Institution
University of Brescia
Education•Brescia, Italy•
About: University of Brescia is a education organization based out in Brescia, Italy. It is known for research contribution in the topics: Population & Heart failure. The organization has 8090 authors who have published 24576 publications receiving 780862 citations. The organization is also known as: Università degli Studi di Brescia & Universita degli Studi di Brescia.
Topics: Population, Heart failure, Medicine, Cancer, Blood pressure
Papers published on a yearly basis
Papers
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TL;DR: Using a variety of molecular, cytogenetic, immunohistochemical and immunofluorescence methods, it is shown that the HHV-8–infected neoplastic cells in post-transplant KS from five of eight renal transplant patients harbored either genetic or antigenic markers of their matched donors.
Abstract: Kaposi sarcoma (KS) is a vascular tumor that can develop in recipients of solid tissue transplants as a result of either primary infection or reactivation of a gammaherpesvirus, the KS- associated herpesvirus, also known as human herpesvirus-8 (HHV-8). We studied whether HHV-8 and the elusive KS progenitor cells could be transmitted from the donor through the grafts. We used a variety of molecular, cytogenetic, immunohistochemical and immunofluorescence methods to show that the HHV-8-infected neoplastic cells in post-transplant KS from five of eight renal transplant patients harbored either genetic or antigenic markers of their matched donors. These data suggest the use of donor-derived HHV-8-specific T cells for the control of post-transplant KS.
194 citations
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French Institute for Research in Computer Science and Automation1, École des ponts ParisTech2, University of Cologne3, Royal Netherlands Meteorological Institute4, Central Institution for Meteorology and Geodynamics5, University of Ljubljana6, University of Iowa7, European Centre for Medium-Range Weather Forecasts8, National Oceanic and Atmospheric Administration9, Technical University of Madrid10, Finnish Meteorological Institute11, World Meteorological Organization12, University of Brescia13
TL;DR: In this article, the authors review the current status of data assimilation in atmospheric chemistry models with a particular focus on future prospects for data-assimilation in Coupled Chemistry Meteorology Models (CCMM).
Abstract: . Data assimilation is used in atmospheric chemistry models to improve air quality forecasts, construct re-analyses of three-dimensional chemical (including aerosol) concentrations and perform inverse modeling of input variables or model parameters (e.g., emissions). Coupled chemistry meteorology models (CCMM) are atmospheric chemistry models that simulate meteorological processes and chemical transformations jointly. They offer the possibility to assimilate both meteorological and chemical data; however, because CCMM are fairly recent, data assimilation in CCMM has been limited to date. We review here the current status of data assimilation in atmospheric chemistry models with a particular focus on future prospects for data assimilation in CCMM. We first review the methods available for data assimilation in atmospheric models, including variational methods, ensemble Kalman filters, and hybrid methods. Next, we review past applications that have included chemical data assimilation in chemical transport models (CTM) and in CCMM. Observational data sets available for chemical data assimilation are described, including surface data, surface-based remote sensing, airborne data, and satellite data. Several case studies of chemical data assimilation in CCMM are presented to highlight the benefits obtained by assimilating chemical data in CCMM. A case study of data assimilation to constrain emissions is also presented. There are few examples to date of joint meteorological and chemical data assimilation in CCMM and potential difficulties associated with data assimilation in CCMM are discussed. As the number of variables being assimilated increases, it is essential to characterize correctly the errors; in particular, the specification of error cross-correlations may be problematic. In some cases, offline diagnostics are necessary to ensure that data assimilation can truly improve model performance. However, the main challenge is likely to be the paucity of chemical data available for assimilation in CCMM.
194 citations
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TL;DR: Pregnancy can be successful in most women with pre-existing LN, even for those with a severe renal involvement at onset, and Normocomplementaemia and low-dose aspirin therapy during pregnancy are independent predictors of a favourable fetal outcome.
Abstract: Background. Only few data are available on pregnancy in patients with lupus nephritis (LN) diagnosed before conception. The aim of this study was to identify the risk factors for complicated pregnancy in women with pre-existing LN. Methods. In a multicentre study, we collected data on 113 pregnancies occurring in 81 women with pre-existing biopsy-proven LN. Primary outcomes were fetal loss including perinatal death and renal flares during and 12 months after pregnancy. Univariate and logistic regression analyses were used to identify predictors of outcomes. Results. Renal biopsy performed 7.2 ± 4.9 years before pregnancy showed the following WHO classes: 6 patients in II, 8 in III, 48 in IV and 19 in V At conception, most patients were in complete (49%) or partial (27%) remission. There were nine spontaneous abortions, one stillbirth and five neonatal deaths. Thirty-one deliveries were preterm. Birth weight was <2500 g in 34 newborns. During pregnancy or after delivery, there were 34 renal flares, most of which (20) were reversible. Three patients had a progressive decline of glomerular filtration rate (one on dialysis). At logistic regression analysis, the pregnancy outcome was predicted by hypocomplementaemia at conception (RR 19.02; 90% CI 4.58-78.96) and aspirin during pregnancy (RR 0.11; 90% CI 0.03-0.38). Renal flare was predicted by renal status (partial remission RR 3.0; 90% CI 1.23-7.34, nonremission RR 9.0; 90% CI 3.59-22.57). Conclusions. Pregnancy can be successful in most women with pre-existing LN, even for those with a severe renal involvement at onset. Renal flares during and after pregnancy are not uncommon and can be predicted by renal status assessed before pregnancy. Normocomplementaemia and low-dose aspirin therapy during pregnancy are independent predictors of a favourable fetal outcome.
