收藏切换
Mediating Effect of Inflammatory Factor Indicators on Causal Relationship Between Hyperlipidemia and Type 2 Diabetes by Two-Sample Bidirectional Mendelian Randomization
收藏切换
Qingwen MAO, Yan SHI, Yufeng YANG
Chinese Archives of Traditional Chinese Medicine | 2026, 44(3) : 114 - 119
Less
收藏切换
Chinese Archives of Traditional Chinese Medicine | 2026, 44(3): 114-119
• Target on National Project •
Mediating Effect of Inflammatory Factor Indicators on Causal Relationship Between Hyperlipidemia and Type 2 Diabetes by Two-Sample Bidirectional Mendelian Randomization
Full
Qingwen MAO, Yan SHI, Yufeng YANG
Affiliations
  • Liaoning University of Traditional Chinese Medicine, Shenyang 110032, Liaoning, China
Published: 2026-03-10 doi: 10.13193/j.issn.1673-7717.2026.03.022
Outline
收藏切换
Objective

To explore the genetic association between hyperlipidemia and type 2 diabetes mellitus using the Mendelian randomization(MR)method, and to clarify the potential mediating role of circulating inflammatory factors in the relationship between them.

Methods

Public Genome-wide association study(GWAS)data was used. The hyperlipidemia data was obtained from GCST90475724(including 436 724 cases, with 17 425 cases of hyperlipidemia). The T2DM data was from a study by Loh PR and other authors on 468 298 European individuals. The inflammatory factor data was derived from the plasma proteome study by TRAYLOR M(91 analyzable inflammatory factors were screened out). A two-sample bidirectional MR analysis was conducted to evaluate the total effect between hyperlipidemia and T2DM. A two-step MR method was used for mediation analysis. First, the causal effect of hyperlipidemia on inflammatory factors was determined, and then the impact of inflammatory factors on T2DM was assessed, so as to quantify the direct effect and mediating effect. For the selection of instrumental variables single nucleotide polymorphisms(SNPs), a significant association criterion of P < 5 × 10-8 was adopted. Linkage disequilibrium screening(R2 < 0.001, threshold of 10 000 kb)and F-statistic(> 10)were used to ensure the validity of instrumental variables. The inverse variance weighting(IVW)was used as the main analysis method, supplemented by sensitivity analyses such as maximum likelihood method, weighted median method, MR-Egger regression and MR-PRESSO to verify the robustness of the results.

Results

There was a significant association between hyperlipidemia and T2DM(OR = 1.748, 95% CI = 1.013-3.015, P = 0.044), and there was no significant heterogeneity or horizontal pleiotropy. Mediation analysis found that 7 inflammatory factors were associated with T2DM. Among them, fibroblast growth factor 21(FGF21, OR = 1.595, P = 0.009)was a risk factor, and fibroblast growth factor 19(FGF19, OR = 0.807, P = 0.001)was a protective factor. Further analysis showed that interleukin-4(IL-4, OR = 1.089, P = 0.012)and FGF19(OR = 0.863, P = 0.043)might act as mediating factors and participate in the causal pathway from hyperlipidemia to T2DM.

Conclusion

This study reveals the genetic causal relationship between hyperlipidemia and T2DM, confirms the mediating role of specific inflammatory factors in the association between the two. At the same time, traditional Chinese medicine plays an important role in the treatment of both diseases, providing genetic evidence and important means for preventing or treating T2DM by regulating inflammatory factors.

hyperlipidemia  /  type 2 diabetes mellitus  /  Mendelian randomization  /  inflammatory factor  /  mediating effect  /  genetic association  /  GWAS  /  traditional Chinese medicine
毛清雯, 石岩, 杨宇峰. 炎症因子指标介导高脂血症与2型糖尿病因果关系的两样本双向孟德尔随机化研究. 中华中医药学刊, 2026 , 44 (3) : 114 -119 . DOI: 10.13193/j.issn.1673-7717.2026.03.022
Qingwen MAO, Yan SHI, Yufeng YANG. Mediating Effect of Inflammatory Factor Indicators on Causal Relationship Between Hyperlipidemia and Type 2 Diabetes by Two-Sample Bidirectional Mendelian Randomization[J]. Chinese Archives of Traditional Chinese Medicine, 2026 , 44 (3) : 114 -119 . DOI: 10.13193/j.issn.1673-7717.2026.03.022
Year 2026 volume 44 Issue 3
89
15
Cite this Article
BibTeX
Article Info
doi: 10.13193/j.issn.1673-7717.2026.03.022
  • Online Date:2026-10-14
  • Published:2026-03-10
Article Data
Affiliations
History
Funding
Affiliations
    Liaoning University of Traditional Chinese Medicine, Shenyang 110032, Liaoning, China
References
Share
https://castjournals.cast.org.cn/joweb/zhzyyxk/EN/10.13193/j.issn.1673-7717.2026.03.022
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT