Quantification and profiling of urine cells by integrated cytocentrifugation and infrared spectroscopy.

The presence of cells in urine and in particular White Blood Cells (WBCs) is often associated with Urinary Tract Infections (UTIs) and other diseases. Non-invasive screening of WBCs requires the development of cost-effective point of care diagnostic tools. Infrared (IR) spectroscopy has the potential to identify and quantify cells in urine.

Isolated subsegmental pulmonary embolism identification based on international classification of diseases (ICD)-10 codes and imaging reports.

Background: Isolated subsegmental pulmonary embolism (issPE) is a commonly encountered diagnosis. Although the International Classification of Diseases (ICD)-10 codes are used for research, their validity for identifying issPE is unknown. Moreover, issPE diagnosis is challenging, and the findings from radiology reports may conflict with those from expert radiologists.

Revisiting secondary model features for describing the shoulder and lag parameters of microbial inactivation and growth models.

The Baranyi and Geeraerd models are two of the most reliable models for the description of, respectively, microbial growth and inactivation. They are defined as a system of differential equations, whose algebraic solution can describe the microbial response during isothermal conditions, especially when combined with suitable secondary models. However, there are still large uncertainties regarding the best functions to use as secondary models for the lag phase duration (λ) and the shoulder length (S).

Lung function-associated exposome profile in the era of climate change: Pooled analysis of 8 population-based European cohorts within the EXPANSE project.

Background: The independent and interrelated long-term effects of the exposome such as air pollution, greenness, and ambient temperature on lung function are not well understood, yet relevant in the light of climate change.

Methods: Pre-bronchodilation FEV1 from five mature birth cohorts (N = 4724) and three adult cohorts (N = 6052) from five European countries were used to assess cross-sectional associations with air pollution, greenness, and ambient temperature, assigned to their residential address. All two-way interactions and square terms were a priori included in building the final elastic net regression model.

Cardiac Implications in Dravet Syndrome: Can Electrocardiogram and Echocardiography Detect Hidden Risks?

Background: Dravet syndrome (DS) is a severe developmental and epileptic encephalopathy associated with loss-of-function variants in the SCN1A gene. Although predominantly expressed in the central nervous system, SCN1A is also expressed in the heart, suggesting a potential link between neuronal and cardiac channelopathies. Additionally, DS carries a high risk of sudden unexpected death in epilepsy (SUDEP).

Intake of fruit, vegetables and pulses, and all-cause, cardiovascular and cancer mortality: Results from a population-based prospective study.

Objectives: The aim of this study was to explore the association of fruit, vegetable, and pulses consumption with all-cause, cardiovascular, and cancer mortality.

Study Design: This prospective study included 66,933 individuals from three Spanish health surveys linked to the national death registry up to December 2022.

Methods: Adjusted Poisson regression models were used to analyze the data, categorizing fruit, vegetable and pulses intake according to Spanish dietary recommendations and using splines to examine non-linear relationships.

Evidence-based recommendations for partners and friends of adult survivors of child sexual abuse.

Background: Adult disclosure of child sexual abuse (CSA) is often addressed to partners and friends. The risk of negative reactions is high due to the stigma associated with CSA, however receiving social support is a protective factor. Therefore, educating the environment on how to face disclosure becomes crucial.

Incidental nanoparticle characterisation in industrial settings to support risk assessment modelling.

Research on nanoparticle (NP) release and potential exposure can be assessed through experimental field campaigns, laboratory simulations, and prediction models. However, risk assessment models are typically designed for manufactured NP (MNP) and have not been adapted for incidental NP (INP) properties. A notable research gap is identifying NP sources and their chemical, physical, and toxicological properties, especially in real-world settings.

Association of single nucleotide polymorphisms rs7459185 of the HSPβ1 gene and the risk of hematological toxicity in lung cancer.

Purpose: Hematological toxicities (HTs) in lung cancer (LCa) may compromise the delivery of Radio-Chemotherapy (RTCT), and consequently affect the control of the disease. The aim of this study is to evaluate the association of Single nucleotide polymorphisms (SNPs) with HT.

