Outcome riproduttivi e perinatali in donne con iperplasia surrenalica congenita: studio di coorte

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Helicobacter pylori and Epstein-Barr virus infection in gastric diseases: Correlation with IL-10 and IL1RN polymorphism.

Introduction: Helicobacter pylori and Epstein-Barr virus (EBV) infection have recently 23 been shown to be associated with gastric diseases. Polymorphisms in genes encoding 24 cytokines such as interleukin 10 (IL-10) and interleukin 1 Receptor (IL-1RN) influence 25 cytokine secretion levels and appear to contribute to the risk of developing gastroduodenal 26 diseases. 27 To our knowledge, this is the first preliminary study to address the association of 28 coinfection with H. pylori and EBV and their correlation with genetic predisposition in the 29 development of gastric diseases. 30 Methods: Gastric biopsy samples of 96 patients with different gastric diseases were used. 31 Results: Our results showed that the rate of co-infection was higher in patients with 32 gastric cancer than in patients with normal gastric mucosa, active chronic gastritis and 33 MALT lymphoma. As regards the characterization of H. pilory strains, the 34 polymorphism s1m1i1 of vacA gene was more frequent in patients with MALT 35 Lymphoma in comparison to others, while the polymorphism s2m2i2 was most 36 frequent in patients with normal gastric mucosa. In addition, patients who tested 37 positivefor the cagA gene were more frequently those affected with gastric cancer than 38 those with inactive chronic gastritis. Similarly, the patients with oipA gene ON were more 39 frequently those with gastric cancer than those with inactive chronic gastritis. 40 Conclusion: According to our analysis, there was no correlation between coinfection 41 and polymorphisms in genes encoding IL-10 and IL-1RN. We conclude that various 42 factors can be involved in the development of gastric diseases

A retrospective study on the association between urine metanephrines and cardiometabolic risk in patients with nonfunctioning adrenal incidentaloma

Several studies argued that cardiovascular evaluation of patients with nonfunctioning adrenal incidentaloma is of particular importance. Therefore, we aimed to evaluate the possibility of stratifying the cardiometabolic risk using metanephrine levels in this setting of patients. A retrospective cross-sectional study was designed, collecting data of metanephrine values in 828 patients with nonfunctioning adrenal incidentaloma, referred to our Division within the University of Turin between 2007 and 2021. The univariate analysis showed associations between urine metanephrines and cardiometabolic variables/parameters, particularly considering the noradrenaline metabolite. At the univariate regression, normetanephrine was associated with metabolic syndrome (OR = 1.13, p = 0.002), hypertensive cardiomyopathy (OR = 1.09, p = 0.026), microalbuminuria (OR = 1.14, p = 0.024), and eGFR < 60 mL/min/1.73 m(2) (OR = 1.11, p = 0.013), while metanephrine was associated with microalbuminuria (OR = 1.50, p = 0.008). At multivariate regression, considering all major cardiovascular risk factors as possible confounders, normetanephrine retained a significant association with metabolic syndrome (OR = 1.10, p = 0.037). Moreover, metanephrine retained a significant association with the presence of microalbuminuria (OR = 1.66, p = 0.003). The present study showed a further role for metanephrines in the cardiovascular risk stratification of patients with nonfunctioning adrenal incidentaloma. Individuals with high levels of these indirect markers of sympathetic activity should be carefully monitored and may benefit from an aggressive treatment to reduce their additional cardiometabolic burden

From single gene analysis to single cell profiling: a new era for precision medicine

Molecular profiling of DNA and RNA has provided valuable new insights into the genetic basis of non-malignant and malignant disorders, as well as an increased understanding of basic mechanisms that regulate human disease. Recent technological advances have enabled the analyses of alterations in gene-based structure or function in a comprehensive, high-throughput fashion showing that each tumor type typically exhibits distinct constellations of genetic alterations targeting one or more key cellular pathways that regulate cell growth and proliferation, evasion of the immune system, and other aspects of cancer behavior. These advances have important implications for future research and clinical practice in areas as molecular diagnostics, the implementation of gene or pathway-directed targeted therapy, and the use of such information to drive drug discovery. The 1st international and 32nd Annual Conference of Italian Association of Cell Cultures (AICC) conference wanted to offer the opportunity to match technological solutions and clinical needs in the era of precision medicine

Lipid peroxidation and total antioxidant capacity in vitreous, aqueous humor, and blood samples from patients with diabetic retinopathy

