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Morelli F, Balzarotti N, Guarischi M, Cappagli G, Maviglia A, Crepaldi M, Orciari L, Parmiggiani A, Catalano G, Signorini S, Gori M. A novel multisensory device for the assessment and rehabilitation of perceptual and attentional competencies. Annu Int Conf IEEE Eng Med Biol Soc 2023; 2023:1-4. [PMID: 38083635 DOI: 10.1109/embc40787.2023.10340824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The present study aims to assess a novel technological device suitable for investigating perceptual and attentional competencies in people with or without sensory impairment. The TechPAD is a cabled system including embedded sensors and actuators to enable visual, auditory, and tactile interactions and a capacitive surface receiving inputs from the user. The system is conceived to create multisensory environments, using multiple units controlled separately and simultaneously. We assessed the device by adapting a spatial attention task comparing performances in different cognitive load conditions (high or low) and stimulation (unimodal, bimodal, or trimodal). 28 sighted adults were asked to monitor both the central and peripheral parts of the device and to tap a target stimulus (either visual, auditory, haptic, or multimodal) as fast as they could. Our results suggest that this new device can provide congruent and incongruent multimodal stimuli and quantitatively measure parameters such as reaction time and accuracy, allowing to investigate perceptual mechanisms in multisensory environments.Clinical Relevance-The TechPad is a reliable tool for the assessment of spatial attention during interactive tasks. its application in clinical trials will pave the way to its role in multisensory rehabilitation.
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Cappagli G, Cuturi LF, Signorini S, Morelli F, Cocchi E, Gori M. Early visual deprivation disrupts the mental representation of numbers in visually impaired children. Sci Rep 2022; 12:22538. [PMID: 36581659 PMCID: PMC9800586 DOI: 10.1038/s41598-022-25044-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 11/23/2022] [Indexed: 12/30/2022] Open
Abstract
Several shreds of evidence indicate that visual deprivation does not alter numerical competence neither in adults nor in children. However, studies reporting non-impaired numerical abilities in the visually impaired population present some limitations: (a) they mainly assessed the ability to process numbers (e.g. mathematical competence) rather than represent numbers (e.g. mental number line); (b) they principally focused on positive rather than negative number estimates; (c) they investigated numerical abilities in adult individuals except one focusing on children (Crollen et al. in Cognition 210:104586, 2021). Overall, this could limit a comprehensive explanation of the role exerted by vision on numerical processing when vision is compromised. Here we investigated how congenital visual deprivation affects the ability to represent positive and negative numbers in horizontal and sagittal planes in visually impaired children (thirteen children with low vision, eight children with complete blindness, age range 6-15 years old). We adapted the number-to-position paradigm adopted by Crollen et al. (Cognition 210:104586, 2021), asking children to indicate the spatial position of positive and negative numbers on a graduated rule positioned horizontally or sagittally in the frontal plane. Results suggest that long-term visual deprivation alters the ability to identify the spatial position of numbers independently of the spatial plane and the number polarity. Moreover, results indicate that relying on poor visual acuity is detrimental for low vision children when asked to localize both positive and negative numbers in space, suggesting that visual experience might have a differential role in numerical processing depending on number polarity. Such findings add knowledge related to the impact of visual experience on numerical processing. Since both positive and negative numbers are fundamental aspects of learning mathematical principles, the outcomes of the present study inform about the need to implement early rehabilitation strategies to prevent the risk of numerical difficulties in visually impaired children.
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Affiliation(s)
- G. Cappagli
- grid.25786.3e0000 0004 1764 2907Unit for Visually Impaired People (UVIP), Istituto Italiano di Tecnologia, Via Melen 83, 16100 Genova, Italy ,grid.419416.f0000 0004 1760 3107Developmental Neuro-Ophthalmology Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - L. F. Cuturi
- grid.25786.3e0000 0004 1764 2907Unit for Visually Impaired People (UVIP), Istituto Italiano di Tecnologia, Via Melen 83, 16100 Genova, Italy ,grid.10438.3e0000 0001 2178 8421Department of Cognitive, Psychological, Pedagogical Sciences and of Cultural Studies, University of Messina, Messina, Italy
| | - S. Signorini
- grid.419416.f0000 0004 1760 3107Developmental Neuro-Ophthalmology Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - F. Morelli
- grid.419416.f0000 0004 1760 3107Developmental Neuro-Ophthalmology Unit, IRCCS Mondino Foundation, Pavia, Italy ,grid.8982.b0000 0004 1762 5736Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | | | - M. Gori
- grid.25786.3e0000 0004 1764 2907Unit for Visually Impaired People (UVIP), Istituto Italiano di Tecnologia, Via Melen 83, 16100 Genova, Italy
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Vitale M, Della Pepa G, Costabile G, Bozzetto L, Cipriano P, Signorini S, Leoni V, Riccardi G, Vaccaro O, Masulli M. Association between Diet Quality and Index of Non-Alcoholic Steatohepatitis in a Large Population of People with Type 2 Diabetes: Data from the TOSCA.IT Study. Nutrients 2022; 14:nu14245339. [PMID: 36558498 PMCID: PMC9783620 DOI: 10.3390/nu14245339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 12/10/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
Background: There are still open questions with respect to the optimal dietary treatment in patients with type 2 diabetes (T2D) and coexisting non-alcoholic steatohepatitis (NASH). The aim of this study is to investigate, in patients with T2D, the association between NASH, dietary component intake, food groups and adherence to the Mediterranean diet. Methods: Cross-sectional analysis of 2026 people with T2D (1136 men and 890 women). The dietary habits were assessed with the European Prospective Investigation into Cancer and Nutrition (EPIC) questionnaire. NASH was identified by the Index Of NASH (ION). Based on the cluster analysis two dietary patterns were identified: the NASH and the NO-NASH pattern. Results: The macronutrient composition of the diet was similar in the two patterns. However, the NASH pattern compared with the NO-NASH pattern was characterized by a significantly lower content of fibre (p < 0.001), β-carotene (p < 0.001), vitamin C (p < 0.001), vitamin E (p < 0.001), polyphenols (p = 0.026) and antioxidant capacity (p < 0.001). With regard to food consumption, the NASH pattern compared with NO-NASH pattern was characterized by higher intake of rice (p = 0.021), potatoes (p = 0.013), red (p = 0.004) and processed meat (p = 0.003), and a lower intake of wholegrain bread (p = 0.019), legumes and nuts (p = 0.049), vegetables (p = 0.047), fruits (p = 0.002), white meat (p = 0.001), fatty fish (p = 0.005), milk and yogurt (p < 0.001). Conclusions: NO-NASH dietary pattern was characterized by a food consumption close to the Mediterranean dietary model, resulting in a higher content of polyphenols, vitamins, and fibre. These finding highlight the potential for dietary components in the prevention/treatment of NASH in people with T2D.
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Affiliation(s)
- Marilena Vitale
- Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy
| | - Giuseppe Della Pepa
- Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy
| | - Giuseppina Costabile
- Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy
| | - Lutgarda Bozzetto
- Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy
| | - Paola Cipriano
- Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy
| | - Stefano Signorini
- Laboratory of Clinical Biochemistry, Hospital Pius XI of Desio, ASST-Brianza, 20833 Desio, Italy
| | - Valerio Leoni
- Laboratory of Clinical Biochemistry, Hospital Pius XI of Desio, ASST-Brianza, 20833 Desio, Italy
- Department of Medicine and Surgery, University of Milano-Bicocca, 20216 Monza, Italy
| | - Gabriele Riccardi
- Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy
| | - Olga Vaccaro
- Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy
- Correspondence: ; Tel.: +39-081-746-3665
| | - Maria Masulli
- Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy
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Eskenazi B, Ames J, Rauch S, Signorini S, Brambilla P, Mocarelli P, Siracusa C, Holland N, Warner M. Dioxin exposure associated with fecundability and infertility in mothers and daughters of Seveso, Italy. Hum Reprod 2021; 36:794-807. [PMID: 33367671 PMCID: PMC7891815 DOI: 10.1093/humrep/deaa324] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 10/23/2020] [Indexed: 11/12/2022] Open
Abstract
STUDY QUESTION Is there an association between 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) exposure and fecundability and infertility among Seveso women and their daughters? SUMMARY ANSWER TCDD exposure is associated with a decrease in fecundability and increased risk of infertility in women, as well as their daughters. WHAT IS KNOWN ALREADY In animal studies, maternal exposure to TCDD is associated with decreased fertility in offspring. Effects of TCDD are mediated by activation of the aryl hydrocarbon receptor (AHR) pathway. STUDY DESIGN, SIZE, DURATION The Seveso Women's Health Study (SWHS) has followed 981 women exposed to TCDD in a 1976 accident since 1996. In 2014, we initiated the Seveso Second Generation Study to follow-up their children. PARTICIPANTS/MATERIALS, SETTING, METHODS We obtained information on pregnancy history including time of trying to conceive from SWHS women and their daughters who were 18 years or older. We considered TCDD exposure as initial 1976 serum TCDD concentration and estimated TCDD at pregnancy. We examined relationships of TCDD exposure with time to pregnancy (TTP, the monthly probability of conception within the first 12 months of trying) and infertility (≥12 months of trying to conceive). We also assessed contributions of polymorphisms in the AHR pathway via genetic risk score. MAIN RESULTS AND THE ROLE OF CHANCE Among SWHS women (n = 446), median TTP was 3 months and 18% reported taking ≥12 months to conceive. Initial 1976 TCDD (log10) was associated with longer TTP (adjusted fecundability odds ratio = 0.82; 95% CI 0.68-0.98) and increased risk of infertility (adjusted relative risk = 1.35; 95% CI 1.01-1.79). TCDD at pregnancy yielded similar associations. Among SWHS daughters (n = 66), median TTP was 2 months and 11% reported taking ≥12 months to conceive. Daughters showed similar, but non-significant, associations with maternal TCDD exposure. LIMITATIONS, REASONS FOR CAUTION A limitation of this study is time to pregnancy was reported retrospectively, although previous studies have found women are able to recall time to conception with a high degree of accuracy many years after the fact. The number of SWHS daughters who had a live birth was small and we were unable to examine fecundability of SWHS sons. WIDER IMPLICATIONS OF THE FINDINGS Consistent with previous findings in animal studies, our study found that TCDD exposure may be associated with decreased fertility in Seveso mothers and potentially in their daughters exposed in utero. There may be susceptible genetic subgroups. The literature has largely considered the genetics of the AHR pathway in the context of male fertility but not female fertility, despite strong biological plausibility. These findings should be replicated in larger populations and of different ancestry. Future studies in Seveso should examine the sons and the grandchildren of exposed mothers given the animal literature suggesting potential heritable epigenetic effects. STUDY FUNDING/COMPETING INTEREST(S) This study was supported by grant numbers F06 TW02075-01 from the National Institutes of Health, R01 ES07171 and 2P30-ESO01896-17 from the National Institute of Environmental Health Sciences, R82471 from the U.S. Environmental Protection Agency and #2896 from Regione Lombardia and Fondazione Lombardia Ambiente, Milan, Italy. J.A. was supported by F31ES026488 from the National Institutes of Health. The authors declare they have no actual or potential competing financial interests. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Brenda Eskenazi
- Center for Environmental Research and Children’s Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Jennifer Ames
- Center for Environmental Research and Children’s Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Stephen Rauch
- Center for Environmental Research and Children’s Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Stefano Signorini
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio-Milano, Italy
| | - Paolo Brambilla
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio-Milano, Italy
| | - Paolo Mocarelli
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio-Milano, Italy
| | - Claudia Siracusa
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio-Milano, Italy
| | - Nina Holland
- Center for Environmental Research and Children’s Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Marcella Warner
- Center for Environmental Research and Children’s Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
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Maloberti A, Qualliu E, Occhi L, Sun J, Grasso E, Tognola C, Tavecchia G, Cartella I, Milani M, Vallerio P, Signorini S, Brambilla P, Casati M, Bombelli M, Grassi G, Giannattasio C. Hyperuricemia prevalence in healthy subjects and its relationship with cardiovascular target organ damage. Nutr Metab Cardiovasc Dis 2021; 31:178-185. [PMID: 32994122 DOI: 10.1016/j.numecd.2020.08.015] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 08/06/2020] [Accepted: 08/09/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND AIM Heterogeneous results have been obtained in the relationship between Uric Acid (UA) and Target Organ Damage (TOD). In the present study we sought to assess the prevalence of hyperuricemia in healthy subjects as well as the role of UA in determining TOD. We evaluated vascular, cardiac and renal TODs in the whole population as well as sub-grouped by gender. METHODS AND RESULTS As many as 379 blood donors participated at the present analysis. TOD was evaluated as Pulse Wave Velocity (PWV), Left Ventricular Mass Index (LVMI) and carotid Intima-Media Thickness (IMT). Hyperuricemia was defined with the classic cut-off (>7.0 in men and >6.0 mg/dL in women) but also with a most recently defined one (5.6 mg/dL for both sex). Hyperuricemia was present in 6.3% of the whole population (7.3% males, 2.8% females) considering the classic cut-off, while, with the recently identified one, it was present in 28.2% of the whole population (37.3% males, 4.7% females). Despite all the evaluated TODs significantly correlated with UA, linear multivariate regression analysis showed that none of them, except for GFR, displayed UA as a significant covariate. Similar figures were found also when both correlation and linear regression analyses were repeated in the two genders separately. CONCLUSIONS Hyperuricemia is an important problem also in healthy subjects and its prevalence could further increase if lower cut-off will be used. In this specific population UA is significantly associated with renal impairment while this was not the case for cardiac and vascular damage.
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Affiliation(s)
- Alessandro Maloberti
- Cardiology IV, "A. De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy; University of Milano-Bicocca, Milan, Italy.
| | | | - Lucia Occhi
- Cardiology IV, "A. De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy; University of Milano-Bicocca, Milan, Italy
| | - Jinwei Sun
- University of Milano-Bicocca, Milan, Italy
| | | | | | | | | | | | | | | | | | - Marco Casati
- Laboratory Medicine, San Gerardo Hospital, ASST Monza, Italy
| | - Michele Bombelli
- University of Milano-Bicocca, Milan, Italy; Clinica Medica, University of Milano-Bicocca, Monza, Italy
| | - Guido Grassi
- University of Milano-Bicocca, Milan, Italy; Clinica Medica, University of Milano-Bicocca, Monza, Italy
| | - Cristina Giannattasio
- Cardiology IV, "A. De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy; University of Milano-Bicocca, Milan, Italy
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Schiatti L, Cappagli G, Martolini C, Maviglia A, Signorini S, Gori M, Crepaldi M. A Novel Wearable and Wireless Device to Investigate Perception in Interactive Scenarios. Annu Int Conf IEEE Eng Med Biol Soc 2020; 2020:3252-3255. [PMID: 33018698 DOI: 10.1109/embc44109.2020.9176167] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The aim of the present work is to introduce a novel wearable device suitable to be used to investigate perception in interactive tasks, on individuals with and without sensory disabilities. The system is composed by small units embedded with sensors and actuators that allows emitting different kind of stimuli (light, haptic, sound) and to record the user response, thanks to a capacitive sensor. We validated the system by implementing an interception task in three different sensory modalities: visual, tactile and auditory. Six subjects with normal sight were asked to tap either a static or a moving stimulus generated by 6 units placed on their forearm. Results suggest that the system can effectively provide new insights in characterizing how perception principles vary when perceptual judgement occurs through different senses. This confirms the device potential in contributing to the design of rehabilitation protocols rooted on neuroscientific findings, for people with sensory impairments.
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Vitale M, Calabrese I, Massimino E, Shivappa N, Hebert JR, Auciello S, Grioni S, Krogh V, Sartore G, Signorini S, Rivellese AA, Riccardi G, Vaccaro O, Masulli M. Dietary inflammatory index score, glucose control and cardiovascular risk factors profile in people with type 2 diabetes. Int J Food Sci Nutr 2020; 72:529-536. [PMID: 33045863 DOI: 10.1080/09637486.2020.1832054] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
We examined the relationships between the dietary inflammatory index (DII®), dietary habits and cardiovascular risk factor profiles in people with type 2 diabetes mellitus (T2DM). Energy-adjusted DII (E-DII™) scores were calculated from a Food Frequency Questionnaire in 2568 T2DM patients from different parts of Italy. Analyses were conducted according to quartiles of sex-specific E-DII scores. Higher, more pro-inflammatory, (quartile 4) E-DII scores were associated with overall poor quality of the diet characterised by higher content of refined carbohydrates, added sugars, saturated fat and cholesterol and lower unsaturated fat, fibre and polyphenols compared to quartile 1. Higher E-DII scores also were associated with higher waist circumference (105.4 vs. 103.5 cm; p = 0.002), triglycerides (154.6 vs. 146.1 mg/dL; p = 0.005), diastolic blood pressure (80.05 vs. 78.6 mmHg; p = 0.04) and lower HDL-cholesterol (45.3 vs. 47.4 mg/dL; p = 0.04). In conclusion, E-DII is a potent marker of overall quality of the diet and is associated with an unfavourable cardiovascular risk factor profile.
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Affiliation(s)
- Marilena Vitale
- Department of Clinical Medicine and Surgery, Federico II University of Naples, Naples, Italy
| | - Ilaria Calabrese
- Department of Clinical Medicine and Surgery, Federico II University of Naples, Naples, Italy
| | - Elena Massimino
- Department of Clinical Medicine and Surgery, Federico II University of Naples, Naples, Italy
| | - Nitin Shivappa
- Department of Epidemiology and Biostatistics and Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.,Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC, USA
| | - James R Hebert
- Department of Epidemiology and Biostatistics and Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.,Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC, USA
| | - Stefania Auciello
- Department of Clinical Medicine and Surgery, Federico II University of Naples, Naples, Italy
| | - Sara Grioni
- Unità di Epidemiologia e Prevenzione, Fondazione IRCCS, Istituto Nazionale Tumori, Milano, Italy
| | - Vittorio Krogh
- Unità di Epidemiologia e Prevenzione, Fondazione IRCCS, Istituto Nazionale Tumori, Milano, Italy
| | | | | | - Angela A Rivellese
- Department of Clinical Medicine and Surgery, Federico II University of Naples, Naples, Italy
| | - Gabriele Riccardi
- Department of Clinical Medicine and Surgery, Federico II University of Naples, Naples, Italy
| | - Olga Vaccaro
- Department of Pharmacy, Federico II University of Naples, Naples, Italy
| | - Maria Masulli
- Department of Clinical Medicine and Surgery, Federico II University of Naples, Naples, Italy
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Masulli M, Lucisano G, Bonora E, Del Prato S, Rivellese AA, Signorini S, Mocarelli P, Riccardi G, Vaccaro O, Nicolucci A. A few clinical features improve the prediction of mortality and cardiovascular outcomes in patients with type 2 diabetes. Eur J Prev Cardiol 2020; 28:e1-e3. [PMID: 33624040 DOI: 10.1093/eurjpc/zwaa002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 06/18/2020] [Accepted: 07/14/2020] [Indexed: 11/13/2022]
Affiliation(s)
- Maria Masulli
- Department of Clinical Medicine and Surgery, Federico II University, Via S. Pansini 5, 80131 Naples, Italy
| | - Giuseppe Lucisano
- CORESEARCH - Center for Outcomes Research and Clinical Epidemiology, via Tiziano Vecellio 2, 65124 Pescara, Italy
| | - Enzo Bonora
- Division of Endocrinology, Diabetes and Metabolism, University and Hospital Trust of Verona, Piazzale Aristide Stefani 1, 37129 Verona, Italy
| | - Stefano Del Prato
- Department of Clinical & Experimental Medicine, University of Pisa, Lungarno Pacinotti 43, 56126 Pisa, Italy
| | - Angela A Rivellese
- Department of Clinical Medicine and Surgery, Federico II University, Via S. Pansini 5, 80131 Naples, Italy
| | - Stefano Signorini
- University Department of Laboratory Medicine, Hospital of Desio, via Giuseppe Mazzini 1, 20832 Desio (MB), Italy
| | - Paolo Mocarelli
- University Department of Laboratory Medicine, Hospital of Desio, via Giuseppe Mazzini 1, 20832 Desio (MB), Italy
| | - Gabriele Riccardi
- Department of Clinical Medicine and Surgery, Federico II University, Via S. Pansini 5, 80131 Naples, Italy
| | - Olga Vaccaro
- Department of Clinical Medicine and Surgery, Federico II University, Via S. Pansini 5, 80131 Naples, Italy
| | - Antonio Nicolucci
- CORESEARCH - Center for Outcomes Research and Clinical Epidemiology, via Tiziano Vecellio 2, 65124 Pescara, Italy
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Paesani S, Borghi M, Signorini S, Maïnos A, Pavesi L, Laing A. Near-ideal spontaneous photon sources in silicon quantum photonics. Nat Commun 2020; 11:2505. [PMID: 32427911 PMCID: PMC7237445 DOI: 10.1038/s41467-020-16187-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 04/06/2020] [Indexed: 11/10/2022] Open
Abstract
While integrated photonics is a robust platform for quantum information processing, architectures for photonic quantum computing place stringent demands on high quality information carriers. Sources of single photons that are highly indistinguishable and pure, that are either near-deterministic or heralded with high efficiency, and that are suitable for mass-manufacture, have been elusive. Here, we demonstrate on-chip photon sources that simultaneously meet each of these requirements. Our photon sources are fabricated in silicon using mature processes, and exploit a dual-mode pump-delayed excitation scheme to engineer the emission of spectrally pure photon pairs through inter-modal spontaneous four-wave mixing in low-loss spiralled multi-mode waveguides. We simultaneously measure a spectral purity of 0.9904 ± 0.0006, a mutual indistinguishability of 0.987 ± 0.002, and >90% intrinsic heralding efficiency. We measure on-chip quantum interference with a visibility of 0.96 ± 0.02 between heralded photons from different sources.
