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Abstract Genetic minimal cut sets (gMCS) are genes that must be deactivated simultaneously to avoid unwanted states in a metabolic model. The concept of gMCS can be applied to two different scenarios. First, it can be used to identify potential gene toxicities in generic or healthy cell models. Second, it can be used to develop genetic strategies to target cancer cells and prevent their proliferation. Up to now, gMCS have been evaluated using the traditional procedure of preventing biomass production. This paper proposes an additional way: using essential metabolic tasks, which any human cell should perform, to enlarge the set of unwanted states. Including this addition can significantly improve the study of toxicities and reveal targets that can be used to treat unhealthy cells. Excluding metabolic tasks can cause important information to be overlooked, which could impact the study’s success. Regarding toxicities, using the generic Human model, the number of detected generic toxicities with metabolic tasks increases from 106 to 281 (136 gMCSs of length 1 and 49 of length 2). We have used the following context-specific models to evaluate specific toxicities in different healthy tissues: blood, pancreas, liver, heart, and kidney. Again, considering metabolic tasks, we have found new toxicities (lengths 1 and 2) whose inactivation could damage these healthy tissues.Our research strategy has been applied to identify new cancer drug targets in two myeloma cell lines. We obtained new therapeutic targets of lengths 1 and 2 for each cell line. After analyzing the data, we conclude that incorporating metabolic tasks into cancer models can reveal important therapeutic targets previously disregarded by the conventional method of inhibiting biomass production. This approach also improves the evaluation of potential drug toxicities.

Resumen: Introducción: La enfermedad renal crónica (ERC) de etiología no filiada es una de las principales causas de tratamiento sustitutivo renal en nuestro medio. Estudios previos en otros territorios sugieren que las enfermedades hereditarias podrían ser una de las potenciales causas de esta patología, especialmente en los pacientes más jóvenes. El estudio GENSEN evaluará la presencia de variantes genéticas patogénicas en sujetos que hayan desarrollado ERC categoría G5 antes de los 46 años, de etiología no filiada. Métodos: Estudio observacional, prospectivo y multicéntrico, que evalúa la utilidad diagnóstica de la secuenciación masiva de alto rendimiento (HTS) dirigida a un conjunto de genes, en la identificación de la causa de la ERC. Se incluirán pacientes de todo el territorio español, a los que se extraerá una muestra de sangre o saliva, analizando posteriormente un panel de 529 genes asociados con enfermedad renal hereditaria. Esta publicación comunica el protocolo del estudio. Conclusión: El estudio GENSEN permitirá evaluar el rendimiento diagnóstico del estudio del panel de genes en sujetos jóvenes de nuestro medio con desarrollo de ERC categoría G5 sin causa clara. Un diagnóstico etiológico ofrecería potenciales beneficios para pacientes y familiares (terapias dirigidas, ensayos clínicos, detección manifestaciones extrarrenales, evaluación de familiares para donación de vivo, estimación del riesgo de recurrencia en el injerto renal, consejo genético, entre otros) y permitiría acercar el estudio genético a la nefrología de nuestro país. Abstract: Introduction: Chronic kidney disease (CKD) of unknown etiology is one of the main causes of renal replacement therapy in our environment. Previous studies in other territories suggest that hereditary diseases could be one of the potential causes of this pathology, especially in younger patients. The GENSEN study will evaluate the presence of pathogenic genetic variants in subjects who have developed CKD category G5 before the age of 46, of unknown etiology. Methods: Observational, prospective and multicenter study, which evaluates the diagnostic usefulness of massive high-throughput sequencing (HTS) directed at a set of genes, in identifying the cause of CKD. Patients from all over Spain will be included, from whom a blood or saliva sample will be extracted, subsequently analyzing a panel of 529 genes associated with hereditary kidney disease. This publication communicates the study protocol and design. Conclusion: The GENSEN study will allow to evaluate the diagnostic performance of a gene panel study in young subjects from our environment with the development of category G5 CKD without a clear cause. An etiological diagnosis would offer potential benefits for patients and relatives (targeted therapies, clinical trials, detection of extrarenal manifestations, evaluation of relatives for living kidney donation, estimation of the risk of recurrence in the kidney graft, genetic counseling, among others) and would allow genetic study to be brought closer to nephrology in our country.

