Adaptação e validação do instrumento Coping Behaviour Inventory para o idioma português europeu / Adaptation and validation of the Coping Behavior Inventory into European Portuguese / Adaptación y validación del Coping Behavior Inventory al portugués europeo

Resumo Enquadramento: Os estudantes de enfermagem estão sujeitos a stress ao longo do curso de enfermagem sobretudo durante a prática clínica. O conhecimento das estratégias de coping utilizadas permite identificar recursos para mitigar o stress a que estes estão sujeitos. Objetivo: Traduzir e validar o instrumento Coping Behaviour Inventory para o idioma português europeu. Metodologia: Trata-se de um estudo metodológico onde foi utilizada uma amostra não probabilística de 113 estudantes dos 4 anos do curso de licenciatura em enfermagem. Para a aferição das propriedades psicométricas do instrumento foi determinada a validade de construto da escala pelo método de análise de componentes principais e a consistência interna pelo cálculo do coeficiente alfa de Cronbach. Resultados: Pela análise fatorial exploratória foram extraídos quatro fatores comuns que explicam 57,5% da variância retida sendo o valor alfa de Cronbach para a escala total de 0,668. Conclusão: O Inventário de comportamentos de coping apresenta características psicométricas adequadas no idioma português europeu, sendo um instrumento fiável na avaliação das estratégias de coping utilizadas pelos estudantes de enfermagem.

Abstract Background: Nursing students are exposed to stress during their nursing program, particularly during clinical practice. Identifying the coping strategies used during this period can help identify resources to mitigate the stress they face. Objective: To translate and validate the Coping Behavior Inventory (CBI) into European Portuguese. Methodology: Methodological study with a nonprobability sample of 113 students attending the four years of the nursing program. To assess the psychometric properties of the instrument, its validity was analyzed using the principal component analysis method and its internal consistency by calculating Cronbach's alpha coefficient. Results: Four common factors were extracted from the exploratory factor analysis, explaining 57.5% of the variance, with a Cronbach's alpha value of 0.668 for the total scale. Conclusion: The European Portuguese version of the CBI has adequate psychometric characteristics and is a reliable tool for assessing the coping strategies used by nursing students.

Resumen Marco contextual: Los estudiantes de enfermería están sometidos a estrés a lo largo de sus estudios, especialmente durante las prácticas clínicas. El conocimiento de las estrategias de afrontamiento (coping) utilizadas nos permite identificar recursos para mitigar el estrés al que están sometidos. Objetivo: Traducir y validar el instrumento Coping Behavior Inventory para el idioma portugués europeo. Metodología: Se trata de un estudio metodológico que utilizó una muestra no probabilística de 113 estudiantes de los cuatro años de la carrera de Enfermería. Para evaluar las propiedades psicométricas del instrumento, se determinó la validez de constructo de la escala mediante el método de análisis de componentes principales y la consistencia interna mediante el cálculo del coeficiente alfa de Cronbach. Resultados: El análisis factorial exploratorio extrajo cuatro factores comunes que explican el 57,5% de la varianza retenida, con un valor alfa de Cronbach para la escala total de 0,668. Conclusión: El Inventario de Comportamientos de Afrontamiento tiene características psicométricas adecuadas en portugués europeo y es un instrumento fiable para evaluar las estrategias de afrontamiento utilizadas por los estudiantes de enfermería.

Bioprospection of rattlesnake venom peptide fractions with anti-adipose and anti-insulin resistance activity in vitro.

