1.3. Justificación 1.8.2.2. Escuelas o corrientes del pensamiento administrativo 31 Short-Term Changes in Habitual Diet. Nutrients. 2019;11(10). Epub 2019/10/12. doi: 10.3390/nu11102407. PubMed PMID: 31600930. 72. Sato S, Parr EB, Devlin BL, Hawley JA, Sassone-Corsi P. Human metabolomics reveal daily variations under nutritional challenges specific to serum and skeletal muscle. Mol Metab. 2018;16:1-11. Epub 2018/10/09. doi: 10.1016/j.molmet.2018.06.008. PubMed PMID: 30293576; PMCID: PMC6157466. 73. Halama A, Aye MM, Dargham SR, Kulinski M, Suhre K, Atkin SL. Metabolomics of Dynamic Changes in Insulin Resistance Before and After Exercise in PCOS. Front Endocrinol (Lausanne). 2019;10:116. Epub 2019/03/16. doi: 10.3389/fendo.2019.00116. PubMed PMID: 30873121; PMCID: PMC6400834. 74. O'Gorman A, Brennan L. Metabolomic applications in nutritional research: a perspective. J Sci Food Agric. 2015;95(13):2567-70. Epub 2015/02/03. doi: 10.1002/jsfa.7070. PubMed PMID: 25640072. 75. Potischman N, Freudenheim JL. Biomarkers of nutritional exposure and nutritional status: an overview. J Nutr. 2003;133 Suppl 3:873S-4S. PubMed PMID: 12612172. 76. Winnike JH, Busby MG, Watkins PB, O'Connell TM. Effects of a prolonged standardized diet on normalizing the human metabolome. Am J Clin Nutr. 2009;90(6):1496-501. doi: 10.3945/ajcn.2009.28234. PubMed PMID: 19864408; PMCID: PMC2777465. 77. Bouchard-Mercier A, Paradis AM, Rudkowska I, Lemieux S, Couture P, Vohl MC. Associations between dietary patterns and gene expression profiles of healthy men and women: a cross-sectional study. Nutr J. 2013;12:24. doi: 10.1186/1475-2891-12-24. PubMed PMID: 23398686; PMCID: PMC3598224. 78. McCullough ML, Maliniak ML, Stevens VL, Carter BD, Hodge RA, Wang Y. Metabolomic markers of healthy dietary patterns in US postmenopausal women. Am J Clin Nutr. 2019;109(5):1439-51. Epub 2019/05/06. doi: 10.1093/ajcn/nqy385. PubMed PMID: 31051511. 79. Peré-Trepat E, Ross AB, Martin F-P, Rezzi S, Kochhar S, Hasselbalch AL, Kyvik KO, Sørensen TIA. Chemometric strategies to assess metabonomic imprinting of food habits in epidemiological studies. Chemometrics and Intelligent Laboratory Systems. 2010;104(1):95-100. doi: http://dx.doi.org/10.1016/j.chemolab.2010.06.001. 80. Floegel A, von Ruesten A, Drogan D, Schulze MB, Prehn C, Adamski J, Pischon T, Boeing H. Variation of serum metabolites related to habitual diet: a targeted metabolomic approach in EPIC-Potsdam. Eur J Clin Nutr. 2013;67(10):1100-8. doi: 10.1038/ejcn.2013.147. PubMed PMID: 23942179. 81. Heinzmann SS, Brown IJ, Chan Q, Bictash M, Dumas ME, Kochhar S, Stamler J, Holmes E, Elliott P, Nicholson JK. Metabolic profiling strategy for discovery of nutritional 32 biomarkers: proline betaine as a marker of citrus consumption. Am J Clin Nutr. 2010;92(2):436- 43. doi: 10.3945/ajcn.2010.29672. PubMed PMID: 20573794; PMCID: PMC2904656. 82. Lindqvist HM, Radjursoga M, Malmodin D, Winkvist A, Ellegard L. Serum metabolite profiles of habitual diet: evaluation by 1H-nuclear magnetic resonance analysis. Am J Clin Nutr. 2019;110(1):53-62. Epub 2019/05/28. doi: 10.1093/ajcn/nqz032. PubMed PMID: 31127814; PMCID: PMC6885523. 