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Affiliation(s)
- S Paesani
- Quantum Engineering Technology Labs, H. H. Wills Physics Laboratory and Department of Electrical and Electronic Engineering, University of Bristol, Bristol, BS81FD, UK
| | - M Borghi
- Quantum Engineering Technology Labs, H. H. Wills Physics Laboratory and Department of Electrical and Electronic Engineering, University of Bristol, Bristol, BS81FD, UK.,SM Optics s.r.l., Research Programs, Via John Fitzgerald Kennedy 2, 20871, Vimercate, Italy
| | - S Signorini
- Department of Physics, University of Trento, Via Sommarive 14, 38123, Trento, Italy
| | - A Maïnos
- Quantum Engineering Technology Labs, H. H. Wills Physics Laboratory and Department of Electrical and Electronic Engineering, University of Bristol, Bristol, BS81FD, UK
| | - L Pavesi
- Department of Physics, University of Trento, Via Sommarive 14, 38123, Trento, Italy
| | - A Laing
- Quantum Engineering Technology Labs, H. H. Wills Physics Laboratory and Department of Electrical and Electronic Engineering, University of Bristol, Bristol, BS81FD, UK.
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Warner M, Rauch S, Ames J, Mocarelli P, Brambilla P, Signorini S, Eskenazi B. Prenatal dioxin exposure and thyroid hormone levels in the Seveso second generation study. Environ Res 2020; 183:109280. [PMID: 32311913 PMCID: PMC7176740 DOI: 10.1016/j.envres.2020.109280] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 02/14/2020] [Accepted: 02/19/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND In animal studies, perinatal exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) alters thyroid homoeostasis and thyroid hormone concentrations; epidemiologic evidence is limited. OBJECTIVES We aimed to determine the association of prenatal exposure to TCDD with thyroid hormone concentrations in the Seveso Second Generation Study, a unique cohort of children born to TCDD-exposed women resulting from a 1976 chemical factory explosion in Seveso, Italy. METHODS We included 570 children (288 female, 282 male) with complete follow-up data, including a fasting blood draw. Serum levels of total and free thyroxine (T4), free triiodothyronine (T3), and thyroid stimulating hormone (TSH) were measured using immunoassays. We defined prenatal TCDD exposure as: 1) maternal initial TCDD concentration measured in serum collected soon after the explosion and 2) maternal TCDD estimated at pregnancy. RESULTS Compared to the lowest quartile (Q1), maternal initial serum TCDD was associated with lower free T3 (Q2: adj-β = -0.13, 95%CI -0.26, 0.00; Q3: adj-β = -0.22, 95%CI -0.35, -0.09; Q4: adj-β = -0.14, 95%CI -0.28, 0.00; p-trend = 0.02). In participants with high thyroid antibody status, inverse associations between maternal initial serum TCDD and free T3 were significantly stronger than in participants with normal antibody status (p-interaction = 0.02). We also observed a positive association between maternal initial serum TCDD and TSH concentrations in participants with high thyroid antibody status (Q2: adj-β = 11.4%, 95%CI -25.2, 66.1; Q3: adj-β = 49.0%, 95%CI 3.0, 115.5; Q4: adj-β = 105.5, 95%CI 36.6, 209.2; p-trend < 0.01) but not in those participants with normal antibody status (p-interaction < 0.01). Similar results were found for TCDD estimated at pregnancy. DISCUSSION Our results suggest prenatal exposure to TCDD, a potent endocrine-disrupting compound, may alter thyroid function later in life. Populations with additional thyroid stress may be particularly susceptible to in utero exposure of thyroid disrupting chemicals.
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Affiliation(s)
- Marcella Warner
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA.
| | - Stephen Rauch
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Jennifer Ames
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Paolo Mocarelli
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio, Milano, Italy
| | - Paolo Brambilla
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio, Milano, Italy
| | - Stefano Signorini
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio, Milano, Italy
| | - Brenda Eskenazi
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
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Warner M, Rauch S, Brambilla P, Signorini S, Mocarelli P, Eskenazi B. Prenatal dioxin exposure and glucose metabolism in the Seveso Second Generation study. Environ Int 2020; 134:105286. [PMID: 31726365 PMCID: PMC6904529 DOI: 10.1016/j.envint.2019.105286] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 09/21/2019] [Accepted: 10/22/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Exposure to endocrine disrupting compounds such as 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) during susceptible developmental windows may alter risk of metabolic disease later in life. Animal studies of in utero and lactational TCDD exposure report associations with alterations in insulin sensitivity and energy homeostasis, but epidemiologic evidence is limited. We examined the relationship of prenatal TCDD exposure with markers of glucose homeostasis in the Seveso Second Generation study, a unique cohort of children born to TCDD-exposed women resulting from a 1976 explosion in Seveso, Italy. METHODS We included 426 children who were 18 years or older with complete follow-up data including a fasting blood draw. Insulin and glucose were measured and the updated homoeostatic model assessment was used to estimate insulin resistance (HOMA2-IR) and beta-cell function (HOMA2-B). Prenatal TCDD exposure was defined in two ways, as initial maternal serum TCDD concentration and TCDD estimated at pregnancy. RESULTS The children (222 female, 204 male) averaged 28.6 (±6.0) years. We found a 10-fold increase in TCDD estimated at pregnancy was inversely associated with insulin (adj-β = -1.24 μIU/mL, 95% confidence interval (CI): -2.38, -0.09) and HOMA2-B (adj-β = -10.2% decrease, 95% CI: -17.8, -1.9) among daughters, but not sons (insulin: adj-β = 0.57 μIU/mL, 95% CI: -0.84, 1.98, P for interaction = 0.04; and HOMA2-B: adj-β = 0.8% increase, 95% CI -10.7, 13.9, P for interaction = 0.11). Similar effect modification was observed for TCDD estimated at pregnancy and HOMA2-IR (P for interaction = 0.13). The models for initial maternal serum TCDD showed similar effect modification by child sex. The observed associations in daughters showed evidence of mediation by body mass index, which we have previously found to be associated with prenatal TCDD exposure in female offspring. CONCLUSION These results suggest prenatal exposure to TCDD is associated with lower insulin resistance and beta compensation in female offspring, and show evidence of mediation by body mass index.
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Affiliation(s)
- Marcella Warner
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA.
| | - Stephen Rauch
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Paolo Brambilla
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio-Milano, Italy
| | - Stefano Signorini
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio-Milano, Italy
| | - Paolo Mocarelli
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio-Milano, Italy
| | - Brenda Eskenazi
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
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12
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Maloberti A, Rebora P, Andreano A, Vallerio P, De Chiara B, Signorini S, Casati M, Besana S, Bombelli M, Grassi G, Valsecchi MG, Giannattasio C. Pulse wave velocity progression over a medium-term follow-up in hypertensives: Focus on uric acid. J Clin Hypertens (Greenwich) 2019; 21:975-983. [PMID: 31222917 DOI: 10.1111/jch.13603] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 05/15/2019] [Accepted: 05/27/2019] [Indexed: 12/15/2022]
Abstract
The role of uric acid (UA) on the arterial stiffness progression has been evaluated only in three studies. Our aim was to evaluate its role as a possible determinant of the pulse wave velocity (PWV) progression over a 3.7 ± 0.5 years follow-up period in hypertensive patients. Specific sex analysis was done due to the well-known sex interaction with UA levels. We enrolled 422 consecutive hypertensive outpatients. At baseline anamnestic, blood pressure (BP) and laboratory data as well as PWV were assessed. PWV was performed again at follow-up examination. Hyperuricemia was defined as a UA > 6 mg/dL for women and > 7 mg/dL for men. Baseline age was 53.2 ± 13 years, 58% were males, systolic and diastolic BP (SBP/DBP) 141.7 ± 17.7/86.8 ± 10.8 mm Hg, UA 5.2 ± 1.4 mg/dL, and PWV 8.5 ± 1.9 m/s. At follow-up, despite better BP values (-8.5 ± 24.6 for SBP and -7.5 ± 15.4 for DBP), PWV increases to 9.1 ± 2.3 m/s (P < 0.001) with mean ΔPWV of+ 0.5 ± 2.2 m/s. A total of 61 patients were hyperuricemic (14.4%), and they present higher PWV baseline (9.0 ± 2.5 vs 8.5 ± 1.8 m/s, P = 0.03) without significant differences in ΔPWV. Hyperuricemic female (6.2%, 11 patients) presents higher baseline PWV without significant differences in ΔPWV. No differences were found in arterial stiffness in hyperuricemic males (20.4%, 50 patients). UA showed association with baseline and ΔPWV in the whole population but it loses statistical significance at the linear regression model. Same figures were also for sex analysis. Our findings provide evidence that baseline UA levels are not determinants of PWV progression over a median follow-up of 3.8 years' in hypertensive patients.
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Affiliation(s)
- Alessandro Maloberti
- Cardiology IV, "A.De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy.,School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Paola Rebora
- Center of Biostatistics for Clinical Epidemiology, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Anita Andreano
- Center of Biostatistics for Clinical Epidemiology, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Paola Vallerio
- Cardiology IV, "A.De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy.,School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Benedetta De Chiara
- Cardiology IV, "A.De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy
| | | | - Marco Casati
- Laboratory Medicine, San Gerardo Hospital, ASST Monza, Italy
| | - Silvia Besana
- Laboratory Medicine, Desio Hospital, ASST Monza, Italy
| | - Michele Bombelli
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.,Internal Medicine, San Gerardo Hospital, ASST Monza, Italy
| | - Guido Grassi
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.,Internal Medicine, San Gerardo Hospital, ASST Monza, Italy
| | - Maria Grazia Valsecchi
- Center of Biostatistics for Clinical Epidemiology, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Cristina Giannattasio
- Cardiology IV, "A.De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy.,School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
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13
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Biesuz M, Bettotti P, Signorini S, Bortolotti M, Campostrini R, Bahri M, Ersen O, Speranza G, Lale A, Bernard S, Sorarù GD. First synthesis of silicon nanocrystals in amorphous silicon nitride from a preceramic polymer. Nanotechnology 2019; 30:255601. [PMID: 30836334 DOI: 10.1088/1361-6528/ab0cc8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
We report the first synthesis of silicon nanocrystals embedded in a silicon nitride matrix through a direct pyrolysis of a preceramic polymer (perhydropolysilazane). Structural analysis carried out by XRD, XPS, Raman and TEM reveals the formation of silicon quantum dots and correlates the microstructures with the annealing temperature. The photoluminescence of the nanocomposites was investigated by both linear and nonlinear measurements. Furthermore we demonstrate an enhanced chemical resistance of the nitride matrix, compared to the typical oxide one, in both strongly acidic and basic environments. The proposed synthesis via polymer pyrolysis is a striking innovation potentially allowing a mass-scale production nitride embedded Si nanocrystals.
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Affiliation(s)
- M Biesuz
- University of Trento, Department of Industrial Engineering, Via Sommarive 9, I-38123 Trento, Italy
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14
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Warner M, Rauch S, Ames J, Mocarelli P, Brambilla P, Signorini S, Eskenazi B. In utero dioxin exposure and cardiometabolic risk in the Seveso Second Generation Study. Int J Obes (Lond) 2019; 43:2233-2243. [PMID: 30659254 PMCID: PMC6639155 DOI: 10.1038/s41366-018-0306-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 11/08/2018] [Accepted: 12/06/2018] [Indexed: 02/06/2023]
Abstract
Background/Objectives: In utero exposure to endocrine-disrupting compounds such as 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) may alter risk of obesity and related metabolic disease later in life. We examined the relationship of prenatal exposure to TCDD with obesity and metabolic syndrome (MetS) in children born to a unique cohort of TCDD-exposed women resulting from a 1976 explosion in Seveso, Italy. Subjects/Methods: In 2014, nearly 40 years after the explosion, we enrolled 611 post-explosion offspring, 2 to 39 years of age, in the Seveso Second Generation study. In utero TCDD exposure was defined primarily as TCDD concentration measured in maternal serum collected soon after the explosion and alternately as TCDD estimated at pregnancy. We measured height, weight, waist circumference, body fat, blood pressure, and fasting blood levels of lipids and glucose, which were combined to assess body mass index (BMI) and MetS. Results: Children (314 female, 297 male) averaged 23.6 (±6.0) years of age. Among the 431 children ≥18 years, a 10-fold increase in initial maternal TCDD concentration was inversely associated with BMI in daughters (adj-β=−0.99 kg/m2; 95% CI −1.86, −0.12), but not sons (adj-β=0.41 kg/m2; 95% CI −0.35, 1.18) (p-int=0.02). A similar relationship was found in the younger children (2-17 years); a 10-fold increase in initial maternal TCDD was inversely associated with BMI z-score (adj-β = −0.59 kg/m2; 95% CI −1.12, −0.06) among daughters, but not sons (adj-β = 0.04 kg/m2; 95% CI −0.34, 0.41) (p-int=0.03). In contrast, in sons only, initial maternal TCDD was associated with increased risk for MetS (adj-RR = 2.09, 95% CI 1.09, 4.02). Results for TCDD estimated at pregnancy were comparable. Conclusions: These results suggest prenatal TCDD exposure alters cardiometabolic endpoints in a sex-specific manner. In daughters, in utero TCDD is inversely associated with adiposity measures. In sons, in utero TCDD is associated with increased risk for MetS.
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Affiliation(s)
- Marcella Warner
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA.
| | - Stephen Rauch
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Jennifer Ames
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Paolo Mocarelli
- Department of Laboratory Medicine, School of Medicine, Hospital of Desio, University of Milano-Bicocca, Desio-Milano, Italy
| | - Paolo Brambilla
- Department of Laboratory Medicine, School of Medicine, Hospital of Desio, University of Milano-Bicocca, Desio-Milano, Italy
| | - Stefano Signorini
- Department of Laboratory Medicine, School of Medicine, Hospital of Desio, University of Milano-Bicocca, Desio-Milano, Italy
| | - Brenda Eskenazi
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
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15
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Eskenazi B, Warner M, Brambilla P, Signorini S, Ames J, Mocarelli P. The Seveso accident: A look at 40 years of health research and beyond. Environ Int 2018; 121:71-84. [PMID: 30179766 PMCID: PMC6221983 DOI: 10.1016/j.envint.2018.08.051] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Revised: 08/21/2018] [Accepted: 08/23/2018] [Indexed: 05/02/2023]
Abstract
A 1976 chemical factory explosion near Seveso, Italy exposed residents to high levels of 2,3,7,8-tetracholorodibenzo-p-dioxin (TCDD or dioxin). Dioxin is a known human carcinogen and potent endocrine disruptor. It is highly lipophilic and has a long half-life in humans. Much of what we know and can learn about the risks of dioxin exposure on human health arose from the tragic circumstances of Seveso. This review aims to describe the Seveso accident, summarize the results of 40 years of research on the health of the Seveso population since the accident, and discuss next-stage research on the health of Seveso residents, their children, and grandchildren.
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Affiliation(s)
- Brenda Eskenazi
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA.
| | - Marcella Warner
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Paolo Brambilla
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio-Milano, Italy
| | - Stefano Signorini
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio-Milano, Italy
| | - Jennifer Ames
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Paolo Mocarelli
- Department of Laboratory Medicine, University of Milano-Bicocca, School of Medicine, Hospital of Desio, Desio-Milano, Italy
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16
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Ames J, Warner M, Mocarelli P, Brambilla P, Signorini S, Siracusa C, Huen K, Holland N, Eskenazi B. AHR gene-dioxin interactions and birthweight in the Seveso Second Generation Health Study. Int J Epidemiol 2018; 47:1992-2004. [PMID: 30124847 PMCID: PMC6280946 DOI: 10.1093/ije/dyy165] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/17/2018] [Indexed: 12/22/2022] Open
Abstract
Background 2, 3, 7, 8-tetrachlorodibenzo-p-dioxin (TCDD) is proposed to interfere with fetal growth via altered activity of the aryl hydrocarbon receptor (protein: AHR; gene: AHR) pathway which regulates diverse biological and developmental processes including xenobiotic metabolism. Genetic variation in AHR is an important driver of susceptibility to low birthweight in children exposed to prenatal smoking, but less is known about these genetic interactions with TCDD, AHR's most potent xenobiotic ligand. Methods The Seveso Women's Health Study (SWHS), initiated in 1996, is a cohort of 981 Italian women exposed to TCDD from an industrial explosion in July 1976. We measured TCDD concentrations in maternal serum collected close to the time of the accident. In 2008 and 2014, we followed up the SWHS cohort and collected data on birth outcomes of SWHS women with post-accident pregnancies. We genotyped 19 single nucleotide polymorphisms (SNPs) in AHR among the 574 SWHS mothers. Results Among 901 singleton births, neither SNPs nor TCDD exposure alone were significantly associated with birthweight. However, we found six individual SNPs in AHR which adversely modified the association between maternal TCDD and birthweight, implicating gene-environment interaction. We saw an even stronger susceptibility to TCDD due to interaction when we examined the joint contribution of these SNPs in a risk allele score. These SNPs were all located in noncoding regions of AHR, particularly in proximity to the promoter. Conclusions This is the first study to demonstrate that genetic variation across the maternal AHR gene may shape fetal susceptibilities to TCDD exposure.