Animal venoms are natural products that have served as a source of novel molecules that have inspired novel drugs for several diseases, including for metabolic diseases such as type-2 diabetes and obesity. From venoms, toxins such as exendin-4 (Heloderma suspectum) and crotamine (Crotalus durissus terrificus) have demonstrated their potential as treatments for obesity. Moreover, other toxins such as Phospholipases A2 and Disintegrins have shown their potential to modulate insulin secretion in vitro. This suggests an unexplored diversity of venom peptides with a potential anti-obesogenic in Mexican rattlesnake venoms. For that reason, this study explored the in vitro effect of Crotalus venom peptide-rich fractions on models for insulin resistance, adipocyte lipid accumulation, antioxidant activity, and inflammation process through nitric oxide production inhibition. Our results demonstrated that the peptide-rich fractions of C. aquilus, C. ravus, and C. scutulatus scutulatus were capable of reverting insulin resistance, enhancing glucose consumption to normal control; C. culminatus, C. molossus oaxacus, and C. polystictus diminished the lipid accumulation on adipocytes by 20%; C. aquilus, C. ravus, and C. s. salvini had the most significant cellular antioxidant activity, having nearly 80% of ROS inhibition. C. aquilus, C. pyrrhus, and C. s. salvini inhibited nitric oxide production by about 85%. We demonstrated the potential of these peptides from Crotalus venoms to develop novel drugs to treat type-2 diabetes and obesity. Moreover, we described for the first time that Crotalus venom peptide fractions have antioxidant and inflammatory properties in vitro models.

Evaluating sacha inchi (Plukenetia volubilis) oil stability and physicochemical properties: A comparison between conventional extraction and supercritical fluids.

This study aimed to compare the effects of two extraction techniques (conventional n-hexane and supercritical CO2) on the oil extraction yields, fatty acids profile, anti-hyaluronidase activity, oxidative stability, and in vitro bioactivities of oils from Sacha Inchi (Plukenetia volubilis). Higher oil extraction yield (99 %) was achieved using the SC-CO2, although similar fatty acids profiles were depicted between both treatments (p < 0.05). The SC-CO2 oil presented higher anti-hyaluronidase (31 %) activity, but lower oxidative stability (5.05 h) compared to the solvent extraction (10 %, and 5.3 h, respectively). In vitro assays further revealed that the best human normal colon cells (FHC) cell viability (100 %), anti-inflammatory (50 % lower NO production), and antioxidant (20 % ROS reduction) activities were consistently observed in both extraction treatments at concentrations of 50 µg/mL and higher. These findings highlight the potential of supercritical CO2 extraction in yielding Sacha Inchi oil with enhanced bioactive properties without the disadvantages of the use of organic solvents extraction.

Popcorn quality parameters and nutritional properties of oily maize (Zea mays var. 'Everta') hybrids subjected to different thermal treatments.

This research assessed the popcorn quality parameters and nutritional properties of 5 oily maize (Zea mays var. 'Everta') hybrids under several thermal treatments (hot air, microwave, and wet cooking). Grains contained 2.16-4.51 % crude fat and 11.08-12.94 % protein, displayed a similar amount of individual p-coumaric and ferulic acid derivatives (p > 0.05) (free: 3.61-40.53 µg/g; bound: 1621.75-1970.94 µg/g), and total phytosterols ranging from 8.76 to 13.17 µg/g. Hot air- and wet cooking-treated grains showed the highest expansion volume (121.5-133.1 mL), and there were no differences in yield and residual percentage (p < 0.05). PCA analysis clustered samples 1 and 3 as the most influential on bound phenolics, expansion time, yield, and popped grains weight, mostly under hot air and wet cooking treatments. Spearman's correlations outlined the potential of the grains' total and bound phenolics on popping quality (weight and expansion time: 0.50-0.90). Results suggested the oily hybrids' nutritional potential and suitability to produce high-quality popcorn.

Impact of chickpea biofortification on the bioaccessibility of micronutrients and their relationship to obesity-linked biological activities.

