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Institution

University of Naples Federico II

EducationNaples, Campania, Italy
About: University of Naples Federico II is a education organization based out in Naples, Campania, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 29291 authors who have published 68803 publications receiving 1920149 citations. The organization is also known as: Università degli Studi di Napoli Federico II & Naples University.


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Journal ArticleDOI
Sagi Abelson1, Grace Collord2, Grace Collord3, Stanley W.K. Ng4, Omer Weissbrod5, Netta Mendelson Cohen5, Elisabeth Niemeyer5, Noam Barda, Philip C. Zuzarte6, Lawrence E. Heisler6, Yogi Sundaravadanam6, Robert Luben3, Shabina Hayat3, Ting Ting Wang1, Ting Ting Wang4, Zhen Zhao1, Iulia Cirlan1, Trevor J. Pugh1, Trevor J. Pugh4, Trevor J. Pugh6, David Soave6, Karen Ng6, Calli Latimer2, Claire Hardy2, Keiran Raine2, David T. Jones2, Diana Hoult3, Abigail Britten3, John Douglas Mcpherson6, Mattias Johansson7, Faridah Mbabaali6, Jenna Eagles6, Jessica Miller6, Danielle Pasternack6, Lee Timms6, Paul M. Krzyzanowski6, Philip Awadalla6, Rui Costa8, Eran Segal5, Scott V. Bratman1, Scott V. Bratman4, Scott V. Bratman6, Philip A. Beer2, Sam Behjati3, Sam Behjati2, Inigo Martincorena2, Jean C.Y. Wang4, Jean C.Y. Wang1, Jean C.Y. Wang9, Kristian M. Bowles10, Kristian M. Bowles11, J. Ramón Quirós, Anna Karakatsani12, Carlo La Vecchia13, Antonia Trichopoulou, Elena Salamanca-Fernández14, José María Huerta, Aurelio Barricarte, Ruth C. Travis15, Rosario Tumino, Giovanna Masala16, Heiner Boeing, Salvatore Panico17, Rudolf Kaaks18, Alwin Krämer18, Sabina Sieri, Elio Riboli19, Paolo Vineis19, Matthieu Foll7, James McKay7, Silvia Polidoro, Núria Sala, Kay-Tee Khaw3, Roel Vermeulen20, Peter J. Campbell3, Peter J. Campbell2, Elli Papaemmanuil21, Elli Papaemmanuil2, Mark D. Minden, Amos Tanay5, Ran D. Balicer, Nicholas J. Wareham3, Moritz Gerstung2, Moritz Gerstung8, John E. Dick1, John E. Dick4, Paul Brennan7, George S. Vassiliou2, George S. Vassiliou3, Liran I. Shlush1, Liran I. Shlush5 
09 Jul 2018-Nature
TL;DR: Deep sequencing is used to analyse genes that are recurrently mutated in AML to distinguish between individuals who have a high risk of developing AML and those with benign ARCH, providing proof-of-concept that it is possible to discriminate ARCH from pre-AML many years before malignant transformation.
Abstract: The incidence of acute myeloid leukaemia (AML) increases with age and mortality exceeds 90% when diagnosed after age 65. Most cases arise without any detectable early symptoms and patients usually present with the acute complications of bone marrow failure1. The onset of such de novo AML cases is typically preceded by the accumulation of somatic mutations in preleukaemic haematopoietic stem and progenitor cells (HSPCs) that undergo clonal expansion2,3. However, recurrent AML mutations also accumulate in HSPCs during ageing of healthy individuals who do not develop AML, a phenomenon referred to as age-related clonal haematopoiesis (ARCH)4–8. Here we use deep sequencing to analyse genes that are recurrently mutated in AML to distinguish between individuals who have a high risk of developing AML and those with benign ARCH. We analysed peripheral blood cells from 95 individuals that were obtained on average 6.3 years before AML diagnosis (pre-AML group), together with 414 unselected age- and gender-matched individuals (control group). Pre-AML cases were distinct from controls and had more mutations per sample, higher variant allele frequencies, indicating greater clonal expansion, and showed enrichment of mutations in specific genes. Genetic parameters were used to derive a model that accurately predicted AML-free survival; this model was validated in an independent cohort of 29 pre-AML cases and 262 controls. Because AML is rare, we also developed an AML predictive model using a large electronic health record database that identified individuals at greater risk. Collectively our findings provide proof-of-concept that it is possible to discriminate ARCH from pre-AML many years before malignant transformation. This could in future enable earlier detection and monitoring, and may help to inform intervention.

567 citations

Journal ArticleDOI
TL;DR: Studies in murine models and in a few patients with dysgenesis revealed that mutations in regulatory genes expressed in the developing thyroid are responsible for this condition, thus showing that TD can be a genetic and inheritable disease.
Abstract: Thyroid gland organogenesis results in an organ the shape, size, and position of which are largely conserved among adult individuals of the same species, thus suggesting that genetic factors must be involved in controlling these parameters. In humans, the organogenesis of the thyroid gland is often disturbed, leading to a variety of conditions, such as agenesis, ectopy, and hypoplasia, which are collectively called thyroid dysgenesis (TD). The molecular mechanisms leading to TD are largely unknown. Studies in murine models and in a few patients with dysgenesis revealed that mutations in regulatory genes expressed in the developing thyroid are responsible for this condition, thus showing that TD can be a genetic and inheritable disease. These studies open the way to a novel working hypothesis on the molecular and genetic basis of this frequent human condition and render the thyroid an important model in the understanding of molecular mechanisms regulating the size, shape, and position of organs.

