Multi-isotope and Hydrogeochemical approach for characterizing Saturnia thermal groundwater (Grosseto, Italy)

Aim of this study is to define the groundwater flow of thermal area of Saturnia, through both chemical and isotope analyses. After a first detailed geological-geophysical survey and a quantification of the available groundwater resources, we analyzed several chemical compounds (Na, Ca, Mg, K, Chlorides, Sulfates, Nitrates, total alkalinity, Li, Sr, B, Fluorides, soluble Silica, free Carbon Dioxide, Sb, As, Se, H2S, Fe, Mn, Hg e Pb) and isotopes (2H; 3H, 3He, 4He, 13C, 18O, 86Sr, 87Sr). Excluding the uncertainties mainly related to a large repetition of measures over time, we concluded the following conclusions. Both Lithium and Boron high values and 87Sr/86Sr values highlighted that "Calcare Cavernoso" limestone geological formation constitutes the Saturnia thermal aquifer. Such samples showed both the same chemical characteristics and source area. Boron, Lithium, δ2H, δ18O and 87Sr/86Sr show the Saturnia thermal aquifer is separated by those of Pitigliano (Latera- Bolsena thermal circuit) and Bagni San Filippo (Mt. Amiata thermal circuit). 18O, 3H e δ13C measured in samples coming from Saturnia thermal spring respectively indicate that water feeding the thermal aquifer infiltrate at 350-440 m a.s.l., that they are almost 30 years old, and finally they that are isolated regarding to external infiltration. Low value of R/Ra tends to exclude the influence of Earth mantle to the geothermal anomaly of Saturnia area. The high content in Selenium indicates a possible interaction between Saturnia spring water and those coming from the Saturnia well, with volcanic fluids. However, considering also the evidence of the separation between the Saturnia groundwater flow and those of neighboring thermal fields (Bolsena and Mt. Amiata), we hypothesized that only a exchange among these volcanic complexes and the source area of thermal water points exists, but not among these complex and Saturnia aquifer

Prevalence and Antibiotic Resistance Patterns of Ocular Bacterial Strains Isolated from Pediatric Patients in University Hospital of Campania "Luigi Vanvitelli," Naples, Italy

Eye infections caused by bacteria are a serious public health problem among pediatric patients. These diseases, if not properly treated, can cause blindness and impaired vision. The study aimed to evaluate the antimicrobial resistance profiles of the main pathogens involved in eye infections. This study involved pediatric patients enrolled at the "Luigi Vanvitelli" University Hospital of Campania in Naples, Italy, between 2017 and 2019. Of a total of 228 pediatric patients, 73 (32%) tested positive for bacterial infection. In terms of strain distribution, 85% were Gram-positive bacteria, while 15% were Gram-negative bacteria. The most frequently isolated strains were coagulase-negative Staphylococci (60.4%), followed by Staphylococcus aureus (16.4%). The isolated bacteria showed a significant percentage of resistance to multiple antibiotics. Therefore, the identification of the causal bacteria and antimicrobial sensitivity tests are mandatory to select the effective drug for the treatment of eye infections and prevent the development of antibiotic-resistant bacteria

Resolvin D1 Modulates the Intracellular VEGF-Related miRNAs of Retinal Photoreceptors Challenged With High Glucose

Stimulation of retinal photoreceptors with elevated glucose concentration (30 mM) for 96 h, served as diabetic retinopathy in vitro model to study Resolvin D1 (50 nM) effects on neovascularization. VEGF and anti-angiogenic miR-20a-3p, miR-20a-5p, miR-106a- 5p, and miR-20b expression was assessed either in photoreceptors exposed to HG or in exosomes released by those cells. High glucose increased VEGF levels and concurrently decreased anti-angiogenic miRNAs content in photoreceptors and exosomes. RvD1 reverted the effects of glucose damage in photoreceptors and exosomal pro-angiogenic potential, tested with the HUVEC angiogenesis assay. By activating FPR2 receptor, RvD1 modulated both the expression of anti-angiogenic miRNA, which decrease VEGF, and the pro-angiogenic potential of exosomes released by primary retinal cells. HUVEC transfection with miR-20a-3p, miR-20a-5p, miR-106a-5p, and miR-20b antagomirs, followed by exposure to exosomes from photoreceptors, confirmed the VEGF-related miRNAs mechanism and the anti-angiogenic effects of RvD1

Metformin therapy effects on the expression of sodium-glucose cotransporter 2, leptin, and sirt6 levels in pericoronary fat excised from pre-diabetic patients with acute myocardial infarction

