首页> 外文期刊>Neurobiology of Aging: Experimental and Clinical Research >Identification by machine vision of the rate of motor activity decline as a lifespan predictor in C. elegans.
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Identification by machine vision of the rate of motor activity decline as a lifespan predictor in C. elegans.

机译:通过机器视觉确定运动活性下降的速率作为秀丽隐杆线虫的寿命预测指标。

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One challenge in aging research concerns identifying physiological parameters or biomarkers that can reflect the physical health of an animal and predict its lifespan. In C. elegans, a model organism widely used in aging research, motor deficits develop in old worms. Here we employed machine vision to quantify worm locomotion behavior throughout lifespan. We confirm that aging worms undergo a progressive decline in motor activity, beginning in early life. Importantly, the rate of motor activity decline rather than the absolute motor activity in the early-to-mid life of individual worms in an isogenic population inversely correlates with their lifespan, and thus may serve as a lifespan predictor. Long-lived mutant strains with deficits in insulin/IGF-1 signaling or food intake display a reduction in the rate of motor activity decline, suggesting that this parameter might also be used for across-strain comparison of healthspan. Our work identifies an endogenous physiological parameter for lifespan prediction and healthspan comparison.
机译:衰老研究中的一项挑战涉及确定可反映动物身体健康并预测其寿命的生理参数或生物标记。秀丽隐杆线虫是一种广泛用于衰老研究的模型生物,其运动缺陷在老蠕虫中发展。在这里,我们使用机器视觉来量化蠕虫在整个生命周期中的运动行为。我们确认,蠕虫从幼年开始就经历了运动活动的逐渐下降。重要的是,在等基因种群中,单个蠕虫的早期到中期的运动能力下降的速度,而不是绝对运动能力,与其寿命成反比,因此可以作为寿命的预测指标。胰岛素/ IGF-1信号或食物摄入不足的长寿命突变菌株显示出运动能力下降率降低,这表明该参数也可用于跨菌株的健康期比较。我们的工作确定了寿命预测和健康比较的内源性生理参数。

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