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诠释耳蜗的主动感音放大机制一直是未解的医学难题. 这种机制与耳蜗中外毛细胞顶端的静纤毛运动密切相关, 静纤毛运动又受到tip-link张力与淋巴液流体力的调节. 因此, 研究静纤毛运动过程中tip-link张力是诠释耳蜗的主动感音放大机制的重要环节. 本文把静纤毛视为变形体, 基于泊肃叶流动理论并结合分布参数模型, 推导了静纤毛运动的解析解. 研究了盖膜剪切荷载作用下静纤毛和淋巴液相互作用的动力响应以及tip-link张力的变化规律. 研究发现: 当静纤毛的杨氏模量减小时, 在小于峰值频率的区域, tip-link张力显著增大,
$ {f_2} $ 的峰值频率减小. 以往的研究将静纤毛作为刚体, 势必导致低频声音信号作用减弱. 当系数c = 0 (无黏性阻力)时,$ {f_2} $ 频率选择特性存在; 当μ = 0(无压力)时,$ {f_2} $ 频率选择特性消失, 因此淋巴液可能是通过在静纤毛间产生压强的方式来调节毛束的频率特性的. 另外, 盖膜剪切荷载频率越高, 静纤毛轴弯曲越明显, 发束内外域的压强差也越大.-
关键词:
- 静纤毛 /
- 变形体 /
- tip-link张力 /
- 频率特性
Explanation of cochlear active acoustic amplification mechanism has been an unsolved medical problem. This mechanism is closely related to the motion of the stereocilia at the top of the outer hair cells in the cochlea. The motion of stereocilia is regulated by the tip-link tension and the fluid force of the lymph fluid. Therefore, studying the tip-link tension during the motion of stereocilia is an important part of the explanation of the cochlea's active sensory sound amplification mechanism. Most of previous studies regarded the stereocilia as rigid bodies, and ignored the influence of shaft bending when studying the mechanical properties of hair bundle. Most of the researches on elastic stereocilia used the finite element simulation, or simplified the model by ignoring the fluid-solid coupling with lymph fluid, or considered only static loading. Based on the Poiseuille flow combined with the distributed parameter model, the analytical solution of the elastic motion of stereocilia is derived in this work. The dynamic response of the stereocilia under the shear force of the tectorial membrane and the change law of tip-link tension are studied. The shaft bending produces a nonlinear accumulation of displacement at the height of the stereocilia. The higher the stereocilia, the more obvious the accumulation effect is. Under the action of dynamic load, the shaft bending contributes most to the displacement response in the tall stereocilium, and this contribution is easily affected by frequency change. Under low frequency load, the displacement response of tall stereocilium comes mainly from the root deflection. At high frequency, the shaft bending increases significantly, and the displacement response is produced by the combination of shaft bending and root deflection. The change of F-actin content in the cochlea exposed to noise would affect the stereocilia stiffness. In this paper, it is found that the decrease of stereociliary Young's modulus will increase the peak value of normalized tension and reduce its peak frequency, and the amplitude of normalized tension will increase under the low frequency shear load. Since the tip-link is connected to an ion channel, the change of normalized tension will affect the probability of ion channels opening, change the ability of cochlea to perceive the sound of corresponding frequency, and then affect the frequency selectivity of hair bundle. Therefore, previous studies of stereocilia regarded as rigid bodies underestimated the response of the cochlea to low-frequency acoustic signals. This model accurately describes the law of tip-link tension and provides a corresponding theoretical explanation for hearing impairment caused by noise environment. Previous experiments have shown that the lymphatic viscous resistance has little effect on the deflection of stereocilia. In this paper, when the viscous resistance is ignored, the tip-link tension changes very little, and when the pressure between the stereocilia is ignored, the tip-link tension changes significantly and the resonance peak of$ {f_2} $ disappears. Therefore, lymphatic fluid regulates the resonance properties of the tip-link tension by creating the pressure between the stereocilia. The presence of lymphatics is essential for generating the frequency characteristics of the hair bundle. In the low frequency domain, the motion of stereocilia is regulated mainly by tip-link, and in the high frequency domain, it is regulated mainly by lymphatic pressure.-
Keywords:
- stereocilia /
- deformed body /
- tip-link tension /
- frequency characteristics
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图 2 单根静纤毛根部转角计算模型
Fig. 2. Calculation model of root rotation angle of a single stereocilia.
