当前位置:首页 / 免疫细胞表型、血浆代谢物表型与骨质疏松症的因果关联及中介效应:一项基于GWAS数据的孟德尔随机化研究▲
| 更新时间:2026-07-13
|
免疫细胞表型、血浆代谢物表型与骨质疏松症的因果关联及中介效应:一项基于GWAS数据的孟德尔随机化研究▲
Causal associations and mediating effect of immune cell phenotypes and plasma metabolite phenotypes with osteoporosis: a Mendelian randomization study based on GWAS data

内科 页码:306-312

作者机构:广西中医药大学,广西南宁市 530001

基金信息:广西自然科学基金项目(2025GXNSFAA069921);广西中医药适宜技术开发与推广项目(GZSY22-39);广西高校中青年教师科研基础能力提升项目(2023KY0326) 通信作者:夏天

DOI:10.16121/j.cnki.cn45-1347/r.2026.03.09

  • 中文简介
  • 英文简介
  • 参考文献

目的 探讨免疫细胞表型、血浆代谢物表型与骨质疏松症之间的因果关联及中介效应。方法 采用两样本孟德尔随机化(MR)研究设计,基于全基因组关联研究(GWAS)汇总数据,纳入731种免疫细胞表型、1 400种血浆代谢物表型及FinnGen R12数据库的骨质疏松症数据;筛选符合条件的独立单核苷酸多态性(SNP)作为工具变量,以逆方差加权(IVW)法为主要分析方法并辅以MR-Egger回归法、加权中位数估计法、加权模式法和简单模式法估计因果效应,联合异质性检验、水平多效性检验、留一法敏感性分析及反向MR验证结果稳健性;采用乘积系数法结合Delta法进行中介效应分析。结果 (1)正向MR分析:IVW法结果显示,4种免疫细胞表型[CD28-CD25++CD8br%CD8br、T细胞SSC-A、浆细胞样树突状细胞CD80、CD28-DN(CD4-CD8-)AC]及8种血浆代谢物表型[7-甲基黄嘌呤水平、鞘磷脂水平、N-乙酰葡萄糖胺/N-乙酰半乳糖胺水平、二十三酰基鞘磷脂水平、乙基-β-D-吡喃葡萄糖苷水平、12,13-二羟基十八碳-9-烯酸(12,13-diHOME)水平、X-23739水平及磷酸与苏氨酸比值]均与骨质疏松症存在统计学意义上的因果关联(均P<0.01),且不存在统计学意义上的水平多效性(MR-Egger回归的截距项检验均P>0.05)及异质性(Cochran Q检验均P>0.05);留一法敏感性分析显示,剔除任一SNP后总效应估计值无明显波动。(2)反向MR分析:未发现骨质疏松症对免疫细胞表型的反向因果作用(5种MR分析方法均P>0.05)。(3)中介效应分析结果显示,12,13-diHOME水平在CD28-CD25++CD8br%CD8br与骨质疏松症的因果路径中发挥部分中介作用(三者均呈正向关联),中介效应值为0.015(P=0.012),占总效应的12.88%。结论 多种免疫细胞表型及血浆代谢物表型与骨质疏松症存在因果关联;其中,CD28-CD25++CD8br%CD8br可通过上调血浆12,13-diHOME水平部分介导骨质疏松症风险的增加。

Objective To investigate the causal associations and mediating effect of immune cell phenotypes, plasma metabolite phenotypes, and osteoporosis. Methods A two‑sample Mendelian randomization (MR) study design was adopted, using summary‑level data from genome‑wide association studies (GWAS), in which a total of 731 immune cell phenotypes, 1 400 plasma metabolite phenotypes, and osteoporosis data from the FinnGen R12 database were included. Independent single‑nucleotide polymorphisms (SNPs) meeting the criteria were selected as instrumental variables. The inverse‑variance weighted (IVW) method was used as the primary analytical approach, supplemented by MR‑Egger regression, weighted median estimator, weighted mode, and simple mode methods to estimate causal effects; heterogeneity tests, horizontal pleiotropy tests, leave‑one‑out sensitivity analysis, and reverse MR were performed to validate the robustness of the results. Mediating effect analysis was conducted via the product‑of‑coefficients method combined with the Delta method. Results (1) Forward MR analysis: Results from IVW analysis indicated that 4 immune cell phenotypes—percentage of CD8+ high-expression cell subsets that were CD28-negative and strongly CD25-positive among all CD8+ high‑expression cell populations (CD28-CD25++CD8br%CD8br), side scatter area of T cells, expression level of CD80 on the surface of plasmacytoid dendritic cells, absolute count of CD28-negative double-negative T cells (CD4-negative, CD8-negative)—and 8 plasma metabolite phenotypes (7‑methylxanthine level, sphingomyelin level, N‑acetylglucosamine/N‑acetylgalactosamine level, tricosanoyl sphingomyelin level, ethyl‑β‑D‑glucopyranoside level, 12,13‑dihydroxy-9-octadecenoic acid [12,13‑diHOME] level, X‑23739 level, and the phosphoric acid‑to‑threonine ratio) showed statistically significant causal associations with osteoporosis (all P<0.01). No statistically significant horizontal pleiotropy (MR‑Egger regression intercept test showed all P>0.05) or heterogeneity (Cochran's Q test showed all P>0.05) was detected. Leave-one-out sensitivity analysis showed no significant fluctuations in the overall effect estimates after removing any single SNP. (2) Reverse MR analysis: No reverse causal effect of osteoporosis on immune cell phenotypes was observed (all 5 MR methods showed P>0.05). (3) Mediating effect analysis revealed that 12,13‑diHOME levels partially mediated the causal pathway from CD28-CD25++CD8br%CD8br to osteoporosis (all three associations were positive), with a mediating effect value of 0.015 (P=0.012), accounting for 12.88% of the total effect. Conclusion Multiple immune cell phenotypes and plasma metabolite phenotypes are causally associated with osteoporosis. Among them, CD28-CD25++CD8br%CD8br may partially mediate an increased risk of osteoporosis through upregulating plasma 12,13‑diHOME levels.

5

浏览量

1

下载量

0

CSCD

工具集