Search Results (186)

The combined use of serum and CSF biomarkers for prognostic stratification in multiple sclerosis (MS) remains underexplored. This multicenter observational study investigated associations between serum neurofilament light chain (sNfL), glial fibrillary acidic protein (sGFAP), and CSF lipid-specific IgM oligoclonal bands (LS-OCMB) with different forms of disability worsening, such as relapse-associated worsening (RAW), active progression independent of relapse activity (aPIRA), and non-active PIRA (naPIRA). A total of 535 patients with MS were included, all sampled within one year of disease onset. Biomarkers were quantified using single-molecule array and immunoblotting techniques, and CSF cell subsets were analyzed by flow cytometry. High sNfL z-scores and LS-OCMB positivity were independently associated with increased risk of RAW and aPIRA, collectively termed inflammatory-associated worsening (IAW), while elevated sGFAP levels predicted naPIRA. Patients with both high sNfL and LS-OCMB positivity had the highest risk of IAW. Among LS-OCMB–positive patients, higher regulatory T cell percentages were associated with lower sNfL levels, suggesting a protective role. Conversely, in LS-OCMB–negative patients, sNfL levels correlated with CSF C3 concentrations. These findings support the complementary role of sNfL, sGFAP, and LS-OCMB in identifying distinct mechanisms of disease worsening and may inform early personalized management strategies in MS. Full article

Obesity represents a serious and growing disease worldwide. The pathophysiological changes secondary to chronic inflammation lead to the development of diseases that increase the morbidity and mortality of individuals. Chronic kidney disease (CKD) is a condition with deleterious effects that acts bidirectionally with obesity. From approximately 20% to 30% of individuals share phenotypes of CKD and obesity, increasing their cardiovascular risk and the risk of other complications. Obesity and CKD form a vicious cycle in which inflammation is the central axis of multiorgan damage. Despite increasing the risk of cardiac and renal mortality, CKD progresses in relation to body mass index and albuminuria. Nowadays, the implementation of the new medications aimed at mitigating the peak of inflammation is becoming a cornerstone of treatments for obesity, diabetes, cardiovascular diseases, and renal disease. Full article

The Metropolitan Area of Queretaro (MAQ) is a significant industrial hub in central Mexico whose air quality, including high concentrations of particulate matter (PM), poses a risk to the population. However, there have not been many studies on the sources and processes that influence the concentration of atmospheric pollutants. We used aerosol chemical composition and meteorological data from 1 January to 15 May 2022, along with back-trajectory modeling, to investigate emission sources not previously described in the region and the impact of local and regional meteorology on the chemical composition of aerosols. Furthermore, this study presents the first quantitative analysis of nitroaromatic compounds (NACs) in particulate matter in the MAQ using ultra-performance liquid chromatography coupled with high-resolution mass spectrometry. The NAC concentrations ranged from 0.086 to 3.618 ng m⁻³, with the highest concentrations occurring during a period of atmospheric stability. The secondary inorganic and organic fractions of the PM were the most abundant (50%) of the PM concentration throughout the campaign. Local and regional meteorology played a significant role in the variability of PM chemical composition, as it influenced oxidation and transport processes. The results reveal that emissions from biomass burning are a recurrent PM source, and regional emissions significantly impact the organic fraction of the PM. These results underscore the importance of considering both local and regional sources in assessing air pollution in the region. Full article

Background: Invasive aspergillosis (IA) is a severe fungal infection increasingly affecting elderly patients with chronic respiratory diseases and prolonged corticosteroid use. Methods: We evaluated clinical, biochemical, and fungal biomarkers in 45 patients over 80 years diagnosed with IA and hospitalized in a Spanish Acute Geriatric Unit. Patients received either voriconazole or isavuconazole. Mortality rates and associated risk factors were analyzed. Results: Overall mortality was 35.61%. Significant mortality risk factors included leukocytosis (p = 0.0371), neutrophilia (p = 0.0144), and lymphopenia (p = 0.0274). Deceased patients had longer hospital stays (26.6 vs. 16.8 days; p = 0.00353). Voriconazole treatment was associated with higher 30-day mortality (61.5% vs. 19.2%; p = 0.0001) and a higher incidence of adverse effects (60% vs. 5%; p = 0.0003) compared to isavuconazole. Voriconazole also showed greater pharmacokinetic variability, with 76.9% of cases outside the therapeutic range. Conclusions: Voriconazole may not be optimal for IA treatment in patients over 80 years. Isavuconazole demonstrated a more favorable safety and efficacy profile. Personalized therapeutic strategies and a multidisciplinary approach are essential to improve clinical outcomes and quality of life in this vulnerable population. Full article

