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

Morphological and molecular changes in the Harderian gland of streptozotocin-induced diabetic rats

Using a rat model of type 1 diabetes (T1D) obtained by treatment with streptozotocin, an antibiotic that destroys pancreatic β-cells, we evaluated the influence of subsequent hyperglycemia on the morphology and physiology of the Harderian gland (HG). HG is located in the medial corner of the orbit of many terrestrial vertebrates and, in rodents, is characterized by the presence of porphyrins, which being involved in the phototransduction, through photo-oxidation, produce reactive oxygen species activating the autophagy pathway. The study focused on the expression of some morphological markers involved in cell junction formation (occludin, connexin-43, and α-tubulin) and mast cell number (MCN), as well as autophagic and apoptotic pathways. The expression of enzymes involved in steroidogenesis [steroidogenic acute regulatory protein (StAR), and 3β-hydroxysteroid dehydrogenase (3β-HSD)] and the level of lipid peroxidation by thiobarbituric acid reactive species assay were also evaluated. The results strongly indicate, for the first time, that T1D has a negative impact on the pathophysiology of rat HG, as evidenced by increased oxidative stress, morphological and biochemical alterations, hyperproduction and secretion of porphyrins, increased MCN, reduced protein levels of StAR and 3β-HSD, and, finally, induced autophagy and apoptosis. All the combined data support the use of the rat HG as a suitable experimental model to elucidate the molecular damage/survival pathways elicited by stress conditions

Expression pattern dysregulation of stress- and neuronal activity-related genes in response to prenatal stress paradigm in zebrafish larvae

Maternal stress during pregnancy adversely affects developmental fetal programming. Glucocorticoid excess is one of those conditions that underlie the prenatal stress and can lead to many pathological disorders later in life. Beyond the obvious use of mammalian model organisms to uncover the different mechanisms at the basis of prenatal stress effects, zebrafish represents a complementary fruitful model for this research field. Here we demonstrated that the application of an experimental paradigm, which simulates prenatal stress by exposing embryos to cortisol excess, produced an alteration of gene expression pattern. In particular, the transcript level of hsd11b2, a gene involved in the cortisol catabolism, was affected in prenatally stressed larvae, even after many hours from the removal of cortisol excess. Interestingly, the expression pattern of c-fos, a marker gene of neural activity, was affected in prenatally stressed larvae even in response to a swirling and osmotic stress challenge. Our data corroborate the idea of zebrafish as a useful model organism to study prenatal stress effects on vertebrate development

Synchronous and Metachronous Breast Malignancies: A Cross-Sectional Retrospective Study and Review of the Literature

Objective. There is increasing interest in patients with metachronous (MBC) and synchronous breast cancer (SBC). The objective of this study was to evaluate the occurrence and outcome of MBCs and SBCs. Methods. A retrospective study on women operated in our department for breast cancer between 2002 and 2005 was carried out. Patients were divided into three groups: women with MBC, SBC, and unilateral breast cancer (UBC). Moreover, we performed a meta-analysis of the English literature about multiple breast cancers between 2000 and 2011 taking into consideration their prevalence and overall survival (OS). Results. We identified 584 breast cancer patients: 16 women (3%) presented SBC and 40 MBC (7%, second cancer after 72-month follow-up IQR 40–145). Although the meta-analysis showed significant OS differences between MBC or SBC and UBC, we did not observe any significant OS difference among the three groups of our population. Anyway, we found a significant worse disease-free survival in MBC than UBC and a significant higher prevalence of radical surgery in MBC and SBC than UBC. Conclusions. Despite the low prevalence of MBC and SBC, the presence of a long time risk of MBC confirms the crucial role of ipsi- and contralateral mammographies in the postoperative follow-up

Subsurface 3D modeling of Giumentina Valley (Majella, Abruzzo, Italy) trough multi-methodic geophysical surveys

International audienc

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

Ovarian cancer onset across different BRCA mutation types: a view to a more tailored approach for BRCA mutated patients

ObjectiveTo evaluate the role of different specific types of germline breast cancer susceptibility BRCA mutations on the age of onset of high grade serous ovarian cancer. MethodsThis was a multicenter, international, retrospective cohort of 474 patients diagnosed with recurrent or newly diagnosed high grade serous ovarian cancer, with known germline mutations in BRCA1/2 genes, treated between January 2011 and December 2020 in three academic centers in Europe. Patients were classified into four groups related to the type of BRCA1/2 genes mutation: frameshift, missense, nonsense, and splicing. Data from patients with splicing mutations were removed from the analysis because of the small numbers. The other three groups were compared. ResultsExcluding the 29 patients with a splicing mutation, 474 patients were enrolled: 309 (65.2%) with frameshift mutations, 102 (21.5%) with nonsense mutations, and 63 (13.3%) with missense mutations. The BRCA1 gene was affected in 324 (68.4%) cases, while BRCA2 was involved in 150 (31.6%) women (p=0.06). We found a difference of more than 5 years in the age of onset of high grade serous ovarian cancer between BRCA1 and BRCA2 patients (mean 53.3 years vs 58.4 years; p=0.001), with a mean age of 55.1 years. Patients with nonsense germline mutations had the youngest age of onset, while women with frameshift mutations had the oldest age of onset of high grade serous ovarian cancer (mean 52.2 years vs mean 55.9 years), both in the BRCA1 and BRCA2 subgroups. There was no statistically significant difference in age of onset between early and advanced groups (mean 55.8 years vs 55.0 years; p=0.55). ConclusionDifferent types of germline BRCA mutations could determine different ages for onset of high grade serous ovarian cancer. If confirmed in larger series, this finding might have a clinical impact, potentially leading to a more tailored approach for risk reducing surgery for the prevention of high grade serous ovarian cancer