scispace - formally typeset
Search or ask a question
Institution

University of Perugia

EducationPerugia, Umbria, Italy
About: University of Perugia is a education organization based out in Perugia, Umbria, Italy. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 13365 authors who have published 39516 publications receiving 1265601 citations. The organization is also known as: Universitá degli Studi di Perugia & Universita degli Studi di Perugia.


Papers
More filters
Journal ArticleDOI
TL;DR: A positive and significant association between UA and several inflammatory markers was found in a large population-based sample of older persons and in a sub-sample of participants with normal UA, and the prevalence of abnormally high levels of C-reactive protein and IL-6 increased significantly across UA quintiles.
Abstract: Aims The role of uric acid (UA) in the process of atherosclerosis and atherotrombosis is controversial. Epidemiological studies have recently shown that UA may be a risk factor for cardiovascular diseases and a negative prognostic marker for mortality in subjects with pre-existing heart failure. Methods and results We evaluate a relationship between UA levels and several inflammatory markers in 957 subjects, free of severe renal failure, from a representative Italian cohort of persons aged 65–95. Plasma levels of UA and white blood cell (WBC) and neutrophil count, C-reactive protein, interleukin-1 receptor antagonist (IL-1ra), interleukin-6 (IL-6), soluble IL-6 receptor (sIL-6r), interleukin-18 (IL-18), and tumor necrosis factor-α (TNF-α) were measured. Complete information on potential confounders was collected using standard methods. WBC ( P =0.0001), neutrophils ( P <0.0001), C-reactive protein ( P <0.0001), IL-1ra ( P <0.0001), IL-6 ( P =0.0004), sIL-6r ( P =0.002), IL-18 ( P <0.0001), TNF-α ( P =0.0008), and the percentage of subjects with abnormally high levels of C-reactive protein ( P =0.004) and IL-6 ( P =<0.0001) were significantly higher across UA quintiles. After adjustment for age, sex, behaviour- and disease-related confounders, results were virtually unchanged. In subjects with UA within the normal range, UA was significantly and independently associated with neutrophils count, C-reactive protein, IL-6, IL-1ra, IL-18, and TNF-α, whereas non-significant trends were observed for WBC ( P =0.1) and sIL-6r ( P =0.2). Conclusion A positive and significant association between UA and several inflammatory markers was found in a large population-based sample of older persons and in a sub-sample of participants with normal UA. Accordingly, the prevalence of abnormally high levels of C-reactive protein and IL-6 increased significantly across UA quintiles.

479 citations

Journal ArticleDOI
TL;DR: IGRAs may have a relative advantage over the TST in detecting LTBI and allow the exclusion of M. tuberculosis infection with higher reliability.
Abstract: We conducted a systematic review and meta-analysis to compare the accuracy of the QuantiFERON-TB® Gold In-Tube (QFT-G-IT) and the T-SPOT®.TB assays with the tuberculin skin test (TST) for the diagnosis of latent Mycobacterium tuberculosis infection (LTBI). The Medline, Embase and Cochrane databases were explored for relevant articles in November 2009. Specificities, and negative (NPV) and positive (PPV) predictive values of interferon-γ release assays (IGRAs) and the TST, and the exposure gradient influences on test results among bacille Calmette-Guerin (BCG) vaccinees were evaluated. Specificity of IGRAs varied 98-100%. In immunocompetent adults, NPV for progression to tuberculosis within 2 yrs were 97.8% for T-SPOT®.TB and 99.8% for QFT-G-IT. When test performance of an immunodiagnostic test was not restricted to prior positivity of another test, progression rates to tuberculosis among IGRA-positive individuals followed for 19-24 months varied 8-15%, exceeding those reported for the TST (2-3%). In multivariate analyses, the odd ratios for TST positivity following BCG vaccination varied 3-25, whereas IGRA results remained uninfluenced and IGRA positivity was clearly associated with exposure to contagious tuberculosis cases. IGRAs may have a relative advantage over the TST in detecting LTBI and allow the exclusion of M. tuberculosis infection with higher reliability.