This study investigates the use of hop cone residues as a sustainable alternative to peat in seed coating formulations for the delivery of biocontrol agents such as Trichoderma. Some native isolates, T. velutinum T029 and T. harzianum T019 and T059, were tested for their development on peat and hop residues using qPCR. The results showed significantly higher fungal growth in hop cones, indicating their value as a carbon-rich substrate. Seed germination tests on various species showed that hop-based coatings did not inhibit germination and in some cases improved it. Field trials confirmed that bean seeds coated with hops 24 h before sowing outperformed those coated with peat, particularly in integrated production systems, in terms of germination. The results of this study suggest a new area of research: using hop residues in sustainable seed treatments could promote the valorization of agricultural residues, while improving crop establishment and reducing the dependence on synthetic inputs. Full article

Outlier detection is a critical task in time series analysis, essential to maintaining data quality and allowing for accurate subsequent analysis. The Hampel filter, a decision filter that replaces outliers in a data window with the median, is widely used for outlier detection in time series due to its simplicity and effectiveness. While effective, its computational complexity, primarily due to the calculation of the Median Absolute Deviation (MAD), poses limitations for large-scale and real-time applications. This paper proposes a novel Hampel filter variant that replaces the MAD with an original estimator (mMAD) that retains statistical robustness but is computationally more efficient. This reduces the filter’s computational complexity from $O(N·wlogw)$ to $O(N·w)$, where N is the data length and w the window size. The proposed variant significantly lowers processing time and resource consumption, making it especially suitable for large-scale and real-time data processing while preserving robust outlier detection performance. Full article

Antimicrobial resistance (AMR) is one of the most significant public health threats today. The need for new antimicrobials against multidrug-resistant infections is growing. The development of computational models capable of predicting new drug–target interactions is an interesting strategy to reposition already known drugs into potential antimicrobials. The objective of this review was to compile the latest advances in the development of computational models capable of identifying drugs already registered by the Food and Drug Administration for other indications with potential capacity to be applied as antimicrobials. We present studies that apply in silico methods such as machine learning, molecular docking, molecular dynamics and deep learning. Some of these studies have in vitro/in vivo results that demonstrate the reliability of this computational methodology in terms of the identification of effective molecules and new targets of interest in the treatment of infections. In addition, we present the methods that are under development and their future prospects in terms of the search for new antimicrobials. We highlight the need to implement these strategies in the research of effective drugs in the treatment of infectious diseases and to continue to improve the available models and approaches to gain an advantage against the rapid emergence of AMR. Full article

In Spain, several major cities face high rates of avoidable deaths due to NO₂ exposure. Understanding NO₂ atmospheric dynamics is essential to support public health efforts and policymaking. Recent satellite products have proven useful in characterizing urban atmospheric composition in various regions. This study compares NO₂ concentration data from in situ air quality monitoring networks and the Sentinel-5P TROPOMI satellite in Spain’s three largest cities (Madrid, Barcelona, and Valencia), alongside O₃ levels —due to its close photochemical relationship with NO_x—wind speed and direction, temperature, relative humidity, and solar radiation. Data from 2022 were analyzed using Pearson correlation coefficients and Principal Component Analysis (PCA) to identify key relationships and patterns. Results showed a consistent negative correlation between NO₂ and O₃, wind speed, temperature, and solar radiation. Differences between in situ and satellite data were more pronounced in coastal cities, influenced by wind patterns and urban morphology (Madrid: r = 0.86, v = 1.34 m/s; Valencia: r = 0.68, v = 2.97 m/s; Barcelona: r = 0.65, v = 8.04 m/s). These insights enhance the understanding of NO₂ behavior in urban environments and support the use of remote sensing to estimate surface-level pollution in areas lacking ground-based monitoring infrastructure. This is the first study in Spain to jointly evaluate NO₂ from satellite and in situ data across multiple cities, linking pollutant concentrations with meteorological and chemical drivers to improve surface-level estimation strategies and support air quality assessment in under-monitored areas. Full article