83. Davy KP, Davy BM. Advances in Nutrition Science and Integrative Physiology: Insights From Controlled Feeding Studies. Frontiers in Physiology. 2019;10(1341). doi: 10.3389/fphys.2019.01341. 84. Guasch-Ferre M, Bhupathiraju SN, Hu FB. Use of Metabolomics in Improving Assessment of Dietary Intake. Clin Chem. 2018;64(1):82-98. Epub 2017/10/19. doi: 10.1373/clinchem.2017.272344. PubMed PMID: 29038146; PMCID: PMC5975233. 85. Heinzmann SS, Merrifield CA, Rezzi S, Kochhar S, Lindon JC, Holmes E, Nicholson JK. Stability and robustness of human metabolic phenotypes in response to sequential food challenges. J Proteome Res. 2012;11(2):643-55. doi: 10.1021/pr2005764. PubMed PMID: 21999107. 86. Llorach R, Urpi-Sarda M, Jauregui O, Monagas M, Andres-Lacueva C. An LC-MS-based metabolomics approach for exploring urinary metabolome modifications after cocoa consumption. J Proteome Res. 2009;8(11):5060-8. doi: 10.1021/pr900470a. PubMed PMID: 19754154. 87. van Velzen EJ, Westerhuis JA, van Duynhoven JP, van Dorsten FA, Grun CH, Jacobs DM, Duchateau GS, Vis DJ, Smilde AK. Phenotyping tea consumers by nutrikinetic analysis of polyphenolic end-metabolites. J Proteome Res. 2009;8(7):3317-30. doi: 10.1021/pr801071p. PubMed PMID: 19374449. 88. Lloyd AJ, Fave G, Beckmann M, Lin W, Tailliart K, Xie L, Mathers JC, Draper J. Use of mass spectrometry fingerprinting to identify urinary metabolites after consumption of specific foods. Am J Clin Nutr. 2011;94(4):981-91. doi: 10.3945/ajcn.111.017921. PubMed PMID: 21865330. 89. Stalmach A, Mullen W, Barron D, Uchida K, Yokota T, Cavin C, Steiling H, Williamson G, Crozier A. Metabolite profiling of hydroxycinnamate derivatives in plasma and urine after the ingestion of coffee by humans: identification of biomarkers of coffee consumption. Drug Metab Dispos. 2009;37(8):1749-58. doi: 10.1124/dmd.109.028019. PubMed PMID: 19460943. 90. Ito H, Gonthiera MP, Manach C, Morand C, Mennen L, Remesy C, Scalbert A. High- throughput profiling of dietary polyphenols and their metabolites by HPLC-ESI-MS-MS in human urine. Biofactors. 2004;22(1-4):241-3. PubMed PMID: 15630290. 33 91. Ross AB, Svelander C, Undeland I, Pinto R, Sandberg AS. Herring and Beef Meals Lead to Differences in Plasma 2-Aminoadipic Acid, beta-Alanine, 4-Hydroxyproline, Cetoleic Acid, and Docosahexaenoic Acid Concentrations in Overweight Men. J Nutr. 2015;145(11):2456-63. doi: 10.3945/jn.115.214262. PubMed PMID: 26400963. 92. Solanky KS, Bailey NJ, Beckwith-Hall BM, Davis A, Bingham S, Holmes E, Nicholson JK, Cassidy A. Application of biofluid 1H nuclear magnetic resonance-based metabonomic techniques for the analysis of the biochemical effects of dietary isoflavones on human plasma profile. Anal Biochem. 2003;323(2):197-204. PubMed PMID: 14656525. 93. Tulipani S, Llorach R, Jauregui O, Lopez-Uriarte P, Garcia-Aloy M, Bullo M, Salas- Salvado J, Andres-Lacueva C. Metabolomics unveils urinary changes in subjects with metabolic syndrome following 12-week nut consumption. J Proteome Res. 2011;10(11):5047-58. doi: 10.1021/pr200514h. PubMed PMID: 21905751. 