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Circulating extracellular vesicles (EVs) can participate in innate repair processes triggered after intracerebral hemorrhage (ICH). We aimed to describe changes in the proteomic profile of circulating EVs between the acute and subacute phases of ICH and to compare the findings depending on outcomes, as an approach to unraveling such repair mechanisms.This was a prospective observational study including patients with non-traumatic supratentorial ICH. Exclusion criteria were previous disability, signs of herniation on baseline computed tomography, or limited life expectancy. EVs were isolated from blood samples at 24 h and 7 days after symptom onset. After 6-months' follow-up, patients were dichotomized into poor and good outcomes, defining good as an improvement of >10 points or > 50 % on the National Institutes of Health Stroke Scale and a modified Rankin Scale of 0–2. The protein cargo was analyzed by quantitative mass spectrometry and compared according to outcomes.Forty-four patients completed follow-up, 16 (35.5 %) having good outcomes. We identified 1321 proteins in EVs, 37 with differential abundance. In patients with good outcomes, proteins related to stress response (DERA, VNN2, TOMM34) and angiogenesis (RHG01) had increased abundance at 7 days. EVs from patients with poor outcomes showed higher levels of acute-phase reactants (CRP, SAA2) at 7 days compared with 24 h.In conclusion, the protein content of circulating EVs in patients with ICH changes over time, the changes varying depending on the clinical outcome, with greater abundance of proteins potentially involved in the repair processes of patients with good outcomes.

The aim of this research is to assess the existence or absence of differences in brand perceptions of users of an esports mobile app according to gender. In addition, it intends to discover the explanatory capacity of brand variables for the prediction of user loyalty, to understand how these variables influence perceptions according to gender, and to contribute to the creation of strategies more aligned with the interests and needs of each target audience.

Here, we present the mitochondrial sequences of two sea slugs (Heterobranchia): Runcina aurata and Facelina auriculata, the latter being the type species of the family. The mitochondrial genomes are 14,282 and 14,171bp in length, respectively, with a complete set of 13 PCGs, 2 rRNAs, and 22 tRNAs. None of the mitogenomes show gene reorganization, keeping the standard mitogenomic structure of Heterobranchia. Nucleotide composition differs significantly between them, with R. aurata showing the most AT-rich mitogenome (25.7% GC content) reported to date in Heterobranchia, and F. auriculata showing a rich GC content (35%) compared with other heterobranch mitochondrial genomes.

Abstract Background Recursive models are a category of structural equation models that propose a causal relationship between traits. These models are more parameterized than multiple trait models, and they require imposing restrictions on the parameter space to ensure statistical identification. Nevertheless, in certain situations, the likelihood of recursive models and multiple trait models are equivalent. Consequently, the estimates of variance components derived from the multiple trait mixed model can be converted into estimates under several recursive models through LDL′ or block-LDL′ transformations. Results The procedure was employed on a dataset comprising five traits (birth weight—BW, weight at 90 days—W90, weight at 210 days—W210, cold carcass weight—CCW and conformation—CON) from the Pirenaica beef cattle breed. These phenotypic records were unequally distributed among 149,029 individuals and had a high percentage of missing data. The pedigree used consisted of 343,753 individuals. A Bayesian approach involving a multiple-trait mixed model was applied using a Gibbs sampler. The variance components obtained at each iteration of the Gibbs sampler were subsequently used to estimate the variance components within three distinct recursive models. Conclusions The LDL′ or block-LDL′ transformations applied to the variance component estimates achieved from a multiple trait mixed model enabled inference across multiple sets of recursive models, with the sole prerequisite of being likelihood equivalent. Furthermore, the aforementioned transformations simplify the handling of missing data when conducting inference within the realm of recursive models.

