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异开关驱动人类大脑的衰老过程。

Isoswitching drives the aging process in human brains.

作者信息

Erdogdu Beril, Ji Hyun Joo, Rudnick Zoe C, Pertea Mihaela, Salzberg Steven L

机构信息

Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA.

Department of Biomedical Engineering, Johns Hopkins School of Medicine and Whiting School of Engineering, Baltimore, MD, USA.

出版信息

bioRxiv. 2025 May 9:2025.05.05.652255. doi: 10.1101/2025.05.05.652255.

Abstract

Learning, reasoning, and working memory functions are attributed to the dorsolateral prefrontal cortex (DLPFC), a distinctive region of the human brain that is highly evolved in primates and exhibits notable variability among individuals. Environmental and genetic factors likely contribute to this variability, but little is known about how they influence changes within an individual brain across the lifespan as different cognitive tasks and challenges arise. Most genetic studies focus on DNA mutations or changes in overall gene expression levels. However, genes can also alter the form in which they are expressed through alternative splicing. Using RNA sequencing data from prenatal and postnatal human DLPFCs, we observed that many genes undergo dramatic shifts in their isoform preferences around the time of birth. We further found that thousands of genes continue to undergo gradual, temporally regulated changes in their preferred isoforms, a phenomenon we term 'isoswitching'. In this study, we present isoswitching as a major force in brain development, capable of accurately predicting human brain age from prenatal stages through late adulthood and beyond eighty years of age. This represents the first demonstration of brain age prediction based solely on RNA sequencing data. We also report isoswitching in the brain of a closely related primate, the rhesus macaque.

摘要

学习、推理和工作记忆功能归因于背外侧前额叶皮层(DLPFC),这是人类大脑中一个独特的区域,在灵长类动物中高度进化,且个体间存在显著差异。环境和遗传因素可能导致了这种差异,但对于它们如何在个体大脑的整个生命周期中,随着不同认知任务和挑战的出现而影响大脑变化,我们知之甚少。大多数基因研究关注DNA突变或整体基因表达水平的变化。然而,基因也可以通过可变剪接改变其表达形式。利用产前和产后人类DLPFC的RNA测序数据,我们观察到许多基因在出生前后其异构体偏好发生了显著变化。我们进一步发现,数千个基因在其偏好的异构体中继续经历逐渐的、受时间调控的变化,我们将这一现象称为“异构体转换”。在本研究中,我们提出异构体转换是大脑发育中的一股主要力量,能够从产前阶段到成年后期以及八十岁以后准确预测人类大脑年龄。这是首次仅基于RNA测序数据进行大脑年龄预测的证明。我们还报告了在密切相关的灵长类动物恒河猴大脑中的异构体转换。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61d7/12247723/c5f20abc51e0/nihpp-2025.05.05.652255v1-f0001.jpg

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