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Introduction: The increasing global pressure to explore alternative protein sources derived from animal by-products has opened-up opportunities, but it has also created the need to assess their compliance with labelling statements, to ensure consumer's trust in the composition of both feed and food products. Assessing the authenticity of highly processed animal by-products, particularly within the rapidly expanding Halal food market, presents a significant challenge due to the lack of robust and standardized methodologies. However, the success of DNA based authenticity system is highly dependent on the extracted DNA quantity, quality, and purity ratios from heterogeneous matrices. Material and methods: In this work, nine DNA extraction methods were tested on selected processed animal by-products with high-value and interest for the feed industry: meals from poultry meat, blood and feather, and hydrolysates from swine meat and bone, fish, and black soldier fly. The proposed DNA extraction methods are developed to specifically target swine-specific mitochondrial region, as a case study. Results and discussion: Both the conventional CTAB method and the commercial kits, specifically Invisorb® Spin Tissue Mini and NucleoSpin™ Food, demonstrated superior extraction efficiency and quality ratios. Nevertheless, commercial kits enabled faster detection in comparison to the conventional methods. The absence of swine DNA was successfully validated and confirmed in all animal meals and hydrolysates that did not contain swine in their composition beforehand, demonstrating their compliance with the Halal market requirements.

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Polymeric nanoparticles are a highly promising drug delivery formulation. However, a lack of understanding of the molecular mechanisms that underlie their drug solubilization and controlled release capabilities has hindered the efficient clinical translation of such technologies. Polyethylene glycol-poly(lactic-co-glycolic) acid (PEG-PLGA) nanoparticles have been widely studied as cancer drug delivery vehicles. In this letter, we use unbiased coarse-grained molecular dynamics simulations to model the self-assembly of a PEG-PLGA nanoparticle and its solubulization of the anticancer peptide, EEK, with good agreement with previously reported experimental structural data. We applied unsupervised machine learning techniques to quantify the conformations that polymers adopt at various locations within the nanoparticle. We find that the local microenvironments formed by the various polymer conformations promote preferential EEK solubilization within specific regions of the NP. This demonstrates that these microenvironments are key in controlling drug storage locations within nanoparticles, supporting the rational design of nanoparticles for therapeutic applications.

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RESUMEN Andrés Avelino Cáceres (1836-1923) fue un destacado político y militar peruano que ocupó la presidencia en dos periodos y lideró al ejército peruano durante la Guerra del Pacífico, por lo que es considerado un héroe nacional. Al inicio de su carrera militar, durante el sitio a la ciudad de Arequipa en 1858, sufrió una lesión ocular cuya cicatriz se observa en las fotografías que se le tomaron posteriormente a lo largo de su vida, lo que hizo que fuera apodado "El Tuerto" aunque al parecer su agudeza visual estuvo indemne. En este trabajo describiremos las circunstancias en las que se produjo la lesión oftálmica de Andrés Avelino Cáceres, las secuelas que pudo tener este traumatismo oftálmico y el tratamiento médico que pudo haber recibido, en base al propio relato del héroe y a las imágenes suyas que se conservan.

ABSTRACT Andrés Avelino Cáceres (1836-1923) was a prominent Peruvian politician and military man who held the presidency for two terms and led the Peruvian army during the Pacific War, for which he is considered a national hero. At the beginning of his military career, during the siege of the city of Arequipa in 1856, he suffered an eye injury whose scar can be seen in the photographs that were taken of him later throughout his life, which led to him being nicknamed "El Tuerto". We will describe the circumstances in which the ophthalmic injury of Andrés Avelino Cáceres occurred, the consequences that this ophthalmic trauma could have had and the treatment he could have received, based on the hero's own story and the images of him that are preserved.