566 citations

Journal ArticleDOI
S. Chatrchyan, Khachatryan1, Albert M. Sirunyan, Armen Tumasyan  +2384 moreInstitutions (207)
26 May 2014
TL;DR: In this paper, a description of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices is provided.
Abstract: A description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices. Despite the very hostile environment at the LHC, the performance obtained with these algorithms is found to be excellent. For tt events under typical 2011 pileup conditions, the average track-reconstruction efficiency for promptly-produced charged particles with transverse momenta of p_T > 0.9GeV is 94% for pseudorapidities of |η| < 0.9 and 85% for 0.9 < |η| < 2.5. The inefficiency is caused mainly by hadrons that undergo nuclear interactions in the tracker material. For isolated muons, the corresponding efficiencies are essentially 100%. For isolated muons of p_T = 100GeV emitted at |η| < 1.4, the resolutions are approximately 2.8% in p_T, and respectively, 10μm and 30μm in the transverse and longitudinal impact parameters. The position resolution achieved for reconstructed primary vertices that correspond to interesting pp collisions is 10–12μm in each of the three spatial dimensions. The tracking and vertexing software is fast and flexible, and easily adaptable to other functions, such as fast tracking for the trigger, or dedicated tracking for electrons that takes into account bremsstrahlung.

559 citations

Journal ArticleDOI
05 Sep 2019-Nature
TL;DR: Analysis of a comprehensive European flood dataset reveals regional changes in river flood discharges in the past five decades that are broadly consistent with climate model projections for the next century, suggesting that climate-driven changes are already happening and supporting calls for the consideration of climate change in flood risk management.
Abstract: Climate change has led to concerns about increasing river floods resulting from the greater water-holding capacity of a warmer atmosphere1. These concerns are reinforced by evidence of increasing economic losses associated with flooding in many parts of the world, including Europe2. Any changes in river floods would have lasting implications for the design of flood protection measures and flood risk zoning. However, existing studies have been unable to identify a consistent continental-scale climatic-change signal in flood discharge observations in Europe3, because of the limited spatial coverage and number of hydrometric stations. Here we demonstrate clear regional patterns of both increases and decreases in observed river flood discharges in the past five decades in Europe, which are manifestations of a changing climate. Our results—arising from the most complete database of European flooding so far—suggest that: increasing autumn and winter rainfall has resulted in increasing floods in northwestern Europe; decreasing precipitation and increasing evaporation have led to decreasing floods in medium and large catchments in southern Europe; and decreasing snow cover and snowmelt, resulting from warmer temperatures, have led to decreasing floods in eastern Europe. Regional flood discharge trends in Europe range from an increase of about 11 per cent per decade to a decrease of 23 per cent. Notwithstanding the spatial and temporal heterogeneity of the observational record, the flood changes identified here are broadly consistent with climate model projections for the next century4,5, suggesting that climate-driven changes are already happening and supporting calls for the consideration of climate change in flood risk management. Analysis of a comprehensive European flood dataset reveals regional changes in river flood discharges in the past five decades that are consistent with models suggesting that climate-driven changes are already happening.

558 citations

Journal ArticleDOI
TL;DR: The molecular mechanism through which clothianidin adversely affects the insect immune response and promotes replication of a viral pathogen in honey bees bearing covert infections is described and shed light on a further level of regulation of the immune response in insects and has implications for bee conservation.
Abstract: Large-scale losses of honey bee colonies represent a poorly understood problem of global importance. Both biotic and abiotic factors are involved in this phenomenon that is often associated with high loads of parasites and pathogens. A stronger impact of pathogens in honey bees exposed to neonicotinoid insecticides has been reported, but the causal link between insecticide exposure and the possible immune alteration of honey bees remains elusive. Here, we demonstrate that the neonicotinoid insecticide clothianidin negatively modulates NF-κB immune signaling in insects and adversely affects honey bee antiviral defenses controlled by this transcription factor. We have identified in insects a negative modulator of NF-κB activation, which is a leucine-rich repeat protein. Exposure to clothianidin, by enhancing the transcription of the gene encoding this inhibitor, reduces immune defenses and promotes the replication of the deformed wing virus in honey bees bearing covert infections. This honey bee immunosuppression is similarly induced by a different neonicotinoid, imidacloprid, but not by the organophosphate chlorpyriphos, which does not affect NF-κB signaling. The occurrence at sublethal doses of this insecticide-induced viral proliferation suggests that the studied neonicotinoids might have a negative effect at the field level. Our experiments uncover a further level of regulation of the immune response in insects and set the stage for studies on neural modulation of immunity in animals. Furthermore, this study has implications for the conservation of bees, as it will contribute to the definition of more appropriate guidelines for testing chronic or sublethal effects of pesticides used in agriculture.

558 citations


Authors

Showing all 29740 results

NameH-indexPapersCitations
D. M. Strom1763167194314
Yang Gao1682047146301
Robert Stone1601756167901
Elio Riboli1581136110499
Barry J. Maron15579291595
H. Eugene Stanley1541190122321
Paul Elliott153773103839
Robert O. Bonow149808114836
Kai Simons14742693178
Peter Buchholz143118192101
Martino Margoni1412059107829
H. A. Neal1411903115480
Luca Lista1402044110645
Pierluigi Paolucci1381965105050
Ari Helenius13729864789
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023234
2022660
20216,021
20205,957
20194,881
20184,267