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Affiliation(s)
- Jennifer Ames
- Center for Environmental Research and Children’s Health (CERCH), School of Public Health, University of California, Berkeley, CA, USA
| | - Marcella Warner
- Center for Environmental Research and Children’s Health (CERCH), School of Public Health, University of California, Berkeley, CA, USA
| | - Paolo Mocarelli
- Department of Laboratory Medicine, University of Milan-Bicocca, Hospital of Desio, Desio-Milano, Italy
| | - Paolo Brambilla
- Department of Laboratory Medicine, University of Milan-Bicocca, Hospital of Desio, Desio-Milano, Italy
| | - Stefano Signorini
- Department of Laboratory Medicine, University of Milan-Bicocca, Hospital of Desio, Desio-Milano, Italy
| | - Claudia Siracusa
- Department of Laboratory Medicine, University of Milan-Bicocca, Hospital of Desio, Desio-Milano, Italy
| | - Karen Huen
- Center for Environmental Research and Children’s Health (CERCH), School of Public Health, University of California, Berkeley, CA, USA
| | - Nina Holland
- Center for Environmental Research and Children’s Health (CERCH), School of Public Health, University of California, Berkeley, CA, USA
| | - Brenda Eskenazi
- Center for Environmental Research and Children’s Health (CERCH), School of Public Health, University of California, Berkeley, CA, USA
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17
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Vitale M, Masulli M, Calabrese I, Rivellese AA, Bonora E, Signorini S, Perriello G, Squatrito S, Buzzetti R, Sartore G, Babini AC, Gregori G, Giordano C, Clemente G, Grioni S, Dolce P, Riccardi G, Vaccaro O. Impact of a Mediterranean Dietary Pattern and Its Components on Cardiovascular Risk Factors, Glucose Control, and Body Weight in People with Type 2 Diabetes: A Real-Life Study. Nutrients 2018; 10:nu10081067. [PMID: 30103444 PMCID: PMC6115857 DOI: 10.3390/nu10081067] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 08/03/2018] [Accepted: 08/07/2018] [Indexed: 11/16/2022] Open
Abstract
This study evaluates the relation of a Mediterranean dietary pattern and its individual components with the cardiovascular risk factors profile, plasma glucose and body mass index (BMI) in people with type 2 diabetes. We studied 2568 participants at 57 diabetes clinics. Diet was assessed with the EPIC (European Prospective Investigation into Cancer and Nutrition) questionnaire, adherence to the Mediterranean diet was evaluated with the relative Mediterranean diet score (rMED). A high compared to a low score was associated with a better quality of diet and a greater adherence to the nutritional recommendations for diabetes. However, even in the group achieving a high score, only a small proportion of participants met the recommendations for fiber and saturated fat (respectively 17% and 30%). Nonetheless, a high score was associated with lower values of plasma lipids, blood pressure, glycated hemoglobin, and BMI. The relationship of the single food items components of the rMED score with the achievement of treatment targets for plasma lipids, blood pressure, glucose, and BMI were also explored. The study findings support the Mediterranean dietary model as a suitable model for type 2 diabetes and the concept that the beneficial health effects of the Mediterranean diet lie primarily in its synergy among various nutrients and foods rather than on any individual component.
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Affiliation(s)
- Marilena Vitale
- Department of Clinical Medicine and Surgery, Federico II University of Naples, 80131 Naples, Italy.
| | - Maria Masulli
- Department of Clinical Medicine and Surgery, Federico II University of Naples, 80131 Naples, Italy.
| | - Ilaria Calabrese
- Department of Clinical Medicine and Surgery, Federico II University of Naples, 80131 Naples, Italy.
| | | | - Enzo Bonora
- Division of Endocrinology, Diabetes and Metabolism, University and Hospital Trust of Verona, 37134 Verona, Italy.
| | - Stefano Signorini
- University Department Laboratory Medicine, Hospital of Desio, 20832 Monza, Italy.
| | - Gabriele Perriello
- Endocrinology and Metabolism, University of Perugia, 06126, Perugia, Italy.
| | - Sebastiano Squatrito
- Diabetes Unit, University Hospital Garibaldi-Nesima of Catania, 95122 Catania, Italy.
| | - Raffaella Buzzetti
- Department of Experimental Medicine, Sapienza University, 04100 Rome, Italy.
| | - Giovanni Sartore
- Department of Medicine, University of Padua, 35100 Padova, Italy.
| | | | - Giovanna Gregori
- Diabetes Unit, Azienda Sanitaria Toscana Nord-Ovest, Massa Carrara, 54100 Massa Carrara, Italy.
| | - Carla Giordano
- Section of Endocrinology, Diabetology and Metabolic Diseases, University of Palermo, 90127 Palermo, Italy.
| | - Gennaro Clemente
- Institute for Research on Population and Social Policies-National Research Council, 84084 Fisciano, Italy.
| | - Sara Grioni
- Unità di Epidemiologia e Prevenzione, Fondazione IRCCS, Istituto Nazionale Tumori, 20133 Milano, Italy.
| | - Pasquale Dolce
- Department of Public Health, Federico II University of Naples, 80131 Naples, Italy.
| | - Gabriele Riccardi
- Department of Clinical Medicine and Surgery, Federico II University of Naples, 80131 Naples, Italy.
| | - Olga Vaccaro
- Department of Clinical Medicine and Surgery, Federico II University of Naples, 80131 Naples, Italy.
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Maloberti A, Maggioni S, Occhi L, Triglione N, Panzeri F, Nava S, Signorini S, Falbo R, Casati M, Grassi G, Giannattasio C. Sex-related relationships between uric acid and target organ damage in hypertension. J Clin Hypertens (Greenwich) 2017; 20:193-200. [PMID: 29171717 DOI: 10.1111/jch.13136] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 08/29/2017] [Accepted: 09/03/2017] [Indexed: 12/22/2022]
Abstract
Heterogeneous results have been obtained in the relationship between serum uric acid (SUA) and target organ damage (TOD) in patients with hypertension. Clinic blood pressure, SUA, and cardiac, arterial (carotid and aortic), and renal TOD were assessed in 762 consecutive patients with hypertension. Hyperuricemia was defined as an SUA >7.0 in men and >6.0 mg/dL in women. Men with hyperuricemia compared with those with normal SUA showed lower estimated glomerular filtration rates and E/A ratios and a higher prevalence of carotid plaques. Women with hyperuricemia showed lower estimated glomerular filtration rates and E/A ratios and a higher intima-media thickness. Except for pulse wave velocity, all TODs significantly correlated with SUA. However, at multivariate analysis, only estimated glomerular filtration rate was significantly determined by SUA. Our data provide evidence on the role of SUA in the development of TOD only in the case of renal alteration. It is likely that SUA may indirectly act on the other TODs through the increase in blood pressure and the decrease in glomerular filtration rate.
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Affiliation(s)
- Alessandro Maloberti
- Cardiology IV, "A.De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy.,University of Milano-Bicocca, Milan, Italy
| | | | - Lucia Occhi
- Cardiology IV, "A.De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy.,University of Milano-Bicocca, Milan, Italy
| | - Nicola Triglione
- Cardiology IV, "A.De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy.,University of Milano-Bicocca, Milan, Italy
| | - Francesco Panzeri
- Cardiology IV, "A.De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy.,University of Milano-Bicocca, Milan, Italy
| | - Stefano Nava
- Cardiology IV, "A.De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy
| | | | - Rosanna Falbo
- Laboratory Medicine, Desio Hospital, ASST Monza, Monza, Italy
| | - Marco Casati
- Laboratory Medicine, San Gerardo Hospital, ASST Monza, Monza, Italy
| | - Guido Grassi
- Clinica Medica, University of Milano-Bicocca and IRCCS Multimedica, Sesto San Giovanni, Milan, Italy
| | - Cristina Giannattasio
- Cardiology IV, "A.De Gasperis" Department, ASTT GOM Niguarda Ca' Granda, Milan, Italy.,University of Milano-Bicocca, Milan, Italy
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Vaccaro O, Masulli M, Nicolucci A, Bonora E, Del Prato S, Maggioni AP, Rivellese AA, Squatrito S, Giorda CB, Sesti G, Mocarelli P, Lucisano G, Sacco M, Signorini S, Cappellini F, Perriello G, Babini AC, Lapolla A, Gregori G, Giordano C, Corsi L, Buzzetti R, Clemente G, Di Cianni G, Iannarelli R, Cordera R, La Macchia O, Zamboni C, Scaranna C, Boemi M, Iovine C, Lauro D, Leotta S, Dall'Aglio E, Cannarsa E, Tonutti L, Pugliese G, Bossi AC, Anichini R, Dotta F, Di Benedetto A, Citro G, Antenucci D, Ricci L, Giorgino F, Santini C, Gnasso A, De Cosmo S, Zavaroni D, Vedovato M, Consoli A, Calabrese M, di Bartolo P, Fornengo P, Riccardi G. Effects on the incidence of cardiovascular events of the addition of pioglitazone versus sulfonylureas in patients with type 2 diabetes inadequately controlled with metformin (TOSCA.IT): a randomised, multicentre trial. Lancet Diabetes Endocrinol 2017; 5:887-897. [PMID: 28917544 DOI: 10.1016/s2213-8587(17)30317-0] [Citation(s) in RCA: 183] [Impact Index Per Article: 26.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 08/29/2017] [Accepted: 08/29/2017] [Indexed: 12/24/2022]
Abstract
BACKGROUND The best treatment option for patients with type 2 diabetes in whom treatment with metformin alone fails to achieve adequate glycaemic control is debated. We aimed to compare the long-term effects of pioglitazone versus sulfonylureas, given in addition to metformin, on cardiovascular events in patients with type 2 diabetes. METHODS TOSCA.IT was a multicentre, randomised, pragmatic clinical trial, in which patients aged 50-75 years with type 2 diabetes inadequately controlled with metformin monotherapy (2-3 g per day) were recruited from 57 diabetes clinics in Italy. Patients were randomly assigned (1:1), by permuted blocks randomisation (block size 10), stratified by site and previous cardiovascular events, to add-on pioglitazone (15-45 mg) or a sulfonylurea (5-15 mg glibenclamide, 2-6 mg glimepiride, or 30-120 mg gliclazide, in accordance with local practice). The trial was unblinded, but event adjudicators were unaware of treatment assignment. The primary outcome, assessed with a Cox proportional-hazards model, was a composite of first occurrence of all-cause death, non-fatal myocardial infarction, non-fatal stroke, or urgent coronary revascularisation, assessed in the modified intention-to-treat population (all randomly assigned participants with baseline data available and without any protocol violations in relation to inclusion or exclusion criteria). This study is registered with ClinicalTrials.gov, number NCT00700856. FINDINGS Between Sept 18, 2008, and Jan 15, 2014, 3028 patients were randomly assigned and included in the analyses. 1535 were assigned to pioglitazone and 1493 to sulfonylureas (glibenclamide 24 [2%], glimepiride 723 [48%], gliclazide 745 [50%]). At baseline, 335 (11%) participants had a previous cardiovascular event. The study was stopped early on the basis of a futility analysis after a median follow-up of 57·3 months. The primary outcome occurred in 105 patients (1·5 per 100 person-years) who were given pioglitazone and 108 (1·5 per 100 person-years) who were given sulfonylureas (hazard ratio 0·96, 95% CI 0·74-1·26, p=0·79). Fewer patients had hypoglycaemias in the pioglitazone group than in the sulfonylureas group (148 [10%] vs 508 [34%], p<0·0001). Moderate weight gain (less than 2 kg, on average) occurred in both groups. Rates of heart failure, bladder cancer, and fractures were not significantly different between treatment groups. INTERPRETATION In this long-term, pragmatic trial, incidence of cardiovascular events was similar with sulfonylureas (mostly glimepiride and gliclazide) and pioglitazone as add-on treatments to metformin. Both of these widely available and affordable treatments are suitable options with respect to efficacy and adverse events, although pioglitazone was associated with fewer hypoglycaemia events. FUNDING Italian Medicines Agency, Diabete Ricerca, and Italian Diabetes Society.
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Affiliation(s)
- Olga Vaccaro
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy.
| | - Maria Masulli
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Antonio Nicolucci
- Center for Outcomes Research and Clinical Epidemiology (CORESEARCH), Pescara, Italy
| | - Enzo Bonora
- Division of Endocrinology, Diabetes and Metabolism, University and Hospital Trust of Verona, Verona, Italy
| | - Stefano Del Prato
- Department of Clinical & Experimental Medicine, University of Pisa, Pisa, Italy
| | - Aldo P Maggioni
- National Association of Hospital Cardiologists (ANMCO) Research Center, Florence, Italy
| | - Angela A Rivellese
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | | | - Carlo B Giorda
- Diabetes Unit, Azienda Sanitaria Locale (ASL) Torino 5, Torino, Italy
| | - Giorgio Sesti
- Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Italy
| | - Paolo Mocarelli
- University Department Laboratory Medicine, Hospital of Desio, Monza, Italy
| | - Giuseppe Lucisano
- Center for Outcomes Research and Clinical Epidemiology (CORESEARCH), Pescara, Italy
| | - Michele Sacco
- Center for Outcomes Research and Clinical Epidemiology (CORESEARCH), Pescara, Italy
| | - Stefano Signorini
- University Department Laboratory Medicine, Hospital of Desio, Monza, Italy
| | | | | | | | | | - Giovanna Gregori
- Diabetes Unit, Massa Carrara, Azienda Unità Sanitarie Locali (USL) Toscana Nord Ovest, Carrara, Italy
| | - Carla Giordano
- Section of Endocrinology, Diabetology and Metabolic Diseases, University of Palermo, Palermo, Italy
| | - Laura Corsi
- Diabetes Unit, ASL 4 Chiavarese, Chiavari, Italy
| | | | - Gennaro Clemente
- Institute for Research on Population and Social Policies-National Research Council, Penta di Fisciano, Italy
| | | | - Rossella Iannarelli
- Diabetes Unit, Department of Medicine, San Salvatore Hospital, L'Aquila, Italy
| | - Renzo Cordera
- Diabetes Unit, School of Medicine, University of Genova, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Martino Hospital, Genova, Italy
| | - Olga La Macchia
- Endocrinology, Azienda Ospedaliero Universitaria Ospedali Riuniti, Foggia, Italy
| | | | - Cristiana Scaranna
- Endocrinology and Diabetology, Azienda Socio Sanitaria Territoriale (ASST) Papa Giovanni XXIII, Bergamo, Italy
| | - Massimo Boemi
- Diabetes and Metabolism Unit, IRCCS Istituto Nazionale Riposo e Cura Anziani, Ancona, Italy
| | - Ciro Iovine
- Diabetes Unit, University of Naples Federico II, Naples, Italy
| | - Davide Lauro
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Sergio Leotta
- UOC Diabetologia Ospedale Sandro Pertini, Rome, Italy
| | | | | | - Laura Tonutti
- Endocrinology, Diabetes, Metabolism and Clinical Nutrition Unit, Azienda Sanitaria Universitaria Integrata di Udine, Udine, Italy
| | - Giuseppe Pugliese
- Department of Clinical and Molecular Medicine, Sapienza University, Rome, Italy
| | | | | | - Francesco Dotta
- Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
| | - Antonino Di Benedetto
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Giuseppe Citro
- Endocrinology and Diabetes Unit, Azienda Sanitaria Locale di Potenza, Potenza, Italy
| | | | | | - Francesco Giorgino
- Department of Emergency and Organ Transplantation, Endocrinology and Metabolic Diseases, University of Bari Aldo Moro, Bari, Apulia, Italy
| | - Costanza Santini
- Department Endocrinology and Diabetology, Cesena Hospital, Cesena, Italy
| | - Agostino Gnasso
- Department of Clinical and Experimental Medicine, Magna Graecia University of Catanzaro, Italy
| | - Salvatore De Cosmo
- Unit of Internal Medicine, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | | | - Monica Vedovato
- Metabolism Unit, Azienda Ospedaliera di Padova, Padova, Italy
| | - Agostino Consoli
- Department of Medicine and Aging Sciences, and Aging and Translational Medicine Research Center (CeSI-Met), D'Annunzio University, Chieti-Pescara, Italy
| | | | - Paolo di Bartolo
- Diabetes Unit, Ravenna Internal Medicine Department, Romagna Local Health Unit, Ravenna, Italy
| | - Paolo Fornengo
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Gabriele Riccardi
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
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Corsini E, Vecchi R, Marabini L, Fermo P, Becagli S, Bernardoni V, Caruso D, Corbella L, Dell'Acqua M, Galli CL, Lonati G, Ozgen S, Papale A, Signorini S, Tardivo R, Valli G, Marinovich M. The chemical composition of ultrafine particles and associated biological effects at an alpine town impacted by wood burning. Sci Total Environ 2017; 587-588:223-231. [PMID: 28245934 DOI: 10.1016/j.scitotenv.2017.02.125] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Revised: 02/14/2017] [Accepted: 02/15/2017] [Indexed: 05/05/2023]
Abstract
This work is part of the TOBICUP (TOxicity of BIomass Combustion generated Ultrafine Particles) project which aimed at providing the composition of ultrafine particles (UFPs, i.e. particles with aerodynamic diameter, dae, lower than 100nm) emitted by wood combustion and elucidating the related toxicity. Results here reported are from two ambient monitoring campaigns carried out at an alpine town in Northern Italy, where wood burning is largely diffused for domestic heating in winter. Wintertime and summertime UFP samples were analyzed to assess their chemical composition (i.e. elements, ions, total carbon, anhydrosugars, and polycyclic aromatic hydrocarbons) and biological activity. The induction of the pro-inflammatory cytokine interleukin-8 (IL-8) by UFPs was investigated in two human cells lines (A549 and THP-1) and in human peripheral blood leukocytes. In addition, UFP-induced oxidative stress and genotoxicity were investigated in A549 cells. Ambient UFP-related effects were compared to those induced by traffic-emitted particles (DEP) taken from the NIES reference material "vehicle exhaust particulates". Ambient air UFPs induced a dose-related IL-8 release in both A549 and THP-1 cells; the effect was more relevant on summer samples and in general THP-1 cells were more sensitive than A549 cells. On a weight basis our data did not support a higher biological activity of ambient UFPs compared to DEP. The production of IL-8 in the whole blood assay indicated that UFPs reached systemic circulation and activated blood leukocytes. Comet assay and γ-H2AX evaluation showed a significant DNA damage especially in winter UFPs samples compared to control samples. Our study showed that ambient UFPs can evoke a pulmonary inflammatory response by inducing a dose-related IL-8 production and DNA damage, with different responses to UFP samples collected in the summer and winter periods.
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Affiliation(s)
- Emanuela Corsini
- Laboratory of Toxicology, DiSFeB, Università degli Studi di Milano, Via Balzaretti 8, 20133 Milan, Italy
| | - Roberta Vecchi
- Department of Physics, Università degli Studi di Milano, via Celoria 16, 20133 Milan, Italy.
| | - Laura Marabini
- Laboratory of Toxicology, DiSFeB, Università degli Studi di Milano, Via Balzaretti 8, 20133 Milan, Italy
| | - Paola Fermo
- Department of Chemistry, Università degli Studi di Milano, Via Golgi 19, 20133 Milan, Italy
| | - Silvia Becagli
- Department of Chemistry "Ugo Schiff", Università degli Studi di Firenze, Via della Lastruccia 3, 50019 Sesto Fiorentino, Italy
| | - Vera Bernardoni
- Department of Physics, Università degli Studi di Milano, via Celoria 16, 20133 Milan, Italy
| | - Donatella Caruso
- Mass Spectrometry Laboratory "Giovanni Galli", DiSFeB, Università degli Studi di Milano, Via Golgi 19, 20133 Milan, Italy
| | - Lorenza Corbella
- Department of Chemistry, Università degli Studi di Milano, Via Golgi 19, 20133 Milan, Italy
| | - Manuela Dell'Acqua
- Department of Physics, Università degli Studi di Milano, via Celoria 16, 20133 Milan, Italy
| | - Corrado L Galli
- Laboratory of Toxicology, DiSFeB, Università degli Studi di Milano, Via Balzaretti 8, 20133 Milan, Italy
| | - Giovanni Lonati
- Department of Civil and Environmental Engineering, Politecnico di Milano, P.zza Leonardo da Vinci 32, 20133 Milan, Italy
| | - Senem Ozgen
- Department of Civil and Environmental Engineering, Politecnico di Milano, P.zza Leonardo da Vinci 32, 20133 Milan, Italy
| | - Angela Papale
- Laboratory of Toxicology, DiSFeB, Università degli Studi di Milano, Via Balzaretti 8, 20133 Milan, Italy
| | - Stefano Signorini
- LEAP Energy and Environment Laboratory, Via Bixio 27/C, 29121 Piacenza, Italy
| | - Ruggero Tardivo
- Department of Civil and Environmental Engineering, Politecnico di Milano, P.zza Leonardo da Vinci 32, 20133 Milan, Italy
| | - Gianluigi Valli
- Department of Physics, Università degli Studi di Milano, via Celoria 16, 20133 Milan, Italy
| | - Marina Marinovich
- Laboratory of Toxicology, DiSFeB, Università degli Studi di Milano, Via Balzaretti 8, 20133 Milan, Italy
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21
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ter Maaten JM, Maggioni AP, Latini R, Masson S, Tognoni G, Tavazzi L, Signorini S, Voors AA, Damman K. Clinical and prognostic value of spot urinary creatinine in chronic heart failure-An analysis from GISSI-HF. Am Heart J 2017; 188:189-195. [PMID: 28577676 DOI: 10.1016/j.ahj.2017.01.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Accepted: 01/21/2017] [Indexed: 10/19/2022]
Abstract
OBJECTIVES This study aimed to identify patient characteristics associated with low urinary creatinine in morning spot urine and investigate its association with clinical outcome. BACKGROUND Twenty-four-hour creatinine excretion is an established marker of muscle mass in heart failure and other populations. Spot urine creatinine might be an easy obtainable, cheap marker of muscle wasting and prognosis in heart failure (HF) patients. METHODS Spot urine creatinine concentration was measured in 2130 patients included in the GISSI-HF trial. We evaluated the prognostic value of urinary creatinine and its relation with clinical variables. RESULTS Median spot urinary creatinine was 0.80 (IQR 0.50-1.10) g/L. Lower spot urinary creatinine was associated with older age, smaller height and weight, higher NYHA class, worse renal function and more frequent spironolactone and diuretic use (all P<.02). During a median follow-up of 2.8 years, 655 patients (31%) experienced the combined endpoint of all-cause mortality or HF hospitalization. Lower urinary creatinine was independently associated with an increased risk of all-cause mortality or HF hospitalization (HR, 1.59 [1.21-2.08] per log decrease, P=.001), and all-cause mortality (HR, 1.75 [1.25-2.45] per log decrease, P=.001). CONCLUSION Lower urinary creatinine, measured in morning spot urine in patients with chronic HF, is associated with worse renal function, smaller body size, more severe HF and is independently associated with an increased risk of all-cause death and HF hospitalization.