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Contemporary synthetic chemistry approaches can be used to yield a range of distinct polymer topologies with precise control. The topology of a polymer strongly influences its self-assembly into complex nanostructures however a clear mechanistic understanding of the relationship between polymer topology and self-assembly has not yet been developed. In this work, we use atomistic molecular dynamics simulations to provide a nanoscale picture of the self-assembly of three poly(ethylene oxide)-poly(methyl acrylate) block copolymers with different topologies into micelles. We find that the topology affects the ability of the micelle to form a compact hydrophobic core, which directly affects its stability. Also, we apply unsupervised machine learning techniques to show that the topology of a polymer affects its ability to take a conformation in response to the local environment within the micelles. This work provides foundations for the rational design of polymer nanostructures based on their underlying topology.

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Drug delivery systems (DDS) have evolved in the last decades with the development of hydrogels and particles. However, challenges such as high systemic uptake, side effects, low bioavailability, and encapsulation efficiency continue to be significant hurdles faced by such DDSs. Particles and hydrogels can be specifically designed for targeted DDSs to mitigate some of these problems. This study developed chitosan (Cs) particles (Ps) and composite films using poly(ethylene glycol) diacrylate (PEGDA) as a copolymer to encapsulate gentamicin (GtS) for drug delivery. We demonstrated that lysozyme degrades the chitosan ß-1,4 glycosidic bonds to release GtS. PEGDA increased drug encapsulation efficiency by shielding the repelling forces of like charges between Cs and GtS. The data show that PEGDA does not hinder enzymatic degradation while increasing drug encapsulation efficiency and producing more homogeneous particles. Additionally, we utilized Michael's reaction to cross-link Cs, CsPs, and PEGDA to produce a film designed for drug delivery. The film is an anchor for CsPs to prevent premature drug release. The cross-linking of Cs and PEGDA does not affect lysozyme activity, and CsPs could successfully release GtS without affecting GtS activity.

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Background/Objective: In light of calls to engage community health workers (CHWs) in the delivery of cervical cancer screening innovations, this study explores CHW perspectives on i) barriers to cervical cancer screening in a predominantly Hispanic community in Lake County, Indiana, the county with the highest cervical mortality in the state; and ii) the acceptability and feasibility of CHW-facilitated human papillomavirus (HPV) self-sampling as a means of reducing screening disparities. Methods: In 2021, in-depth interviews were conducted with 15 CHWs employed by Lake County community-based organizations including clinics, schools, and faith-based organizations. Results: Harnessing CHWs' voices as insiders with knowledge of their communities' health landscape, our analysis identified multilevel barriers to screening that spanned individual, interpersonal, and community levels of the socio-ecological model. CHW-facilitated HPV self-sampling shows promise of mitigating several barriers to cervical cancer screening. Privacy, time saved, and comfort were perceived to be facilitators for acceptability, with concerns about the novelty of this approach and trust in provider (as opposed to CHW) expertise emerging as key barriers. In terms of feasibility, synergies with existing CHW work, and some community members' prior experience with self-sampling were found to be facilitators, while CHW's time limitations and self-efficacy in providing adequate medical support were areas of concern. Considerations for adoption included CHW training, gender concordance, safety, and respect, among others. Conclusion: This study provides critical insights from CHWs as key stakeholders on a screening model that directly engages them, which can inform implementation to increase screening in medically-underserved communities in the US.

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Using generative deep learning models and reinforcement learning together can effectively generate new molecules with desired properties. By employing a multi-objective scoring function, thousands of high-scoring molecules can be generated, making this approach useful for drug discovery and material science. However, the application of these methods can be hindered by computationally expensive or time-consuming scoring procedures, particularly when a large number of function calls are required as feedback in the reinforcement learning optimization. Here, we propose the use of double-loop reinforcement learning with simplified molecular line entry system (SMILES) augmentation to improve the efficiency and speed of the optimization. By adding an inner loop that augments the generated SMILES strings to non-canonical SMILES for use in additional reinforcement learning rounds, we can both reuse the scoring calculations on the molecular level, thereby speeding up the learning process, as well as offer additional protection against mode collapse. We find that employing between 5 and 10 augmentation repetitions is optimal for the scoring functions tested and is further associated with an increased diversity in the generated compounds, improved reproducibility of the sampling runs and the generation of molecules of higher similarity to known ligands.

