Sympathetic nerve signaling rewires the tumor microenvironment: a shift in "microenvironmental-ity".

Nerve signaling within the tumor microenvironment (TME) plays a critical role in the initiation, progression, and metastasis of solid tumors. Due to their highly responsive behavior and activation upon injury and cancer onset, this review specifically focuses on how sympathetic nerves rewire the TME. Within tumors, sympathetic nerves closely interact with various TME components, and their combined signaling often shifts tumor-intrinsic physiology toward tumor-supportive phenotypes.

AxonFinder: Automated segmentation of tumor innervating neuronal fibers.

Neurosignaling is increasingly recognized as a critical factor in cancer progression, where neuronal innervation of primary tumors contributes to the disease's advancement. This study focuses on segmenting individual axons within the prostate tumor microenvironment, which have been challenging to detect and analyze due to their irregular morphologies. We present a novel deep learning-based approach for the automated segmentation of axons, AxonFinder, leveraging a U-Net model with a ResNet-101 encoder, based on a multiplexed imaging approach.

Factors related to the decision to perform synchronized cardioversion for supraventricular tachyarrhythmias by prehospital emergency medical services workers.

Background: While clinical indicators for synchronized cardioversion in regular supraventricular tachycardias are well-established, their application by prehospital emergency medical services (EMS) still needs to be explored.

Objective: The purpose of this study was to evaluate the factors influencing the decision-making process of prehospital EMS personnel to perform synchronized cardioversion in adults with narrow QRS regular tachyarrhythmias.

Methods: This descriptive study included 598 paramedics actively engaged in prehospital EMS.

Evaluation of the association of mucosa-associated invariant T (MAIT) cells with childhood asthma.

Background/aim: Innate-like T lymphocytes are a recently defined group of T cells comprising mainly mucosa-associated invariant T (MAIT) cells. The relationship between MAIT cells and childhood asthma is controversial. In this study, we aimed to determine the role of MAIT cells in patients with allergic asthma (AA) and nonallergic asthma (NAA).

UniFORM: Towards Universal Immunofluorescence Normalization for Multiplex Tissue Imaging.

Multiplexed tissue imaging (MTI) technologies enable high-dimensional spatial analysis of tumor microenvironments but face challenges with technical variability in staining intensities. Existing normalization methods, including z-score, ComBat, and MxNorm, often fail to account for the heterogeneous, right-skewed expression patterns of MTI data, compromising signal alignment and downstream analyses. We present UniFORM, a non-parametric, Python-based pipeline for normalizing both feature- and pixel-level MTI data.

Emotional and Behavioral Impacts of the February 6, 2023 Earthquake on Children with Autism Spectrum Disorder: An Evaluation from the Parental Perspective.

Purpose: Earthquakes have serious psychosocial and emotional effects on children diagnosed with autism spectrum disorder (ASD) and their parents. The limited number of studies investigating the earthquake experience of children with ASD and their parents indicates a need to improve existing research in this area. The aim of this study was to assess parents' experiences with their children after the earthquake and their reactions to the earthquake.

The Spiritual Psychological Robustness Scale (SPRS): A New Measure for Assessing Spiritual and Psychological Strength in the Context of Turkish Culture.

This study introduces the spiritual psychological resilience scale (SPRS), a newly developed instrument designed to assess the integration of spiritual beliefs with psychological resilience in the Turkish context. The scale assesses the manner in which individuals draw upon spiritual resources to cope with adversity and maintain psychological well-being. Exploratory and confirmatory factor analyses identified a three-factor structure.

Which vacuum phenomenon is more predictive for future junctional disorders?: Intradiscal or Intrafacet?

Recent spine studies focused on identifying whether intradiscal vacuum phenomenon (VP) was associated with spinal instability. However, none of them reported a direct association between VP and spinal instability following fusion for degenerative lumbar spine disorders (DSDs), namely junctional disorders. In the present study, we aimed to evaluate whether the VP was predictive for junctional disorders in patients who underwent short-segment lumbar decompression and fusion for DSDs at a tertiary spine center.

AxonFinder: Automated segmentation of tumor innervating neuronal fibers.

Neurosignaling is increasingly recognized as a critical factor in cancer progression, where neuronal innervation of primary tumors contributes to the disease's advancement. This study focuses on segmenting individual axons within the prostate tumor microenvironment, which have been challenging to detect and analyze due to their irregular morphologies. We present a novel deep learning-based approach for the automated segmentation of axons, AxonFinder, leveraging a U-Net model with a ResNet-101 encoder, based on a multiplexed imaging approach.

Multiplex imaging of localized prostate tumors reveals altered spatial organization of AR-positive cells in the microenvironment.

Mapping the spatial interactions of cancer, immune, and stromal cell states presents novel opportunities for patient stratification and for advancing immunotherapy. While single-cell studies revealed significant molecular heterogeneity in prostate cancer cells, the impact of spatial stromal cell heterogeneity remains poorly understood. Here, we used cyclic immunofluorescent imaging on whole-tissue sections to uncover novel spatial associations between cancer and stromal cells in low- and high-grade prostate tumors and tumor-adjacent normal tissues.

