributions and long-term forest biomass accumulation. Parameters Ψ50 and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both Ψ50 and HSM50 influence the biogeographical distribution of Amazon tree species. However, HSM50 was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM50 are gaining more biomass than are low HSM50 forests. We propose that this may be associated with a growth-mortality trade-off whereby trees in forests consisting of fast-growing species take greater hydraulic risks and face greater mortality risk. Moreover, in regions of more pronounced climatic change, we find evidence that forests are losing biomass, suggesting that species in these regions may be operating beyond their hydraulic limits. Continued climate change is likely to further reduce HSM50 in the Amazon6,7, with strong implications for the Amazon carbon sink.Publisher PDFPeer reviewe

Tropical forest lianas have greater non-structural carbohydrate concentrations in the stem xylem than trees

Lianas (woody vines) are important components of tropical forests and are known to compete with host trees for resources, decrease tree growth and increase tree mortality. Given the observed increases in liana abundance in some forests and their impacts on forest function, an integrated understanding of carbon dynamics of lianas and liana-infested host trees is critical for improved prediction of tropical forest responses to climate change. Non-structural carbohydrates (NSC) are the main substrate for plant metabolism (e.g., growth, respiration), and have been implicated in enabling tree survival under environmental stress, but little is known of how they vary among life-forms or of how liana infestation impacts host tree NSC. We quantified stem total NSC (NSC) concentrations and its fractions (starch and soluble sugars) in trees without liana infestation, trees with more than 50% of the canopy covered by lianas, and the lianas infesting those trees. We hypothesized that i) liana infestation depletes NSC storage in host trees by reducing carbon assimilation due to competition for resources; ii) trees and lianas, which greatly differ in functional traits related to water transport and carbon uptake, would also have large differences in NSC storage, and that As water availability has a significant role in NSC dynamics of Amazonian tree species, we tested these hypotheses within a moist site in western Amazonia and a drier forest site in southern Amazonia. We did not find any difference in NSC, starch or soluble sugar concentrations between infested and non-infested trees, in either site. This result suggests that negative liana impact on trees may be mediated through mechanisms other than depletion of host tree NSC concentrations. We found lianas have higher stem NSC and starch than trees in both sites. The consistent differences in starch concentrations, a long term NSC reserve, between life forms across sites reflect differences in carbon gain and use of lianas and trees. Soluble sugar concentrations were higher in lianas than in trees in the moist site but indistinguishable between life forms in the dry site. The lack of difference in soluble sugars between trees and lianas in the dry site emphasize the importance of this NSC fraction for plant metabolism of plants occurring in water limited environments. Abstract in Portuguese and Spanish are available in the supplementary material. [Abstract copyright: © The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: [email protected].

pH fronts and tissue natural buffer interaction in gene electrotransfer protocols

Gene electrotransfer (GET) protocols, based on the introduction into the cells of genes encoding immunomodulatory molecules, constitute a safe and powerful strategy for inducing an immune response against cancer. But GET efficiency can be significantly affected by damage due to the products of electrolysis, in particular, pH fronts. To elucidate the role of pH fronts and damage in GET efficiency we present an analysis of the pH fronts-tissue natural buffer interaction through a theoretical model using the Nernst-Planck equations for ion transport assuming a tissue with a bicarbonate buffering system and its validation with experimental measurements. pH front-buffer interaction measurements unveil a remarkable behavior tuned by pulse length and frequency: during the ON pulse critical pH front trajectories (pH=8.5 or 5.5) jump forward, during the OFF pulse, they recede due to tissue natural buffer attenuation. Theory shows that they are intimately related to ion transport mode: during the ON pulse, ion transport is mainly governed by migration and trajectories jump forward in time; during the OFF pulse, migration ceases, ion transport is governed solely by diffusion and trajectories recede due to buffer attenuation. Experiments and theory show that regardless of the presence of buffer attenuation, pH fronts remain during several minutes in a non-physiological state after the treatment. These results suggest that regions enclosed by pH fronts trajectories (thus subjected to non-physiological pH values during a sufficiently long time) may be subjected to plasmid damage during a GET treatment. Ways to minimize this effect, thus optimizing GET efficiency are suggested.Fil: Marino, M. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires; ArgentinaFil: Olaiz, Nahuel Manuel. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; ArgentinaFil: Signori, Emanuela. Consiglio Nazionale delle Ricerche; ItaliaFil: Maglietti, Felipe Horacio. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; ArgentinaFil: Suárez, Cecilia Ana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; ArgentinaFil: Michinski, Sebastián Diego. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; ArgentinaFil: Marshall, Guillermo Ricardo. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; Argentin

Tissue damage modeling in gene electrotransfer: the role of pH

Optimal gene electrotransfer (GET) requires a compromise between maximum transgene expression and minimal tissue damage. GET in skeletal muscle can be improved by pretreatment with hyaluronidase which contributes to maximize transgene uptake and expression. Nevertheless, tissue damage remains severe close to the electrodes, with a concomitant loss of GET efficiency. Here we analyze the role of pH in tissue damage in GET protocols through in vivo modeling using a transparent chamber implanted into the dorsal skinfold of a mouse (DSC) and intravital microscopy, and in silico modeling using the Poisson–Nernst–Planck equations for ion transport. DSC intravital microscopy reveals the existence of pH fronts emerging from both electrodes and that these fronts are immediate and substantial thus giving rise to tissue necrosis. Theoretical modeling confirms experimental measurements and shows that in GET protocols whether with or without hyaluronidase pretreatment, pH fronts are the principal cause of muscle damage near the electrodes. It also predicts that an optimal efficiency in GET protocols, that is a compromise between obtaining maximum electroporated area and minimal tissue damage, is achieved when the electric field applied is near 183 V/cm in a GET protocol and 158 V/cm in a hyaluronidase + GET protocol.Fil: Olaiz, Nahuel Manuel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Signori, Emanuela. Istituto di Farmacologia Traslazionale; ItaliaFil: Maglietti, Felipe Horacio. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Soba, Alejandro. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Suárez, Cecilia Ana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Turjanski, Pablo Guillermo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Michinski, Sebastián Diego. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Marshall, Guillermo Ricardo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Non-structural carbohydrates mediate seasonal water stress across Amazon forests

Non-structural carbohydrates (NSC) are major substrates for plant metabolism and have been implicated in mediating drought-induced tree mortality. Despite their significance, NSC dynamics in tropical forests remain little studied. We present leaf and branch NSC data for 82 Amazon canopy tree species in six sites spanning a broad precipitation gradient. During the wet season, total NSC (NSCT) concentrations in both organs were remarkably similar across communities. However, NSCT and its soluble sugar (SS) and starch components varied much more across sites during the dry season. Notably, the proportion of leaf NSCT in the form of SS (SS:NSCT) increased greatly in the dry season in almost all species in the driest sites, implying an important role of SS in mediating water stress in these sites. This adjustment of leaf NSC balance was not observed in tree species less-adapted to water deficit, even under exceptionally dry conditions. Thus, leaf carbon metabolism may help to explain floristic sorting across water availability gradients in Amazonia and enable better prediction of forest responses to future climate change