Abstract This study investigated the effect of the inclusion of extruded linseed and hazelnut skin on fatty acid (FA) metabolism in finishing lambs. Forty lambs were divided into 4 groups and fed for 60 d with: a conventional cereal-based diet, or the same diet with 8% of extruded linseed, or 15% of hazelnut skin, or 4% of linseed plus 7.5% of hazelnut skin as partial replacement of maize. Dietary treatments did not affect growth performances, carcass traits, and ruminal fermentation. The combined effect of linseed and hazelnut skin enriched the intramuscular fat with health promoting FA. Particularly, increases in α-linolenic acid (3.75-fold), and very long-chain n-3 poly-unsaturated FA (+ 40%) were attributed to the supplementation with linseed, rich in α-linolenic acid. In addition, increases in rumenic (+ 33%), and vaccenic (+ 59%) acids were attributed to hazelnut skin tannins modulating ruminal biohydrogenation and accumulating intermediate metabolites. The simultaneous inclusion of linseed and hazelnut skin can be a profitable strategy for enriching the intramuscular fat of lambs with health promoting FA, without adverse effects on ruminal fermentation and animal performance.

Abstract Glial cells are key players in the initiation of innate immunity in neurodegeneration. Upon damage, they switch their basal activation state and acquire new functions in a context and time-dependent manner. Since modulation of neuroinflammation is becoming an interesting approach for the treatment of neurodegenerative diseases, it is crucial to understand the specific contribution of these cells to the inflammatory reaction and to select experimental models that recapitulate what occurs in the human disease. Previously, we have characterized a region-specific activation pattern of CD11b+ cells and astrocytes in the α-synuclein overexpression mouse model of Parkinson´s disease (PD). In this study we hypothesized that the time and the intensity of dopaminergic neuronal death would promote different glial activation states. Dopaminergic degeneration was induced with two administration regimens of the neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP), subacute (sMPTP) and chronic (cMPTP). Our results show that in the sMPTP mouse model, the pro-inflammatory phenotype of striatal CD11b+ cells was counteracted by an anti-inflammatory astrocytic profile. In the midbrain the roles were inverted, CD11b+ cells exhibited an anti-inflammatory profile and astrocytes were pro-inflammatory. The overall response generated resulted in decreased CD4 T cell infiltration in both regions. Chronic MPTP exposure resulted in a mild and prolonged neuronal degeneration that generated a pro-inflammatory response and increased CD4 T cell infiltration in both regions. At the onset of the neurodegenerative process, microglia and astrocytes cooperated in the removal of dopaminergic terminals. With time, only microglia maintained the phagocytic activity. In the ventral midbrain, astrocytes were the main phagocytic mediators at early stages of degeneration while microglia were the major phagocytic cells in the chronic state. In this scenario, we questioned which activation pattern recapitulates better the features of glial activation in PD. Glial activation in the cMPTP mouse model reflects many pathways of their corresponding counterparts in the human brain with advanced PD. Altogether, our results point toward a context-dependent cooperativity of microglia/myeloid cells and astrocytes in response to neuronal damage and the relevance of selecting the right experimental models for the study of neuroinflammation. Graphical abstract

Background Unknown cardioembolic sources are frequent causes of cryptogenic stroke. We analyzed the risk of atrial fibrillation (AF) or high burden of ectopic atrial activity (HBEA) in patients with cryptogenic stroke, assessing atrial function and 1‐year outcomes. Methods and Results The ARIES (Atrial Imaging and Cardiac Rhythm in Cryptogenic Embolic Stroke) study is an observational study including patients with cryptogenic stroke. We analyzed the frequency of AF and HBEA (>3000 atrial ectopic beats/day or >2 bursts or atrial tachycardia between 3 beats and ≤30 seconds) in two 30‐day Holter‐ECGs, comparing advanced echocardiography signs of left atrial (LA) dysfunction according to rhythm: AF, HBEA, and normal sinus rhythm. We also evaluated 1‐year stroke recurrence and mortality. The study included 109 patients; 35 (32.1%) patients had AF, 27 (24.8%) HBEA, and 47 (43.1%) normal sinus rhythm. Compared with those with normal sinus rhythm, patients with AF presented higher 2‐dimensional and 3‐dimensional LA indexed volumes (38.8±11.2 versus 27.3±11.8 mL/m2, and 50.6±17.2 versus 34.0±15.4 mL/m2, respectively, P

