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263 results on '"Kyrtopoulos, S. A."'

6. Prenatal exposure to multiple persistent organic pollutants and childhood BMI trajectories- a comparison of three different methods for exposure mixture analysis in a mixed model framework

Author

Colicino, E., primary, Margetaki, K., additional, Stratakis, N., additional, Vafeiadi, M., additional, Roumeliotaki, T., additional, Kyrtopoulos, S., additional, Kiviranta, H., additional, Stephanou, E., additional, Kogevinas, M., additional, McConnell, R., additional, Berhane, K., additional, Chatzi, L., additional, and Conti, D., additional

Published
2020
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8. Pre-diagnostic blood immune markers, incidence and progression of B-cell lymphoma and multiple myeloma; univariate and functionally-informed multivariate analyses

Author

Vermeulen, R, Saberi Hosnijeh, F, Bodinier, B, Portengen, L, Liquet, B, Garrido Manriquez, J, Lokhorst, H, Bergdahl, I, Kyrtopoulos, S, Johansson, A-S, Georgiadis, P, Melin, B, Palli, D, Krogh, V, Panico, S, Sacerdote, C, Tumino, R, Vineis, P, Castagne, RS, Chadeau, M, and Cancer Research UK

Subjects
mixed-effect modeling, Science & Technology, BONE-MARROW, prospective cohort, FACTOR-ALPHA, lymphoma, multivariate models, SERUM-LEVELS, time to diagnosis, OVARIAN-CANCER, TRANSFORMING-GROWTH-FACTOR, multiple myeloma, CYTOKINE LEVELS, EnviroGenoMarkers Consortium Consortium members, Oncology, POOR-PROGNOSIS, cytokine, INDEPENDENT PREDICTOR, Oncology & Carcinogenesis, NON-HODGKIN-LYMPHOMA, Life Sciences & Biomedicine, SOLUBLE CD30, 1112 Oncology And Carcinogenesis
Abstract

Recent prospective studies have shown that dysregulation of the immune system may precede the development of B-cell lymphomas (BCL) in immunocompetent individuals. However, to date, the studies were restricted to a few immune markers, which were considered separately. Using a nested case-control study within two European prospective cohorts, we measured plasma levels of 28 immune markers in samples collected a median of 6 years prior to diagnosis (range, 2.01-15.97) in 268 incident cases of BCL (including multiple myeloma) and matched controls. Linear mixed models, and Partial Least Square analyses were used to analyze the association between levels of immune marker and the incidence of BCL and its main histological subtypes, and to investigate potential biomarkers predictive of the time to diagnosis. Linear mixed modelIrrespective of the model, our analyses identified associations linking blood lower immune markerslevels of and BCL incidence. In particular, we identified growth factors, and within that family, fibroblast growth factor-2 (FGF-2 , p=7.2x10 -4 ), ) and transforming growth factor alpha (TGF-α , p=6.5x10 -5 ) and BCL incidence. Analyses stratified by histological subtypes identified inverse associations for MM subtype including FGF-2 (p=7.8x10 -7 ), TGF-α (p=4.08x10 -5 ), fractalkine (p=1.12x10 -3 ), monocyte chemotactic protein-3 (p=1.36x10 -4 ), macrophage inflammatory protein 1-alpha (p=4.6x10 -4 ), and vascular endothelial growth factor (p=4.23x10 -5 ). , and vascular endothelial growth factor (VEGF), to be consistently (and inversely) associated with MM incidence. Our results also provide d marginal support for already reported associations between chemokines and diffuse large B-Cell lymphoma (DLBCL) , and cytokines and chronic lymphocytic leukemia (CLL) . Case-only analyses showed that GM-CSF levels were consistently higher closer to diagnosis, which provides further evidence of its role in tumor progression. In conclusion, our study suggests a role of growth-factors in the incidence of MM, and of chemokine and cytokine regulation in DLBCL and CLL.

Published
2018

9. Perturbation of metabolic pathways mediates the association of air pollutants with asthma and cardiovascular diseases

Author

Jeong, A., Fiorito, G., Keski-Rahkonen, P., Imboden, M., Kiss, A., Robinot, N., Gmuender, H., Vlaanderen, J., Vermeulen, R., Kyrtopoulos, S., Herceg, Z., Ghantous, A., Lovison, G., Galassi, C., Ranzi, A., Krogh, V., Grioni, S., Agnoli, C., Sacerdote, C., Mostafavi, N., Naccarati, A., Scalbert, A., Vineis, P., Probst-Hensch, N., One Health Chemisch, dIRAS RA-2, One Health Chemisch, dIRAS RA-2, Jeong, Ayoung, Fiorito, Giovanni, Keski-Rahkonen, Pekka, Imboden, Medea, Kiss, Agneta, Robinot, Nivonirina, Gmuender, Han, Vlaanderen, Jelle, Vermeulen, Roel, Kyrtopoulos, Soterio, Herceg, Zdenko, Ghantous, Akram, Lovison, Gianfranco, Galassi, Claudia, Ranzi, Andrea, Krogh, Vittorio, Grioni, Sara, Agnoli, Claudia, Sacerdote, Carlotta, Mostafavi, Nahid, Naccarati, Alessio, Scalbert, Augustin, Vineis, Paolo, and Probst-Hensch, Nicole

