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酒精依赖症患者大脑老化加速的神经生物学定量证据。

Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence.

机构信息

Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, 10117, Germany.

Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, 01069, Germany.

出版信息

Transl Psychiatry. 2017 Dec 11;7(12):1279. doi: 10.1038/s41398-017-0037-y.

Abstract

The premature aging hypothesis of alcohol dependence proposes that the neurobiological and behavioural deficits in individuals with alcohol dependence are analogous to those of chronological aging. However, to date no systematic neurobiological evidence for this hypothesis has been provided. To test the hypothesis, 119 alcohol-dependent subjects and 97 age- and gender-matched healthy control subjects underwent structural MRI. Whole-brain grey matter volume maps were computed from structural MRI scans using voxel-based morphometry and parcelled into a comprehensive set of anatomical brain regions. Regional grey matter volume averages served as the basis for cross-regional similarity analyses and a brain age model. We found a striking correspondence between regional patterns of alcohol- and age-related grey matter loss across 110 brain regions. The brain age model revealed that the brain age of age-matched AD subjects was increased by up to 11.7 years. Interestingly, while no brain aging was detected in the youngest AD subjects (20-30 years), we found that alcohol-related brain aging systematically increased in the following age decades controlling for lifetime alcohol consumption and general health status. Together, these results provide strong evidence for an accelerated aging model of AD and indicate an elevated risk of alcohol-related brain aging in elderly individuals.

摘要

酒精依赖的早衰假说提出,酒精依赖个体的神经生物学和行为缺陷类似于年龄相关的衰老。然而,迄今为止,还没有为此假说提供系统的神经生物学证据。为了检验这一假说,119 名酒精依赖患者和 97 名年龄和性别匹配的健康对照者接受了结构磁共振成像检查。使用基于体素的形态测量法,从结构磁共振扫描中计算出全脑灰质体积图,并将其分为一组全面的解剖脑区。区域灰质体积平均值作为跨区域相似性分析和大脑年龄模型的基础。我们发现,在 110 个脑区中,酒精相关性和年龄相关性灰质丢失的区域模式之间存在惊人的一致性。大脑年龄模型显示,年龄匹配的 AD 患者的大脑年龄增加了 11.7 岁。有趣的是,虽然在最年轻的 AD 患者(20-30 岁)中没有检测到大脑老化,但我们发现,在控制终生饮酒量和一般健康状况后,随着年龄的增长,与酒精相关的大脑老化系统地增加。这些结果为 AD 的加速老化模型提供了有力证据,并表明在老年个体中存在与酒精相关的大脑老化的风险增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5168/5802586/c819023e27b2/41398_2017_37_Fig1_HTML.jpg

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