PurposeTo evaluate levels of malondialdehyde and the total antioxidant capacity (TAC) in the blood, aqueous humor, and vitreous bodies of diabetic and nondiabetic patients. We also measured the blood energy charge potential (ECP).MethodsWe examined 19 patients with type 2 diabetes mellitus and diabetic retinopathy. Ten were scheduled for cataract surgery and pars plana vitrectomy because of proliferative diabetic retinopathy (PDR). The other nine, with mild nonproliferative PDR (NPDR), and fourteen nondiabetic, age-matched subjects enrolled as a control group were scheduled for cataract surgery and vitrectomy because of epiretinal membranes. Blood, aqueous humor and vitreous body samples were collected at the time of surgery. Malondialdehyde concentrations and blood ECP were measured with high-performance liquid chromatography. The TAC of the samples was estimated with the oxygen radical absorbance capacity method.ResultsThe level of blood and vitreous malondialdehyde in the PDR group was significantly higher compared to controls and to NPDR patients. PDR patients also had lower levels of TAC at the vitreous body and aqueous humor level, but not at the blood level, compared to controls and with NPDR patients. In all diabetic patients, the blood ECP values were significantly lower, compared to control subjects.ConclusionsOur data support the hypothesis that oxidative stress and the decrease of antioxidant defenses are associated with the progression of diabetic retinopathy to its proliferative form. Antioxidant supply may have the effect of correcting oxidative stress and inhibiting disease progression

An update on lateral flow immunoassay for the rapid detection of SARS-CoV-2 antibodies

Over the last three years, after the outbreak of the COVID-19 pandemic, an unprecedented number of novel diagnostic tests have been developed. Assays to evaluate the immune response to SARS-CoV-2 have been widely considered as part of the control strategy. The lateral flow immunoassay (LFIA), to detect both IgM and IgG against SARS-CoV-2, has been widely studied as a point-of-care (POC) test. Compared to laboratory tests, LFIAs are faster, cheaper and user-friendly, thus available also in areas with low economic resources. Soon after the onset of the pandemic, numerous kits for rapid antibody detection were put on the market with an emergency use authorization. However, since then, scientists have tried to better define the accuracy of these tests and their usefulness in different contexts. In fact, while during the first phase of the pandemic LFIAs for antibody detection were auxiliary to molecular tests for the diagnosis of COVID-19, successively these tests became a tool of seroprevalence surveillance to address infection control policies. When in 2021 a massive vaccination campaign was implemented worldwide, the interest in LFIA reemerged due to the need to establish the extent and the longevity of immunization in the vaccinated population and to establish priorities to guide health policies in low-income countries with limited access to vaccines. Here, we summarize the accuracy, the advantages and limits of LFIAs as POC tests for antibody detection, highlighting the efforts that have been made to improve this technology over the last few years

Characterizing the building blocks of Problematic Use of the Internet (PUI): The role of obsessional impulses and impulsivity traits among Italian young adults

BACKGROUND: Problematic Use of the Internet (PUI) is a considerable issue of the modern era, but its risk factors are still poorly understood. Impulsivity and obsessive-compulsive symptoms have been associated with PUI, but this relationship is still debated. In this article we focus on the relationships of PUI with obsessive-compulsive and impulsive symptoms in a cohort of Italian young adults, in order to identify possible vulnerability factors for PUI.METHODS: A sample of 772 Italian individuals aged 18-30 (mean age 23.3±3.3years old; 38% males and 62% females) was assessed via online survey using the Internet Addiction Test (IAT), the Mini International Neuropsychiatric Interview (MINI) Screen, the Padua Inventory-Washington State University Revision (PI-WSUR) and the Barratt Impulsiveness Scale (BIS-11).RESULTS: Ninety-seven subjects (12.6% of the sample) reported IAT scores at risk for PUI. PUI participants reported higher levels of impulsivity, obsessive-compulsive symptoms and a higher burden of co-occurrent psychiatric symptoms. In a logistic regression model, obsessional impulses to harm (OR =1.108, p&lt;0.001), attentional impulsivity (OR=1.155, p&lt;0.001) and depressive symptomatology (OR=1.246, p=0.012) had significant association with PUI. Finally, higher severity of PUI has been associated with manic/psychotic symptoms and with attentional impulsivity.CONCLUSIONS: Our findings confirmed the role of impulsivity in PUI, while also underling the association of obsessional impulses with this pathological behavior. We could hypothesize a trigger role of obsessive impulses for the engagement in PUI, together with factors as negative affective states. Further research is needed with respect to more severe forms of PUI, also for establishing tailored interventions

