IOeRT conventional and FLASH treatment planning system implementation exploiting fast GPU Monte Carlo: The case of breast cancer.

Partial breast irradiation for the treatment of early-stage breast cancer patients can be performed by means of Intra Operative electron Radiation Therapy (IOeRT). One of the main limitations of this technique is the absence of a treatment planning system (TPS) that could greatly help in ensuring a proper coverage of the target volume during irradiation. An IOeRT TPS has been developed using a fast Monte Carlo (MC) and an ultrasound imaging system to provide the best irradiation strategy (electron beam energy, applicator position and bevel angle) and to facilitate the optimisation of dose prescription and delivery to the target volume while maximising the organs at risk sparing. The study has been performed in silico, exploiting MC simulations of a breast cancer treatment. Ultrasound-based input has been used to compute the absorbed dose maps in different irradiation strategies and a quantitative comparison between the different options was carried out using Dose Volume Histograms. The system was capable of exploring different beam energies and applicator positions in few minutes, identifying the best strategy with an overall computation time that was found to be completely compatible with clinical implementation. The systematic uncertainty related to tissue deformation during treatment delivery with respect to imaging acquisition was taken into account. The potential and feasibility of a GPU based full MC TPS implementation of IOeRT breast cancer treatments has been demonstrated in-silico. This long awaited tool will greatly improve the treatment safety and efficacy, overcoming the limits identified within the clinical trials carried out so far.

Precision medicine: "Point of Care Ultrasound" (PoCUS) in the diagnostic approach to the patient with hyponatremia.

Hyponatremia is a multifactorial disorder defined as a decrease in plasma sodium concentration. Its differential diagnosis requires an adequate evaluation of the extracellular volume (ECV). However, ECV determination, simply based on the clinical history, vital signs, physical examination, and laboratory findings can leads to misdiagnosis and inappropriate treatment. The use of Point-of-Care Ultrasound (POCUS), through the combination of Lung Ultrasound (LUS), Venous Excess UltraSound (VExUS) and Focused Cardiac Ultrasound (FoCUS), allows a much more accurate holistic assessment of the patient's ECV status in combination with the other parameters.

Medicina de precisión: «Point of Care Ultrasound» (PoCUS) en el abordaje diagnóstico del paciente con hiponatremia / Precision medicine: “Point of Care Ultrasound” (PoCUS) in the diagnostic approach to the patient with hyponatremia

La hiponatremia es un trastorno multifactorial definido como una disminución en la concentración plasmática de sodio. Su diagnóstico diferencial requiere una evaluación adecuada del volumen extracelular. Sin embargo, la determinación del volumen extracelular, simplemente basada en la historia clínica, las constantes vitales, el examen físico y los hallazgos de laboratorio, conducen en ocasiones a un diagnóstico erróneo por lo que el enfoque terapéutico puede ser equivocado. El empleo de ecografía a pie de cama (Point-of-Care Ultrasound [PoCUS]), mediante la combinación de ecografía pulmonar (Lung Ultrasound [LUS]), Venous Excess UltraSound (VExUS) y la ecocardioscopia (Focused Cardiac Ultrasound [FoCUS]) permiten, en combinación con el resto de los parámetros, una valoración holística mucho más precisa del estado del volumen extracelular del paciente.(AU)

Hyponatremia is a multifactorial disorder defined as a decrease in plasma sodium concentration. Its differential diagnosis requires an adequate evaluation of the extracellular volume. However, extracellular volume determination, simply based on the clinical history, vital signs, physical examination, and laboratory findings can leads to misdiagnosis and inappropriate treatment. The use of Point-of-Care Ultrasound (PoCUS), through the combination of Lung Ultrasound (LUS), Venous Excess UltraSound (VExUS) and Focused Cardiac Ultrasound (FoCUS), allows a much more accurate holistic assessment of the patient's extracellular volume status in combination with the other parameters.(AU)

Trajectories of Kidney Function in Heart Failure Over a 15-Year Follow-Up: Clinical Profiling and Mortality.