Material/methods: In this prospective multicentre study, 264 patients with primary LCa treated with RTCT between 2012 and 2018 were included.

Determining the process components of impact assessment in health and social program implementation: A scoping review of theories, models and frameworks.

Objectives: Health and social service research impact analysis play a pivotal role in demonstrating research value. Impact analysis of programs, interventions, or policies in real-world settings is complex. There are many implementation evaluation theories, models, and frameworks (TMF) and researchers find choosing one challenging.

Experiences of midwifery students in caring for pregnancy loss. A phenomenological study.

Aim: To analyze the experiences of midwifery students in the care of pregnancy loss during their training.

Background: The care of pregnancy losses requires the acquisition of very specific non-technical skills by midwifery students. The training received by students about gestational grief requires the use of different methodologies to obtain the required skills.

Bacterial and fungal diversity and species interactions inversely affect ecosystem functions under drought in a semi-arid grassland.

Extreme climatic events, such as drought, can significantly alter belowground microbial diversity and species interactions, leading to unknown consequences for ecosystem functioning. Here, we simulated a drought gradient by removing 30 %, 50 %, and 70 % of precipitation in a semi-arid grassland over five years. We assessed the effects of drought on bacterial and fungal diversity, as well as on their species interactions.

Chloramphenicol glycoside derivative: A way to overcome its antimicrobial resistance and toxicity.

Triggered by the urgent need to tackle the global crisis of multidrug-resistant bacterial infections, in this work, we present a way to overcome chloramphenicol resistance by introducing modifications based on the glycosylation of its hydroxyl groups. The synthesized derivatives demonstrate complete resistance to the action of recombinant chloramphenicol acetyltransferase (CAT) from Escherichia coli and efficacy against methicillin-resistant Staphylococcus aureus (MRSA), Escherichia coli ESBL, and Pseudomonas aeruginosa ATCC 27853. Glycosylation gives chloramphenicol an additional advantage - the stable glycosidic form is less toxic to human dermal fibroblasts and has significantly better water solubility than non-glycosylated chloramphenicol.

Parenthood, gender, and turning points to crime for young people in Latin America.

In very different societal contexts, parenthood has been identified as a critical turning point in life course trajectories. In this qualitative study, we explore parenthood as a turning point for 40 young women and 40 young men in prisons across Latin America. We study the impact of parenthood on criminal trajectories, identify gender differences, and analyze the different mechanisms at work.

Direct analysis of engineered iron nanotubes and platinum nanorods: A challenge for single particle inductively coupled plasma mass spectrometry.

The use of inductively coupled plasma mass spectrometry in single particle mode (SP-ICP-MS) for the characterization of micro and nanostructured materials is a growing field of research. In this work, the possibility of expanding the boundaries to anisotropic structures including solid Pt-nanorods and hollowed FeO-nanotubes is presented. The obtained structures are evaluated by scanning electron microscopy (SEM), high-resolution electron microscopy (HR-TEM) and SP-ICP-MS techniques.

Assessment of antibiotic resistance and virulence in Escherichia coli strains isolated from poultry in Spain.

Colibacillosis is a disease caused by avian pathogenic Escherichia coli (APEC) isolates which results in significant morbidity and mortality in poultry, as well as in economic loses. In order to identify APEC strains in a population of 898 E. coli isolates from poultry samples collected from different avian flocks located in the Valencian Region, Spain, we analysed the most significantly related to highly-pathogenic colibacillosis virulence-associated genes (VAGs) (hlyF, iroN, iss, iutA and ompT) by multiplex real-time polymerase chain reaction (RT-PCR).

Ledged Beam Walking Test Automatic Tracker: Artificial intelligence-based functional evaluation in a stroke model.

The quantitative evaluation of motor function in experimental stroke models is essential for the preclinical assessment of new therapeutic strategies that can be transferred to clinical research; however, conventional assessment tests are hampered by the evaluator's subjectivity. We present an artificial intelligence-based system for the automatic, accurate, and objective analysis of target parameters evaluated by the ledged beam walking test, which offers higher sensitivity than the current methodology based on manual and visual counting. This system employs a residual deep network model, trained with DeepLabCut (DLC) to extract target paretic hindlimb coordinates, which are categorized to provide a ratio measurement of the animal's neurological deficit.

