遗传决定的鱼和鱼油摄入量对表观遗传年龄加速和相关血清标志物的因果影响。

IF 3.8 3区 医学 Q2 GENETICS & HEREDITY
Paul Fabian, Gil Blander, Renee Deehan, Ali Torkamani, Bartek Nogal
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引用次数: 0

摘要

背景:饮食与健康寿命的相互作用是生物医学研究的热点。为此,食用海洋omega-3脂肪酸具有特别重要的意义,因为有报告表明,以海鲜为重点的饮食可以延长人类无病的寿命。根据表观遗传时钟的测量,吃鱼也与减缓生物衰老有关,但没有确凿的证据表明两者之间存在因果关系。此外,鱼油可以降低甘油三酯,并可能影响其他脂质分布,以及全身炎症。为了进一步研究,我们使用双样本孟德尔随机化来调查鱼类摄入量与健康寿命标记之间的潜在因果关系。方法:双向孟德尔随机化在两样本设置与公开的GWAS汇总统计。英国生物银行关于食用油性鱼类(n = 460,443)和补充鱼油(n = 461,384)的GWAS数据被用作主要暴露。第一代表观遗传时钟Hannum age和intrinsic表观遗传年龄加速(IEAA),以及第二代时钟GrimAge和PhenoAge从欧洲血统个体的独立数据集中收集(n =[34,449-34,667])。最后,综合流行病学单位数据库的数据用于血脂和全身性炎症的血清指标(n =[61,308-78,700])。当逆方差加权(IVW)方法显著(p值< 0.05),且MR Egger方法表明与IVW结果方向相同时,对暴露-结果对进行了额外的敏感性分析,如反向因果检验和科克伦Q检验。结果:我们报道,食用油性鱼类似乎会降低表型加速(p < 0.0086),而补充鱼油似乎会降低GrimAge (p = 0.037)。两种omega-3的暴露都会使表观遗传时钟朝着预期的消极方向改变,即衰老减缓。对于血清生物标志物,我们发现鱼油摄入导致甘油三酯降低的证据(p = 0.004),尽管高密度脂蛋白和低密度脂蛋白没有显著改变。最后,我们还发现了含油鱼类消费与hsCRP之间的暗示反比关系(p = 0.064)。结论:我们的分析表明,食用鱼油,无论是通过天然食物还是作为补充剂,都可以通过表型age和GrimAge加速来测量恢复活力的影响。我们还提供了证据,进一步将鱼油摄入与较低的甘油三酯水平联系起来。这些结果基于可靠的磁共振分析,强调了饮食选择在改变健康跨度新指标方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Causal impact of genetically-determined fish and fish oil intake on epigenetic age acceleration and related serum markers.

Background: The interplay between diet and healthspan is a topic of great interest in biomedical research. Toward this end, consumption of marine omega-3 fatty acids is of particular significance, as reports suggest that diets focused on seafood can prolong the disease-free portion of the human lifespan. Fish consumption has also been linked to reduced biological aging as measured by epigenetic clocks, but there is no conclusive evidence of a causal relationship. Moreover, fish oils reduce triglycerides, and may affect other lipid profiles, as well as systemic inflammation. To investigate further, we used two-sample Mendelian randomization to investigate potential causality between fish intake and healthspan markers.

Methods: Bidirectional Mendelian randomization was performed in the two-sample setting with publicly available GWAS summary statistics. GWAS data from the UK Biobank for oily fish consumption (n = 460,443) and fish oil supplementation (n = 461,384) were used as the primary exposures. First-generation epigenetic clocks Hannum age and intrinsic epigenetic age acceleration (IEAA), as well as second-generation clocks GrimAge and PhenoAge were collected from an independent dataset of individuals of European ancestry (n = [34,449-34,667]). Finally, data from the Integrative Epidemiology Unit database was used for serum proxies of lipidemia and systemic inflammation (n = [61,308-78,700]). Additional sensitivity analyses, such as reverse causation testing and the Cochran's Q test were performed for exposure-outcome pairs where the inverse variance weighted (IVW) method was significant (p-value < 0.05), and where the MR Egger method indicated an effect in the same direction as the IVW result.

Results: We report that oily fish consumption appears to decrease PhenoAge acceleration (p < 0.0086), whereas fish oil supplementation appears to decrease GrimAge (p = 0.037). Both omega-3 exposures modify the epigenetic clocks in the expected negative, or age-decelerating, direction. For the serum biomarkers, we find evidence that fish oil consumption leads to a reduction in triglycerides (p = 0.004), although HDL and LDL were not significantly modified. Finally, we also detected a suggestive inverse relationship between oily fish consumption and hsCRP (p = 0.064).

Conclusions: Our analysis shows that consuming fish oil, whether through whole food or as a supplement, can have a rejuvenating impact as measured by PhenoAge and GrimAge acceleration. We have also provided evidence further linking fish oil intake and lower triglyceride levels. These results, based on robust MR-based analyses, emphasize the effectiveness of dietary choices in modifying emerging measures of healthspan.

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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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