Institution
University of Turin
Education•Turin, Piemonte, Italy•
About: University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 29607 authors who have published 77952 publications receiving 2480900 citations. The organization is also known as: Universita degli Studi di Torino & Università degli Studi di Torino.
Papers published on a yearly basis
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University of Turin1, Mayo Clinic2, Linköping University3, Osaka University4, Karolinska University Hospital5, The Catholic University of America6, Mahidol University7, University of Sydney8, University of Birmingham9, Fudan University10, University of Antwerp11, Marmara University12, Greifswald University Hospital13, Sungkyunkwan University14, Hunan Normal University15, University of Hawaii at Manoa16, Kyoto Prefectural University of Medicine17
TL;DR: In a systematic review and meta-analysis, Giovanni Musso and colleagues examine the association between non-alcoholic fatty liver disease and chronic kidney disease and finds no clear link between the two.
Abstract: Background: Chronic kidney disease (CKD) is a frequent, under-recognized condition and a risk factor for renal failure and cardiovascular disease. Increasing evidence connects non-alcoholic fatty liver disease (NAFLD) to CKD. We conducted a meta-analysis to determine whether the presence and severity of NAFLD are associated with the presence and severity of CKD. Methods and Findings: English and non-English articles from international online databases from 1980 through January 31, 2014 were searched. Observational studies assessing NAFLD by histology, imaging, or biochemistry and defining CKD as either estimated glomerular filtration rate (eGFR) ,60 ml/min/1.73 m 2 or proteinuria were included. Two reviewers extracted studies independently and in duplicate. Individual participant data (IPD) were solicited from all selected studies. Studies providing IPD were combined with studies providing only aggregate data with the two-stage method. Main outcomes were pooled using random-effects models. Sensitivity and subgroup analyses were used to explore sources of heterogeneity and the effect of potential confounders. The influences of age, whole-body/abdominal obesity, homeostasis model of insulin resistance (HOMA-IR), and duration of follow-up on effect estimates were assessed by meta-regression. Thirty-three studies (63,902 participants, 16 population-based and 17 hospital-based, 20 cross-sectional, and 13 longitudinal) were included. For 20 studies (61% of included studies, 11 cross-sectional and nine longitudinal, 29,282 participants), we obtained IPD. NAFLD was associated with an increased risk of prevalent (odds ratio [OR] 2.12, 95% CI 1.69– 2.66) and incident (hazard ratio [HR] 1.79, 95% CI 1.65–1.95) CKD. Non-alcoholic steatohepatitis (NASH) was associated with a higher prevalence (OR 2.53, 95% CI 1.58–4.05) and incidence (HR 2.12, 95% CI 1.42–3.17) of CKD than simple steatosis. Advanced fibrosis was associated with a higher prevalence (OR 5.20, 95% CI 3.14–8.61) and incidence (HR 3.29, 95% CI 2.30– 4.71) of CKD than non-advanced fibrosis. In all analyses, the magnitude and direction of effects remained unaffected by diabetes status, after adjustment for other risk factors, and in other subgroup and meta-regression analyses. In crosssectional and longitudinal studies, the severity of NAFLD was positively associated with CKD stages. Limitations of analysis are the relatively small size of studies utilizing liver histology and the suboptimal sensitivity of ultrasound and biochemistry for NAFLD detection in population-based studies. Conclusion: The presence and severity of NAFLD are associated with an increased risk and severity of CKD. Please see later in the article for the Editors’ Summary.
520 citations
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TL;DR: It is shown that, in mouse embryonic stem cells, Dnmt3b-dependent intragenic DNA methylation protects the gene body from spurious RNA polymerase II entry and cryptic transcription initiation, with implications for intragenics hypomethylation in cancer.
Abstract: In mammals, DNA methylation occurs mainly at CpG dinucleotides. Methylation of the promoter suppresses gene expression, but the functional role of gene-body DNA methylation in highly expressed genes has yet to be clarified. Here we show that, in mouse embryonic stem cells, Dnmt3b-dependent intragenic DNA methylation protects the gene body from spurious RNA polymerase II entry and cryptic transcription initiation. Using different genome-wide approaches, we demonstrate that this Dnmt3b function is dependent on its enzymatic activity and recruitment to the gene body by H3K36me3. Furthermore, the spurious transcripts can either be degraded by the RNA exosome complex or capped, polyadenylated, and delivered to the ribosome to produce aberrant proteins. Elongating RNA polymerase II therefore triggers an epigenetic crosstalk mechanism that involves SetD2, H3K36me3, Dnmt3b and DNA methylation to ensure the fidelity of gene transcription initiation, with implications for intragenic hypomethylation in cancer.
520 citations
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TL;DR: Well‐designed RCTs of adequate size and duration, with histological endpoints, are needed to assess long‐term safety and efficacy of proposed treatments on patient‐oriented clinical outcomes.
519 citations
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K. Aamodt1, A. Abrahantes Quintana, Dagmar Adamová2, Andrew Marshall Adare3 +909 more•Institutions (76)
TL;DR: In this article, the authors measured the transverse momentum spectra of primary charged particles in Pb-Pb collisions at root s(NN) = 2.76 TeV at the ALICE Collaboration at the LHC.
519 citations
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TL;DR: Experimental evidence indicates that negative verbal suggestions induce anticipatory anxiety about the impending pain increase, and this verbally-induced anxiety triggers the activation of cholecystokinin which, in turn, facilitates pain transmission, and underscores the important role of cognition in the therapeutic outcome.
517 citations
Authors
Showing all 30045 results
Name | H-index | Papers | Citations |
---|---|---|---|
Michael Grätzel | 248 | 1423 | 303599 |
Lewis C. Cantley | 196 | 748 | 169037 |
Kenneth C. Anderson | 178 | 1138 | 126072 |
Elio Riboli | 158 | 1136 | 110499 |
Giacomo Bruno | 158 | 1687 | 124368 |
Silvia Franceschi | 155 | 1340 | 112504 |
Thomas E. Starzl | 150 | 1625 | 91704 |
Paolo Boffetta | 148 | 1455 | 93876 |
Marco Costa | 146 | 1458 | 105096 |
Pier Paolo Pandolfi | 146 | 529 | 88334 |
Andrew Ivanov | 142 | 1812 | 97390 |
Chiara Mariotti | 141 | 1426 | 98157 |
Tomas Ganz | 141 | 480 | 73316 |
Jean-Pierre Changeux | 138 | 672 | 76462 |
Dong-Chul Son | 138 | 1370 | 98686 |