참고문헌
- Arguello, G., Balboa, E., Arrese, M. and Zanlungo, S. (2015) Recent insights on the role of cholesterol in non-alcoholic fatty liver disease. Biochim. Biophys. Acta 1852, 1765-1778. https://doi.org/10.1016/j.bbadis.2015.05.015
- Cani, P. D., Bibiloni, R., Knauf, C., Waget, A., Neyrinck, A. M., Delzenne, N. M. and Burcelin, R. (2008) Changes in gut microbiota control metabolic endotoxemia-induced inflammation in high-fat diet-induced obesity and diabetes in mice. Diabetes 57, 1470-1481. https://doi.org/10.2337/db07-1403
- Cavill, R., Jennen, D., Kleinjans, J. and Briede, J. J. (2016) Transcriptomic and metabolomic data integration. Brief. Bioinform. 17, 891-901. https://doi.org/10.1093/bib/bbv090
- Clarke, G. M., Anderson, C. A., Pettersson, F. H., Cardon, L. R., Morris, A. P. and Zondervan, K. T. (2011) Basic statistical analysis in genetic case-control studies. Nat. Protoc. 6, 121-133. https://doi.org/10.1038/nprot.2010.182
- Darwish, R. S., Amiridze, N. and Aarabi, B. (2007) Nitrotyrosine as an oxidative stress marker: evidence for involvement in neurologic outcome in human traumatic brain injury. J. Trauma 63, 439-442. https://doi.org/10.1097/TA.0b013e318069178a
- Gao, Y., Lu, Y., Huang, S., Gao, L., Liang, X., Wu, Y., Wang, J., Huang, Q., Tang, L., Wang, G., Yang, F., Hu, S., Chen, Z., Wang, P., Jiang, Q., Huang, R., Xu, Y., Yang, X. and Ong, C. N. (2014) Identifying early urinary metabolic changes with long-term environmental exposure to cadmium by mass-spectrometry-based metabolomics. Environ. Sci. Technol. 48, 6409-6418. https://doi.org/10.1021/es500750w
- Gomez-Cabrero, D., Abugessaisa, I., Maier, D., Teschendorff, A., Merkenschlager, M., Gisel, A., Ballestar, E., Bongcam-Rudloff, E., Conesa, A. and Tegner, J. (2014) Data integration in the era of omics: current and future challenges. BMC Syst. Biol. 8 Suppl 2, I1.
- Hariri, N. and Thibault, L. (2010) High-fat diet-induced obesity in animal models. Nutr. Res. Rev. 23, 270-299. https://doi.org/10.1017/S0954422410000168
- Hassan, K., Bhalla, V., El Regal, M. E. and A-Kader, H. H. (2014) Nonalcoholic fatty liver disease: a comprehensive review of a growing epidemic. World J. Gastroenterol. 20, 12082-12101. https://doi.org/10.3748/wjg.v20.i34.12082
- Horgan, R. P. and Kenny, L. C. (2011) 'Omic' technologies: genomics, transcriptomics, proteomics and metabolomics. TOG 13, 189-195. https://doi.org/10.1576/toag.13.3.189.27672
- Hwang, I., Lee, J., Huh, J. Y., Park, J., Lee, H. B., Ho, Y. S. and Ha, H. (2012) Catalase deficiency accelerates diabetic renal injury through peroxisomal dysfunction. Diabetes 61, 728-738. https://doi.org/10.2337/db11-0584
- Kuehl, F. A., Jr. and Egan, R. W. (1980) Prostaglandins, arachidonic acid, and inflammation. Science 210, 978-984. https://doi.org/10.1126/science.6254151
- Li, T., Francl, J. M., Boehme, S. and Chiang, J. Y. (2013) Regulation of cholesterol and bile acid homeostasis by the cholesterol 7alphahydroxylase/steroid response element-binding protein 2/microRNA-33a axis in mice. Hepatology 58, 1111-1121. https://doi.org/10.1002/hep.26427
- Lin, S., Thomas, T., Storlien, L. and Huang, X. (2000) Development of high fat diet-induced obesity and leptin resistance in C 57 Bl/6 J mice. Int. J. Obes. Relat. Metab. Disord. 24, 639-646. https://doi.org/10.1038/sj.ijo.0801209