How Painful are Lumbar Hernias? A Comprehensive Review of Intervention Strategies.

Purpose Of Review: Low back pain (LBP) is considered an important issue of public health, with annual prevalence estimations almost achieving 60% of the worldwide population. Available treatments have a limited impact on this condition, although they allow to alleviate pain and recover the patient's quality of life. This review aims to go deeper on the understanding of this condition, providing an updated, brief, and concise whole picture of this common musculoskeletal problem.

SABR tolerance after prostatectomy: pushing the boundaries of ultrahypofractionation.

Objective: To evaluate the feasibility and tolerance of ultra-hypofractionated SABR (stereotactic ablative radiation therapy) protocol following radical prostatectomy.

Patients And Methods: We included patients undergoing adjuvant or salvage SABR between April 2019 and April 2023 targeting the surgical bed and pelvic lymph nodes up to a total dose of 36.25 Gy (7.

Development of Attention-based Prediction Models for All-cause Mortality, Home Care Need, and Nursing Home Admission in Ageing Adults in Spain Using Longitudinal Electronic Health Record Data.

Predicting health-related outcomes can help with proactive healthcare planning and resource management. This is especially important on the older population, an age group growing in the coming decades. Considering longitudinal rather than cross-sectional information from primary care electronic health records (EHRs) can contribute to more informed predictions.

Usefulness of urinary biomarker-based risk score and multiparametric MRI for clinically significant prostate cancer detection in biopsy-naïve patients.

Objectives: This study aimed to investigate the accuracy of multiparametric magnetic resonance imaging (mpMRI), genetic urinary test (GUT), and prostate cancer prevention trial risk calculator version 2.0 (PCPTRC2) for the clinically significant prostate cancer (csPCa) diagnostic in biopsy-naïve patients.

Materials And Methods: In a single center study between 2021 and 2024 participants underwent prostate mpMRI, GUT, and ultrasound (US) guided biopsy.

Epidemiology of metabolic syndrome.

The global increase of overweight and obesity in children and adults is one of the most prominent public health threats, often accompanied by insulin resistance, hypertension, and dyslipidemia. The simultaneous occurrence of these health problems is referred to as metabolic syndrome. Various criteria have been proposed to define this syndrome, but no general consensus on the specific markers and the respective cut-offs has been achieved yet.

Nitro-fatty acids modulate germination onset through S-nitrosothiol metabolism.

-Nitro-fatty acids (NO2-FAs) have emerged as key components of nitric oxide (NO) signalling in eukaryotes. We previously described how nitro-linolenic acid (NO2-Ln), the major NO2-FA detected in plants, regulates S-nitrosoglutathione (GSNO) levels in Arabidopsis (Arabidopsis thaliana). However, the underlying molecular mechanisms remain undefined.

Unveiling the role of miRNAs in Diminished Ovarian Reserve: an in silico network approach.

MicroRNAs (miRNAs) have acquired an increased recognition to unravel the complex molecular mechanisms underlying Diminished Ovarian Reserve (DOR), one of the main responsible for infertility. To investigate the impact of miRNA profiles in granulosa cells and follicular fluid, crucial players in follicle development, this study employed a computational network theory approach to reconstruct potential pathways regulated by miRNAs in granulosa cells and follicular fluid of women suffering from DOR. Available data from published research were collected to create the FGC_MiRNome_MC, a representation of miRNA target genes and their interactions.

Genetic and species rearrangements in microbial consortia impact biodegradation potential.

Genomic reorganisation between species and horizontal gene transfer have been considered the most important mechanism of biological adaptation under selective pressure. Still, the impact of mobile genes in microbial ecology is far from being completely understood. Here we present the collection and characterisation of microbial consortia enriched from environments contaminated with emerging pollutants, such as non-steroidal anti-inflammatory drugs.