Abstract
Allometry or the quantitative study of the relationship of body size to living organism physiology is an important area of biophysical scaling research. The West-Brown-Enquist (WBE) model of fractal branching in a vascular network explains the empirical allometric Kleiber law (the ¾ scaling exponent for metabolic rates as a function of animal’s mass). The WBE model raises a number of new questions, such as how to account for capillary phenomena more accurately and what are more realistic dependencies for blood flow velocity on the size of a capillary. We suggest a generalized formulation of the branching model and investigate the ergodicity in the fractal vascular system. In general, the fluid flow in such a system is not ergodic, and ergodicity breaking is attributed to the fractal structure of the network. Consequently, the fractal branching may be viewed as a source of ergodicity breaking in biophysical systems, in addition to such mechanisms as aging and macromolecular crowding. Accounting for non-ergodicity is important for a wide range of biomedical applications where long observations of time series are impractical. The relevance to microfluidics applications is also discussed.
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References
Arnold V (1978) Mathematical methods of classical mechanics. Springer, New York
Arnold V, Avez A (1968) Ergodic problems of classical mechanics. Benjamin, New York
Banavar JR, Moses ME, Brown JH, Damuth J, Rinaldo A, Sibly RM, Maritan A (2010) A general basis for quarter-power scaling in animals. Proc Nat Acad Sci 107(36):15816–15820
Bejan A (2004) The constructal law of organization in nature: tree-shaped flows and body size. J Exp Biol 208:1677–1686
Bejan A (2012) Why the bigger live longer and travel farther: animals, vehicles, rivers and the winds. Sci Rep 2:594
Birkhoff G (1931) Proof of the ergodic theorem. Proc Natl Acad Sci 17:656–660
Bormashenko E, Voronel A (2018) Spatial scales of living cells and their energetic and informational capacity. Eur Biophys J 47(5):515–521
Brown JH, West GB, Enquist BJ (2005) Yes, West, Brown and Enquist’s model of allometric scaling is both mathematically correct and biologically relevant. Funct Ecol 19(4):735–738
De Lellis C, Székelyhidi L (2019) On turbulence and geometry: from Nash to Onsager. Not Am Math Soc 05:677–685
Eloy C (2011) Leonardo’s Rule, self-similarity, and wind-Induced stresses in trees. Phys Rev Lett 107:258101
Etienne RS, Apol ME, Olff HA (2006) Demystifying the West, Brown & Enquist model of the allometry of metabolism. Funct Ecol 20(2):394–399
Fabry B, Maksym GN, Butler JP, Glogauer M, Navajas D, Taback NA, Millet EJ, Fredberg JJ (2003) Time scale and other invariants of integrative mechanical behavior in living cells. Phys Rev E 68:041914
Fedorets AA, Bormashenko E, Dombrovsky LA, Nosonovsky M (2019a) Droplet clusters: nature-inspired biological reactors and aerosols Phil. Trans R Soc A 377(2150):20190121
Fedorets AA, Aktaev NE, Gabyshev DN, Bormashenko E, Dombrovsky LA, Nosonovsky M (2019b) Oscillatory motion of a droplet cluster. J Phys Chem C 123(38):23572–23576
Földes-Papp Z, Baumann G (2011) Fluorescence molecule counting for single-molecule studies in crowded environment of living cells without and with broken ergodicity. Curr Pharm Biotechnol 12(5):824–833. https://doi.org/10.2174/138920111795470949
Guzman-Sepulveda J, Argueta-Morales R, DeCampli WM, Dogariu A (2017) Real-time intraoperative monitoring of blood coagulability via coherence-gated light scattering. Nat Biomed Eng 1:0028. https://doi.org/10.1038/s41551-017-0028
Hasan A, Paul A, Vrana NE, Zhao X, Memic A, Hwang YS, Dokmeci MR, Khademhosseini A (2014) Microfluidic techniques for development of 3D vascularized tissue. Biomaterials 35:7308–7325
Hofling F, Franosch T (2013) Anomalous transport in the crowded world of biological cells. Rep Prog Phys 76:046602. https://doi.org/10.1088/0034-4885/76/4/046602