478 citations

Book ChapterDOI
TL;DR: In this article, thermal reactions in aqueous colloidal systems are analyzed from a mechanistic point of view, and discussion is focused on organic reactions in micelles or other colloidal droplets.
Abstract: Publisher Summary This chapter discusses thermal reactions in aqueous colloidal systems. It aims is to analyze the reactions from a mechanistic point of view, and therefore discussion is focused on organic reactions in aqueous micelles. The structure of micelles or other colloidal droplets is considered only to the extent needed to understand reactivity. A key feature of micelles and similar colloidal aggregates is that they can incorporate solutes. For example an ionic micelle can bind a non-ionic solute and also, by virtue of its charge, attract counterions. It may affect reaction rates and equilibria by bringing reactants together or keeping them apart, but because the micelle can exert a medium effect it is necessary to separate the “medium” and “concentration” effects of the micelle. It reviews that the overall subject of reaction in submicroscopic aggregates has expanded so rapidly and in so many different directions that interest on specific areas has to be focused. The general principles, which govern the effects of normal, aqueous, micelles on reaction rates and equilibria are considered and some specific reactions and the relation of micellar effects to mechanism are discussed.

477 citations

Journal ArticleDOI
Daniel E. Neafsey1, Robert M. Waterhouse, Mohammad Reza Abai2, Sergey Aganezov3, Max A. Alekseyev3, James E. Allen4, James Amon, Bruno Arcà5, Peter Arensburger6, Gleb N. Artemov7, Lauren A. Assour8, Hamidreza Basseri2, Aaron M. Berlin1, Bruce W. Birren1, Stéphanie Blandin9, Stéphanie Blandin10, Andrew I. Brockman11, Thomas R. Burkot12, Austin Burt11, Clara S. Chan13, Cedric Chauve14, Joanna C. Chiu15, Mikkel B. Christensen4, Carlo Costantini16, Victoria L.M. Davidson17, Elena Deligianni18, Tania Dottorini11, Vicky Dritsou19, Stacey Gabriel1, Wamdaogo M. Guelbeogo, Andrew Brantley Hall20, Mira V. Han21, Thaung Hlaing, Daniel S.T. Hughes4, Daniel S.T. Hughes22, Adam M. Jenkins23, Xiaofang Jiang20, Irwin Jungreis13, Evdoxia G. Kakani19, Evdoxia G. Kakani24, Maryam Kamali20, Petri Kemppainen25, Ryan C. Kennedy26, Ioannis K. Kirmitzoglou11, Ioannis K. Kirmitzoglou27, Lizette L. Koekemoer28, Njoroge Laban, Nicholas Langridge4, Mara K. N. Lawniczak11, Manolis Lirakis29, Neil F. Lobo8, Ernesto Lowy4, Robert M. MacCallum11, Chunhong Mao20, Gareth Maslen4, Charles Mbogo30, Jenny McCarthy6, Kristin Michel17, Sara N. Mitchell24, Wendy Moore31, Katherine A. Murphy15, Anastasia N. Naumenko20, Tony Nolan11, Eva Maria Novoa13, Samantha M. O’Loughlin11, Chioma Oringanje31, Mohammad Ali Oshaghi2, Nazzy Pakpour15, Philippos Aris Papathanos11, Philippos Aris Papathanos19, Ashley Peery20, Michael Povelones32, Anil Prakash33, David P. Price34, Ashok Rajaraman14, Lisa J. Reimer35, David C. Rinker36, Antonis Rokas37, Tanya L. Russell12, N’Fale Sagnon, Maria V. Sharakhova20, Terrance Shea1, Felipe A. Simão38, Felipe A. Simão39, Frédéric Simard16, Michel A. Slotman40, Pradya Somboon41, V. N. Stegniy7, Claudio J. Struchiner42, Claudio J. Struchiner43, Gregg W.C. Thomas44, Marta Tojo45, Pantelis Topalis18, Jose M. C. Tubio46, Maria F. Unger8, John Vontas29, Catherine Walton25, Craig S. Wilding47, Judith H. Willis48, Yi-Chieh Wu49, Yi-Chieh Wu13, Guiyun Yan50, Evgeny M. Zdobnov38, Evgeny M. Zdobnov39, Xiaofan Zhou37, Flaminia Catteruccia24, Flaminia Catteruccia19, George K. Christophides11, Frank H. Collins8, Robert S. Cornman48, Andrea Crisanti19, Andrea Crisanti11, Martin J. Donnelly35, Martin J. Donnelly46, Scott J. Emrich8, Michael C. Fontaine51, Michael C. Fontaine8, William M. Gelbart24, Matthew W. Hahn44, Immo A. Hansen34, Paul I. Howell52, Fotis C. Kafatos11, Manolis Kellis13, Daniel Lawson4, Christos Louis18, Shirley Luckhart15, Marc A. T. Muskavitch23, Marc A. T. Muskavitch53, José M. C. Ribeiro, Michael A. Riehle31, Igor V. Sharakhov20, Zhijian Tu20, Laurence J. Zwiebel37, Nora J. Besansky8 
Broad Institute1, Tehran University of Medical Sciences2, George Washington University3, European Bioinformatics Institute4, Sapienza University of Rome5, Temple University6, Tomsk State University7, University of Notre Dame8, Centre national de la recherche scientifique9, French Institute of Health and Medical Research10, Imperial College London11, James Cook University12, Massachusetts Institute of Technology13, Simon Fraser University14, University of California, Davis15, Institut de recherche pour le développement16, Kansas State University17, Foundation for Research & Technology – Hellas18, University of Perugia19, Virginia Tech20, University of Nevada, Las Vegas21, Baylor College of Medicine22, Boston College23, Harvard University24, University of Manchester25, University of California, San Francisco26, University of Cyprus27, National Health Laboratory Service28, University of Crete29, Kenya Medical Research Institute30, University of Arizona31, University of Pennsylvania32, Indian Council of Medical Research33, New Mexico State University34, Liverpool School of Tropical Medicine35, Vanderbilt University Medical Center36, Vanderbilt University37, Swiss Institute of Bioinformatics38, University of Geneva39, Texas A&M University40, Chiang Mai University41, Rio de Janeiro State University42, Oswaldo Cruz Foundation43, Indiana University44, University of Santiago de Compostela45, Wellcome Trust Sanger Institute46, Liverpool John Moores University47, University of Georgia48, Harvey Mudd College49, University of California, Irvine50, University of Groningen51, Centers for Disease Control and Prevention52, Biogen Idec53
02 Jan 2015-Science
TL;DR: The authors investigated the genomic basis of vectorial capacity and explore new avenues for vector control, sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila.
Abstract: Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history To investigate the genomic basis of vectorial capacity and explore new avenues for vector control, we sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila Some determinants of vectorial capacity, such as chemosensory genes, do not show elevated turnover but instead diversify through protein-sequence changes This dynamism of anopheline genes and genomes may contribute to their flexible capacity to take advantage of new ecological niches, including adapting to humans as primary hosts

