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Items: 1 to 20 of 102

1.

Sources of variability in metabolite measurements from urinary samples.

Xiao Q, Moore SC, Boca SM, Matthews CE, Rothman N, Stolzenberg-Solomon RZ, Sinha R, Cross AJ, Sampson JN.

PLoS One. 2014 May 1;9(5):e95749. doi: 10.1371/journal.pone.0095749. eCollection 2014.

2.

Metabolomics in epidemiology: sources of variability in metabolite measurements and implications.

Sampson JN, Boca SM, Shu XO, Stolzenberg-Solomon RZ, Matthews CE, Hsing AW, Tan YT, Ji BT, Chow WH, Cai Q, Liu DK, Yang G, Xiang YB, Zheng W, Sinha R, Cross AJ, Moore SC.

Cancer Epidemiol Biomarkers Prev. 2013 Apr;22(4):631-40. doi: 10.1158/1055-9965.EPI-12-1109. Epub 2013 Feb 8.

3.

Development of a universal metabolome-standard method for long-term LC-MS metabolome profiling and its application for bladder cancer urine-metabolite-biomarker discovery.

Peng J, Chen YT, Chen CL, Li L.

Anal Chem. 2014 Jul 1;86(13):6540-7. doi: 10.1021/ac5011684. Epub 2014 Jun 10.

PMID:
24877652
4.

Metabolomics in nutritional epidemiology: identifying metabolites associated with diet and quantifying their potential to uncover diet-disease relations in populations.

Guertin KA, Moore SC, Sampson JN, Huang WY, Xiao Q, Stolzenberg-Solomon RZ, Sinha R, Cross AJ.

Am J Clin Nutr. 2014 Jul;100(1):208-17. doi: 10.3945/ajcn.113.078758. Epub 2014 Apr 16.

5.

Use of a pre-analysis osmolality normalisation method to correct for variable urine concentrations and for improved metabolomic analyses.

Chetwynd AJ, Abdul-Sada A, Holt SG, Hill EM.

J Chromatogr A. 2016 Jan 29;1431:103-10. doi: 10.1016/j.chroma.2015.12.056. Epub 2015 Dec 22.

PMID:
26755417
6.

Measurement and modeling of exposure to selected air toxics for health effects studies and verification by biomarkers.

Harrison RM, Delgado-Saborit JM, Baker SJ, Aquilina N, Meddings C, Harrad S, Matthews I, Vardoulakis S, Anderson HR; HEI Health Review Committee.

Res Rep Health Eff Inst. 2009 Jun;(143):3-96; discussion 97-100.

PMID:
19999825
7.
8.

Targeted metabolomics identifies reliable and stable metabolites in human serum and plasma samples.

Breier M, Wahl S, Prehn C, Fugmann M, Ferrari U, Weise M, Banning F, Seissler J, Grallert H, Adamski J, Lechner A.

PLoS One. 2014 Feb 24;9(2):e89728. doi: 10.1371/journal.pone.0089728. eCollection 2014.

9.

Mealtime, temporal, and daily variability of the human urinary and plasma metabolomes in a tightly controlled environment.

Kim K, Mall C, Taylor SL, Hitchcock S, Zhang C, Wettersten HI, Jones AD, Chapman A, Weiss RH.

PLoS One. 2014 Jan 24;9(1):e86223. doi: 10.1371/journal.pone.0086223. eCollection 2014.

10.

Development of isotope labeling liquid chromatography mass spectrometry for mouse urine metabolomics: quantitative metabolomic study of transgenic mice related to Alzheimer's disease.

Peng J, Guo K, Xia J, Zhou J, Yang J, Westaway D, Wishart DS, Li L.

J Proteome Res. 2014 Oct 3;13(10):4457-69. doi: 10.1021/pr500828v. Epub 2014 Sep 15.

PMID:
25164377
11.

Within- and between-child variation in repeated urinary pesticide metabolite measurements over a 1-year period.

Attfield KR, Hughes MD, Spengler JD, Lu C.

Environ Health Perspect. 2014 Feb;122(2):201-6. doi: 10.1289/ehp.1306737. Epub 2013 Dec 10.

12.

Quantitative proteomics and metabolomics analysis of normal human cerebrospinal fluid samples.

Stoop MP, Coulier L, Rosenling T, Shi S, Smolinska AM, Buydens L, Ampt K, Stingl C, Dane A, Muilwijk B, Luitwieler RL, Sillevis Smitt PA, Hintzen RQ, Bischoff R, Wijmenga SS, Hankemeier T, van Gool AJ, Luider TM.

Mol Cell Proteomics. 2010 Sep;9(9):2063-75. doi: 10.1074/mcp.M900877-MCP200.

13.

Metabonomics investigation of human urine after ingestion of green tea with gas chromatography/mass spectrometry, liquid chromatography/mass spectrometry and (1)H NMR spectroscopy.

Law WS, Huang PY, Ong ES, Ong CN, Li SF, Pasikanti KK, Chan EC.

Rapid Commun Mass Spectrom. 2008 Aug;22(16):2436-46. doi: 10.1002/rcm.3629.

PMID:
18634125
14.

Identification of human plasma metabolites exhibiting time-of-day variation using an untargeted liquid chromatography-mass spectrometry metabolomic approach.

Ang JE, Revell V, Mann A, Mäntele S, Otway DT, Johnston JD, Thumser AE, Skene DJ, Raynaud F.

Chronobiol Int. 2012 Aug;29(7):868-81. doi: 10.3109/07420528.2012.699122.

15.

Do not just do it, do it right: urinary metabolomics--establishing clinically relevant baselines.

Trivedi DK, Iles RK.

Biomed Chromatogr. 2014 Nov;28(11):1491-501. doi: 10.1002/bmc.3219. Epub 2014 May 2. Review.

PMID:
24788800
16.

Intra- and inter-individual variability of urinary phthalate metabolite concentrations in Hmong women of reproductive age.

Peck JD, Sweeney AM, Symanski E, Gardiner J, Silva MJ, Calafat AM, Schantz SL.

J Expo Sci Environ Epidemiol. 2010 Jan;20(1):90-100. doi: 10.1038/jes.2009.4. Epub 2009 Feb 18.

17.

Qualitative profiling and quantification of neonicotinoid metabolites in human urine by liquid chromatography coupled with mass spectrometry.

Taira K, Fujioka K, Aoyama Y.

PLoS One. 2013 Nov 12;8(11):e80332. doi: 10.1371/journal.pone.0080332. eCollection 2013.

19.

Comparing metabolite profiles of habitual diet in serum and urine.

Playdon MC, Sampson JN, Cross AJ, Sinha R, Guertin KA, Moy KA, Rothman N, Irwin ML, Mayne ST, Stolzenberg-Solomon R, Moore SC.

Am J Clin Nutr. 2016 Aug 10. pii: ajcn135301. [Epub ahead of print]

PMID:
27510537
20.

Combination of injection volume calibration by creatinine and MS signals' normalization to overcome urine variability in LC-MS-based metabolomics studies.

Chen Y, Shen G, Zhang R, He J, Zhang Y, Xu J, Yang W, Chen X, Song Y, Abliz Z.

Anal Chem. 2013 Aug 20;85(16):7659-65. doi: 10.1021/ac401400b. Epub 2013 Aug 2.

PMID:
23855648
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