The histone deacetylase inhibitor ITF2357 targets oncogenic BRAF in human melanoma cells

ITF2357 (Givinostat) is a potent antineoplastic histone deacetylase inhibitor which is currently used in clinical trials for leukemias and myelomas and in the therapy for systemic juvenile idiopathic arthritis. Here evidence is provided that ITF2357 reduces the viability of human melanoma SK-Mel28 cells thereby inducing cell death. This compound was more efficacious than SAHA, another well known HDAC inhibitor belonging to the same class of hydroxamic acids. Moreover, we demonstrated for the first time that ITF2357 determines in SK-Mel28 cells a remarkable reduction in the level of oncogenic B-Raf, the product of the BRAF V600E mutated gene in melanoma. Western blot analysis showed that the decrease of oncogenic B-Raf induced by ITF2357 is dose and time dependent. This effect was accompanied with a decrease in the level of phosho-ERK confirming the blockage of the B-Raf mitogenic pathway. To potentiate the inhibition of this pathway, the MEK inhibitor UO126 was used in combination with ITF2357. The results indicated that this compound increases the effect of ITF2357 on cell death. Intriguingly, UO126 not only reduced ERK phosphorylation, as a confirmation of MEK inhibition, but also consistently reduced the level of B-Raf when combined with ITF2357. These preliminary results suggest that ITF2357, either alone or in combination with UO126, can be considered a good candidate in melanoma targeted therapy and ongoing studies will further clarify the mechanism of oncogenic B-Raf inhibition

Motion artifacts in kidney stone imaging using single-source and dual-source dual-energy CT scanners: a phantom study

PURPOSE: Dual-energy computed tomography (DECT) has shown the capability of differentiating uric acid (UA) from non-UA stones with 90-100% accuracy. With the invention of dual-source (DS) scanners, both low- and high-energy images are acquired simultaneously. However, DECT can also be performed by sequential acquisition of both images on single-source (SS) scanners. The objective of this study is to investigate the effects of motion artifacts on stone classification using both SS-DECT and DS-DECT. METHODS: 114 kidney stones of different types and sizes were imaged on both DS-DECT and SS-DECT scanners with tube voltages of 80 and 140 kVp with and without induced motion. Postprocessing was conducted to create material-specific images from corresponding low- and high-energy images. The dual-energy ratio (DER) and stone material were determined and compared among different scans. RESULTS: For the motionless scans, all stones were correctly classified with SS-DECT, while two cystine stones were misclassified with DS-DECT. When motion was induced, 94% of the stones were misclassified with SS-DECT versus 11% with DS-DECT (P < 0.0001). Stone size was not a factor in stone misclassification under motion. Stone type was not a factor in stone misclassification under motion with SS-DECT, although with DS-DECT, cystine showed higher number of stone misclassification. CONCLUSIONS: Motion artifacts could result in stone misclassification in DECT. This effect is more pronounced in SS-DECT versus DS-DECT, especially if stones of different types lie in close proximity to each other. Further, possible misinterpretation of the number of stones (i.e., missing one, or thinking that there are two) in DS-DECT could be a potentially significant problem

The dual/global value of SARS-COV- 2 genome surveillance on migrants arriving to Europe via the mediterranean routes

Despite the pandemic, 34,154 migrants, refugees or asylum-seekers landed in Sicily (Italy) in 2020, representing the main point of entry by sea into Europe. The SARS-CoV-2 surveillance program among migrants arriving to Sicily via the Mediterranean Sea, made by the combination of clinical examination and molecular testing, has been integrated by full-genome sequencing strains using the NGS technology from the last week of February. To date, more than one hundred full-genome strains have been sequenced and 8 different lineages have been identified mostly belonging to the lineages B.1.1.7 and B.1.525. As global access to COVID-19 vaccines should be ensured, the need to provide more detailed information to inform policies and to drive the possible re-engineering of vaccines needed to deal with the challenge of new and future variants should be highlighted

Diabetic foot ulcers: Retrospective comparative analysis from Sicily between two eras