BACKGROUND: Limited data are available on the long-term trajectory of estimated glomerular filtration rate (eGFR) in patients with chronic heart failure. OBJECTIVES: The authors evaluated eGFR dynamics using the 2009 Chronic Kidney Disease Epidemiology Collaboration equation and its prognostic significance in a real-world cohort over a 15-year follow-up. METHODS: A prospective observational registry of ambulatory heart failure outpatients was conducted, with regular eGFR assessments at baseline and on a 3-month schedule for ≤15 years. Urgent kidney function assessments were excluded. Locally weighted error sum of squares curves were plotted for predefined subgroups. Multivariable longitudinal Cox regression analyses were conducted to assess associations with all-cause and cardiovascular death. RESULTS: A total of 2,672 patients were enrolled consecutively between August 2001 and December 2021. The average age was 66.8 ± 12.6 years, and 69.8% were men. Among 40,970 creatinine measurements, 28,634 were used for eGFR analysis, averaging 10.7 ± 8.5 per patient. Over the study period, a significant decline in eGFR was observed in the entire cohort, with a slope of -1.70 mL/min/1.73 m2 per year (95% CI: -1.75 to -1.66 mL/min/1.73 m2 per year). Older patients, those with diabetes, a preserved ejection fraction, a higher baseline eGFR, elevated hospitalization rates, and those who died during follow-up experienced more pronounced decreases in the eGFR. Moreover, the decrease in kidney function correlated independently with all-cause mortality and cardiovascular death. CONCLUSIONS: These findings highlight the sustained decline in eGFR over 15 years in patients with heart failure, with variations based on clinical characteristics, and emphasize the importance of regular eGFR monitoring in this population.

Microcosm experiment combined with process-based modeling reveals differential response and adaptation of aquatic primary producers to warming and agricultural run-off.

Fertilizers, pesticides and global warming are threatening freshwater aquatic ecosystems. Most of these are shallow ponds or slow-flowing streams or ditches dominated by submerged macrophytes, periphyton or phytoplankton. Regime shifts between the dominance of these primary producers can occur along a gradient of nutrient loading, possibly triggered by specific disturbances influencing their competitive interactions. However, phytoplankton dominance is less desirable due to lower biodiversity and poorer ecosystem function and services. In this study, we combined a microcosm experiment with a process-based model to test three hypotheses: 1) agricultural run-off (ARO), consisting of nitrate and a mixture of organic pesticides and copper, differentially affects primary producers and enhances the risk of regime shifts, 2) warming increases the risk of an ARO-induced regime shift to phytoplankton dominance and 3) custom-tailored process-based models support mechanistic understanding of experimental results through scenario comparison. Experimentally exposing primary producers to a gradient of nitrate and pesticides at 22°C and 26°C supported the first two hypotheses. ARO had direct negative effects on macrophytes, while phytoplankton gained from warming and indirect effects of ARO like a reduction in the competitive pressure exerted by other groups. We used the process-based model to test eight different scenarios. The best qualitative fit between modeled and observed responses was reached only when taking community adaptation and organism acclimation into account. Our results highlight the importance of considering such processes when attempting to predict the effects of multiple stressors on natural ecosystems.

Associations between punitive policies and legal barriers to consensual same-sex sexual acts and HIV among gay men and other men who have sex with men in sub-Saharan Africa: a multicountry, respondent-driven sampling survey.

