Can serum orexin levels be used as a marker in childhood epilepsy?

Objective: Epilepsy is one of the most common neurological diseases in the pediatric population. Orexins are excitatory peptides and associated with energy homeostasis, eating and drinking behaviors, sleep regulation, sleep-wake periods, analgesia, and cognitive activities such as attention, learning, and memory. The aim of this study was to reveal the relationship between plasma orexin levels and seizures in pediatric epilepsy patients with seizures, epilepsy patients in remission, and healthy control group with similar demographic characteristics.

Porous Organic Polymers Incorporating Shape-persistent Cyclobenzoin Macrocycles for Organic Solvent Separation.

The recovery and separation of organic solvents is highly important for the chemical industry and environmental protection. In this context, porous organic polymers (POPs) have significant potential owing to the possibility of integrating shape-persistent macrocyclic units with high guest selectivity.  Here, we report the synthesis of a macrocyclic porous organic polymer (np-POP) and the corresponding model compound by reacting cyclotetrabenzil naphthalene octaketone macrocycle with 1,2,4,5-tetraaminobenzene and 1,2-diaminobenzene, respectively, under solvothermal conditions.

Regorafenib Treatment for Recurrent Glioblastoma Beyond Bevacizumab-Based Therapy: A Large, Multicenter, Real-Life Study.

Background/objectives: In the REGOMA trial, regorafenib demonstrated an overall survival advantage over lomustine, and it has become a recommended treatment for recurrent glioblastoma in guidelines. This study aimed to evaluate the effectiveness and safety of regorafenib as a third-line treatment for patients with recurrent glioblastoma who progressed while taking bevacizumab-based therapy.

Methods: This retrospective, multicenter study in Turkey included 65 patients treated between 2021 and 2023 across 19 oncology centers.

Left ventricular global longitudinal strain in patients treated with immune checkpoint inhibitors.

Background: Immune checkpoint inhibitors (ICI) are generally associated with rare cardiac side effects, yet instances like myocarditis can be fatal. Therefore, detecting and managing left ventricular dysfunction early in ICI therapy is vital.

Objectives: This study aims to evaluate whether left ventricular global longitudinal strain (LV GLS) is a predictor for early detection of cardiac dysfunction in patients receving ICI.

The Prognostic Significance of QTc Prolongation in Lead aVR in Patients with Acute Coronary Syndrome with ST Elevation or Depression.

: In patients with acute coronary syndrome, electrocardiographic parameters, including ST elevation in lead aVR (aVR-STE), ST depression (aVR-STD), and QTc prolongation, are crucial. This study aims to show the predictive value of a longer QTc in emergency department patients with acute coronary syndrome and ≥1 mm ST elevation or depression in the aVR lead in electrocardiography. : A retrospective analysis was conducted on 1273 patients admitted to the emergency department with a preliminary diagnosis of acute coronary syndrome between 2020 and 2023.

Current status, opportunities, and challenges of exosomes in diagnosis and treatment of osteoarthritis.

Osteoarthritis (OA) is a progressive joint disease that is a frequent reason for pain and physical dysfunction in adults, with enormous social and economic burden. Although ongoing scientific efforts in recent years have made considerable progress towards understanding of the disease's molecular mechanism, the pathogenesis of OA is still not fully known, and its clinical challenge remains. Thus, elucidating molecular events underlying the initiation and progression of OA is crucial for developing novel diagnostic and therapeutic approaches that could facilitate effective clinical management of the illness.

Neonatal Intensive Care Nurses' Perceptions of Artificial Intelligence: A Qualitative Study on Discharge Education and Family Counseling.

Objective: This study aims to examine neonatal intensive care unit (NICU) nurses' perceptions of artificial intelligence (AI) technologies, particularly language models, and their impact on nursing practices.

Background: AI is rapidly spreading in healthcare, transforming nursing practice. Understanding the role of AI in NICUs in the discharge process is crucial for understanding nurses' perceptions of these technologies.

Profilin-1 levels in preeclampsia: Associations with disease and adverse neonatal outcomes.

Background: Preeclampsia is a serious pregnancy complication requiring early detection to improve outcomes. Profilin-1 (PFN1), linked to vascular dysfunction, may serve as a biomarker for diagnosing preeclampsia and predicting adverse neonatal outcomes. The aim of this study was to determine the serum Profilin-1 levels in patients diagnosed with preeclampsia and to investigate its association with disease severity and adverse neonatal outcomes.

Can ChatGPT generate surgical multiple-choice questions comparable to those written by a surgeon?

