Filters








126,060 Hits in 2.9 sec

Would you want to know? Public attitudes on early diagnostic testing for Alzheimer's disease

Elizabeth M Wikler, Robert J Blendon, John M Benson
2013 Alzheimer's Research & Therapy  
Would they want to know whether they will get this fatal, untreatable disease?  ...  Third, future surveys should measure whether people would want to take such a test if they were told that no treatment or cure is currently available.  ... 
doi:10.1186/alzrt206 pmid:24010759 pmcid:PMC3978817 fatcat:pvxh6772onb2phxaznd5odcsqa

Metabolomics in Advanced Liver Disease

Noora Kano, Elizabeth J. Want, Mark J. W. McPhail
2021 Current treatment options in gastroenterology  
Elizabeth J. Want declares that she has no conflict of interest. Mark JW McPhail declares that he has no conflict of interest.  ...  Equal Declaration Ethics approval N/A Liver (J Bajaj, Section Editor)  ... 
doi:10.1007/s11938-021-00347-w fatcat:62he6q5rzrfojbcldzoc3kjaum

"I just want to be skinny.": A content analysis of tweets expressing eating disorder symptoms

Patricia A. Cavazos-Rehg, Melissa J. Krauss, Shaina J. Costello, Nina Kaiser, Elizabeth S. Cahn, Ellen E. Fitzsimmons-Craft, Denise E. Wilfley, Sergi Lozano
2019 PLoS ONE  
In addition to examining DSM ED criteria within tweets, we wanted to determine if a social analytics company could be used to successfully infer the demographics of Twitter users that would align with  ... 
doi:10.1371/journal.pone.0207506 pmid:30650072 pmcid:PMC6334988 fatcat:6iygty7al5hbpmy3g54vtsjssi

Does 'Wanting the Best' create more stress? The link between baby sign classes and maternal anxiety

Neil Howlett, Elizabeth Kirk, Karen J. Pine
2010 Infant and Child Development  
Does 'wanting the best' create more stress? The link between baby sign classes and maternal anxiety.  ...  As long as there are parents who want the very best for their child, there will be companies keen to offer a vast range of products to promote the child's development.  ... 
doi:10.1002/icd.705 fatcat:micku7fl3nafjnkumn2qbndjyu

Will not want: Self-control rather than motivation explains the female advantage in report card grades

Angela L. Duckworth, Elizabeth P. Shulman, Andrew J. Mastronarde, Sarah D. Patrick, Jinghui Zhang, Jeremy Druckman
2015 Learning and Individual Differences  
Put succinctly, will, not want, explains the superior performance of girls in the classroom.  ...  Do girls simply want to do well in school more than boys do, finding it either more interesting or important (i.e., a difference in motivation)?  ... 
doi:10.1016/j.lindif.2015.02.006 pmid:25883522 pmcid:PMC4395866 fatcat:5ae67hg2qfgzbgjhn6updsgrvu

The Expanding Role of Mass Spectrometry in Metabolite Profiling and Characterization

Elizabeth J. Want, Benjamin F. Cravatt, Gary Siuzdak
2005 ChemBioChem  
doi:10.1002/cbic.200500151 pmid:16206229 fatcat:ygror5lnqfc23a2w2ongxib5pe

A Microdialysis Workflow for Metabotyping Superficial Pathologies: Application to Burn Injury

Dominic Friston, Helen Laycock, Istvan Nagy, Elizabeth J. Want
2019 Analytical Chemistry  
ORCID Elizabeth J. Want: 0000-0002-7433-8632 Notes The authors declare no competing financial interest. ■ ACKNOWLEDGMENTS E.J.W. acknowledges Waters Corporation for funding.  ... 
doi:10.1021/acs.analchem.8b05615 pmid:31021084 pmcid:PMC6533596 fatcat:xrkd5vxcgrbbtbzejl7v7ftiie

Can an old dog learn (and want to experience) new tricks? Cognitive training increases openness to experience in older adults

Joshua J. Jackson, Patrick L. Hill, Brennan R. Payne, Brent W. Roberts, Elizabeth A. L. Stine-Morrow
2012 Psychology and Aging  
The present study investigated whether an intervention aimed to increase cognitive ability in older adults also changes the personality trait of openness to experience. Older adults completed a 16-week program in inductive reasoning training supplemented by weekly crossword and Sudoku puzzles. Changes in openness to experience were modeled across four assessments over 30 weeks using latent growth curve models. Results indicate that participants in the intervention condition increased in the
more » ... t of openness compared with a waitlist control group. The study is one of the first to demonstrate that personality traits can change through nonpsychopharmocological interventions.
doi:10.1037/a0025918 pmid:22251379 pmcid:PMC3330146 fatcat:z4tagszqhvgxfnogguvbby2k2u