Insights into the Sesquiterpenoid Pathway by Metabolic Profiling and De novo Transcriptome Assembly of Stem-Chicory (Cichorium intybus Cultigroup "Catalogna")

Stem-chicory of the "Catalogna" group is a vegetable consumed for bitter-flavored stems. Type and levels of bitter sesquiterpene lactones (STLs) participate in conferring bitterness in vegetables. The content of lactucin-and lactucopocrin-like STLs was higher in "Molfettese" than "Galatina" landrace stalks, regardless of the cultivation sites, consistently with bitterness scores and gustative differences. The "Galatina" transcriptome assembly resulted in 58,872 unigenes, 77% of which were annotated, paving the way to molecular investigation of the STL pathway. Comparative transcriptome analysis allowed the identification of 69,352 SNPs and of 1640 differentially expressed genes that maintained the pattern independently of the site. Enrichment analyses revealed that 4 out of 29 unigenes were up-regulated in "Molfettese" vs "Galatina" within the sesquiterpenoid pathway. The expression of two germacrene A -synthase (GAS) and one -oxidase (GAO) genes of the costunolide branch correlated positively with the contents of lactucin-like molecules, supporting that STL biosynthesis regulation occurs at the transcriptional level. Finally, 46 genes encoding transcription factors (TFs) maintained a differential expression pattern between the two varieties regardless of the growth site; correlation analyses among TFs, GAS, GAO gene expressions and STLs contents suggest that one MYB and one bHLH may act in the pathway

The synergistic effect of an imidazolium salt and benzotriazole on the protection of bronze surfaces with chitosan-based coatings

Abstract The class of imidazolium salts contains effective anticorrosion additives for metal substrates. This study evaluated the potential of 1-carboxymethyl-3-methylimidazolium bis (trifluoromethylsulfonyl) imide (HO 2 CC 1 MImNTf 2 ) for application in cultural heritage, exploring it as anticorrosion additive in chitosan-based coatings for the protection of copper-based alloys. Under accelerated corrosion conditions with HCl vapor, the chitosan coating with HO 2 CC 1 MImNTf 2 was less effective than the one with benzotriazole. The coating with a combination of HO 2 CC 1 MImNTf 2 and benzotriazole resulted in the optimal protective efficacy of the bronze surface, and it also maintained high transparency without changing the bronze appearance

A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions

The continuous monitoring of an individual's breathing can be an instrument for the assessment and enhancement of human wellness. Specific respiratory features are unique markers of the deterioration of a health condition, the onset of a disease, fatigue and stressful circumstances. The early and reliable prediction of high-risk situations can result in the implementation of appropriate intervention strategies that might be lifesaving. Hence, smart wearables for the monitoring of continuous breathing have recently been attracting the interest of many researchers and companies. However, most of the existing approaches do not provide comprehensive respiratory information. For this reason, a meta-learning algorithm based on LSTM neural networks for inferring the respiratory flow from a wearable system embedding FBG sensors and inertial units is herein proposed. Different conventional machine learning approaches were implemented as well to ultimately compare the results. The meta-learning algorithm turned out to be the most accurate in predicting respiratory flow when new subjects are considered. Furthermore, the LSTM model memory capability has been proven to be advantageous for capturing relevant aspects of the breathing pattern. The algorithms were tested under different conditions, both static and dynamic, and with more unobtrusive device configurations. The meta-learning results demonstrated that a short one-time calibration may provide subject-specific models which predict the respiratory flow with high accuracy, even when the number of sensors is reduced. Flow RMS errors on the test set ranged from 22.03&nbsp;L/min, when the minimum number of sensors was considered, to 9.97&nbsp;L/min for the complete setting (target flow range: 69.231&nbsp;±&nbsp;21.477&nbsp;L/min). The correlation coefficient r between the target and the predicted flow changed accordingly, being higher (r&nbsp;=&nbsp;0.9) for the most comprehensive and heterogeneous wearable device configuration. Similar results were achieved even with simpler settings which included the thoracic sensors (r ranging from 0.84 to 0.88; test flow RMSE&nbsp;=&nbsp;10.99&nbsp;L/min, when exclusively using the thoracic FBGs). The further estimation of respiratory parameters, i.e., rate and volume, with low errors across different breathing behaviors and postures proved the potential of such approach. These findings lay the foundation for the implementation of reliable custom solutions and more sophisticated artificial intelligence-based algorithms for daily life health-related applications