BACKGROUND: Few assessments of associations between structural-level factors and HIV among gay men and other men who have sex with men (MSM) have been conducted, especially in sub-Saharan Africa. Our objective was to examine HIV testing history, HIV status, and stigmas among MSM living in ten countries with heterogeneous legal environments. METHODS: This study used pooled data from ten country-specific, cross-sectional studies done in 25 sites in Burkina Faso, Cameroon, Côte d'Ivoire, The Gambia, Guinea-Bissau, Nigeria, Senegal, Eswatini, Rwanda, and Togo. MSM were recruited by respondent-driven sampling and were eligible if they met country-specific requirements for age, area of residence, and self reported being assigned male sex at birth and having anal sex with a man in the past 12 months. Policy related to same-sex sexual behaviour for each country was categorised as not criminalised or criminalised. Countries were also categorised on the basis of recent reports of prosecutions related to same-sex sexual acts. Legal barriers were defined as those that legally prevented registration or operation of sexual orientation related civil society organisations (CSOs). Individual data on HIV testing history, HIV status, and stigma were collected via interviewer-administered sociobehavioural questionnaires and HIV testing. Multilevel logistic regression with random intercepts was used to assess the association between policies, recent prosecutions, legal barriers to CSOs, and HIV-related factors with adjusted odds ratios (aORs) and 95% CIs. FINDINGS: Between Aug 3, 2011, and May 27, 2020, we recruited 8047 MSM with a median age of 23 years (IQR 21-27). 4886 (60·7%) lived in countries that criminalise same-sex sexual acts. HIV prevalence among MSM was higher in criminalised settings than non-criminalised settings (aOR 5·15, 95% CI 1·12-23·57); higher in settings with recent prosecutions than in settings without prosecutions (12·06, 7·19-20·25); and higher in settings with barriers to CSOs than without barriers to CSOs (9·83, 2·00-48·30). HIV testing or status awareness was not associated with punitive policies or practices. Stigma was associated with HIV status but did not consistently vary across legal environments. Disparities in HIV prevalence between MSM and other adult men were highest in punitive settings. INTERPRETATION: Structural risks including discriminatory country-level policies, prosecutions, and legal barriers might contribute to higher HIV prevalence among MSM. Taken together, these data highlight the importance of decriminalisation and decreasing enforcement, alongside stigma reduction, as central to effective control for HIV. FUNDING: National Institutes of Health. TRANSLATION: For the French translation of the abstract see Supplementary Materials section.

GPU-accelerated Monte Carlo simulation of electron and photon interactions for radiotherapy applications.

Objective. The Monte Carlo simulation software is a valuable tool in radiation therapy, in particular to achieve the needed accuracy in the dose evaluation for the treatment plans optimisation. The current challenge in this field is the time reduction to open the way to many clinical applications for which the computational time is an issue. In this manuscript we present an innovative GPU-accelerated Monte Carlo software for dose valuation in electron and photon based radiotherapy, developed as an update of the FRED (Fast paRticle thErapy Dose evaluator) software.Approach. The code transports particles through a 3D voxel grid, while scoring their energy deposition along their trajectory. The models of electromagnetic interactions in the energy region between 1 MeV-1 GeV available in literature have been implemented to efficiently run on GPUs, allowing to combine a fast tracking while keeping high accuracy in dose assessment. The FRED software has been bench-marked against state-of-art full MC (FLUKA, GEANT4) in the realm of two different radiotherapy applications: Intra-Operative Radio Therapy and Very High Electron Energy radiotherapy applications.Results. The single pencil beam dose-depth profiles in water as well as the dose map computed on non-homogeneous phantom agree with full-MCs at 2% level, observing a gain in processing time from 200 to 5000.Significance. Such performance allows for computing a plan with electron beams in few minutes with an accuracy of ∼%, demonstrating the FRED potential to be adopted for fast plan re-calculation in photon or electron radiotherapy applications.

Perspectives in linear accelerator for FLASH VHEE: Study of a compact C-band system.

PURPOSE: In order to translate the FLASH effect in clinical use and to treat deep tumors, Very High Electron Energy irradiations could represent a valid technique. Here, we address the main issues in the design of a VHEE FLASH machine. We present preliminary results for a compact C-band system aiming to reach a high accelerating gradient and high current necessary to deliver a Ultra High Dose Rate with a beam pulse duration of 3µs. METHODS: The proposed system is composed by low energy high current injector linac followed by a high acceleration gradient structure able to reach 60-160 MeV energy range. To obtain the maximum energy, an energy pulse compressor options is considered. CST code was used to define the specifications RF parameters of the linac. To optimize the accelerated current and therefore the delivered dose, beam dynamics simulations was performed using TSTEP and ASTRA codes. RESULTS: The VHEE parameters Linac suitable to satisfy FLASH criteria were simulated. Preliminary results allow to obtain a maximum energy of 160 MeV, with a peak current of 200 mA, which corresponds to a charge of 600 nC. CONCLUSIONS: A promising preliminary design of VHEE linac for FLASH RT has been performed. Supplementary studies are on going to complete the characterization of the machine and to manufacture and test the RF prototypes.

