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英国生物库参与者中中度饮酒、大脑铁与认知之间的关联:观察性和孟德尔随机化分析。

Associations between moderate alcohol consumption, brain iron, and cognition in UK Biobank participants: Observational and mendelian randomization analyses.

机构信息

Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford, United Kingdom.

Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Oxford University, Oxford, United Kingdom.

出版信息

PLoS Med. 2022 Jul 14;19(7):e1004039. doi: 10.1371/journal.pmed.1004039. eCollection 2022 Jul.


DOI:10.1371/journal.pmed.1004039
PMID:35834561
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9282660/
Abstract

BACKGROUND: Brain iron deposition has been linked to several neurodegenerative conditions and reported in alcohol dependence. Whether iron accumulation occurs in moderate drinkers is unknown. Our objectives were to investigate evidence in support of causal relationships between alcohol consumption and brain iron levels and to examine whether higher brain iron represents a potential pathway to alcohol-related cognitive deficits. METHODS AND FINDINGS: Observational associations between brain iron markers and alcohol consumption (n = 20,729 UK Biobank participants) were compared with associations with genetically predicted alcohol intake and alcohol use disorder from 2-sample mendelian randomization (MR). Alcohol intake was self-reported via a touchscreen questionnaire at baseline (2006 to 2010). Participants with complete data were included. Multiorgan susceptibility-weighted magnetic resonance imaging (9.60 ± 1.10 years after baseline) was used to ascertain iron content of each brain region (quantitative susceptibility mapping (QSM) and T2*) and liver tissues (T2*), a marker of systemic iron. Main outcomes were susceptibility (χ) and T2*, measures used as indices of iron deposition. Brain regions of interest included putamen, caudate, hippocampi, thalami, and substantia nigra. Potential pathways to alcohol-related iron brain accumulation through elevated systemic iron stores (liver) were explored in causal mediation analysis. Cognition was assessed at the scan and in online follow-up (5.82 ± 0.86 years after baseline). Executive function was assessed with the trail-making test, fluid intelligence with puzzle tasks, and reaction time by a task based on the "Snap" card game. Mean age was 54.8 ± 7.4 years and 48.6% were female. Weekly alcohol consumption was 17.7 ± 15.9 units and never drinkers comprised 2.7% of the sample. Alcohol consumption was associated with markers of higher iron (χ) in putamen (β = 0.08 standard deviation (SD) [95% confidence interval (CI) 0.06 to 0.09], p < 0.001), caudate (β = 0.05 [0.04 to 0.07], p < 0.001), and substantia nigra (β = 0.03 [0.02 to 0.05], p < 0.001) and lower iron in the thalami (β = -0.06 [-0.07 to -0.04], p < 0.001). Quintile-based analyses found these associations in those consuming >7 units (56 g) alcohol weekly. MR analyses provided weak evidence these relationships are causal. Genetically predicted alcoholic drinks weekly positively associated with putamen and hippocampus susceptibility; however, these associations did not survive multiple testing corrections. Weak evidence for a causal relationship between genetically predicted alcohol use disorder and higher putamen susceptibility was observed; however, this was not robust to multiple comparisons correction. Genetically predicted alcohol use disorder was associated with serum iron and transferrin saturation. Elevated liver iron was observed at just >11 units (88 g) alcohol weekly c.f. <7 units (56 g). Systemic iron levels partially mediated associations of alcohol intake with brain iron. Markers of higher basal ganglia iron associated with slower executive function, lower fluid intelligence, and slower reaction times. The main limitations of the study include that χ and T2* can reflect changes in myelin as well as iron, alcohol use was self-reported, and MR estimates can be influenced by genetic pleiotropy. CONCLUSIONS: To the best of our knowledge, this study represents the largest investigation of moderate alcohol consumption and iron homeostasis to date. Alcohol consumption above 7 units weekly associated with higher brain iron. Iron accumulation represents a potential mechanism for alcohol-related cognitive decline.