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22
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Vitale M, Vaccaro O, Masulli M, Bonora E, Del Prato S, Giorda CB, Nicolucci A, Squatrito S, Auciello S, Babini AC, Bani L, Buzzetti R, Cannarsa E, Cignarelli M, Cigolini M, Clemente G, Cocozza S, Corsi L, D'Angelo F, Dall'Aglio E, Di Cianni G, Fontana L, Gregori G, Grioni S, Giordano C, Iannarelli R, Iovine C, Lapolla A, Lauro D, Laviola L, Mazzucchelli C, Signorini S, Tonutti L, Trevisan R, Zamboni C, Riccardi G, Rivellese AA. Polyphenol intake and cardiovascular risk factors in a population with type 2 diabetes: The TOSCA.IT study. Clin Nutr 2016; 36:1686-1692. [PMID: 27890487 DOI: 10.1016/j.clnu.2016.11.002] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 10/28/2016] [Accepted: 11/01/2016] [Indexed: 02/06/2023]
Abstract
BACKGROUND The role of polyphenol intake on cardiovascular risk factors is little explored, particularly in people with diabetes. AIM To evaluate the association between the intake of total polyphenols and polyphenol classes with the major cardiovascular risk factors in a population with type 2 diabetes. METHODS Dietary habits were investigated in 2573 males and females participants of the TOSCA.IT study. The European Prospective Investigation on Cancer and Nutrition (EPIC) questionnaire was used to assess dietary habits. In all participants, among others, we assessed anthropometry, plasma lipids, blood pressure, C-reactive protein and HbA1c following a standard protocol. The USDA and Phenol-Explorer databases were used to estimate the polyphenol content of the habitual diet. RESULTS Average intake of polyphenols was 683.3 ± 5.8 mg/day. Flavonoids and phenolic acids were the predominant classes (47.5% and 47.4%, respectively). After adjusting for potential confounders, people with the highest intake of energy-adjusted polyphenols (upper tertile) had a more favorable cardiovascular risk factors profile as compared to people with the lowest intake (lower tertile) (BMI was 30.7 vs 29.9 kg/m2, HDL-cholesterol was 45.1 vs 46.9 mg/dl, LDL-cholesterol was 103.2 vs 102.1 mg/dl, triglycerides were 153.4 vs 148.0 mg/dl, systolic and diastolic blood pressure were respectively 135.3 vs 134.3 and 80.5 vs 79.6 mm/Hg, HbA1c was 7.70 vs 7.67%, and C-reactive Protein was 1.29 vs 1.25 mg/dl, p < .001 for all). The findings were very similar when the analysis was conducted separately for flavonoids or phenolic acids, the two main classes of polyphenols consumed in this population. CONCLUSIONS Polyphenol intake is associated with a more favorable cardiovascular risk factors profile, independent of major confounders. These findings support the consumption of foods and beverages rich in different classes of polyphenols particularly in people with diabetes. CLINICAL TRIAL http://www.clinicaltrials.gov; Study ID number: NCT00700856.
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Affiliation(s)
- Marilena Vitale
- Dipartimento di Medicina Clinica e Chirurgia, Università"Federico II", Naples, Italy
| | - Olga Vaccaro
- Dipartimento di Medicina Clinica e Chirurgia, Università"Federico II", Naples, Italy
| | - Maria Masulli
- Dipartimento di Medicina Clinica e Chirurgia, Università"Federico II", Naples, Italy
| | - Enzo Bonora
- Dipartimento di Endocrinologia, Diabetologia e Metabolismo, Università di Verona, Italy
| | - Stefano Del Prato
- Dipartimento di Medicina Clinica e Sperimentale, Università di Pisa, Italy
| | | | - Antonio Nicolucci
- CORESEARCH, Center for Outcomes Research and Clinical Epidemiology, Pescara, Italy
| | | | - Stefania Auciello
- Dipartimento di Medicina Clinica e Chirurgia, Università"Federico II", Naples, Italy
| | | | - Laura Bani
- Dipartimento di Patologia Sperimentale, Ospedale di Desio, Università di Milano Bicocca, Italy
| | - Raffaella Buzzetti
- UOC di Diabetologia Universitaria, Ospedale Santa Maria Goretti, Latina, Italy
| | | | - Mauro Cignarelli
- UO Endocrinologia e Malattie del Metabolismo, AOU di Foggia, Italy
| | - Massimo Cigolini
- Dipartimento di Endocrinologia, Diabetologia e Metabolismo, Università di Verona, Italy
| | - Gennaro Clemente
- IRPPS Research National Council, Penta di Fisciano, Salerno, Italy
| | - Sara Cocozza
- Dipartimento di Medicina Clinica e Chirurgia, Università"Federico II", Naples, Italy
| | - Laura Corsi
- SSD Diabetologia e Malattie del Metabolismo, ASL 4 Chiavarese, Genova, Italy
| | - Federica D'Angelo
- UOC Malattie Metaboliche e Diabetologia, INRCA-IRCCS Institute, Ancona, Italy
| | | | | | - Lucia Fontana
- UOC Diabetologia e Dietologia, Ospedale Pertini, Roma, Italy
| | - Giovanna Gregori
- UO Diabetologia e Malattie del Metabolismo, USL1 di Massa e Carrara, Italy
| | - Sara Grioni
- Unità di Epidemiologia e Prevenzione, Fondazione IRCCS, Istituto Nazionale Tumori, Milano, Italy
| | - Carla Giordano
- Dipartimento di Endocrinologia e Malattie Metaboliche, Università di Palermo, Italy
| | - Rossella Iannarelli
- UOSD Diabetologia e Malattie del Metabolismo, Ospedale San Salvatore, L'Aquila, Italy
| | - Ciro Iovine
- Dipartimento di Medicina Clinica e Chirurgia, Università"Federico II", Naples, Italy
| | | | - Davide Lauro
- Dipartimento di Medicina Interna, Università di Tor Vergata, Roma, Italy
| | - Luigi Laviola
- Dipartimento Emergenza e Trapianti di Organi, Università"Aldo Moro", Bari, Italy
| | | | - Stefano Signorini
- Dipartimento di Patologia Sperimentale, Ospedale di Desio, Università di Milano Bicocca, Italy
| | - Laura Tonutti
- SOC di Endocrinologia e Malattie del Metabolismo, AOU S. Maria della Misericordia, Udine, Italy
| | - Roberto Trevisan
- USC Malattie Endocrine-Diabetologia, ASST "Papa Giovanni XXIII", Bergamo, Italy
| | - Chiara Zamboni
- UO Malattie Metaboliche, Dietologia e Nutrizione Clinica, AOU Arcispedale S. Anna, Ferrara, Italy
| | - Gabriele Riccardi
- Dipartimento di Medicina Clinica e Chirurgia, Università"Federico II", Naples, Italy
| | - Angela A Rivellese
- Dipartimento di Medicina Clinica e Chirurgia, Università"Federico II", Naples, Italy.
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23
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Vitale M, Masulli M, Cocozza S, Anichini R, Babini AC, Boemi M, Bonora E, Buzzetti R, Carpinteri R, Caselli C, Ceccarelli E, Cignarelli M, Citro G, Clemente G, Consoli A, Corsi L, De Gregorio A, Di Bartolo P, Di Cianni G, Fontana L, Garofolo M, Giorda CB, Giordano C, Grioni S, Iovine C, Longhitano S, Mancastroppa G, Mazzucchelli C, Montani V, Mori M, Perriello G, Rinaldi ME, Ruffo MC, Salvi L, Sartore G, Scaranna C, Tonutti L, Zamboni C, Zogheri A, Krogh V, Cappellini F, Signorini S, Riccardi G, Vaccaro O. Sex differences in food choices, adherence to dietary recommendations and plasma lipid profile in type 2 diabetes - The TOSCA.IT study. Nutr Metab Cardiovasc Dis 2016; 26:879-885. [PMID: 27212622 DOI: 10.1016/j.numecd.2016.04.006] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Revised: 02/08/2016] [Accepted: 04/01/2016] [Indexed: 11/21/2022]
Abstract
BACKGROUND AND AIMS Diabetic women have a more adverse plasma lipid profile than men. Sex differences in dietary habits may play a role, but are little investigated. The study evaluates the quality of diet, adherence to the nutritional recommendations of the Diabetes and Nutrition Study Group and their relation with plasma lipid in men and women with diabetes. METHODS AND RESULTS We studied 2573 people, aged 50-75, enrolled in the TOSCA.IT study (clinicaltrials.gov; NCT00700856). Plasma lipids were measured centrally. Diet was assessed with a semi-quantitative food frequency questionnaire. Women had a more adverse plasma lipid profile than men. Women consumed significantly more legumes, vegetables, fruits, eggs, milk, vegetable oils, and added sugar, whereas men consumed more starchy foods, soft drinks and alcoholic beverages. This stands for a higher proportion (%) of energy intake from saturated fat and added sugar (12.0 ± 2.4 vs 11.5 ± 2.5 and 3.4 ± 3.2 vs 2.3 ± 3.2, P < 0.04), and a higher intake of fiber (11.2 ± 2.8 vs 10.4 ± 2.6 g/1000 Kcal/day) in women. Adherence to the recommendations for saturated fat and fiber consumption was associated with significantly lower LDL-cholesterol regardless of sex. Adherence to the recommendations for added sugars was associated with significantly lower triglycerides and higher HDL-cholesterol in men and women. CONCLUSIONS Men and women with diabetes show significant differences in adherence to nutritional recommendations, but sex differences in plasma lipid profile are unlikely to be explained by nutritional factors. Adherence to the nutritional recommendations is associated with a better plasma lipid profile regardless of sex, thus reinforcing the importance of substituting saturated for unsaturated fat sources, increasing fiber and reducing added sugar intake.
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Affiliation(s)
- M Vitale
- Dipartimento di Medicina Clinica e Chirurgia, Università "Federico II" di Napoli, Italy
| | - M Masulli
- Dipartimento di Medicina Clinica e Chirurgia, Università "Federico II" di Napoli, Italy
| | - S Cocozza
- Dipartimento di Medicina Clinica e Chirurgia, Università "Federico II" di Napoli, Italy
| | - R Anichini
- UO di Diabetologia, USL 3, Pistoia, Italy
| | - A C Babini
- Diabetologia, Ospedale Infermi, Rimini, Italy
| | - M Boemi
- UOC Malattie Metaboliche e Diabetologia, Istituto INRCA-IRCCS, Ancona, Italy
| | - E Bonora
- Dipartimento di Medicina, Divisione di Endocrinologia, Diabete e Metabolismo, Università di Verona, Italy
| | - R Buzzetti
- UOC di Diabetologia Universitaria, Ospedale Santa Maria Goretti, Latina, Italy
| | - R Carpinteri
- UO di Malattie Metaboliche e Diabetologia, AO Treviglio, Italy
| | - C Caselli
- UOD Endocrinologia e Diabetologia, AUSL della Romagna, Cesena, Italy
| | - E Ceccarelli
- UOC Diabetologia, Dipartimento di Medicina, Chirurgia e Neuroscienze, Università di Siena, Italy
| | | | - G Citro
- UO Endocrinologia e Diabetologia, ASP, Potenza, Italy
| | - G Clemente
- Dipartimento di Medicina Clinica e Chirurgia, Università "Federico II" di Napoli, Italy
| | - A Consoli
- DMSI e CeSI-Met, Università di Chieti-Pescara, Italy
| | - L Corsi
- SSD Diabetologia e Malattie Metaboliche, ASL 4 Chiavarese, Genova, Italy
| | - A De Gregorio
- UOSD Diabetologia, Ospedale San Salvatore, L'Aquila, Italy
| | - P Di Bartolo
- UO di Diabetologia Ravenna, A. Usl Romagna, Italy
| | | | - L Fontana
- UOC Diabetologia e Dietologia, Ospedale S. Pertini, Roma, Italy
| | - M Garofolo
- Dipartimento di Medicina Clinica e Sperimentale, Università di Pisa, Italy
| | | | - C Giordano
- Endocrinologia e Malattie Metaboliche, Università di Palermo, Italy
| | - S Grioni
- Unità di Epidemiologia e Prevenzione, Fondazione IRCCS, Istituto Nazionale Tumori, Milano, Italy
| | - C Iovine
- Dipartimento di Medicina Clinica e Chirurgia, Università "Federico II" di Napoli, Italy
| | - S Longhitano
- Dipartimento di Medicina Clinica e Sperimentale, Università di Catania, Italy
| | - G Mancastroppa
- Dipartimento di Medicina Clinica e Sperimentale, Università di Parma, Italy
| | | | - V Montani
- UOSD, Presidio Ospedaliero di Atri, Italy
| | - M Mori
- SSD Diabetologia, ASL 1, Massa Carrara, Italy
| | | | - M E Rinaldi
- Dipartimento di Medicina dei Sistemi, Università degli Studi di Roma "Tor Vergata", Italy
| | - M C Ruffo
- Dipartimento di Medicina Interna, Policlinico di Messina, Italy
| | - L Salvi
- Dipartimento di Medicina Clinica e Molecolare, Università "La Sapienza", Roma, Italy
| | - G Sartore
- DPT Medicina, Università degli Studi di Padova, Italy
| | - C Scaranna
- USC Malattie Endocrine e Diabetologia, AO Papa Giovanni XXIII, Bergamo, Italy
| | - L Tonutti
- SOC di Endocrinologia e Malattie del Metabolismo, AOU S. Maria della Misericordia, Udine, Italy
| | - C Zamboni
- UO Malattie Metaboliche, Dietologia e Nutrizione Clinica, AOU Arcispedale S. Anna, Ferrara, Italy
| | - A Zogheri
- UO di Diabetologia, Ospedale di Prato, Italy
| | - V Krogh
- Unità di Epidemiologia e Prevenzione, Fondazione IRCCS, Istituto Nazionale Tumori, Milano, Italy
| | - F Cappellini
- Dipartimento di Patologia Sperimentale, Ospedale di Desio, Università di Milano Bicocca, Italy
| | - S Signorini
- Dipartimento di Patologia Sperimentale, Ospedale di Desio, Università di Milano Bicocca, Italy
| | - G Riccardi
- Dipartimento di Medicina Clinica e Chirurgia, Università "Federico II" di Napoli, Italy
| | - O Vaccaro
- Dipartimento di Medicina Clinica e Chirurgia, Università "Federico II" di Napoli, Italy.
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Chinello C, Cazzaniga M, De Sio G, Smith AJ, Grasso A, Rocco B, Signorini S, Grasso M, Bosari S, Zoppis I, Mauri G, Magni F. Tumor size, stage and grade alterations of urinary peptidome in RCC. J Transl Med 2015; 13:332. [PMID: 26482227 PMCID: PMC4617827 DOI: 10.1186/s12967-015-0693-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Accepted: 10/10/2015] [Indexed: 01/23/2023] Open
Abstract
Background Several promising biomarkers have been found for RCC, but none of them has been used in clinical practice for predicting tumour progression. The most widely used features for predicting tumour aggressiveness still remain the cancer stage, size and grade. Therefore, the aim of our study is to investigate the urinary peptidome to search and identify peptides whose concentrations in urine are linked to tumour growth measure and clinical data. Methods A proteomic approach applied to ccRCC urinary peptidome (n = 117) based on prefractionation with activated magnetic beads followed by MALDI-TOF profiling was used. A systematic correlation study was performed on urinary peptide profiles obtained from MS analysis. Peptide identity was obtained by LC–ESI–MS/MS. Results Fifteen, twenty-six and five peptides showed a statistically significant alteration of their urinary concentration according to tumour size, pT and grade, respectively. Furthermore, 15 and 9 signals were observed to have urinary levels statistically modified in patients at different pT or grade values, even at very early stages. Among them, C1RL, A1AGx, ZAG2G, PGBM, MMP23, GP162, ADA19, G3P, RSPH3, DREB, NOTC2 SAFB2 and CC168 were identified. Conclusions We identified several peptides whose urinary abundance varied according to tumour size, stage and grade. Among them, several play a possible role in tumorigenesis, progression and aggressiveness. These results could be a useful starting point for future studies aimed at verifying their possible use in the managements of RCC patients. Electronic supplementary material The online version of this article (doi:10.1186/s12967-015-0693-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Clizia Chinello
- Department of Health Science, School of Medicine, University of Milano-Bicocca (UNIMIB), Via Cadore, 48, 20900, Monza, Italy.
| | - Marta Cazzaniga
- Department of Health Science, School of Medicine, University of Milano-Bicocca (UNIMIB), Via Cadore, 48, 20900, Monza, Italy.
| | - Gabriele De Sio
- Department of Health Science, School of Medicine, University of Milano-Bicocca (UNIMIB), Via Cadore, 48, 20900, Monza, Italy.
| | - Andrew James Smith
- Department of Health Science, School of Medicine, University of Milano-Bicocca (UNIMIB), Via Cadore, 48, 20900, Monza, Italy.
| | - Angelica Grasso
- Urology Unit, Department of Specialistic Surgical Sciences, Ospedale Maggiore Policlinico Foundation, Milan, Italy.
| | - Bernardo Rocco
- Urology Unit, Department of Specialistic Surgical Sciences, Ospedale Maggiore Policlinico Foundation, Milan, Italy.
| | | | - Marco Grasso
- Department of Surgical Pathology, Cytology, Medical Genetics and Nephropathology, Azienda Ospedaliera San Gerardo, Monza, Italy.
| | - Silvano Bosari
- Department of Medicine, Surgery and Dental Sciences, Pathology Unit, IRCCS-Policlinico Foundation, Mangiagalli and Regina Elena, University of Milan, Milan, Italy.
| | - Italo Zoppis
- Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy.
| | - Giancarlo Mauri
- Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy.
| | - Fulvio Magni
- Department of Health Science, School of Medicine, University of Milano-Bicocca (UNIMIB), Via Cadore, 48, 20900, Monza, Italy.