图 3 发束横断面图 (a)压力分布的位置; (b)相邻立体纤毛之间的淋巴流线
Fig. 3. Top view of hair bundle: (a) The position of the pressure distribution; (b) lymphatic streamlines between adjacent stereocilia.
图 5 静纤毛顶端位移比随频率的变化曲线
Fig. 5. Variation curve of displacement ratio of the top of stereocilia with frequency.
图 6 不同杨氏模量下tip-link归一化张力随频率的变化曲线 (a)
$ {f_1} $ ; (b)$ {f_2} $ Fig. 6. Variation curves of tip-link normalized tension with frequency under different Young's modulus: (a) f1; (b) f2.
图 7 不同流体作用方式下归一化张力随频率的变化曲线 (a)
$ {f_1} $ ; (b)$ {f_2} $ Fig. 7. Variation curve of normalized tension with frequency under different fluid action modes: (a)
$ {f_1} $ ; (b)$ {f_2} $ .
图 8 A和B处的压强 (a) A和B在发束中的位置; (b) A和B处压强随频率的变化曲线
Fig. 8. The pressure at A and B: (a) The position of A and B in the hair bundle; (b) the variation curve of pressure at A and B.
表 1 模型参数
Table 1. Model parameters.
参数名称 参数值 静纤毛高度($l_1 $, $l_2 $, $l_3 $)/μm 6.0, 2.8, 1.4 静纤毛底圆锥高度($l_{{\rm{a}}1} $, $l_{{\rm{a}}2} $, $l_{{\rm{a}}3} $)/μm 1.6, 1.0, 0.6 高, 中静纤毛侧壁上tip-link
连接点高度($l_{{\rm{t}}1} $, $l_{{\rm{t}}2} $)/μm3.0, 1.6 圆柱体半径(r)/nm 150 圆锥最小半径(ra)/nm 60 相邻静纤毛间距(h0)/nm 50 静纤毛体均布质量(m)/(kg·m–1) 8.48 × 10–11 静纤毛杨氏模量(E)/GPa 1.2 淋巴液粘度系数(c = μ)/(Pa·s) 6.59 × 10–4 tip-link轴与水平面夹角(β1 = β2) π/4 tip-link弹性常数(ktip1 = ktip2)/(N·m–1) 5.3 × 10–4 
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[1] Colantonio J R, Vermot J, Wu D, Langenbacher A D, Fraser S, Chen J N, Hill K L 2009 Nature 457 205
Google Scholar
[2] Pickles J O, Comis S D, Osborne M P 1984 Hearing Res. 15 103
Google Scholar
[3] Auer M, Koster A, Ziese U, Bajaj C, Volkmann N, Wang D, Hudspeth A 2008 J. Assoc. Res. Otolaryngol. 9 215
Google Scholar
[4] Assad J A, Shepherd G M, Corey D P 1991 Neuron 7 985
Google Scholar
[5] Tobin M, Chaiyasitdhi A, Michel V, Michalski N, Martin P 2019 eLife 8 e43473
Google Scholar
[6] Maoiléidigh D Ó, Jülicher F 2010 J. Acoust. Soc. Am. 128 1175
Google Scholar
[7] Fettiplace R, Crawford A C Evans M G 1992 Ann. N. Y. Acad. Sci. 656 1
Google Scholar
[8] Beurg M, Fettiplace R, Nam J H, Ricci A J 2009 Nat. Neurosci. 12 553
Google Scholar
[9] Furness D N, Hackney C M, Evans M G 2010 J. Physiol. 588 765
Google Scholar
[10] Park J, Wei G W 2013 J. Comput. Neurosci. 35 231
Google Scholar
[11] Jaramillo F, Hudspeth A J 1993 PNAS 90 1330
Google Scholar
[12] Lim K, Park S 2009 J. Biomech. 42 2158
Google Scholar
[13] Kachar B, Parakkal M, Kurc M, Zhao Y, Gillespie P 2000 PNAS 97 13336
Google Scholar
[14] Kazmierczak P, Sakaguchi H, Tokita J, Wilson-Kubalek E M, Milligan R A 2007 Nature 449 87
