Obesity constitutes a global health epidemic which worsens the main leading death causes such as type 2 diabetes, cardiovascular diseases, and cancer. Changes in the metabolism in patients with obesity frequently lead to insulin resistance, along with hyperglycemia, dyslipidemia and low-grade inflammation, favoring a more aggressive tumor microenvironment. One of the hallmarks of cancer is the reprogramming of the energy metabolism, in which tumor cells change oxidative phosphorylation to aerobic glycolysis or "Warburg effect". Aerobic glycolysis is faster than oxidative phosphorylation, but less efficient in terms of ATP production. To obtain sufficient ATP, tumor cells increase glucose uptake by the glucose transporters of the GLUT/SLC2 family. The human glucose transporter GLUT12 was isolated from the breast cancer cell line MCF7. It is expressed in adipose tissue, skeletal muscle and small intestine, where insulin promotes its translocation to the plasma membrane. Moreover, GLUT12 over-expression in mice increases the whole-body insulin sensitivity. Thus, GLUT12 has been proposed as a second insulin-responsive glucose transporter. In obesity, GLUT12 is downregulated and does not respond to insulin. In contrast, GLUT12 is overexpressed in human solid tumors such as breast, prostate, gastric, liver and colon. High glucose concentration, insulin, and hypoxia upregulate GLUT12 both in adipocytes and tumor cells. Inhibition of GLUT12 mediated Warburg effect suppresses proliferation, migration, and invasion of cancer cells and xenografted tumors. This review summarizes the up-to-date information about GLUT12 physiological role and its implication in obesity and cancer, opening new perspectives to consider this transporter as a therapeutic target.

Standard dosing could fail to achieve adequate systemic concentrations in ICU children or may lead to toxicity in children with acute kidney injury. The population pharmacokinetic analysis was used to simultaneously analyze all available data (plasma, prefilter, postfilter, effluent, and urine concentrations) and provide the pharmacokinetic characteristics of meropenem. The probability of target fT > MIC attainment, avoiding toxic levels, during the entire dosing interval was estimated by simulation of different intermittent and continuous infusions in the studied population. A total of 16 critically ill children treated with meropenem were included, with 7 of them undergoing continuous kidney replacement therapy (CKRT). Only 33% of children without CKRT achieved 90% of the time when the free drug concentration exceeded the minimum inhibitory concentration (%fT > MIC) for an MIC of 2 mg/L. In dose simulations, only continuous infusions (60-120 mg/kg in a 24-h infusion) reached the objective in patients <30 kg. In patients undergoing CKRT, the currently used schedule (40 mg/kg/12 h from day 2 in a short infusion of 30 min) was clearly insufficient in patients <30 kg. Keeping the dose to 40 mg/kg q8h without applying renal adjustment and extended infusions (40 mg/kg in 3- or 4-h infusion every 12 h) was sufficient to reach 90% fT > MIC (>2 mg/L) in patients >10 kg. In patients <10 kg, only continuous infusions reached the objective. In patients >30 kg, 60 mg/kg in a 24-h infusion is sufficient and avoids toxicity. This population model could help with an individualized dosing approach that needs to be adopted in critically ill pediatric patients. Critically ill patients subjected to or not to CKRT may benefit from the administration of meropenem in an extended or continuous infusion.

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

Meta-analysis was conducted to examine standalone web-based personalised feedback interventions (PFI) delivered in non-structured settings for reducing university students' alcohol consumption. Subgroup analyses by gender-focus, type-of-content and accessibility were conducted. Characteristics of the sample, the intervention and study quality were examined as moderators. Ten databases were searched from 2000 to 2023. Eligible articles involved only randomised controlled trials. Random-effects meta-analysis was conducted to calculate the effect size on weekly alcohol consumption comparing web-PFIs and non-active controls. Meta-regressions were applied to explore effect moderators. Thirty-one studies were included in the narrative synthesis, 25 of which were meta-analysed. Results found significant effect size differences on weekly alcohol consumption in favour of the intervention group in the short- (SMD = 0.11, 95% confidence interval [CI] 0.06, 0.15) and long-term period (SMD = 0.09, 95% CI 0.02, 0.15). Subgroup analyses identified that interventions which were gender-specific, multicomponent and had unlimited access had higher and significant effect sizes, although they were very similar with respect to comparative groups. Moderator analyses showed that times feedback was accessed significantly contributed to the effectiveness of the intervention. Effects diminished over time, although they remained significant. The meta-analysis evidences the effectiveness of web-PFI for addressing university students' alcohol use, decreasing by 1.65 and 1.54 drinks consumed per week in the short- and long-term, respectively. The results offer empirical evidence that supports the significant, although small, effect of web-PFI delivered remotely in universities. Future research should focus on increasing their impact by introducing booster sessions and content components based on students' preferences.