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Machine learning methods offer the opportunity to design new functional materials on an unprecedented scale; however, building the large, diverse databases of molecules on which to train such methods remains a daunting task. Automated computational chemistry modeling workflows are therefore becoming essential tools in this data-driven hunt for new materials with novel properties, since they offer a means by which to create and curate molecular databases without requiring significant levels of user input. This ensures that well-founded concerns regarding data provenance, reproducibility, and replicability are mitigated. We have developed a versatile and flexible software package, PySoftK (Python Soft Matter at King's College London) that provides flexible, automated computational workflows to create, model, and curate libraries of polymers with minimal user intervention. PySoftK is available as an efficient, fully tested, and easily installable Python package. Key features of the software include the wide range of different polymer topologies that can be automatically generated and its fully parallelized library generation tools. It is anticipated that PySoftK will support the generation, modeling, and curation of large polymer libraries to support functional materials discovery in the nanotechnology and biotechnology arenas.

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BACKGROUND: At-risk alcohol use, particularly binge drinking, is widespread among adolescents and young adults in most Western countries. MobileCoach Alcohol is a mobile app-based program for alcohol prevention that provides individualized coaching using a conversational agent. The current study tested the acceptance, use, and evaluation of this newly developed program and explored its potential effectiveness. METHODS: Longitudinal pre-post study among upper secondary and vocational school students in Switzerland. Within the MobileCoach Alcohol prevention program, a virtual coach motivated participants to deal with alcohol sensitively, and provided feedback on alcohol use and strategies to resist alcohol for a period of 10 weeks. Information was provided in weekly dialogs, within contests with other participants, and interactive challenges. By means of a follow-up survey after the end of the 10-week program, indicators of the use, acceptance, and effectiveness of the program were examined. RESULTS: Between October 2020 and July 2022, the program was advertised in upper secondary and vocational schools. Recruiting schools and school classes was difficult due to the COVID-19 containment measures in place during this period. Nevertheless, the program could be implemented in 61 upper secondary and vocational school classes with a total of 954 participating students. Three out of four students who were present in the school classes participated in the MobileCoach Alcohol program and the associated study. Online follow up assessment at week 10 was completed by 272 program participants (28.4%). Based on program use and evaluations by the participants, the overall acceptance of the intervention was good. The proportion of students who engaged in binge drinking was significantly reduced from 32.7% at baseline to 24.3% at follow up. Furthermore, the longitudinal analyses revealed decreases in the maximum number of alcoholic drinks consumed on an occasion and the mean number of standard drinks per month, whereas self-efficacy to resist alcohol increased between baseline and follow up. CONCLUSIONS: The mobile app-based MobileCoach Alcohol program proved to be an attractive intervention, in which the majority of students were interested when proactively recruited at school classes. It allows for individualized coaching in large groups of adolescents and young adults and is promising for reducing at-risk alcohol use.

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Plant biomass is a promising substrate for biorefinery, as well as a source of bioactive compounds, platform chemicals, and precursors with multiple industrial applications. These applications depend on the hydrolysis of its recalcitrant structure. However, the effective biological degradation of plant cell walls requires several enzymatic groups acting synergistically, and novel enzymes are needed in order to achieve profitable industrial hydrolysis processes. In the present work, a feruloyl esterase (FAE) activity screening of Penicillium spp. strains revealed a promising candidate (Penicillium rubens Wisconsin 54-1255; previously Penicillium chrysogenum), where two FAE-ORFs were identified and subsequently overexpressed. Enzyme extracts were analyzed, confirming the presence of FAE activity in the respective gene products (PrFaeA and PrFaeB). PrFaeB-enriched enzyme extracts were used to determine the FAE activity optima (pH 5.0 and 50-55 °C) and perform proteome analysis by means of MALDI-TOF/TOF mass spectrometry. The studies were completed with the determination of other lignocellulolytic activities, an untargeted metabolite analysis, and upscaled FAE production in stirred tank reactors. The findings described in this work present P. rubens as a promising lignocellulolytic enzyme producer. KEY POINTS: • Two Penicillium rubens ORFs were first confirmed to have feruloyl esterase activity. • Overexpression of the ORFs produced a novel P. rubens strain with improved activity. • The first in-depth proteomic study of a P. rubens lignocellulolytic extract is shown.

