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Institution

Casa Sollievo della Sofferenza

HealthcareSan Giovanni Rotondo, Italy
About: Casa Sollievo della Sofferenza is a healthcare organization based out in San Giovanni Rotondo, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 2234 authors who have published 6183 publications receiving 239811 citations. The organization is also known as: Home for Relief of the Suffering.


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Journal ArticleDOI
TL;DR: This study suggests that schizophrenia is associated with substantial brain structural heterogeneity beyond the mean differences, which may reflect higher sensitivity to environmental and genetic perturbations in patients, supporting the heterogeneous nature of schizophrenia.
Abstract: Importance Between-individual variability in brain structure is determined by gene-environment interactions, possibly reflecting differential sensitivity to environmental and genetic perturbations. Magnetic resonance imaging (MRI) studies have revealed thinner cortices and smaller subcortical volumes in patients with schizophrenia. However, group-level comparisons may mask considerable within-group heterogeneity, which has largely remained unnoticed in the literature. Objectives To compare brain structural variability between individuals with schizophrenia and healthy controls and to test whether respective variability reflects the polygenic risk score (PRS) for schizophrenia in an independent sample of healthy controls. Design, Setting, and Participants This case-control and polygenic risk analysis compared MRI-derived cortical thickness and subcortical volumes between healthy controls and patients with schizophrenia across 16 cohorts and tested for associations between PRS and MRI features in a control cohort from the UK Biobank. Data were collected from October 27, 2004, through April 12, 2018, and analyzed from December 3, 2017, through August 1, 2018. Main Outcomes and Measures Mean and dispersion parameters were estimated using double generalized linear models. Vertex-wise analysis was used to assess cortical thickness, and regions-of-interest analyses were used to assess total cortical volume, total surface area, and white matter, subcortical, and hippocampal subfield volumes. Follow-up analyses included within-sample analysis, test of robustness of the PRS threshold, population covariates, outlier removal, and control for image quality. Results A comparison of 1151 patients with schizophrenia (mean [SD] age, 33.8 [10.6] years; 68.6% male [n = 790] and 31.4% female [n = 361]) with 2010 healthy controls (mean [SD] age, 32.6 [10.4] years; 56.0% male [n = 1126] and 44.0% female [n = 884]) revealed higher heterogeneity in schizophrenia for cortical thickness and area (t= 3.34), cortical (t = 3.24) and ventricle (trange, 3.15-5.78) volumes, and hippocampal subfields (trange, 2.32-3.55). In the UK Biobank sample of 12 490 participants (mean [SD] age, 55.9 [7.5] years; 48.2% male [n = 6025] and 51.8% female [n = 6465]), higher PRS was associated with thinner frontal and temporal cortices and smaller left CA2/3 (t = −3.00) but was not significantly associated with dispersion. Conclusions and Relevance This study suggests that schizophrenia is associated with substantial brain structural heterogeneity beyond the mean differences. These findings may reflect higher sensitivity to environmental and genetic perturbations in patients, supporting the heterogeneous nature of schizophrenia. A higher PRS was associated with thinner frontotemporal cortices and smaller hippocampal subfield volume, but not heterogeneity. This finding suggests that brain variability in schizophrenia results from interactions between environmental and genetic factors that are not captured by the PRS. Factors contributing to heterogeneity in frontotemporal cortices and hippocampus are key to furthering our understanding of how genetic and environmental factors shape brain biology in schizophrenia.

179 citations

Journal ArticleDOI
TL;DR: Screening a large cohort of patients with Noonan syndrome and ML/LS in order to expand the genotype–phenotype correlation analysis, with particular emphasis on cardiac diseases found an association between pulmonary stenosis and PTPN11 mutations.
Abstract: Noonan syndrome (MIM 163950), an autosomal dominant disorder with an estimated prevalence of 1/1000–2500 at birth, is characterised by short stature, facial anomalies, pterygium colli, and congenital heart disease.1,2 Although pulmonary valve stenosis with dysplastic leaflets, hypertrophic cardiomyopathy, and atrial septal defects (ASD) are the most common congenital heart defects in Noonan syndrome,3 a broad spectrum of cardiac phenotypes has been recognised.2–6 About half the affected individuals have PTPN11 gene mutations.7–9 This gene, which maps to chromosome 12q22-qter,10 encodes for the human SH2 domain containing protein tyrosine phosphatase (SHP2).11 PTPN11 gene mutations have also been detected in multiple lentigines/LEOPARD syndrome (multiple lentigines, ECG conduction abnormalities, ocular hypertelorism, pulmonary stenosis, abnormal genitalia, retardation of growth and sensorineural deafness; ML/LS, MIM 151100),12,13 in Noonan-like/multiple giant cell lesion syndrome (MIM 163955),8 in two families presumably affected by cardio-facio-cutaneous syndrome (CFCS, MIM 115150),14 but not in sporadic CFCS.15 The clinical and genetic heterogeneity of these disorders suggests a possible relation between different PTPN11 gene mutations and distinct clinical features. A genotype–phenotype correlation study in Noonan syndrome found an association between pulmonary stenosis and PTPN11 mutations.8 Our aim in this study was to screen a large cohort of patients with Noonan syndrome and ML/LS in order to expand the genotype–phenotype correlation analysis, with particular emphasis on cardiac diseases. ### Key points

