Emissione di bremsstrahlung e applicazioni astrofisiche

Si studia il processo fisico della bremsstrahlung, sia termica che relativistica, e si derivano le equazioni più rilevanti e se ne illustrano gli spettri teorici. Si studiano poi alcuni casi astrofisici, in particolare, si riportano alcuni risultati sul calcolo della massa dei cluster ottenuti proprio dallo studio dell'emissione in X per bremsstrahlung di questi. Poi, brevemente, si spiegano qualitativamente le emissioni di bremsstrahlung da parte del mezzo interstellare, delle binarie X, delle galassie starburst e delle supernova

The clustering properties of galaxy clusters in the AMICO-KiDS survey: contraints on the cosmological parameters and on the mass-richness relation

In this Thesis work, we present new measurements of the clustering of a photometric sample of galaxy clusters, focusing on the redshift-space 2PCF. The analysed galaxy cluster sample has been built using the Adaptive Matched Identifier of Clustered Objects (AMICO) algorithm (on the Kilo-Degree Survey. We analyse the full catalogue, as well as sub-catalogues selected in mass and redshifts. All these new measurements are compared to theoretical predictions of the standard cosmological framework, finding consistent results. Then, we perform a statistical analysis to extract constraints on the matter density contrast, the amplitude of the density fluctuations, the dark energy equation of state parameter, and the effective bias of the sample. Finally, we present a new method to infer the cluster mass scaling relation from cluster clustering measurements, and provide constraints on the scaling relation normalisation, slope and scatter

iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs. -- III. Stellar metallicity drivers in MaNGA and TNG50

The iMaNGA project uses a forward-modelling approach to compare the predictions of cosmological simulations with observations from SDSS-IV/MaNGA. We investigate the dependency of age and metallicity radial gradients on galaxy morphology, stellar mass, stellar surface mass density ($\Sigma_*$), and environment. The key of our analysis is that observational biases affecting the interpretation of MaNGA data are emulated in the theoretical iMaNGA sample. The simulations reproduce the observed global stellar population scaling relations with positive correlations between galaxy mass and age/metallicity quite well and also produce younger stellar populations in late-type in agreement with observations. We do find interesting discrepancies, though, that can inform the physics and further development of the simulations. Ages of spiral galaxies and low-mass ellipticals are overestimated by about 2-4 Gyr. Radial metallicity gradients are steeper in iMaNGA than in MaNGA, a discrepancy most prominent in spiral and lenticular galaxies. Also, the observed steepening of metallicity gradients with increasing galaxy mass is not well matched by the simulations. We find that the theoretical radial profiles of surface mass density $\Sigma_*$ are steeper than in observations except for the most massive galaxies. In both MaNGA and iMaNGA [Z/H] correlates with $\Sigma_*$, however, the simulations systematically predict lower [Z/H] by almost a factor of 2 at any $\Sigma_*$. Most interestingly, for galaxies with stellar mass $\log M_*\leq 10.80 M_\odot$ the MaNGA data reveal a positive correlation between galaxy radius and [Z/H] at fixed $\Sigma_*$, which is not recovered in iMaNGA. Finally, the dependence on environmental density is negligible in both the theoretical iMaNGA and the observed MaNGA data

iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs. II. the catalogue

To test the current theory on galaxy formation and evolution, it is essential to strengthening the synergy between simulations and observations. For this reason, in our previous paper of this series, we presented a method to mock SDSS-IV/MaNGA integral-field spectroscopic galaxy observations from cosmological simulations of galaxy formation. Here we present the resulting mock galaxy catalogue. This catalogue consists of 1,000 unique galaxies in TNG50 falling into the SDSS-IV/MaNGA-Primary target footprint, defined in the redshift and i-band absolute magnitude space, i.e. the iMaNGA sample. In this paper, we describe the general characteristics of the catalogue, in terms of morphology, kinematics, and stellar population properties. We also investigate our ability to recover the galaxy characteristics, as given by the simulations, analysing the synthetic spectra. We demonstrate that the `intrinsic' and recovered stellar kinematics, and stellar age and metallicity are consistent with zero within the 1$-{\sigma}$ level, for all the $\sim 8$ million tassels in the iMaNGA sample presented in this paper. We also compare `intrinsic' and recovered star formation histories, noting a strong resemblance. Therefore, our mocking and spectral fitting processes do not distort `intrinsic' galaxy properties, hence we can use these results for scientific analysis. In the future papers of this series, we will present a comprehensive comparison and scientific analysis of TNG50 simulations with MaNGA observational results