The expansion of fisheries and aquaculture in recent decades has led to a substantial increase in fish by-products. This study investigates the extraction and characterization of calcium phosphates from the by-products of representative species in these industries, aiming to identify potential sources for biotechnological and pharmaceutical applications. Clean bones obtained by enzyme hydrolysis from the heads, central skeletons, and/or tails of Atlantic horse mackerel, blue whiting, hake, mackerel, and farmed turbot were subjected to calcination to obtain calcium phosphates. The clean bone content in terms of nitrogen, lipids, organic matter, total protein, and amino acids was evaluated together with the chemical bonds, structures, and elemental composition of calcium phosphates. Results indicated a significantly higher yield of wet bone recovery (23%, p < 0.05) for the central skeleton of Atlantic horse mackerel and the highest mineral fraction for the heads of Atlantic horse mackerel (73.2%), followed by that of blue whiting (72.6%). Hake and turbot presented the lowest mineral fractions and, therefore, the highest protein content (27–31%, p < 0.05), with significant levels of collagen-related amino acids (p < 0.05). X-ray diffraction (XRD) and Fourier-transform Raman spectroscopy (FT-Raman) confirmed the biphasic calcium phosphate composition for most samples based on hydroxyapatite with contributions of whitlockite/β-tricalcium phosphate. The highest contribution to the non-apatite phase was made by the central skeletons of both mackerel and Atlantic horse mackerel. Full article

Sustainability is currently seen as the central unifying idea necessary to mobilize collective responsibility to address the set of serious problems and challenges facing humanity, appealing to cooperation and the defense of the general interest. This article analyzes the social sustainability of the rural environment, in order to enhance its value beyond the traditional agricultural activities of the territory. Methodologically, it is based on ethnographic fieldwork through participant observation and in-depth interviews, carried out in the rural environment of Castilla y León. This has allowed us to reflect on the strategies that we have tried to articulate, combine, and relate to achieve rural social sustainability. The conclusions show the need to give political content to the rural space and the elements that derive from it. Political, economic, and social problems cannot be solved only from the local level; they need to create alliances beyond the communities to deal with economic structures that seek continuous growth. Full article

High-precision surface defect detection in manufacturing often relies on laser triangulation profilometric sensors for detailed surface measurements, providing detailed and accurate surface measurements over a line. Accurate motion between the sensor and workpiece, usually managed by robotic systems, is critical for maintaining optimal distance and orientation. This paper introduces a novel Reinforcement Learning (RL) approach to optimize inspection trajectories for profilometric sensors based on the boustrophedon scanning method. The RL model dynamically adjusts sensor position and tilt to ensure consistent profile distribution and high-quality scanning. We use a simulated environment replicating real-world conditions, including sensor noise and surface irregularities, to plan trajectories offline using CAD models. Key contributions include designing a state space, action space, and reward function tailored for profilometric sensor inspection. The Proximal Policy Optimization (PPO) algorithm trains the RL agent to optimize these trajectories effectively. Validation involves testing the model on various parts in simulation and performing real-world inspection with a UR3e robotic arm, demonstrating the approach’s practicality and effectiveness. Full article

Failure of anti-TNF therapy is a real concern in children with inflammatory bowel disease (IBD) owing to the limited therapeutic arsenal. Anti-TNF drugs modulate the immune response, a key driver of chronic inflammation in IBD. Accordingly, we analyzed changes in the frequency of T-lymphocyte and cytokine levels after 6 weeks of treatment to identify potential biomarkers of response to anti-TNF drugs. We recruited 77 patients under 18 years of age diagnosed with IBD and treated with an anti-TNF drug. Using flow cytometry and multiplex ELISA, we analyzed 31 T-lymphocyte populations and four cytokines. We identified changes in 10 populations of T lymphocytes after 6 weeks of treatment. Naïve Tregs were associated with a primary response to anti-TNF drugs, while activated Tregs were associated with long-term response. Serum INF-γ levels were decreased after anti-TNF treatment in children with Crohn’s disease (CD), but not in those with ulcerative colitis (UC). The memory CD8+ Type 2 Cytotoxic T (Tc2) subset increased in non-responders with CD and the CD4+ memory Th17 cells increased in non-responders with UC. These findings could help us to understand the cellular regulation of anti-TNF therapy, to identify children at a higher risk of treatment failure, and, potentially, to develop more personalized therapeutic strategies. Full article

