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- Emerging Risk Factors, Collaboration, et al.
(author)
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The Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases
- 2007
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In: Eur J Epidemiol. - 0393-2990. ; 22:12, s. 839-69
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Journal article (peer-reviewed)abstract
- Many long-term prospective studies have reported on associations of cardiovascular diseases with circulating lipid markers and/or inflammatory markers. Studies have not, however, generally been designed to provide reliable estimates under different circumstances and to correct for within-person variability. The Emerging Risk Factors Collaboration has established a central database on over 1.1 million participants from 104 prospective population-based studies, in which subsets have information on lipid and inflammatory markers, other characteristics, as well as major cardiovascular morbidity and cause-specific mortality. Information on repeat measurements on relevant characteristics has been collected in approximately 340,000 participants to enable estimation of and correction for within-person variability. Re-analysis of individual data will yield up to approximately 69,000 incident fatal or nonfatal first ever major cardiovascular outcomes recorded during about 11.7 million person years at risk. The primary analyses will involve age-specific regression models in people without known baseline cardiovascular disease in relation to fatal or nonfatal first ever coronary heart disease outcomes. This initiative will characterize more precisely and in greater detail than has previously been possible the shape and strength of the age- and sex-specific associations of several lipid and inflammatory markers with incident coronary heart disease outcomes (and, secondarily, with other incident cardiovascular outcomes) under a wide range of circumstances. It will, therefore, help to determine to what extent such associations are independent from possible confounding factors and to what extent such markers (separately and in combination) provide incremental predictive value.
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| 3. |
- Berry, C C, et al.
(author)
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Human fibroblast and human bone marrow cell response to lithographically nanopatterned adhesive domains on protein rejecting substrates.
- 2007
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In: IEEE Transactions on Nanobioscience. - 1536-1241. ; 6:3, s. 201-9
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Journal article (peer-reviewed)abstract
- The separate influence of topographical and chemical cues on cell attachment and spreading are well documented; however, that of duel-cue substrates is less so. In this study graft copolymers that sterically stabilize biological surfaces were employed alongside nanotopographical features fabricated by colloidal lithography. This resulted in the production of a range of substrates whereby the effect of chemistry and or topography on both on human fibroblast and bone marrow cell adhesion and spreading could be observed. The current studies indicate an enhancement of cell response as a consequence of modifications in material topography, whereas the current selected chemical cues inhibited cell function. Critically, in combination, topography modulated the effects of chemical environment.
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| 7. |
- Agheli, Hossein, 1965, et al.
(author)
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Nanostructured biointerfaces
- 2006
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In: Materials Science and Engineering C. ; 26, s. 911-917
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Journal article (peer-reviewed)
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| 9. |
- Dalby, Matthew J, et al.
(author)
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Nanomechanotransduction and interphase nuclear organization influence on genomic control.
- 2007
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In: Journal of Cellular Biochemistry. - : Wiley. - 0730-2312 .- 1097-4644. ; 102:5, s. 1234-44
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Journal article (peer-reviewed)abstract
- The ability of cells to alter their genomic regulation in response to mechanical conditioning or through changes in morphology and the organization of the interphase nuclei are key questions in cell biology. Here, two nanotopographies have been used as a model surfaces to change cell morphology in order to investigate spatial genomic changes within the nuclei of fibroblasts. Initially, centromeres for chromosome pairs were labeled and the average distance on different substrates calculated. Further to this, Affymetrix whole genome GeneChips were used to rank genomic changes in response to topography and plot the whereabouts on the chromosomes these changes were occurring. It was seen that as cell spreading was changed, so were the positions along the chromosomes that gene regulations were being observed. We hypothesize that as changes in cell and thus nuclear morphology occur, that this may alter the probability of transcription through opening or closing areas of the chromosomes to transcription factors.
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