94. Bertram HC, Hoppe C, Petersen BO, Duus JO, Molgaard C, Michaelsen KF. An NMR- based metabonomic investigation on effects of milk and meat protein diets given to 8-year-old boys. Br J Nutr. 2007;97(4):758-63. doi: 10.1017/S0007114507450322. PubMed PMID: 17349089. 95. Piccolo BD, Comerford KB, Karakas SE, Knotts TA, Fiehn O, Adams SH. Whey protein supplementation does not alter plasma branched-chained amino acid profiles but results in unique metabolomics patterns in obese women enrolled in an 8-week weight loss trial. J Nutr. 2015;145(4):691-700. doi: 10.3945/jn.114.203943. PubMed PMID: 25833773. 96. Hjerpsted JBR, C.; Schou, S.S.;Thostrup, T.; Dragsted, L.O. Effect of cheese and butter intake on metabolites in urine using an untargeted metabolomics approach. Metabolomics. 2014;10(0). doi: 10.1007/s11306-014-0657-7. 97. Edmands WM, Beckonert OP, Stella C, Campbell A, Lake BG, Lindon JC, Holmes E, Gooderham NJ. Identification of human urinary biomarkers of cruciferous vegetable consumption by metabonomic profiling. J Proteome Res. 2011;10(10):4513-21. doi: 10.1021/pr200326k. PubMed PMID: 21770373. 98. Martin FP, Rezzi S, Pere-Trepat E, Kamlage B, Collino S, Leibold E, Kastler J, Rein D, Fay LB, Kochhar S. Metabolic effects of dark chocolate consumption on energy, gut microbiota, and stress-related metabolism in free-living subjects. J Proteome Res. 2009;8(12):5568-79. doi: 10.1021/pr900607v. PubMed PMID: 19810704. 99. Stella C, Beckwith-Hall B, Cloarec O, Holmes E, Lindon JC, Powell J, van der Ouderaa F, Bingham S, Cross AJ, Nicholson JK. Susceptibility of human metabolic phenotypes to dietary modulation. J Proteome Res. 2006;5(10):2780-8. doi: 10.1021/pr060265y. PubMed PMID: 17022649. 34 100. Cross AJ, Major JM, Sinha R. Urinary biomarkers of meat consumption. Cancer Epidemiol Biomarkers Prev. 2011;20(6):1107-11. doi: 10.1158/1055-9965.EPI-11-0048. PubMed PMID: 21527577; PMCID: PMC3111815. 101. Rubio-Aliaga I, Roos B, Sailer M, McLoughlin GA, Boekschoten MV, van Erk M, Bachmair EM, van Schothorst EM, Keijer J, Coort SL, Evelo C, Gibney MJ, Daniel H, Muller M, Kleemann R, Brennan L. Alterations in hepatic one-carbon metabolism and related pathways following a high-fat dietary intervention. Physiol Genomics. 2011;43(8):408-16. doi: 10.1152/physiolgenomics.00179.2010. PubMed PMID: 21303933. 102. Fave G, Beckmann M, Lloyd AJ, Zhou S, Harold G, Lin W, Tailliart K, Xie L, Draper J, Mathers JC. Development and validation of a standardized protocol to monitor human dietary exposure by metabolite fingerprinting of urine samples. Metabolomics. 2011;7(4):469-84. doi: 10.1007/s11306-011-0289-0. PubMed PMID: 22039364; PMCID: PMC3193537. 103. O'Sullivan A, Gibney MJ, Brennan L. Dietary intake patterns are reflected in In document Gestión pedagógica en el proceso formativo de los estudiantes del bachillerato general unificado de los colegios centrales del distrito Pujilí-Saquisilí, provincia de Cotopaxi, en el año lectivo 2014-2015. Propuesta proyecto de capacitación docente. (página 34-38)