Epigenetic regulation and post-translational modifications of ferroptosis-related factors in cardiovascular diseases.

As an important element of the human body, iron participates in numerous physiological and biochemical reactions. In the past decade, ferroptosis (a form of iron-dependent regulated cell death) has been reported to contribute to the pathogenesis and progression of various diseases. The stability of iron in cardiomyocytes is crucial for the maintenance of normal physiological cardiac activity.

Habitat-based MRI radiomics to predict the origin of brain metastasis.

Background: This study aims to explore the value of habitat-based magnetic resonance imaging (MRI) radiomics for predicting the origin of brain metastasis (BM).

Purpose: To investigate whether habitat-based radiomics can identify the metastatic tumor type of BM and whether an imaging-based model that integrates the volume of peritumoral edema (VPE) can enhance predictive performance.

Methods: A primary cohort was developed with 384 patients from two centers, which comprises 734 BM lesions.

Should all cervical cancer patients with positive lymph node receive definitive radiotherapy: a population-based comparative study.

Objective: The optimal initial management strategy for cervical cancer with lymph node metastases (LNM) remains a topic of ongoing debate. This study aimed to explore the correlation between surgery followed by postoperative radiotherapy (PORT) and definitive radiotherapy (RT), as well as their impact on the prognosis of patients with LNM.

Methods: Patients with positive lymph nodes (PLNs) in 2009 FIGO stage I-III cervical cancer were selected from SEER database.

Mortality prediction of inpatients with NSTEMI in a premier hospital in China based on stacking model.

Background: Acute myocardial infarction (AMI) remains a leading cause of hospitalization and death in China. Accurate mortality prediction of inpatient is crucial for clinical decision-making of non-ST-segment elevation myocardial infarction (NSTEMI) patients.

Methods: In this study, a total of 3061 patients between January 1, 2017 and December 31, 2022 diagnosed with NSTEMI were enrolled in this study.

A density-based MS disease diagnosis model using the capuchin search algorithm and an ensemble of deep neural networks.

Multiple sclerosis (MS) is a severe brain disease that permanently destroys brain cells, impacting vision, balance, muscle control, and daily activity. This research employs a weighted combination of deep neural networks and optimization techniques for MS disease diagnosis. This method uses slices of magnetic resonance imaging (MRI) images as input.

Impact of menopausal status on cognitive function in female papillary thyroid carcinoma patients: a longitudinal propensity score matched study.

Purpose: Previous research has documented cognitive deficits in survivors of papillary thyroid carcinoma (PTC).Our longitudinal study with large sample size, aims to assess the impact of menopausal status on cognitive function, elucidate related factors of cognitive impairment, and chart the trajectory of cognitive changes over time in female PTC patients.

Methods: In this longitudinal study, we administered the Montreal Cognitive Assessment (MoCA) to 322 female PTC patients over 40 years old, before surgery and at 3 and 6 months after surgery.

Piperlongumine inhibits glioblastoma proliferation by inducing ferroptosis.

Objectives: This study aimed to investigate the effects of Piperlongumine on Glioblastoma multiforme.

Methods: The effects of Piperlongumine on the viability and proliferation of glioma cells LN229 and A172 were measured. Changes in mitochondrial structure were observed.

Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects.

The medical metaverse is a combination of medicine, computer science, information technology and other cutting-edge technologies. It redefines the method of information interaction about doctor-patient communication, medical education and research through the integration of medical data, knowledge and services in a virtual environment. Artificial intelligence (AI) is a discipline that uses computer technology to study and develop human intelligence.

Subcutaneous BNP Injections in Rabbits: A Novel Approach to Mitigate Myocardial Remodeling in Atrial Fibrillation.

Background: Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with increased morbidity and mortality, highlighting the need for novel therapeutic strategies. This study aimed to evaluate the effects of B-type natriuretic peptide (BNP) on cardiac structural remodeling in a rabbit model of AF.

Methods: Rabbits were subjected to rapid pacing to induce an AF model, and BNP was delivered subcutaneously at a dose of 20 μg/kg/d twice per day for three weeks.

Radiomics based on brain-to-tumor interface enables prediction of metastatic tumor type of brain metastasis: a proof-of-concept study.

Background: Early and accurate identification of the metastatic tumor types of brain metastasis (BM) is essential for appropriate treatment and management.

Methods: A total of 450 patients were enrolled from two centers as a primary cohort who carry 764 BMs originated from non-small cell lung cancer (NSCLC, patient = 173, lesion = 187), small cell lung cancer (SCLC, patient = 84, lesion = 196), breast cancer (BC, patient = 119, lesion = 200), and gastrointestinal cancer (GIC, patient = 74, lesion = 181). A third center enrolled 28 patients who carry 67 BMs (NSCLC = 24, SCLC = 22, BC = 10, and GIC = 11) to form an external test cohort.

Emerging role and function of Hippo-YAP/TAZ signaling pathway in musculoskeletal disorders.

Hippo pathway is an evolutionarily conservative key pathway that regulates organ size and tissue regeneration by regulating cell proliferation, differentiation and apoptosis. Yes-associated protein 1 (YAP)/ WW domain-containing transcription regulator 1 (TAZ) serves as a pivotal transcription factor within the Hippo signaling pathway, which undergoes negative regulation by the Hippo pathway. The expression of YAP/TAZ affects various biological processes, including differentiation of osteoblasts (OB) and osteoclasts (OC), cartilage homeostasis, skeletal muscle development, regeneration and quality maintenance.

