Laboratory risk assessment of Beauveria bassiana AAD16 on two species of ladybird beetle.

Beauveria bassiana AAD16, isolated from Allomyrina dichotoma, shows promise as a mycoinsecticide against various coleopterans. However, assessing non-target impacts on beneficial beetles like ladybirds is crucial before commercialization. Here we assessed the compatibility between ladybird beetles and B.

Comprehensive analysis of ceRNA Networks in UCEC: Prognostic and therapeutic implications.

Endometrial cancer (UCEC) is the most prevalent gynecological malignancy in high-income countries, and its incidence is rising globally. Although early-stage UCEC can be treated with surgery, advanced cases have a poor prognosis, highlighting the need for effective molecular biomarkers to improve diagnosis and prognosis. In this study, we analyzed mRNA and miRNA sequencing data from UCEC tissues and adjacent non-cancerous tissues from the TCGA database.

Investigating the miRNA-mRNA interactome of human trabecular meshwork cells treated with TGF-β1 provides insights into the pathogenesis of pseudoexfoliation glaucoma.

Pseudoexfoliation glaucoma is a severe form of secondary open angle glaucoma and is associated with activation of the TGF-β pathway by TGF-β1. MicroRNAs (miRNAs) are small non-coding RNA species that are involved in regulation of mRNA expression and translation. To investigate what glaucomatous changes occur in the trabecular meshwork and how these changes may be regulated by miRNAs, we performed a bioinformatics analysis resulting in a miRNA-mRNA interactome.

ISLRWR: A network diffusion algorithm for drug-target interactions prediction.

Machine learning techniques and computer-aided methods are now widely used in the pre-discovery tasks of drug discovery, effectively improving the efficiency of drug development and reducing the workload and cost. In this study, we used multi-source heterogeneous network information to build a network model, learn the network topology through multiple network diffusion algorithms, and obtain compressed low-dimensional feature vectors for predicting drug-target interactions (DTIs). We applied the metropolis-hasting random walk (MHRW) algorithm to improve the performance of the random walk with restart (RWR) algorithm, forming the basis by which the self-loop probability of the current node is removed.

A cross-sectional study on the assessment of adherence to cardiovascular medications in Sudan heart center.

Background: Non-adherence to cardiovascular medications is a global problem with clinical, economic, and humanistic consequences. Investigation of this problem may open the road for proper management of cardiovascular diseases.

Objective: Our objectives were to assess the level of adherence to, and to examine factors influencing adherence to, cardiovascular medications in subjects visiting a heart center in Sudan.

The assessment of routine health information system performance towards improvement of quality of reproductive, maternal, newborn, child and adolescent health services in Ondo and Ekiti States, Nigeria.

Background: Nigeria's reproductive, maternal, newborn, child, and adolescent health indicators have remained unsatisfactory in the face of poor-quality healthcare services. Nigeria initiated the reproductive, maternal, newborn, child, and adolescent, elderly + nutrition (RMNCAEH+N) quality of care (QoC) agenda to address the challenge. The health management information system (HMIS) is integral to the agenda but there is sparse evidence on its performance so far.

In vitro cytotoxicity (irritant potency) of toothpaste ingredients.

Purpose: This study aimed to determine the cytotoxicity (irritant potency) of toothpaste ingredients, of which some had known to have sensitizing properties.

Materials: From the wide variety of toothpaste ingredients, Xylitol, Propylene glycol (PEG), Sodium metaphosphate (SMP), Lemon, Peppermint, Fluoride, Cinnamon, and Triclosan and Sodium dodecyl sulphate (SDS) have been selected for evaluation of their cytotoxic properties.

Methods: Reconstructed human gingiva (RHG) were topically exposed to toothpaste ingredients at different concentrations.

Prevalence and genetic diversity of tick-borne encephalitis virus in ixodid ticks from specific regions of northwestern Russia.

Russia is a country with a high incidence of tick-borne encephalitis (TBE). In northwestern regions of Russia, 110 TBE cases were registered in 2021. The largest numbers of TBE cases were registered in the Arkhangelsk region and St.

AutoPVPrimer: A comprehensive AI-Enhanced pipeline for efficient plant virus primer design and assessment.