Micronutrient deficiencies are a critical factor in the development of obesity. This work aimed to determine the Se and Zn bioaccessibility on biofortified chickpea flour and evaluate their impact on the antioxidant and anti-inflammatory activities. The greatest increase (235 %) in isoflavones was observed in the ZnSO4-treatment compared to the control. Malonylated-formononetin-glucoside was the major isoflavone (43 %-50 %) found in the treatments. Na2SeO3-treated seeds showed the highest Se accumulation, while the greatest Zn accumulation was found in ZnSO4-treated seeds. Se bioaccesibility followed the order: Germinated Control>ZnSO4 > ZnSeO3 > ZnSO4 + Na2SeO3 > Na2SeO3, while in the seeds biofortified with Zn salts showed the order: Germinated Control>ZnSeO3 > ZnSO4 + Na2SeO3 > Na2SeO3 > ZnSO4. All treatments showed antioxidant activity. Na2SeO3-treatment (15.625 µg/mL) showed a significant reduction of 52 % in NO production compared to the Germinated Control. These findings demonstrated the biological value of food biofortification in providing minerals in the diet to combat the oxidative stress characteristic of obesity.

Functional foods lipids: unraveling their role in the immune response in obesity.

Functional lipids are lipids that are found in food matrices and play an important role in influencing human health as their role goes beyond energy storage and structural components. Ongoing research into functional lipids has highlighted their potential to modulate immune responses and other mechanisms associated with obesity, along with its comorbidities. These lipids represent a new field that may offer new therapeutic and preventive strategies for these diseases by understanding their contribution to health. In this review, we discussed in-depth the potential food sources of functional lipids and their reported potential benefit of the major lipid classification: based on their composition such as simple, compound, and derived lipids, and based on their function such as storage and structural, by investigating the intricate mechanisms through which these lipids interact in the human body. We summarize the key insights into the bioaccessibility and bioavailability of the most studied functional lipids. Furthermore, we review the main immunomodulatory mechanisms reported in the literature in the past years. Finally, we discuss the perspectives and challenges faced in the food industry related to functional lipids.

Functional lipids are immunomodulatory agents in chronic non-communicable diseases.Bioaccessibility and bioavailability depend mainly on the lipid profile and the matrix food.Incorporation of polyunsaturated fat in foods is a current technological challenge.Emerging technologies are good options for extracting functional lipids efficiently.Nanotechnology plays an important role in developing food delivery systems.Food delivery systems improve the bioavailability of functional lipids.

Adaptive immune response to bordetella pertussis during vaccination and infection: emerging perspectives and unanswered questions.

INTRODUCTION: Whooping cough, also known as pertussis, remains a significant challenge as a vaccine-preventable disease worldwide. Since the switch from the whole-cell Pertussis (wP) vaccine to the acellular Pertussis vaccine (aP), cases of whooping cough have increased in countries using the aP vaccine. Understanding the immune system's response to pertussis vaccines and infection is crucial for improving current vaccine efficacy. AREAS COVERED: This review of the literature using PubMed records offers an overview of the qualitative differences in antibody and T cell responses to B. pertussis (BP) in vaccination and infection, and their potential association with decreased efficacy of the aP vaccine in preventing infection and subclinical colonization. We further discuss how asymptomatic infections and carriage are widespread among vaccinated human populations, and explore methodologies that can be employed for their detection, to better understand their impact on adaptive immune responses and identify key features necessary for protection against the disease. EXPERT OPINION: An underappreciated human BP reservoir, stemming from the decreased capacity of the aP vaccine to prevent subclinical infection, offers an alternative explanation for the increased incidence of clinical disease and recurrent outbreaks.

A pediatric randomized, controlled trial of German cockroach subcutaneous immunotherapy.