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Lipid peroxidation is a process which is key in cell signaling and disease, it is exploited in cancer therapy in the form of photodynamic therapy. The appearance of hydrophilic moieties within the bilayer's hydrocarbon core will dramatically alter the structure and mechanical behavior of membranes. Here, we combine viscosity sensitive fluorophores, advanced microscopy, and X-ray diffraction and molecular simulations to directly and quantitatively measure the bilayer's structural and viscoelastic properties, and correlate these with atomistic molecular modelling. Our results indicate an increase in microviscosity and a decrease in the bending rigidity upon peroxidation of the membranes, contrary to the trend observed with non-oxidized lipids. Fluorescence lifetime imaging microscopy and MD simulations give evidence for the presence of membrane regions of different local order in the oxidized membranes. We hypothesize that oxidation promotes stronger lipid-lipid interactions, which lead to an increase in the lateral heterogeneity within the bilayer and the creation of lipid clusters of higher order.

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In this study, the DNA metabarcoding technique was used to explore the prokaryote diversity and community structure in wastewater collected in spring and winter 2020-2021 as well as the efficiency of the treatment in a wastewater treatment plant (WWTP) in Ría de Vigo (NW Spain). The samplings included raw wastewater from the inlet stream (M1), the discharge water after the disinfection treatment (M3) and mussels used as bioindicators of possible contamination of the marine environment. Significant differences were discovered in the microbiome of each type of sample (M1, M3 and mussels), with 92 %, 45 % and 44 % of exclusive OTUs found in mussel, M3 and M1 samples respectively. Seasonal differences were also detected in wastewater samples, with which abiotic parameters (temperature, pH) could be strongly involved. Bacteria present in raw wastewater (M1) were associated with the human gut microbiome, and therefore, potential pathogens that could be circulating in the population in specific periods were detected (e.g., Arcobacter sp. and Clostridium sp.). A considerable decrease in putative pathogenic organisms from the M1 to M3 wastewater fractions and the scarce presence in mussels (<0.5 % total reads) confirmed the effectiveness of pathogen removal in the wastewater treatment plant. Our results showed the potential of the DNA metabarcoding technique for monitoring studies and confirmed its application in wastewater-based epidemiology (WBE) and environmental contamination studies. Although this technique cannot determine if the infective pathogens are present, it can characterize the microbial communities and the putative pathogens that are circulating through the population (microbiome of M1) and also confirm the efficacy of depuration treatment, which can directly affect the aquaculture sector and even human and veterinary health.

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Metatranscriptomics has emerged as a very useful technology for the study of microbiomes from RNA-seq reads. This method provides additional information compared to the sequencing of ribosomal genes because the gene expression can also be analysed. In this work, we used the metatranscriptomic approach to study the whole microbiome of mussels, including bacteria, viruses, fungi, and protozoans, by mapping the RNA-seq reads to custom assembly databases (including the genomes of microorganisms publicly available). This strategy allowed us not only to describe the diversity of microorganisms but also to relate the host transcriptome and microbiome, finding the genes more affected by the pathogen load. Although some bacteria abundant in the metatranscriptomic analysis were undetectable by 16S rRNA sequencing, a common core of the taxa was detected by both methodologies (62% of the metatranscriptomic detections were also identified by 16S rRNA sequencing, the Oceanospirillales, Flavobacteriales and Vibrionales orders being the most relevant). However, the differences in the microbiome composition were observed among different tissues of Mytilus galloprovincialis, with the fungal kingdom being especially diverse, or among molluscan species. These results confirm the potential of a meta-analysis of transcriptome data to obtain new information on the molluscs' microbiome.

