Anatomical evaluation of the superficial parasternal intercostal plane block.

BACKGROUND AND OBJECTIVES: Few cadaveric studies have evaluated the dye spread with superficial parasternal intercostal plane (SPIP) blocks. In this study, we examined the dye spread of an ultrasound-guided SPIP block in a human cadaveric model with single and double injection techniques. METHODS: Seven single and four double ultrasound-guided SPIP blocks were performed in seven unembalmed human cadavers using an in-plane approach with the transducer oriented parasagitally 1 cm lateral to the sternum. For the single SPIP, 20 mL of 0.166% methylene blue was injected in the second or third intercostal space into the plane between the Pec major muscle and internal intercostal muscles. For the double SPIP, 10 mL of 0.166% methylene blue was injected in the SPIP at one intercostal space with an additional 10 mL injected in the SPIP two intercostal spaces caudally. The extent of dye spread was documented. RESULTS: For all SPIP injections, there was consistent mediolateral spread from the sternum to the mid-clavicular line, with many extending laterally to the anterior axillary line. There was craniocaudal spread to a median of 2 intercostal muscles with a single SPIP and 3 intercostal muscles with a double SPIP. There was a median spread to 1 intercostal nerve for the single SPIP and 1.5 intercostal nerves with the double SPIP. CONCLUSIONS: The SPIP block demonstrated limited spread in this cadaver study. A single injection of this block may be of limited value and multiple SPIP injections may be needed to have adequate spread for anterior thoracic procedures.

The role of genetic testing in diagnosing Fabry's disease and its overlapping with cardiomyopathies: a case series.

Background: Fabry's disease, an X-linked lysosomal storage disorder, shares cardiac manifestations with hypertrophic cardiomyopathy (HCM). We underscore the importance of considering Fabry's disease as a differential diagnosis in HCM patients, highlighting genetic testing's role in cardiomyopathy evaluation. Case summary: Three male patients with left ventricular hypertrophy were initially diagnosed with HCM but were later found to have Fabry's disease through genetic testing. Atypical features such as renal dysfunction and conduction abnormalities raised suspicion. Genetic testing confirmed diagnosis, guiding tailored management. Discussion: Fabry's disease poses diagnostic challenges due to its resemblance to HCM. Genetic testing enables precise diagnosis and personalized management, especially in cases with atypical presentations. Early recognition and intervention, facilitated by genetic testing, can improve patient outcomes in Fabry's disease.

Lifespan effects in male UM-HET3 mice treated with sodium thiosulfate, 16-hydroxyestriol, and late-start canagliflozin.

Genetically heterogeneous UM-HET3 mice born in 2020 were used to test possible lifespan effects of alpha-ketoglutarate (AKG), 2,4-dinitrophenol (DNP), hydralazine (HYD), nebivolol (NEBI), 16α-hydroxyestriol (OH_Est), and sodium thiosulfate (THIO), and to evaluate the effects of canagliflozin (Cana) when started at 16 months of age. OH_Est produced a 15% increase (p = 0.0001) in median lifespan in males but led to a significant (7%) decline in female lifespan. Cana, started at 16 months, also led to a significant increase (14%, p = 0.004) in males and a significant decline (6%, p = 0.03) in females. Cana given to mice at 6 months led, as in our previous study, to an increase in male lifespan without any change in female lifespan, suggesting that this agent may lead to female-specific late-life harm. We found that blood levels of Cana were approximately 20-fold higher in aged females than in young males, suggesting a possible mechanism for the sex-specific disparities in its effects. NEBI was also found to produce a female-specific decline (4%, p = 0.03) in lifespan. None of the other tested drugs provided a lifespan benefit in either sex. These data bring to 7 the list of ITP-tested drugs that induce at least a 10% lifespan increase in one or both sexes, add a fourth drug with demonstrated mid-life benefits on lifespan, and provide a testable hypothesis that might explain the sexual dimorphism in lifespan effects of the SGLT2 inhibitor Cana.

Widespread habitat loss leads to ecosystem-scale decrease in trophic function.