BACKGROUND: Cockroach allergy contributes to morbidity among urban children with asthma. Few trials address the effect of subcutaneous immunotherapy (SCIT) with cockroach allergen among these at-risk children. OBJECTIVES: We sought to determine whether nasal allergen challenge (NAC) responses to cockroach allergen would improve following 1 year of SCIT. METHODS: Urban children with asthma, who were cockroach-sensitized and reactive on NAC, participated in a year-long randomized double-blind placebo-controlled SCIT trial using German cockroach extract. The primary endpoint was the change in mean Total Nasal Symptom Score (TNSS) during NAC after 12 months of SCIT. Changes in nasal transcriptomic responses during NAC, skin prick test wheal size, serum allergen-specific antibody production, and T-cell responses to cockroach allergen were assessed. RESULTS: Changes in mean NAC TNSS did not differ between SCIT-assigned (n = 28) versus placebo-assigned (n = 29) participants (P = .63). Nasal transcriptomic responses correlated with TNSS, but a treatment effect was not observed. Cockroach serum-specific IgE decreased to a similar extent in both groups, while decreased cockroach skin prick test wheal size was greater among SCIT participants (P = .04). A 200-fold increase in cockroach serum-specific IgG4 was observed among subjects receiving SCIT (P < .001) but was unchanged in the placebo group. T-cell IL-4 responses following cockroach allergen stimulation decreased to a greater extent among SCIT versus placebo (P = .002), while no effect was observed for IL-10 or IFN-γ. CONCLUSIONS: A year of SCIT failed to alter NAC TNSS and nasal transcriptome responses to cockroach allergen challenge despite systemic effects on allergen-specific skin tests, induction of serum-specific IgG4 serum production and down-modulation of allergen-stimulated T-cell responses.

High-resolution African HLA resource uncovers HLA-DRB1 expression effects underlying vaccine response.

How human genetic variation contributes to vaccine effectiveness in infants is unclear, and data are limited on these relationships in populations with African ancestries. We undertook genetic analyses of vaccine antibody responses in infants from Uganda (n = 1391), Burkina Faso (n = 353) and South Africa (n = 755), identifying associations between human leukocyte antigen (HLA) and antibody response for five of eight tested antigens spanning pertussis, diphtheria and hepatitis B vaccines. In addition, through HLA typing 1,702 individuals from 11 populations of African ancestry derived predominantly from the 1000 Genomes Project, we constructed an imputation resource, fine-mapping class II HLA-DR and DQ associations explaining up to 10% of antibody response variance in our infant cohorts. We observed differences in the genetic architecture of pertussis antibody response between the cohorts with African ancestries and an independent cohort with European ancestry, but found no in silico evidence of differences in HLA peptide binding affinity or breadth. Using immune cell expression quantitative trait loci datasets derived from African-ancestry samples from the 1000 Genomes Project, we found evidence of differential HLA-DRB1 expression correlating with inferred protection from pertussis following vaccination. This work suggests that HLA-DRB1 expression may play a role in vaccine response and should be considered alongside peptide selection to improve vaccine design.

SARS-CoV-2 breakthrough infections enhance T cell response magnitude, breadth, and epitope repertoire.

Little is known about the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 or SARS2) vaccine breakthrough infections (BTIs) on the magnitude and breadth of the T cell repertoire after exposure to different variants. We studied samples from individuals who experienced symptomatic BTIs during Delta or Omicron waves. In the pre-BTI samples, 30% of the donors exhibited substantial immune memory against non-S (spike) SARS2 antigens, consistent with previous undiagnosed asymptomatic SARS2 infections. Following symptomatic BTI, we observed (1) enhanced S-specific CD4 and CD8 T cell responses in donors without previous asymptomatic infection, (2) expansion of CD4 and CD8 T cell responses to non-S targets (M, N, and nsps) independent of SARS2 variant, and (3) generation of novel epitopes recognizing variant-specific mutations. These variant-specific T cell responses accounted for 9%-15% of the total epitope repertoire. Overall, BTIs boost vaccine-induced immune responses by increasing the magnitude and by broadening the repertoire of T cell antigens and epitopes recognized.

Enhancement of oleanolic acid concentration through acid hydrolysis of saponin-rich extracts from Chenopodium berlandieri.

The study investigated Chenopodium berlandieri to analyze its oleanolic acid (OA) content. Response surface methodology with central composite design was used to improve saponin extraction, varying temperature, ethanol, and sample-to-solvent ratio. Best conditions (65 °C, 50% ethanol, 1:10 ratio) yielded 53.45 ± 0.63 mg/g of extract from Huauzontle seeds. Temperature linearly impacted extract yield, while temperature and ethanol influenced total saponin content. Hydrolyzing saponin-rich extracts produced OA-rich extracts. Characterization via HPLC-ELSD and LC-MS identified OA4 as the most concentrated OA saponin (5.54 ± 0.16 mg/g). OA alone reached 2.02 ± 0.12 mg/g. Acid hydrolysis increased OA content by up to 3.27×, highlighting the potential of hydrolyzed Huauzontle extracts as a natural ingredient for various industries due to enhanced OA content.