Low dose rate γ-irradiation protects fruit fly chromosomes from double strand breaks and telomere fusions by reducing the esi-RNA biogenesis factor Loquacious.

It is still continuously debated whether the low-dose/dose-rate (LDR) of ionizing radiation represents a hazard for humans. Model organisms, such as fruit flies, are considered valuable systems to reveal insights into this issue. We found that, in wild-type Drosophila melanogaster larval neuroblasts, the frequency of Chromosome Breaks (CBs), induced by acute γ-irradiation, is considerably reduced when flies are previously exposed to a protracted dose of 0.4 Gy delivered at a dose rate of 2.5 mGy/h. This indicates that this exposure, which is associated with an increased expression of DNA damage response proteins, induces a radioadaptive response (RAR) that protects Drosophila from extensive DNA damage. Interestingly, the same exposure reduces the frequency of telomere fusions (TFs) from Drosophila telomere capping mutants suggesting that the LDR can generally promote a protective response on chromatin sites that are recognized as DNA breaks. Deep RNA sequencing revealed that RAR is associated with a reduced expression of Loquacious D (Loqs-RD) gene that encodes a well-conserved dsRNA binding protein required for esiRNAs biogenesis. Remarkably, loss of Loqs mimics the LDR-mediated chromosome protection as it decreases the IR-induced CBs and TFs frequency. Thus, our molecular characterization of RAR identifies Loqs as a key factor in the cellular response to LDR and in the epigenetic routes involved in radioresistance.

Global warming, renal function and heart failure over 20 years.

BACKGROUND: The impact of increasing temperatures on renal function in heart failure (HF) outpatients has never been specifically analyzed. METHODS: We retrieved creatinine and estimated glomerular filtration rate (eGFR) values of all HF outpatients followed at a HF clinic and temperature data from 2002 to 2021. For each patient and each year we averaged values of creatinine, eGFR and monthly temperatures during summer and the rest of the year. RESULTS: The study cohort included 2167 HF patients undergoing 25,865 elective visits, with a median of 14 visits for each patient (interquartile range 7-23). At the first visit, patients (70% men) had an age of 67 ± 13 years, and a left ventricular ejection fraction of 35 ± 14%. Creatinine was 1.25 ± 0.51 mg/dL, and eGFR was 65 ± 25 mL/min/1.73 m2. When pooling together all average values of creatinine and eGFR measured during summer or in the rest of the year, creatinine was significantly higher in summer (difference 0.04, 95% confidence interval [CI] 0.04 to 0.05, p < 0.001), and eGFR was slightly lower (difference - 2.0, 95% CI -2.3 to -1.8, p < 0.001). Temperature rise during summer increased from 2002 to 2021. The absolute (Δ) and percent (Δ%) elevation in temperature during summer displayed independent associations with Δ and Δ% creatinine and eGFR after adjusting for age, sex, plasma creatinine, and HF therapies. CONCLUSIONS: The magnitude of temperature elevation during summer has increased over 20 years. This elevation correlates with the decline in renal function during summer. This might be an example of how global warming is affecting human health.

A functional definition to distinguish ponds from lakes and wetlands.

Ponds are often identified by their small size and shallow depths, but the lack of a universal evidence-based definition hampers science and weakens legal protection. Here, we compile existing pond definitions, compare ecosystem metrics (e.g., metabolism, nutrient concentrations, and gas fluxes) among ponds, wetlands, and lakes, and propose an evidence-based pond definition. Compiled definitions often mentioned surface area and depth, but were largely qualitative and variable. Government legislation rarely defined ponds, despite commonly using the term. Ponds, as defined in published studies, varied in origin and hydroperiod and were often distinct from lakes and wetlands in water chemistry. We also compared how ecosystem metrics related to three variables often seen in waterbody definitions: waterbody size, maximum depth, and emergent vegetation cover. Most ecosystem metrics (e.g., water chemistry, gas fluxes, and metabolism) exhibited nonlinear relationships with these variables, with average threshold changes at 3.7 ± 1.8 ha (median: 1.5 ha) in surface area, 5.8 ± 2.5 m (median: 5.2 m) in depth, and 13.4 ± 6.3% (median: 8.2%) emergent vegetation cover. We use this evidence and prior definitions to define ponds as waterbodies that are small (< 5 ha), shallow (< 5 m), with < 30% emergent vegetation and we highlight areas for further study near these boundaries. This definition will inform the science, policy, and management of globally abundant and ecologically significant pond ecosystems.

