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Comparison of Urinary Proteomes Among Three Animal Models

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Abstract

Biomarkers are the monitorable changes associated with physiological or pathological changes. Urine is not regulated by the homeostatic mechanism and can reflect multiple changes in the body. Animal models can simulate human disease processes, monitor disease changes, and provide clues for early diagnosis. In this chapter, clues are provided for the dominant model animals associated with disease selection by comparing the urine proteome of rats, guinea pigs, and golden hamsters. The peptides were cleaved by membrane digestion and analyzed by LC-MS/MS. The number of urine proteins in the three different animals was different, and also different in every system of the body. This provides a basis for selecting the best animal models for different diseases.

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References

  • Basketter D. Skin sensitisation, adverse outcome pathways and alternatives. Altern Lab Anim. 2016;44(5):431–6.

    Article  Google Scholar 

  • Cambier L, Heinen MP, Mignon B. Relevant animal models in dermatophyte research. Mycopathologia. 2017;182(1/2):229–40.

    Article  CAS  Google Scholar 

  • Carter JL, Parker CT, Stevens PE, et al. Biological variation of plasma and urinary markers of acute kidney injury in patients with chronic kidney disease. Clin Chem. 2016;62(6):876–83.

    Article  CAS  Google Scholar 

  • Cui XX, Shang SC, Zhang XF, et al. Analysis and determination of blood biochemical parameters in mesocricetus auratus and albino mutant. Chin J Compar Med. 2014;24(1):31–4, 30 (in Chinese)

    CAS  Google Scholar 

  • Gao YH. Urine—an untapped goldmine for biomarker discovery? Sci China Life Sci. 2013;56(12):1145–6.

    Article  Google Scholar 

  • Gao YH. Urine is a better biomarker source than blood especially for kidney diseases. Adv Exp Med Biol. 2015;845:3–12.

    Article  Google Scholar 

  • Kawaura A, Tanida N, Akiyama J, et al. Inhibitory effect of 1α-hydroxyvitamin D3 on N-nitrosobis (2-oxopropyl) amine-induced cholangiocarcinogenesis in Syrian hamsters. Acta Med Okayama. 2011;65(3):193–7.

    CAS  PubMed  Google Scholar 

  • Mullen W, Gonzalez J, Siwy J, et al. A pilot study on the effect of short-term consumption of a polyphenol rich drink on biomarkers of coronary artery disease defined by urinary proteomics. J Agric Food Chem. 2011;59:12850–7.

    Article  CAS  Google Scholar 

  • Ni N, Wu JQ, Li L, et al. Comparison of urinary proteomes among rats, guinea pigs and golden hamsters. Chin J Biotechnol. 2018;34(4):578–85.

    Google Scholar 

  • Paapstel K, Zilmer M, Eha J, et al. Early biomarkers of renal damage in relation to arterial stiffness and inflammation in male coronary artery disease patients. Kidney Blood Press Res. 2016;41(4):488–97.

    Article  CAS  Google Scholar 

  • Ramírez-Ramírez E, Torres-Ramírez A, Alquicira-Mireles J, et al. Characteristic plethysmographic findings in a guinea pig model of COPD. Exp Lung Res. 2017;43(2):57–65.

    Article  Google Scholar 

  • Rosner MH. Urinary biomarkers for the detection of renal injury. Adv Clin Chem. 2009;49:73–97.

    Article  CAS  Google Scholar 

  • Takahashi M, Hori M, Mutoh M, et al. Experimental animal models of pancreatic carcinogenesis for prevention studies and their relevance to human disease. Cancers (Basel). 2011;3(1):582–602.

    Article  CAS  Google Scholar 

  • Vrooman OP, Witjes JA. Urinary markers in bladder cancer. Eur Urol. 2008;53:909–16.

    Article  Google Scholar 

  • Wu JQ, Gao YH. Physiological conditions can be reflected in human urine proteome and metabolome. Expert Rev Proteomics. 2015;12(6):623–36.

    Article  CAS  Google Scholar 

  • Zhao MD, Li ML, Li XD, et al. Dynamic changes of urinary proteins in a focal segmental glomerulosclerosis rat model. Proteome Sci. 2014;12:42.

    Article  Google Scholar 

  • Zhu X, Qiao Y, Liu WH, et al. CXCL5 is a potential diagnostic and prognostic marker for bladder cancer patients. Tumour Biol. 2016;37(4):4569–77.

    Article  CAS  Google Scholar 

  • Zimmerli LU, Schiffer E, Zürbig P, et al. Urinary proteomic biomarkers in coronary artery disease. Mol Cell Proteomics. 2008;7:290–8.

    Article  CAS  Google Scholar 

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Ni, N., Wu, J. (2019). Comparison of Urinary Proteomes Among Three Animal Models. In: Gao, Y. (eds) Urine. Springer, Singapore. https://doi.org/10.1007/978-981-13-9109-5_3

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