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Effects of time delays in a mathematical bone model |
Li-Fang Wang(王莉芳)1, Kang Qiu(仇康)1,2, Ya Jia(贾亚)1 |
1 Institute of Biophysics and Department of Physics, Central China Normal University, Wuhan 430079, China; 2 Department of Mathematics and Physics, Xuzhou Medical University, Xuzhou 221004, China |
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Abstract In this paper we propose a mathematical model of bone remodeling with time delays of both osteoclast-derived paracrine signaling of tumor and tumor-derived paracrine signaling of osteoclast. The effects of time delays on the growth of tumor cells and bone system are studied in multiple myeloma-induced bone disease. In the case of small osteoclast-derived paracrine signaling, it is found that the growth of tumor cells slows down, the oscillation period of the ratio of osteoclasts to osteoblasts is extended with increasing time delay, and there is a competition between the delay and osteoclast-derived paracrine signaling. In the case of large tumor-derived paracrine signaling, the tumor-derived paracrine signaling can induce a more significant decline in tumor growth for long time delay, and thus slowing down the progression of bone disease. There is an optimal coupling between the tumor-derived paracrine signaling of osteoclasts and time delay during the progressions of bone diseases, which suppresses the tumor growth and the regression of bone disease.
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Received: 09 November 2016
Revised: 12 December 2016
Accepted manuscript online:
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PACS:
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05.45.-a
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(Nonlinear dynamics and chaos)
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87.17.Aa
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(Modeling, computer simulation of cell processes)
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87.18.Vf
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(Systems biology)
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Fund: Project supported by the National Natural Science Foundation of China (Grant No. 11474117). |
Corresponding Authors:
Ya Jia
E-mail: jiay@phy.ccnu.edu.cn
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Cite this article:
Li-Fang Wang(王莉芳), Kang Qiu(仇康), Ya Jia(贾亚) Effects of time delays in a mathematical bone model 2017 Chin. Phys. B 26 030503
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[1] |
Reddy D V R, Sen A and Johnston G L 1998 Phys. Rev. Lett. 80 5109
|
[2] |
Zhang M M, Wang C J, and Mei D C 2011 Chin. Phys. B 20 110501
|
[3] |
Zou W, Senthilkumar D V, Zhan M and Kurths J 2013 Phys. Rev. Lett. 111 014101
|
[4] |
Hossein G N, Asad A and Morteza K 2013 Chin. Phys. B 22 070502
|
[5] |
Wünsche H J, Bauer S, Kreissl J, Ushakov O, Korneyev N, Henneberger F, Wille E, Erzgräber H, Peil M, Elsäßer W and Fischer I 2005 Phys. Rev. Lett. 94 163901
|
[6] |
Franović I, Todorović K, Vasović N and Burić N 2012 Phys. Rev. Lett. 108 094101
|
[7] |
Sun W, Chen Z and Kang Y H 2012 Chin. Phys. B 21 010504
|
[8] |
Wang B Y and Gong Y B 2015 Chin. Phys. B 24 118702
|
[9] |