Natural and anthropogenic disturbances have led to rapid declines in the amount and quality of available habitat in many ecosystems. Many studies have focused on how habitat loss has affected the composition and configuration of habitats, but there have been fewer studies that investigate how this loss affects ecosystem function. We investigated how a large-scale seagrass die-off altered the distribution of energetic resources of three seagrass-associated consumers with varied resource use patterns. Using long-term benthic habitat monitoring data and resource use data from Bayesian stable isotope mixing models, we generated energetic resource landscapes (E-scapes) annually between 2007 and 2019. E-scapes link the resources being used by a consumer to the habitats that produce those resources to calculate a habitat resource index as a measurement of energetic quality of the landscape. Overall, our results revealed that following the die-off there was a reduction in trophic function across all species in areas affected by the die-off event, but the response was species-specific and dependent on resource use and recovery patterns. This study highlights how habitat loss can lead to changes in ecosystem function. Incorporating changes in ecosystem function into models of habitat loss could improve understanding of how species will respond to future change.

Development and validation of prechiasmatic mouse model of subarachnoid hemorrhage to measure long-term neurobehavioral impairment.

Controllable and reproducible animal models of aneurysmal subarachnoid hemorrhage (SAH) are crucial for the systematic study of the pathophysiology and treatment of this debilitating condition. Despite the variety of animal models of SAH currently available, attempts to translate promising therapeutic strategies from preclinical studies to humans have largely failed. This failure is likely due, at least in part, to poor replication of pathology and disabilities in these preclinical models, especially the long-term neurocognitive deficits that drive poor quality of life / return to work in SAH survivors. Therefore, there is an unmet need to develop experimental models that reliably replicate the long-term clinical ramifications of SAH - especially in mice where genetic manipulations are straightforward and readily available. To address this need, we developed a standardized mouse model of SAH that reproducibly produced significant and trackable long-term neurobehavioral deficits. SAH was induced by performing double blood injections into the prechiasmatic cistern - a simple modification to the well-characterized single prechiasmatic injection mouse model of SAH. Following SAH, mice recapitulated key characteristics of SAH patients including long-term cognitive impairment as observed by a battery of behavioral testing and delayed pathophysiologic processes assayed by neuroinflammatory markers. We believe that this new SAH mouse model will be an ideal paradigm for investigating the complex pathophysiology of SAH and identifying novel druggable therapeutic targets for treating SAH-associated long-term neurocognitive deficits in patients.

Deciphering the Timing and Impact of Life-extending Drugs: A Novel Analytic Approach that Differentiates Early, Midlife, and Senescence Phase Efficacies.

Evidence that life-extending interventions are not uniformly effective across the lifespan calls for an analytic tool that can estimate age-specific treatment effects on mortality hazards. Here we report such a tool, applying it to mouse data from 42 agents tested in the NIA Interventions Testing Program. This tool identified agents that either reduced (22) or increased (16) mortality hazards or did both (6), all with marked variation in the duration of efficacy and magnitude of effect size. Only 7 reduced mortality hazards after the 90% mortality, when the burden of senescence is greatest. Sex differences were apparent in all parameters. This new analytic tool complements the commonly used log-rank test. It detects more potential life-extending candidates (22 versus 10) and indicates when during the life course they are effective. It also uncovers adverse effects. Most importantly, it identifies agents that specifically reduce mortality hazards during the senescent phase of life.

Perceived stress and renewal: The effects of long-term stress on the renewal effect.

Two online experiments evaluated the relationship between long-term stress, as measured with the Perceived Stress Scale-10, and the Renewal Effect. In the first experiment renewal was assessed with a behavioral suppression task in a science-fiction based video game. Participants learned to suppress mouse clicking during a signal for an upcoming attack to avoid losing points. The signal was first paired with an attack in Context A and extinguished in Context B and tested back in Context A. The contexts were different space galaxies where the gameplay took place. Experiment 2 used a food/illness predictive-learning paradigm. Two food items were paired with stomachache in one restaurant (A) and extinguished in Context B prior to testing in both contexts without feedback. Positive correlations were obtained between renewal and stress in each experiment. Unlike acute stress (Drexler et al., 2017), long term stress was associated with greater renewal. The effects of stress, both chronic and punctual, on renewal are discussed.

The Gehan test identifies life-extending compounds overlooked by the log-rank test in the NIA Interventions Testing Program: Metformin, Enalapril, caffeic acid phenethyl ester, green tea extract, and 17-dimethylaminoethylamino-17-demethoxygeldanamycin hydrochloride.

