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A novel strain energy relationship for red blood cell membrane skeleton based on spectrin stiffness and its application to micropipette deformation

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Abstract

Red blood cell (RBC) membrane skeleton is a closed two-dimensional elastic network of spectrin tetramers with nodes formed by short actin filaments. Its three-dimensional shape conforms to the shape of the bilayer, to which it is connected through vertical linkages to integral membrane proteins. Numerous methods have been devised over the years to predict the response of the RBC membrane to applied forces and determine the corresponding increase in the skeleton elastic energy arising either directly from continuum descriptions of its deformation, or seeking to relate the macroscopic behavior of the membrane to its molecular constituents. In the current work, we present a novel continuum formulation rooted in the molecular structure of the membrane and apply it to analyze model deformations similar to those that occur during aspiration of RBCs into micropipettes. The microscopic elastic properties of the skeleton are derived by treating spectrin tetramers as simple linear springs. For a given local deformation of the skeleton, we determine the average bond energy and define the corresponding strain energy function and stress–strain relationships. The lateral redistribution of the skeleton is determined variationally to correspond to the minimum of its total energy. The predicted dependence of the length of the aspirated tongue on the aspiration pressure is shown to describe the experimentally observed system behavior in a quantitative manner by taking into account in addition to the skeleton energy an energy of attraction between RBC membrane and the micropipette surface.

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References

  • An X, Mohandas N (2008) Disorders of red cell membrane. Br J Haematol 141:367–375

    Google Scholar 

  • Byers TJ, Branton D (1985) Visualization of protein associations in the erythrocyte-membrane skeleton. Proc Natl Acad Sci USA 82:6153–6158

    Article  Google Scholar 

  • Chen M, Boyle FJ (2014) Investigation of membrane mechanics using spring networks: application to red-blood-cell modelling. Mater Sci Eng C 43:506–516

    Article  Google Scholar 

  • Dao M, Li J, Suresh S (2006) Molecularly based analysis of deformation of spectrin network and human erythrocyte. Mater Sci Eng C 26:1232–1244

    Article  Google Scholar 

  • Dimitrakopoulos P (2012) Analysis of the variation in the determination of the shear modulus of the erythrocyte membrane: effects of the constitutive law and membrane modeling. Phys Rev E 85:041917 (1–10)

    Article  Google Scholar 

  • Discher DE, Mohandas N (1996) Kinematics of red cell aspiration by fluorescence-imaged microdeformation. Biophys J 71:1680–1694

    Article  Google Scholar 

  • Discher DE, Mohandas N, Evans EA (1994) Molecular maps of red cell deformation: hidden elasticity and in situ connectivity. Science 266:1032–1035

    Article  Google Scholar 

  • Discher DE, Boal DH, Boey SK (1998) Simulations of the erythrocyte skeleton at large deformation. II. Micropipette aspiration. Biophys J 75:1584–1597

    Article  Google Scholar 

  • Evans EA (1973) New membrane concept applied to the analysis of fluid shear- and micropipette-deformed red blood cells. Biophys J 13:941–954

    Article  Google Scholar 

  • Fedosov DA, Caswell B, Karniadakis GE (2010) A multiscale red blood cell model with accurate mechanics, rheology, and dynamics. Biophys J 98:2215–2225

    Article  Google Scholar 

  • Grey JL, Kodippili GC, Simon K, Low PS (2012) Identification of contact sites between ankyrin and band 3 in the human erythrocyte membrane. Biochemistry 51:6838–6846

    Article  Google Scholar 

  • Hansen JC, Skalak R, Chien S, Hoger A (1996) An elastic network model based on the structure of the red blood cell membrane skeleton. Biophys J 70:146–166

    Article  Google Scholar 

  • Hansen JC, Skalak R, Chien S, Hoger A (1997) Influence of network topology on the elasticity of the red blood cell membrane skeleton. Biophys J 72:2369–2381

    Article  Google Scholar 

  • Hartmann D (2010) A multiscale model for red blood cell mechanics. Biomech Model Mechanobiol 9:1–17

    Article  Google Scholar 

  • Hochmuth RM, Waugh RE (1987) Erythrocyte membrane elasticity and viscosity. Ann Rev Physiol 49:209–219

    Article  Google Scholar 

  • Ipsaro JJ, Harper SL, Messick TE, Marmorstein R, Mondragón A, Speicher DW (2010) Crystal structure and functional interpretation of the erythrocyte spectrin tetramerization domain complex. Blood 115:4843–4852

    Article  Google Scholar 

  • Kuzman D, Svetina S, Waugh RE, Žekš B (2004) Elastic properties of the red blood cell membrane that determine echinocyte deformability. Eur Biophys J 33:1–15

    Article  Google Scholar 

  • Law R, Carl P, Harper S, Dalhaimer P, Spreicher DW, Discher DE (2003) Cooperativity in forced unfolding of tandem spectrin repeats. Biophys J 84:533–544