Background and purpose: pericoronary fat over-inflammation might lead to the development and destabilization of coronary plaque in patients with pre-diabetes (PDM). Notably, pericoronary fat could over-express the sodium-glucose cotransporter 2 (SGLT2) and leptin, along with decreased sirtuin 6 (SIRT6) expression in PDM vs. normoglycemic (NG) patients undergoing coronary artery bypass grafting (CABG) for acute myocardial infarction (AMI). However, in the current study, we evaluated inflammatory markers, SGLT2, SIRT6, and leptin levels in pericoronary fat and, subsequently, 12-month prognosis comparing PDM to NG subjected to CABG for AMI. In addition, we evaluated in PDM patients the effects of metformin therapy on SIRT6 expression, leptin, and SGLT2 levels, and assessed its beneficial effect on nitrotyrosine and inflammatory cytokine levels. Methods: we studied AMI patients referred for CABG, divided into PDM and NG-patients. PDM patients were divided into never-metformin users and metformin users. Finally, we evaluated major adverse cardiac events (MACE) at a 12-month follow-up. Results: the MACE was 9.1% in all PDM and 3% in NG patients (p < 0.05). Metformin users presented a significantly lower MACE rate in PDM than never-metformin users (p < 0.05). PDM showed higher inflammatory cytokines, 3-nitrotyrosine levels, SGLT2, and leptin content, and decreased SIRT6 protein levels in pericoronary fat compared to NG-patients (p < 0.05). PDM never-metformin-users showed higher SGLT2 and leptin levels in pericoronary fat than current-metformin-users (p < 0.05). Conclusions: metformin therapy might ameliorate cardiovascular outcomes by reducing inflammatory parameters, SGLT2, and leptin levels, and finally improving SIRT6 levels in AMI-PDM patients treated with CABG

Potential shallow aquifers characterization through an integrated geophysical method: multivariate approach by means of k-means algorithms

The need to obtain a detailed hydrogeological characterization of the subsurface and its interpretation for the groundwater resources management, often requires to apply several and complementary geophysical methods. The goal of the approach in this paper is to provide a unique model of the aquifer by synthesizing and optimizing the information provided by several geophysical methods. This approach greatly reduces the degree of uncertainty and subjectivity of the interpretation by exploiting the different physical and mechanic characteristics of the aquifer. The studied area, into the municipality of Laterina (Arezzo, Italy), is a shallow basin filled by lacustrine and alluvial deposits (Pleistocene and Olocene epochs, Quaternary period), with alternated silt, sand with variable content of gravel and clay where the bottom is represented by arenaceous-pelitic rocks (Mt. Cervarola Unit, Tuscan Domain, Miocene epoch). This shallow basin constitutes the unconfined superficial aquifer to be exploited in the nearly future. To improve the geological model obtained from a detailed geological survey we performed electrical resistivity and P wave refraction tomographies along the same line in order to obtain different, independent and integrable data sets. For the seismic data also the reflected events have been processed, a remarkable contribution to draw the geologic setting. Through the k-means algorithm, we perform a cluster analysis for the bivariate data set to individuate relationships between the two sets of variables. This algorithm allows to individuate clusters with the aim of minimizing the dissimilarity within each cluster and maximizing it among different clusters of the bivariate data set. The optimal number of clusters "K", corresponding to the individuated geophysical facies, depends to the multivariate data set distribution and in this work is estimated with the Silhouettes. The result is an integrated tomography that shows a finite number of homogeneous geophysical facies, which therefore permits to distinguish and interpret the porous aquifer in a quantitative and objective way

Looking toward the future: Well-ageing solutions from the equity release mortgage market

Equity Release Mortgage is a product aimed at ensuring that the elderly population has an adequate income. It has been gaining increasing attention due to its potential benefits, especially in facing today’s elderly issues. This work proposes a literature overview, and points out main characteristics, drawbacks and strengths of this innovative financial way could meet retirement needs. This study contributes to the existing literature. Findings encourage pursuing this research direction to improve the understandability and scalability of these innovative financial tools

Insurance business and social sustainability: A proposal

Sustainability issues are emerging as a major focus for the insurance institutions, who have to face a number of challenges of the immediate future regarding environmental, social and governance (ESG) factors, climate changes, and catastrophic events. Despite this, literature is still scarce. In this vein, our work contributes to the small but growing body of literature on sustainable finance insurances, by providing evidence of the positive role that insurance companies can play in realizing a more sustainable financial system. The study proposes an innovative securitized process, described as a financial cycle oriented to the achievement of the social objective of collective health. Sustainable instruments allow firms, insurance companies and investors to play a proactive role: virtuous companies, attentive to health protection of their employees, could benefit from premium discounts on the costs of insurance coverage for business risks. The analysis demonstrates how the securitization scheme supports projects with economic-social impact, underlining main actors’ roles, challenges, and opportunities for a sustainable future. Findings pave the way for designing new sustainable insurance solutions and have both practical and social implications

A pilot study to test the reliability of the ERT method in the identification of mixed sulphides bearing dykes: The example of Sidi Flah mine (Anti-Atlas, Morocco)

A multidisciplinary study, comprising geological, petrographical and geophysical methods, was carried out for the identification and the geometrical and volumetric assess of the main mineralized bodies (mixed sulphides, Zn-Pb and Fe-Cu) in the area of the Anti-Atlas chain, located at SW of the town of Sidi Flah (Ouarzazate, Morocco). The initial phase of exploration involved an extensive fieldwork (structural investigations and sampling) and a detailed survey for verifying the effectiveness and reliability of the Electrical Resistivity Method (ERT). Geological fieldworks and laboratory analyses played a fundamental role in identifying the resistivity anomalies and constraining tomographic results. Main issues we focused on are: i) mineralized bodies imaging according to the electrodic step; ii) consistency with geometry of mineralized bodies; iii) contrast of electrical resistivity between mineralized dykes and host rocks; iv) possible correlations between the type and amount of sulphides and electrical resistivity