Introduction Poststroke hyperglycaemia is an independent risk factor for poorer outcomes in patients treated with mechanical thrombectomy (MT) and is associated with a lower probability of functional recovery and higher mortality at 3 months. This study aims to evaluate the association between glucose levels during cerebral reperfusion with MT and functional recovery at 3 months, measured by subcutaneous continuous glucose monitoring (CGM) devices.Methods This prospective observational study aims to recruit 100 patients with ischaemic stroke and large anterior circulation vessel occlusion, in whom MT is indicated. CGM will be performed using a Freestyle Libre ProIQ device (FSL-CGM, Abbott Diabetes Care, Alameda, California, USA), which will be implanted on admission to the emergency department, to monitor glucose levels before, during and after reperfusion. The study’s primary endpoint will be the functional status at 3 months, as measured by the dichotomised modified Rankin Scale (0–2 indicating good recovery and 3–6 indicating dependency or death). We will analyse expression profiles of microRNA (miRNA) at the time of reperfusion and 24 hours later, as potential biomarkers of ischaemic-reperfusion injury. The most promising miRNAs include miR-100, miR-29b, miR-339, miR-15a and miR-424. All patients will undergo treatment according to current international recommendations and local protocols for the treatment of stroke, including intravenous thrombolysis if indicated.Ethics and dissemination This study (protocol V.1.1, dated 29 October 2021, code 6017) has been approved by the Clinical Research Ethics Committee of La Paz University Hospital (Madrid, Spain) and has been registered in ClinicalTrials.gov (NCT 05871502). Study results will be disseminated through peer-reviewed publications in Open Access format and at conference presentations.Trial registration number NCT05871502.

In recent years, rising prices for high-quality protein-based feeds have significantly increased nutrition costs. Consequently, investigating strategies to reduce these expenses and improve feed efficiency (FE) have become increasingly important for the dairy sheep industry. This research investigates the impact of nutritional protein restriction (NPR) during prepuberty and FE on the milk transcriptome of dairy Assaf ewes (sampled during the first lactation). To this end, we first compared transcriptomic differences between NPR and control ewes. Subsequently, we evaluated gene expression differences between ewes with divergent FE, using feed conversion ratio (FCR), residual feed intake (RFI), and consensus classifications of high− and low-FE animals for both indices. Lastly, we assess milk gene expression as a predictor of FE phenotype using random forest. No effect was found for the prepubertal NPR on milk performance or FE. Moreover, at the milk transcriptome level, only one gene, HBB, was differentially expressed between the NPR (n = 14) and the control group (n = 14). Further, the transcriptomic analysis between divergent FE sheep revealed 114 differentially expressed genes (DEGs) for RFI index (high-FERFI = 10 vs low-FERFI = 10), 244 for FCR (high-FEFCR = 10 vs low-FEFCR = 10), and 1 016 DEGs between divergent consensus ewes for both indices (high-FEconsensus = 8 vs low-FEconsensus = 8). These results underscore the critical role of selected FE indices for RNA-Seq analyses, revealing that consensus divergent animals for both indices maximise differences in transcriptomic responses. Genes overexpressed in high-FEconsensus ewes were associated with milk production and mammary gland development, while low-FEconsensus genes were linked to higher metabolic expenditure for tissue organisation and repair. The best prediction accuracy for FE phenotype using random forest was obtained for a set of 44 genes consistently differentially expressed across lactations, with Spearman correlations of 0.37 and 0.22 for FCR and RFI, respectively. These findings provide insights into potential sustainability strategies for dairy sheep, highlighting the utility of transcriptomic markers as FE proxies.

Background Adoptive cell therapy using genetically modified T cells to express chimeric antigen receptors (CAR-T) has shown encouraging results, particularly in certain blood cancers. Nevertheless, over 40% of B cell malignancy patients experience a relapse after CAR-T therapy, likely due to inadequate persistence of the modified T cells in the body. IL15, known for its pro-survival and proliferative properties, has been suggested for incorporation into the fourth generation of CAR-T cells to enhance their persistence. However, the potential systemic toxicity associated with this cytokine warrants further evaluation.Methods We analyzed the persistence, antitumor efficacy and potential toxicity of anti-mouse CD19 CAR-T cells which express a membrane-bound IL15-IL15Rα chimeric protein (CD19/mbIL15q CAR-T), in BALB/c mice challenged with A20 tumor cells as well as in NSG mice.Results Conventional CD19 CAR-T cells showed low persistence and poor efficacy in BALB/c mice treated with mild lymphodepletion regimens (total body irradiation (TBI) of 1 Gy). CD19/mbIL15q CAR-T exhibits prolonged persistence and enhanced in vivo efficacy, effectively eliminating established A20 B cell lymphoma. However, this CD19/mbIL15q CAR-T displays important long-term toxicities, with marked splenomegaly, weight loss, transaminase elevations, and significant inflammatory findings in some tissues. Mice survival is highly compromised after CD19/mbIL15q CAR-T cell transfer, particularly if a high TBI regimen is applied before CAR-T cell transfer.Conclusion Tethered IL15-IL15Rα augments the antitumor activity of CD19 CAR-T cells but displays long-term toxicity in immunocompetent mice. Inducible systems to regulate IL15-IL15Rα expression could be considered to control this toxicity.

