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Diagnostyka wybranych chorób cywilizacyjnych z wykorzystaniem badań metabolomicznych

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Języki publikacji
PL
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Strony
24--28
Opis fizyczny
Bibliogr. 31 poz., 1 rys.
Twórcy
autor
  • Zakład Chemii Bioorganicznej, Wydział Chemiczny Politechnika Wrocławska, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław
Bibliografia
  • [1] Fiehn O. Metabolomics – the link between genotypes and phenotypes. Plant Mol Biol. 2002 Jan; 48(1-2):155-71.
  • [2] Roberts LD, Souza AL, Gerszten RE, Clish CB. Targeted Metabolomics. Current Protocols in Molecular Biology, 2012; Unit30.2. doi:10.1002/0471142727. mb3002s98.
  • [3] Dawiskiba T, Deja S, Mulak A, et al. Serum and urine metabolomics fingerprinting in diagnostics of inflammatory bowel disease. World Journal of Gastroenterology: WJG. 2014;20(1):163-174. doi:10.3748/wjg.v20.i1.163.
  • [4] S. Deja, I. Porebska, A. Kowal, et al, Metabolomics provide new insights on lung cancer staging and discrimination from chronic obstructive pulmonary disease, Journal of Pharmaceutical and Biomedical Analysis, Volume 100, November 2014, Pages 369-380, ISSN 0731-7085, http://dx.doi.org/10.1016/j.jpba.2014.08.020.
  • [5] Bag, S., Banerjee, D.R., Basak, A., Das, A.K., Pal, M., Banerjee, R., Paul, R.R., Chatterjee, J. NMR (1H and 13C) based signatures of abnormal choline metabolism in oral squamous cell carcinoma with no prominent Warburg effect, Biochemical and Biophysical Research Communications, 2015.
  • [6] Raffelt K, Moka, D, Sullentrop F, Dietlein M, Hahn J, Schicha H, Systemic alterations in phospoholipid concetrations of blood plasma in patients with thyroid carcinoma: an in vitro 31P high-resolution NMR study, NMR Biomed 2000 Jan;13(1):8-13.
  • [7] Ciborowski M, Teul J, Martin-Ventura JL, Egido J, Barbas C, Metabolomics with LC-QTOF-MS Permits the Prediction of Disease Stage in Aortic Abdominal Aneurysm Based on Plasma Metabolic Fingerprint. PLoS ONE 7(2): e31982, 2012, doi:10.1371/journal. pone.0031982
  • [8] Jing Chen, Xinjie Zhao, Jens Fritsche, Peiyuan Yin, Philippe Schmitt-Kopplin, Wenzhao Wang, Xin Lu, Hans Ulrich Haring, Erwin D. Schleicher, Rainer Lehmann, Guowang Xu, Practical Approach for the Identification and Isomer Elucidation of Biomarkers Detected in a Metabonomic Study for the Discovery of Individuals at Risk for Diabetes by Integrating the Chromatographic and Mass Spectrometric Information, Analytical Chemistry, 2008 80 (4), 1280-1289 DOI: 10.1021/ac702089h.
  • [9] Lin L, Huang Z, Gao Y, Yan X, Xing J, Hang W. LC-MS based serum metabonomic analysis for renal cell carcinoma diagnosis, staging, and biomarker discovery. J Proteome Res. 2011 Mar 4;10(3):1396-405. doi: 10.1021/pr101161u.
  • [10] Jiye A, Johan Trygg, Jonas Gullberg, Annika I. Johansson, Par Jonsson, Henrik Antti, Stefan L. Marklund, Thomas Moritz, Extraction and GC/MS Analysis of the Human Blood Plasma Metabolome, Analytical Chemistry, 2005 77 (24), 8086-8094 DOI:10.1021/ ac051211v.
  • [11] KIm, K., Aronov, P., Zakharkin, S.O., Anderson, D., Perroud, B., Thompson, I.M., Weiss, R.H. Urine metabolomics analysis for kidney cancer detection and biomarker discovery, Molecular and Cellular Proteomics, 2009, 8 (3), pp. 558-570.
  • [12] Bertram HC, Eggers N, Eller N., Potential of human saliva for nuclear magnetic resonance-based metabolomics and for health-related biomarker identification, Anal Chem. 2009 Nov 1;81(21):9188-93. doi: 10.1021/ac9020598.
  • [13] Deja S, Dawiskiba T, Balcerzak W, Orczyk-Pawiłowicz M, Głod M, et al. (2013) Follicular Adenomas Exhibit a Unique Metabolic Profile. 1H NMR Studies of Thyroid Lesions, PLoS ONE 8(12): e84637. doi: 10.1371/journal. pone.0084637.
  • [14] C. Ibanez, C. Simo, A. Valdes, L. Campone, A. L. Piccinelli, V. Garcia-Canas, A. Cifuentes, Metabolomics of adherent mammalian cells by capillary electrophoresis-mass spectrometry: HT-29 cells as case study, Journal of Pharmaceutical and Biomedical Analysis, Volume 110, 10 June 2015, Pages 83-92, ISSN 0731-7085, http://dx.doi.org/10.1016/j. jpba.2015.03.001.
