View Item 

Show simple item record

Metabolomic Determinants of Metabolic Risk in Mexican Adolescents
dc.contributor.authorPerng, Wei
dc.contributor.authorHector, Emily C.
dc.contributor.authorSong, Peter X.K.
dc.contributor.authorTellez Rojo, Martha Maria
dc.contributor.authorRaskind, Sasha
dc.contributor.authorKachman, Maureen
dc.contributor.authorCantoral, Alejandra
dc.contributor.authorBurant, Charles F.
dc.contributor.authorPeterson, Karen E.
dc.date.accessioned2017-10-05T18:20:31Z
dc.date.available2018-12-03T15:34:04Zen
dc.date.issued2017-09
dc.identifier.citationPerng, Wei; Hector, Emily C.; Song, Peter X.K.; Tellez Rojo, Martha Maria; Raskind, Sasha; Kachman, Maureen; Cantoral, Alejandra; Burant, Charles F.; Peterson, Karen E. (2017). "Metabolomic Determinants of Metabolic Risk in Mexican Adolescents." Obesity 25(9): 1594-1602.
dc.identifier.issn1930-7381
dc.identifier.issn1930-739X
dc.identifier.urihttps://hdl.handle.net/2027.42/138425
dc.publisherWiley Periodicals, Inc.
dc.publisherHarvard University Press
dc.titleMetabolomic Determinants of Metabolic Risk in Mexican Adolescents
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelEndocrinology
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/138425/1/oby21926.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/138425/2/oby21926_am.pdf
dc.identifier.doi10.1002/oby.21926
dc.identifier.sourceObesity
dc.identifier.citedreferenceMoore SC, Matthews CE, Sampson JN, et al. Human metabolic correlates of body mass index. Metabolomics 2014; 10: 259 ‐ 269.
dc.identifier.citedreferenceViitasalo A, Lakka TA, Laaksonen DE, et al. Validation of metabolic syndrome score by confirmatory factor analysis in children and adults and prediction of cardiometabolic outcomes in adults. Diabetologia 2014; 57: 940 ‐ 949.
dc.identifier.citedreferenceTanner JM. Chapter 5: Puberty. Foetus into Man. Cambridge: Harvard University Press; 1978: 58 ‐ 74.
dc.identifier.citedreferenceVega‐Lopez S, Ausman LM, Jalbert SM, Erkkila AT, Lichtenstein AH. Palm and partially hydrogenated soybean oils adversely alter lipoprotein profiles compared with soybean and canola oils in moderately hyperlipidemic subjects. Am J Clin Nutr 2006; 84: 54 ‐ 62.
dc.identifier.citedreferenceLiang J, Fu J, Jiang Y, Dong G, Wang X, Wu W. TriGlycerides and high‐density lipoprotein cholesterol ratio compared with homeostasis model assessment insulin resistance indexes in screening for metabolic syndrome in the Chinese obese children: a cross section study. BMC Pediatr 2015; 15: 138. doi: 10.1186/s12887-015-0456-y
dc.identifier.citedreferenceBergman BC, Hunerdosse DM, Kerege A, Playdon MC, Perreault L. Localisation and composition of skeletal muscle diacylglycerol predicts insulin resistance in humans. Diabetologia 2012; 55: 1140 ‐ 1150.
dc.identifier.citedreferenceGriffin ME, Marcucci MJ, Cline GW, et al. Free fatty acid‐induced insulin resistance is associated with activation of protein kinase C theta and alterations in the insulin signaling cascade. Diabetes 1999; 48: 1270 ‐ 1274.
dc.identifier.citedreferenceDownes CP, Macphee CH. Myo‐inositol metabolites as cellular signals. Eur J Biochem 1990; 193: 1 ‐ 18.
dc.identifier.citedreferenceOrtmeyer HK. Dietary myoinositol results in lower urine glucose and in lower postprandial plasma glucose in obese insulin resistant rhesus monkeys. Obesity Res 1996; 4: 569 ‐ 575.