In beef cattle, dams play a crucial role in shaping the pre- and postnatal environment for the growth of their offspring. Acknowledging the substantial impact of maternal influence on the early development of calves, researchers utilize maternal animal models. These models take into account both maternal genetic and permanent environmental effects, operating under the assumption that these influences remain constant throughout the productive life of the cow. Nevertheless, it cannot be ruled out that these genetic and environmental effects may evolve throughout the lifespan of the cows. Therefore, this study aims to describe the changes in genetic and environmental maternal effects over the productive lifespan of cows. To accomplish this goal, we utilized random regression models, incorporating the age of the dam effect, maternal genetic effects, and environmental permanent effects using Legendre orthogonal polynomials. Additionally, the analytical model incorporated a covariate to adjust for the calf’s age at recording, a two-level sex effect, a random herd-year-season effect, and an additive direct genetic effect associated linked to the calf. The dataset comprised information from dams aged between 2 and 16 years, resulting in a final database that comprised weight records of 58 332 calves from 21 673 dams. The average weight at 90 days was 135.0 ± 39.3 kg, and the mean age of the dam at calving was 7.03 ± 3.41 years. We evaluated models incorporating 2, 3, 4, 5, and 6 orthogonal polynomials alongside the standard maternal animal model. Afterward, we selected the model with five orthogonal polynomials based on the Akaike Information Criteria. The Restricted Maximum Likelihood estimates within this model indicated a direct heritability of around 0.50, and a maternal heritability ranging between 0.15 and 0.25, exhibiting a consistent increase between 4, 5 to 13 years. The genetic correlation estimates between direct and maternal genetic effects remained stable at approximately −0.55 across the lifespan of the cows. Furthermore, maternal genetic correlations between different ages of the dam decreased to around 0.7 for more distant age points. The maternal permanent correlations were notably lower, occasionally even reaching negative values, suggesting variability in environmental influence on maternal effects over the productive lifespan of the cow. Finally, the model enables the prediction of breeding values for the maternal genetic effects of the cow across its lifespan, providing opportunities for innovative selection strategies on the maternal side.

The aim of this study is to determine the perceptions of university students toward teaching-learning processes during the COVID-19 pandemic. This research gathers inquiries made worldwide on the perceptions of students in higher education during a state of alarm. The proposed objectives were (a) to analyse the perception of students toward teaching-learning processes in university; (b) to determine the assessment given by students about the changes that took place in university teaching as a result of COVID-19; and (c) to explore resources (hardware and software), professional collaboration, digital pedagogy and student empowerment (motivation) regarding digital education and recent changes in university teaching due to the pandemic. This study used a non-experimental, descriptive design based on opinion polls or surveys. The results show a positive correlation between digital pedagogy, student motivation and digital environments. As a conclusion, we encourage the scientific community to continue delving into the motivation, collaboration and reflective exchange of experiences, self-learning and promotion of initiatives that foster the development of competencies in future teachers. It is also important to continue the research on integrated designs in training processes in university, tutoring and continuous evaluation, as they are key for digital transformation in universities.

The progressive integration of mobile technology in the classroom is generating new scenarios to innovate teaching methods. The aim of this study was to analyse the perceptions of university students toward the use of Socrative and its implications in gamified learning situations. This is a descriptive-survey investigation, complemented with content analysis techniques. The data were collected using a questionnaire designed ad hoc by Quiroga-Estévez et al. and structured interviews. The sample consisted of undergraduate students (n=472) of the degree of Primary Education from the Faculty of Education Sciences of a Spanish university. The results show significant changes in the learning process of the students, in social relations and in the teaching methodology.

