Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Fujian Medical University Union Hospital, Fuzhou, China.
Translational Medicine Center on Hematology, Fujian Medical University, Fuzhou, China.
Front Immunol. 2024 May 30;15:1400756. doi: 10.3389/fimmu.2024.1400756. eCollection 2024.
Extensive research has been conducted on the correlation between adipose tissue and the risk of malignant lymphoma. Despite numerous observational studies exploring this connection, uncertainty remains regarding a causal relationship between adipose tissue and malignant lymphoma.
The increase or decrease in adipose tissue was represented by the height of BMI. The BMI and malignant lymphoma genome-wide association studies (GWAS) used a summary dataset from the OPEN GWAS website. Single-nucleotide polymorphisms (SNPs) that met the criteria of P <5e-8 and LD of r= 0.001 in the BMI GWAS were chosen as genetic instrumental variants (IVs). Proxy SNPs with LD of r > 0.8 were identified, while palindromic and outlier SNPs were excluded. Mendelian randomization (MR) analysis used five methods, including inverse-variance weighted (IVW) model, weighted median (WM), MR-Egger, simple mode, and weighted mode. Sensitivity assessments included Cochran's Q test, MR-Egger intercept test, and leave-one-out analysis. Participants randomly selected by the National Center for Health Statistics (NHANSE) and newly diagnosed HL patients at Fujian Medical University Union Hospital were used for external validation.
The results of the MR analysis strongly supported the causal link between BMI and Hodgkin's lymphoma (HL). The research demonstrated that individuals with lower BMI face a significantly increased risk of developing HL, with a 91.65% higher risk (OR = 0.0835, 95% CI 0.0147 - 0.4733, P = 0.005). No signs of horizontal or directional pleiotropy were observed in the MR studies. The validation results aligned with the results from the MR analysis (OR = 0.871, 95% CI 0.826 - 0.918, P< 0.001). And there was no causal relationship between BMI and non-Hodgkin's lymphoma (NHL).
The MR analysis study demonstrated a direct correlation between lower BMI and HL. This suggested that a decrease in adipose tissue increases the risk of developing HL. Nevertheless, further research is essential to grasp the underlying mechanism of this causal association comprehensively.
大量研究已经探讨了脂肪组织与恶性淋巴瘤风险之间的相关性。尽管有许多观察性研究探索了这种关联,但脂肪组织与恶性淋巴瘤之间是否存在因果关系仍存在不确定性。
BMI 代表脂肪组织的增减。BMI 和恶性淋巴瘤全基因组关联研究(GWAS)使用了 OPEN GWAS 网站上的汇总数据集。选择符合 BMI GWAS 中 P <5e-8 和 LD r=0.001 标准的单核苷酸多态性(SNP)作为遗传工具变异(IV)。确定 LD r>0.8 的代理 SNP,排除回文和异常 SNP。采用逆方差加权(IVW)模型、加权中位数(WM)、MR-Egger、简单模式和加权模式等五种方法进行孟德尔随机化(MR)分析。敏感性评估包括 Cochran's Q 检验、MR-Egger 截距检验和逐一排除分析。采用美国国家卫生统计中心(NHANSE)随机抽样的参与者和福建医科大学附属协和医院新诊断的 HL 患者进行外部验证。
MR 分析结果强烈支持 BMI 与霍奇金淋巴瘤(HL)之间的因果关系。研究表明,BMI 较低的个体患 HL 的风险显著增加,风险增加 91.65%(OR=0.0835,95%CI 0.0147-0.4733,P=0.005)。MR 研究未发现水平或方向的异质性。验证结果与 MR 分析结果一致(OR=0.871,95%CI 0.826-0.918,P<0.001)。BMI 与非霍奇金淋巴瘤(NHL)之间没有因果关系。
MR 分析研究表明,较低的 BMI 与 HL 直接相关。这表明脂肪组织减少会增加患 HL 的风险。然而,需要进一步的研究来全面掌握这种因果关联的潜在机制。