Bringing Anatomical Information into Neuronal Network Models.

For constructing neuronal network models computational neuroscientists have access to wide-ranging anatomical data that nevertheless tend to cover only a fraction of the parameters to be determined. Finding and interpreting the most relevant data, estimating missing values, and combining the data and estimates from various sources into a coherent whole is a daunting task. With this chapter we aim to provide guidance to modelers by describing the main types of anatomical data that may be useful for informing neuronal network models. We further discuss aspects of the underlying experimental techniques relevant to the interpretation of the data, list particularly comprehensive data sets, and describe methods for filling in the gaps in the experimental data. Such methods of "predictive connectomics" estimate connectivity where the data are lacking based on statistical relationships with known quantities. Exploiting organizational principles that link the plethora of data in a unifying framework can be useful for informing computational models. Besides overarching principles, we touch upon the most prominent features of brain organization that are likely to influence predicted neuronal network dynamics, with a focus on the mammalian cerebral cortex. Given the still existing need for modelers to navigate a complex data landscape full of holes and stumbling blocks, it is vital that the field of neuroanatomy is moving toward increasingly systematic data collection, representation, and publication.

Multiple-stressor exposure of aquatic food webs: Nitrate and warming modulate the effect of pesticides.

Shallow lakes provide essential ecological and environmental services but are exposed to multiple stressors, including agricultural runoff (ARO) and climate warming, which may act on different target receptors disrupting their normal functioning. We performed a microcosm experiment to determine the individual and combined effects of three stressors-pesticides, nitrate and climate warming-on two trophic levels representative of communities found in shallow lakes. We used three submerged macrophyte species (Myriophyllum spicatum, Potamogeton perfoliatus, Elodea nuttallii), eight benthic or pelagic microalgal species and three primary consumer species (Daphnia magna, Lymnaea stagnalis, Dreissena polymorpha) with different feeding preferences for benthic and pelagic primary producers. Eight different treatments consisted of a control, only nitrate, a pesticide cocktail, and a combination of nitrate and pesticides representing ARO, each replicated at ambient temperature and +3.5°C, mimicking climate warming. Pesticides negatively affected all functional groups except phytoplankton, which increased. Warming and nitrate modified these effects. Strong but opposite pesticide and warming effects on Myriophyllum drove the response of the total macrophyte biomass. Nitrate significantly suppressed Myriophyllum final biomass, but not overall macrophyte and microalgal biomass. Nitrate and pesticides in combination caused a macrophyte decline, and the system tipped towards phytoplankton dominance. Strong synergistic or even reversed stressor interaction effects were observed for macrophytes or periphyton. We emphasize the need for more complex community- and ecosystem-level studies incorporating multiple stressor scenarios to define safe operating spaces.

Diagnosis of presence and extent of deep infiltrating endometriosis by preoperative MRI-improvement of staging accuracy by expert training.