The development of professional practices during the university stage is a fundamental factor for quality skills development. For many students, it is the first real experience in a professional context, so continuous monitoring by teachers is necessary. This article presents an innovative proposal to develop the follow-up of the professional practices of the degree in Primary Education, and two Masters' in Psychopedagogy and Special Educational Needs using a learning management system (LMS) (Blackboard). The experience was developed by a team of teachers from the departments of Didactics and Educational Organization and Research Methods and Educational Diagnosis of the University of Seville (Spain). The aspects to be studied are the development of communication, reflection, and collaborative learning processes during the internship period. After an explicit agreement, 24 students (10 from the course "Professional Practices I" in undergraduate students; and the others from the Master's) committed to periodically using the blog designed ad hoc for this experience. A content analysis of the speeches posted on the blog was carried out, examining the changes, the advantages, and the disadvantages that this model entailed. It allowed observing similarities and differences between both groups of students. As the main conclusion, there were some differences between the two groups of students, regarding the number, type, and contents of interventions; there were no differences in the assessment of the methodology, all the students thought that it was a very positive assessment of the experience for generating information exchange networks among colleagues and teachers. Finally, the relevance of constant monitoring of the academic tutor was highlighted.

Abstract Introduction Teriflunomide is a once-daily oral immunomodulator approved for relapsing forms of multiple sclerosis (MS) or relapsing–remitting multiple sclerosis (RRMS; depending on the local label), based on extensive evidence from clinical trials and a real-world setting on efficacy, tolerability and patient-reported benefits. The TERICARE study assessed the impact of teriflunomide treatment over 2 years on health-related quality of life (HRQoL) and some of the most common and disabling symptoms of MS, such as fatigue and depression. Methods This prospective observational study in Spain included RRMS patients treated with teriflunomide for ≤ 4 weeks. The following patient-reported outcomes (PROs) were collected at baseline and every 6 months for 2 years: the 29-item Multiple Sclerosis Impact Scale version 2 (MSIS-29), the 21-item Modified Fatigue Impact Scale (MFIS-21), the Beck Depression Inventory (BDI-II), the Short Form (SF)-Qualiveen and the Treatment Satisfaction Questionnaire for Medication v1.4 (TSQM). Annualised relapse rate (ARR), disability progression according to the Expanded Disability Status Scale (EDSS), and no evidence of disease activity (NEDA-3) were also assessed. Results A total of 325 patients were analysed. Patients had a mean (SD) age of 43.2 years (10.4), a mean baseline EDSS score of 1.75 (1.5), a mean number of relapses in the past 2 years of 1.5 (0.7), and 64% had received prior disease-modifying therapy (DMT). Patients showed significant improvements in the psychological domain of MSIS-29 from 35.9 (26.6) at baseline to 29.4 (25.5) at 18 months (p = 0.004) and 29.0 (24.6) at 24 months (p = 0.002). Levels of fatigue and depression were also reduced. After 2 years of treatment with teriflunomide, ARR was reduced to 0.17 (95% CI 0.14–0.21) from the baseline of 0.42 (95% CI 0.38–0.48), representing a 60.1% reduction. Mean EDSS scores remained stable during the study, and 79.9% of patients showed no disability progression. 54.7% of patients achieved NEDA-3 in the first 12 months, which increased to 61.4% during months 12–24. Patients reported increased satisfaction with treatment over the course of the study, regardless of whether they were DMT naive or not. Conclusion Teriflunomide improves psychological aspects of HRQoL and maintains low levels of fatigue and depression. Treatment with teriflunomide over 2 years is effective in reducing ARR and disability progression.