Bioclimatic classifications provide critical insights into the relationships between climatic variables and the geographic distribution of organisms. Advances in high-resolution climate data, geobotanical integration, and spatial analysis techniques have improved the delineation of bioclimatic units, enabling more precise characterization of terrestrial ecosystems. This study characterizes the bioclimatic conditions of Jalisco, Mexico, through the identification of bioclimatic units and variants using bioclimatic indices and parameters. High-resolution climate data (1980–2018) from the CHELSA database and GIS-based spatial analysis were employed to delineate bioclimatic patterns and their correlation with climatophyllous potential vegetation. The results identified one macrobioclimate and two bioclimates—Tropical pluviseasonal (56.62%) and Tropical xeric (43.38%)—as well as two bioclimatic variants, six thermotypes, and seven ombrotypes. Notably, 49.84% of the territory exhibits bioclimatic variants, and a total of 42 isobioclimates were associated with 14 types of climatophyllous potential vegetation. These findings provide a foundation for understanding vegetation dynamics and support territorial planning and land management. The integration of remote sensing and bioclimatic analysis enhances the identification of spatial heterogeneity in climate–vegetation relationships, facilitating applications in ecological modeling, drought assessment, and conservation planning. This study contributes to ongoing research on terrestrial ecosystem functioning, aligning with current advancements in remote sensing-based environmental analysis. Full article

Objective: This study aimed to investigate potential specific molecular and neuroimaging biomarkers for stroke subtype recurrence to improve secondary stroke prevention. Methods: A retrospective analysis was conducted on a prospective stroke biobank. The main endpoint was to evaluate the association between different biomarkers and the recurrence of stroke subtypes. Serum levels of interleukin 6 (IL-6) and tumor necrosis factor-alpha (TNF-a) were analyzed as inflammation biomarkers; N-terminal pro-B-type natriuretic peptide (NT-pro-BNP) and microalbuminuria were used as atrial/endothelial dysfunction biomarkers, while leukoaraiosis (LA) and soluble TNF-like inducers of apoptosis (sTWEAK) were used as biomarkers for blood–brain barrier dysfunction. Demographic and clinical variables were also included. Results: A total of 5038 stroke patients were included, with a mean follow-up of 4.9 years (±3.3). Stroke recurrences were observed in 18.4% of patients (927 individuals). The main results found were as follows: LA was independently associated with lacunar stroke recurrence (adjusted OR 9.50; 95% CI: 3.12–28.93). NT-pro-BNP levels higher than >1000 pg/mL were independently associated with cardioembolic stroke recurrence (adjusted OR 1.80; 95% CI: 1.23–2.61). Persistently elevated TNF-a levels (>24 pg/mL) after stroke recurrence showed an adjusted OR of 21.26 (95% CI: 12.42–37.59) for atherothrombotic subtype, whereas persistently high sTWEAK levels (>7000 pg/mL) after a second hemorrhagic stroke showed an adjusted OR of 4.81 (95% CI: 2.86–8.07) for hemorrhagic subtype. Conclusions: The presence of LA and high levels of NT-pro-BNP, TNF-a, and sTWEAK were associated with an increased risk for lacunar, cardioembolic, atherothrombotic, and hemorrhagic stroke recurrences, respectively. Full article

Background: Bronchopulmonary dysplasia (BPD) is a major complication among preterm infants, and nutrition plays a crucial role in its prevention and management. While the nutritional superiority of human milk over preterm formula is well documented, comparisons of the protective benefits of mother’s own milk (MOM) versus donor human milk (DHM) in preterm infants are lacking. We aim to investigate if and how the use of MOM or DHM at the initiation of enteral feeding influences the development of BPD and other respiratory outcomes. Methods: This study evaluated the incidence of BPD and other prematurity outcomes in a cohort of 159 very preterm infants (≤32 weeks GA) who commenced enteral feeding with either MOM or DHM. Results: Enteral feeding was initiated with MOM in 75.5% of the infants and DHM in 24.5%. The incidence of BPD was 24.8% (39 infants), and 10.4% (16 infants) developed moderate-to-severe BPD. Univariate and multivariate analyses revealed no significant differences between the MOM and DHM groups in the rates of BPD, other respiratory outcomes, or key prematurity-related morbidities. Conclusions: Despite the unique bioactive properties of MOM, these findings suggest that DHM is a valid alternative that does not significantly increase the incidence of BPD or other clinical outcomes. Further studies are required to determine the relative contributions of milk volumes and feeding practices to the observed findings. Full article