The National Institute on Aging Interventions Testing Program (ITP) has so far identified 12 compounds that extend the lifespan of genetically heterogeneous mice using the log-rank test. However, the log-rank test is relatively insensitive to any compound that does not uniformly reduce mortality across the lifespan. This test may thus miss compounds that only reduce mortality before midlife, for example, a plausible outcome if a compound only mitigates risk factors before midlife or if its efficacy is reduced at later ages. We therefore reanalyzed all data collected by the ITP from 2004-2022 using the Gehan test, which is more sensitive to mortality differences earlier in the life course and does not assume a uniformly reduced mortality hazard across the lifespan. The Gehan test identified 5 additional compounds, metformin, enalapril, 17-dimethylaminoethylamino-17-demethoxygeldanamycin hydrochloride (17-DMAG), caffeic acid phenethyl ester (CAPE), and green tea extract (GTE), which significantly increased survival but were previously missed by the log-rank test. Three (metformin, enalapril, and 17-DMAG) were only effective in males and two (CAPE and GTE) were only effective in females. In addition, 1,3-butanediol, which by log-rank analysis increased survival in females but not males, increased survival in males by the Gehan test. These results suggest that statistical tests sensitive to non-uniformity of drug efficacy across the lifespan should be included in the standard statistical testing protocol to minimize overlooking geroprotective interventions.

Direct and indirect costs for patients with myeloproliferative neoplasms.

Myeloproliferative neoplasms (MPNs) are associated with substantial healthcare resource use and productivity loss. This retrospective cohort analysis used disability leave and medical claims data to measure direct and indirect healthcare costs associated with MPNs. The analysis included 173 patients with myelofibrosis (MF), 4477 with polycythemia vera (PV), 6061 with essential thrombocythemia (ET), and matched controls (n = 519, n = 13,431, and n = 18,183, respectively). Total healthcare costs were significantly higher for cases versus controls in each cohort (mean cost difference: MF, $67,456; PV, $10,970; ET, $22,279). Cases were more likely than controls to take disability leave and incurred higher disability-related costs. Among subgroups with thrombotic events, direct and indirect costs were higher for cases versus controls. Thrombotic events substantially increased direct costs and disability leave for patients with PV or ET compared with the full PV or ET cohorts. These findings demonstrate increased economic burden for patients with MPNs.

Why aquatic scientists should use sulfur stable isotope ratios (ẟ34S) more often.

Over the last few decades, measurements of light stable isotope ratios have been increasingly used to answer questions across physiology, biology, ecology, and archaeology. The vast majority analyse carbon (δ13C) and nitrogen (δ15N) stable isotopes as the 'default' isotopes, omitting sulfur (δ34S) due to time, cost, or perceived lack of benefits and instrumentation capabilities. Using just carbon and nitrogen isotopic ratios can produce results that are inconclusive, uncertain, or in the worst cases, even misleading, especially for scientists that are new to the use and interpretation of stable isotope data. Using sulfur isotope values more regularly has the potential to mitigate these issues, especially given recent advancements that have lowered measurement barriers. Here we provide a review documenting case studies with real-world data, re-analysing different biological topics (i.e. niche, physiology, diet, movement and bioarchaeology) with and without sulfur isotopes to highlight the various strengths of this stable isotope for various applications. We also include a preliminary meta-analysis of the trophic discrimination factor (TDF) for sulfur isotopes, which suggest small (mean -0.4 ± 1.7 ‰ SD) but taxa-dependent mean trophic discrimination. Each case study demonstrates how the exclusion of sulfur comes at the detriment of the results, often leading to very different outputs, or missing valuable discoveries entirely. Given that studies relying on carbon and nitrogen stable isotopes currently underpin most of our understanding of various ecological processes, this has concerning implications. Collectively, these examples strongly suggest that researchers planning to use carbon and nitrogen stable isotopes for their research should incorporate sulfur where possible, and that the new 'default' isotope systems for aquatic science should now be carbon, nitrogen, and sulfur.

Latent inhibition in humans from simple stimulus exposure.