Abstract Artificial Neural Networks (ANNs) have been used in a multitude of real-world applications given their predictive capabilities, and algorithms based on gradient descent, such as Backpropagation (BP) and variants, are usually considered for their optimisation. However, these algorithms have been shown to get stuck at local optima, and they require a cautious design of the architecture of the model. This paper proposes a novel memetic training method for simultaneously learning the ANNs structure and weights based on the Coral Reef Optimisation algorithms (CROs), a global-search metaheuristic based on corals’ biology and coral reef formation. Three versions based on the original CRO combined with a Local Search procedure are developed: (1) the basic one, called Memetic CRO; (2) a statistically guided version called Memetic SCRO (M-SCRO) that adjusts the algorithm parameters based on the population fitness; (3) and, finally, an improved Dynamic Statistically-driven version called Memetic Dynamic SCRO (M-DSCRO). M-DSCRO is designed with the idea of improving the M-SCRO version in the evolutionary process, evaluating whether the fitness distribution of the population of ANNs is normal to automatically decide the statistic to be used for assigning the algorithm parameters. Furthermore, all algorithms are adapted to the design of ANNs by means of the most suitable operators. The performance of the different algorithms is evaluated with 40 classification datasets, showing that the proposed M-DSCRO algorithm outperforms the other two versions on most of the datasets. In the final analysis, M-DSCRO is compared against four state-of-the-art methods, demonstrating its superior efficacy in terms of overall accuracy and minority class performance.

The initial excitement generated more than two decades ago by the discovery of drugs targeting fatty acid synthase (FASN)‐catalyzed de novo lipogenesis for cancer therapy was short‐lived. However, the advent of the first clinical‐grade FASN inhibitor (TVB‐2640; denifanstat), which is currently being studied in various phase II trials, and the exciting advances in understanding the FASN signalome are fueling a renewed interest in FASN‐targeted strategies for the treatment and prevention of cancer. Here, we provide a detailed overview of how FASN can drive phenotypic plasticity and cell fate decisions, mitochondrial regulation of cell death, immune escape and organ‐specific metastatic potential. We then present a variety of FASN‐targeted therapeutic approaches that address the major challenges facing FASN therapy. These include limitations of current FASN inhibitors and the lack of precision tools to maximize the therapeutic potential of FASN inhibitors in the clinic. Rethinking the role of FASN as a signal transducer in cancer pathogenesis may provide molecularly driven strategies to optimize FASN as a long‐awaited target for cancer therapeutics.

Abstract Huntington’s disease (HD) is caused by an aberrant expansion of CAG repeats in the HTT gene that mainly affects basal ganglia. Although striatal dysfunction has been widely studied in HD mouse models, other brain areas can also be relevant to the pathology. In this sense, we have special interest on the retina as this is the most exposed part of the central nervous system that enable health monitoring of patients using noninvasive techniques. To establish the retina as an appropriate tissue for HD studies, we need to correlate the retinal alterations with those in the inner brain, i.e., striatum. We confirmed the malfunction of the transgenic R6/1 retinas, which underwent a rearrangement of their transcriptome as extensive as in the striatum. Although tissue-enriched genes were downregulated in both areas, a neuroinflammation signature was only clearly induced in the R6/1 retina in which the observed glial activation was reminiscent of the situation in HD patient’s brains. The retinal neuroinflammation was confirmed in the slow progressive knock-in zQ175 strain. Overall, these results demonstrated the suitability of the mouse retina as a research model for HD and its associated glial activation.

Este artículo tiene dos objetivos. El principal es mostrar la concepción de la historiografía como teoría crítica en la obra de Dominick LaCapra. El secundario es exponer las consecuencias impolíticas de la teoría crítica contemporánea que subestima la atención a la historia. Con tal fin, enmarco la historia intelectual de LaCapra en el contexto de la renovación de la metodología historiográfica y muestro la relevancia del estudio del trauma en su concepción del conocimiento histórico. Posteriormente, muestro que la clave que convierte su concepto de historia en una teoría crítica es la idea de que la historia debe contribuir a elaborar el trauma y capacitar para la acción, así como la relación entre esta idea y el vínculo entre experiencia e identidad política. Después expongo la crítica de LaCapra a una corriente contemporánea de teoría crítica que renuncia a la elaboración del trauma. Por último, propongo tres categorías para identificar y analizar dicha corriente: diferencia histórica, viraje ético e impoliticidad.

Introduction: Patient satisfaction with septoturbinoplasty was measured using the subjective visual analogue scale (VAS) and Nasal Obstruction Symptom Evaluation (NOSE) scale. In addition, those factors that impacted satisfaction were confirmed. Materials and Methods: We conducted an observational study of patients who underwent septoturbinoplasty. Age, sex, smoking habit, duration of improvement, postoperative complications, type of packing and surgeon were analysed. The results were compared using the VAS and NOSE scale.Results: The improvement experienced with surgery corresponded to 69.80±26.97 points on the VAS 42.65±22.9 points (p