Subjects
Air pollution Untargeted metabolomics Metabolic pathways Adult-onset asthma Cardio-cerebrovascular diseases, 0301 basic medicine, Chronic exposure, Adult, Air pollution exposure, Air pollution, 010501 environmental sciences, medicine.disease_cause, 01 natural sciences, Settore MED/01 - Statistica Medica, 03 medical and health sciences, Air pollutants, MD Multidisciplinary, medicine, Humans, 0105 earth and related environmental sciences, General Environmental Science, Asthma, Cardio-cerebrovascular diseases, Air Pollutants, Untargeted metabolomics, Odds ratio, Environmental Exposure, medicine.disease, Metabolic pathway, 030104 developmental biology, Metabolic pathways, Cardiovascular Diseases, Case-Control Studies, Immunology, EXPOsOMICS Consortium, Environmental Sciences, Metabolic Networks and Pathways, Adult-onset asthma
Abstract

Background: Epidemiologic evidence indicates common risk factors, including air pollution exposure, for respiratory and cardiovascular diseases, suggesting the involvement of common altered molecular pathways. Objectives: The goal was to find intermediate metabolites or metabolic pathways that could be associated with both air pollutants and health outcomes (“meeting-in-the-middle”), thus shedding light on mechanisms and reinforcing causality. Methods: We applied a statistical approach named ‘meet-in-the-middle’ to untargeted metabolomics in two independent case-control studies nested in cohorts on adult-onset asthma (AOA) and cardio-cerebrovascular diseases (CCVD). We compared the results to identify both common and disease-specific altered metabolic pathways. Results: A novel finding was a strong association of AOA with ultrafine particles (UFP; odds ratio 1.80 [1.26, 2.55] per increase by 5000 particles/cm3). Further, we have identified several metabolic pathways that potentially mediate the effect of air pollution on health outcomes. Among those, perturbation of Linoleate metabolism pathway was associated with air pollution exposure, AOA and CCVD. Conclusions: Our results suggest common pathway perturbations may occur as a consequence of chronic exposure to air pollution leading to increased risk for both AOA and CCVD.

Published
2018

11. Genes associated with Parkinson's disease respond to increasing polychlorinated biphenyl levels in the blood of healthy females

Author

Bohler, S., Espín-Pérez, A., Gebel, S., Bergdahl, Ingvar, Palli, D., Rantakokko, P., Kiviranta, H., Kyrtopoulos, S., Balling, R., Kleinjans, J. C. S., Bohler, S., Espín-Pérez, A., Gebel, S., Bergdahl, Ingvar, Palli, D., Rantakokko, P., Kiviranta, H., Kyrtopoulos, S., Balling, R., and Kleinjans, J. C. S.

Abstract

Supplement: 1Meeting Abstract: P12-03

Published
2018
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12. Perturbation of metabolic pathways mediates the association of air pollutants with asthma and cardiovascular diseases

Author

One Health Chemisch, dIRAS RA-2, Jeong, A., Fiorito, G., Keski-Rahkonen, P., Imboden, M., Kiss, A., Robinot, N., Gmuender, H., Vlaanderen, J., Vermeulen, R., Kyrtopoulos, S., Herceg, Z., Ghantous, A., Lovison, G., Galassi, C., Ranzi, A., Krogh, V., Grioni, S., Agnoli, C., Sacerdote, C., Mostafavi, N., Naccarati, A., Scalbert, A., Vineis, P., Probst-Hensch, N., EXPOsOMICS consortium‡, One Health Chemisch, dIRAS RA-2, Jeong, A., Fiorito, G., Keski-Rahkonen, P., Imboden, M., Kiss, A., Robinot, N., Gmuender, H., Vlaanderen, J., Vermeulen, R., Kyrtopoulos, S., Herceg, Z., Ghantous, A., Lovison, G., Galassi, C., Ranzi, A., Krogh, V., Grioni, S., Agnoli, C., Sacerdote, C., Mostafavi, N., Naccarati, A., Scalbert, A., Vineis, P., Probst-Hensch, N., and EXPOsOMICS consortium‡

Published
2018

16. The exposome in practice: Design of the EXPOsOMICS project

Author

Vineis, P., primary, Chadeau-Hyam, M., additional, Gmuender, H., additional, Gulliver, J., additional, Herceg, Z., additional, Kleinjans, J., additional, Kogevinas, M., additional, Kyrtopoulos, S., additional, Nieuwenhuijsen, M., additional, Phillips, D.H., additional, Probst-Hensch, N., additional, Scalbert, A., additional, Vermeulen, R., additional, and Wild, C.P., additional

Published
2017
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19. Genotoxic effects of asbestos in humans

Author

Dusinska, M., Collins, A., Kazimirova, A., Barancokova, M., Harrington, V., Volkovova, K., Staruchova, M., Horska, A., Wsolova, L., Kocan, A., Petrik, J., Machata, M., Ratcliffe, B., and Kyrtopoulos, S. A.

Abstract

Journal URL: http://www.sciencedirect.com/science/journal/00275107

Published
2008

20. Novel functionalised inhibitors of O6-alkylguanine-DNA alkyltransferase

Author

Pletsas, D., Nicolaou, A., Pletsa, Vassiliki, Kyrtopoulos, S. A., Michael, C. B. Y., and Wheelhouse, R. T.

Subjects
InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Abstract

Journal URL: http://www.nature.com/bjc/index.html

Published
2008

33. Biomonitoring human exposure to environmental carcinogenic chemicals

Author

Farmer, P. B., Sepai, O., Lawrence, R., Autrup, H., Nielsen, P. S., Vestergard, A. B., Waters, R., Leuratti, C., Jones, N. J., Stone, J., Baan, R. A., vanDelft, J. H. M., Steenwinkel, Mjst, Kyrtopoulos, S. A., Souliotis, Vassilis L., and Theodorakopoulos, Nikos

Abstract

Journal URL: http://mutage.oxfordjournals.org/

Published
2008

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