  • Li J, Dao M, Lim CT, Suresh S (2005) Spectrin-level modeling of the cytoskeleton and optical tweezers stretching of the erythrocyte. Biophys J 88:3707–3718

    Article  Google Scholar 

  • Li X, Vlahovska PM, Karniadakis GE (2013) Continuum- and particle-based modeling of shapes and dynamics of red blood cells in health and disease. Soft Matter 9:28–37

    Article  Google Scholar 

  • Lim GHW, Wortis M, Mukhopadhyay R (2002) Stomatocyte–discocyte–echinocyte sequence of the human red blood cell: evidence for the bilayer–couple hypothesis from membrane mechanics. Proc Natl Acad Sci 99:16766–16769

    Article  Google Scholar 

  • Liu SC, Derick H, Palek J (1987) Visualization of the hexagonal lattice in the erythrocyte membrane skeleton. J Cell Biol 104:527–536

    Article  Google Scholar 

  • Markin VS, Kozlov MM (1988) Mechanical properties of the red cell membrane skeleton—analysis of axisymmetric deformations. J Theor Biol 133:147–167

    Article  Google Scholar 

  • Mohandas N, Evans EA (1994) Mechanical properties of the red cell membrane in relation to molecular structure and genetic effects. Ann Rev Biophys Biomol Struct 23:787–818

    Article  Google Scholar 

  • Mukhopadhyay R, Lim GHW, Wortis M (2002) Echinocyte shapes: bending, stretching, and shear determine spicule shape and spacing. Biophys J 82:1756–1772

    Article  Google Scholar 

  • Paramore S, Voth GA (2006) Examining the influence of linkers and tertiary structure in the forced unfolding of multiple-repeat spectrin molecules. Biophys J 91:3436–3445

    Article  Google Scholar 

  • Peng Z, Asaro RJ, Zhu Q (2010) Multiscale simulation of erythrocyte membranes. Phys Rev E 81:031904 (1–11)

    Article  Google Scholar 

  • Pivkin IV, Karniadakis GE (2008) Accurate coarse-grained modelling of red blood cells. Phys Rev Lett 101:118115

    Article  Google Scholar 

  • Randles LG, Rounsevell RWS, Clarke J (2007) Spectrin domains lose cooperativity in forced unfolding. Biophys J 92:571–577

    Article  Google Scholar 

  • Rief M, Pascual J, Saraste M, Gaub HE (1999) Single molecule force spectroscopy of spectrin repeats: low unfolding forces in helix bundles. J Mol Biol 286:553–561

    Article  Google Scholar 

  • Skalak R, Torezen A, Zarda RP, Chien S (1973) Strain energy function of red blood cell membrane. Biophys J 13:245–264

    Article  Google Scholar 

  • Stokke BT, Mikkelsen A, Elgsaeter A (1986) The human-erythrocyte membrane skeleton may be an ionic gel. 1. Membrane mechanochemical properties. Eur Biophys J 13:203–218

    Article  Google Scholar 

  • Svetina S, Žekš B (1992) The elastic deformability of closed multilayered membranes is the same as that of a bilayer membrane. Eur Biophys J 21:251–255

    Article  Google Scholar 

  • Svetina S, Žekš B (2014) Nonlocal membrane bending: a reflection, the facts and its relevance. Adv Colloid Interface Sci 208:189–196

    Article  Google Scholar 

  • Waugh RE, Evans EA (1979) Thermoelasticity of the red blood cell membrane. Biophys J 26:115–132

    Article  Google Scholar 

  • Zarda PR, Chien S, Skalak R (1977) Elastic deformation of red blood cells. J Biomech 10:211–221

    Article  MATH  Google Scholar 

  • Zhu Q, Asaro RJ (2008) Spectrin folding versus unfolding reactions and RBC membrane stiffness. Biophys J 94:2529–2545

    Article  Google Scholar 

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Correspondence to Richard E. Waugh.

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Supplementary material 1 (mp4 506 KB)

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Appendices

Appendix 1: Description of the numerical procedure

Equation 18 is a differential equation of second order, and we translate it to a system of two differential equations of first order:

$$\begin{aligned}&\frac{\hbox {d}s_0 }{\hbox {d}s}=\frac{1}{\lambda _\mathrm{m} }\nonumber \\&\begin{aligned} \frac{d\lambda _\mathrm{m} }{\hbox {d}s}&=\left( {r_0 \frac{\partial ^{2}u}{\partial \lambda _\mathrm{m}^2 }} \right) ^{-1}\left[ \frac{\partial ^{2}u}{\partial \lambda _\mathrm{m} \partial \lambda _\mathrm{p}}\left( {\frac{1}{\lambda _\mathrm{m} }\frac{r}{r_0 }\frac{\hbox {d}r_0 }{\hbox {d}s_0 }-\frac{\hbox {d}r}{\hbox {d}s}} \right) \right. \\&\quad \left. +\,\,\frac{1}{\lambda _\mathrm{m} }\left( {\frac{\partial u}{\partial \lambda _\mathrm{p}}\frac{\hbox {d}r}{\hbox {d}s}-\frac{\partial u}{\partial \lambda _\mathrm{m} }\frac{\hbox {d}r_0 }{\hbox {d}s_0 }} \right) \right] \end{aligned} \end{aligned}$$
(30)