Plant viruses pose a significant threat to global agriculture and require efficient tools for their timely detection. We present AutoPVPrimer, an innovative pipeline that integrates artificial intelligence (AI) and machine learning to accelerate the development of plant virus primers. The pipeline uses Biopython to automatically retrieve different genomic sequences from the NCBI database to increase the robustness of the subsequent primer design.

First-line glaucoma monotherapy medication patterns in Finland during 1995-2019 based on a population-based study.

Background: The long-term patterns in first-line glaucoma medication are not well established. Exploring these in longitudinal and population-based settings would provide information for the healthcare systems to plan glaucoma care accordingly.

Objective: To evaluate patterns in first-line glaucoma monotherapy in Finland during 1995-2019 based on nationwide survey and register data.

IL-34 aggravates myocardial ischemia-reperfusion injury by upregulating the HMGB1-IL-17A-IL-6 axis through the JAK signaling pathway.

Interleukin-34 (IL-34) was recently reported to be a new biomarker for atherosclerosis diseases, such as coronary artery disease and vascular dementia. IL-34 regulates the expression of proinflammatory cytokines (IL-17A, IL-1 and IL-6), which are classical cytokines involved in myocardial ischemia‒reperfusion (MI/R) injury. However, the exact role of IL-34 in MI/R remains unknown.

Obesity phenotypes and dyslipidemia in adults from four African countries: An H3Africa AWI-Gen study.

Introduction: The contribution of obesity phenotypes to dyslipidaemia in middle-aged adults from four sub-Saharan African (SSA) countries at different stages of the epidemiological transition has not been reported. We characterized lipid levels and investigated their relation with the growing burden of obesity in SSA countries.

Methods: A cross-sectional study was conducted in Burkina Faso, Ghana, Kenya and South Africa.

Multi-session tDCS over the posterior parietal cortex and associative memory.

Associative memory (AM) plays a crucial role in our ability to link disparate elements of our experiences, yet it is especially vulnerable to age-related decline and pathological conditions. Non-invasive brain stimulation (NIBS), particularly transcranial direct current stimulation (tDCS), has been investigated as a potential intervention to enhance cognitive functions, including AM. Previous tDCS studies yielded inconsistent results, often due to variations in stimulation sites and protocols.

Limited research investigating the value of MRI in predicting future cognitive morbidity in survivors of paediatric brain tumours: A systematic-review and call to action for clinical neuroimaging researchers.

Survivors of pediatric brain tumours are at a high risk of cognitive morbidity. Reliable individual-level predictions regarding the likelihood, degree, and affected domains of cognitive impairment would be clinically beneficial. While established risk factors exist, quantitative MRI analysis may enhance predictive value, above and beyond current clinical risk models.

Comparing imputation approaches to handle systematically missing inputs in risk calculators.

Risk calculators based on statistical and/or mechanistic models have flourished and are increasingly available for a variety of diseases. However, in the day-to-day practice, their usage may be hampered by missing input variables. Certain measurements needed to calculate disease risk may be difficult to acquire, e.

G3BP1 ribonucleoprotein complexes regulate focal adhesion protein mobility and cell migration.

The subcellular localization of mRNAs plays a pivotal role in biological processes, including cell migration. For instance, β-actin mRNA and its associated RNA-binding protein (RBP), ZBP1/IGF2BP1, are recruited to focal adhesions (FAs) to support localized β-actin synthesis, crucial for cell migration. However, whether other mRNAs and RBPs also localize at FAs remains unclear.

Image-guided Interventions for Core Muscle Injury and Other Disorders in the Pubic Symphysis.

Formerly termed or , core muscle injury (CMI) encompasses abnormality of structures within the so-called core, which is essentially the hip, abdomen, and pubis. Compared with data on image-guided procedures of other joints, information regarding procedures performed to address CMI and other disorders of the pubic symphysis is lacking. These procedures can be daunting given the joint's small size, surrounding critical neurovascular structures, and three-dimensional anatomy.

A novel machine learning-based cancer-specific CVD risk score among patients with breast, colorectal, or lung cancer.

Background: Cancer patients have up to a 3-fold higher risk for cardiovascular disease (CVD) than the general population. Traditional CVD risk scores may be less accurate for them. We aimed to develop cancer-specific CVD risk scores and compare them with conventional scores in predicting 10-year CVD risk for patients with breast cancer (BC), colorectal cancer (CRC), or lung cancer (LC).