Aim: The aim of this study was to analyze changes in the incidence, management and mortality of DFU in Sicilian Type 2 diabetic patients hospitalized between two eras, i.e. 2008-2013 and 2014-2019. Methods: We compared the two eras, era1: 2008-13, era2: 2014-19. In era 1, n = 149, and in era 2, n = 181 patients were retrospectively enrolled. Results: In the population hospitalized for DFU in 2008-2013, 59.1% of males and 40.9% of females died, whilst in 2014-2019 65.9% of males and 34.1% of females died. Moderate chronic kidney disease (CKD) was significantly higher in patients that had died than in ones that were alive (33% vs. 43%, p &lt; 0.001), just as CKD was severe (14.5% vs. 4%, p &lt; 0.001). Considering all together the risk factors associated with mortality, at Cox regression multivariate analysis only moderate-severe CKD (OR 1.61, 95% CI 1.07-2.42, p 0.021), age of onset greater than 69 years (OR 2.01, 95% CI 1.37-2.95, p &lt;0.001) and eGFR less than 92 ml/min (OR 2.84, 95% CI 1.51-5.34, p 0.001) were independently associated with risk of death. Conclusions: Patients with DFU have high mortality and reduced life expectancy. Age at onset of diabetic foot ulcer, eGFR values and CKD are the principal risk factors for mortality

Are diabetes and its medications risk factors for the development of COVID-19? Data from a population-based study in Sicily.

Background and aims: Diabetes mellitus (DM) has been associated with higher incidence of severe cases of COVID-19 in hospitalized patients, but it is unknown whether DM is a risk factor for the overall COVID-19 incidence. The aim of present study was to investigate whether there is an association of DM with COVID-19 prevalence and case fatality, and between different DM medications and risk for COVID-19 infection and death. Methods and results: retrospective observational study on all SARS-CoV-2 positive (SARS-CoV-2+) cases and deaths in Sicily up to 2020, May 14th. No difference in COVID-19 prevalence was found between people with and without DM (RR 0.92 [0.79-1.09]). Case fatality was significantly higher in SARS-CoV-2+ with DM (RR 4.5 [3.55-5.71]). No diabetes medication was associated with differences in risk for SARS-Cov2 infection. Conclusions: in Sicily, DM was not a risk factor for COVID-19 infection, whereas it was associated with a higher case fatality

Detection of different kidney stone types: an ex vivo comparison of ultrashort echo time MRI to reference standard CT

BACKGROUND AND PURPOSE: With the development of ultrashort echo time (UTE) sequences, it may now be possible to detect kidney stones by using magnetic resonance imaging (MRI). In this study, kidney stones of varying composition and sizes were imaged using both UTE MRI as well as the reference standard of computed tomography (CT), with different surrounding materials and scan setups. METHODS: One hundred and fourteen kidney stones were inserted into agarose and urine phantoms and imaged both on a dual-energy CT (DECT) scanner using a standard renal stone imaging protocol and on an MRI scanner using the UTE sequence with both head and body surface coils. A subset of the stones representing all composition types and sizes was then inserted into the collecting system of porcine kidneys and imaged in vitro with both CT and MRI. RESULTS: All of the stones were visible on both CT and MRI imaging. DECT was capable of differentiating between uric acid and nonuric acid stones. In MRI imaging, the choice of coil and large field of view (FOV) did not affect stone detection or image quality. The MRI images showed good visualization of the stones' shapes, and the stones' dimensions measured from MRI were in good agreement with the actual values (R(2)=0.886, 0.895, and 0.81 in the agarose phantom, urine phantom, and pig kidneys, respectively). The measured T2 relaxation times ranged from 4.2 to 7.5ms, but did not show significant differences among different stone composition types. CONCLUSIONS: UTE MRI compared favorably with the reference standard CT for imaging stones of different composition types and sizes using body surface coil and large FOV, which suggests potential usefulness of UTE MRI in imaging kidney stones in vivo

Effective Study: Development and Application of a Question-Driven, Time-Effective Cardiac Magnetic Resonance Scanning Protocol