Investigating viral and autoimmune T cell responses associated with post-acute sequelae of COVID-19.

Post-acute sequelae of COVID-19 (PASC), or Long COVID, is a chronic condition following acute SARS-CoV-2 infection. Symptoms include exertion fatigue, respiratory issues, myalgia, and neurological manifestations such as 'brain fog,' posing concern for their debilitating nature and potential role in other neurological disorders. However, the underlying potential pathogenic mechanisms of the neurological complications of PASC is largely unknown. Herein, we investigated differences in antigen-specific T cell responses from the peripheral blood towards SARS-CoV-2, latent viruses, or neuronal antigens in 14 PASC individuals with neurological manifestations (PASC-N) versus 22 individuals fully recovered from COVID-19. We employed Activation Induced Marker (AIM), ICS and FluoroSpot assays to determine the specificity and magnitude of CD4+ and CD8+ T cell responses towards SARS-CoV-2 (Spike and rest of proteome), latent viruses (CMV, EBV), and several neuronal antigens. Overall, we observed similar antigen-specific T cell frequencies and cytokine effector T cell responses between PASC donors compared to recovered controls for all antigens tested (viral or autoantigen) in both CD4+ and CD8+ T cell compartments. Our findings suggest that PASC-N does not appear to be associated with changes in antigen-specific T cell responses towards a subset of disease-relevant targets, but more studies in a larger cohort are needed to confirm these unaltered responses.

A multi-omics systems vaccinology resource to develop and test computational models of immunity.

Systems vaccinology studies have identified factors affecting individual vaccine responses, but comparing these findings is challenging due to varying study designs. To address this lack of reproducibility, we established a community resource for comparing Bordetella pertussis booster responses and to host annual contests for predicting patients' vaccination outcomes. We report here on our experiences with the "dry-run" prediction contest. We found that, among 20+ models adopted from the literature, the most successful model predicting vaccination outcome was based on age alone. This confirms our concerns about the reproducibility of conclusions between different vaccinology studies. Further, we found that, for newly trained models, handling of baseline information on the target variables was crucial. Overall, multiple co-inertia analysis gave the best results of the tested modeling approaches. Our goal is to engage community in these prediction challenges by making data and models available and opening a public contest in August 2024.

T Cell Responses in Pregnant Women Who Received mRNA-Based Vaccination to Prevent COVID-19 Revealed Unknown Exposure to the Natural Infection and Numerous SARS-CoV-2-Specific CD4- CD8- Double Negative T Cells and Regulatory T Cells.

We studied T-cell responses to SARS-CoV-2 in 19 pregnant subjects at different gestational weeks who received three doses of mRNA-based vaccination to prevent COVID-19. SARS-CoV-2 peptide pools were used for T-cell recognition studies: peptides were 15 amino acids long and had previously been defined in COVID-19-convalescent subjects. T-cell activation was evaluated with the AIM assay. Most subjects showed coordinated, spike-specific CD4+ and CD8+ T-cell responses and the development of T cell memory. Non-spike-specific T cells in subjects who were not aware of previous COVID-19 infection suggested a prior undetected, asymptomatic infection. CD4- CD8- double negative (DN) T cells were numerous, of which a percentage was specific for SARS-CoV-2 spike peptides. Regulatory T cells (Treg), both spike- and non-spike-specific, were also greatly expanded. Two Treg populations were defined: a population differentiated from naïve T cells, and pTreg, reverting from pro-inflammatory T cells. The Treg cells expressed CCR6, suggesting homing to the endometrium and vaginal epithelial cells. The pregnant women responded to SARS-CoV-2 vaccination. Asymptomatic COVID-19 was revealed by the T cell response to the non-spike peptides. The numerous DN T cells and Treg pointed our attention to new aspects of the adaptive immune response in vaccine recipients.