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Meani P, Cesana F, Panzeri F, Frigerio L, Giupponi L, Baroni M, Stucchi M, Alloni M, Moreo A, Brambilla P, Signorini S, Giannattasio C. IL-18 predicts cardiac organ damage in a population of hypertensive patients. Atherosclerosis 2014. [DOI: 10.1016/j.atherosclerosis.2014.05.400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Algeri P, Ornaghi S, Bernasconi DP, Cappellini F, Signorini S, Brambilla P, Urban G, Vergani P. Feto-maternal correlation of PTX3, sFlt-1 and PlGF in physiological and pre-eclamptic pregnancies. Hypertens Pregnancy 2014; 33:360-70. [PMID: 24724970 DOI: 10.3109/10641955.2014.903962] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
OBJECTIVE PTX3, sFlt-1 and PlGF levels in maternal blood are altered in some obstetric diseases, such as preeclampsia (PE). Nonetheless, only few data on their expression in the fetal compartment have been reported so far. STUDY DESIGN An observational study was performed by prospectively collecting maternal and fetal serum samples in 51 singleton pregnancies divided into two groups: 22 PE women and 29 healthy controls. The relationships between maternal and fetal marker serum levels were evaluated by Spearman correlation. RESULTS A feto-maternal correlation was neither identified for PTX3 in either PE or control groups (1.1 versus 3.8 ng/ml, p = 0.17 and 0.9 versus 1.3 ng/ml, p = 0.30, respectively), nor for sFlt-1 and PlGF in healthy pregnancies (158.2 versus 3326.0 pg/ml, p = 0.28 and 11.0 versus 230.9 pg/ml, p = 0.51). In contrast, PE patients showed a significant positive feto-maternal correlation for both sFlt-1 and PlGF (324.1 versus 10 825.0 pg/ml and 7.8 versus 31.6 pg/ml, respectively, p = 0.02 for both markers). CONCLUSION According to our results, an independent fetal production of the analyzed soluble angiogenic markers can be hypothesized in pregnancies complicated by PE.
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Affiliation(s)
- Paola Algeri
- Department of Obstetrics and Gynecology, University of Milan-Bicocca , Monza , Italy
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Fogh I, Ratti A, Gellera C, Lin K, Tiloca C, Moskvina V, Corrado L, Sorarù G, Cereda C, Corti S, Gentilini D, Calini D, Castellotti B, Mazzini L, Querin G, Gagliardi S, Del Bo R, Conforti FL, Siciliano G, Inghilleri M, Saccà F, Bongioanni P, Penco S, Corbo M, Sorbi S, Filosto M, Ferlini A, Di Blasio AM, Signorini S, Shatunov A, Jones A, Shaw PJ, Morrison KE, Farmer AE, Van Damme P, Robberecht W, Chiò A, Traynor BJ, Sendtner M, Melki J, Meininger V, Hardiman O, Andersen PM, Leigh NP, Glass JD, Overste D, Diekstra FP, Veldink JH, van Es MA, Shaw CE, Weale ME, Lewis CM, Williams J, Brown RH, Landers JE, Ticozzi N, Ceroni M, Pegoraro E, Comi GP, D'Alfonso S, van den Berg LH, Taroni F, Al-Chalabi A, Powell J, Silani V. A genome-wide association meta-analysis identifies a novel locus at 17q11.2 associated with sporadic amyotrophic lateral sclerosis. Hum Mol Genet 2013; 23:2220-31. [PMID: 24256812 DOI: 10.1093/hmg/ddt587] [Citation(s) in RCA: 105] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Identification of mutations at familial loci for amyotrophic lateral sclerosis (ALS) has provided novel insights into the aetiology of this rapidly progressing fatal neurodegenerative disease. However, genome-wide association studies (GWAS) of the more common (∼90%) sporadic form have been less successful with the exception of the replicated locus at 9p21.2. To identify new loci associated with disease susceptibility, we have established the largest association study in ALS to date and undertaken a GWAS meta-analytical study combining 3959 newly genotyped Italian individuals (1982 cases and 1977 controls) collected by SLAGEN (Italian Consortium for the Genetics of ALS) together with samples from Netherlands, USA, UK, Sweden, Belgium, France, Ireland and Italy collected by ALSGEN (the International Consortium on Amyotrophic Lateral Sclerosis Genetics). We analysed a total of 13 225 individuals, 6100 cases and 7125 controls for almost 7 million single-nucleotide polymorphisms (SNPs). We identified a novel locus with genome-wide significance at 17q11.2 (rs34517613 with P = 1.11 × 10(-8); OR 0.82) that was validated when combined with genotype data from a replication cohort (P = 8.62 × 10(-9); OR 0.833) of 4656 individuals. Furthermore, we confirmed the previously reported association at 9p21.2 (rs3849943 with P = 7.69 × 10(-9); OR 1.16). Finally, we estimated the contribution of common variation to heritability of sporadic ALS as ∼12% using a linear mixed model accounting for all SNPs. Our results provide an insight into the genetic structure of sporadic ALS, confirming that common variation contributes to risk and that sufficiently powered studies can identify novel susceptibility loci.
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Cappellini F, Da Molin S, Signorini S, Avanzini F, Saltafossi D, Falbo R, Brambilla P. Heart-type fatty acid-binding protein may exclude acute myocardial infarction on admission to emergency department for chest pain. ACTA ACUST UNITED AC 2013; 15:83-7. [DOI: 10.3109/17482941.2013.841947] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Hu YJ, Berndt S, Gustafsson S, Ganna A, Hirschhorn J, North KE, Ingelsson E, Lin DY, Berndt S, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa M, Justice A, Monda K, Croteau-Chonka D, Day F, Esko T, Fall T, Ferreira T, Gentilini D, Jackson A, Luan J, Randall J, Vedantam S, Willer C, Winkler T, Wood A, Workalemahu T, Hu YJ, Lee S, Liang L, Lin DY, Min J, Neale B, Thorleifsson G, Yang J, Albrecht E, Amin N, Bragg-Gresham J, Cadby G, den Heijer M, Eklund N, Fischer K, Goel A, Hottenga JJ, Huffman J, Jarick I, Johansson Å, Johnson T, Kanoni S, Kleber M, König I, Kristiansson K, Kutalik Z, Lamina C, Lecoeur C, Li G, Mangino M, McArdle W, Medina-Gomez C, Müller-Nurasyid M, Ngwa J, Nolte I, Paternoster L, Pechlivanis S, Perola M, Peters M, Preuss M, Rose L, Shi J, Shungin D, Smith A, Strawbridge R, Surakka I, Teumer A, Trip M, Tyrer J, Van Vliet-Ostaptchouk J, Vandenput L, Waite L, Zhao J, Absher D, Asselbergs F, Atalay M, Attwood A, Balmforth A, Basart H, Beilby J, Bonnycastle L, Brambilla P, Bruinenberg M, Campbell H, Chasman D, Chines P, Collins F, Connell J, Cookson W, de Faire U, de Vegt F, Dei M, Dimitriou M, Edkins S, Estrada K, Evans D, Farrall M, Ferrario M, Ferrières J, Franke L, Frau F, Gejman P, Grallert H, Grönberg H, Gudnason V, Hall A, Hall P, Hartikainen AL, Hayward C, Heard-Costa N, Heath A, Hebebrand J, Homuth G, Hu F, Hunt S, Hyppönen E, Iribarren C, Jacobs K, Jansson JO, Jula A, Kähönen M, Kathiresan S, Kee F, Khaw KT, Kivimaki M, Koenig W, Kraja A, Kumari M, Kuulasmaa K, Kuusisto J, Laitinen J, Lakka T, Langenberg C, Launer L, Lind L, Lindström J, Liu J, Liuzzi A, Lokki ML, Lorentzon M, Madden P, Magnusson P, Manunta P, Marek D, März W, Leach I, McKnight B, Medland S, Mihailov E, Milani L, Montgomery G, Mooser V, Mühleisen T, Munroe P, Musk A, Narisu N, Navis G, Nicholson G, Nohr E, Ong K, Oostra B, Palmer C, Palotie A, Peden J, Pedersen N, Peters A, Polasek O, Pouta A, Pramstaller P, Prokopenko I, Pütter C, Radhakrishnan A, Raitakari O, Rendon A, Rivadeneira F, Rudan I, Saaristo T, Sambrook J, Sanders A, Sanna S, Saramies J, Schipf S, Schreiber S, Schunkert H, Shin SY, Signorini S, Sinisalo J, Skrobek B, Soranzo N, Stančáková A, Stark K, Stephens J, Stirrups K, Stolk R, Stumvoll M, Swift A, Theodoraki E, Thorand B, Tregouet DA, Tremoli E, Van der Klauw M, van Meurs J, Vermeulen S, Viikari J, Virtamo J, Vitart V, Waeber G, Wang Z, Widén E, Wild S, Willemsen G, Winkelmann B, Witteman J, Wolffenbuttel B, Wong A, Wright A, Zillikens M, Amouyel P, Boehm B, Boerwinkle E, Boomsma D, Caulfield M, Chanock S, Cupples L, Cusi D, Dedoussis G, Erdmann J, Eriksson J, Franks P, Froguel P, Gieger C, Gyllensten U, Hamsten A, Harris T, Hengstenberg C, Hicks A, Hingorani A, Hinney A, Hofman A, Hovingh K, Hveem K, Illig T, Jarvelin MR, Jöckel KH, Keinanen-Kiukaanniemi S, Kiemeney L, Kuh D, Laakso M, Lehtimäki T, Levinson D, Martin N, Metspalu A, Morris A, Nieminen M, Njølstad I, Ohlsson C, Oldehinkel A, Ouwehand W, Palmer L, Penninx B, Power C, Province M, Psaty B, Qi L, Rauramaa R, Ridker P, Ripatti S, Salomaa V, Samani N, Snieder H, Sørensen T, Spector T, Stefansson K, Tönjes A, Tuomilehto J, Uitterlinden A, Uusitupa M, van der Harst P, Vollenweider P, Wallaschofski H, Wareham N, Watkins H, Wichmann HE, Wilson J, Abecasis G, Assimes T, Barroso I, Boehnke M, Borecki I, Deloukas P, Fox C, Frayling T, Groop L, Haritunian T, Heid I, Hunter D, Kaplan R, Karpe F, Moffatt M, Mohlke K, O’Connell J, Pawitan Y, Schadt E, Schlessinger D, Steinthorsdottir V, Strachan D, Thorsteinsdottir U, van Duijn C, Visscher P, Di Blasio A, Hirschhorn J, Lindgren C, Morris A, Meyre D, Scherag A, McCarthy M, Speliotes E, North K, Loos R, Ingelsson E. Meta-analysis of gene-level associations for rare variants based on single-variant statistics. Am J Hum Genet 2013; 93:236-48. [PMID: 23891470 DOI: 10.1016/j.ajhg.2013.06.011] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2013] [Revised: 06/05/2013] [Accepted: 06/12/2013] [Indexed: 02/02/2023] Open
Abstract
Meta-analysis of genome-wide association studies (GWASs) has led to the discoveries of many common variants associated with complex human diseases. There is a growing recognition that identifying "causal" rare variants also requires large-scale meta-analysis. The fact that association tests with rare variants are performed at the gene level rather than at the variant level poses unprecedented challenges in the meta-analysis. First, different studies may adopt different gene-level tests, so the results are not compatible. Second, gene-level tests require multivariate statistics (i.e., components of the test statistic and their covariance matrix), which are difficult to obtain. To overcome these challenges, we propose to perform gene-level tests for rare variants by combining the results of single-variant analysis (i.e., p values of association tests and effect estimates) from participating studies. This simple strategy is possible because of an insight that multivariate statistics can be recovered from single-variant statistics, together with the correlation matrix of the single-variant test statistics, which can be estimated from one of the participating studies or from a publicly available database. We show both theoretically and numerically that the proposed meta-analysis approach provides accurate control of the type I error and is as powerful as joint analysis of individual participant data. This approach accommodates any disease phenotype and any study design and produces all commonly used gene-level tests. An application to the GWAS summary results of the Genetic Investigation of ANthropometric Traits (GIANT) consortium reveals rare and low-frequency variants associated with human height. The relevant software is freely available.
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Warner M, Mocarelli P, Brambilla P, Wesselink A, Samuels S, Signorini S, Eskenazi B. Diabetes, metabolic syndrome, and obesity in relation to serum dioxin concentrations: the Seveso women's health study. Environ Health Perspect 2013; 121:906-11. [PMID: 23674506 PMCID: PMC3734493 DOI: 10.1289/ehp.1206113] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2012] [Accepted: 05/13/2013] [Indexed: 05/09/2023]
Abstract
BACKGROUND In animal studies, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) alters glucose transport and increases serum lipid levels and blood pressure. Epidemiologic evidence suggests an association between TCDD and metabolic disease. OBJECTIVES On 10 July 1976, a chemical explosion in Seveso, Italy, resulted in the highest known residential exposure to TCDD. Using data from the Seveso Women's Health Study (SWHS), a cohort study of the health of the women, we examined the relation of serum TCDD to diabetes, metabolic syndrome, and obesity > 30 years later. METHODS In 1996, we enrolled 981 women who were newborn to 40 years of age in 1976 and resided in the most contaminated areas. Individual TCDD concentration was measured in archived serum that had been collected soon after the explosion. In 2008, 833 women participated in a follow-up study. Diabetes was classified based on self-report or fasting serum glucose and glycated hemoglobin levels. Metabolic syndrome was defined by International Diabetes Federation criteria. Obesity was defined as body mass index ≥ 30 kg/m2. RESULTS A 10-fold increase in serum TCDD (log10TCDD) was not associated with diabetes (adjusted hazard ratio = 0.76; 95% CI: 0.45, 1.28) or obesity [adjusted odds ratio (OR) = 0.80; 95% CI: 0.58, 1.10]. Log10TCDD was associated with metabolic syndrome, but only among women who were ≤ 12 years of age at the time of the explosion (adjusted OR = 2.03; 95% CI: 1.25, 3.29; pinteraction = 0.01). CONCLUSIONS We found an increased prevalence of metabolic syndrome associated with TCDD, but only among women who were the youngest at the time of the explosion. Continued follow-up of the SWHS cohort will be informative.
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Affiliation(s)
- Marcella Warner
- Center for Environmental Research and Children's Health, School of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA.
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Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, Esko T, Fall T, Ferreira T, Gentilini D, Jackson AU, Luan J, Randall JC, Vedantam S, Willer CJ, Winkler TW, Wood AR, Workalemahu T, Hu YJ, Lee SH, Liang L, Lin DY, Min JL, Neale BM, Thorleifsson G, Yang J, Albrecht E, Amin N, Bragg-Gresham JL, Cadby G, den Heijer M, Eklund N, Fischer K, Goel A, Hottenga JJ, Huffman JE, Jarick I, Johansson Å, Johnson T, Kanoni S, Kleber ME, König IR, Kristiansson K, Kutalik Z, Lamina C, Lecoeur C, Li G, Mangino M, McArdle WL, Medina-Gomez C, Müller-Nurasyid M, Ngwa JS, Nolte IM, Paternoster L, Pechlivanis S, Perola M, Peters MJ, Preuss M, Rose LM, Shi J, Shungin D, Smith AV, Strawbridge RJ, Surakka I, Teumer A, Trip MD, Tyrer J, Van Vliet-Ostaptchouk JV, Vandenput L, Waite LL, Zhao JH, Absher D, Asselbergs FW, Atalay M, Attwood AP, Balmforth AJ, Basart H, Beilby J, Bonnycastle LL, Brambilla P, Bruinenberg M, Campbell H, Chasman DI, Chines PS, Collins FS, Connell JM, Cookson W, de Faire U, de Vegt F, Dei M, Dimitriou M, Edkins S, Estrada K, Evans DM, Farrall M, Ferrario MM, Ferrières J, Franke L, Frau F, Gejman PV, Grallert H, Grönberg H, Gudnason V, Hall AS, Hall P, Hartikainen AL, Hayward C, Heard-Costa NL, Heath AC, Hebebrand J, Homuth G, Hu FB, Hunt SE, Hyppönen E, Iribarren C, Jacobs KB, Jansson JO, Jula A, Kähönen M, Kathiresan S, Kee F, Khaw KT, Kivimaki M, Koenig W, Kraja AT, Kumari M, Kuulasmaa K, Kuusisto J, Laitinen JH, Lakka TA, Langenberg C, Launer LJ, Lind L, Lindström J, Liu J, Liuzzi A, Lokki ML, Lorentzon M, Madden PA, Magnusson PK, Manunta P, Marek D, März W, Mateo Leach I, McKnight B, Medland SE, Mihailov E, Milani L, Montgomery GW, Mooser V, Mühleisen TW, Munroe PB, Musk AW, Narisu N, Navis G, Nicholson G, Nohr EA, Ong KK, Oostra BA, Palmer CN, Palotie A, Peden JF, Pedersen N, Peters A, Polasek O, Pouta A, Pramstaller PP, Prokopenko I, Pütter C, Radhakrishnan A, Raitakari O, Rendon A, Rivadeneira F, Rudan I, Saaristo TE, Sambrook JG, Sanders AR, Sanna S, Saramies J, Schipf S, Schreiber S, Schunkert H, Shin SY, Signorini S, Sinisalo J, Skrobek B, Soranzo N, Stančáková A, Stark K, Stephens JC, Stirrups K, Stolk RP, Stumvoll M, Swift AJ, Theodoraki EV, Thorand B, Tregouet DA, Tremoli E, Van der Klauw MM, van Meurs JB, Vermeulen SH, Viikari J, Virtamo J, Vitart V, Waeber G, Wang Z, Widén E, Wild SH, Willemsen G, Winkelmann BR, Witteman JC, Wolffenbuttel BH, Wong A, Wright AF, Zillikens MC, Amouyel P, Boehm BO, Boerwinkle E, Boomsma DI, Caulfield MJ, Chanock SJ, Cupples LA, Cusi D, Dedoussis GV, Erdmann J, Eriksson JG, Franks PW, Froguel P, Gieger C, Gyllensten U, Hamsten A, Harris TB, Hengstenberg C, Hicks AA, Hingorani A, Hinney A, Hofman A, Hovingh KG, Hveem K, Illig T, Jarvelin MR, Jöckel KH, Keinanen-Kiukaanniemi SM, Kiemeney LA, Kuh D, Laakso M, Lehtimäki T, Levinson DF, Martin NG, Metspalu A, Morris AD, Nieminen MS, Njølstad I, Ohlsson C, Oldehinkel AJ, Ouwehand WH, Palmer LJ, Penninx B, Power C, Province MA, Psaty BM, Qi L, Rauramaa R, Ridker PM, Ripatti S, Salomaa V, Samani NJ, Snieder H, Sørensen TI, Spector TD, Stefansson K, Tönjes A, Tuomilehto J, Uitterlinden AG, Uusitupa M, van der Harst P, Vollenweider P, Wallaschofski H, Wareham NJ, Watkins H, Wichmann HE, Wilson JF, Abecasis GR, Assimes TL, Barroso I, Boehnke M, Borecki IB, Deloukas P, Fox CS, Frayling T, Groop LC, Haritunian T, Heid IM, Hunter D, Kaplan RC, Karpe F, Moffatt M, Mohlke KL, O’Connell JR, Pawitan Y, Schadt EE, Schlessinger D, Steinthorsdottir V, Strachan DP, Thorsteinsdottir U, van Duijn CM, Visscher PM, Di Blasio AM, Hirschhorn JN, Lindgren CM, Morris AP, Meyre D, Scherag A, McCarthy MI, Speliotes EK, North KE, Loos RJ, Ingelsson E. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nat Genet 2013; 45:501-12. [PMID: 23563607 PMCID: PMC3973018 DOI: 10.1038/ng.2606] [Citation(s) in RCA: 436] [Impact Index Per Article: 39.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2012] [Accepted: 03/14/2013] [Indexed: 12/25/2022]
Abstract
Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.