193 citations
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TL;DR: It is concluded that endogenous ghrelin and synthetic GHS modulate proliferation and differentiation of rat osteoblasts, probably by acting on their specific receptor.
Abstract: It has previously been reported that growth hormone secretagogues (GHS) may have a role in the regulation of bone metabolism in animals and humans. In this study we evaluated the effect of ghrelin, the endogenous ligand of GHS receptors, on the proliferation rate and on osteoblast activity in primary cultures of rat calvaria osteoblasts. In the same experiments, we compared the effects of ghrelin with those of hexarelin (HEXA) and EP-40737, two synthetic GHS with different characteristics. Both ghrelin and HEXA (10 11 -10 8 M) significantly stimulated osteoblast proliferation at low concentrations (10 10 M). Surprisingly, EP-40737 demonstrated an antiproliferative effect at 10 9 -10 8 M, whereas lower concentrations had no effect on cell proliferation. Ghrelin and HEXA significantly increased alkaline phosphatase (ALP) and osteocalcin (OC) production. At variance with these peptides, EP-40737 did not significantly stimulate ALP and OC. The mRNA for GHS-R1a receptors and the corresponding protein were detected in calvarial osteoblasts by RT-PCR and Western blot respectively, indicating that ghrelin and GHS may bind and activate this specific receptor. We conclude that endogenous ghrelin and synthetic GHS modulate proliferation and differentiation of rat osteoblasts, probably by acting on their specific receptor.
193 citations
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TL;DR: The majority of the known CNV disorders detected in the RHD cohort have previous associations with developmental delay or neuropsychiatric diseases and should be considered in this population for the diagnosis of their specific genomic disorders and for the evaluation of the potential for developmental delay.
Abstract: We examined the burden of large, rare, copy-number variants (CNVs) in 192 individuals with renal hypodysplasia (RHD) and replicated findings in 330 RHD cases from two independent cohorts. CNV distribution was significantly skewed toward larger gene-disrupting events in RHD cases compared to 4,733 ethnicity-matched controls (p = 4.8 × 10−11). This excess was attributable to known and novel (i.e., not present in any database or in the literature) genomic disorders. All together, 55/522 (10.5%) RHD cases harbored 34 distinct known genomic disorders, which were detected in only 0.2% of 13,839 population controls (p = 1.2 × 10−58). Another 32 (6.1%) RHD cases harbored large gene-disrupting CNVs that were absent from or extremely rare in the 13,839 population controls, identifying 38 potential novel or rare genomic disorders for this trait. Deletions at the HNF1B locus and the DiGeorge/velocardiofacial locus were most frequent. However, the majority of disorders were detected in a single individual. Genomic disorders were detected in 22.5% of individuals with multiple malformations and 14.5% of individuals with isolated urinary-tract defects; 14 individuals harbored two or more diagnostic or rare CNVs. Strikingly, the majority of the known CNV disorders detected in the RHD cohort have previous associations with developmental delay or neuropsychiatric diseases. Up to 16.6% of individuals with kidney malformations had a molecular diagnosis attributable to a copy-number disorder, suggesting kidney malformations as a sentinel manifestation of pathogenic genomic imbalances. A search for pathogenic CNVs should be considered in this population for the diagnosis of their specific genomic disorders and for the evaluation of the potential for developmental delay.
193 citations
Authors
Showing all 8188 results
Name | H-index | Papers | Citations |
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Alberto Mantovani | 183 | 1397 | 163826 |
Marco Colonna | 139 | 512 | 71166 |
Roberto Ferrari | 133 | 1654 | 103824 |
Lorenzo Moretta | 131 | 658 | 63417 |
Ole Røhne | 128 | 1038 | 75752 |
Yehuda Shoenfeld | 125 | 1629 | 77195 |
Andrea Carlo Marini | 123 | 1236 | 72959 |
Alessandro Moretta | 123 | 415 | 50509 |
Leonardo M. Fabbri | 109 | 566 | 60838 |
Philip A. Poole-Wilson | 105 | 443 | 66861 |
Hans D. Ochs | 102 | 419 | 39881 |
Giovanni B. Frisoni | 101 | 871 | 46199 |
Marco Metra | 99 | 825 | 49886 |
Joel D. Kopple | 99 | 388 | 34317 |
Silvano Sozzani | 98 | 335 | 43598 |