Two experiments observed an effect consistent with a latent-inhibition (LI) effect in humans that (a) did not depend on masking or instruction-generated expectations and (b) suggested that the effect results from a change in processing of the predictive cue. Participants viewed a video of a superhero character flying through three different contexts past a different stimulus in each context. In conditioning, The superhero flew past a target cue that was either Novel (Group No Exposure), had been preexposed in the Same context as where conditioning was occurring (Group Same), or was preexposed in a Different context (Group Different). Each time the superhero flew past the target cue his Hands Glowed (outcome). On test (E1), an image of the superhero flying in the context with normal Hands and the target cue was present. Participants were asked if anything was missing. Experiment 2 tested participants with the superhero present and his Hands Glowing to test outcome-cue associations (Test 1) or just the superhero in the context (Test 2, counterbalanced) to assess contextual associations. In E1 fewer people in Group Same reported the outcome missing than Group No Exposure or Group Different. In E2 fewer people in Group Same reported the target cue missing when presented with the outcome than in the other groups, a result inconsistent with interference accounts of LI. When presented only with contextual cues, reports of the stimulus missing showed that the context was associated with the stimuli presented within it. Results are discussed with respect to theories and demonstrations of human LI. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Impact of primary care triage using the Head and Neck Cancer Risk Calculator version 2 on tertiary head and neck services in the post-coronavirus disease 2019 period.

OBJECTIVE: This study investigates the impact of primary care utilisation of a symptom-based head and neck cancer risk calculator (Head and Neck Cancer Risk Calculator version 2) in the post-coronavirus disease 2019 period on the number of primary care referrals and cancer diagnoses. METHODS: The number of referrals from April 2019 to August 2019 and from April 2020 to July 2020 (pre-calculator) was compared with the number from the period January 2021 to August 2022 (post-calculator) using the chi-square test. The patients' characteristics, referral urgency, triage outcome, Head and Neck Cancer Risk Calculator version 2 score and cancer diagnosis were recorded. RESULTS: In total, 1110 referrals from the pre-calculator period were compared with 1559 from the post-calculator period. Patient characteristics were comparable for both cohorts. More patients were referred on the cancer pathway in the post-calculator cohort (pre-calculator patients 51.1 per cent vs post-calculator 64.0 per cent). The cancer diagnosis rate increased from 2.7 per cent in the pre-calculator cohort to 3.3 per cent in the post-calculator cohort. A lower rate of cancer diagnosis in the non-cancer pathway occurred in the cohort managed using the Head and Neck Cancer Risk Calculator version 2 (10 per cent vs 23 per cent, p = 0.10). CONCLUSION: Head and Neck Cancer Risk Calculator version 2 demonstrated high sensitivity in cancer diagnosis. Further studies are required to improve the predictive strength of the calculator.

The Influence of Arsenic Co-Exposure in a Model of Alcohol-Induced Neurodegeneration in C57BL/6J Mice.

Both excessive alcohol consumption and exposure to high levels of arsenic can lead to neurodegeneration, especially in the hippocampus. Co-exposure to arsenic and alcohol can occur because an individual with an Alcohol Use Disorder (AUD) is exposed to arsenic in their drinking water or food or because of arsenic found directly in alcoholic beverages. This study aims to determine if co-exposure to alcohol and arsenic leads to worse outcomes in neurodegeneration and associated mechanisms that could lead to cell death. To study this, mice were exposed to a 10-day gavage model of alcohol-induced neurodegeneration with varying doses of arsenic (0, 0.005, 2.5, or 10 mg/kg). The following were examined after the last dose of ethanol: (1) microglia activation assessed via immunohistochemical detection of Iba-1, (2) reactive oxygen and nitrogen species (ROS/RNS) using a colorimetric assay, (3) neurodegeneration using Fluoro-Jade® C staining (FJC), and 4) arsenic absorption using ICP-MS. After exposure, there was an additive effect of the highest dose of arsenic (10 mg/kg) in the dentate gyrus of alcohol-induced FJC+ cells. This additional cell loss may have been due to the observed increase in microglial reactivity or increased arsenic absorption following co-exposure to ethanol and arsenic. The data also showed that arsenic caused an increase in CYP2E1 expression and ROS/RNS production in the hippocampus which could have independently contributed to increased neurodegeneration. Altogether, these findings suggest a potential cyclical impact of co-exposure to arsenic and ethanol as ethanol increases arsenic absorption but arsenic also enhances alcohol's deleterious effects in the CNS.