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BACKGROUND: Addictive behaviors such as tobacco/e-cigarette smoking, at-risk alcohol consumption, cannabis use or compulsive internet use are common among apprentices. ready4life is a mobile app-based preventive intervention program for apprentices that promotes life skills and reduces risky behavior. The present study tested the efficacy of ready4life for addiction prevention among apprentices in Switzerland within a controlled trial. METHODS: Two-arm, cluster-randomized controlled trial including assessments at baseline and follow-up after 6 months. Participants of the intervention group received coaching by a conversational agent for 16 weeks. The main outcome measure was a composite score for addictive behaviors, which included (1) at-risk drinking, (2) tobacco/e-cigarette smoking, (3) cannabis use and (4) problematic internet use. RESULTS: A total of 2275 students from 159 vocational school classes in Switzerland, were invited for study participation. Of these, 1351 (59.4%) students with a mean age of 17.3 years and a male proportion of 56.6% provided informed consent to participate. The follow up assessment at month 6 was completed by 962 (71.2%) study participants. The results concerning the primary outcome showed a stronger decrease of addictive behaviors between baseline and follow up in the intervention group compared to the control group. In particular, significant effects were observed for at-risk drinking and problematic Internet use, while no significant effects were observed for tobacco/e-cigarette smoking and cannabis use. CONCLUSIONS: The majority of apprentices invited for program participation within vocational schools participated in the ready4life program for addiction prevention. The mobile app-based coaching was effective in reducing risk behaviors such as at-risk drinking and problematic Internet use in a group of adolescents who have an especially high risk of engaging in addictive activities.

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Conjugated polymers are employed in a variety of application areas due to their bright fluorescence and strong biocompatibility. However, understanding the structure of amorphous conjugated polymers on the nanoscale is extremely challenging compared to their related crystalline phases. Using a bespoke classical force field, we study amorphous poly(9,9-di-n-octylfluorene-alt-benzothiadiazole) (F8BT) with molecular dynamics simulations to investigate the role that its nanoscale structure plays in controlling its emergent (and all-important) optical properties. Notably, we show that a giant percolating cluster exists within amorphous F8BT, which has ramifications in understanding the nature of interchain species that drive the quantum yield reduction and bathochromic shift observed in conjugated polymer-based devices and nanostructures. We also show that distinct conformations can be unravelled from within the disordered structure of amorphous F8BT using a two-stage machine learning protocol, highlighting a link between molecular conformation and ring stacking propensity. This work provides predictive understanding by which to enhance the optical properties of next-generation conjugated polymer-based devices and materials by rational, simulation-led design principles.

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INTRODUCTION: The main objective of this study was to test the longer-term and differential efficacy of a mobile phone‒based life-skills training program designed to prevent substance use among adolescents. STUDY DESIGN: A 2-arm, parallel-group, cluster RCT with assessments at baseline and follow-up after 6 and 18 months was conducted. The efficacy of the intervention was compared with that of an assessment-only control condition. SETTING/PARTICIPANTS: A total of 1,473 students with a mean age of 15.4 years were recruited in 2019/2020 within 89 Swiss secondary and upper secondary school classes. INTERVENTION: The automated intervention program included online feedback and individually tailored text messages provided over 22 weeks. The contents were based on social cognitive theory and addressed self-management, social, and substance use resistance skills. MAIN OUTCOME MEASURES: Primary outcomes included 30-day prevalence rates for problem drinking and tobacco use. RESULTS: The 18-month follow-up assessments were completed by 1,232 study (83.6%) participants. Those in the intervention group reported lower tobacco-smoking prevalence than the controls (OR=0.67; 95% CI=0.47, 0.96), but no significant difference in problem drinking (OR=0.84; 95% CI=0.61, 1.17) was observed. Among secondary outcomes, the intervention was effective at reducing cannabis-smoking prevalence (OR=0.55; 95% CI=0.39, 0.76) and cannabis use days (Cohen's d= -0.19; 95% CI= -0.29, -0.09), whereas no effects were observed for quantity of alcohol use, quantity of cigarettes smoked, well-being, or social skills. No significant moderators of the primary outcomes were observed. CONCLUSIONS: An automated mobile phone‒based life-skills training program produced longer-term effectiveness in preventing tobacco smoking and cannabis use, whereas no effects were observed for problem drinking. These results suggest that digitally delivered life-skills training programs are similarly effective and are an easy-to-implement alternative to training conducted within a school curriculum. TRIAL REGISTRATION: This study is registered at ISRCTN41347061 (registration date: 21/07/2018).