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Affiliation(s)
- Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Reedik Mägi
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
| | - Andrea Ganna
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Eleanor Wheeler
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Mary F. Feitosa
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA
| | - Anne E. Justice
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514, USA
| | - Keri L. Monda
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514, USA
- Center for Observational Research, Amgen, Thousands Oaks, CA, 91320
| | | | - Felix R. Day
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Tove Fall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Teresa Ferreira
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Davide Gentilini
- Molecular Biology Department, Istituto Auxologico Italiano, Milano, Italy
| | - Anne U. Jackson
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Jian’an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
| | - Joshua C. Randall
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Sailaja Vedantam
- Divisions of Genetics and Endocrinology and Center for Basic and Translational Obesity Research, Children’s Hospital, Boston, Massachusetts 02115, USA
- Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Cristen J. Willer
- Department of Internal Medicine (Cardiovascular), University of Michigan, Ann Arbor, MI 48109, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, MI 48109, USA
| | - Thomas W. Winkler
- Public Health and Gender Studies, Institute of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany
| | - Andrew R. Wood
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK
| | - Tsegaselassie Workalemahu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Yi-Juan Hu
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia 30322, USA
| | - Sang Hong Lee
- The Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Liming Liang
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Dan-Yu Lin
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Josine L. Min
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Benjamin M. Neale
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114
| | | | - Jian Yang
- University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australia
- Queensland Institute of Medical Research, Brisbane 4029, Australia
| | - Eva Albrecht
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | - Jennifer L. Bragg-Gresham
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Gemma Cadby
- Genetic Epidemiology and Biostatistics Platform, Ontario Institute for Cancer Research. Toronto, Canada, M5G 1L7
- Prosserman Centre for Health Research, Samuel Lunenfeld Research Institute, Toronto, Canada, M5G 1X5
- Centre for Genetic Epidemiology and Biostatistics, University of Western Australia, Crawley, Western Australia 6009, Australia
| | - Martin den Heijer
- Department of Internal Medicine, VU University Medical Centre, Amsterdam, The Netherlands
| | - Niina Eklund
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
| | - Anuj Goel
- Cardiovascular Medicine, University of Oxford, Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - Jennifer E. Huffman
- MRC Human Genetics Unit, MRC Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Ivonne Jarick
- Institute of Medical Biometry and Epidemiology, University of Marburg, 35037 Marburg, Germany
| | - Åsa Johansson
- Department of Immunology, Genetics and Pathology, Uppsala University, Sweden
- Uppsala Clinical Research Center, Uppsala university hospital, Sweden
| | - Toby Johnson
- Genome Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK
| | - Stavroula Kanoni
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Marcus E. Kleber
- LURIC Study nonprofit LLC, Freiburg, Germany
- Mannheim Institute of Public Health, Social and Preventive Medicine, Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany
| | - Inke R. König
- Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
| | - Kati Kristiansson
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland
| | - Zoltán Kutalik
- Department of Medical Genetics, University of Lausanne, 1005 Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Claudia Lamina
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, 6020 Innsbruck, Austria
| | - Cecile Lecoeur
- University Lille Nord de France, 59000 Lille, France
- CNRS UMR8199-IBL-Institut Pasteur de Lille, F-59000 Lille, France
| | - Guo Li
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington 98101, USA
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, SE1 7EH, UK
| | - Wendy L. McArdle
- School of Social and Community Medicine, University of Bristol, UK
| | - Carolina Medina-Gomez
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany
- Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, Munich, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology and Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
| | - Julius S. Ngwa
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Ilja M. Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Lavinia Paternoster
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN, UK
| | - Sonali Pechlivanis
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Markus Perola
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland
| | - Marjolein J. Peters
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Michael Preuss
- Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
- Universität zu Lübeck, Medizinische Klinik II, 23538 Lübeck, Germany
| | - Lynda M. Rose
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts 02215, USA
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA
| | - Dmitry Shungin
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital Malmö, Lund University, Malmö, Sweden
- Department of Public Health & Clinical Medicine, Umeå University, Umeå, Sweden
- Department of Odontology, Umeå University, Sweden
| | - Albert Vernon Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - Rona J. Strawbridge
- Atherosclerosis Research Unit, Department of Medicine, Solna, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Ida Surakka
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, 17487 Greifswald, Germany
| | - Mieke D. Trip
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands
- Heart Failure Research Centre, Department of Clinical and Experimental Cardiology, Academic Medical Center, Amsterdam, the Netherlands
| | - Jonathan Tyrer
- Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Jana V. Van Vliet-Ostaptchouk
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, P.O. Box 30001, 9700 RB Groningen, The Netherlands
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Liesbeth Vandenput
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden
| | - Lindsay L. Waite
- Hudson Alpha Institute for Biotechnology, Huntsville, Alabama 35806, USA
| | - Jing Hua Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
| | - Devin Absher
- Hudson Alpha Institute for Biotechnology, Huntsville, Alabama 35806, USA
| | - Folkert W. Asselbergs
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, The Netherlands
| | - Mustafa Atalay
- Institute of Biomedicine/Physiology, University of Eastern Finland, Kuopio Campus, Finland
| | | | - Anthony J. Balmforth
- Division of Epidemiology, Multidisciplinary Cardiovascular Research Centre (MCRC), Leeds Institute of Genetics, Health and Therapeutics (LIGHT), University of Leeds, Leeds LS2 9JT, UK
| | - Hanneke Basart
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands
| | - John Beilby
- PathWest Laboratory of Western Australia, Department of Molecular Genetics, J Block, QEII Medical Centre, Nedlands, Western Australia 6009, Australia
- Department of Surgery and Pathology, University of Western Australia, Nedlands, Australia, 6009
| | - Lori L. Bonnycastle
- Genome Technology Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Paolo Brambilla
- Dipartimento di Medicina Sperimentale. Università degli Studi Milano-Bicocca, Monza, Italy
| | - Marcel Bruinenberg
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Harry Campbell
- Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts 02215, USA
- Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Peter S. Chines
- Genome Technology Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Francis S. Collins
- Genome Technology Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - John M. Connell
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
- University of Dundee, Ninewells Hospital &Medical School, Dundee, DD1 9SY, UK
| | - William Cookson
- National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK
| | - Ulf de Faire
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Femmie de Vegt
- Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands
| | - Mariano Dei
- Istituto di Ricerca Genetica e Biomedicadel del CNR, Monserrato, 09042, Cagliari, Italy
| | - Maria Dimitriou
- Department of Dietetics-Nutrition, Harokopio University, 70 El. Venizelou Str, Athens, Greece
| | - Sarah Edkins
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Karol Estrada
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - David M. Evans
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN, UK
| | - Martin Farrall
- Cardiovascular Medicine, University of Oxford, Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Marco M. Ferrario
- Epidemiology and Preventive Medicine Research Center, Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy
| | - Jean Ferrières
- Department of Cardiology, Toulouse University School of Medicine, Rangueil Hospital, Toulouse, France
| | - Lude Franke
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
- Department of Genetics, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Francesca Frau
- University of Milan, Department of Health Sciences, Ospedale San Paolo, 20139 Milano, Italy
| | - Pablo V. Gejman
- University of Chicago, Chicago, Illinois 60637, USA
- Northshore University HealthSystem, Evanston, Illinois 60201, USA
| | - Harald Grallert
- Research Unit for Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - Alistair S. Hall
- Division of Cardiovascular and Neuronal Remodelling, Multidisciplinary Cardiovascular Research Centre, Leeds Institute of Genetics, Health and Therapeutics, University of Leeds, UK
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Anna-Liisa Hartikainen
- Department of Clinical Sciences/Obstetrics and Gynecology, University of Oulu, 90014 Oulu, Finland
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Nancy L. Heard-Costa
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Andrew C. Heath
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, University of Duisburg-Essen, 45147 Essen, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, 17487 Greifswald, Germany
| | - Frank B. Hu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Sarah E. Hunt
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Elina Hyppönen
- Centre For Paediatric Epidemiolgy and Biostatistics/MRC Centre of Epidemiology for Child Health, University College of London Institute of Child Health, London, UK
| | - Carlos Iribarren
- Division of Research, Kaiser Permanente Northern California, Oakland, California 94612, USA
| | - Kevin B. Jacobs
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA
- Core Genotyping Facility, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland 21702, USA
| | - John-Olov Jansson
- Department of Physiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Antti Jula
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Population Studies Unit, 20720 Turku, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, University of Tampere and Tampere University Hospital, 33520 Tampere, Finland
| | - Sekar Kathiresan
- Cardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Frank Kee
- UKCRC Centre of Excellence for Public Health (NI) Queens University, Belfast
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge CB2 2SR, UK
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Wolfgang Koenig
- Department of Internal Medicine II – Cardiology, University of Ulm Medical Center, Ulm, Germany
| | - Aldi T. Kraja
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA
| | - Meena Kumari
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Kari Kuulasmaa
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Chronic Disease Epidemiology and Prevention Unit, 00271, Helsinki, Finland
| | - Johanna Kuusisto
- Department of Medicine, University of Eastern Finland, Kuopio Campus and Kuopio University Hospital, 70210 Kuopio, Finland
| | | | - Timo A. Lakka
- Institute of Biomedicine/Physiology, University of Eastern Finland, Kuopio Campus, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Akademiska sjukhuset, 751 85 Uppsala, Sweden
| | - Jaana Lindström
- National Institute for Health and Welfare, Diabetes Prevention Unit, 00271 Helsinki, Finland
| | - Jianjun Liu
- Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore
| | - Antonio Liuzzi
- Department of Internal Medicine, Istituto Auxologico Italiano, Verbania, Italy
| | - Marja-Liisa Lokki
- Transplantation Laboratory, Haartman Institute, University of Helsinki, 00014, Helsinki, Finland
| | - Mattias Lorentzon
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden
| | - Pamela A. Madden
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
| | - Patrik K. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Paolo Manunta
- Università Vita-Salute San Raffaele, Chair of Nephrology San Raffaele Scientific Institute, OU Nephrology and Dialysis, 20132 Milan, Italy
| | - Diana Marek
- Department of Medical Genetics, University of Lausanne, 1005 Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Winfried März
- Mannheim Institute of Public Health, Social and Preventive Medicine, Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany
- Synlab Academy, Mannheim, Germany
| | - Irene Mateo Leach
- Department of Cardiology, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Barbara McKnight
- Departments of Biostatistics, University of Washington, Seattle, Washington 98195, USA
| | - Sarah E. Medland
- Queensland Institute of Medical Research, Brisbane 4029, Australia
| | - Evelin Mihailov
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
| | | | - Vincent Mooser
- Genetics Division, GlaxoSmithKline, King of Prussia, Pennsylvania 19406, USA
| | - Thomas W. Mühleisen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Patricia B. Munroe
- Genome Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK
| | - Arthur W. Musk
- School of Population Health, The University of Western Australia, Nedlands WA 6009, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, Australia, 6009
- Busselton Population Medical Research Foundation Inc., Sir Charles Gairdner Hospital, Nedlands, Western Australia 6009, Australia
| | - Narisu Narisu
- Genome Technology Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Gerjan Navis
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen
| | - George Nicholson
- MRC Harwell, Harwell, UK
- Department of Statistics, University of Oxford, Oxford OX1 3TG, UK
| | - Ellen A. Nohr
- Department of Public Health, Section of Epidemiology, Aarhus University, Denmark
| | - Ken K. Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
- MRC Unit for Lifelong Health & Ageing, London, UK
| | - Ben A. Oostra
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
- Department of Clinical Genetics, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Centre for Medical Systems Biology & Netherlands Consortium on Healthy Aging, Leiden, the Netherlands
| | - Colin N.A. Palmer
- Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School. Dundee, DD1 9SY
| | - Aarno Palotie
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland
| | | | - Nancy Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Annette Peters
- Research Unit for Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Munich Heart Alliance, Munich, Germany
| | | | - Anneli Pouta
- Department of Clinical Sciences/Obstetrics and Gynecology, University of Oulu, 90014 Oulu, Finland
- National Institute for Health and Welfare, 90101 Oulu, Finland
| | - Peter P. Pramstaller
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano/Bozen, 39100, Italy - Affiliated Institute of the University of Lübeck, Lübeck, Germany
- Department of Neurology, General Central Hospital, Bolzano, Italy
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, UK
| | - Carolin Pütter
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Aparna Radhakrishnan
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK
- NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520 Turku, Finland
- The Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, 20520 Turku, Finland
| | - Augusto Rendon
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK
- NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK
- MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Igor Rudan
- Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Timo E. Saaristo
- Finnish Diabetes Association, Kirjoniementie 15, 33680, Tampere, Finland
- Pirkanmaa Hospital District, Tampere, Finland
| | - Jennifer G. Sambrook
- Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK
- NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK
| | - Alan R. Sanders
- University of Chicago, Chicago, Illinois 60637, USA
- Northshore University HealthSystem, Evanston, Illinois 60201, USA
| | - Serena Sanna
- Istituto di Ricerca Genetica e Biomedicadel del CNR, Monserrato, 09042, Cagliari, Italy
| | - Jouko Saramies
- South Karelia Central Hospital, 53130 Lappeenranta, Finland
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Stefan Schreiber
- Institute for Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
| | - Heribert Schunkert
- Universität zu Lübeck, Medizinische Klinik II, 23538 Lübeck, Germany
- Deutsches Zentrum für Herz-Kreislaufforschung e. V. (DZHK), Universität zu Lübeck, 23538 Lübeck, Germany
| | - So-Youn Shin
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | | | - Juha Sinisalo
- Division of Cardiology, Cardiovascular Laboratory, Helsinki University Central Hospital, 00029 Helsinki, Finland
| | - Boris Skrobek
- University Lille Nord de France, 59000 Lille, France
- CNRS UMR8199-IBL-Institut Pasteur de Lille, F-59000 Lille, France
| | - Nicole Soranzo
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, SE1 7EH, UK
| | - Alena Stančáková
- University of Eastern Finland and Kuopio University Hospital, 70210 Kuopio, Finland
| | - Klaus Stark
- Klinik und Poliklinik für Innere Medizin II, Universitätklinikum Regensburg, 93053 Regensburg, Germany
| | - Jonathan C. Stephens
- Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK
- NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK
| | | | - Ronald P. Stolk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Michael Stumvoll
- Department of Medicine, University of Leipzig, 04103 Leipzig, Germany
- University of Leipzig, IFB Adiposity Diseases, Leipzig, Germany
| | - Amy J. Swift
- Genome Technology Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Eirini V. Theodoraki
- Department of Dietetics-Nutrition, Harokopio University, 70 El. Venizelou Str, Athens, Greece
| | - Barbara Thorand
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Elena Tremoli
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università di Milano, Centro Cardiologico Monzino, IRCCS, Milan, Italy
| | - Melanie M. Van der Klauw
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, P.O. Box 30001, 9700 RB Groningen, The Netherlands
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Joyce B.J. van Meurs
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Sita H. Vermeulen
- Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Nijmegen Medical Centre, PO Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Jorma Viikari
- Department of Medicine, University of Turku and Turku University Hospital, 20520 Turku, Finland
| | - Jarmo Virtamo
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Chronic Disease Epidemiology and Prevention Unit, 00271, Helsinki, Finland
| | - Veronique Vitart
- MRC Human Genetics Unit, MRC Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Gérard Waeber
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois (CHUV) University Hospital, 1011 Lausanne, Switzerland
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA
- Core Genotyping Facility, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland 21702, USA
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland
| | - Sarah H. Wild
- Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands
| | | | - Jacqueline C.M. Witteman
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Bruce H.R. Wolffenbuttel
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, P.O. Box 30001, 9700 RB Groningen, The Netherlands
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Andrew Wong
- MRC Unit for Lifelong Health & Ageing, London, UK
| | - Alan F. Wright
- MRC Human Genetics Unit, MRC Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - M. Carola Zillikens
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Philippe Amouyel
- Institut Pasteur de Lille, INSERM U744, Université Lille Nord de France, F-59000 Lille, France
| | - Bernhard O. Boehm
- Division of Endocrinology and Diabetes, Department of Medicine, University Hospital, Ulm, Germany
| | - Eric Boerwinkle
- Human Genetics Center and Institute of Molecular Medicine, University of Texas Health Science Center, Houston, Texas 77030, USA
| | - Dorret I. Boomsma
- Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - Mark J. Caulfield
- Genome Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Daniele Cusi
- University of Milan, Department of Health Sciences, Ospedale San Paolo, 20139 Milano, Italy
- Fondazione Filarete, Milano, Italy
| | - George V. Dedoussis
- Department of Dietetics-Nutrition, Harokopio University, 70 El. Venizelou Str, Athens, Greece
| | - Jeanette Erdmann
- Universität zu Lübeck, Medizinische Klinik II, 23538 Lübeck, Germany
- Deutsches Zentrum für Herz-Kreislaufforschung e. V. (DZHK), Universität zu Lübeck, 23538 Lübeck, Germany
| | - Johan G. Eriksson
- Department of General Practice and Primary health Care, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, 00271 Helsinki, Finland
- Helsinki University Central Hospital, Unit of General Practice, 00280 Helsinki, Finland
| | - Paul W. Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital Malmö, Lund University, Malmö, Sweden
- Department of Public Health & Clinical Medicine, Umeå University, Umeå, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - Philippe Froguel
- University Lille Nord de France, 59000 Lille, France
- CNRS UMR8199-IBL-Institut Pasteur de Lille, F-59000 Lille, France
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, W12 0NN, London, UK
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Uppsala University, Sweden
| | - Anders Hamsten
- Atherosclerosis Research Unit, Department of Medicine, Solna, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Christian Hengstenberg
- Klinik und Poliklinik für Innere Medizin II, Universitätklinikum Regensburg, 93053 Regensburg, Germany