Supercritical CO2 extraction of naringenin from Mexican oregano (Lippia graveolens): its antioxidant capacity under simulated gastrointestinal digestion.

A supercritical CO2 method was optimized to recover naringenin-rich extract from Mexican oregano (Lippia graveolens), a flavanone with high antioxidant and anti-inflammatory activity. The effect of the extraction parameters like pressure, temperature, and co-solvent on naringenin concentration was evaluated. We used response surface methodology to optimize the naringenin extraction from oregano; the chemical composition by UPLC-MS of the optimized extract and the effect of simulated gastrointestinal digestion on its antioxidant capacity and total phenolic content were also evaluated. The optimum conditions were 58.4 °C and 12.46% co-solvent (ethanol), with a pressure of 166 bar, obtaining a naringenin content of 46.59 mg/g extract. Also, supercritical optimized extracts yielded high quantities of cirsimaritin, quercetin, phloridzin, apigenin, and luteolin. The results indicated that the naringenin-rich extract obtained at optimized conditions had higher total phenolic content, antioxidant capacity by TEAC and ORAC, and flavonoid content, compared with the methanolic extract, and the simulated gastrointestinal digestion reduced all these values.

Green synthesis trends and potential applications of bimetallic nanoparticles towards the sustainable development goals 2030.

The world faces threats that the United Nations has classified into 17 categories with different objectives as solutions for each challenge that are enclosed in the Sustainable Development Goals (SDGs). These actions involved the widespread use of science and technology as pathways to ensure their implementation. In this regard, sustainability science seeks the research community's contribution to addressing sustainable development challenges. Specifically, nanotechnology has been recognized as a key tool to provide disruptive and effective strategies to reach the SDGs. This review proposes the application of bimetallic nanoparticle substances capable of providing possible solutions to achieve target SDG 3: good health and well-being, SDG 6: clean water and sanitation, and SDG 12: responsible consumption and production. Furthermore, the term green nanotechnology is introduced in each section to exemplify how green synthesized bimetallic nanoparticles have been used to resolve each target SDG. This review also outlines the current scenario regarding the utilization of metallic nanomaterials in the market, together with the upscaling challenges and the lack of understanding of the long-term effects and hazards to the environment regarding bimetallic nanoparticles.

Solid-State Fermented Pineapple Peel: A Novel Food Ingredient with Antioxidant and Anti-Inflammatory Properties.

It has been reported that pineapple (Ananas comosus) contains healthy nutrients and phytochemicals associated with antioxidant and anti-inflammatory capacities. However, a substantial amount of pineapple residue is produced due to a lack of valorization applications at the industrial scale, resulting in the loss of valuable nutrients. Solid-state fermentation (SSF) is proposed as an innovative strategy to enhance the release of bound phenolics from pineapple residues. In this work, the effects of SSF of pineapple peels with Lactobacillus plantarum, Lactobacillus rhamnosus, and Aspergillus oryzae on the release of phenolic compounds and their antioxidant and anti-inflammatory activities were evaluated, respectively. Pineapple peel extracts after SSF showed an increase in the release of phenolic compounds (248.11% with L. plantarum, 182% with A. oryzae, and 180.10% with L. rhamnosus), which led to an increase in the cellular antioxidant (81.94% with L. rhamnosus) and anti-inflammatory potential (nitric oxide inhibition of 62% with L. rhamnosus) compared to non-fermented extracts. Therefore, SSF of pineapple peels with L. plantarum, L. rhamnosus, and A. oryzae thrives as a new approach for the production of secondary metabolites with remarkable biological benefits, which can be the precursors for novel biofortified and nutraceutical-enriched foods that meet the needs of the most demanding and health-conscious consumers.

The MegaPool Approach to Characterize Adaptive CD4+ and CD8+ T Cell Responses.