Neuroinflammation and blood-cerebrospinal fluid barrier (BCB) disruption could be key elements in schizophrenia-spectrum disorderś(SSDs) etiology and symptom modulation. We present the largest two-stage individual patient data (IPD) meta-analysis, investigating the association of BCB disruption and cerebrospinal fluid (CSF) alterations with symptom severity in first-episode psychosis (FEP) and recent onset psychotic disorder (ROP) individuals, with a focus on sex-related differences. Data was collected from PubMed and EMBASE databases. FEP, ROP and high-risk syndromes for psychosis IPD were included if routine basic CSF-diagnostics were reported. Risk of bias of the included studies was evaluated. Random-effects meta-analyses and mixed-effects linear regression models were employed to assess the impact of BCB alterations on symptom severity. Published (6 studies) and unpublished IPD from n = 531 individuals was included in the analyses. CSF was altered in 38.8 % of individuals. No significant differences in symptom severity were found between individuals with and without CSF alterations (SMD = -0.17, 95 %CI −0.55–0.22, p = 0.341). However, males with elevated CSF/serum albumin ratios or any CSF alteration had significantly higher positive symptom scores than those without alterations (SMD = 0.34, 95 %CI 0.05–0.64, p = 0.037 and SMD = 0.29, 95 %CI 0.17–0.41p = 0.005, respectively). Mixed-effects and simple regression models showed no association (p > 0.1) between CSF parameters and symptomatic outcomes. No interaction between sex and CSF parameters was found (p > 0.1). BCB disruption appears highly prevalent in early psychosis and could be involved in positive symptomś severity in males, indicating potential difficult-to-treat states. This work highlights the need for considering BCB breakdownand sex-related differences in SSDs clinical trials and treatment strategies.

Accurate assessment of cerebral perfusion is vital for understanding the hemodynamic processes involved in various neurological disorders and guiding clinical decision-making. This guidelines article provides a comprehensive overview of quantitative perfusion imaging of the brain using multi-timepoint arterial spin labeling (ASL), along with recommendations for its acquisition and quantification. A major benefit of acquiring ASL data with multiple label durations and/or post-labeling delays (PLDs) is being able to account for the effect of variable arterial transit time (ATT) on quantitative perfusion values and additionally visualize the spatial pattern of ATT itself, providing valuable clinical insights. Although multi-timepoint data can be acquired in the same scan time as single-PLD data with comparable perfusion measurement precision, its acquisition and postprocessing presents challenges beyond single-PLD ASL, impeding widespread adoption. Building upon the 2015 ASL consensus article, this work highlights the protocol distinctions specific to multi-timepoint ASL and provides robust recommendations for acquiring high-quality data. Additionally, we propose an extended quantification model based on the 2015 consensus model and discuss relevant postprocessing options to enhance the analysis of multi-timepoint ASL data. Furthermore, we review the potential clinical applications where multi-timepoint ASL is expected to offer significant benefits. This article is part of a series published by the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion Study Group, aiming to guide and inspire the advancement and utilization of ASL beyond the scope of the 2015 consensus article.