dc.identifier.citedreferenceOstlund RE, Jr., McGill JB, Herskowitz I, Kipnis DM, Santiago JV, Sherman WR. D‐chiro‐inositol metabolism in diabetes mellitus. Proc Natl Acad Sci U S A 1993; 90: 9988 ‐ 9992.
dc.identifier.citedreferenceGlantzounis GK, Tsimoyiannis EC, Kappas AM, Galaris DA. Uric acid and oxidative stress. Curr Pharm Des 2005; 11: 4145 ‐ 4151.
dc.identifier.citedreferenceLu W, Xu Y, Shao X, et al. Uric acid produces an inflammatory response through activation of NF‐kappaB in the hypothalamus: implications for the pathogenesis of metabolic disorders. Sci Rep 2015; 5: 12144. doi: 10.1038/srep12144
dc.identifier.citedreferenceLustgarten MS, Price LL, Chalé A, Fielding RA. Metabolites related to gut bacterial metabolism, peroxisome proliferator‐activated receptor‐alpha activation, and insulin sensitivity are associated with physical function in functionally‐limited older adults. Aging Cell 2014; 13: 918 ‐ 925.
dc.identifier.citedreferenceLattimer JM, Haub MD. Effects of dietary fiber and its components on metabolic health. Nutrients 2010; 2: 1266 ‐ 1289.
dc.identifier.citedreferenceJabłońska‐Trypuć A, Pankiewicz W, Czerpak R. Traumatic acid reduces oxidative stress and enhances collagen biosynthesis in cultured human skin fibroblasts. Lipids 2016; 51: 1021 ‐ 1035.
dc.identifier.citedreferenceShi CX, Zhao MX, Shu XD, et al. beta‐aminoisobutyric acid attenuates hepatic endoplasmic reticulum stress and glucose/lipid metabolic disturbance in mice with type 2 diabetes Sci Rep 2016; 6: 21924. doi: 10.1038/srep21924
dc.identifier.citedreferenceMohorko N, Petelin A, Jurdana M, Biolo G, Jenko‐Praznikar Z. Elevated serum levels of cysteine and tyrosine: early biomarkers in asymptomatic adults at increased risk of developing metabolic syndrome. Biomed Res Int 2015; 2015: 418681. doi: 10.1155/2015/418681
dc.identifier.citedreferenceHellmuth C, Kirchberg FF, Lass N, et al. Tyrosine is associated with insulin resistance in longitudinal metabolomic profiling of obese children. J Diabetes Res 2016; 2016: 2108909. doi: 10.1155/2016/2108909
dc.identifier.citedreferenceHevia H, Varela‐Rey M, Corrales FJ, et al. 5′‐methylthioadenosine modulates the inflammatory response to endotoxin in mice and in rat hepatocytes. Hepatology 2004; 39: 1088 ‐ 1098.
dc.identifier.citedreferenceMastrangelo A, Martos‐Moreno GA, Garcia A, et al. Insulin resistance in prepubertal obese children correlates with sex‐dependent early onset metabolomic alterations. Int J Obes (Lond) 2016; 40: 1494 ‐ 1502.
dc.identifier.citedreferenceNewbern D, Gumus Balikcioglu P, Balikcioglu M, et al. Sex differences in biomarkers associated with insulin resistance in obese adolescents: metabolomic profiling and principal components analysis. J Clin Endocrinol Metab 2014; 99: 4730 ‐ 4739.
dc.identifier.citedreferenceRauschert S, Uhl O, Koletzko B, et al. Sex differences in the association of phospholipids with components of the metabolic syndrome in young adults. Biol Sex Differ 2017; 8: 10. doi:10.1186/s13293‐017‐0131‐0
dc.identifier.citedreferenceGuasch‐Ferré M, Hruby A, Toledo E, et al. Metabolomics in prediabetes and diabetes: a systematic review and meta‐analysis. Diabetes Care 2016; 39: 833 ‐ 846.
dc.identifier.citedreferenceJuhola J, Magnussen CG, Viikari JS, et al. Tracking of serum lipid levels, blood pressure, and body mass index from childhood to adulthood: the Cardiovascular Risk in Young Finns Study. J Pediatr 2011; 159: 584 ‐ 590.