Sildenafil normalizes MALAT1 level in diabetic cardiomyopathy

Introduction A large body of evidence recently highlighted the involvement of long non-coding RNAs (lncRNAs) in cardiovascular disease [1] and some dysregulated lncRNAs have been associated with diabetic cardiomyopathy [2\u20135]. Among them, a higher expression of the lncRNA metastasis associated lung adenocarcinoma transcript 1 (MALAT1) has been observed in diabetic cardiomyopathy [6, 7]. However, a clear understanding of the molecular mechanisms leading to pathological regulation of lncRNAs in diabetic cardiomyopathy is still missing. Our prior work by Barbati et al. [8], established that, in the presence of high glucose, nitric oxide (NO) signaling derangement might alter the epigenetic landscape of cardiac cells, both in vitro and in vivo, via transcription factor CREM activation. Aim The present study is aimed at investigating the role of high glucose (HG) and NO pathway in the regulation of MALAT1 in the heart of mice after 6 months of prolonged hyperglycemia and in two cellular models of cardiomyocytes exposed to HG

The baseline comorbidity burden affects survival in elderly patients with acute myeloid leukemia receiving hypomethylating agents: Results from a multicentric clinical study

Background: In older patients with acute myeloid leukemia (AML), the definition of fitness, prognosis, and risk of death represents an open question. Methods: In the present study, we tested the impact on survival of disease- and patient-related parameters in a large cohort of elderly AML patients homogeneously assigned to treatment with hypomethylating agents (HMAs). Results: In 131 patients with a median age of 76 years, we confirmed that early response (<0.001) and biology-based risk classification (p = 0.003) can select patients with better-predicted survival. However, a full disease-oriented model had limitations in stratifying our patients, prompting us to investigate the impact of baseline comorbidities on overall survival basing on a comorbidity score. The albumin level (p = 0.001) and the presence of lung disease (p = 0.013) had a single-variable impact on prognosis. The baseline comorbidity burden was a powerful predictor of patients' frailty, correlating with increased incidence of adverse events, especially infections, and predicted overall survival (p < 0.001). Conclusion: The comorbidity burden may contribute to impact prognosis in addition to disease biology. While the therapeutic armamentarium of elderly AML is improving, a comprehensive approach that combines AML biology with tailored interventions to patients' frailty is likely to fully exploit the anti-leukemia potential of novel drugs

MALAT1 and HOTAIR long non-coding RNAs play opposite role in estrogen-mediated transcriptional regulation in prostate cancer cells

In the complex network of nuclear hormone receptors, the long non-coding RNAs (lncRNAs) are emerging as critical determinants of hormone action. Here we investigated the involvement of selected cancer-associated lncRNAs in Estrogen Receptor (ER) signaling. Prior studies by Chromatin Immunoprecipitation (ChIP) Sequencing showed that in prostate cancer cells ERs form a complex with the endothelial nitric oxide synthase (eNOS) and that in turn these complexes associate with chromatin in an estrogen-dependent fashion. Among these associations (peaks) we focused our attention on those proximal to the regulatory region of HOTAIR and MALAT1. These transcripts appeared regulated by estrogens and able to control ERs function by interacting with ER\u3b1/ER\u3b2 as indicated by RNA-ChIP. Further studies performed by ChIRP revealed that in unstimulated condition, HOTAIR and MALAT1 were present on pS2, hTERT and HOTAIR promoters at the ERE/eNOS peaks. Interestingly, upon treatment with17\u3b2-estradiol HOTAIR recruitment to chromatin increased significantly while that of MALAT1 was reduced, suggesting an opposite regulation and function for these lncRNAs. Similar results were obtained in cells and in an ex vivo prostate organotypic slice cultures. Overall, our data provide evidence of a crosstalk between lncRNAs, estrogens and estrogen receptors in prostate cancer with important consequences on gene expression regulatio