Corrado C, Raimondo S, Chiesi A, Ciccia F, De Leo G and Alessandro R 2013 Int. J. Mol. Sci. 14 5338
|
[10] |
Ferlay J, Steliarova-Foucher E, Lortet-Tieulent J, Rosso S, Coebergh J W, Comber H, Forman D and Bray F 2013 Eur. J. Cancer 49 1374
|
[11] |
Raimondi L, De Luca A, Amodio N, et al. 2015 Oncotarget 6 13772
|
[12] |
Wang Y, Pivonka P, Buenzli P R, Smith D W and Dunstan C R 2011 PLoS One 6 e27494
|
[13] |
Wang Y and Lin B 2012 PLoS One 7 e44868
|
[14] |
Lawson M A, McDonald M M, Kovacic N, et al. 2015 Nat. Commun. 6 8983
|
[15] |
Ghobrial I M 2013 Leuk Lymphoma 54 2328
|
[16] |
Zangari M and Suva L J 2016 Bone 86 131
|
[17] |
Dimopoulos M A, Terpos E, Niesvizky R and Palumbo A 2015 Cancer Treat. Rev. 41 827
|
[18] |
Laubach J, Garderet L, Mahindra A, et al. 2016 Leukemia 30 1005
|
[19] |
Komarova S V, Smith R J, Dixon S J, Sims S M and Wahl L M 2003 Bone 33 206
|
[20] |
Ayati B P, Edwards C M, Webb G F and Wikswo J P 2010 Biol. Direct 5 1
|
[21] |
Koenders M A and Saso R 2016 J. Theor. Biol. 390 73
|
[22] |
Buenzli P R, Pivonka P, Gardiner B S and Smith D W 2012 J. Theor. Biol. 307 42
|
[23] |
Kim S W, Pajevic P D, Selig M, Barry K J, Yang J Y, Shin C S, Baek W Y, Kim J E, Kronenberg H M 2012 J. Bone Miner. Res. 27 2075
|
[24] |
Park D, Hoggatt J, Ferraro F and Scadden D T 2013 Osteoporosis, fourth ed. (Amsterdam: Elsevier)
|
[25] |
Raggatt L J and Partridge N C 2010 J. Biol. Chem. 285 25103
|
[26] |
Hadjidakis D J and Androulakis I I 2006 Ann. New York Acad. Sci. 1092 385
|
[27] |
Terposa E and Christoulas D 2013 Bonekey Rep. 2 395
|
[28] |
Savageau M A 1976 Biochemical Systems Analysis: a Study of Function and Design in Molecular Biology (Massachusetts: Addison-Wesley)
|
[29] |
Longo V, Brunetti O, D'Oronzo S, Dammacco F and Silvestris F 2012 Cancer Treat. Rev. 38 787
|
[30] |
Camacho D F and Pienta K J 2014 Cancer Metast. Rev. 33 545
|
[31] |
Van Acker H H, Anguille S, Willemen Y, Smits E L and Van Tendeloo V F 2016 Pharmacol. Ther. 158 24
|
[34] |
Sonneveld P, Schmidt-Wolf I G H, van der Holt B, et al. 2012 J. Clin. Oncol. 30 2946
|
[35] |
Mai E K, Bertsch U, Dürig J, et al. 2015 Leukemia 29 1721
|
[36] |
Alexandrakis M G, Passam F H, Malliaraki N, Katachanakis C, Kyriakou D S and Margioris A N 2002 Clin. Chim. Acta 325 51
|
[37] |
Terpos E, Szydlo R, Apperley J F, Hatjiharissi E, Politou M, Meletis J, Viniou N, Yataganas X, Goldman J M and Rahemtulla A 2003 Blood 102 1064
|
[38] |
Gunn W G, Conley A, Deininger L, Olson S D, Prockop D J and Gregory C A 2006 Stem Cells 24 986
|
[39] |
Tian E, Zhan F, Walker R, Rasmussen E, Ma Y, Barlogie B and Shaughnessy Jr J D 2003 N. Engl. J. Med. 349 2483
|
[40] |
Diarra D, Stolina M, Polzer K, et al. 2007 Nat. Med. 13 156
|
[41] |
Qiang Y W, Chen Y, Stephens O, Brown N, Chen B, Epstein J, Barlogie B and Shaughnessy Jr J D 2008 Blood 112 196
|
[43] |
Croucher P I, McDonald M M and Martin T J 2016 Nat. Rev. Cancer 16 373
|
[44] |
Yaccoby S, Ling W, Zhan F, Walker R, Barlogie B and Shaughnessy Jr J D 2007 Blood 109 2106
|
[45] |
Yaccoby S, Wezeman M J, Henderson A, Cottler-Fox M, Yi Q, Barlogie B and Epstein J 2004 Cancer Res. 64 2016
|
[46] |
Krishnan V, Vogler E A, Sosnoski D M and Mastro A M 2014 J. Cell. Physiol. 229 453
|
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