The undeformed RBC area is a disk with radius \(R_{\mathrm{III}}= (A_{0}/4\pi )^{1/2}\) and is divided into three sections, each corresponding to a different region of the deformed membrane: cap, cylinder and annulus. Because each section has a different contour function s(r), the corresponding deformations are obtained from different versions of Eq. 30 subject to the constraints that s and \(s_{0}\) must be continuous across boundaries from the beginning of Sect. 1 to the end of Sect. 3 (Fig. 6a).

The contour functions in case of deformation from a flat disk to a spherical cap are:

$$\begin{aligned}&r = R\sin \frac{s}{R} \nonumber \\&r_0 =s_0 \end{aligned}$$
(31)

where R is the radius of the spherical cap and can be determined from the meniscus height h and the pipette radius \(R_{p}\)

$$\begin{aligned} R=\frac{h^{2}+R_\mathrm{p}^2 }{2h} \end{aligned}$$
(32)

For the cylindrical section, the contour functions are:

$$\begin{aligned}&r = R_\mathrm{p}\nonumber \\&r_0 = s_0 \end{aligned}$$
(33)

and for deformation from a larger to a smaller annulus, the relationships are:

$$\begin{aligned}&r = s-s_\mathrm{p}+R_\mathrm{p}\nonumber \\&r_0 =s_0 \end{aligned}$$
(34)

where \(s_\mathrm{p}\) is the length of the contour within the micropipette. The mapping function between the shapes \(s_0 \left( s \right) \) is determined by requiring area preservation and applying the condition that the extension ratios at the pole are the same \(\lambda _\mathrm{m} =\lambda _\mathrm{p}\). Numerically, we set the value of \(\lambda _\mathrm{m}\) at the pole as \(\lambda _\mathrm{m} =1/\gamma \) and making the first step of integration \(s_0 =\gamma s\). The value of \(\upgamma \) is obtained by iteration to satisfy the requirement that the value of \(s_0 \) at the end of the third section matches the initial disk radius \(R_{\mathrm{III}}\).

Appendix 2

For our present model, it is straightforward to calculate the dependence of the continuum moduli \(\kappa \) and \(\mu \) on extension ratios:

$$\begin{aligned} \mu= & {} \frac{Kn_0 X_0^2 }{2}\left\{ \lambda _1 \lambda _2 -\frac{4}{\pi }\frac{\lambda _1^2 \lambda _2^3 }{\left( {\lambda _1^2 -\lambda _2^2 } \right) ^{2}}\right. \nonumber \\&\times \left. \left[ {\left( {\frac{\lambda _1^2 }{\lambda _2^2 }+1} \right) E\left( {1-\frac{\lambda _2^2 }{\lambda _1^2 }} \right) -2K\left( {1-\frac{\lambda _2^2 }{\lambda _1^2 }} \right) } \right] \right\} \end{aligned}$$
(35)
$$\begin{aligned} \kappa= & {} \frac{Kn_0 X_0^2 }{2\pi }\frac{1}{\lambda _1 \lambda _2^2 }E\left( {1-\frac{\lambda _2^2 }{\lambda _1^2 }} \right) \end{aligned}$$
(36)

for \(\lambda _{1} > \lambda _{2}\), and with indices interchanged when the inequality is not satisfied. At first, the second term in the expression for \(\mu \) appears to be singular for \(\lambda _{1}=\lambda _{2}\), but a careful analysis of this term reveals the following limit:

$$\begin{aligned} \mathop {\lim }\limits _{\lambda _1 \rightarrow \lambda _2 } \left( \mu \right) =\frac{Kn_0 X_0^2 }{2}\left( {\lambda _1 \lambda _2 -\frac{3\lambda _2 }{4}} \right) \end{aligned}$$
(37)

From Fig. 9, it is evident that these two coefficients for a material made up of randomly oriented springs are strongly dependent on deformation, with the shear modulus increasing dramatically with extension and the area modulus decreasing with expansion. This indicates that such a material would “prefer” to decrease its local density than stretch when membrane deformations are large. As indicated in the discussion, experiments involving aspiration of small portions of red cell membrane into a micropipette, by themselves, do not enable us to determine whether this behavior is exhibited by RBC membrane, but future experiments using fluorescence to image changes in local skeletal density could provide a test of this prediction.

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Svetina, S., Kokot, G., Kebe, T.Š. et al. A novel strain energy relationship for red blood cell membrane skeleton based on spectrin stiffness and its application to micropipette deformation. Biomech Model Mechanobiol 15, 745–758 (2016). https://doi.org/10.1007/s10237-015-0721-x

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