Hrnčíř E, Rosina J (1997) Surface tension of blood. Physiol Res 46(4):319–321
Kadanoff LP (2009) More is the same; phase transitions and mean field theories. J Stat Phys 137:777–797
Kleiber M (1932) Body size and metabolism. Hilgardia 6(11):315–351
Kleiber M (1947) Body size and metabolic rate. Physiol Rev 27(4):511–541
Kozlowski J, Konarzewski M (2004) Is West, Brown and Enquist’s model of allometric scaling mathematically correct and biologically relevant? Funct Ecol 18(2):283–289
Krishnan A, Wilson A, Sturgeon J, Siedleckia CA, Vogler EA (2005) Liquid–vapor interfacial tension of blood plasma, serum and purified protein constituents thereof. Biomaterials 26(17):3445–3453
Kulkarni AM, Dixit NM, Zukoski CF (2003) Ergodic and non-ergodic phase transitions in globular protein suspensions. Faraday Discuss 123:37–50
Lim MX, Souslov A, Vitelli V, Jaeger HM (2019) Cluster formation by acoustic forces and active fluctuations in levitated granular matter. Nat Phys 15:460–464
Maani N, Rayz VL, Nosonovsky M (2015) Biomimetic approaches for green tribology: from the lotus effect to blood flow control. Surf Topogr Metrol Prop 3:034001
Magdziarz M, Zorawik T (2019) Lamperti transformation - cure for ergodicity breaking. Commun Nonlinear Sci Numer Simulat 71:202–211
Manzo C, Torreno-Pina JA, Massignan P, Lapeyre GJ, Lewenstein M, Garcia Parajo MF (2015) Weak ergodicity breaking of receptor motion in living cells stemming from random diffusivity. Phys Rev X 5:011021
Marieb EN, Hoehn K (2013) The cardiovascular system: blood vessels, 9th edn. Human anatomy & physiology. Pearson Education, London, p 712
Nosonovsky M, Rohatgi PK (2012) Biomimetics in materials science: self-healing, self-lubricating, and self-cleaning materials. Springer, New York
Nosonovsky M, Roy P (2020) Scaling in colloidal and biological networks. Entropy 22(6):622
Ramachandran R, Maani N, Rayz VL, Nosonovsky M (2016) Vibrations and spatial patterns in biomimetic surfaces: using the shark-skin effect to control blood clotting. Phil Trans R Soc A 374:20160133
Rypina II, Scott SE, Pratt LJ, Brown MG (2011) Investigating the connection between complexity of isolated trajectories and Lagrangian coherent structures. Nonlinear Process Geophys 18:977–987
Savage VM, Gillooly JF, Woodruff WH, West GB, Allen AP, Enquist BJ, Brown JH (2004) The predominance of quarter-power scaling in biology. Funct Ecol 18(2):257–282
Savage VM, Deeds EJ, Fontana W (2008) Sizing up allometric scaling theory. PLoS Comput Biol 4(9):e1000171. https://doi.org/10.1371/journal.pcbi.1000171
Scott SE, Redd TC, Kuznetsov L, Mezić I, Jones CKRT (2009) Capturing deviation from ergodicity at different scales. Physica D 238(16):1668–1679
Shnirelman A (2000) Weak solutions with decreasing energy of incompressible Euler equations. Comm Math Phys 210:541–603
Thurston GB (1976) Viscosity and viscoelasticity of blood in small diameter tubes. Microvasc Res 11:133–146
West GB, Brown JH, Enquist BJ (1997) A general model for the origin of allometric scaling laws in biology. Science 276(5309):122–126
Wolfram S (2020) Geometric Series. http://mathworld.wolfram.com/GeometricSeries.html. Accessed 20 May 2019
Acknowledgement
Partially supported by the Russian Science Foundation (project 19-19-00076). The authors would like to thank Prof. Roshan D’Souza for the CFD software used in this study and anonymous reviewers for the discussion which improved this paper.
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Nosonovsky, M., Roy, P. Allometric scaling law and ergodicity breaking in the vascular system. Microfluid Nanofluid 24, 53 (2020). https://doi.org/10.1007/s10404-020-02359-x
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DOI: https://doi.org/10.1007/s10404-020-02359-x
Keywords
- Allometry
- Ergodicity
- Fractal branching
- Capillaries
- Cardiovascular system
- Microfluidics