Suppr超能文献

循环免疫和炎症生物标志物、阿尔茨海默病风险与海马体积:一项孟德尔随机化研究。

Circulating biomarkers of immunity and inflammation, risk of Alzheimer's disease, and hippocampal volume: a Mendelian randomization study.

机构信息

Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.

Institute for Stroke and Dementia Research, University Hospital LMU Munich, Munich, Germany.

出版信息

Transl Psychiatry. 2021 May 17;11(1):291. doi: 10.1038/s41398-021-01400-z.

Abstract

The aim of this study was to explore the association between genetically predicted circulating levels of immunity and inflammation, and the risk of Alzheimer's disease (AD) and hippocampal volume, by conducting a two-sample Mendelian Randomization Study. We identified 12 markers of immune cells and derived ratios (platelet count, eosinophil count, neutrophil count, basophil count, monocyte count, lymphocyte count, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, CD4 count, CD8 count, CD4-to-CD8 ratio, and CD56) and 5 signaling molecules (IL-6, fibrinogen, CRP, and Lp-PLA2 activity and mass) as primary exposures of interest. Other genetically available immune biomarkers with a weaker a priori link to AD were considered secondary exposures. Associations with AD were evaluated in The International Genomics of Alzheimer's Project (IGAP) GWAS dataset (21,982 cases; 41,944 controls of European ancestry). For hippocampal volume, we extracted data from a GWAS meta-analysis on 33,536 participants of European ancestry. None of the primary or secondary exposures showed statistically significant associations with AD or with hippocampal volume following P-value correction for multiple comparisons using false discovery rate < 5% (Q-value < 0.05). CD4 count showed the strongest suggestive association with AD (odds ratio 1.32, P < 0.01, Q > 0.05). There was evidence for heterogeneity in the MR inverse variance-weighted meta-analyses as measured by Cochran Q, and weighted median and weighted mode for multiple exposures. Further cluster analyses did not reveal clusters of variants that could influence the risk factor in distinct ways. This study suggests that genetically predicted circulating biomarkers of immunity and inflammation are not associated with AD risk or hippocampal volume. Future studies should assess competing risk, explore in more depth the role of adaptive immunity in AD, in particular T cells and the CD4 subtype, and confirm these findings in other ethnicities.

摘要

本研究旨在通过两样本孟德尔随机化研究探索遗传预测的循环免疫和炎症水平与阿尔茨海默病(AD)风险和海马体积之间的关联。我们确定了 12 种免疫细胞标志物,并衍生出比值(血小板计数、嗜酸性粒细胞计数、中性粒细胞计数、嗜碱性粒细胞计数、单核细胞计数、淋巴细胞计数、血小板与淋巴细胞比值、单核细胞与淋巴细胞比值、CD4 计数、CD8 计数、CD4 与 CD8 比值、CD56)和 5 种信号分子(IL-6、纤维蛋白原、CRP、Lp-PLA2 活性和质量)作为主要感兴趣的暴露因素。其他具有较弱 AD 先验关联的遗传可用免疫生物标志物被视为次要暴露因素。AD 关联在国际阿尔茨海默病基因组学项目(IGAP)GWAS 数据集(21982 例病例;41944 例欧洲血统对照)中进行了评估。对于海马体积,我们从一项针对 33536 名欧洲血统参与者的 GWAS 荟萃分析中提取了数据。在使用虚假发现率<5%(Q 值<0.05)对多重比较进行 P 值校正后,没有一种主要或次要暴露因素显示与 AD 或海马体积有统计学显著关联。CD4 计数与 AD 呈最强的提示性关联(比值比 1.32,P<0.01,Q>0.05)。MR 逆方差加权荟萃分析中的异质性存在证据,如 Cochran Q 测量、多暴露因素的加权中位数和加权模式。进一步的聚类分析并未发现能够以不同方式影响风险因素的变异簇。本研究表明,遗传预测的循环免疫和炎症生物标志物与 AD 风险或海马体积无关。未来的研究应评估竞争风险,更深入地探讨适应性免疫在 AD 中的作用,特别是 T 细胞和 CD4 亚型,并在其他种族中确认这些发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/418f/8129147/8e349152de53/41398_2021_1400_Fig1_HTML.jpg

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