| | - Andrew A. Hicks
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano/Bozen, 39100, Italy - Affiliated Institute of the University of Lübeck, Lübeck, Germany
| | - Aroon Hingorani
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, University of Duisburg-Essen, 45147 Essen, Germany
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Kees G. Hovingh
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands
| | - Kristian Hveem
- HUNT Research Centre, Department of Public Health and General Practice, Norwegian University of Science and Technology, 7600 Levanger, Norway
| | - Thomas Illig
- Research Unit for Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Hannover Unified Biobank, Hannover Medical School, 30625 Hannover, Germany
| | - Marjo-Riitta Jarvelin
- National Institute for Health and Welfare, 90101 Oulu, Finland
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK
- Institute of Health Sciences, University of Oulu, 90014 Oulu, Finland
- Biocenter Oulu, University of Oulu, 90014 Oulu, Finland
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Sirkka M. Keinanen-Kiukaanniemi
- Institute of Health Sciences, University of Oulu, 90014 Oulu, Finland
- Unit of General Practice, Oulu University Hospital, Oulu, Finland
| | - Lambertus A. Kiemeney
- Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands
- Department of Urology, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands
- Comprehensive Cancer Center East, 6501 BG Nijmegen, The Netherlands
| | - Diana Kuh
- MRC Unit for Lifelong Health & Ageing, London, UK
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland, Kuopio Campus and Kuopio University Hospital, 70210 Kuopio, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, University of Tampere and Tampere University Hospital, 33520 Tampere, Finland
| | | | | | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 50410, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Andrew D. Morris
- Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School. Dundee, DD1 9SY
| | - Markku S. Nieminen
- Division of Cardiology, Cardiovascular Laboratory, Helsinki University Central Hospital, 00029 Helsinki, Finland
| | - Inger Njølstad
- Department of Clinical Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
| | - Claes Ohlsson
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden
| | - Albertine J. Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Willem H. Ouwehand
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK
- NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK
| | - Lyle J. Palmer
- Genetic Epidemiology and Biostatistics Platform, Ontario Institute for Cancer Research. Toronto, Canada, M5G 1L7
- Prosserman Centre for Health Research, Samuel Lunenfeld Research Institute, Toronto, Canada, M5G 1X5
| | - Brenda Penninx
- Department of Psychiatry, University Medical Centre Groningen, 9713 GZ Groningen, The Netherlands
| | - Chris Power
- Centre For Paediatric Epidemiolgy and Biostatistics/MRC Centre of Epidemiology for Child Health, University College of London Institute of Child Health, London, UK
| | - Michael A. Province
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington 98101, USA
- Departments of Epidemiology, Medicine and Health Services, University of Washington, Seattle, Washington 98195, USA
- Group Health Research Institute, Group Health, Seattle, Washington 98101, USA
| | - Lu Qi
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Rainer Rauramaa
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Paul M. Ridker
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts 02215, USA
- Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Samuli Ripatti
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland
| | - Veikko Salomaa
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Chronic Disease Epidemiology and Prevention Unit, 00271, Helsinki, Finland
| | - Nilesh J. Samani
- Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, LE3 9QP, UK
- Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Thorkild I.A. Sørensen
- Institute of Preventive Medicine, Bispebjerg University Hospital, Copenhagen, and Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Denmark
| | - Timothy D. Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, SE1 7EH, UK
| | - Kari Stefansson
- deCODE Genetics, 101 Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, 101 Reykjavík, Iceland
| | - Anke Tönjes
- Department of Medicine, University of Leipzig, 04103 Leipzig, Germany
- University of Leipzig, IFB Adiposity Diseases, Leipzig, Germany
| | - Jaakko Tuomilehto
- National Institute for Health and Welfare, Diabetes Prevention Unit, 00271 Helsinki, Finland
- Red RECAVA Grupo RD06/0014/0015, Hospital Universitario La Paz, 28046 Madrid, Spain
- Centre for Vascular Prevention, Danube-University Krems, 3500 Krems, Austria
- South Ostrobothnia Central Hospital, 60220 Seinajoki, Finland
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Finland
- Research Unit, Kuopio University Hospital, Kuopio, Finland
| | - Pim van der Harst
- Department of Genetics, University Medical Center Groningen, University of Groningen, The Netherlands
- Department of Cardiology, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Peter Vollenweider
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois (CHUV) University Hospital, 1011 Lausanne, Switzerland
| | - Henri Wallaschofski
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
| | - Hugh Watkins
- Cardiovascular Medicine, University of Oxford, Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - H.-Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
- Klinikum Grosshadern, Munich, Germany
| | - James F. Wilson
- Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Goncalo R. Abecasis
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Themistocles L. Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Inês Barroso
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- University of Cambridge Metabolic Research Labs, Institute of Metabolic Science Addenbrooke’s Hospital, CB2 OQQ, Cambridge, UK
| | - Michael Boehnke
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Ingrid B. Borecki
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA
| | - Panos Deloukas
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Caroline S. Fox
- Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | - Timothy Frayling
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK
| | - Leif C. Groop
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, 20502 Malmö, Sweden
| | - Talin Haritunian
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
| | - Iris M. Heid
- Public Health and Gender Studies, Institute of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - David Hunter
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York 10461, USA
| | - Fredrik Karpe
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, UK
- Oxford National Institute for Health Research Biomedical Research Centre, Churchill Hospital, Old Road Headington, Oxford, OX3 7LJ, UK
| | - Miriam Moffatt
- National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK
| | - Karen L. Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Jeffrey R. O’Connell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
| | - Yudi Pawitan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Eric E. Schadt
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1498, New York, NY 10029-6574 USA
- Institute of Genomics and Multiscale Biology, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1498, New York, NY 10029-6574 USA
| | - David Schlessinger
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland 21224, USA
| | | | - David P. Strachan
- Division of Population Health Sciences and Education, St George’s, University of London, London, SW17 0RE, UK
| | - Unnur Thorsteinsdottir
- deCODE Genetics, 101 Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, 101 Reykjavík, Iceland
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
- Center of Medical Systems Biology, Leiden University Medical Center, 2333 ZC Leiden, the Netherlands
| | - Peter M. Visscher
- The Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
- University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australia
| | | | - Joel N. Hirschhorn
- Divisions of Genetics and Endocrinology and Center for Basic and Translational Obesity Research, Children’s Hospital, Boston, Massachusetts 02115, USA
- Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Cecilia M. Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Andrew P. Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - David Meyre
- University Lille Nord de France, 59000 Lille, France
- CNRS UMR8199-IBL-Institut Pasteur de Lille, F-59000 Lille, France
- Department of Clinical Epidemiology and Biostatistics, McMasterUniversity, Hamilton, Ontario L8S 4L8, Canada
| | - André Scherag
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Mark I. McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, UK
- Oxford National Institute for Health Research Biomedical Research Centre, Churchill Hospital, Old Road Headington, Oxford, OX3 7LJ, UK
| | - Elizabeth K. Speliotes
- Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
- Department of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, Michigan, USA
| | - Kari E. North
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514, USA
| | - Ruth J.F. Loos
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
- The Charles Bronfman Institute of Personalized Medicine, Mount Sinai School of Medicine, New York, NY 10029, USA
- The Mindich Child Health and Development Institute, Mount Sinai School of Medicine, New York, NY 10029, USA
- Department of Preventive Medicine, Mount Sinai School of Medicine, New York, NY 10029, USA
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
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Algeri P, Ornaghi S, Bernasconi D, Cappellini F, Signorini S, Brambilla P, Urban G, Vergani P. 649: PTX3, sFlt-1 and PlGF levels in mothers and their own newborn. Am J Obstet Gynecol 2013. [DOI: 10.1016/j.ajog.2012.10.815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Gianazza E, Chinello C, Mainini V, Cazzaniga M, Squeo V, Albo G, Signorini S, Di Pierro SS, Ferrero S, Nicolardi S, van der Burgt YE, Deelder AM, Magni F. Alterations of the serum peptidome in renal cell carcinoma discriminating benign and malignant kidney tumors. J Proteomics 2012; 76 Spec No.:125-40. [DOI: 10.1016/j.jprot.2012.07.032] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2012] [Revised: 07/16/2012] [Accepted: 07/19/2012] [Indexed: 01/21/2023]
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Cifola I, Bianchi C, Mangano E, Bombelli S, Frascati F, Fasoli E, Ferrero S, Di Stefano V, Zipeto MA, Magni F, Signorini S, Battaglia C, Perego RA. Renal cell carcinoma primary cultures maintain genomic and phenotypic profile of parental tumor tissues. BMC Cancer 2011; 11:244. [PMID: 21668985 PMCID: PMC3141767 DOI: 10.1186/1471-2407-11-244] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2010] [Accepted: 06/13/2011] [Indexed: 12/16/2022] Open
Abstract
Background Clear cell renal cell carcinoma (ccRCC) is characterized by recurrent copy number alterations (CNAs) and loss of heterozygosity (LOH), which may have potential diagnostic and prognostic applications. Here, we explored whether ccRCC primary cultures, established from surgical tumor specimens, maintain the DNA profile of parental tumor tissues allowing a more confident CNAs and LOH discrimination with respect to the original tissues. Methods We established a collection of 9 phenotypically well-characterized ccRCC primary cell cultures. Using the Affymetrix SNP array technology, we performed the genome-wide copy number (CN) profiling of both cultures and corresponding tumor tissues. Global concordance for each culture/tissue pair was assayed evaluating the correlations between whole-genome CN profiles and SNP allelic calls. CN analysis was performed using the two CNAG v3.0 and Partek software, and comparing results returned by two different algorithms (Hidden Markov Model and Genomic Segmentation). Results A very good overlap between the CNAs of each culture and corresponding tissue was observed. The finding, reinforced by high whole-genome CN correlations and SNP call concordances, provided evidence that each culture was derived from its corresponding tissue and maintained the genomic alterations of parental tumor. In addition, primary culture DNA profile remained stable for at least 3 weeks, till to third passage. These cultures showed a greater cell homogeneity and enrichment in tumor component than original tissues, thus enabling a better discrimination of CNAs and LOH. Especially for hemizygous deletions, primary cultures presented more evident CN losses, typically accompanied by LOH; differently, in original tissues the intensity of these deletions was weaken by normal cell contamination and LOH calls were missed. Conclusions ccRCC primary cultures are a reliable in vitro model, well-reproducing original tumor genetics and phenotype, potentially useful for future functional approaches aimed to study genes or pathways involved in ccRCC etiopathogenesis and to identify novel clinical markers or therapeutic targets. Moreover, SNP array technology proved to be a powerful tool to better define the cell composition and homogeneity of RCC primary cultures.
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Affiliation(s)
- Ingrid Cifola
- Institute for Biomedical Technologies (ITB), National Research Council (CNR), via Fratelli Cervi 93, 20090 Segrate, Milan, Italy
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Abstract
OBJECTIVE To investigate the association of normal fasting plasma glucose (FPG) and the risk for type 2 diabetes. RESEARCH DESIGN AND METHODS Data concerning 13,845 subjects, aged 40-69 years, who had their FPG measured at least three times between 1992 and 2008 were extracted from a database. Three FPG groups were defined (51-82, 83-90, and 91-99 mg/dL). A Cox proportional hazards analysis was applied to estimate the risk of incident diabetes adjusted for other risk factors. RESULTS During 108,061 person-years of follow-up (8,110 women and 5,735 men), 307 incident cases of type 2 diabetes were found. The final model demonstrated a hazard ratio of 2.03 (95% CI 1.18-3.50) for 91-99 mg/dL and 1.42 (0.42-4.74) for 83-90 mg/dL. CONCLUSIONS Our data suggest that FPG between 91 and 99 mg/dL is a strong independent predictor of type 2 diabetes and should be used to identify people to be further investigated and aided with preventive measures.
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Affiliation(s)
- Paolo Brambilla
- University Department of Laboratory Medicine, University Milano Bicocca, Hospital of Desio, Milano, Italy.
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Mocarelli P, Gerthoux PM, Needham LL, Patterson DG, Limonta G, Falbo R, Signorini S, Bertona M, Crespi C, Sarto C, Scott PK, Turner WE, Brambilla P. Perinatal exposure to low doses of dioxin can permanently impair human semen quality. Environ Health Perspect 2011; 119:713-8. [PMID: 21262597 PMCID: PMC3094426 DOI: 10.1289/ehp.1002134] [Citation(s) in RCA: 109] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2010] [Accepted: 12/13/2010] [Indexed: 05/18/2023]
Abstract
BACKGROUND In recent decades, young men in some industrialized areas have reportedly experienced a decrease in semen quality. OBJECTIVE We examined effects of perinatal dioxin exposure on sperm quality and reproductive hormones. METHODS We investigated sperm quality and hormone concentrations in 39 sons (mean age, 22.5 years) born between 1977 and 1984 to mothers exposed to dioxin after the accident in Seveso, Italy (1976), and 58 comparisons (mean age, 24.6 years) born to mothers exposed only to background dioxin. Maternal dioxin levels at conception were extrapolated from the concentrations measured in 1976 serum samples. RESULTS The 21 breast-fed sons whose exposed mothers had a median serum dioxin concentration as low as 19 ppt at conception had lower sperm concentration (36.3 vs. 86.3 million/mL; p = 0.002), total count (116.9 vs. 231.1; p = 0.02), progressive motility (35.8 vs. 44.2%; p = 0.03), and total motile count (38.7 vs. 98 million; p = 0.01) than did the 36 breast-fed comparisons. The 18 formula-fed exposed and the 22 formula-fed and 36 breast-fed comparisons (maternal dioxin background 10 ppt at conception) had no sperm-related differences. Follicle-stimulating hormone was higher in the breast-fed exposed group than in the breast-fed comparisons (4.1 vs. 2.63 IU/L; p = 0.03) or the formula-fed exposed (4.1 vs. 2.6 IU/L; p = 0.04), and inhibin B was lower (breast-fed exposed group, 70.2; breast-fed comparisons, 101.8 pg/mL, p = 0.01; formula-fed exposed, 99.9 pg/mL, p = 0.02). CONCLUSIONS In utero and lactational exposure of children to relatively low dioxin doses can permanently reduce sperm quality.
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Affiliation(s)
- Paolo Mocarelli
- University Department of Laboratory Medicine, Hospital of Desio, Monza Brianza, Italy.
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D'Ovidio MC, Martini A, Melis P, Signorini S. [Value of the microarray for the study of Laboratory Animal Allergy (LAA)]. G Ital Med Lav Ergon 2011; 33:109-116. [PMID: 21796918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Since 1989, the National Institute for Occupational Safety and Health (NIOSH) considers the Laboratory Animal Allergy - LAA a risk for workers and in 1998 the LAA has been recognized as occupational risk in the USA. Rat and mouse are the most source of allergens, not so much for the higher power of allergy respect to the other animals, but because represent the more utilized species in the research. Most of the allergens are members of the lipocalin superfamily, small extracellular proteins represented by at least 50 proteins that mainly bind or carry small hydrophobic molecules. The recent and innovative molecular techniques, as the microarray, have allow the characterization of numerous allergens. The protein microarray gives the possibility to study of IgE profile for each individual, simultaneos analysis of a wide number of parameters concerning the allergy, giving new diagnostic and therapeutic opportunities for the allergies. In the study of occupational allergy--as LAA--the protein microarray could improve: the identification and characterization of new allergens; the individuation of susceptible workers; the study of immunological responses in exposed workers; the strategies of prevention and protection; the environmental and housing conditions. The participation, formation and information of the workers could improve the behavioural and occupational practices, the use of personal and collective protective devices in order to reduce the exposure to LAA in occupational context.
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Padmanabhan S, Melander O, Johnson T, Di Blasio AM, Lee WK, Gentilini D, Hastie CE, Menni C, Monti MC, Delles C, Laing S, Corso B, Navis G, Kwakernaak AJ, van der Harst P, Bochud M, Maillard M, Burnier M, Hedner T, Kjeldsen S, Wahlstrand B, Sjögren M, Fava C, Montagnana M, Danese E, Torffvit O, Hedblad B, Snieder H, Connell JMC, Brown M, Samani NJ, Farrall M, Cesana G, Mancia G, Signorini S, Grassi G, Eyheramendy S, Wichmann HE, Laan M, Strachan DP, Sever P, Shields DC, Stanton A, Vollenweider P, Teumer A, Völzke H, Rettig R, Newton-Cheh C, Arora P, Zhang F, Soranzo N, Spector TD, Lucas G, Kathiresan S, Siscovick DS, Luan J, Loos RJF, Wareham NJ, Penninx BW, Nolte IM, McBride M, Miller WH, Nicklin SA, Baker AH, Graham D, McDonald RA, Pell JP, Sattar N, Welsh P, Munroe P, Caulfield MJ, Zanchetti A, Dominiczak AF. Genome-wide association study of blood pressure extremes identifies variant near UMOD associated with hypertension. PLoS Genet 2010; 6:e1001177. [PMID: 21082022 PMCID: PMC2965757 DOI: 10.1371/journal.pgen.1001177] [Citation(s) in RCA: 258] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2010] [Accepted: 09/23/2010] [Indexed: 12/19/2022] Open
Abstract
Hypertension is a heritable and major contributor to the global burden of disease. The sum of rare and common genetic variants robustly identified so far explain only 1%–2% of the population variation in BP and hypertension. This suggests the existence of more undiscovered common variants. We conducted a genome-wide association study in 1,621 hypertensive cases and 1,699 controls and follow-up validation analyses in 19,845 cases and 16,541 controls using an extreme case-control design. We identified a locus on chromosome 16 in the 5′ region of Uromodulin (UMOD; rs13333226, combined P value of 3.6×10−11). The minor G allele is associated with a lower risk of hypertension (OR [95%CI]: 0.87 [0.84–0.91]), reduced urinary uromodulin excretion, better renal function; and each copy of the G allele is associated with a 7.7% reduction in risk of CVD events after adjusting for age, sex, BMI, and smoking status (H.R. = 0.923, 95% CI 0.860–0.991; p = 0.027). In a subset of 13,446 individuals with estimated glomerular filtration rate (eGFR) measurements, we show that rs13333226 is independently associated with hypertension (unadjusted for eGFR: 0.89 [0.83–0.96], p = 0.004; after eGFR adjustment: 0.89 [0.83–0.96], p = 0.003). In clinical functional studies, we also consistently show the minor G allele is associated with lower urinary uromodulin excretion. The exclusive expression of uromodulin in the thick portion of the ascending limb of Henle suggests a putative role of this variant in hypertension through an effect on sodium homeostasis. The newly discovered UMOD locus for hypertension has the potential to give new insights into the role of uromodulin in BP regulation and to identify novel drugable targets for reducing cardiovascular risk. Hypertension is the leading contributor to global mortality with a global prevalence of 26.4% in 2000, projected to increase to 29.2% by 2025. While 50%–60% of population variation in blood pressure can be attributable to additive genetic factors, all the genetic variants robustly identified so far explain only 1%–2% of the population variance indicating the presence of additional undiscovered risk variants. Using an extreme case-control strategy, we have discovered a SNP in the promoter region of the uromodulin gene (UMOD) to be associated with hypertension (minor allele protective against hypertension). We then validated this association using large-scale population and case-control studies, where similar extreme criteria for selection of cases and controls have been used (21,466 cases and 18,240 controls). As the locus was related to uromodulin, a protein exclusively expressed in the kidneys, we show that the association is independent of renal dysfunction. We also show preliminary evidence that the SNP allele which is protective against hypertension is also protective against cardiovascular events in 26,654 Swedish subjects followed-up for 12 years. The newly discovered UMOD locus for hypertension has the potential to give unique insights into the role of uromodulin in BP regulation and to identify novel drugable targets.