BACKGROUND: Long scanning times impede cardiac magnetic resonance (CMR) clinical uptake. A “one‐size‐fits‐all” shortened, focused protocol (eg, only function and late‐gadolinium enhancement) reduces scanning time and costs, but provides less information. We developed 2 question‐driven CMR and stress‐CMR protocols, including tailored advanced tissue characterization, and tested their effectiveness in reducing scanning time while retaining the diagnostic performances of standard protocols. METHODS AND RESULTS: Eighty three consecutive patients with cardiomyopathy or ischemic heart disease underwent the tailored CMR. Each scan consisted of standard cines, late‐gadolinium enhancement imaging, native T1‐mapping, and extracellular volume. Fat/edema modules, right ventricle cine, and in‐line quantitative perfusion mapping were performed as clinically required. Workflow was optimized to avoid gaps. Time target was 30% (CMR: from 42±8 to 28±6 minutes; stress‐CMR: from 50±10 to 34±6 minutes, both P45% of cases. Quality grading was similar between the 2 protocols. Tailored protocols did not require additional staff. CONCLUSIONS: Tailored CMR and stress‐CMR protocols including advanced tissue characterization are accurate and time‐effective for cardiomyopathies and ischemic heart diseas

Obstetric near-miss cases among women admitted to intensive care units in Italy

Objective. Maternal near-miss defines a narrow category of morbidity encompassing potentially life-threatening episodes. The purpose of this study was to detect near-miss instances among women admitted to intensive care units or coronary units, analyze associated causes, and compute absolute and specific maternal morbidity rates in six Italian regions. Design. Observational retrospective study. Setting. Six Italian regions representing 49% of all resident Italian women aged 15-49 years. Population. The study population included all pregnant women aged 15-49 years admitted to intensive care units or coronary care units in the participating regions. Cases were defined as women aged 15-49 years resident in the participating regions, with one or more hospitalizations in intensive care for pregnancy or any pregnancy outcome between 2004 and 2005. Methods. Cases were identified through the Hospital Discharge Database. Enrolled cases were diagnosed according to the 9th International Classification of Diseases. Main outcome measure. Maternal near-miss rate (number of women experiencing an admission to intensive care units/all women with live or stillborn babies). Results. A total of 1259 near-miss cases were identified and the total maternal near-miss rate was 2.0/1000 deliveries. Seventy percent of the women were admitted to intensive care units or coronary units after a cesarean section. The leading associated risk factors were obstetric hemorrhage/disseminated intravascular coagulation (40%) and hypertensive disorders of pregnancy (29%). Conclusions. Monitoring of near-miss morbidity in conjunction with mortality surveillance could help to identify effective preventive measures for potentially life-threatening episodes

Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems

Objective:We aimed to evaluate the effectiveness of utilizing artificial intelligence (AI) to quantify the extent of pneumonia from chest CT scans, and to determine its ability to predict clinical deterioration or mortality in patients admitted to the hospital with COVID-19 in comparison to semi-quantitative visual scoring systems.Methods:A deep-learning algorithm was utilized to quantify the pneumonia burden, while semi-quantitative pneumonia severity scores were estimated through visual means. The primary outcome was clinical deterioration, the composite end point including admission to the intensive care unit, need for invasive mechanical ventilation, or vasopressor therapy, as well as in-hospital death.Results:The final population comprised 743 patients (mean age 65  ±  17 years, 55% men), of whom 175 (23.5%) experienced clinical deterioration or death. The area under the receiver operating characteristic curve (AUC) for predicting the primary outcome was significantly higher for AI-assisted quantitative pneumonia burden (0.739, p = 0.021) compared with the visual lobar severity score (0.711, p &lt; 0.001) and visual segmental severity score (0.722, p = 0.042). AI-assisted pneumonia assessment exhibited lower performance when applied for calculation of the lobar severity score (AUC of 0.723, p = 0.021). Time taken for AI-assisted quantification of pneumonia burden was lower (38 ± 10 s) compared to that of visual lobar (328 ± 54 s, p &lt; 0.001) and segmental (698 ± 147 s, p &lt; 0.001) severity scores.Conclusion:Utilizing AI-assisted quantification of pneumonia burden from chest CT scans offers a more accurate prediction of clinical deterioration in patients with COVID-19 compared to semi-quantitative severity scores, while requiring only a fraction of the analysis time.Advances in knowledge:Quantitative pneumonia burden assessed using AI demonstrated higher performance for predicting clinical deterioration compared to current semi-quantitative scoring systems. Such an AI system has the potential to be applied for image-based triage of COVID-19 patients in clinical practice

Randomized evaluation of polytetrafluoroethylene-covered stent in saphenous vein grafts: the Randomized Evaluation of polytetrafluoroethylene COVERed stent in Saphenous vein grafts (RECOVERS) Trial

Treatment of lesions located in saphenous vein grafts (SVGs) is associated with increased procedural risk and a high rate of restenosis