Insulin signaling shapes fractal scaling of C. elegans behavior.

Insulin signaling shapes fractal scaling of C. elegans behavior.
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胰岛素信号塑造线虫行为的分形尺度。

DOI:
10.1038/s41598-022-13022-6
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发表时间:
2022-06-21
期刊:
影响因子:
4.6
通讯作者:
--
中科院分区:
综合性期刊3区
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动物行为活动中的分形尺度,其中类似的时间模式在时间尺度之间的一系列放大中反复出现,支配着各种动物物种的复杂行为,并且在人类中,可以通过神经退行性疾病和衰老来改变。然而,分形标度的机制仍然未知。在这里,我们培养了C。elegans在微流控装置中培养3天,并分析了C. elegans活动的分形分析。研究了C.秀丽隐杆线虫的行为与人类和小鼠的行为具有共同的特征。具体而言,在较长的时间尺度上,活跃状态的驻留时间幂律分布变为指数状下降,而非活跃状态遵循幂律分布。在野生型动物中,随着营养的供应,出现指数样下降,而这种下降在胰岛素信号缺陷型daf-2和daf-16突变体中消失。非活性状态分布的幂律指数的绝对值在野生型动物中随着营养供应而增加,而在daf-2和daf-16突变体中该值下降。我们的结论是,胰岛素信号的差异影响机制,决定在活动和非活动状态的停留时间在C。优雅的行为在人类中,由胰岛素信号缺陷引起的糖尿病与影响日常行为活动的情绪障碍有关。我们假设糖尿病患者的共病行为缺陷可能归因于人类行为的分形尺度改变。
Fractal scaling in animal behavioral activity, where similar temporal patterns appear repeatedly over a series of magnifications among time scales, governs the complex behavior of various animal species and, in humans, can be altered by neurodegenerative diseases and aging. However, the mechanism underlying fractal scaling remains unknown. Here, we cultured C. elegans in a microfluidic device for 3 days and analyzed temporal patterns of C. elegans activity by fractal analyses. The residence-time distribution of C. elegans behaviors shared a common feature with those of human and mice. Specifically, the residence-time power-law distribution of the active state changed to an exponential-like decline at a longer time scale, whereas the inactive state followed a power-law distribution. An exponential-like decline appeared with nutrient supply in wild-type animals, whereas this decline disappeared in insulin-signaling-defective daf-2 and daf-16 mutants. The absolute value of the power-law exponent of the inactive state distribution increased with nutrient supply in wild-type animals, whereas the value decreased in daf-2 and daf-16 mutants. We conclude that insulin signaling differentially affects mechanisms that determine the residence time in active and inactive states in C. elegans behavior. In humans, diabetes mellitus, which is caused by defects in insulin signaling, is associated with mood disorders that affect daily behavioral activities. We hypothesize that comorbid behavioral defects in patients with diabetes may be attributed to altered fractal scaling of human behavior.
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