dc.identifier.citedreferenceZinner SH, Rosner B, Oh W, Kass EH. Significance of blood pressure in infancy. Familial aggregation and predictive effect on later blood pressure. Hypertension 1985; 7: 411 ‐ 416.
dc.identifier.citedreferenceIbanez L, Ong K, Dunger DB, de Zegher F. Early development of adiposity and insulin resistance after catch‐up weight gain in small‐for‐gestational‐age children. J Clin Endocrinol Metab 2006; 91: 2153 ‐ 2158.
dc.identifier.citedreferenceBao W, Srinivasan SR, Wattigney WA, Berenson GS. Persistence of multiple cardiovascular risk clustering related to syndrome X from childhood to young adulthood. The Bogalusa Heart Study. Arch Intern Med 1994; 154: 1842 ‐ 1847.
dc.identifier.citedreferenceSpalding KL, Arner E, Westermark PO, et al. Dynamics of fat cell turnover in humans. Nature 2008; 453: 783 ‐ 787.
dc.identifier.citedreferenceMihalik SJ, Michaliszyn SF, de las Heras J, et al. Metabolomic profiling of fatty acid and amino acid metabolism in youth with obesity and type 2 diabetes: evidence for enhanced mitochondrial oxidation. Diabetes Care 2012; 35: 605 ‐ 611.
dc.identifier.citedreferenceMichaliszyn SF, Sjaarda LA, Mihalik SJ, et al. Metabolomic profiling of amino acids and beta‐cell function relative to insulin sensitivity in youth. J Clin Endocrinol Metab 2012; 97: E2119 ‐ E2124.
dc.identifier.citedreferenceMcCormack SE, Shaham O, McCarthy MA, et al. Circulating branched‐chain amino acid concentrations are associated with obesity and future insulin resistance in children and adolescents. Pediatric Obes 2013; 8: 52 ‐ 61.
dc.identifier.citedreferenceWahl S, Yu Z, Kleber M, et al. Childhood obesity is associated with changes in the serum metabolite profile. Obes Facts 2012; 5: 660 ‐ 670.
dc.identifier.citedreferenceNewgard CB, An J, Bain JR, et al. A branched‐chain amino acid‐related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab 2009; 9: 311 ‐ 326.
dc.identifier.citedreferenceWang TJ, Larson MG, Vasan RS, et al. Metabolite profiles and the risk of developing diabetes. Nat Med 2011; 17: 448 ‐ 453.
dc.identifier.citedreferencePerng W, Gillman MW, Fleisch AF, et al. Metabolomic profiles and childhood obesity. Obesity (Silver Spring) 2014; 22: 2570 ‐ 2578.
dc.identifier.citedreferenceButte NF, Liu Y, Zakeri IF, et al. Global metabolomic profiling targeting childhood obesity in the Hispanic population. Am J Clin Nutr 2015; 102: 256 ‐ 267.
dc.identifier.citedreferenceLenaers E, De Feyter HM, Hoeks J, et al. Adaptations in mitochondrial function parallel, but fail to rescue, the transition to severe hyperglycemia and hyperinsulinemia: a study in Zucker diabetic fatty rats. Obesity (Silver Spring) 2010; 18: 1100 ‐ 1107.
dc.identifier.citedreferenceLee JM. Why young adults hold the key to assessing the obesity epidemic in children. Arch Pediatr Adolesc Med 2008; 162: 682 ‐ 687.
dc.identifier.citedreferenceHu H, Tellez‐Rojo MM, Bellinger D, et al. Fetal lead exposure at each stage of pregnancy as a predictor of infant mental development. Environ Health Perspect 2006; 114: 1730 ‐ 1735.
dc.identifier.citedreferenceBonser AM, Garcia‐Webb P. C‐peptide measurement: methods and clinical utility. Crit Rev Clin Lab Sci 1984; 19: 297 ‐ 352.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
oby21926.pdf
Size:
215.4KB
Format:
PDF
View/Open
Name:
oby21926_am.pdf
Size:
935.4KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.