调查体重指数与认知功能之间的因果关系和共享遗传结构:全基因组跨性状分析和双向孟德尔随机化研究。

IF 4.1 2区 医学 Q2 GERIATRICS & GERONTOLOGY Frontiers in Aging Neuroscience Pub Date : 2024-10-16 eCollection Date: 2024-01-01 DOI:10.3389/fnagi.2024.1466799
Mingyi Chen, Xiaoxin Xu, Fang Wang, Xiaohong Xu
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引用次数: 0

摘要

背景和目的:观察性研究证实,体重指数(BMI)与认知能力下降风险增加之间存在联系。然而,对不同年龄组的体重指数与认知功能之间的因果关系以及这种关系的遗传基础的全面调查却明显缺乏。本研究旨在通过进行全面的全基因组分析,研究体重指数与认知功能之间的因果关系及其共同的遗传基础,从而为制定促进认知健康的个性化干预策略提供有价值的见解:方法:利用全基因组关联研究(GWAS)的数据,通过协变量遗传分析和链式不平衡得分回归,深入研究了体重指数与认知功能之间的遗传关联。研究采用了双向孟德尔随机化(MR)来发现关联,并通过跨性状荟萃分析(Cross-trait meta-analysis)和基于摘要数据的MR(SMR)对潜在的功能基因进行了进一步研究。随后,研究人员对已确定的风险 SNP 在组织和细胞中的表达谱进行了详细检查:研究发现,体重指数与认知功能之间存在明显的负相关(β = -0.16,P = 1.76E-05),这表明两者之间存在因果联系,即较高的体重指数值可预测认知障碍。我们通过跨性状荟萃分析确定了 BMI 与认知功能之间的 5 个遗传位点(rs6809216、rs7187776、rs11713193、rs13096480 和 rs13107325),并通过 SMR 分析确定了 5 对基因-组织配对。此外,跨性状分析和SMR分析均发现了两个新的风险基因TUFM和MST1R,这在以往的研究中从未观察到。此外,单核苷酸多态性(SNPs)在组织和细胞特异性水平上对体重指数和认知功能都有明显的富集作用,主要是在大脑中:本研究揭示了体重指数与认知功能之间的因果关系,发现 TUFM 和 MST1R 是与这两种情况相关的共同遗传因素。这项新发现为制定预防肥胖者认知功能下降的策略提供了新的见解,并进一步加深了我们对这些疾病的潜在病理生理学的了解。此外,这些发现还可作为开发创新治疗方法的指南,以解决肥胖者认知能力下降的问题。
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Investigating causality and shared genetic architecture between body mass index and cognitive function: a genome-wide cross-trait analysis and bi-directional Mendelian randomization study.

Background and objectives: Observational studies have established a connection between body mass index (BMI) and an increased risk of cognitive decline. However, a comprehensive investigation into the causal relationships between BMI and cognitive function across diverse age groups, as well as the genetic underpinnings of this relationship, has been notably lacking. This study aims to investigate causality and the shared genetic underpinnings of between BMI and cognitive function by conducting a thorough genome-wide analysis, thereby provide valuable insights for developing personalized intervention strategies to promote cognitive health.

Methods: Genetic associations between BMI and cognitive function were thoroughly investigated through covariate genetic analysis and chained imbalance score regression, utilizing data from genome-wide association studies (GWAS). Bi-directional Mendelian Randomization (MR) was employed to uncover associations and potential functional genes were further scrutinized through Cross-trait meta-analysis and Summary-data-based MR (SMR). Subsequently, a detailed examination of the expression profiles of the identified risk SNPs in tissues and cells was conducted.

Results: The study found a significant negative correlation between BMI and cognitive function (β = -0.16, P = 1.76E-05), suggesting a causal linkage where higher BMI values were predictive of cognitive impairment. We identified 5 genetic loci (rs6809216, rs7187776, rs11713193, rs13096480, and rs13107325) between BMI and cognitive function by cross-trait meta-analysis and 5 gene-tissue pairs were identified by SMR analysis. Moreover, two novel risk genes TUFM and MST1R were shared by both cross-trait analysis and SMR analysis, which had not been observed in previous studies. Furthermore, significant enrichment of single nucleotide polymorphisms (SNPs) at tissue- and cell-specific levels was identified for both BMI and cognitive function, predominantly within the brain.

Conclusion: This study uncovers a causal relationship between BMI and cognitive function, with the discovery of TUFM and MST1R as shared genetic factors associated with both conditions. This novel finding offers new insights into the development of preventative strategies for cognitive decline in obese individuals, and further enhances our understanding of the underlying pathophysiology of these conditions. Furthermore, these findings could serve as a guide for the development of innovative therapeutic approaches to address cognitive decline in obese individuals.

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来源期刊
Frontiers in Aging Neuroscience
Frontiers in Aging Neuroscience GERIATRICS & GERONTOLOGY-NEUROSCIENCES
CiteScore
6.30
自引率
8.30%
发文量
1426
期刊介绍: Frontiers in Aging Neuroscience is a leading journal in its field, publishing rigorously peer-reviewed research that advances our understanding of the mechanisms of Central Nervous System aging and age-related neural diseases. Specialty Chief Editor Thomas Wisniewski at the New York University School of Medicine is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
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