  • [15] Nagana Gowda GA, Gowda YN, Raftery D. Expanding the limits of human blood metabolite quantitation using NMR spectroscopy, Anal Chem, 2015 Jan 6;87(1):706-15. doi: 10.1021/ac503651e.
  • [16] Huifeng Wu, Andrew D. Southam, Adam Hines, Mark R. Viant, High-throughput tissue extraction protocol for NMR- and MS-based metabolomics, Analytical Biochemistry, Volume 372, Issue 2, 15 January 2008, Pages 204-212, ISSN 0003-2697, http:// dx.doi.org/10.1016/j.ab.2007.10.002.
  • [17] Lin, C.Y., Wu, H., Tjeerdema, R.S., Viant, M.R. Evaluation of metabolite extraction strategies from tissue samples using NMR metabolomics, Metabolomics, 2007, 3 (1), pp. 55-67.
  • [18] Andre B. Canelas, Angela ten Pierick, Cor Ras, Reza M. Seifar, Jan C. van Dam, Walter M. van Gulik, and Joseph J. Heijnen, Quantitative Evaluation of Intracellular Metabolite Extraction Techniques for Yeast Metabolomics, Analytical Chemistry, 2009 81 (17), 7379-7389 DOI: 10.1021/ ac900999t.
  • [19] Madsen R, Lundstedt T, Trygg J. Chemometrics in metabolomics – a review in human disease diagnosis, Anal Chim Acta. 2010 Feb 5;659(1-2):23-33. doi:10.1016/j.aca.2009.11.042.
  • [20] Howe GM, Loraine JA, Environmental Medicine, Elsevier, 2013.
  • [21] Vermeersch KA, Styczynski MP. Application of metabolomics in cancer research, J Carcinog 2013; 12:9.
  • [22] Roberts MJ, Schirra HJ, Lavin MF, Gardiner RA., Metabolomics: a novel approach to early and noninvasive prostate cancer detection, Korean J Urol. 2011 Feb;52(2):79-89. doi:10.4111/ kju.2011.52.2.79.
  • [23] Kumar V, Dwivedi DK, Jagannathan NR. High-resolution NMR spectroscopy of human body fluids and tissues in relation to prostate cancer. NMR Biomed 2013; DOI:10.1002/ nbm.2979.
  • [24] Abbasi-Ghadi N, Kumar S, Huang J, Goldin R, Takats Z, Hanna GB. Metabolomic profiling of oesophago-gastric cancer: a systematic review, Eur J Cancer 2013 Jul 26 pii: S0959-8049(13)00548-0. doi: 10.1016/j.ejca.2013.07.004.
  • [25] Wheelock, C.E., Wheelock, A.M., Kawashima, S., Diez, D., Kanehisa, M., Van Erk, M., Kleemann, R., Haeggstrom, J.Z., Goto, S., Systems biology approaches and pathway tools for investigating cardiovascular disease, 2009, Molecular BioSystems, 5 (6), pp. 588-602, DOI: 10.1039/ b902356a
  • [26] Lewis, G. D., Asnani, A., Gerszten, R.E., Application of Metabolomics to Cardiovascular Biomarker and Pathway Discovery, 2008, Journal of the American College of Cardiology, 52 (2), pp. 117-123, DOI: 10.1016/j.jacc.2008.03.043.
  • [27] C. Wang, H. Kong, Y. Guan, J. Yang, J. Gu, S. Yang, G. Xu, Plasma Phospholipid Meta bolic Profiling and Biomarkers of Type 2 Diabetes Mellitus Based on High-Performance Liquid Chromatography / Electrospray Mass Spectrometry and MultivariateStatistical Analysis, Anal. Chem. 2005, 77, 4108-4116.
  • [28] Suhre K, Meisinger C, Doring A, Altmaier E, Belcredi P, et al., Metabolic Footprint of Diabetes: A Multiplatform Metabolomics Study in an Epidemiological Setting, 2010, PLoS ONE 5(11): e13953. doi: 10.1371/journal. pone.0013953.
  • [29] R. Wang‐Sattler, Z. Yu, c. Herder et al., Novel biomarkers for pre‐diabetes identified by metabolomics, Molecular Systems Biology, 2012, 8: 615, DOI 10.1038/msb.2012.43.
  • [30] Y. Gu, Y. Zhang, X. Shi, X. Li, J. Hong, J. Chen, W. Gu, X. Lu, G. Xu, G., Ning, Effect of traditional Chinese medicine berberine on type 2 diabetes based on comprehensive metabonomics, Talanta, Volume 81, Issue 3, 15 May 2010, Pages 766-772, ISSN 0039-9140, http://dx.doi.org/10.1016/j.talanta.2010.01.015.
  • [31] X. Zhang, Y. Wang, F. Hao, X. Zhou, X. Han, H. Tang, L. Ji, Human Serum Metabonomic Analysis Reveals Progression Axes for Glucose Intolerance and Insulin Resistance, Journal of Proteome Research, 2009 8 (11), 5188-5195DOI: 10.1021/ pr900524z/.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-57733cd4-2d8b-4b20-b153-a5c3790b2cc2
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