Plasma proteomics for risk prediction and identification of novel drug targets in systemic lupus erythematosus.

Objectives: The relationship between proteomic profiles and incident systemic lupus erythematosus (SLE) remains unclear. We aimed to identify candidate plasma proteins for SLE risk in women, discover potential treatment targets for SLE, and develop and validate a protein-based prediction model for SLE risk.

Methods: 28 220 women from the UK Biobank were randomly split into training (70%) and testing (30%) sets.

Dynamic reorganization of task-related network interactions in post-stroke aphasia recovery.

Post-stroke aphasia is a network disorder characterized by language impairments and aberrant network activation. While patients with post-stroke aphasia recover over time, the dynamics of the underlying changes in the brain remain elusive. Neuroimaging work demonstrated that language recovery is a heterogeneous process, characterized by varying activation levels in several regions of the left-hemispheric language network and the domain-general bilateral multiple-demand network.

Denosumab withdrawal increases vertebral fracture and mortality risk compared with zoledronate.

Objective: Rebound vertebral fractures (VFs) after Denosumab (Dmab) withdrawal have been documented, highlighting the need for further research into this phenomenon and the importance of a well-planned strategy for discontinuing Dmab.

Methods: From the TriNetX US network, we enrolled osteoporosis patients aged 50 years or older who had withdrawn from at least two doses of Dmab and compared them with a matched cohort who had received at least one dose of zoledronate (ZOL) before discontinuation. We analyzed hazard ratios (HR) with 95% confidence intervals (CI) and conducted Kaplan-Meier analyses, along with subgroup analyses, drug discontinuation modification, and sensitivity analyses.

Bone Health and Linear Growth in Children with Familial Hypoparathyroidism Treated with Human Parathyroid Hormone 1-34.

Context: Our study explores the impact of human PTH 1-34 injections (PTH therapy) on growth, areal bone mineral density (BMD), and bone quality (measured by trabecular bone score, TBS) in hypoparathyroidism due to autoimmune polyendocrine syndrome type 1 (APS-1) or an activating variant of the calcium sensing receptor (CaR).

Objective: To assess associations of 1) age and PTH therapy duration with age-standardized Z-scores for height (HAZ), BMD (BMD-Z), and TBS (TBS-Z) in CaR or APS-1, and 2) APS-1 disease severity with BMD-Z and TBS-Z.

Methods: This secondary analysis pooled linear growth and lumbar spine (LS) DXA data from studies of hypoparathyroidism with mean baseline age of 13.

Long-term Thyroid Outcomes After COVID-19 Vaccination: A Cohort Study of 2,333,496 Patients from the TriNetX Network.

Context: Reports on long-term thyroid dysfunction following COVID-19 vaccination are limited. Understanding the risk of subacute thyroiditis, hyperthyroidism, and hypothyroidism in vaccinated individuals is crucial for post-vaccination monitoring.

Objective: This study evaluated the risk of thyroid dysfunction in COVID-19 vaccinated individuals compared to unvaccinated individuals using a large cohort.

General practice registrar evaluation of long COVID in patients presenting with fatigue.

Background Long COVID is a new and prevalent condition defined by persistent symptoms following acute COVID-19 infection. While increasing resources are being directed to management, there is little evidence on how general practitioners (GPs) have changed their assessment and differential diagnosis of patients with potential long COVID symptoms including fatigue. This study aimed to examine how often GP registrars consider long COVID in patients presenting with fatigue, how often they think long COVID might be the cause for fatigue, and patient, registrar, practice, and consultation factors associated with these outcomes.

Proteomics Reveals Mechanisms of Delayed Keratoconus Progression: A Study of Corneas Following Two Light-Activated Crosslinking Treatments.

Purpose: This study aims to elucidate on changes in biological pathways in rabbit corneas induced by two methods of light-activated corneal stiffening: topical application of riboflavin with dextran (RF-D) or WST11 with dextran (WST-D) followed by ultraviolet A (UVA) or near-infrared (NIR) illumination, respectively.

Methods: Rabbit corneas were mechanically de-epithelialized, then left untreated (N = 3) or treated with either RF-D/UVA (N = 3) or WST-D/NIR (N = 3). After one week, quantitative proteomics was performed on untreated, RF-D/UVA- and WST-D/NIR-treated corneas.