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- Breeur, Marie, et al.
(författare)
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Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition
- 2022
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Ingår i: BMC Medicine. - : BioMed Central (BMC). - 1741-7015. ; 20:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Epidemiological studies of associations between metabolites and cancer risk have typically focused on specific cancer types separately. Here, we designed a multivariate pan-cancer analysis to identify metabolites potentially associated with multiple cancer types, while also allowing the investigation of cancer type-specific associations.Methods: We analysed targeted metabolomics data available for 5828 matched case-control pairs from cancer-specific case-control studies on breast, colorectal, endometrial, gallbladder, kidney, localized and advanced prostate cancer, and hepatocellular carcinoma nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. From pre-diagnostic blood levels of an initial set of 117 metabolites, 33 cluster representatives of strongly correlated metabolites and 17 single metabolites were derived by hierarchical clustering. The mutually adjusted associations of the resulting 50 metabolites with cancer risk were examined in penalized conditional logistic regression models adjusted for body mass index, using the data-shared lasso penalty.Results: Out of the 50 studied metabolites, (i) six were inversely associated with the risk of most cancer types: glutamine, butyrylcarnitine, lysophosphatidylcholine a C18:2, and three clusters of phosphatidylcholines (PCs); (ii) three were positively associated with most cancer types: proline, decanoylcarnitine, and one cluster of PCs; and (iii) 10 were specifically associated with particular cancer types, including histidine that was inversely associated with colorectal cancer risk and one cluster of sphingomyelins that was inversely associated with risk of hepatocellular carcinoma and positively with endometrial cancer risk.Conclusions: These results could provide novel insights for the identification of pathways for cancer development, in particular those shared across different cancer types.
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| 3. |
- Immanen, Juha, et al.
(författare)
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Characterization of cytokinin signaling and homeostasis gene families in two hardwood tree species : Populus trichocarpa and Prunus persica
- 2013
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Ingår i: BMC Genomics. - : BioMed Central. - 1471-2164. ; 14, s. 885-
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Tidskriftsartikel (refereegranskat)abstract
- Background: Through the diversity of cytokinin regulated processes, this phytohormone has a profound impact on plant growth and development. Cytokinin signaling is involved in the control of apical and lateral meristem activity, branching pattern of the shoot, and leaf senescence. These processes influence several traits, including the stem diameter, shoot architecture, and perennial life cycle, which define the development of woody plants. To facilitate research about the role of cytokinin in regulation of woody plant development, we have identified genes associated with cytokinin signaling and homeostasis pathways from two hardwood tree species. Results: Taking advantage of the sequenced black cottonwood (Populus trichocarpa) and peach (Prunus persica) genomes, we have compiled a comprehensive list of genes involved in these pathways. We identified genes belonging to the six families of cytokinin oxidases (CKXs), isopentenyl transferases (IPTs), LONELY GUY genes (LOGs), two-component receptors, histidine containing phosphotransmitters (HPts), and response regulators (RRs). All together 85 Populus and 45 Prunus genes were identified, and compared to their Arabidopsis orthologs through phylogenetic analyses. Conclusions: In general, when compared to Arabidopsis, differences in gene family structure were often seen in only one of the two tree species. However, one class of genes associated with cytokinin signal transduction, the CKI1-like family of two-component histidine kinases, was larger in both Populus and Prunus than in Arabidopsis.
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| 4. |
- Luis-Ravelo, Diego, et al.
(författare)
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Pramipexole reduces soluble mutant huntingtin and protects striatal neurons through dopamine D3 receptors in a genetic model of Huntington's disease
- 2018
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Ingår i: Experimental Neurology. - : Elsevier BV. - 0014-4886 .- 1090-2430. ; 299, s. 137-147
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Tidskriftsartikel (refereegranskat)abstract
- Huntington's disease (HD) is a neurodegenerative disorder caused by abnormal expansion of the polyglutamine tract in the huntingtin protein (HTT). The toxicity of mutant HTT (mHTT) is associated with intermediate mHTT soluble oligomers that subsequently form intranuclear inclusions. Thus, interventions promoting the clearance of soluble mHTT are regarded as neuroprotective. Striatal neurons are particularly vulnerable in HD. Their degeneration underlies motor symptoms and striatal atrophy, the anatomical hallmark of HD. Recent studies indicate that autophagy may be activated by dopamine D-2 and D-3 receptor (D2R/D3R) agonists. Since autophagy plays a central role in the degradation of misfolded proteins, and striatal neurons express D2R and D3R, D2R/D3R agonists may promote the clearance of mHTT in striatal neurons. Here, this hypothesis was tested by treating 8 week old R6/1 mice with the D2R/D3R agonist pramipexole for 4 weeks. Pramipexole reduced striatal levels of soluble mHTT and increased the size of intranuclear inclusions in R6/1 mice. Furthermore, striatal DARPP-32 levels and motor functions were recovered. These effects were accompanied by an increase in LC3-II and a decrease in p62 in the striatum. Tollip, a selective adaptor of ubiquitinated polyQ proteins to LC3, was also reduced in the striata of R6/lmice but not in their wild-type littermates. No changes were detected in the cerebral cortex where D3R expression is very low, and behavioral and biochemical effects in the striatum were prevented by a D3R antagonist. The findings indicate that PPX protects striatal neurons by promoting the clearance of soluble mHTT through a D3R-mediated mechanism. The evidence of autophagy markers suggests that autophagy is activated, although it is not efficient at removing all mHTT recruited by the autophagic machinery as indicated by the increase in the size of intranuclear inclusions.
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| 5. |
- Stanaway, Jeffrey D., et al.
(författare)
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Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017
- 2018
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Ingår i: The Lancet. - 1474-547X .- 0140-6736. ; 392:10159, s. 1923-1994
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Tidskriftsartikel (refereegranskat)abstract
- Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk-outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk-outcome pairs, and new data on risk exposure levels and risk- outcome associations. Methods We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017.
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