| 1. |
- Kehoe, Laura, et al.
(author)
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Make EU trade with Brazil sustainable
- 2019
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In: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 364:6438, s. 341-
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Journal article (other academic/artistic)
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| 2. |
- Clish, Clary B., et al.
(author)
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Integrative biological analysis of the APOE*3-leiden transgenic mouse
- 2004
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In: Omics. - : Mary Ann Liebert. - 1536-2310 .- 1557-8100. ; 8:1, s. 3-13
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Journal article (peer-reviewed)abstract
- Integrative (or systems biology) is a new approach to analyzing biological entities as integrated systems of genetic, genomic, protein, metabolite, cellular, and pathway events that are in flux and interdependent. Here, we demonstrate the application of intregrative biological analysis to a mammalian disease model, the apolipoprotein E3-Leiden (APO*E3) transgenic mouse. Mice selected for the study were fed a normal chow diet and sacrificed at 9 weeks of age-conditions under which they develop only mild type I and II atherosclerotic lesions. Hepatic mRNA expression analysis showed a 25% decrease in APO A1 and a 43% increase in liver fatty acid binding protein expression between transgenic and wild type control mice, while there was no change in PPAR-alpha expression. On-line high performance liquid chromatography-mass spectrometry quantitative profiling of tryptic digests of soluble liver proteins and liver lipids, coupled with principle component analysis, enabled rapid identification of early protein and metabolite markers of disease pathology. These included a 44% increase in L-FABP in transgenic animals compared to controls, as well as an increase in triglycerides and select bioactive lysophosphatidylcholine species. A correlation analysis of identified genes, proteins, and lipids was used to construct an interaction network. Taken together, these results indicate that integrative biology is a powerful tool for rapid identification of early markers and key components of pathophysiologic processes, and constitute the first application of this approach to a mammalian system.
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| 3. |
- Davidov, Eugene, et al.
(author)
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Methods for the differential integrative omic analysis of plasma from a transgenic disease animal model
- 2004
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In: Omics. - : Mary Ann Liebert. - 1536-2310 .- 1557-8100. ; 8:4, s. 267-288
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Journal article (peer-reviewed)abstract
- Multitiered quantitative analysis of biological systems is rapidly becoming the desired approach to study hierarchical functional interactions between proteins and metabolites. We describe here a novel systematic approach to analyze organisms with complex metabolic regulatory networks. By using precise analytical methods to measure biochemical constituents and their relative abundance in whole plasma of transgenic ApoE*3-Leiden mice and an isogenic wild-type control group, simultaneous snapshots of metabolic and protein states were obtained. Novel data processing and multivariate analysis tools such as Impurity Resolution Software (IMPRESS) and Windows-based linear fit program (WINLIN) were used to compare protein and metabolic profiles in parallel. Canonical correlations of the resulting data show quantitative relationships between heterogeneous components in the TG animals. These results, obtained solely from whole plasma analysis allowed us, in a rapid manner, to corroborate previous findings as well as find new events pertaining to dominant and peripheral events in lipoprotein metabolism of a genetically modified mammalian organism in relation to ApoE3, a key mediator of lipoprotein metabolism.
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| 4. |
- Ljunggren, Philip, et al.
(author)
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Reduced brachial artery distensibility in patients with type 1 diabetes
- 2016
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In: Journal of diabetes and its complications. - : ELSEVIER SCIENCE INC. - 1056-8727 .- 1873-460X. ; 30:5, s. 893-897
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Journal article (peer-reviewed)abstract
- Background and aims: In patients with type 1 diabetes mellitus (T1D), cardiovascular disease (CVD) events are more common and occur earlier in life than in non-diabetics. Reduced brachial artery distensibility (BrachD) is an independent risk factor for development of CVD. Our aim was to determine if adults with T1D have lower BrachD compared to adults without diabetes and also to determine how age and gender affect the relationship of BrachD with T1D status. Materials and methods: BrachD was measured using the Dynapulse instrument in 829 participants (352 with T1D, 477 non-diabetics). An ANCOVA model was used to test the association of BrachD with age, sex, and T1D, and the significance of an age*sex*T1D interaction. Results: Mean BrachD was lower in T1D patients vs. controls (6.43 +/- 1.46 vs. 7.16 +/- 1.48 % change per mmHg, p amp;lt; 0.0001). In a model adjusted for age, T1D, and sex, the interaction of age*T1D*sex was significant (p = 0.0045). Younger women both with and without T1D had higher BrachD than men with and without T1D, but older women with and without T1D had lower BrachD compared to older men with and without T1D. Women with T1D had a steeper decline in BrachD with age than nondiabetic women. Conclusions: BrachD is lower in T1D patients than in non-diabetics, indicating increased vascular stiffness. Younger females have higher BrachD than males, but the decline with age in BrachD is steeper for women, particularly among those with T1D. BrachD may be an inexpensive, non-invasive method to ascertain increased CVD risk in this population. (C) 2016 Elsevier Inc. All rights reserved.
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