Soft Modes as a Predictive Framework for Low Dimensional Biological Systems across Scales.

All biological systems are subject to perturbations: due to thermal fluctuations, external environments, or mutations. Yet, while biological systems are composed of thousands of interacting components, recent high-throughput experiments show that their response to perturbations is surprisingly low-dimensional: confined to only a few stereotyped changes out of the many possible. Here, we explore a unifying dynamical systems framework - soft modes - to explain and analyze low-dimensionality in biology, from molecules to eco-systems.

Design, Synthesis, and Anticancer Activity of Drug-like Iron Chelators/G-Quadruplex Binders as Synergic Dual Targeting Agents.

Iron homeostasis is strictly related to numerous physiological pathways including cell cycle progression and cell growth. The newest anticancer strategies focus on either depleting the cells with a suitable chelator or increasing their loading by administering iron complexes to induce ferroptosis. Iron depletion inhibits cell proliferation, while iron overload induces the damage of guanine nucleobases in G-quadruplex structures via ROS generation, leading to genome instability.

Dealing With Environmental Stress: Why Is It Time to Move Towards a New Approach to Depression?

Depression is a complex mental health condition characterized by persistent sadness, loss of interest, and a range of cognitive, emotional, and behavioral symptoms. It can be acute or chronic and is often influenced by a combination of genetic, biological, psychological, and social factors. According to transnational estimates of prevalence, depressive symptoms represent the most concerning challenge to mental health across cultures and beyond geographical borders.

The intEgrated multidiscipliNary pathway for large-scale maNagement of dyslipidemiA in high-risk patients (ENNA) project: Rationale and project design.

Atherosclerotic cardiovascular disease (ASCVD) is a leading cause of morbidity and mortality globally, significantly influenced by modifiable risk factors, particularly hypercholesterolemia. Despite the availability of effective lipid-lowering drugs, achieving the low-density lipoprotein cholesterol (LDL-C) target levels remains a significant challenge in clinical practice, contributing to persistent high rates of cardiovascular events. The intEgrated multidiscipliNary pathway for large-scale maNagement of dyslipidemiA in high-risk patients (ENNA) Project was designed to address the alarming rates of suboptimal lipid management among high and very-high risk patients in the Province of Enna, Sicily.

Humoral and cellular immune response after mRNA SARS-CoV-2 vaccine in children on treatment for cancer: A pilot observational study.

Immunocompromised children are at risk of developing severe COVID-19 infection. We conducted a pilot prospective study to evaluate the impact of cancer treatment and stem cell transplantation on immunogenicity of two doses of BNT162b2 vaccine in pediatric patients. Humoral, B- and T-cell responses to the BNT162b2 vaccine were assessed before, after the first and the second dose in patients aged 5-12 years (n = 35) and in a group of healthy donors (HD, n = 12).

Evaluation of menstrual blood loss (MBL) by self-perception and pictorial methods and correlation to uterine myometrial pathology.

Purpose: Evaluating menstrual blood loss (MBL) in primary healthcare is challenging. Our study aimed to assess MBL using two methods: self-perception and pictograms (Pictorial Blood Assessment Chart-PBAC and Menstrual Pictogram superabsorbent polymer-c version-MP) in women undergoing transvaginal ultrasound (TVS).

Methods: We enrolled 221 premenopausal women with spontaneous menstruation, no hormonal therapy, and no ongoing pregnancy.

"Bridging The Gap" Medical Degree Preparatory Program (EMDP2) Military Students Provide Leadership and Mentorship to Classmates.

Introduction: The lack of adequate diverse representation (racially, socioeconomically, gender, second career applicants, student parents, etc.) within secondary education in the United States has proven to be a challenging and complex, multifaceted problem, and despite ongoing efforts, one that continues to remain unsolved. These disparities are well known and documented at all levels of education.

Predicting intraoperative 5-ALA-induced tumor fluorescence via MRI and deep learning in gliomas with radiographic lower-grade characteristics.

Purpose: Lower-grade gliomas typically exhibit 5-aminolevulinic acid (5-ALA)-induced fluorescence in only 20-30% of cases, a rate that can be increased by doubling the administered dose of 5-ALA. Fluorescence can depict anaplastic foci, which can be precisely sampled to avoid undergrading. We aimed to analyze whether a deep learning model could predict intraoperative fluorescence based on preoperative magnetic resonance imaging (MRI).

Case report: A second case of cerebral cavernous malformation after high-dose chemotherapy for medulloblastoma.