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Antecedentes y objetivos: La pandemia de COVID-19 ha provocado que gran parte de la población experimente ansiedad. Los niveles de Inteligencia Emocional Percibida (IEP) y regulación emocional pueden ser factores clave para modular los niveles de ansiedad y prevenir trastornos emocionales. El objetivo es analizar cómo influyen los niveles de IEP y las formas de regulación emocional de reappraisal y supresión en la ansiedad experimentada. Materiales y métodos: 99 participantes de 18 a 35 años cumplimentaron el Inventario de Situaciones y Respuestas de Ansiedad (ISRA-B) para ansiedad, el Trait Meta Mood Scale (TMMS-24) para IEP, el Emotion Regulation Questionnaire (ERQ) para regulación emocional y un cuestionario sociodemográfico y de situaciones relacionadas con el COVID-19. Resultados: Los factores de IEP medidos predicen los niveles de ansiedad, puntuaciones altas en atención y bajas en claridad y reparación predicen distintas respuestas de ansiedad y en distintas situaciones en porcentajes variables. Los factores de reappraisal y supresión no predicen los niveles de ansiedad. Las mujeres experimentan más ansiedad que los hombres y aquellas personas con familiares o amigos que han sufrido COVID-19 experimentan menos ansiedad. Conclusiones: Niveles altos en atención y bajos en claridad y reparación son factores de riesgo para experimentar distintos tipos de ansiedad en distintas situaciones, mientras que las formas de regulación emocional de reappraisal y supresión no parecen ser relevantes. Factores sociodemográficos como ser mujer o experiencias relacionadas con el COVID-19 parecen ser factores de riesgo o protectores que deben ser estudiados para prevenir la ansiedad en contextos de pandemia.

Background and objectives: The COVID-19 pandemic has caused a large part of the world population to experience anxiety. The levels of Perceived Emotional Intelligence and emotional regulation can be key factors in modulating the levels of anxiety experienced and preventing the emotional disorders. The aim is to analyze how the IEP levels and forms of emotional regulation of reappraisal and suppression influence the anxiety experience. Materials and methods: 99 participants aged between 18 and 35 completed the Inventory of Anxiety Situations and Responses (ISRA-B) to analyze anxiety, the Trait Meta Mood Scale (TMMS-24) for IEP, the Emotion Regulation Questionnaire (ERQ) for emotional regulation and a sociodemographic questionnaire and situations related to the experience with COVID-19. Results: The measured IEP factors predict anxiety levels, high attention and low clarity and repair predict different anxiety responses and in different situations in variable percentages. Reappraisal and suppression factors do not predict anxiety levels. Women experience more anxiety than men and those who have had relatives or friends who have suffered from COVID-19 experience less anxiety. Conclusions: High levels of attention to feelings and low levels of clarity and emotional repair are risk factors for experiencing different types of anxiety in different situations, while the forms of emotional regulation of reappraisal and suppression do not seem to be relevant, sociodemographic factors such as being a woman or one’s own experiences in relation to COVID-19 seem to be risk or protective factors that should be studied to prevent anxiety in pandemic contexts.