- Machado, M. V., Michelotti, G. A., Xie, G., Almeida Pereira, T., Boursier, J., Bohnic, B., Guy, C. D. and Diehl, A. M. (2015) Mouse models of diet-induced nonalcoholic steatohepatitis reproduce the heterogeneity of the human disease. PLoS ONE 10, e0127991. https://doi.org/10.1371/journal.pone.0127991
- Mouzaki, M., Wang, A. Y., Bandsma, R., Comelli, E. M., Arendt, B. M., Zhang, L., Fung, S., Fischer, S. E., McGilvray, I. G. and Allard, J. P. (2016) Bile acids and dysbiosis in non-alcoholic fatty liver disease. PLoS ONE 11, e0151829. https://doi.org/10.1371/journal.pone.0151829
- Nakahata, N. (2008) Thromboxane A2: physiology/pathophysiology, cellular signal transduction and pharmacology. Pharmacol. Ther. 118, 18-35. https://doi.org/10.1016/j.pharmthera.2008.01.001
- Norris, A. W., Chen, L., Fisher, S. J., Szanto, I., Ristow, M., Jozsi, A. C., Hirshman, M. F., Rosen, E. D., Goodyear, L. J., Gonzalez, F. J., Spiegelman, B. M. and Kahn, C. R. (2003) Muscle-specific PPARgamma-deficient mice develop increased adiposity and insulin resistance but respond to thiazolidinediones. J. Clin. Invest. 112, 608-618. https://doi.org/10.1172/JCI17305
- Obuchowski, N. A. and Bullen, J. A. (2018) Receiver operating characteristic (ROC) curves: review of methods with applications in diagnostic medicine. Phys. Med. Biol. 63, 07TR01. https://doi.org/10.1088/1361-6560/aab4b1
- Panchal, S. K., Poudyal, H., Iyer, A., Nazer, R., Alam, A., Diwan, V., Kauter, K., Sernia, C., Campbell, F. and Ward, L. (2011) High-carbohydrate, high-fat diet-induced metabolic syndrome and cardiovascular remodeling in rats. J. Cardiovasc. Pharmacol. 57, 611-624. https://doi.org/10.1097/FJC.0b013e3181feb90a
- Park, Y. H., Fitzpatrick, A. M., Medriano, C. A. and Jones, D. P. (2016) High-resolution metabolomics to identify urine biomarkers in corticosteroid-resistant asthmatic children. J. Allergy Clin. Immunol. 139, 1518-1524.e4. https://doi.org/10.1016/j.jaci.2016.08.018
- Park, Y. H., Shi, Y. P., Liang, B., Medriano, C. A. D., Jeon, Y. H., Torres, E., Uppal, K., Slutsker, L. and Jones, D. P. (2015) High-resolution metabolomics to discover potential parasite-specific biomarkers in a Plasmodium falciparum erythrocytic stage culture system. Malar. J. 14, 122. https://doi.org/10.1186/s12936-015-0651-1
- Pasquali, M. A., Gelain, D. P., Zanotto-Filho, A., de Souza, L. F., de Oliveira, R. B., Klamt, F. and Moreira, J. C. (2008) Retinol and retinoic acid modulate catalase activity in Sertoli cells by distinct and gene expression-independent mechanisms. Toxicol. In Vitro 22, 1177-1183. https://doi.org/10.1016/j.tiv.2008.03.007
- Piao, L., Choi, J., Kwon, G. and Ha, H. (2017) Endogenous catalase delays high-fat diet-induced liver injury in mice. Korean J. Physiol. Pharmacol. 21, 317-325. https://doi.org/10.4196/kjpp.2017.21.3.317
- Rajasundaram, D. and Selbig, J. (2016) More effort - more results: recent advances in integrative 'omics' data analysis. Curr. Opin. Plant Biol. 30, 57-61. https://doi.org/10.1016/j.pbi.2015.12.010
- Ruhl, C. E. and Everhart, J. E. (2015) Fatty liver indices in the multiethnic United States National Health and Nutrition Examination Survey. Aliment. Pharmacol. Ther. 41, 65-76. https://doi.org/10.1111/apt.13012
