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毛囊自动机模型:毛发周期的随机性和同步性的影响

The follicular automaton model: effect of stochasticity and of synchronization of hair cycles.

作者信息

Halloy J, Bernard B A, Loussouarn G, Goldbeter A

机构信息

Unité de Chronobiologie théorique, Faculté des Sciences, Université Libre de Bruxelles, Campus Plaine, C.P. 231, B-1050 Brussels, Belgium.

出版信息

J Theor Biol. 2002 Feb 7;214(3):469-79. doi: 10.1006/jtbi.2001.2474.

Abstract

Human scalp hair consists of a set of about 10(5)follicles which progress independently through developmental cycles. Each hair follicle successively goes through the anagen (A), catagen (C), telogen (T) and latency (L) phases that correspond, respectively, to growth, arrest and hair shedding before a new anagen phase is initiated. Long-term experimental observations in a group of ten male, alopecic and non-alopecic volunteers allowed determination of the characteristics of hair follicle cycles. On the basis of these observations, we previously proposed a follicular automaton model to simulate the dynamics of human hair cycles and the development of different patterns of alopecia [Halloy et al. (2000) Proc. Natl Acad. Sci. U.S.A.97, 8328-8333]. The automaton model is defined by a set of rules that govern the stochastic transitions of each follicle between the successive states A, T, L and the subsequent return to A. These transitions occur independently for each follicle, after time intervals given stochastically by a distribution characterized by a mean and a standard deviation. The follicular automaton model was shown to account both for the dynamical transitions observed in a single follicle, and for the behaviour of an ensemble of independently cycling follicles. Here, we extend these results and investigate additional properties of the model. We present a deterministic version of the follicular automaton. We show that numerical simulations of the stochastic version of the automaton yield steady-state level of follicles in the different phases which approach the levels predicted by the deterministic equations as the number of follicles progressively increases. Only the stochastic version can successfully reproduce the fluctuations of the fractions of follicles in each of the three phases, observed in small follicle populations. When the standard deviation is reduced or when the follicles become otherwise synchronized, e.g. by a periodic external signal inducing the transition of anagen follicles into telogen phase, large-amplitude oscillations occur in the fractions of follicles in the three phases. These oscillations are not observed in humans but are reminiscent of the phenomenon of moulting observed in a number of mammalian species.

摘要

人类头皮毛发由约10⁵个毛囊组成,这些毛囊在发育周期中独立进展。每个毛囊依次经历生长期(A)、退行期(C)、休止期(T)和静止期(L),分别对应生长、停滞和毛发脱落,然后开始新的生长期。对一组10名男性、有脱发和无脱发的志愿者进行的长期实验观察,确定了毛囊周期的特征。基于这些观察结果,我们之前提出了一个毛囊自动机模型,以模拟人类毛发周期的动态变化以及不同脱发模式的发展[哈洛伊等人(2000年),《美国国家科学院院刊》97, 8328 - 8333]。该自动机模型由一组规则定义,这些规则控制每个毛囊在连续状态A、T、L之间的随机转变以及随后回到A状态。这些转变对于每个毛囊是独立发生的,时间间隔由以均值和标准差为特征的分布随机给出。毛囊自动机模型被证明既能解释单个毛囊中观察到的动态转变,也能解释一组独立循环毛囊的行为。在这里,我们扩展这些结果并研究该模型的其他特性。我们提出了毛囊自动机的确定性版本。我们表明,随着毛囊数量逐渐增加,自动机随机版本的数值模拟产生的不同阶段毛囊稳态水平接近确定性方程预测的水平。只有随机版本能够成功再现小毛囊群体中观察到的三个阶段中每个阶段毛囊比例的波动。当标准差减小或毛囊以其他方式同步时,例如通过周期性外部信号诱导生长期毛囊转变为休止期,三个阶段毛囊比例会出现大幅振荡。这些振荡在人类中未观察到,但让人联想到在许多哺乳动物物种中观察到的换毛现象。

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