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Items: 1 to 20 of 114

1.

Urinary metabolic phenotyping differentiates children with autism from their unaffected siblings and age-matched controls.

Yap IK, Angley M, Veselkov KA, Holmes E, Lindon JC, Nicholson JK.

J Proteome Res. 2010 Jun 4;9(6):2996-3004. doi: 10.1021/pr901188e.

PMID:
20337404
2.

The urinary metabolomics profile of an Italian autistic children population and their unaffected siblings.

Noto A, Fanos V, Barberini L, Grapov D, Fattuoni C, Zaffanello M, Casanova A, Fenu G, De Giacomo A, De Angelis M, Moretti C, Papoff P, Ditonno R, Francavilla R.

J Matern Fetal Neonatal Med. 2014 Oct;27 Suppl 2:46-52. doi: 10.3109/14767058.2014.954784.

PMID:
25284177
3.

Use of solid-phase microextraction coupled to gas chromatography-mass spectrometry for determination of urinary volatile organic compounds in autistic children compared with healthy controls.

Cozzolino R, De Magistris L, Saggese P, Stocchero M, Martignetti A, Di Stasio M, Malorni A, Marotta R, Boscaino F, Malorni L.

Anal Bioanal Chem. 2014 Jul;406(19):4649-62. doi: 10.1007/s00216-014-7855-z. Epub 2014 May 15.

PMID:
24828982
4.

1H-13C NMR-based urine metabolic profiling in autism spectrum disorders.

Mavel S, Nadal-Desbarats L, Blasco H, Bonnet-Brilhault F, Barthélémy C, Montigny F, Sarda P, Laumonnier F, Vourc'h P, Andres CR, Emond P.

Talanta. 2013 Sep 30;114:95-102. doi: 10.1016/j.talanta.2013.03.064. Epub 2013 Apr 9.

PMID:
23953447
5.

Identification of organic acids as potential biomarkers in the urine of autistic children using gas chromatography/mass spectrometry.

Kałużna-Czaplińska J, Żurawicz E, Struck W, Markuszewski M.

J Chromatogr B Analyt Technol Biomed Life Sci. 2014 Sep 1;966:70-6. doi: 10.1016/j.jchromb.2014.01.041. Epub 2014 Feb 2.

PMID:
24565890
6.

Urinary metabolic phenotyping the slc26a6 (chloride-oxalate exchanger) null mouse model.

Garcia-Perez I, Villaseñor A, Wijeyesekera A, Posma JM, Jiang Z, Stamler J, Aronson P, Unwin R, Barbas C, Elliott P, Nicholson J, Holmes E.

J Proteome Res. 2012 Sep 7;11(9):4425-35. doi: 10.1021/pr2012544. Epub 2012 Aug 28.

7.

Metabolic perturbance in autism spectrum disorders: a metabolomics study.

Ming X, Stein TP, Barnes V, Rhodes N, Guo L.

J Proteome Res. 2012 Dec 7;11(12):5856-62. doi: 10.1021/pr300910n. Epub 2012 Nov 9.

8.

Altered amino acid excretion in children with autism.

Evans C, Dunstan RH, Rothkirch T, Roberts TK, Reichelt KL, Cosford R, Deed G, Ellis LB, Sparkes DL.

Nutr Neurosci. 2008 Feb;11(1):9-17. doi: 10.1179/147683008X301360.

PMID:
18510798
9.

Fecal and urinary NMR-based metabolomics unveil an aging signature in mice.

Calvani R, Brasili E, Praticò G, Capuani G, Tomassini A, Marini F, Sciubba F, Finamore A, Roselli M, Marzetti E, Miccheli A.

Exp Gerontol. 2014 Jan;49:5-11. doi: 10.1016/j.exger.2013.10.010. Epub 2013 Oct 29.

PMID:
24184118
10.

Stability and robustness of human metabolic phenotypes in response to sequential food challenges.

Heinzmann SS, Merrifield CA, Rezzi S, Kochhar S, Lindon JC, Holmes E, Nicholson JK.

