Wang Yao, Dong Yingying, Zhai Qiaocheng, Zhang Wei, Xu Ying, Yang Ling
School of Mathematical Science, Soochow University, Suzhou 215006, China.
Center for Systems Biology, Soochow University, Suzhou 215006, China.
iScience. 2023 Dec 13;27(1):108716. doi: 10.1016/j.isci.2023.108716. eCollection 2024 Jan 19.
The biological rhythms governed by negative feedback loops have undergone extensive investigation. However, developing reliable and versatile warning signals to predict periodic fluctuations in physiological processes and behaviors associated with these rhythms remains a challenge. Here, we monitored the heart rate and tracked ovulation dates of 91 fertile women. The finding strongly links the velocity (derivative) of heart rate with ovulation in menstrual cycles, providing a predictive warning signal. Similarly, an analysis of calcium signaling in the suprachiasmatic nucleus (SCN) of mice reveals that the maximum velocity of rising calcium signal aligns with locomotor activity offsets. To demonstrate the generality of derivative-transitions link, numerical simulations using a negative feedback loop model were conducted. Statistical analysis indicated that over 90% of the oscillations exhibited a correlation between maximum velocity and transition points. Consequently, the maximum velocity derived from oscillatory curves holds significant potential as an early warning signal for critical transitions.
由负反馈回路控制的生物节律已得到广泛研究。然而，开发可靠且通用的预警信号以预测与这些节律相关的生理过程和行为的周期性波动仍然是一项挑战。在此，我们监测了91名育龄妇女的心率并追踪了她们的排卵日期。该发现有力地将心率的速度（导数）与月经周期中的排卵联系起来，提供了一个预测性预警信号。同样，对小鼠视交叉上核（SCN）中钙信号的分析表明，钙信号上升的最大速度与运动活动偏移相一致。为了证明导数 - 转变联系的普遍性，我们使用负反馈回路模型进行了数值模拟。统计分析表明，超过90%的振荡在最大速度和转变点之间呈现出相关性。因此，从振荡曲线得出的最大速度作为关键转变的预警信号具有巨大潜力。