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Affiliation(s)
- Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Olle Melander
- Department of Clinical Sciences, Hypertension and Cardiovascular Diseases, University Hospital Malmö, Lund University, Malmö, Sweden
| | - Toby Johnson
- Clinical Pharmacology and Barts and the London Genome Centre, William Harvey Research Institute, Barts and the London School of Medicine, Queen Mary University of London, London, United Kingdom
| | | | - Wai K. Lee
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | | | - Claire E. Hastie
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Cristina Menni
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
- Università Milano-Bicocca, Dipartimento di Medicina Clinica e Prevenzione, Ospedale San Gerardo, Monza, Milano, Italy
| | - Maria Cristina Monti
- Istituto Auxologico Italiano, Milan, Italy
- Department of Health Science, University of Pavia, Pavia, Italy
| | - Christian Delles
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Stewart Laing
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Barbara Corso
- Istituto Auxologico Italiano, Milan, Italy
- Department of Health Science, University of Pavia, Pavia, Italy
| | - Gerjan Navis
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Arjan J. Kwakernaak
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Murielle Bochud
- University Institute of Social and Preventive Medicine, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Marc Maillard
- Service of Nephrology, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Michel Burnier
- Service of Nephrology, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Thomas Hedner
- Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Sverre Kjeldsen
- Department of Cardiology, University of Oslo, Ullevaal Hospital, Oslo, Norway
| | - Björn Wahlstrand
- Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Marketa Sjögren
- Department of Clinical Sciences, Hypertension and Cardiovascular Diseases, University Hospital Malmö, Lund University, Malmö, Sweden
| | - Cristiano Fava
- Department of Clinical Sciences, Hypertension and Cardiovascular Diseases, University Hospital Malmö, Lund University, Malmö, Sweden
- Department of Medicine, Section of Internal Medicine C, University of Verona, Verona, Italy
| | - Martina Montagnana
- Department of Clinical Sciences, Hypertension and Cardiovascular Diseases, University Hospital Malmö, Lund University, Malmö, Sweden
- Department of Life and Reproduction Sciences, Section of Clinical Chemistry, University of Verona, Verona, Italy
| | - Elisa Danese
- Department of Clinical Sciences, Hypertension and Cardiovascular Diseases, University Hospital Malmö, Lund University, Malmö, Sweden
- Department of Life and Reproduction Sciences, Section of Clinical Chemistry, University of Verona, Verona, Italy
| | - Ole Torffvit
- Department of Nephrology, Institution of Clinical Sciences, University Hospital of Lund, Lund, Sweden
| | - Bo Hedblad
- Department of Clinical Sciences, Hypertension and Cardiovascular Diseases, University Hospital Malmö, Lund University, Malmö, Sweden
| | - Harold Snieder
- Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - John M. C. Connell
- College of Medicine, Dentistry and Nursing, Ninewells Hospital, University of Dundee, Dundee, United Kingdom
| | - Morris Brown
- Clinical Pharmacology Unit, University of Cambridge, Addenbrookes Hospital, Cambridge, United Kingdom
| | - Nilesh J. Samani
- Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, United Kingdom
| | - Martin Farrall
- Department of Cardiovascular Medicine, Wellcome Trust Centre for Human Genetics, Oxford, United Kingdom
| | - Giancarlo Cesana
- Università Milano-Bicocca, Dipartimento di Medicina Clinica e Prevenzione, Ospedale San Gerardo, Monza, Milano, Italy
| | - Giuseppe Mancia
- Università Milano-Bicocca, Dipartimento di Medicina Clinica e Prevenzione, Ospedale San Gerardo, Monza, Milano, Italy
| | | | - Guido Grassi
- Università Milano-Bicocca, Dipartimento di Medicina Clinica e Prevenzione, Ospedale San Gerardo, Monza, Milano, Italy
| | - Susana Eyheramendy
- Department of Statistics, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - H. Erich Wichmann
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
| | - Maris Laan
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - David P. Strachan
- Division of Community Health Sciences, St George's, University of London, London, United Kingdom
| | - Peter Sever
- International Centre for Circulatory Health National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Denis Colm Shields
- Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
| | - Alice Stanton
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Peter Vollenweider
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - Rainer Rettig
- Institute of Physiology, University of Greifswald, Greifswald, Germany
| | - Christopher Newton-Cheh
- Center for Human Genetic Research and Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
| | - Pankaj Arora
- Center for Human Genetic Research and Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
| | - Feng Zhang
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Nicole Soranzo
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
- Wellcome Trust Sanger Institute, Genome Campus, Hinxton, United Kingdom
| | - Timothy D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Gavin Lucas
- Cardiovascular Epidemiology and Genetics Group, Institut Municipal d'Investigacio Medica, Barcelona, Spain
| | - Sekar Kathiresan
- Center for Human Genetic Research and Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
| | - David S. Siscovick
- Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, United Kingdom
| | - Ruth J. F. Loos
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, United Kingdom
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, United Kingdom
| | - Brenda W. Penninx
- Department of Psychiatry/EMGO Institute, Neuroscience Campus, VU University Medical Center, Amsterdam, The Netherlands
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ilja M. Nolte
- Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Martin McBride
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - William H. Miller
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Stuart A. Nicklin
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Andrew H. Baker
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Delyth Graham
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Robert A. McDonald
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Jill P. Pell
- Public Health and Health Policy Section, University of Glasgow, Glasgo, United Kingdom
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Paul Welsh
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | | | - Patricia Munroe
- Clinical Pharmacology and Barts and the London Genome Centre, William Harvey Research Institute, Barts and the London School of Medicine, Queen Mary University of London, London, United Kingdom
| | - Mark J. Caulfield
- Clinical Pharmacology and Barts and the London Genome Centre, William Harvey Research Institute, Barts and the London School of Medicine, Queen Mary University of London, London, United Kingdom
| | - Alberto Zanchetti
- Istituto Auxologico Italiano, Milan, Italy
- University of Milano, Milano, Italy
| | - Anna F. Dominiczak
- Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
- * E-mail:
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Chiodini BD, Specchia C, Gori F, Barlera S, D'Orazio A, Pietri S, Crociati L, Nicolucci A, Franciosi M, Signorini S, Brambilla P, Grazia Franzosi M. Adiponectin gene polymorphisms and their effect on the risk of myocardial infarction and type 2 diabetes: an association study in an Italian population. Ther Adv Cardiovasc Dis 2010; 4:223-30. [PMID: 20576642 DOI: 10.1177/1753944710371483] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE While many studies have shown an association between the gene coding for adiponectin (ADIPOQ) and adiponectin levels, much more controversy surrounds its association with metabolic traits such as insulin resistance, obesity and type 2 diabetes. Furthermore, very few studies have looked into the relations between ADIPOQ variants and risk of cardiovascular disease. The present study assessed the influence of four common ADIPOQ Single Nucleotide Polymorphisms (SNPs), rs17300539 (-11391G→A), rs266729 (-11377C→G), rs2241766 (+45T→G) and rs1501299 (+276G→T) on the risk of myocardial infarction and type 2 diabetes. METHODS and RESULTS A large genetic association case-control study was conducted in 2008 Italians, including patients with myocardial infarction, type 2 diabetes, or both, and a reference group of healthy controls. Homozygotes TT for the rs1501299 (+276) had half the risk of either myocardial infarction alone or in association with type 2 diabetes when compared to the carriers of the G allele (OR = 0.58, p =0.01, and OR = 0.55, p =0.006 respectively). SNPs rs17300539 (-11391), rs266729 (-11377) and rs2241766 (+45) showed no significant association with any of the three case groups. CONCLUSIONS These results suggest that homozygotes TT for the adiponectin polymorphism rs1501299 (+276) are protected from the risk of myocardial infarction.
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Affiliation(s)
- Benedetta D Chiodini
- Division of Genetics and Molecular Medicine, King's College London, London, UK, Department of Cardiovascular Research, Mario Negri Institute for Pharmacological Research, Milano, Italy
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Gori F, Specchia C, Pietri S, Crociati L, Barlera S, Franciosi M, Nicolucci A, Signorini S, Brambilla P, Franzosi MG. Common genetic variants on chromosome 9p21 are associated with myocardial infarction and type 2 diabetes in an Italian population. BMC Med Genet 2010; 11:60. [PMID: 20403154 PMCID: PMC2871267 DOI: 10.1186/1471-2350-11-60] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2009] [Accepted: 04/19/2010] [Indexed: 12/20/2022]
Abstract
Background A genomic region on chromosome 9p21 has been identified as closely associated with increased susceptibility to coronary artery disease (CAD) and to type 2 diabetes (T2D) although the evidence suggests that the genetic variants within chromosome 9p21 that contribute to CAD are different from those that contribute to T2D. We carried out an association case-control study in an Italian population to test the association between two single nucleotide polymorphisms (SNPs) on the 9p21 locus, rs2891168 and rs10811661, previously reported by the PROCARDIS study, and respectively myocardial infarction (MI) and T2D. Our aim was to confirm the previous findings on a larger sample and to verify the independence of their susceptibility effects: rs2891168 associated with MI but not with T2D and rs10811661 associated with T2D but not with MI. Methods Genomic DNA samples of 2407 Italians with T2D (602 patients), who had had a recent MI (600), or had both diseases (600) and healthy controls (605) were genotyped for the two SNPs. The genotypes were determined by allelic discrimination using a fluorescent-based TaqMan assay. Results SNP rs2891168 was associated with MI, but not with T2D and the G-allele odds ratio (OR) was 1.20 (95% CI 1.02-1.41); SNP rs10811661 was associated with T2D, but not with MI, and the T-allele OR was 1.27 (95% CI 1.04-1.55). ORs estimates from the present study and the PROCARDIS study were pooled and confirmed the previous findings, with greater precision. Conclusions Our replication study showed that rs2891168 and rs10811661 are independently associated respectively with MI and T2D in an Italian population. Pooling our results with those reported by the PROCARDIS group, we also obtained a significant result of association with diabetes for rs10811661 in the European population.
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Affiliation(s)
- Francesca Gori
- Department of Cardiovascular Research, Mario Negri Institute for Pharmacological Research, Milano, Italy.
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Turci R, Businaro J, Minoia C, Sturchio E, Ficociello B, Signorini S, Colosio C, Imbriani M. [Insecticides: DDT, DDE, DDD]. G Ital Med Lav Ergon 2010; 32:93-144. [PMID: 20684433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Affiliation(s)
- R Turci
- Laboratorio di Misure Ambientali e Tossicologiche, "Fondazione Salvatore Maugeri", IRCCS, Pavia
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Ficociello B, Sturchio E, Minoia C, Casorri L, Imbriani P, Signorini S. [Epigenetics and environmental exposure to xenobiotics]. G Ital Med Lav Ergon 2010; 32:13-22. [PMID: 20464973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
Environmental pollution, together with predisposing genetic factors, plays a key role in determining short and long-term adverse effects on human health. In the industrialized countries the identification of etiology related to diseases of environmental origin has then become a research of priority interest. With regard to this, it has been widely demonstrated that different chemical compounds, such as endocrine disruptors, are able to modify the epigenetic characteristics of a human being. According to recent studies, the paradigm "genotype is strongly correlated with a phenotype" is changing in favor of the concept that a phenotype is defined by a "genotype and by an epigenome". Thus, there is a genotype identical for all cells associated to the epigenome that causes changes in gene expression without modifying the nucleotide sequence of the genome, through alterations in DNA methylation, histone modifications and the pathway of small non-coding RNAs. The epigenome is easily affected by different factors, such as aberrations of normal epigenetic processes that can be caused by environmental factors as exposure to xenobiotics, social behavior and nutritional deficiencies. Epigenetic changes are thus a biological response to environmental stress factors and may be transmitted to the offspring. As the elimination of the environmental factor determines the possible reversion of epigenetic modifications, it seems not to play a role in the natural selection process. However, epigenetic aberrations affect gene expression by interfering with the stability and survival of cells and with the inactivation of onco-suppressor genes. Thus, it is of considerable interest to investigate about the possible elements of induction of epigenetic processes in order to implement prevention protocols. Moreover, the gene expression screening through high through-put techniques like microarray, represent a new tool for the identification of new epigenetic indicators in order to monitor the early biological effects on the population exposed to xenobiotics.
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Affiliation(s)
- B Ficociello
- Istituto Superiore per la Prevenzione e la Sicurezza sul Lavoro, Dipartimento Installazioni di Produzione e Insediamenti Antropici, Roma, Italy
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Travaglini L, Brancati F, Attie-Bitach T, Audollent S, Bertini E, Kaplan J, Perrault I, Iannicelli M, Mancuso B, Rigoli L, Rozet JM, Swistun D, Tolentino J, Dallapiccola B, Gleeson JG, Valente EM, Zankl A, Leventer R, Grattan-Smith P, Janecke A, D'Hooghe M, Sznajer Y, Van Coster R, Demerleir L, Dias K, Moco C, Moreira A, Kim CA, Maegawa G, Petkovic D, Abdel-Salam GMH, Abdel-Aleem A, Zaki MS, Marti I, Quijano-Roy S, Sigaudy S, de Lonlay P, Romano S, Touraine R, Koenig M, Lagier-Tourenne C, Messer J, Collignon P, Wolf N, Philippi H, Kitsiou Tzeli S, Halldorsson S, Johannsdottir J, Ludvigsson P, Phadke SR, Udani V, Stuart B, Magee A, Lev D, Michelson M, Ben-Zeev B, Fischetto R, Benedicenti F, Stanzial F, Borgatti R, Accorsi P, Battaglia S, Fazzi E, Giordano L, Pinelli L, Boccone L, Bigoni S, Ferlini A, Donati MA, Caridi G, Divizia MT, Faravelli F, Ghiggeri G, Pessagno A, Briguglio M, Briuglia S, Salpietro CD, Tortorella G, Adami A, Castorina P, Lalatta F, Marra G, Riva D, Scelsa B, Spaccini L, Uziel G, Del Giudice E, Laverda AM, Ludwig K, Permunian A, Suppiej A, Signorini S, Uggetti C, Battini R, Di Giacomo M, Cilio MR, Di Sabato ML, Leuzzi V, Parisi P, Pollazzon M, Silengo M, De Vescovi R, Greco D, Romano C, Cazzagon M, Simonati A, Al-Tawari AA, Bastaki L, Mégarbané A, Sabolic Avramovska V, de Jong MM, Stromme P, Koul R, Rajab A, Azam M, Barbot C, Martorell Sampol L, Rodriguez B, Pascual-Castroviejo I, Teber S, Anlar B, Comu S, Karaca E, Kayserili H, Yüksel A, Akcakus M, Al Gazali L, Sztriha L, Nicholl D, Woods CG, Bennett C, Hurst J, Sheridan E, Barnicoat A, Hennekam R, Lees M, Blair E, Bernes S, Sanchez H, Clark AE, DeMarco E, Donahue C, Sherr E, Hahn J, Sanger TD, Gallager TE, Dobyns WB, Daugherty C, Krishnamoorthy KS, Sarco D, Walsh CA, McKanna T, Milisa J, Chung WK, De Vivo DC, Raynes H, Schubert R, Seward A, Brooks DG, Goldstein A, Caldwell J, Finsecke E, Maria BL, Holden K, Cruse RP, Swoboda KJ, Viskochil D. Expanding CEP290 mutational spectrum in ciliopathies. Am J Med Genet A 2009; 149A:2173-80. [PMID: 19764032 DOI: 10.1002/ajmg.a.33025] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Ciliopathies are an expanding group of rare conditions characterized by multiorgan involvement, that are caused by mutations in genes encoding for proteins of the primary cilium or its apparatus. Among these genes, CEP290 bears an intriguing allelic spectrum, being commonly mutated in Joubert syndrome and related disorders (JSRD), Meckel syndrome (MKS), Senior-Loken syndrome and isolated Leber congenital amaurosis (LCA). Although these conditions are recessively inherited, in a subset of patients only one CEP290 mutation could be detected. To assess whether genomic rearrangements involving the CEP290 gene could represent a possible mutational mechanism in these cases, exon dosage analysis on genomic DNA was performed in two groups of CEP290 heterozygous patients, including five JSRD/MKS cases and four LCA, respectively. In one JSRD patient, we identified a large heterozygous deletion encompassing CEP290 C-terminus that resulted in marked reduction of mRNA expression. No copy number alterations were identified in the remaining probands. The present work expands the CEP290 genotypic spectrum to include multiexon deletions. Although this mechanism does not appear to be frequent, screening for genomic rearrangements should be considered in patients in whom a single CEP290 mutated allele was identified.
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Affiliation(s)
- Lorena Travaglini
- CSS-Mendel Institute, Casa Sollievo della Sofferenza Hospital, Rome, Italy
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Turci R, Minoia C, Leoni E, Sturchio E, Boccia P, Meconi C, Zanellato M, Signorini S, Mantovani A, La Rocca C, Bianchi F, Imbriani M. [PCDD: polychlorodibenzo-4-dioxin]. G Ital Med Lav Ergon 2009; 31:325-370. [PMID: 20225642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Affiliation(s)
- R Turci
- Laboratorio di Misure Ambientali e Tossicologiche, Fondazione Salvatore Maugeri, IRCCS, Pavia
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D'Ovidio MC, Vonesch N, Signorini S, Tomao P, Sbardella D, Iavicoli S. [Contribution of ISPESL (National Institute for Occupational Safety and Prevention) for protecting workers from exposure to avian influenza]. G Ital Med Lav Ergon 2009; 31:133-148. [PMID: 19827273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Influenza virus A/H5N1 occurs mainly in birds, in which is highly contagious and deadly, and does not usually infect people. Most of the cases occurred in humans resulted from people having direct or close contact with H5N1 infected poultry or contaminated surfaces. The circulation of influenza viruses in birds, humans and other hosts represents a public and animal health threat, with important economic consequences. Controlling avian influenza in poultry, in particular with biosecurity measures, is the primary method to reduce human risk from infection. Enhanced surveillance both in poultry and in wild birds proved effective for the early detection of the infection. Worldwide most countries developed strategic plans, guidelines and recommendations for effective disease prevention and control. Moreover documents were specifically prepared to keep specific categories of workers adequately informed on how to avoid or minimize exposure to the viruses. In accordance with the Italian Decree 626/94, recently amended by the Decree 81/08, regarding the protection of workers from risks related to exposure to biological agents at work, the Department of Occupational Medicine of ISPESL prepared one booklet directed to people working with poultry and, together with Corpo Nazionale Vigili del Fuoco, two booklets addressed to fire brigade who could be at various levels involved in outbreak disease control and eradication activities. In fact information and training are essential aspects of a global preventive and protective strategy.
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Affiliation(s)
- M C D'Ovidio
- Dipartimento Medicina del Lavoro, Istituto Superiore per la Prevenzione e la Sicurezza del Lavoro (ISPESL) Centro Ricerche Monte Porzio Catone, Via Fontana Candida 1, 00040 Monte Porzio Catone, Roma, Italy.
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Sturchio E, Minoia C, Zanellato M, Masotti A, Leoni E, Sottani C, Biamonti G, Ronchi A, Casorri L, Signorini S, Imbriani M. [Endocrine disruptors -- Monograph. 3. Arsenic]. G Ital Med Lav Ergon 2009; 31:5-32. [PMID: 19558036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Affiliation(s)
- E Sturchio
- Istituto Superiore per la Prevenzione e la Sicurezza sul Lavoro, Dipartimento Installazioni di Produzione e Insediamenti Antropici, Roma
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Minoia C, Leoni E, Sottani C, Biamonti G, Signorini S, Imbriani M. [Perfluorooctane sulfonic acid and perfluorooctanoic acid]. G Ital Med Lav Ergon 2008; 30:309-323. [PMID: 19344082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Affiliation(s)
- C Minoia
- Laboratorio di Misure Ambientali e Tossicologiche, Fondazione Salvatore Maugeri, Pavia
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48
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Doni A, Mantovani G, Porta C, Tuckermann J, Reichardt HM, Kleiman A, Sironi M, Rubino L, Pasqualini F, Nebuloni M, Signorini S, Peri G, Sica A, Beck-Peccoz P, Bottazzi B, Mantovani A. Cell-specific regulation of PTX3 by glucocorticoid hormones in hematopoietic and nonhematopoietic cells. J Biol Chem 2008; 283:29983-92. [PMID: 18703503 DOI: 10.1074/jbc.m805631200] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
PTX3 (prototypic long pentraxin 3) is a fluid phase pattern recognition receptor, which plays nonredundant roles in the resistance against diverse pathogens, in the assembly of a hyaluronic acid-rich extracellular matrix, and in female fertility. Inflammatory signals induce production of PTX3 in diverse cell types, including myeloid dendritic cells (DC), fibroblasts, and endothelial cells (EC). The present study was designed to explore the effect of glucocorticoid hormones (GC) on PTX3 production in different cellular contexts. In myeloid DC, GC inhibited the PTX3 production. In contrast, in fibroblasts and EC, GC alone induced and, under inflammatory conditions, enhanced and extended PTX3 production. In vivo administration of GC augmented the blood levels of PTX3 in mice and humans. Moreover, patients with Cushing syndrome had increased levels of circulating PTX3, whereas PTX3 levels were decreased in subjects affected by iatrogenic hypocortisolism. In nonhematopoietic cells, GC receptor (GR) functioned as a ligand-dependent transcription factor (dimerization-dependent) to induce PTX3 gene expression. In contrast, in hematopoietic cells, GR repressed PTX3 gene transcription by interfering (dimerization-independent) with the action of other signaling pathways, probably NFkappaB and AP-1. Thus, divergent effects of GC were found to be due to different GR mechanisms. The results presented here indicate that GC have divergent effects on PTX3 production in hematopoietic (DC and macrophages) and nonhematopoietic (fibroblasts and EC) cells. The divergent effects of GC on PTX3 production probably reflect the different functions of this multifunctional molecule in innate immunity and in the construction of the extracellular matrix.
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Affiliation(s)
- Andrea Doni
- Istituto Clinico Humanitas, Istituto Di Ricerca Cura a Caratte Re Scientifico, Department of Immunology and Inflammation, Rozzano, Milan, Italy.
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Minoia C, Leoni E, Turci R, Signorini S, Moccaldi A, Imbriani M. [Bisphenol A]. G Ital Med Lav Ergon 2008; 30:214-224. [PMID: 19069219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Affiliation(s)
- C Minoia
- Fondazione Salvatore Maugeri, Laboratorio di Misure Ambientali e Tossicologiche, Pavia
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50
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Perego RA, Corizzato M, Brambilla P, Ferrero S, Bianchi C, Fasoli E, Signorini S, Torsello B, Invernizzi L, Bombelli S, Angeloni V, Pitto M, Battaglia C, Proserpio V, Magni F, Galasso G, Mocarelli P. Concentration and microsatellite status of plasma DNA for monitoring patients with renal carcinoma. Eur J Cancer 2008; 44:1039-47. [DOI: 10.1016/j.ejca.2008.03.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2008] [Revised: 03/10/2008] [Accepted: 03/11/2008] [Indexed: 10/22/2022]
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