Exploring the causal relationship between gut microbiota and multiple myeloma risk based on Mendelian randomization and biological annotation

孟德尔随机化 注释 计算生物学 生物 肠道菌群 多发性骨髓瘤 遗传学 生物信息学 免疫学 基因 遗传变异 基因型
作者
Zuxi Feng,Minjing Liao,Jun Bai,Yanhong Li,Yue Chen,Li Zhang,Xiong Guo,Lijuan Li,Liansheng Zhang
出处
期刊:Frontiers in Microbiology [Frontiers Media SA]
卷期号:15
标识
DOI:10.3389/fmicb.2024.1310444
摘要

Introduction The microbial genome-wide association studies (mbGWAS) have highlighted significant host-microbiome interactions based on microbiome heritability. However, establishing causal relationships between particular microbiota and multiple myeloma (MM) remains challenging due to limited sample sizes. Methods Gut microbiota data from a GWAS with 18,340 participants and MM summary statistics from 456,348 individuals. The inverse variance-weighted (IVW) method was used as the main bidirectional Mendelian randomization (MR) analysis. To assess the robustness of our results, we further performed supplementary analyses, including MR pleiotropy residual sum and outlier (MR-PRESSO) test, MR-Egger, Weighted median, Simple mode, and Weighted mode. Moreover, a backward MR analysis was conducted to investigate the potential for reverse causation. Finally, gene and gene-set-based analyses were then conducted to explore the common biological factors connecting gut microbiota and MM. Results We discovered that 10 gut microbial taxa were causally related to MM risk. Among them, family Acidaminococcaceae , Bacteroidales family S24-7, family Porphyromonadaceae , genus Eubacterium ruminantium group , genus Parabacteroides , and genus Turicibacter were positively correlated with MM. Conversely, class Verrucomicrobia , family Verrucomicrobiaceae , genus Akkermansia , and order Verrucomicrobiales were negatively correlated with MM. The heterogeneity test revealed no Heterogeneity. MR-Egger and MR-PRESSO tests showed no significant horizontal pleiotropy. Importantly, leave-one-out analysis confirmed the robustness of MR results. In the backward MR analysis, no statistically significant associations were discovered between MM and 10 gut microbiota taxa. Lastly, we identified novel host-microbiome shared genes (AUTS2, CDK2, ERBB3, IKZF4, PMEL, SUOX, and RAB5B) that are associated with immunoregulation and prognosis in MM through biological annotation. Discussion Overall, this study provides evidence supporting a potential causal relationship between gut microbiota and MM risk, while also revealing novel host-microbiome shared genes relevant to MM immunoregulation and clinical prognosis.

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