Context dependency as a function of prediction error-based attention

Context dependence of information has been shown to be based, at least in part, on the attention contexts received at the time of training. Recent research suggests that attention to irrelevant contexts may be a byproduct of the activation of a general exploratory attentional mechanism prompted by high prediction errors associated with situations of uncertainty. Alternatively, low prediction errors may engage an attentional mechanism of exploitation in situations in which contexts play a relevant role. A selective review discusses the potential of this approach to explain context switch effects from an attentional perspective

Se ha demostrado que la dependencia contextual de la información depende esencialmente de la atención que reciben los contextos en el momento del entrenamiento. La investigación reciente sugiere que la atención a contextos irrelevantes podría ser un efecto secundario de la activación de el mecanismo exploratorio general de la atención promovido por errores de predicción altos asociados a situaciones de incertidumbre. Alternativamente, errores de predicción bajos podrían activar el mecanismo atencional de explotación en aquellas situaciones en las que el contexto juega un papel relevante dentro de la situación de aprendizaje. Se realiza una revisión selectiva en la que se discute el potencial de esta aproximación para explicar los efectos de cambio de contexto desde una perspectiva atencional

Differences in Hepatic Expression of Iron, Inflammation and Stress-Related Genes in Patients with Nonalcoholic Steatohepatitis

Abstract: Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease worldwide. We have previously shown that hepatic reticuloendothelial system (RES) iron deposition is associated with an advanced degree of nonalcoholic steatohepatitis (NASH) in humans. In this study, we aimed to determine differentially expressed genes related to iron overload, inflammation and oxidative stress pathways, with the goal of identifying factors associated with NASH progression. Seventy five patients with NAFLD were evaluated for their biochemical parameters and their liver tissue analyzed for NASH histological characteristics. Gene expression analysis of pathways related to iron homeostasis, inflammation and oxidative stress was performed using real-time PCR. Gene expression was compared between subjects based on disease status and presence of hepatic iron staining. We observed increased gene expression of hepcidin (HAMP) (2.3 fold, p = 0.027), transmembrane serine proteinase 6 (TMPRSS6) (8.4 fold, p = 0.003), signal transducer and activator of transcription 3 (STAT3) (5.5 fold, p = 0.004), proinflammatory cytokines; IL-1β (2.7 fold, p = 0.046) and TNF-α (3.8 fold, p = 0.001) in patients with NASH. TMPRSS6, a negative regulator of HAMP, is overexpressed in patients with NASH and HIF1α (hypoxia inducible factor-1) is downregulated. NAFLD patients with hepatic iron deposition exhibited higher hepcidin expression (3.1 fold, p = 0.04) but lower expression of cytokines. In conclusion, we observed elevated hepatic HAMP expression in patients with NASH and in NAFLD patients who had hepatic iron deposition, while proinflammatory cytokines displayed elevated expression only in patients with NASH, suggesting a regulatory role for hepcidin in NAFL to NASH transition and in mitigating inflammatory responses.

A robust function to return the cumulative density of non-central F distributions in Microsoft Office Excel / Una función robusta para calcular con Microsoft Office Excel la densidad acumulada de las distribuciones F no centrales

The manuscript presents a Visual Basic® for Applications function that operates within Microsoft Office Excel® to return the area below the curve for a given F within a specified non-central F distribution. The function will be of use to Excel users without programming experience wherever a noncentral F distribution is required, such as conducting power analyses for analysis of variance designs and constructing confidence intervals on effect sizes. Tests show the function to produce results comparable to those obtained with the commercial software SPSS and the popular free R environment for statistical computing. Spreadsheets for use in Excel and OpenOffice Calc® are included with example usages (AU)

Este manuscrito presenta una función de Visual Basic® para aplicaciones que opera en el entorno de Microsoft Office Excel® computando el área bajo la curva de un valor de F determinado dentro de una distribución F no central. Es una función útil para usuarios de Excel con o sin experiencia de programación en aquellas ocasiones en las que se requiere una distribución F no central, como cuando se realizan análisis de la potencia para diseños de análisis de varianza o cuando se necesita calcular los intervalos de confianza en el tamaño del efecto. Las pruebas realizadas con esta función encuentran resultados equivalentes a los obtenidos con el programa comercial SPSS y el popular entorno gratuito R para el cálculo estadístico. Se incluye una hoja de cálculo con ejemplos de uso (AU)

Retraction: The Origin of the N-Localizer for Stereotactic Neurosurgery.

[This retracts the article DOI: 10.7759/cureus.140.].

Retraction: The History and Mathematics of the N-Localizer for Stereotactic Neurosurgery.

[This retracts the article DOI: 10.7759/cureus.156.].