Nomogram for the Pathological Complete Response After Neoadjuvant Chemotherapy in Muscle-Invasive Bladder Cancer Patients.

Background: No validated instrument currently exists to predict neoadjuvant chemotherapy (NAC) response in muscle-invasive bladder cancer (MIBC) patients. We aim to develop and validate a nomogram based on clinicopathological factors for predicting who would benefit most from NAC.

Methods: Between January 2016 and April 2023, 361 consecutive MIBC patients treated with NAC were enrolled in the study.

Prediction of carotid artery plaque area based on parallel multi-gate attention capture model.

Cardiovascular disease (CVD) is a group of conditions involving the heart or blood vessels and is a leading cause of death and disability worldwide. Carotid artery plaque, as a key risk factor, is crucial for the early prevention and management of CVD. The purpose of this study is to combine clinical application and deep learning techniques to design a predictive model for the carotid artery plaque area.

Serum Albumin-to-Creatinine Ratio Predicts One-Year Mortality in Elderly Patients with Non-ST-Elevation Acute Coronary Syndrome After Percutaneous Coronary Intervention: A Prospective Cohort Analysis.

BACKGROUND Recently, the albumin-to-creatinine ratio (ACR) has been suggested as a valuable biomarker for adverse events in acute myocardial infarction. However, the prognostic value of ACR in very elderly patients (≥80 years) with non-ST-elevation acute coronary syndrome (NSTE-ACS) after percutaneous coronary intervention (PCI) remains unclear. MATERIAL AND METHODS A total of 354 very elderly patients with NSTE-ACS who underwent PCI were included in this study and followed up for 1 year.

Mechanistic studies of tumor-associated macrophage immunotherapy.

Tumor-associated macrophages (TAMs) are present in the tumor microenvironment and can polarize into subtypes with different functions and characteristics in response to different stimuli, classifying them into anti-tumorigenic M1-type and pro-tumorigenic M2-type. The M1-type macrophages inhibit tumor growth through the release of pro-inflammatory cytokines, whereas the M2-type macrophages contribute to tumor progression through the promotion of tumor proliferation, angiogenesis and metastasis. Due to the duality of macrophage effects on tumors, TAMs have been a hot topic in tumor research.

Markers in Identifying Pathological Complete Response Status in Muscle Invasive Bladder Cancer Patients Who Achieved Clinical Complete Response After Neoadjuvant Chemotherapy.

Background: Prior research has demonstrated a discrepancy between pathologic and clinical staging in individuals with muscle-invasive bladder cancer (MIBC) following neoadjuvant chemotherapy (NAC). These findings were the major reasons for the under-usage of the bladder preservation strategy. Hence, we aim to explore the reliable markers in identifying pathological complete response (ypCR) status in MIBC patients who achieved clinical complete response (cCR) after NAC.

Enhancing left ventricular segmentation in echocardiography with a modified mixed attention mechanism in SegFormer architecture.

Echocardiography is a key tool for the diagnosis of cardiac diseases, and accurate left ventricular (LV) segmentation in echocardiographic videos is crucial for the assessment of cardiac function. However, since semantic segmentation of video needs to take into account the temporal correlation between frames, this makes the task very challenging. This article introduces an innovative method that incorporates a modified mixed attention mechanism into the SegFormer architecture, enabling it to effectively grasp the temporal correlation present in video data.

DECNet: Left Atrial Pulmonary Vein Class Imbalance Classification Network.

In clinical practice, the anatomical classification of pulmonary veins plays a crucial role in the preoperative assessment of atrial fibrillation radiofrequency ablation surgery. Accurate classification of pulmonary vein anatomy assists physicians in selecting appropriate mapping electrodes and avoids causing pulmonary arterial hypertension. Due to the diverse and subtly different anatomical classifications of pulmonary veins, as well as the imbalance in data distribution, deep learning models often exhibit poor expression capability in extracting deep features, leading to misjudgments and affecting classification accuracy.

Preventive and therapeutic effect of vitamin D on depression-like behavior in a mouse adolescent depression model and its association with BDNF protein expression.

Introduction: Previous studies in different populations have shown that vitamin D supplementation may reduce depression levels. In adolescents, vitamin D deficiency has been identified as a factor contributing to the onset of depression. This study aimed to establish a model of adolescent depression in mice by using the scientific unpredictable chronic mild stress (UCMS) model and to preliminarily evaluate the effect of vitamin D on the occurrence and development of depression and whether it is related to the protein expression of the BDNF pathway.

Predictive Accuracy Analysis of a Novel Robotic-Assisted System for Total Knee Arthroplasty:A Prospective Observational Study.

Background: Robotic-assisted total knee arthroplasty (RATKA) has been reported to enhance operative decision-making. The purpose of this study was intended to assess the predictive accuracy of bone cuts, lower limb alignment, and component size of a novel system for RATKA preoperatively and intraoperatively.

Methods: Preoperatively planned bone cuts, limb alignment, and component size were projected using a reconstructed 3D model.