Arthrospira Platensis Attenuates Endothelial Inflammation and Monocyte Activation.

Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality in industrialized countries. Coronary artery disease (CAD) represents the most prevalent form of cardiovascular disease and remains a leading cause of morbidity, mortality, and long-term disability worldwide. Therefore, the identification of early biomarkers and clarification of the mechanism of action of pharmacological adjuvants is urgently needed.

Modulatory activity of N-palmitoyl-D-glucosamine in bridging gut dysbiosis and pain mechanisms.

Gut dysbiosis, characterized by an imbalance in the composition and function of microbiota, has emerged as a critical factor in the regulation of pain transmission and behavior through the gut-brain axis. When dysbiosis occurs, these regulatory functions are disrupted, leading to systemic inflammation and altered signaling at central nervous system. In this study, we examined the therapeutic potential of palmitoyl glucosamine (PGA), a fatty acid amide with sharp anti-inflammatory properties, in a gut dysbiosis condition induced by antibiotic exposure in male mice.

Fibroblasts activated by miRs-185-5p, miR-652-5p, and miR-1246 shape the tumor microenvironment in triple-negative breast cancer via PATZ1 downregulation.

The intricate interplay between epithelial and fibroblast cells within the tumor microenvironment plays a crucial role in driving triple-negative breast cancer progression. This crosstalk involves the exchange of various signaling molecules, including growth factors, cytokines, extracellular matrix components, and extracellular vesicles. Recently, we demonstrated that triple-negative breast cancer extracellular vesicles carry and release a specific combination of miRs, including miR-185-5p, miR-652-5p, and miR-1246 (from here on, referred as combo-miRs), into normal fibroblasts, effectively reprogramming them into cancer-associated fibroblasts.

Exercise Doppler Echocardiography of the Right Heart and Pulmonary Circulation in Patients With Cardiovascular Risk Factors: Observations From the RIGHT Heart International NETwork (RIGHT-NET).

Background: The precise impact of cardiovascular risk factors (CVRFs) on the right ventricle-pulmonary circulation unit remains unclear.

Research Question: Are there any differences regarding resting and exercise right ventricular function in patients with CVRFs but without overt cardiovascular disease when compared with healthy control patients?

Study Design And Methods: We extracted from the Right Heart International Network international registry the data of 362 patients with at least 1 CVRF but no overt cardiovascular disease, and 375 healthy control patients. All patients and control patients had undergone resting and exercise echocardiographic evaluations on a semirecumbent cycle ergometer.

Virtual cardiac histology: Towards a radiodensitometric characterization of left ventricular cardiac muscle in healthy and pathological conditions.

Background And Objective: Cardiovascular imaging plays a crucial role in disease understanding and case severity. Despite good results in morphological assessment due to an elevated spatial resolution, functional evaluation about cardiac tissue status is still lacking. The aim of the work was to perform a virtual cardiac histology, meaning to characterize cardiac tissue of the left ventricle with Computed Tomography images and use densitometric distribution to detect the presence of cardiac diseases such as acute myocardial infarction and hypertrophic cardiomyopathy.

Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network.

Background And Objective: In recent years, DNA methylation-tumor classification based on artificial intelligence algorithms has led to a notable improvement in diagnostic accuracy compared to traditional machine learning methods. In cancer, the methylation pattern likely reflects both the cell of origin and somatically acquired DNA methylation changes, making this epigenetic modification an ideal tool for tumor classification. We propose an in-depth method based on the Convolutional Neural Network for the DNA methylation-based classification of papillary thyroid carcinoma (PTC) and its follicular (fvPTC) and classical (cvPTC) subtypes.

Investigating the Interactions of Peptide Nucleic Acids with Multicomponent Peptide Hydrogels for the Advancement of Healthcare Technologies.

This study reports the development of peptide-based hydrogels for the encapsulation and controlled release of peptide nucleic acids in drug delivery applications. Ultrashort aromatic peptides, such as Fmoc-FF, self-assemble into biocompatible hydrogels with nanostructured architectures. The functionalization of tripeptides (Fmoc-FFK and Fmoc-FFC) with lysine (K) or cysteine (C) enables electrostatic or covalent interactions with model PNAs engineered with glutamic acid or cysteine residues, respectively.

PCSK9 Inhibitors "Fast Track" Use Versus "Stepwise" Lipid-Lowering Therapy in Patients with Acute Coronary Syndrome: A Retrospective Single-Center Study in a "Real-World" Population.