Google Scholar
[15] Ge J P, Elferich J, Goehring A, Zhao J, Gouaux E 2018 eLife 7 e38770
Google Scholar
[16] Richardson G P, Petit C 2019 Cold Spring Harbor Perspect. Med. 9 a033142
Google Scholar
[17] Dionne G, Qiu X F, Rapp M, Liang X P, Zhao B, Peng G H, Katsamba P S, Ahlsen G, Rubinstein R, Potter C S, Carragher B, Honig B, Müller U, Shapiro L 2018 Neuron 99 480
Google Scholar
[18] Bartsch T F, Hengel F E, Oswald A, Dionne G, Chipendo I V, Mangat S S, El Shatanofy M, Shapiro L, Müller U, Hudspeth A J 2019 PNAS 116 11048
Google Scholar
[19] Duncan R K, Grant J W 1997 Hearing Res. 104 15
Google Scholar
[20] Cotton J, Grant W 2004 Hearing Res. 197 96
Google Scholar
[21] Cotton J, Grant W 2004 Hearing Res. 197 105
Google Scholar
[22] Nam J H, Cotton J R, Grant J W 2005 J. Vestib. Res. 15 263
Google Scholar
[23] Tilney L G, Tilney M S 1986 Hearing Res. 22 55
Google Scholar
[24] You L, Cowin S C, Schaffler M B, Weinbaum S 2001 J. Biomech. 34 1375
Google Scholar
[25] Han Y F, Cowin S C, Schaffler M B, Weinbaum S 2004 PNAS 101 16689
Google Scholar
[26] Lin H W, Schneider M E, Kachar B 2005 Curr. Opin. Cell Biol. 17 55
Google Scholar
[27] Hackney C M, Furness D N 1995 Am. J. Physiol. 268 1
Google Scholar
[28] Strelioff D, Flock A 1984 Hearing Res. 15 19
Google Scholar
[29] Furness D N, Zetes D E, Hackney C M 1997 Proc. Biol. Sci. 264 45
Google Scholar
[30] Gittes F, Mickey B, Nettleton J, Howard J 1993 J. Cell Biol. 120 923
Google Scholar
[31] Howard J, Hudspeth A J 1988 Neuron 1 189
Google Scholar
[32] Tsuprun V, Santi P 2002 J. Histochem. Cytochem. 50 493
Google Scholar
[33] Flock Å, Strelioff D 1984 Nature 310 597
Google Scholar
[34] Szymko Y M, Dimitri P S, Saunders J C 1992 Hearing Res. 59 241
Google Scholar
[35] Fridberger A, Tomo I, Ulfendahl M, Monvel J B 2006 PNAS 103 1918
Google Scholar
[36] Vlajkovic S M, Housley G D, Muñoz D J B, Robson S C, Sévigny J, Wang C J H, Thorne P R 2004 Neuroscience 126 763
Google Scholar
[37] Avinash G B, Nuttall A L, Raphael Y 1993 Hearing Res. 67 139
Google Scholar
[38] Murakoshi M, Yoshida N, Kitsunai Y, Iida K, Kumano S, Suzuki T, Kobayashi T, Wada H 2006 Brain Res. 1107 121
Google Scholar
[39] Kondrachuk A V 2006 Adv. Space Res. 38 1052
Google Scholar
[40] Kozlov A S, Baumgart J, Risler T, Versteegh C P, Hudspeth A J 2011 Nature 474 376
Google Scholar
[41] Verpy E, Leibovici M, Michalski N, Goodyear R J, Houdon C, Weil D, Richardson G P, Petit C 2011 J. Comp. Neurol. 519 194
Google Scholar
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