- Singh, S., Allen, A. M., Wang, Z., Prokop, L. J., Murad, M. H. and Loomba, R. (2015) Fibrosis progression in nonalcoholic fatty liver vs nonalcoholic steatohepatitis: a systematic review and metaanalysis of paired-biopsy studies. Clin. Gastroenterol. Hepatol. 13, 643-54.e1-9; quiz e39-e40. https://doi.org/10.1016/j.cgh.2014.04.014
- Staels, B. and Fonseca, V. A. (2009) Bile acids and metabolic regulation: mechanisms and clinical responses to bile acid sequestration. Diabetes Care 32 Suppl 2, S237-S245. https://doi.org/10.2337/dc09-S355
- Stewart, J. D. and Bolt, H. M. (2011) Metabolomics: biomarkers of disease and drug toxicity. Arch. Toxicol. 85, 3-4. https://doi.org/10.1007/s00204-010-0635-4
- Stiles, A. R., McDonald, J. G., Bauman, D. R. and Russell, D. W. (2009) CYP7B1: one cytochrome P450, two human genetic diseases, and multiple physiological functions. J. Biol. Chem. 284, 28485-28489. https://doi.org/10.1074/jbc.R109.042168
- Videla, L. A., Rodrigo, R., Orellana, M., Fernandez, V., Tapia, G., Quinones, L., Varela, N., Contreras, J., Lazarte, R., Csendes, A., Rojas, J., Maluenda, F., Burdiles, P., Diaz, J. C., Smok, G., Thielemann, L. and Poniachik, J. (2004) Oxidative stress-related parameters in the liver of non-alcoholic fatty liver disease patients. Clin. Sci. (Lond.) 106, 261-268. https://doi.org/10.1042/CS20030285
- Want, E. J., O'Maille, G., Smith, C. A., Brandon, T. R., Uritboonthai, W., Qin, C., Trauger, S. A. and Siuzdak, G. (2006) Solvent-dependent metabolite distribution, clustering, and protein extraction for serum profiling with mass spectrometry. Anal. Chem. 78, 743-752. https://doi.org/10.1021/ac051312t
- Wolf, S., Schmidt, S., Muller-Hannemann, M. and Neumann, S. (2010) In silico fragmentation for computer assisted identification of metabolite mass spectra. BMC Bioinformatics 11, 148. https://doi.org/10.1186/1471-2105-11-148
- Yamato, M., Shiba, T., Ide, T., Seri, N., Kudo, W., Ando, M., Yamada, K., Kinugawa, S. and Tsutsui, H. (2012) High-fat diet-induced obesity and insulin resistance were ameliorated via enhanced fecal bile acid excretion in tumor necrosis factor-alpha receptor knockout mice. Mol. Cell. Biochem. 359, 161-167. https://doi.org/10.1007/s11010-011-1010-3
- Younossi, Z. M., Stepanova, M., Afendy, M., Fang, Y., Younossi, Y., Mir, H. and Srishord, M. (2011) Changes in the prevalence of the most common causes of chronic liver diseases in the United States from 1988 to 2008. Clin. Gastroenterol. Hepatol. 9, 524-530.e1; quiz e60. https://doi.org/10.1016/j.cgh.2011.03.020
- Yu, T., Park, Y., Johnson, J. M. and Jones, D. P. (2009) apLCMS-adaptive processing of high-resolution LC/MS data. Bioinformatics 25, 1930-1936. https://doi.org/10.1093/bioinformatics/btp291
- Yuan, L. and Bambha, K. (2015) Bile acid receptors and nonalcoholic fatty liver disease. World J. Hepatol. 7, 2811-2818. https://doi.org/10.4254/wjh.v7.i28.2811
피인용 문헌
- Mechanism of Chronic Kidney Disease Progression and Novel Biomarkers: A Metabolomic Analysis of Experimental Glomerulonephritis vol.10, pp.4, 2019, https://doi.org/10.3390/metabo10040169
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