The development of cerebral cavernous malformations (CCMs) is a well-recognized sequela of irradiation to the brain in pediatric tumors, particularly in medulloblastoma, glioma, and acute lymphoblastic leukaemia. So far, only one case of cerebral cavernoma after chemotherapy with autologous hematopoietic stem cell transplantation (HSCT) has been described. We describe a case of a patient with medulloblastoma aged 18 months at the time of oncological diagnosis who was treated with high-dose chemotherapy followed by HSCT and who developed CCM two years later.

Artificial Intelligence in Brain Tumors.

The introduction of "intelligent machines" goes back to Alan Turing in the 1940s. Artificial intelligence (AI) is a broad umbrella covering different methodologies, such as machine learning and deep learning. Deep learning, characterized by multilayered computational models, has revolutionized data representation across various abstraction levels.

Computational Fractal-Based Neurosurgery.

Fractal geometry is a branch of mathematics used to characterize and quantify the geometrical complexity of natural objects, with many applications in different fields, including physics, astronomy, geology, meteorology, finances, social sciences, and computer graphics. In the biomedical sciences, the use of fractal parameters has allowed the introduction of novel morphometric parameters, which have been shown to be useful to characterize any biomedical images as well as any time series within different domains of applications. Specifically, in the neurosciences and neurosurgery, the use of the fractal dimension and other computationally inferred fractal parameters has offered robust morphometric quantitators to characterize the brain in its wholeness, from neurons to the cortical structure and connections, and introduced new prognostic, diagnostic, and eventually therapeutic markers of many diseases of neurosurgical interest, including brain tumors and cerebrovascular malformations, as summarized in this chapter.

Artificial Intelligence Methods.

Artificial intelligence (AI) is at the forefront of driving pivotal changes across diverse fields. AI holds the potential to make profound impacts on addressing contemporary healthcare challenges. This chapter aims to provide an overview of AI methodologies, centering on the foundational principles of various AI techniques, their varied applications, and the challenges that arise within this dynamic field.

Carbon quantum dots in breast cancer modulate cellular migration via cytoskeletal and nuclear structure.

Carbon nanomaterials have been widely applied for cutting edge therapeutic applications as they offer tunable physio-chemical properties with economic scale-up options. Nuclear delivery of cancer drugs has been of prime focus since it controls important cellular signaling functions leading to greater anti-cancer drug efficacies. Better cellular drug uptake per unit drug injection drastically reduces severe side-effects of cancer therapies.

Ethylhexyl triazone sunscreen and its disinfection byproducts obtained after chlorine treatment: Ecofriendliness or ecotoxicity?

In recent years, there has been a growing demand for high-quality sunscreens that combine high efficacy with ecological characteristics. This trend has led to an increased use of triazine compounds, which represent an emerging class of UV filters. While it is well-established that sunscreens can have significant environmental impacts, there is limited data on the degradation of triazine UV filters, despite available information on their environmental persistence, particularly in relation to disinfection processes.

Sensitization of melanoma cells to standard chemotherapy: G-quadruplex binders as synergistic agents.

The use of chemotherapeutics has achieved considerable success in cancer therapy; however, their toxicity can severely impact patients' health. In this study, aiming to reduce the doses and potential side effects of traditional chemotherapeutics, we systematically treated A375MM human melanoma cells with seven clinically approved antineoplastic drugs, in combination with three well-characterized G-quadruplex (G4) ligands, using either simultaneous or sequential dosing schedules. Interestingly, the G4 binders synergized with most of the investigated anticancer drugs, with the degree of synergism being strictly dependent on both the treatment schedule and the drug sequence employed.

Protective Role of Eicosapentaenoic and Docosahexaenoic and Their -Ethanolamide Derivatives in Olfactory Glial Cells Affected by Lipopolysaccharide-Induced Neuroinflammation.

Neuroinflammation is a symptom of different neurodegenerative diseases, and growing interest is directed towards active drug development for the reduction of its negative effects. The anti-inflammatory activity of polyunsaturated fatty acids, eicosapentaenoic (EPA), docosahexaenoic (DHA), and their amide derivatives was largely investigated on some neural cells. Herein, we aimed to elucidate the protective role of both EPA and DHA and the corresponding -ethanolamides EPA-EA and DHA-EA on neonatal mouse Olfactory Ensheathing Cells (OECs) after exposition to lipopolysaccharide (LPS)-induced neuroinflammation.