From Samples to Insights into Metabolism: Uncovering Biologically Relevant Information in LC-HRMS Metabolomics Data

Julijana Ivanisevic, Elizabeth J. Want
2019 Metabolites  
Untargeted metabolomics (including lipidomics) is a holistic approach to biomarker discovery and mechanistic insights into disease onset and progression, and response to intervention. Each step of the analytical and statistical pipeline is crucial for the generation of high-quality, robust data. Metabolite identification remains the bottleneck in these studies; therefore, confidence in the data produced is paramount in order to maximize the biological output. Here, we outline the key steps of
more » ... e metabolomics workflow and provide details on important parameters and considerations. Studies should be designed carefully to ensure appropriate statistical power and adequate controls. Subsequent sample handling and preparation should avoid the introduction of bias, which can significantly affect downstream data interpretation. It is not possible to cover the entire metabolome with a single platform; therefore, the analytical platform should reflect the biological sample under investigation and the question(s) under consideration. The large, complex datasets produced need to be pre-processed in order to extract meaningful information. Finally, the most time-consuming steps are metabolite identification, as well as metabolic pathway and network analysis. Here we discuss some widely used tools and the pitfalls of each step of the workflow, with the ultimate aim of guiding the reader towards the most efficient pipeline for their metabolomics studies.
doi:10.3390/metabo9120308 pmid:31861212 pmcid:PMC6950334 fatcat:6anqngosy5a6jgi5bjhyfdabpu

Assignment of Endogenous Substrates to Enzymes by Global Metabolite Profiling†

Alan Saghatelian, Sunia A. Trauger, Elizabeth J. Want, Edward G. Hawkins, Gary Siuzdak, Benjamin F. Cravatt
2004 Biochemistry  
The product was then eluted using 2% HCl in methanol to afford C18:1 NAT (15 mg, 23%): 1 H NMR (500 MHz, CDCl 3 ) δ 5.34 (m, 2H), 3.66 (t, 2H, J ) 7 Hz), 3.00 (t, 2H, J ) 7 Hz), 2.31 (t, 2H, J ) 7.7 Hz  ...  ), 2.03 (m, 4H), 1.62 (m, 2H), 1.31 (m, 20 H), 0.90 (t, 3H, J ) 6.95 Hz).  ... 
doi:10.1021/bi0480335 pmid:15533037 fatcat:6h6qqwvyifcozp3n77rdy4czfq

Phospholipid capture combined with non-linear chromatographic correction for improved serum metabolite profiling

Elizabeth J. Want, Colin A. Smith, Chuan Qin, K. C. Van Horne, Gary Siuzdak
2006 Metabolomics  
All solvents, including the water for the LC/MS studies were HPLC grade (J. T. Baker, Phillipsburg, NJ).  ...  ., 2003; Want et al., 2006) . However, these approaches are not particularly effective at removing phospholipids.  ... 
doi:10.1007/s11306-006-0028-0 fatcat:2q5fth4cmvhuzhroleneacnmae

A Statistically Rigorous Test for the Identification of Parent−Fragment Pairs in LC-MS Datasets

Andreas Ipsen, Elizabeth J. Want, John C. Lindon, Timothy M. D. Ebbels
2010 Analytical Chemistry  
O.; Zhang, O.; Page, J. S.; Shen, Y.; Callister, S. J.; Jacobs, J. M.; Smith, R. D. Biomark. Med. 2007, 1 (1), 159-185. (4) Want, E. J.; Nordstrom, A.; Morita, H.; Siuzdak, G. J.  ...  A.; Want, E. J.; O'Maille, G.; Abagyan, R.; Siuzdak, G. Anal. Chem. 2006, 78, 779-787. (29) Lommen, A. Anal. Chem. 2009, 81 (8), 3079-3086. (30) Katajamaa, M.; Miettinen, J.; Oresic, M.  ... 
doi:10.1021/ac902361f pmid:20143830 pmcid:PMC2829950 fatcat:xglbf3bznvcmvghyznyjwdk2uy

Untargeted UPLC-MS Profiling Pipeline to Expand Tissue Metabolome Coverage: Application to Cardiovascular Disease