: The "fast track" addition (within 48 h) of proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) to the optimized oral lipid-lowering therapy (LLT) during hospitalization for acute coronary syndrome (ACS) has been shown to rapidly achieve the low-density lipoprotein cholesterol (LDL-C) therapeutic targets. However, so far, its efficacy in real-world settings remains understudied. : We retrospectively analyzed 128 ACS patients treated at our center, comparing "PCSK9i fast track" use within 48 h to standard "stepwise" LLT.

NAXCARE: a clinical outcome registry for Naxos disease and related cardiocutaneous syndromes.

The NAXCARE (NAXos disease and Cardiocutaneous Assessment and Registry for Evaluation) is a global initiative designed to collect, store, and analyze clinical outcomes data on patients with Naxos disease and related cardiocutaneous syndromes (CCS). This registry aims to fill the gaps in clinical knowledge, enhance treatment approaches, and improve patient outcomes by systematically documenting disease progression, genetic profiles, and patient care pathways. The following methodology outlines the registry's design, data collection protocols, management, security measures, and anticipated contributions to research and clinical practice.

Exercise Echocardiography of Left Ventricular Diastolic Function in Healthy Subjects: Insights From the RIGHT-NET.

Background: Exercise transthoracic Doppler echocardiography (TTE) is considered suggestive of left ventricular (LV) diastolic dysfunction when the ratio of mitral Doppler E to tissue Doppler e' waves is >15 with or without a peak tricuspid regurgitation velocity (TRV) >3.4 m/s. However, these measurements may be affected by exercise intensity.

Feature Selection and Network-Driven Analyses to Unveil Common RNA Signatures in Colon and Pancreatic KRAS-Mutant Cancers.

Background: Colon cancer and pancreatic ductal adenocarcinoma are among the most aggressive tumors for which therapeutic options are limited. Both cancers share common features, such as some KRAS pathogenic variants and common epidemiology. The integration of multidimensional datasets by combining machine learning and bioinformatics approaches could provide deeper insights into the intricate KRAS-related networks underlying cancer progression and unveil novel biomarkers and potential therapeutic targets.

Text mining approach for feature extraction and cartilage disease grade classification using knee MRI radiology reports.

MRI radiology reporting processes can be improved by exploiting structured and semantically labelled data that can be fed to artificial intelligence (AI) tools. AI-based tools assisting radiology reporting can help to automatically individuate cartilage grading in textual magnetic resonance imaging (MRI) reports, thus supporting clinicians' decisions regarding medical imaging utilisation, diagnosis and treatment. In this study, we extracted information (clinical findings, observations, anatomical regions, etc.

Health improvements by understanding residual risk in coronary artery disease and new targets for prevention/treatment: rationale and research protocol of the HURRICANE project.

Optimal medical treatment in patients with stable coronary artery disease (CAD) reduced morbidity and mortality but left a substantial residual risk (RR) of disease progression and events. According to recent evidence, insulin resistance or pre-diabetes together with elevated levels of triglycerides, low levels, and functionality of HDL-cholesterol, often associated with a chronic inflammatory state, are deemed to be relevant components of cardiometabolic and vascular RR. In the present project, we aim at discovering specific individual genetic/molecular profiles subtending emerging cardiometabolic and vascular risk patterns and associated with more severe stable CAD phenotypes.

Implementation of guideline-directed medical therapy in patients with heart failure with reduced ejection fraction (OpTIMa-HF Registry).

Aims: The last released European guidelines on the management of heart failure (HF) recommend in patients with chronic HF with reduced ejection fraction (HFrEF) a pharmacological approach based on four fundamental drugs to be rapidly implemented and then uptitrated to modify disease progression. The aim of the Optimization of Therapy in the Italian Management of Heart Failure (OPTIMA-HF) registry is to collect data on chronic HF outpatients in different settings of care. In the present analysis, we report the first analysis of the OPTIMA-HF registry, focusing on the real-life use of guideline-directed medical therapy in patients affected by HFrEF.

A pulmonary hypertension targeted algorithm to improve referral to right heart catheterization: A machine learning approach.

