The use of lung ultrasonography to evaluate extravascular lung water and its consequences has received growing attention in different clinical areas, including, in recent years, end-stage renal disease patients treated by haemodialysis (HD). Lung congestion is a direct consequence of either overall overhydration and/or cardiac dysfunction, but the exact contribution of each of these tests to mortality is unknown. In this prospective observational study, we enrolled 96 patients from a single HD unit undergoing thrice weekly HD. We used three different methods of evaluation: lung ultrasonography (pre- and post-dialysis), bioimpedance spectroscopy (pre- and post-dialysis) and echocardiography (pre-dialysis). The objective of the study was to test for the first time the prognostic value of ultrasound lung comets (ULC) combined with bioimpedance-derived data [total body water (TBW), extravascular water, hydration status—ΔHS] and several echocardiographic parameters. Mortality was analysed after a median of 405.5-day follow-up. Pre-dialysis lung congestion was classified as moderate (ULC = 16–30) in 19.8% of the patients and severe in 12.5% of patients (ULC > 30), while only 19.8% appear to be hyperhydrated (ΔHS > 15%). The pre-dialysis ultrasound lung congestion score correlated significantly with all of the bioimpedance-derived parameters. In a multivariate Cox model that included ULC score, demographic, ecocardiographic and bioimpedance parameters, the factors that remained significantly associated with survival time were the pre-dialysis ULC score and left ventricular mass index. The pre-HD ULC score has a significant discriminating power for survival, while the bioimpedance-derived hydration status has no discriminatory abilities in terms of survival. To our knowledge, this study is the first one that compares three different strategies to predict mortality in haemodialysed patients. The lung comet score emerged as the best predictor for the relationship hydration status—mortality, independently of bioimpedance-derived parameters in this population.

In modern clinical practice, digital pathology has an essential role, being a technological necessity for the activity in the pathological anatomy laboratories. The development of information technology has majorly facilitated the management of digital images and their sharing for clinical use; the methods to analyze digital histopathological images, based on artificial intelligence techniques and specific models, quantify the required information with significantly higher consistency and precision compared to that provided by optical microscopy. In parallel, the unprecedented advances in machine learning facilitate, through the synergy of artificial intelligence and digital pathology, the possibility of diagnosis based on image analysis, previously limited only to certain specialties. Therefore, the integration of digital images into the study of pathology, combined with advanced algorithms and computer-assisted diagnostic techniques, extends the boundaries of the pathologist’s vision beyond the microscopic image and allows the specialist to use and integrate his knowledge and experience adequately. We conducted a search in PubMed on the topic of digital pathology and its applications, to quantify the current state of knowledge. We found that computer-aided image analysis has a superior potential to identify, extract and quantify features in more detail compared to the human pathologist’s evaluating possibilities; it performs tasks that exceed its manual capacity, and can produce new diagnostic algorithms and prediction models applicable in translational research that are able to identify new characteristics of diseases based on changes at the cellular and molecular level.

Mesenchymal stem cells (MSCs) have emerged as a relevant strategy in regenerative medicine due to their multipotent differentiation capacity, immunomodulatory properties, and therapeutic applications in various medical fields. This review explores the therapeutic use of MSCs, focusing on their role in treating autoimmune disorders and neoplastic diseases and in tissue regeneration. We discuss the mechanisms underlying MSC-mediated tissue repair, including their paracrine activity, migration to injury sites, and interaction with the immune system. Advances in cellular therapies such as genome engineering and MSC-derived exosome treatments further enhance their applicability. Key methodologies analyzed include genomic studies, next-generation sequencing (NGS), and bioinformatics approaches to optimize MSC-based interventions. Additionally, we reviewed preclinical and clinical evidence demonstrating the therapeutic potential of MSCs in conditions such as graft-versus-host disease, osteoarthritis, liver cirrhosis, and neurodegenerative disorders. While promising, challenges remain regarding standardization, long-term safety, and potential tumorigenic risks associated with MSC therapy. Future research should focus on refining MSC-based treatments to enhance efficacy and minimize risks. This review underscores the need for large-scale clinical trials to validate MSC-based interventions and fully harness their therapeutic potential.

The high energy of α emitters, and the strong linear energy transfer that goes along with it, lead to very efficient cell killing through DNA damage. Moreover, the degree of oxygenation and the cell cycle state have no impact on these effects. Therefore, α radioisotopes can offer a treatment choice to individuals who are not responding to β− or gamma-radiation therapy or chemotherapy drugs. Only a few α-particle emitters are suitable for targeted alpha therapy (TAT) and clinical applications. The majority of available clinical research involves ²²⁵Ac and its daughter nuclide ²¹³Bi. Additionally, the ²²⁵Ac disintegration cascade generates γ decays that can be used in single-photon emission computed tomography (SPECT) imaging, expanding the potential theranostic applications in nuclear medicine. Despite the growing interest in applying ²²⁵Ac, the restricted global accessibility of this radioisotope makes it difficult to conduct extensive clinical trials for many radiopharmaceutical candidates. To boost the availability of ²²⁵Ac, along with its clinical and potential theranostic applications, this review attempts to highlight the fundamental physical properties of this α-particle-emitting isotope, as well as its existing and possible production methods.

Antioxidant defense of the body is assured by both endogenous and exogenous factors comprising several enzymes, vitamins, protein components and derivates and oligoelements. Breast milk has been proven to have important and essential antioxidant composition to prevent and protect against diseases in infancy. The objective of this study was to determine the total antioxidant status (TAS) of human milk and to evaluate the differences between premature milk and term milk at different moments of lactation (colostrum, transitional milk and mature milk). A second objective was to evaluate how TAS varies whether the human milk is refrigerated or frozen. Pumped human milk samples of the third, seven and 30th day were collected from women who had term deliveries (30 cases) and preterm deliveries (60 cases). Samples were refrigerated (+4 °C) or frozen in domestic conditions (-20 °C) for various durations and TAS was determined using the ABTS® technique with Randox® reagents and compared for the two groups. Higher values were found in term versus preterm fresh milk at 30 days of lactation. A slight reduction in TAS was found after 72 h of refrigeration, while 1 week freezing produced significant decrease of total antioxidants. Freezing for 12 weeks reduced more than 50% of TAS in fresh milk. Breastfeeding provides the optimal antioxidant for neonates, regardless of gestational age. Fresh milk has the higher antioxidant power. When it is not available, refrigerated milk for 24 h is better than for 72 h and preferable than frozen milk. Freezing human milk for 3 months in household conditions markedly diminishes TAS.