Panagiotis A. Vorkas, Giorgis Isaac, Muzaffar A. Anwar, Alun H. Davies, Elizabeth J. Want, Jeremy K. Nicholson, Elaine Holmes
2015 Analytical Chemistry  
Metabolic profiling studies aim to achieve broad metabolome coverage in specific biological samples. However, wide metabolome coverage has proven difficult to achieve, mostly because of the diverse physicochemical properties of small molecules, obligating analysts to seek multiplatform and multimethod approaches. Challenges are even greater when it comes to applications to tissue samples, where tissue lysis and metabolite extraction can induce significant systematic variation in composition. We
more » ... have developed a pipeline for obtaining the aqueous and organic compounds from diseased arterial tissue using two consecutive extractions, followed by a different untargeted UPLC-MS analysis method for each extract. Methods were rationally chosen and optimized to address the different physicochemical properties of each extract: hydrophilic interaction liquid chromatography (HILIC) for the aqueous extract and reversed-phase chromatography for the organic. This pipeline can be generic for tissue analysis as demonstrated by applications to different tissue types. The experimental setup and fast turnaround time of the two methods contributed toward obtaining highly reproducible features with exceptional chromatographic performance (CV % < 0.5%), making this pipeline suitable for metabolic profiling applications. We structurally assigned 226 metabolites from a range of chemical classes (e.g., carnitines, α-amino acids, purines, pyrimidines, phospholipids, sphingolipids, free fatty acids, and glycerolipids) which were mapped to their corresponding pathways, biological functions and known disease mechanisms. The combination of the two untargeted UPLC-MS methods showed high metabolite complementarity. We demonstrate the application of this pipeline to cardiovascular disease, where we show that the analyzed diseased groups (n = 120) of arterial tissue could be distinguished based on their metabolic profiles. M etabolic profiling relies on the application of a range of analytical technologies to measure simultaneously differential levels of multiple metabolites in biological matrices. 1 It is important to ensure wide metabolome coverage and consequently enhance biomarker detection probability. For this an untargeted format is the approach of choice warranting the ability to detect unmapped metabolites and pathways, as well as compounds originating from environmental interactions unrelated to the biology of the system studied. 2,3 To compensate for the different capabilities of each technique/ method, their bias toward specific classes of metabolites, 4 and the wide physicochemical diversity of the metabolome in a biological matrix, multiple platforms 5−8 and methods 4 are required to expand metabolite coverage. Hydrophilic interaction liquid chromatography coupled to mass spectrometry (HILIC-MS) is a relatively new chromatographic tool applied in the effort to expand metabolome coverage. The importance of HILIC is attributed to its ability to
doi:10.1021/ac503775m pmid:25664760 pmcid:PMC4407508 fatcat:k52aujy2hzgqnbsbziju2noy7m

Construction of Confidence Regions for Isotopic Abundance Patterns in LC/MS Data Sets for Rigorous Determination of Molecular Formulas

Andreas Ipsen, Elizabeth J. Want, Timothy M. D. Ebbels
2010 Analytical Chemistry  
The development of a test of hypothesis with a known null distribution would be highly desirable, but for want of a detailed mathematical model which can rigorously account for the mixture of isotopologues  ... 
doi:10.1021/ac101278x pmid:20690638 pmcid:PMC2930401 fatcat:6yylzv7bgrgolhw5f3yv3bawoy

Metabolic perturbations associated with the consumption of a ketogenic medium-chain TAG diet in dogs with idiopathic epilepsy

Tsz Hong Law, Holger A. Volk, Yuanlong Pan, Brian Zanghi, Elizabeth J. Want
2018 British Journal of Nutrition  
AbstractConsumption of diets containing medium-chain TAG (MCT) has been shown to confer neuroprotective effects. We aim to identify the global metabolic perturbations associated with consumption of a ketogenic diet (medium-chain TAG diet (MCTD)) in dogs with idiopathic epilepsy. We used ultra-performance liquid chromatography-MS (UPLC-MS) to generate metabolic and lipidomic profiles of fasted canine serum and made comparisons between the MCTD and standardised placebo diet phases. We identified
more » ... etabolites that differed significantly between diet phases using metabolite fragmentation profiles generated by tandem MS (UPLC–MS/MS). Consumption of the MCTD resulted in significant differences in serum metabolic profiles when compared with the placebo diet, where sixteen altered lipid metabolites were identified. Consumption of the MCTD resulted in reduced abundances of palmitoylcarnitine, octadecenoylcarnitine, stearoylcarnitine and significant changes, both reduced and increased abundances, of phosphatidylcholine (PC) metabolites. There was a significant increase in abundance of the saturated C17 : 0 fatty acyl moieties during the MCTD phase. Lysophosphatidylcholine (17 : 0) (P=0·01) and PC (17:0/20:4) (P=0·03) were both significantly higher in abundance during the MCTD. The data presented in this study highlight global changes in lipid metabolism, and, of particular interest, in the C17 : 0 moieties, as a result of MCT consumption. Elucidating the global metabolic response of MCT consumption will not only improve the administration of current ketogenic diets for neurological disease models but also provides new avenues for research to develop better diet therapies with improved neuroprotective efficacies. Future studies should clarify the involvement and importance of C17 : 0 moieties in endogenous MCT metabolic pathways.
doi:10.1017/s0007114518001617 pmid:30001753 fatcat:wlssw47dxnatxbq3mbiz4oiwji
« Previous Showing results 1 — 15 out of 126,060 results