This study outlines a protocol aimed at identifying and mapping health promotion practices in need of development from the perspectives of key sectors responsible for it at the local level and from an intersectoral perspective across four Spanish regions. A complementary multi-method study combining survey methods and qualitative interviews will be adopted. Purposive snowball sampling will be employed to select potentially rich informants from city councils, primary care centres, primary and secondary schools, and public health and civil society organizations in 12 municipalities sensitive to local health. Data on the degree of execution of health promotion activities, the level of intersectorality in their implementation, and their origins will be collected using PromoACTIVA questionnaires, an intersectoral typology model and an interview protocol. A parallel mixed analysis encompassing descriptive statistics and a 'framework analysis' will be performed. This study is expected to yield thorough and reliable insights into health promotion practices and omissions at the local level by focusing on key stakeholders, both individually and collaboratively. This information can enhance health promotion planning and improve its effectiveness, efficiency and contextual relevance. The development and testing of a methodology for the integration and interpretation of these data will ensure sustainable capacity building. Managers and practitioners interested in health promotion planning in the researched settings can benefit from a comprehensive map of the current state of their practices and insights into the starting points of collaboration. In addition, planners from other local settings will gain access to tools and methodologies to replicate and expand these maps to their own contexts. Engaging key stakeholders with experience working in or with primary care centres, public health organizations, primary and secondary schools, civil society organizations, and city councils was vital to ensure the study's relevance and feasibility.

Despite technological advances in the proteomics field, sample preparation still represents the main bottleneck in mass spectrometry (MS) analysis. Bead-based protein aggregation techniques have recently emerged as an efficient, reproducible, and high-throughput alternative for protein extraction and digestion. Here, a refined paramagnetic bead–based digestion protocol is described for Opentrons® OT-2 platform (OT-2) as a versatile, reproducible, and affordable alternative for the automatic sample preparation for MS analysis. For this purpose, an artificial neural network (ANN) was applied to maximize the number of peptides without missed cleavages identified in HeLa extract by combining factors such as the quantity (μg) of trypsin/Lys-C and beads (MagReSyn® Amine), % (w/v) SDS, % (v/v) acetonitrile, and time of digestion (h). ANN model predicted the optimal conditions for the digestion of 50 μg of HeLa extract, pointing to the use of 2.5% (w/v) SDS and 300 μg of beads for sample preparation and long-term digestion (16h) with 0.15 μg Lys-C and 2.5 μg trypsin (≈1:17 ratio). Based on the results of the ANN model, the manual protocol was automated in OT-2. The performance of the automatic protocol was evaluated with different sample types, including human plasma, Arabidopsis thaliana leaves, Escherichia coli cells, and mouse tissue cortex, showing great reproducibility and low sample-to-sample variability in all cases. In addition, we tested the performance of this method in the preparation of a challenging biological fluid such as rat bile, a proximal fluid that is rich in bile salts, bilirubin, cholesterol, and fatty acids, among other MS interferents. Compared to other protocols described in the literature for the extraction and digestion of bile proteins, the method described here allowed identify 385 unique proteins, thus contributing to improving the coverage of the bile proteome.

BackgroundThe impact of various lifestyles on psychological well-being (PWB) remains under-studied. We aimed to explore the cross-sectional association between daily screen use (television, tablet and mobile phone) and PWB within the SUN cohort. MethodsPWB was assessed using the 29-item Ryff scale (ranging from 29 to 174), and participants with scores >75th percentile were considered as having optimal PWB. Participants were categorized based on their self-reported weekly screen usage hours. Postestimation logistic regression models assessing the prevalence likelihood of not achieving optimal PWB were adjusted for sociodemographic, psychological, personality and lifestyles factors. Isotemporal substitution models explored the potential impact on PWB resulting from replacing 1 h/day of screen time with 1 h/day of exercise. ResultsThe study included 3051 participants (55.8% women, mean age 57.3 ± 11.1 years, mean Ryff's score: 139.1 ± 17.4 points). Daily screen use for ≥2 h was associated with a higher prevalence likelihood of not achieving an optimal PWB (Prevalence Ratio [PR]:1.09; 95% CI:1.01–1.18). Among PWB dimensions, screen use ≥2 h/day was linked to an increased likelihood of not achieving optimal scores in environmental mastery (PR:1.11; 95% CI:1.02–1.20), life purpose (PR:1.10; 95% CI:1.02–1.18), and personal growth (PR:1.09; 95% CI:1.01–1.18). Replacing 1 h of daily screens time with 1 h of exercise may lead to potential improvements in environmental mastery (Odds Ratio [OR]:0.87; 95% CI:0.76–0.99), purpose in life (OR:0.86; 95% CI: 0.76–0.98), personal growth (OR:0.84; 95% CI:0.73–0.96) and positive interpersonal relationships (OR:0.86; 95% CI:0.75–0.99). ConclusionsThese findings highlight the importance of reducing screen use activities and increasing physical exercise for achieving optimal PWB.