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Psoriasis is a clinically heterogeneous skin disease with an important genetic component, whose pathophysiology is not yet fully understood and for which there is still no cure. Hence, alternative therapies have been evaluated, using plant species such as turmeric (Curcuma longa Linn.) in topical preparations. However, the stratum corneum is a barrier to be overcome, and ionic liquids have emerged as potential substances that promote skin permeation. Thus, the main objective of this research was to evaluate a biopolysaccharide hydrogel formulation integrating curcumin with choline and geranic acid ionic liquid (CAGE-IL) as a facilitator of skin transdermal permeation, in the treatment of chemically induced psoriasis in mice. The developed gel containing curcumin and CAGE-IL showed a high potential for applications in the treatment of psoriasis, reversing the histological manifestations of psoriasis to a state very close to that of normal skin.

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BACKGROUND: The generation of induced pluripotent stem cells (iPSC) has been a game-changer in translational and regenerative medicine; however, their large-scale applicability is still hampered by the scarcity of accessible, safe, and reproducible protocols. The porcine model is a large biomedical model that enables translational applications, including gene editing, long term in vivo and offspring analysis; therefore, suitable for both medicine and animal production. AIM: To reprogramme in vitro into pluripotency, and herein urine-derived cells (UDCs) were isolated from porcine urine. METHODS: The UDCs were reprogrammed in vitro using human or murine octamer-binding transcription factor 4 (OCT4), SRY-box2 (SOX2), Kruppel-like factor 4 (KLF4), and C-MYC, and cultured with basic fibroblast growth factor (bFGF) supplementation. To characterize the putative porcine iPSCs three clonal lineages were submitted to immunocytochemistry for alkaline phosphatase (AP), OCT4, SOX2, NANOG, TRA1 81 and SSEA 1 detection. Endogenous transcripts related to the pluripotency (OCT4, SOX2 and NANOG) were analyzed via reverse transcription quantitative real-time polymerase chain reaction in different time points during the culture, and all three lineages formed embryoid bodies (EBs) when cultured in suspension without bFGF supplementation. RESULTS: The UDCs were isolated from swine urine samples and when at passage 2 submitted to in vitro reprogramming. Colonies of putative iPSCs were obtained only from UDCs transduced with the murine factors (mOSKM), but not from human factors (hOSKM). Three clonal lineages were isolated and further cultured for at least 28 passages, all the lineages were positive for AP detection, the OCT4, SOX2, NANOG markers, albeit the immunocytochemical analysis also revealed heterogeneous phenotypic profiles among lineages and passages for NANOG and SSEA1, similar results were observed in the abundance of the endogenous transcripts related to pluripotent state. All the clonal lineages when cultured in suspension without bFGF were able to form EBs expressing ectoderm and mesoderm layers transcripts. CONCLUSION: For the first time UDCs were isolated in the swine model and reprogrammed into a pluripotent-like state, enabling new numerous applications in both human or veterinary regenerative medicine.

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This study presents the results of SARS-CoV-2 surveillance in sewage water of 11 municipalities and marine bioindicators in Galicia (NW of Spain) from May 2020 to May 2021. An integrated pipeline was developed including sampling, pre-treatment and biomarker quantification, RNA detection, SARS-CoV-2 sequencing, mechanistic mathematical modeling and forecasting. The viral load in the inlet stream to the wastewater treatment plants (WWTP) was used to detect new outbreaks of COVID-19, and the data of viral load in the wastewater in combination with data provided by the health system was used to predict the evolution of the pandemic in the municipalities under study within a time horizon of 7 days. Moreover, the study shows that the viral load was eliminated from the treated sewage water in the WWTP, mainly in the biological reactors and the disinfection system. As a result, we detected a minor impact of the virus in the marine environment through the analysis of seawater, marine sediments and, wild and aquacultured mussels in the final discharge point of the WWTP.

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