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相关概念视频

Circadian Rhythms and Gene Regulation02:19

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The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent...
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Aging01:26

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Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
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Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
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The circadian—or biological—clock is an intrinsic, timekeeping, molecular mechanism that allows plants to coordinate physiological activities over 24-hour cycles called circadian rhythms. Photoperiodism is a collective term for the biological responses of plants to variations in the relative lengths of dark and light periods. The period of light-exposure is called the photoperiod.
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Replicative cell senescence is a property of cells that allows them to divide a finite number of times throughout the organism's lifespan while preventing excessive proliferation. Replicative senescence is associated with the gradual loss of the telomere — short, repetitive DNA sequences found at the end of the chromosomes. Telomeres are bound by a group of proteins to form a protective cap on the ends of chromosomes. Embryonic stem cells express telomerase — an enzyme that adds...
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Updated: Sep 16, 2025

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine
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EpInflammAge:基于深度学习的疾病相关生物衰老的表观遗传炎症时钟.

Alena Kalyakulina1,2, Igor Yusipov1,2, Arseniy Trukhanov3

  • 1Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia.

International journal of molecular sciences
|July 12, 2025
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概括

EpInflammAge集成了表观遗传和炎症标志物,以准确预测生物年龄. 这种可解释的人工智能工具对老龄化和疾病的研究和临床应用具有前景.

关键词:
通过DNA甲基化.衰老的衰老 衰老的衰老生物钟是我们的生物钟.深度神经网络是一个神经网络.可解释的人工智能炎症导致的炎症.炎症概况 炎症概况

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科学领域:

  • 衰老的研究研究.
  • 计算生物学是一种计算生物学.
  • 免疫学 免疫学 免疫学

背景情况:

  • 衰老的特点是表观遗传变化和免疫衰老.
  • 准确预测生物年龄对于了解健康和疾病至关重要.
  • 现有的表观遗传时钟在疾病敏感性方面存在局限性.

研究的目的:

  • 开发EpinflammAge,这是一个可解释的深度学习工具,用于生物年龄预测.
  • 整合表观遗传和炎症标志物,以提高准确性和疾病敏感性.
  • 为了弥合衰老的标志:表观遗传变化和免疫衰老.

主要方法:

  • 利用深度神经网络进行表式数据分析.
  • 综合了参与者的表观遗传 (DNA甲基化) 和炎症 (细胞因子) 数据.
  • 使用开源表观遗传数据生成合成炎症生物标志物.
  • 使用组合数据集训练了一个年龄估计模型.

主要成果:

  • EpInflammAge实现了与34个表观遗传时钟模型相比的竞争性性能.
  • 在健康对照中,平均绝对误差为7年,Pearson相关性为0.85.
  • 在多种疾病类别中表现出强大的敏感性.
  • 可解释的人工智能确定了特征对年龄预测的贡献.

结论:

  • 结合表观遗传和炎症概况,可以提高生物年龄预测对疾病的敏感性.
  • EpInflammAge为研究和临床应用提供了一个有前途的工具.
  • 该工具的可解释性质有助于理解预测因素.