Abstract This study introduces reusable polyacrylic membranes, fabricated from commercially available monomers (1-vinyl-2-pyrrolidone and methylmethacrylate), as a promising approach for pesticide extraction. These membranes effectively remove the commonly used herbicides mecoprop (RE ≈ 99%) and bentazon (RE ≈ 95%) at low concentrations, which pose water contamination risks due to their water-soluble properties and leaf-level sorption. The membranes exhibit excellent manageability and resistance, allowing for safe handling without personal protective equipment. Additionally, the material is environmentally friendly and can be washed and reused for at least 4 cycles without a significant decrease in performance. Characterization techniques, including NMR, TGA, DSC, mechanical testing, N2 adsorption, and FTIR analysis, were used to investigate properties and assess the influence of the polymeric composition. The study focused on examining the lateral charged aminoethyl groups, which play a crucial role in sorbent-sorbate interactions. Sorption kinetics, isotherms, and permeation studies provided insights into the removal mechanism, efficiency, and permeability coefficients, revealing hydrophobic–hydrophobic interactions between the pesticides and the polymer. Molecular dynamics simulations revealed a scorpion-like conformation of the macromolecular chains surrounding the pesticides. These findings support the hydrophobic nature of the extraction mechanism and highlight the significant role of charged aminoethyl groups in facilitating this process.

Abstract Background Chemotherapy, the mainstay treatment for metastatic cancer, presents serious side effects due to off-target exposure. In addition to the negative impact on patients’ quality of life, side effects limit the dose that can be administered and thus the efficacy of the drug. Encapsulation of chemotherapeutic drugs in nanocarriers is a promising strategy to mitigate these issues. However, avoiding premature drug release from the nanocarriers and selectively targeting the tumour remains a challenge. Results In this study, we present a pioneering method for drug integration into nanoparticles known as mesoporous organosilica drugs (MODs), a distinctive variant of periodic mesoporous organosilica nanoparticles (PMOs) in which the drug is an inherent component of the silica nanoparticle structure. This groundbreaking approach involves the chemical modification of drugs to produce bis-organosilane prodrugs, which act as silica precursors for MOD synthesis. Mitoxantrone (MTO), a drug used to treat metastatic breast cancer, was selected for the development of MTO@MOD nanomedicines, which demonstrated a significant reduction in breast cancer cell viability. Several MODs with different amounts of MTO were synthesised and found to be efficient nanoplatforms for the sustained delivery of MTO after biodegradation. In addition, Fe3O4 NPs were incorporated into the MODs to generate magnetic MODs to actively target the tumour and further enhance drug efficacy. Importantly, magnetic MTO@MODs underwent a Fenton reaction, which increased cancer cell death twofold compared to non-magnetic MODs. Conclusions A new PMO-based material, MOD nanomedicines, was synthesised using the chemotherapeutic drug MTO as a silica precursor. MTO@MOD nanomedicines demonstrated their efficacy in significantly reducing the viability of breast cancer cells. In addition, we incorporated Fe3O4 into MODs to generate magnetic MODs for active tumour targeting and enhanced drug efficacy by ROS generation. These findings pave the way for the designing of silica-based multitherapeutic nanomedicines for cancer treatment with improved drug delivery, reduced side effects and enhanced efficacy.

Biodiversity monitoring is key for understanding the delivery of ecosystem functions and services. Mediterranean forests and woodlands harbor many characteristic species of the Mediterranean vascular flora, and hence, they are a good surrogate for detecting changes in biodiversity linked to global change. In this work, we present a database resulting from the study of vascular plant diversity in multi-scale plots of 0.1 ha, measured around the first decade of this century and located in Mediterranean forest environments. Diversity profiles are calculated from Hill numbers (0, 1 and 2) for local (α) and regional (ϒ) diversity, as well as a multiplicative calculation of differential diversity (β). The main Mediterranean forests sampled had a medium coverage of 51% and stand dominant height of 10.6 m, and they were monospecific in two-thirds of cases. Local diversity reaches its highest values (around 78 species per 0.1 ha) in Holm oak dehesas, with values below 50 species for the most productive forest stands dominated by species of the genus Pinus. As regards the contribution to regional diversity, broadleaf formations contribute the most, with stone pine forests and dehesas in an intermediate position, and pine forests contributing the lowest in species richness terms.

The Achievement Goal Theory has been commonly used in the literature and the relation between the goal orientation construct and aspects of athletes’ personality and well-being is an important element to be considered in the sports field. The objectives of this study were: (i) to confirm the reliability, factorial invariance and existence of latent mean differences of the Goal Orientations in Exercise Scale (GOES) in an Ecuadorian sample across sex; (ii) to identify the existence of subgroups of Ecuadorian students with different profiles of goal orientations to exercise; and iii) to determine the differences in resilience and life satisfaction among these profiles. A total of 597 Ecuadorian students from the Sports Sciences degree participated in this study. Confirmatory factorial analysis supported the two-dimensional (ego-task) GOES structure. The GOES has an adequate reliability and structural invariance across sex. Significant latent mean differences on the ego orientation subscale were found across sex but not in the task one. Cluster analysis identified three task-ego orientation profiles: (1) moderately high on task and low on ego ; (2) low on task and slightly high on ego ; (3) high in both task and ego orientation. Post hoc comparisons showed statistical differences in resilience between the three profiles and in life satisfaction between the profile 3 and profiles 1 and 2. The current study allows the possibility of using the GOES as an invariant and reliable scale in Ecuadorian sample and initiates the use of goal orientation profiles and their relationship with resilience and life satisfaction in the sports field.

Pressure injuries, or pressure ulcers, are a common problem that may lead to infections and major complications, besides being a social and economic burden due to the costs of treatment and hospitalization. While surgery is sometimes necessary, this also has complications such as recurrence or wound dehiscence. Among the newer methods of pressure injury treatment, advanced therapies are an interesting option. This study examines the healing properties of bone marrow mononuclear cells (BM-MNCs) embedded in a plasma-based scaffold in a mouse model. Pressure ulcers were created on the backs of mice (2 per mouse) using magnets and assigned to a group of ulcers that were left untreated (Control, n = 15), treated with plasma scaffold (Plasma, n = 15), or treated with plasma scaffold containing BM-MNC (Plasma + BM-MNC, n = 15). Each group was examined at three time points (3, 7, and 14 days) after the onset of treatment. At each time point, animals were subjected to biometric assessment, bioluminescence imaging, and tomography. Once treatment had finished, skin biopsies were processed for histological and wound healing reverse transcription polymerase chain reaction (RT-PCR) array studies. While wound closure percentages were higher in the Plasma and Plasma + BM-MNC groups, differences were not significant, and thus descriptive data are provided. In all individuals, the presence of donor cells was revealed by immunohistochemistry on posttreatment onset Days 3, 7, and 14. In the Plasma + BM-MNC group, less inflammation was observed by positron emission tomography–computed tomography (PET/CT) imaging of the mice at 7 days, and a complete morphometabolic response was produced at 14 days, in accordance with histological results. A much more pronounced inflammatory process was observed in controls than in the other two groups, and this persisted until Day 14 after treatment onset. RT-PCR array gene expression patterns were also found to vary significantly, with the greatest difference noted between both treatments at 14 days when 11 genes were differentially expressed.

Artificial Neural Networks (ANNs) have emerged as a powerful tool in combustion simulations to replace memory-intensive tabulation of integrated chemical kinetics. Complex reaction mechanisms, however, present a challenge for standard ANN approaches as modeling multiple species typically suffers from inaccurate predictions on minor species. This paper presents a novel ANN approach which can be applied on complex reaction mechanisms in tabular data form, and only involves training a single ANN for a complete reaction mechanism. The approach incorporates a network architecture that automatically conserves mass and employs a particular loss weighting based on species depletion. Both modifications are used to improve the overall ANN performance and individual prediction accuracies, especially for minor species mass fractions. To validate its effectiveness, the approach is compared to standard ANNs in terms of performance and ANN complexity. Four distinct reaction mechanisms (H2, C7H16, C12H26, OME34) are used as a test cases, and results demonstrate that considerable improvements can be achieved by applying both modifications.

In recent years, sensory polymers have evolved significantly, emerging as versatile and cost-effective materials valued for their flexibility and lightweight nature. These polymers have transformed into sophisticated, active systems capable of precise detection and interaction, driving innovation across various domains, including smart materials, biomedical diagnostics, environmental monitoring, and industrial safety. Their unique responsiveness to specific stimuli has sparked considerable interest and exploration in numerous applications. However, along with these advancements, notable challenges need to be addressed. Issues such as wearable technology integration, biocompatibility, selectivity and sensitivity enhancement, stability and reliability improvement, signal processing optimization, IoT integration, and data analysis pose significant hurdles. When considered collectively, these challenges present formidable barriers to the commercial viability of sensory polymer-based technologies. Addressing these challenges requires a multifaceted approach encompassing technological innovation, regulatory compliance, market analysis, and commercialization strategies. Successfully navigating these complexities is essential for unlocking the full potential of sensory polymers and ensuring their widespread adoption and impact across industries, while also providing guidance to the scientific community to focus their research on the challenges of polymeric sensors and to understand the future prospects where research efforts need to be directed.