Background: This study aimed to determine whether surgical multiple-choice questions generated by ChatGPT are comparable to those written by human experts (surgeons).

Methods: The study was conducted at a medical school and involved 112 fourth-year medical students. Based on five learning objectives in general surgery (colorectal, gastric, trauma, breast, thyroid), ChatGPT and surgeons generated five multiple-choice questions.

Multi-niche human bone marrow on-a-chip for studying the interactions of adoptive CAR-T cell therapies with multiple myeloma.

Multiple myeloma (MM), a cancer of bone marrow plasma cells, is the second-most common hematological malignancy. However, despite immunotherapies like chimeric antigen receptor (CAR)-T cells, relapse is nearly universal. The bone marrow (BM) microenvironment influences how MM cells survive, proliferate, and resist treatment.

Assessment of canonical diurnal variations in plasma glucose using quantile regression modelling and Chronomaps.

Objectives: Diurnal variation of plasma glucose levels may contribute to diagnostic uncertainty. The permissible time interval, (), was proposed as a time-dependent characteristic to specify the time within which glucose levels from two consecutive samples are not biased by the time of blood collection. A major obstacle is the lack of population-specific data that reflect the diurnal course of a measurand.

High cell throughput, programmable fixation reveals the RNA and protein co-regulation with spatially resolved NFκB pseudo-signaling.

RNA translation to protein is paramount to creating life, yet RNA and protein correlations vary widely across tissues, cells, and species. To investigate these perplexing results, we utilize a time-series fixation method that combines static stimulation and a programmable formaldehyde perfusion to map pseudo-Signaling with Omics signatures (pSigOmics) of single-cell data from hundreds of thousands of cells. Using the widely studied nuclear factor kappa B (NFκB) mammalian signaling pathway in mouse fibroblasts, we discovered a novel asynchronous pseudotime regulation (APR) between RNA and protein levels in the quintessential NFκB p65 protein using single molecule spatial imaging.

Super Resolved Single-Cell Spatial Metabolomics from Multimodal Mass Spectrometry Imaging guided by Imaging Mass Cytometry.

Mass spectrometry imaging (MSI) is a powerful technique for spatially resolved analysis of metabolites and other biomolecules within biological titissues. However, the inherent low spatial resolution of MSI often limits its ability to provide detailed cellular-level information. To address this limitation, we propose a guided super-resolution (GSR) approach that leverages high-resolution Imaging Mass Cytometry (IMC) images to enhance the spatial resolution of low-resolution MSI data.

Spatially resolved subcellular protein-protein interactomics in drug-perturbed lung-cancer cultures and tissues.

Protein-protein interactions (PPIs) regulate signalling pathways and cell phenotypes, and the visualization of spatially resolved dynamics of PPIs would thus shed light on the activation and crosstalk of signalling networks. Here we report a method that leverages a sequential proximity ligation assay for the multiplexed profiling of PPIs with up to 47 proteins involved in multisignalling crosstalk pathways. We applied the method, followed by conventional immunofluorescence, to cell cultures and tissues of non-small-cell lung cancers with a mutated epidermal growth-factor receptor to determine the co-localization of PPIs in subcellular volumes and to reconstruct changes in the subcellular distributions of PPIs in response to perturbations by the tyrosine kinase inhibitor osimertinib.

Spatial patterns of high-risk biomechanical metrics in plaques with abnormal vs. normal physiological flow indices.

Background: Plaques associated with abnormally low physiological flow reserve indices are appropriate for percutaneous coronary intervention (PCI). However, recent trials demonstrate that PCI of ischemia-producing lesions does not reduce major adverse cardiac events (MACE). Low endothelial shear stress (ESS) or high ESS gradient (ESSG) are associated with MACE wherever they occur along the plaque.

Evaluation of prognostic nutritional status and lipid profile in gestational diabetes.

Objectives: This study aimed to investigate the relationship between controlling nutritional status index (CONUT) and prognostic nutrition index (PNI) scores that are used to evaluate nutritional status and GDM. Also, lipid abnormalities and albumin levels in pregnant women with normal glucose tolerance and GDM were researched.

Material And Methods: This study was conducted as a retrospective study at Ankara Etlik City Hospital, Turkey.

Diagnosis Based on Population Data versus Personalized Data: The Evolving Paradigm in Laboratory Medicine.

The diagnosis of diseases is a complex process involving the integration of multiple parameters obtained from various sources, including laboratory findings. The interpretation of laboratory data is inherently comparative, necessitating reliable references for accurate assessment. Different types of references, such as reference intervals, decision limits, action limits, and reference change values, are essential tools in the interpretation of laboratory data.