摘要

背景:脑铁沉积与几种神经退行性疾病有关,并在酒精依赖中报告过。目前尚不清楚中度饮酒者是否会出现铁蓄积。我们的目的是研究支持酒精摄入与大脑铁水平之间存在因果关系的证据,并研究更高的大脑铁是否代表了酒精相关认知缺陷的潜在途径。

方法和发现:在英国生物银行 20729 名参与者中,观察性地比较了脑铁标志物与酒精摄入之间的关联(n=20729),以及与基于双样本孟德尔随机化(MR)的遗传预测酒精摄入量和酒精使用障碍之间的关联。酒精摄入量通过基线时(2006 年至 2010 年)的触摸屏问卷进行自我报告。纳入了具有完整数据的参与者。多器官磁化率加权磁共振成像(基线后 9.60±1.10 年)用于确定每个脑区(定量磁化率图(QSM)和 T2*)和肝脏组织(T2*)的铁含量,T2是全身铁的标志物。主要结局是易感性(χ)和 T2,用作铁沉积指标。感兴趣的脑区包括壳核、尾状核、海马体、丘脑和黑质。通过升高的全身铁储存(肝脏)来探索与酒精相关的铁脑蓄积的潜在途径,并在因果中介分析中进行了研究。在扫描时和在线随访(基线后 5.82±0.86 年)评估认知功能。执行功能用连线测试评估,流体智力用拼图任务评估,反应时间用基于“Snap”纸牌游戏的任务评估。平均年龄为 54.8±7.4 岁,48.6%为女性。每周酒精摄入量为 17.7±15.9 单位,从不饮酒者占样本的 2.7%。酒精摄入量与壳核(β=0.08 标准差(SD)[95%置信区间(CI)0.06 至 0.09],p<0.001)、尾状核(β=0.05 [0.04 至 0.07],p<0.001)和黑质(β=0.03 [0.02 至 0.05],p<0.001)的铁含量较高以及丘脑的铁含量较低(β=-0.06 [-0.07 至 -0.04],p<0.001)相关。基于五分位数的分析发现,每周摄入>7 单位(56 克)酒精的人群中存在这些关联。MR 分析提供了微弱的证据表明这些关系是因果关系。每周遗传预测饮酒量与壳核和海马体的易感性呈正相关;然而,这些关联在多重测试校正后并不成立。观察到遗传预测的酒精使用障碍与较高的壳核易感性之间存在因果关系的微弱证据;然而,这在多重比较校正后并不稳健。遗传预测的酒精使用障碍与血清铁和转铁蛋白饱和度有关。每周仅摄入>11 单位(88 克)的酒精就会导致肝脏铁升高,而摄入<7 单位(56 克)的酒精则不会。系统铁水平部分介导了酒精摄入量与大脑铁之间的关联。基底节铁含量较高与执行功能较慢、流体智力较低和反应时间较慢有关。该研究的主要局限性包括 χ 和 T2* 可以反映髓鞘和铁的变化,酒精使用是自我报告的,MR 估计可能受到遗传多效性的影响。

结论:据我们所知,这是迄今为止对中度饮酒和铁稳态进行的最大规模的研究。每周饮酒超过 7 单位与大脑铁含量增加有关。铁蓄积可能是酒精相关认知能力下降的潜在机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/d5c0428b7062/pmed.1004039.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/7d1163fbe9bb/pmed.1004039.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/58170386b100/pmed.1004039.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/d6e96b9a57fc/pmed.1004039.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/7e9856734d49/pmed.1004039.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/ea992bd388ab/pmed.1004039.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/8d4a114fae17/pmed.1004039.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/d5c0428b7062/pmed.1004039.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/7d1163fbe9bb/pmed.1004039.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/58170386b100/pmed.1004039.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/d6e96b9a57fc/pmed.1004039.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/7e9856734d49/pmed.1004039.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/ea992bd388ab/pmed.1004039.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/8d4a114fae17/pmed.1004039.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8188/9282660/d5c0428b7062/pmed.1004039.g007.jpg

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