178 citations

Journal ArticleDOI
TL;DR: Late‐onset Alzheimer's disease (AD) is heritable with 20 genes showing genome‐wide association in the International Genomics of Alzheimer's Project (IGAP), and this work extended these genetic data in a pathway analysis.
Abstract: Background Late-onset Alzheimer's disease (AD) is heritable with 20 genes showing genome-wide association in the International Genomics of Alzheimer's Project (IGAP). To identify the biology underlying the disease, we extended these genetic data in a pathway analysis. Methods The ALIGATOR and GSEA algorithms were used in the IGAP data to identify associated functional pathways and correlated gene expression networks in human brain. Results ALIGATOR identified an excess of curated biological pathways showing enrichment of association. Enriched areas of biology included the immune response ( P = 3.27 × 10 −12 after multiple testing correction for pathways), regulation of endocytosis ( P = 1.31 × 10 −11 ), cholesterol transport ( P = 2.96 × 10 −9 ), and proteasome-ubiquitin activity ( P = 1.34 × 10 −6 ). Correlated gene expression analysis identified four significant network modules, all related to the immune response (corrected P = .002–.05). Conclusions The immune response, regulation of endocytosis, cholesterol transport, and protein ubiquitination represent prime targets for AD therapeutics.

178 citations

Journal ArticleDOI
TL;DR: In Methods, the administration of VPA and TSA for in vivo antitumor activity studies should be “intraperitoneally for 21 d at a dose of 400 mg/kg twice daily and 1mg/kg/d, respectively.
Abstract: Nat. Med. 11, 71–76 (2005) In Fig. 2a, the second and fourth graphs in the lower row should be marked Tnfrsf10b and Tnfrsf6, respectively. In Fig. 2b, the gene symbol Tp53 should read Tp53−/−. In Methods, the administration of VPA and TSA for in vivo antitumor activity studies should be “intraperitoneally for 21 d at a dose of 400 mg/kg twice daily and 1 mg/kg/d, respectively.

178 citations

Journal ArticleDOI
TL;DR: The risk of death was increased in patients aged 75 years or over or renal failure at presentation, occurrence of infections, cardiac or gastrointestinal adverse events negatively affected survival and more intensive approaches, such as the combination of bortezomib-thalidomide, negatively affected outcome.
Abstract: Thalidomide and bortezomib are extensively used to treat elderly myeloma patients. In these patients, treatment-related side effects are frequent and full drug doses difficult to tolerate. We retrospectively analyzed data from 1435 elderly patients enrolled in 4 European phase III trials including thalidomide and/or bortezomib. After a median follow up of 33 months (95%CI: 10–56 months), 513 of 1435 patients (36%) died; median overall survival was 50 months (95%CI: 46–60 months). The risk of death was increased in patients aged 75 years or over (HR 1.44, 95%CI: 1.20–1.72; P<0.001), in patients with renal failure (HR 2.02, 95%CI: 1.51–2.70; P<0.001), in those who experienced grade 3–4 infections, cardiac or gastrointestinal adverse events during treatment (HR 2.53, 95%CI: 1.75–3.64; P<0.001) and in those who required drug discontinuation due to adverse events (HR 1.67, 95%CI; 1.12–2.51; P=0.01). This increased risk was restricted to the first six months after occurrence of adverse events or drug discontinuation and declined over time. More intensive approaches, such as the combination of bortezomib-thalidomide, negatively affected outcome. Bortezomib-based combinations may overcome the negative impact of renal failure. Age 75 years or over or renal failure at presentation, occurrence of infections, cardiac or gastrointestinal adverse events negatively affected survival. A detailed geriatric assessment, organ evaluation and less intense individualized approaches are suggested in elderly unfit subjects.

177 citations


Authors

Showing all 2237 results

NameH-indexPapersCitations
Ralph B. D'Agostino2261287229636
Cisca Wijmenga13666886572
Massimo Mangino11636984902
Xavier Estivill11067359568
Andrea Natale10694552520
Stefano Pileri10063543369
Bruno Dallapiccola9493543208
Fortunato Ciardiello9469547352
F. Bianchi91137040011
Paolo Gasparini9143136059
Joseph G. Gleeson8630723345
Mario Rizzetto7947033693
Giuseppe Leone7465421451
Maurizio Pompili7478320649
Massimo Rugge7459425624
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
20229
2021457
2020446
2019409
2018348