The complex pathophysiology of chronic rhinosinusitis with nasal polyps (CRSwNP) generates a spectrum of phenotypes with a wide variety of inflammatory states. We enrolled 44 very-likely-to-be type 2 CRSwNP patients in order to evaluate the load of inflammation and to analyze human interleukins in nasal secretion. Clinical data were collected to evaluate the severity of the disease. High levels of IL-5, IL-4, IL-6, and IL-33 were detected in all type 2 CRSwNP patients. By analyzing type 2 cytokine profiles and local eosinophil count, we identified two coherent clusters: the first was characterized by high levels of IL-4, IL-5, IL-6, and a high-grade eosinophil count (type 2-high); the second had lower levels of cytokines and poor or absent eosinophilic inflammation (type-2 low). IL-5 levels were significantly higher within the type 2 cytokine and it was the most reliable biomarker for differentiating the two clusters. In type 2-high inflammatory profile clinical scores, the mean number of previous surgeries and need for systemic corticosteroids were significantly higher compared to type 2-low. Our research demonstrated the potential role of type 2 biomarkers, and in particular, of IL-5 in identifying patients with a more severe phenotype based on a high inflammatory load.

Red blood cell (RBC) transfusions in preterm neonates are associated with retinopathy of prematurity (ROP). BORN is a multicenter randomized trial investigating whether RBC transfusions from cord blood (CB-RBCs) instead of adult donors (A-RBCs) reduce ROP severity (NCT05100212). The study was conducted between December 2021 and November 2024 in 8 hospitals sited in 8 different Italian regions. Extremely low gestational age neonates (ELGANs) were randomized 1:1 to receive A-RBCs (control) or CB-RBCs (intervention) from birth to postmenstrual age (PMA) of 29 + 6 weeks. The main outcome was severe-ROP rate at 40 weeks PMA or discharge. By intention-to-treat-analysis, 56 patients per arm were evaluated: 16 in the control arm and 14 in the intervention arm developed severe ROP (28·6% versus 25·0%, risk difference [RD] −0·03 [95% CI −0·21% to 0·14%]; P = 0·831). Twenty-four (42·8%) patients in the intervention arm received also A-RBCs. Per-protocol-analysis included those patients receiving exclusively the assigned treatment, consisting of 38 ELGANs in the control arm and 17 in the intervention arm, with comparable characteristics. Thirteen ELGANs in the control arm developed severe ROP, and 10 required ROP treatment whilst no patients in the intervention arm developed severe ROP or treatment-requiring ROP (34·2% versus 0%, RD −0·34 [95% CI −0·51% to −0·07%] for severe ROP, P = 0·005, and 26·3% versus 0%, RD −0·28 [95% CI −0·46% to −0·02%] for treatment-requiring ROP, P = 0·022). Twenty-four patients in the control arm and 5 in the intervention arm developed moderate/severe BPD (63·2% versus 29·4%, RD −0·33 [95% CI −0·56% to −0·02%], P = 0·039). CB-RBCs may protect ELGANs from severe forms of ROP and BPD. Funded by Fresenius HemoCare Italia SRL (Prot. N 0038762/21-04/11/2021; grant number 5800134-FPG).

Volatile organic compounds (VOCs) are a differentiated class of molecules, continuously generated in the human body and released as products of metabolic pathways. Their concentrations vary depending on pathophysiological conditions. They are detectable in a wide variety of biological samples, such as exhaled breath, faeces, and urine. In particular, urine represents an easily accessible specimen widely used in clinics. The most used techniques for VOCs detections are expensive and time-consuming, thus not allowing for rapid clinical analysis. In this perspective, the aim of this study is a comprehensive characterisation of the urine volatilome by the development of an alternative rapid analytical method. Briefly, 115 urine samples are collected; sample treatment is not needed. VOCs are detected in the urine headspace using gas chromatography coupled to ion mobility spectrometry (GC–IMS) by an extremely fast analysis (10 min). The method is analytically validated; the analysis is sensitive and robust with results comparable to those reported with other techniques. Twenty-three molecules are identified, including ketones, aldehydes, alcohols, and sulphur compounds, whose concentration is altered in several pathological states such as cancer and metabolic disorders. Therefore, it opens new perspectives for fast diagnosis and screening, showing great potential for clinical applications.

The lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) promotes growth and progression in prostate cancer (PCa); however, little is known about its possible impact in PCa metabolism. The aim of this work has been the assessment of the metabolic reprogramming associated with MALAT1 silencing in human PCa cells and in an ex vivo model of organotypic slice cultures (OSCs). Cultured cells and OSCs derived from primary tumors were transfected with MALAT1 specific gapmers. Cell growth and survival, gene profiling, and evaluation of targeted metabolites and metabolic enzymes were assessed. Computational analysis was made considering expression changes occurring in metabolic markers following MALAT1 targeting in cultured OSCs. MALAT1 silencing reduced expression of some metabolic enzymes, including malic enzyme 3, pyruvate dehydrogenase kinases 1 and 3, and choline kinase A. Consequently, PCa metabolism switched toward a glycolytic phenotype characterized by increased lactate production paralleled by growth arrest and cell death. Conversely, the function of mitochondrial succinate dehydrogenase and the expression of oxidative phosphorylation enzymes were markedly reduced. A similar effect was observed in OSCs. Based on this, a predictive algorithm was developed aimed to predict tumor recurrence in a subset of patients. MALAT1 targeting by gapmer delivery restored normal metabolic energy pathway in PCa cells and OSCs.