Analysis of human MDM4 variants in papillary thyroid carcinomas reveals new potential markers of cancer properties

A wild-type (wt) p53 gene characterizes thyroid tumors, except for the rare anaplastic histotype. Because p53 inactivation is a prerequisite for tumor development, alterations of p53 regulators represent an alternative way to impair p53 function. Indeed, murine double minute 2 (MDM2), the main p53 negative regulator, is overexpressed in many tumor histotypes including those of the thyroid. A new p53 regulator, MDM4 (a.k.a. MDMX or HDMX) an analog of MDM2, represents a new oncogene although its impact on tumor properties remains largely unexplored. We estimated levels of MDM2, MDM4, and its variants, MDM4-S (originally HDMX-S) and MDM4-211 (originally HDMX211), in a group of 57 papillary thyroid carcinomas (PTC), characterized by wt tumor protein 53, in comparison to matched contra-lateral lobe normal tissue. Further, we evaluated the association between expression levels of these genes and the histopathological features of tumors. Quantitative real-time polymerase chain reaction revealed a highly significant downregulation of MDM4 mRNA in tumor tissue compared to control tissue (P < 0.0001), a finding confirmed by western blot on a subset of 20 tissue pairs. Moreover, the tumor-to-normal ratio of MDM4 levels for each individual was significantly lower in late tumor stages, suggesting a specific downregulation of MDM4 expression with tumor progression. In comparison, MDM2 messenger RNA (mRNA) and protein levels were frequently upregulated with no correlation with MDM4 levels. Lastly, we frequently detected overexpression of MDM4-S mRNA and presence of the aberrant form, MDM4-211 in this tumor group. These findings indicate that MDM4 alterations are a frequent event in PTC. It is worthy to note that the significant downregulation of full-length MDM4 in PTC reveals a novel status of this factor in human cancer that counsels careful evaluation of its role in human tumorigenesis and of its potential as therapeutic target

iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs. I. Construction and analysis of the mock data cubes

Galaxy formation and evolution simulations are essential tools to probe poorly known astrophysics processes, but particular care is needed to compare simulations with galaxy observations, as observed data need to be modelled as well. We present a method to generate mock galaxies from the hydro-dynamical IllustrisTNG simulations which are suited to compare with integral field spectroscopic observation of galaxies from the SDSS-IV/MaNGA survey. Firstly, we include the same instrumental effects and procedures as adopted in the acquisition and analysis of real data. Furthermore, we generate the galaxy spectra from the simulations using new stellar population models based on the MaNGA stellar library (MaStar). In this way, our mock data cubes have the same spatial sampling, cover the same wavelength range (3600-10300 \r{A}), and share the same spectral resolution ($R\approx1800$) and flux calibration of real MaNGA galaxy spectra. In this first paper, we demonstrate the method over an early-type and a late-type simulated galaxy from TNG50. We analyse the correspondent mock MaNGA-like data cubes with the same full spectral fitting code, \textsc{FIREFLY}, which was used for the observed spectra. We find that the intrinsic and recovered age and metallicity gradients are consistent within 1${\sigma}$, with residuals over all tassels consistent with $0$ at the 68$\%$ confidence level. We also perform the challenging test at comparing intrinsic and recovered star formation histories, finding a close resemblance between input and output. In follow-up papers, we will present a full simulated MaNGA-like catalogue ($\approx10,000$ galaxies) with a comprehensive comparison of TNG50 simulations to MaNGA observational results