J Proteome Res. 2012 Feb 3;11(2):643-55. doi: 10.1021/pr2005764. Epub 2011 Dec 16.

PMID:
21999107
11.

Metabolic profiling studies on the toxicological effects of realgar in rats by (1)H NMR spectroscopy.

Wei L, Liao P, Wu H, Li X, Pei F, Li W, Wu Y.

Toxicol Appl Pharmacol. 2009 Feb 1;234(3):314-25. doi: 10.1016/j.taap.2008.11.010. Epub 2008 Nov 25.

PMID:
19073202
12.

Urinary levels of neopterin and biopterin in autism.

Messahel S, Pheasant AE, Pall H, Ahmed-Choudhury J, Sungum-Paliwal RS, Vostanis P.

Neurosci Lett. 1998 Jan 23;241(1):17-20.

PMID:
9502205
13.

Revealing the metabonomic variation of EC using ¹H-NMR spectroscopy and its association with the clinicopathological characteristics.

Hasim A, Ma H, Mamtimin B, Abudula A, Niyaz M, Zhang LW, Anwer J, Sheyhidin I.

Mol Biol Rep. 2012 Sep;39(9):8955-64. doi: 10.1007/s11033-012-1764-z. Epub 2012 Jun 27.

PMID:
22736106
14.

A prospective study of autistic-like traits in unaffected siblings of probands with autism spectrum disorder.

Georgiades S, Szatmari P, Zwaigenbaum L, Bryson S, Brian J, Roberts W, Smith I, Vaillancourt T, Roncadin C, Garon N.

JAMA Psychiatry. 2013 Jan;70(1):42-8. doi: 10.1001/2013.jamapsychiatry.1.

PMID:
22945359
15.

Urinary oxidative stress markers in children with autism.

Damodaran LP, Arumugam G.

Redox Rep. 2011;16(5):216-22. doi: 10.1179/1351000211Y.0000000012.

16.

1H NMR metabolomics study of age profiling in children.

Gu H, Pan Z, Xi B, Hainline BE, Shanaiah N, Asiago V, Gowda GA, Raftery D.

NMR Biomed. 2009 Oct;22(8):826-33. doi: 10.1002/nbm.1395.

17.

Metabolic phenotyping of nude and normal (Alpk:ApfCD, C57BL10J) mice.

Gavaghan McKee CL, Wilson ID, Nicholson JK.

J Proteome Res. 2006 Feb;5(2):378-84.

PMID:
16457604
18.

Metabolic signatures of extreme longevity in northern Italian centenarians reveal a complex remodeling of lipids, amino acids, and gut microbiota metabolism.

Collino S, Montoliu I, Martin FP, Scherer M, Mari D, Salvioli S, Bucci L, Ostan R, Monti D, Biagi E, Brigidi P, Franceschi C, Rezzi S.

PLoS One. 2013;8(3):e56564. doi: 10.1371/journal.pone.0056564. Epub 2013 Mar 6. Erratum in: PLoS One. 2013;8(8). doi:10.1371/annotation/5fb9fa6f-4889-4407-8430-6dfc7ecdfbdd.

19.

Urinary porphyrin excretion in neurotypical and autistic children.

Woods JS, Armel SE, Fulton DI, Allen J, Wessels K, Simmonds PL, Granpeesheh D, Mumper E, Bradstreet JJ, Echeverria D, Heyer NJ, Rooney JP.

Environ Health Perspect. 2010 Oct;118(10):1450-7. doi: 10.1289/ehp.0901713. Epub 2010 Jun 24.

20.

Metabolic signatures of esophageal cancer: NMR-based metabolomics and UHPLC-based focused metabolomics of blood serum.

Zhang X, Xu L, Shen J, Cao B, Cheng T, Zhao T, Liu X, Zhang H.

Biochim Biophys Acta. 2013 Aug;1832(8):1207-16. doi: 10.1016/j.bbadis.2013.03.009. Epub 2013 Mar 20.

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