Epitopes recognized by T cells are a collection of short peptide fragments derived from specific antigens or proteins. Immunological research to study T cell responses is hindered by the extreme degree of heterogeneity of epitope targets, which are usually derived from multiple antigens; within a given antigen, hundreds of different T cell epitopes can be recognized, differing from one individual to the next because T cell epitope recognition is restricted by the epitopes' ability to bind to MHC molecules, which are extremely polymorphic in different individuals. Testing large pools encompassing hundreds of peptides is technically challenging because of logistical considerations regarding solvent-induced toxicity. To address this issue, we developed the MegaPool (MP) approach based on sequential lyophilization of large numbers of peptides that can be used in a variety of assays to measure T cell responses, including ELISPOT, intracellular cytokine staining, and activation-induced marker assays, and that has been validated in the study of infectious diseases, allergies, and autoimmunity. Here, we describe the procedures for generating and testing MPs, starting with peptide synthesis and lyophilization, as well as a step-by-step guide and recommendations for their handling and experimental usage. Overall, the MP approach is a powerful strategy for studying T cell responses and understanding the immune system's role in health and disease. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Generation of peptide pools ("MegaPools") Basic Protocol 2: MegaPool testing and quantitation of antigen-specific T cell responses.

Nursing students' knowledge and attitudes toward older adults.

Nursing students, as the future healthcare workforce, hold immense potential in providing quality care to older adults and becoming advocates for promoting aging and public health, thus contributing significantly to addressing the multifaceted challenges of our aging society. Nurses' knowledge and attitudes about aging affect health care quality. Negative and unattractive representations of the social problems associated with aging contaminate nursing students' attitudes. Nursing schools are challenged to develop new curricula to prepare future nurses for the inherent complexity of an aging society. This study aims to assess the knowledge and attitudes of nursing students toward older adults and identify the variables that can influence these attitudes. Quantitative research was carried out through the application of an online survey using a cross-sectional descriptive research design. A total of 182 nursing students completed the online survey. Progression in the nursing course was statistically significant; the more students advanced, the more positive attitudes and knowledge they revealed about aging; 39% of students have daily contact with their grandparents; however, only 14.8% would like to work with older adults. Multiple linear regression revealed that the most important factor for positive attitudes and knowledge about aging was regular contact with grandparents, followed by progression in the nursing course. The students' age was not a significant factor in improving attitudes or expanding knowledge regarding older adults. In a multidimensional logic, the deepening of knowledge about aging and the socialization of students with older adults are central factors that should reinforce curricula in nursing education.

A systems vaccinology resource to develop and test computational models of immunity.

Computational models that predict an individual's response to a vaccine offer the potential for mechanistic insights and personalized vaccination strategies. These models are increasingly derived from systems vaccinology studies that generate immune profiles from human cohorts pre- and post-vaccination. Most of these studies involve relatively small cohorts and profile the response to a single vaccine. The ability to assess the performance of the resulting models would be improved by comparing their performance on independent datasets, as has been done with great success in other areas of biology such as protein structure predictions. To transfer this approach to system vaccinology studies, we established a prototype platform that focuses on the evaluation of Computational Models of Immunity to Pertussis Booster vaccinations (CMI-PB). A community resource, CMI-PB generates experimental data for the explicit purpose of model evaluation, which is performed through a series of annual data releases and associated contests. We here report on our experience with the first such 'dry run' for a contest where the goal was to predict individual immune responses based on pre-vaccination multi-omic profiles. Over 30 models adopted from the literature were tested, but only one was predictive, and was based on age alone. The performance of new models built using CMI-PB training data was much better, but varied significantly based on the choice of pre-vaccination features used and the model building strategy. This suggests that previously published models developed for other vaccines do not generalize well to Pertussis Booster vaccination. Overall, these results reinforced the need for comparative analysis across models and datasets that CMI-PB aims to achieve. We are seeking wider community engagement for our first public prediction contest, which will open in early 2024.