Suppr超能文献

研究代谢紊乱与神经退行性疾病的共同遗传结构和因果关系。

Investigating the common genetic architecture and causality of metabolic disorders with neurodegenerative diseases.

作者信息

Hong Hao, Fu Qi, Gu Pan, Zhao Jingyi, Dai Jinglan, Xu Kuanfeng, Yang Tao, Dai Hao, Shen Sipeng

机构信息

Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.

Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

出版信息

Diabetes Obes Metab. 2025 Mar;27(3):1337-1349. doi: 10.1111/dom.16130. Epub 2024 Dec 20.

Abstract

BACKGROUND

The co-occurrence of metabolic dysfunction and neurodegenerative diseases suggests a genetic link, yet the shared genetic architecture and causality remain unclear. We aimed to comprehensively characterise these genetic relationships.

METHODS

We investigated genetic correlations among four neurodegenerative diseases and seven metabolic dysfunctions, followed by bidirectional Mendelian randomisation (MR) to assess potential causal relationships. Pleiotropy analysis (PLACO) was used to detect the pleiotropic effects of genetic variants. Significant pleiotropic loci were refined and annotated using functional mapping and annotation (FUMA) and Bayesian colocalisation analysis. We further explored mapped genes with tissue-specific expression and gene set enrichment analyses.

RESULTS

We identified significant genetic correlations in nine out of 28 trait pairs. MR suggested causal relationships between specific trait pairs. Pleiotropy analysis revealed 25 931 significant single-nucleotide polymorphisms, with 246 pleiotropic loci identified via FUMA and 55 causal loci through Bayesian colocalisation. These loci are involved in neurotransmitter transport and immune response mechanisms, notably the missense variant rs41286192 in SLC18B1. The tissue-specific analysis highlighted the pancreas, left ventricle, amygdala, and liver as critical organs in disease progression. Drug target analysis linked 74 unique genes to existing therapeutic agents, while gene set enrichment identified 189 pathways related to lipid metabolism, cell differentiation and immune responses.

CONCLUSION

Our findings reveal a shared genetic basis, pleiotropic loci, and potential causal relationships between metabolic dysfunction and neurodegenerative diseases. These insights highlight the biological connections underlying their phenotypic association and offer implications for future research to reduce the risk of neurodegenerative diseases.

摘要

背景

代谢功能障碍与神经退行性疾病的共同出现提示存在遗传联系,但共同的遗传结构和因果关系仍不清楚。我们旨在全面描述这些遗传关系。

方法

我们研究了四种神经退行性疾病与七种代谢功能障碍之间的遗传相关性,随后进行双向孟德尔随机化(MR)以评估潜在的因果关系。采用多效性分析(PLACO)来检测遗传变异的多效性作用。使用功能映射和注释(FUMA)以及贝叶斯共定位分析对显著的多效性位点进行细化和注释。我们通过组织特异性表达和基因集富集分析进一步探索定位的基因。

结果

我们在28个性状对中的9对中发现了显著的遗传相关性。MR提示了特定性状对之间的因果关系。多效性分析揭示了25931个显著的单核苷酸多态性,通过FUMA鉴定出246个多效性位点,通过贝叶斯共定位鉴定出55个因果位点。这些位点参与神经递质转运和免疫反应机制,特别是溶质载体家族18成员B1(SLC18B1)中的错义变异rs41286192。组织特异性分析突出了胰腺、左心室、杏仁核和肝脏是疾病进展中的关键器官。药物靶点分析将74个独特基因与现有治疗药物联系起来,而基因集富集确定了189条与脂质代谢、细胞分化和免疫反应相关的途径。

结论

我们的研究结果揭示了代谢功能障碍与神经退行性疾病之间共同的遗传基础、多效性位点和潜在的因果关系。这些见解突出了它们表型关联背后的生物学联系,并为未来降低神经退行性疾病风险的研究提供了启示。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验