Comparison of Percutaneous Core Needle Biopsy Results in Patients Who Previously Underwent Open and Robot-Assisted Kidney Transplantation.

The objective of this study was to investigate the safety and efficacy of percutaneous graft biopsy, specifically in patients who have undergone robotic kidney transplantation, a topic that has received limited attention in the existing literature. While percutaneous graft biopsy is well established in patients who have undergone open transplantation, its application in robotic transplantation remains relatively unexplored. A retrospective analysis was conducted on patient records spanning from 2013 to 2024, focusing on those who underwent graft biopsy due to acute graft dysfunction.

Oligo cyc-DEP: On-chip cyclic immunofluorescence profiling of cell-derived nanoparticles.

We present a follow-on technique for the cyclic-immunofluorescence profiling of suspension particles isolated using dielectrophoresis. The original lab-on-chip technique ("cyc-DEP" [cyclic immunofluorescent imaging on dielectrophoretic chip]) was designed for the multiplex surveillance of circulating biomarkers. Nanoparticles were collected from low-volume liquid biopsies using microfluidic dielectrophoretic chip technology.

Effect of access sheath diameter used in percutaneous nephrolithotomy on renal function: a prospective randomized study.

We aimed to determine the effect of the access sheath diameter used in percutaneous nephrolithotomy (PNL) on renal function. We also investigated the predictors of impaired renal function. Data were prospectively collected from patients who underwent PNL from December 2020 to December 2021.

Classification of Periapical and Bitewing Radiographs as Periodontally Healthy or Diseased by Deep Learning Algorithms.

Objectives The aim of this artificial intelligence (AI) study was to develop a deep learning algorithm capable of automatically classifying periapical and bitewing radiography images as either periodontally healthy or unhealthy and to assess the algorithm's diagnostic success. Materials and methods The sample of the study consisted of 1120 periapical radiographs (560 periodontally healthy, 560 periodontally unhealthy) and 1498 bitewing radiographs (749 periodontally healthy, 749 periodontally ill). From the main datasets of both radiography types, three sub-datasets were randomly created: a training set (80%), a validation set (10%), and a test set (10%).

Erector spinae could be the game changer in surgical decision-making in patients with lumbar spondylolisthesis: a cross-sectional analysis of an age-, sex-, subtype-, level-matched patients with similar spinopelvic parameters received surgical or conservative management.

Purpose: In this study we aimed to identify whether paraspinal muscle morphology could play a role in surgical decision-making in patients with lumbar spondylolisthesis.

Methods: We conducted a cross-sectional analysis of a prospectively collected database between January 2013 and May 2023. Consecutive women and men, who visited our outpatient clinics with chronic LBP, neurogenic claudication, and had lumbar spine magnetic resonance imaging (MRI) for their complaints were included into the preliminary dataset.

Comparison of oncological and functional results of robotic and open perineal radical prostatectomy.

Objective: We aimed to compare the functional and oncological outcomes of patients who underwent open perineal radical prostatectomy (OPP) and robotic perineal radical prostatectomy (RPP) for prostate cancer (PCa).

Methods: The data of patients who underwent OPP and RPP from June 2016 to February 2019 due to localized PCa were analyzed. Demographic characteristics, perioperative data and oncological results of the patients were recorded.

Using Cluster Analysis to Identify Metabolic Syndrome Components and Physical Fitness in Patients with Metabolic Syndrome.

Metabolic syndrome (MetS) comprises a cluster of cardiovascular risk factors. Physical inactivity and reduced physical fitness are associated with one or more components of MetS. However, MetS has many components, and the unclear relationship between the components and physical fitness parameters can provide a plain and straightforward understanding of the clustering method.

Inflammation indexes and machine-learning algorithm in predicting urethroplasty success.

Purpose: To assess the predictive capability of hematological inflammatory markers for urethral stricture recurrence after primary urethroplasty and to compare traditional statistical methods with a machine-learning-based artificial intelligence algorithm.

Materials And Methods: Two hundred eighty-seven patients who underwent primary urethroplasty were scanned. Ages, smoking status, comorbidities, hematological inflammatory parameters (neutrophil-lymphocyte ratios, platelet-lymphocyte ratios [PLR], systemic immune-inflammation indexes [SII], and pan-immune-inflammation values [PIV]), stricture characteristics, history of previous direct-visual internal urethrotomy, urethroplasty techniques, and grafts/flaps placements were collected.

The Relationship of Coronary Thrombus Burden and Anticoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Score in Patients With ST-Segment Elevation Myocardial Infarction.

Background: The anticoagulation and risk factors in atrial fibrillation (ATRIA) score is associated with adverse cardiovascular events. However, its relationship with coronary thrombus burden is unclear. Therefore, we aimed to investigate the relationship between the ATRIA score and thrombus burden in patients with ST-segment elevation myocardial infarction (STEMI) who underwent percutaneous coronary intervention (PCI).