INTRODUCTION: This study evaluates the clinical utility of magnetic resonance imaging (MRI) for the determination of presence and extent of DIE with special emphasis on effects of MRI reporting training MATERIAL AND METHODS: Data from 80 patients with clinically suspected DIE presented at our certified endometriosis center between 2015 and 2018 were analyzed. For all patients an ENZIAN score (describing DIE related to individual anatomical localizations) was obtained based on the preoperative MRI findings. The intraoperatively determined ENZIAN score served as the reference for assessment of diagnostic performance of the MRI. RESULTS: Overall, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for the diagnosis of DIE by MRI were 76.9%, 53.3%, 87.7% and 34.8%, respectively. Analysis by compartment revealed a sensitivity, specificity, PPV and NPV of 59.5%, 88.2%, 86.2% and 63.9%, respectively, for compartment A, with similar values for compartment B, and 50.0%, 88.9%, 64.7% and 81.4%, respectively, for the less often affected compartment C. Expert training (n = 32 before, n = 48 after) led to a considerable increase in sensitivities for the overall detection of DIE (84.6% vs. 65.4%, p = 0.071) and for the detection of DIE in compartment A (71.4% vs. 35.7%, p = 0.026), compartment B (66.7% vs. 37.5%, p = 0.057) and compartment C (75.0% vs. 20.0%, p = 0.010), without significant loss in specificity (all p > 0.50). DISCUSSION: After expert training, MRI has a good sensitivity with fair specificity regarding preoperative assessment of presence, location and extent of DIE.

Immunomodulatory responses in plectasin-supplemented broilers under tropical environmental conditions.

The present study was aimed to determine the immunomodulatory effects of dietary supplementation of the antimicrobial peptide (AMP) plectasin on broiler chickens. The experiment involved 300-day-old Ross chicks reared in a conventional housing system and subjected to ambient temperature and relative humidity. The birds were randomly allocated to five treatment groups: the non-supplemented negative control group (T1), enramycin-supplemented group (T2), and groups supplemented with varying doses of plectasin at 150 ppm, 300 ppm, and 450 ppm (T3, T4, and T5, respectively) from day 1 to 35. The results indicated that plectasin supplementation increased jejunal and ileal goblet cell (GC) counts, serum interferon-gamma (IFN-γ) levels at neonatal age, and serum immunoglobulin Y (IgY) titer on days 7, 21, 28, and 35. These findings confirmed that plectasin induces positive immunomodulatory responses by specifically enhancing gut mucosal barriers, early innate immunity, and humoral immune response. Specifically, supplementation at 150 ppm may be considered as the optimal dose for inclusion in broiler chicken feeds.

Experienced Homophobia and HIV Infection Risk Among U.S. Gay, Bisexual, and Other Men Who Have Sex with Men: A Meta-Analysis.

Purpose: Experienced homophobia-negative treatment and perceptions that gay, bisexual, and other men who have sex with men (MSM) encounter because of their sexual orientations-may promote HIV infection among MSM. We conducted a rapid review and meta-analysis to examine experienced homophobia in relation to HIV infection risk. Methods: We searched Embase, MEDLINE, PsycINFO, and Sociological Abstracts to acquire data from U.S. studies published during 1992-2017. Studies examined experienced homophobia in relation to sexual risk behavior, poor HIV care continuum engagement, and diagnosed HIV infection. Random-effects models yielded summary odds ratios (ORs) and 95% confidence intervals (CIs). Results: Experienced homophobia was associated with having any sexual risk behavior (OR = 1.33, 95% CI = 1.25-1.42, I2 = 89.2%), receptive condomless anal sex (CAS) (OR = 1.33, 95% CI = 1.14-1.56, I2 = 63.6%), HIV-discordant CAS (OR = 1.66, 95% CI = 1.29-2.13, I2 = 85.3%), an increased number of sex partners (OR = 1.16, 95% CI = 1.13-1.19, I2 = 0.0%), diagnosed HIV infection (OR = 1.34, 95% CI = 1.10-1.64, I2 = 86.3%), and poor HIV care continuum engagement among MSM living with HIV (OR = 1.45, 95% CI = 1.02-2.08, I2 = 47.0%). Effect sizes for any sexual risk behavior were larger in samples with ≥50% Black or Latino (vs. White) MSM and for family-based mistreatment and perceived sexual minority stigma (vs. other homophobia types). Conclusion: Experienced homophobia is associated with HIV infection risk among MSM. Its association with sexual risk behavior may be stronger among Black and Latino (vs. White) MSM and for family-based mistreatment and perceived sexual minority stigma (vs. other homophobia types). Research is needed to better understand causality in these relationships and the role of interventions to reduce homophobia.