476 citations

Journal ArticleDOI
A. A. Abdo1, A. A. Abdo2, Markus Ackermann3, Marco Ajello3  +254 moreInstitutions (38)
TL;DR: In this article, the authors presented the initial results for energies above 100 MeV for the 205 most significant (statistical significance greater than 10-sigma) gamma-ray sources in early-mission data.
Abstract: Following its launch in June 2008, the Fermi Gamma-ray Space Telescope (Fermi) began a sky survey in August. The Large Area Telescope (LAT) on Fermi in 3 months produced a deeper and better-resolved map of the gamma-ray sky than any previous space mission. We present here initial results for energies above 100 MeV for the 205 most significant (statistical significance greater than 10-sigma) gamma-ray sources in these data. These are the best-characterized and best-localized gamma-ray sources in the early-mission data.

476 citations


Authors

Showing all 13488 results

NameH-indexPapersCitations
Michael Grätzel2481423303599
Luigi Ferrucci1931601181199
Tobin J. Marks1591621111604
Johan Auwerx15865395779
Tony Pawson15042585196
Jack Hirsh14673486332
Alexander Belyaev1421895100796
R. L. McCarthy1411238115696
Harvey B Newman139159488308
Guido Tonelli138145897248
Elias Campo13576185160
Alberto Messineo134151196492
Franco Ligabue134140495389
Roberto Tenchini133139094541
R. Bartoldus132162497405
Network Information
Related Institutions (5)
University of Padua
114.8K papers, 3.6M citations

98% related

Sapienza University of Rome
155.4K papers, 4.3M citations

98% related

University of Bologna
115.1K papers, 3.4M citations

98% related

University of Milan
139.7K papers, 4.6M citations

97% related

University of Turin
77.9K papers, 2.4M citations

97% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023108
2022226
20212,487
20202,594
20192,362
20182,274