Background: Pulmonary hypertension (PH) is a pathophysiological problem that may involve several clinical symptoms and be linked to various respiratory and cardiovascular illnesses. Its diagnosis is made invasively by Right Cardiac Catheterization (RHC), which is difficult to perform routinely. Aim of the current study was to develop a Machine Learning (ML) algorithm based on the analysis of anamnestic data to predict the presence of an invasively measured PH.

Role of Blood P-Tau Isoforms (181, 217, 231) in Predicting Conversion from MCI to Dementia Due to Alzheimer's Disease: A Review and Meta-Analysis.

Blood-based biomarkers are minimally invasive tools to detect the pathological changes of Alzheimer's Disease (AD). This meta-analysis aims to investigate the use of blood-derived p-tau isoforms (181, 217, 231) to predict conversion from mild cognitive impairment (MCI) to AD dementia (ADD). Studies involving MCI patients with data on blood p-tau isoforms at baseline and clinical diagnosis at follow-up (≥1 year) were included.

Association of radiomic features with genomic signatures in thyroid cancer: a systematic review.

Background: There is a growing interest on the association of radiomic features with genomic signatures in oncology. Using computational methods, quantitative radiomic data are extracted from various imaging techniques and integrated with genomic information to construct predictive models aimed at advancing diagnostic strategies in cancer patient management. In this context, the aim of this systematic review was to assess the current knowledge on potential application of this association in patients with thyroid cancer (TC).

Aortic Dimension in Elite Athletes: Updated Systematic Review and Meta-Analysis.

Aims: To assess the presence and the extent of an "aortic remodeling" in elite athletes.

Methods: A systematic review and meta-analysis of literature were conducted for studies (1981-2024) reporting echocardiographic aortic diameters of elite athletes compared to non-athlete healthy controls. Among the 5,494 studies retrieved, 21 (9,464 elite athletes vs.

Risk score model to automatically detect prostate cancer patients by integrating diagnostic parameters.

Introduction: Prostate cancer (PCa) is one of the prevailing forms of cancer among men. At present, multiparametric MRI is the imaging method for localizing tumors and staging cancer. Radiomics plays a key role and hold potential for PCa detection, reducing the need for unnecessary biopsies, characterizing tumor aggression, and overseeing PCa recurrence post-treatment.

DeClUt: Decluttering differentially expressed genes through clustering of their expression profiles.

Background And Objective: differential expression analysis is one of the most popular activities in transcriptomic studies based on next-generation sequencing technologies. In fact, differentially expressed genes (DEGs) between two conditions represent ideal prognostic and diagnostic candidate biomarkers for many pathologies. As a result, several algorithms, such as DESeq2 and edgeR, have been developed to identify DEGs.

Are the variations in ECG morphology associated to different blood glucose levels? implications for non-invasive glucose monitoring for T1D paediatric patients.

Aims: Recent clinical trials and real-world studies highlighted those variations in ECG waveforms and HRV recurrently occurred during hypoglycemic and hyperglycemic events in patients with diabetes. However, while several studies have been carried out for adult age, there is lack of evidence for paediatric patients. The main aim of the study is to identify the correlations of variations in ECG Morphology waveforms with blood glucose levels in a paediatric population.

Spinal neuronal activity and neuroinflammatory component in a mouse model of CFA-induced vestibulodynia.

Vestibulodynia is a complex pain disorder characterized by chronic discomfort in the vulvar region, often accompanied by tactile allodynia and spontaneous pain. In patients a depressive behaviour is also observed. In this study, we have used a model of vestibulodynia induced by complete Freund's adjuvant (CFA) focusing our investigation on the spinal cord neurons and microglia.

miR-331-5p Affects Motility of Thyroid Cancer Cell Lines and Regulates BID Expression.

During tumorigenesis, miRNAs with unbalanced expression profiles can increase the threat of disease progression. Here, we focus on the role of miR-331-5p in the pathogenesis of thyroid cancer (TC). In vitro studies were conducted using TC cell lines after the forced expression and silencing of miR-331-5p.

Goat milk extracellular vesicles: Separation comparison of natural carriers for theragnostic application.

Goat milk is a complex biological fluid, which in addition to having a high nutritional value, it is an interesting source of extracellular vesicles (EVs). Despite the countless potential applications that they offer in many biological fields, is not easy to compare the different proposed systems, and this is a major limitation for the real translatability of these natural nanoplatforms for theragnostic purposes. Thus, it is useful to further investigate reproducible methods to separate goat milk EVs.